1 00:00:01,200 --> 00:00:04,120 Speaker 1: Welcome back to a Numbers game with Ryan Gerdusky. I 2 00:00:04,160 --> 00:00:08,240 Speaker 1: am your host. Happy Monday, everybody. Before I get to 3 00:00:08,360 --> 00:00:11,160 Speaker 1: the main topic of this show, I want to talk 4 00:00:11,360 --> 00:00:15,120 Speaker 1: about some gossip I heard, like from DC circles about 5 00:00:15,160 --> 00:00:17,720 Speaker 1: the Epstein files for a second, and this is not 6 00:00:17,920 --> 00:00:21,000 Speaker 1: like the actual file itself or you know what's in it, 7 00:00:21,360 --> 00:00:25,360 Speaker 1: but it's the background of Pam Bondi before she did 8 00:00:25,360 --> 00:00:29,120 Speaker 1: that whole binder incident at the White House with those influencers. 9 00:00:29,720 --> 00:00:32,400 Speaker 1: So I talked to a bunch of people who were 10 00:00:32,400 --> 00:00:36,600 Speaker 1: there and who have been in and around her orbit 11 00:00:36,800 --> 00:00:41,200 Speaker 1: since then. So the meeting of those influencers was supposed 12 00:00:41,200 --> 00:00:44,240 Speaker 1: to be like this giving access to new media thing 13 00:00:44,240 --> 00:00:46,680 Speaker 1: where a bunch of cabinet secretaries and the president, the 14 00:00:46,720 --> 00:00:49,280 Speaker 1: vice president got to meet with these influencers and whatnot. 15 00:00:49,320 --> 00:00:50,960 Speaker 1: It wasn't supposed to be anything to do with Epstein 16 00:00:51,600 --> 00:00:54,200 Speaker 1: and Bondi walked in with all these binders full of 17 00:00:54,240 --> 00:00:57,000 Speaker 1: nothing and was like this is part one, and YadA, YadA, yad, 18 00:00:57,040 --> 00:00:59,720 Speaker 1: and there was a picture that everyone saw and basically 19 00:00:59,760 --> 00:01:04,319 Speaker 1: made story go mainstream. Well, I've done my homework, and 20 00:01:04,360 --> 00:01:06,120 Speaker 1: I've called the people, and I've called a lot of 21 00:01:06,120 --> 00:01:08,240 Speaker 1: people in and around her orbit because I just wanted 22 00:01:08,240 --> 00:01:12,200 Speaker 1: to know why, like what was the main thing going 23 00:01:12,280 --> 00:01:16,280 Speaker 1: on to fuel this incident that has made this story 24 00:01:16,319 --> 00:01:19,120 Speaker 1: live on for like a month now. And there's two 25 00:01:19,360 --> 00:01:27,160 Speaker 1: things I can point to. First, Pambondy allegedly openly hates 26 00:01:27,480 --> 00:01:31,320 Speaker 1: Representative Anna Polina Luna from Florida, comes from from Florida, 27 00:01:31,880 --> 00:01:36,920 Speaker 1: to the point that she was complaining about her and 28 00:01:37,000 --> 00:01:40,520 Speaker 1: saying from people around her, saying I can't stand her 29 00:01:40,520 --> 00:01:44,520 Speaker 1: and I hate her while using the female bathroom facilities 30 00:01:44,840 --> 00:01:47,560 Speaker 1: in the west and the White House. She was complaining 31 00:01:47,560 --> 00:01:49,480 Speaker 1: about her there, she complained about in the hallway, she 32 00:01:49,600 --> 00:01:52,360 Speaker 1: was saying out loud. And Anna Polina Luna, for those 33 00:01:52,400 --> 00:01:57,240 Speaker 1: who don't know, has been trying to push this Epstein 34 00:01:57,400 --> 00:02:00,760 Speaker 1: stuff for some time, for quite a few months, even 35 00:02:00,840 --> 00:02:04,480 Speaker 1: before the Binder incident. And I think I'm not sure 36 00:02:04,480 --> 00:02:06,040 Speaker 1: about this. I shouldn't even say it, but I think 37 00:02:06,120 --> 00:02:10,040 Speaker 1: there's like beef that goes back to Florida. But I'm 38 00:02:10,080 --> 00:02:14,600 Speaker 1: not exactly sure. But the prodding and the pushing by 39 00:02:14,760 --> 00:02:18,880 Speaker 1: Luna over the Epstein file, BONDI thought she was going 40 00:02:18,960 --> 00:02:22,480 Speaker 1: to steal her thunder by bringing out these binders and 41 00:02:22,520 --> 00:02:27,200 Speaker 1: it completely was mishandled and has caused a backlash that 42 00:02:27,280 --> 00:02:31,080 Speaker 1: is like the never ending story. The second reason, and 43 00:02:31,120 --> 00:02:33,520 Speaker 1: this came to me from several consultants who I know, 44 00:02:33,680 --> 00:02:40,000 Speaker 1: and this is a real curveball, was Bondi allegedly was 45 00:02:40,120 --> 00:02:47,000 Speaker 1: trying to build relationships with these influencers because she's thinking 46 00:02:47,160 --> 00:02:50,239 Speaker 1: about running for president in twenty twenty eight. Now, I 47 00:02:50,280 --> 00:02:54,400 Speaker 1: spoke to someone who's very in the know, and they 48 00:02:54,480 --> 00:02:57,200 Speaker 1: said that she's had conversations about running for the White 49 00:02:57,200 --> 00:03:00,120 Speaker 1: House in three years. And this is the thinking in 50 00:03:00,200 --> 00:03:03,640 Speaker 1: DC circles, right. Obviously, Vice President JD. Vance and Senator 51 00:03:03,639 --> 00:03:06,520 Speaker 1: of Marc ro Rubia sorry, Secretary Marco Rubio are in 52 00:03:06,639 --> 00:03:09,280 Speaker 1: the you know, the favorites to be the next nominee, 53 00:03:09,280 --> 00:03:11,519 Speaker 1: with the edge obviously going to Vance, but Rubio is 54 00:03:11,639 --> 00:03:15,600 Speaker 1: very very well liked and respected. Well, there's this idea 55 00:03:15,960 --> 00:03:19,560 Speaker 1: in Washington circles, in political circles, that there is an 56 00:03:19,639 --> 00:03:22,760 Speaker 1: inevitability that we're going to have another woman on the 57 00:03:22,800 --> 00:03:25,480 Speaker 1: ticket eventually, if not this year, if not starting in 58 00:03:25,520 --> 00:03:28,120 Speaker 1: twenty twenty eight, maybe in twenty thirty two, there will 59 00:03:28,160 --> 00:03:32,240 Speaker 1: be a female vice president on the ballot or female 60 00:03:32,280 --> 00:03:36,280 Speaker 1: president on the ballot. Republicans obviously only had one female 61 00:03:36,280 --> 00:03:39,560 Speaker 1: president ever vice president nominee ever in two thousand and eight, 62 00:03:39,920 --> 00:03:43,320 Speaker 1: and Democrats have had them four times in nineteen eighty four, 63 00:03:43,400 --> 00:03:46,920 Speaker 1: twenty sixteen, twenty twenty, and twenty twenty four. So a 64 00:03:47,000 --> 00:03:50,800 Speaker 1: bunch of Republican women are trying to figure out the 65 00:03:50,880 --> 00:03:54,280 Speaker 1: way to own the female lane basically in the next election, 66 00:03:54,360 --> 00:03:59,240 Speaker 1: to be a female candidate like Nicki Haley was Nicki Haley. 67 00:03:59,400 --> 00:04:01,840 Speaker 1: For as much as everyone dogs her and says how 68 00:04:01,920 --> 00:04:04,440 Speaker 1: terrible she was, she was the first woman. I mean, 69 00:04:04,480 --> 00:04:07,160 Speaker 1: credit goes to where it's due. She was the very 70 00:04:07,200 --> 00:04:10,960 Speaker 1: first woman Republican nominee candidate ever in a primary to 71 00:04:10,960 --> 00:04:13,920 Speaker 1: win a county and to win a state. So she 72 00:04:14,080 --> 00:04:18,200 Speaker 1: broke that barrier. So the idea and the thinking is 73 00:04:18,320 --> 00:04:20,760 Speaker 1: if they could be the nominee to win a bunch 74 00:04:20,800 --> 00:04:25,680 Speaker 1: of states, maybe not win the nomination, but do well enough, 75 00:04:26,200 --> 00:04:29,760 Speaker 1: they can then secure a top cabin position like secretary 76 00:04:29,800 --> 00:04:33,680 Speaker 1: of State or the vice presidency and then run from there. 77 00:04:33,760 --> 00:04:36,760 Speaker 1: Like basically, it's like a two to three step series 78 00:04:36,800 --> 00:04:40,200 Speaker 1: to break that glass ceiling, and a number of Republican women, 79 00:04:40,360 --> 00:04:45,240 Speaker 1: like allegedly Elis Stephonic Christy Nome and Pam Bondy are 80 00:04:45,360 --> 00:04:48,640 Speaker 1: talking about how to own the female lane. Is that 81 00:04:48,680 --> 00:04:52,320 Speaker 1: gonna work? I don't really know. Can Pam Bondi come 82 00:04:52,360 --> 00:04:56,680 Speaker 1: back from this horrendous pr stunt? I don't necessarily think so, 83 00:04:56,760 --> 00:04:59,320 Speaker 1: but you know, stranger things have happened. Donald Trump made 84 00:04:59,320 --> 00:05:03,679 Speaker 1: a huge comeback, much bigger than this. So is it possible. Yeah, 85 00:05:03,920 --> 00:05:07,000 Speaker 1: it's likely. I don't think so, but someone is preparing 86 00:05:07,040 --> 00:05:10,360 Speaker 1: to run to own this female lane and that will 87 00:05:10,400 --> 00:05:12,960 Speaker 1: be very interesting to keep an eye out on. Okay, 88 00:05:13,720 --> 00:05:16,479 Speaker 1: now for the main topic of the show, I want 89 00:05:16,520 --> 00:05:19,400 Speaker 1: to talk about political identity because a poll came out 90 00:05:19,480 --> 00:05:22,799 Speaker 1: from Pew Research and it found that forty six percent 91 00:05:22,800 --> 00:05:26,680 Speaker 1: of Americans identify as Republicans and forty five percent identify 92 00:05:26,720 --> 00:05:30,000 Speaker 1: as Democrats. You may think that one point lead is 93 00:05:30,000 --> 00:05:32,720 Speaker 1: not much, but it comes in stark contrast from two 94 00:05:32,800 --> 00:05:35,400 Speaker 1: thousand and eight, when Democrats held a twelve point lead 95 00:05:35,440 --> 00:05:38,320 Speaker 1: over Republicans. Remember that was the period of the Bush 96 00:05:38,360 --> 00:05:40,919 Speaker 1: had sunk, the economy in the Iraq War wasn't going well. 97 00:05:41,440 --> 00:05:46,080 Speaker 1: Pew has continued this polling throughout the entire last two decades, 98 00:05:46,160 --> 00:05:49,280 Speaker 1: and this is the best Republicans have ever had it 99 00:05:49,320 --> 00:05:52,480 Speaker 1: besides two twenty twenty four. Twenty twenty four was when 100 00:05:52,520 --> 00:05:54,320 Speaker 1: the Republicans for the first time ever took the lead 101 00:05:54,360 --> 00:05:57,400 Speaker 1: by a point, and they've maintained that lead by a point. 102 00:05:58,040 --> 00:06:01,800 Speaker 1: Comparing the number twenty twenty to twenty twenty five. Right, 103 00:06:01,800 --> 00:06:04,880 Speaker 1: comparing those that five year change, Republicans have made a 104 00:06:05,000 --> 00:06:10,040 Speaker 1: three point gain among men and now hold an overall 105 00:06:10,279 --> 00:06:14,800 Speaker 1: fourteen point lead. Democrats, however, have actually shrunk their lead 106 00:06:14,800 --> 00:06:16,919 Speaker 1: with women, and they have a ten point lead with 107 00:06:16,960 --> 00:06:19,920 Speaker 1: women according to the Pew Research Poll. But the most 108 00:06:19,960 --> 00:06:23,520 Speaker 1: interesting part was not necessarily sex or race. It was age, 109 00:06:23,760 --> 00:06:28,599 Speaker 1: specifically among eighteen to twenty nine year olds. Republicans have 110 00:06:28,720 --> 00:06:32,000 Speaker 1: seen their support among that demographic group over the last 111 00:06:32,040 --> 00:06:34,960 Speaker 1: five years increased by six points, while Democrats have seen 112 00:06:35,000 --> 00:06:38,520 Speaker 1: their support fall by six points. Democrats at one point 113 00:06:38,520 --> 00:06:41,720 Speaker 1: had an eighteen point lead among young voters I was 114 00:06:41,760 --> 00:06:45,200 Speaker 1: in twenty twenty. Their lead now is just six points, 115 00:06:45,200 --> 00:06:49,120 Speaker 1: and there's a sharp gender divide. Men between eighteen to 116 00:06:49,160 --> 00:06:53,320 Speaker 1: twenty nine support Republicans by eighteen points, while women between 117 00:06:53,360 --> 00:06:57,080 Speaker 1: eighteen and twenty nine support Democrat Democrats by twenty one points. 118 00:06:58,040 --> 00:07:00,800 Speaker 1: That is like what you see in places South Korea 119 00:07:00,880 --> 00:07:05,760 Speaker 1: where this youth divide by gender is so extreme and 120 00:07:05,800 --> 00:07:09,760 Speaker 1: it's actually pulling even further in the other direction. Go 121 00:07:09,840 --> 00:07:12,360 Speaker 1: back to twenty to twenty twenty four election, right when 122 00:07:12,360 --> 00:07:16,520 Speaker 1: we saw all these high profile, really incredible studies of 123 00:07:16,600 --> 00:07:19,040 Speaker 1: how young people cast their ballads. In the Trump versus 124 00:07:19,040 --> 00:07:24,400 Speaker 1: Harris election, voters under thirty supported Harris, but not by 125 00:07:24,520 --> 00:07:28,520 Speaker 1: anywhere near the numbers that previous Democrats had enjoyed. In 126 00:07:28,600 --> 00:07:33,040 Speaker 1: the Catalyst, there is a democrat analysis firm, they said, 127 00:07:33,080 --> 00:07:35,880 Speaker 1: Catalyst said that Harris had a ten point lead, Pew 128 00:07:36,000 --> 00:07:38,640 Speaker 1: Research said that she had a nineteen point lead, and 129 00:07:38,800 --> 00:07:42,600 Speaker 1: David Shore, the very smart progressive data analysts, said that 130 00:07:42,880 --> 00:07:47,200 Speaker 1: Trump's support among young white men under twenty two was 131 00:07:47,280 --> 00:07:50,360 Speaker 1: the strongest support he enjoyed from any demographic group, and 132 00:07:50,400 --> 00:07:53,880 Speaker 1: he won white women under twenty and he won non 133 00:07:53,920 --> 00:07:59,200 Speaker 1: white men under twenty. So this question is right, a 134 00:07:59,320 --> 00:08:03,400 Speaker 1: young people's stay Republican or was this just a protest 135 00:08:03,960 --> 00:08:08,559 Speaker 1: against Biden subsequently Harris? Because while this Pew Research number 136 00:08:08,680 --> 00:08:11,000 Speaker 1: is very strong for Republicans, and while the twenty twenty 137 00:08:11,040 --> 00:08:14,200 Speaker 1: four election was strong for Republicans, there are a number 138 00:08:14,200 --> 00:08:16,840 Speaker 1: of subsequent polls that have come out in recent weeks 139 00:08:16,880 --> 00:08:21,120 Speaker 1: showing Republican support among young people cratering. And you've may 140 00:08:21,200 --> 00:08:23,840 Speaker 1: seen this on social media or if you watch cable news, 141 00:08:23,840 --> 00:08:26,400 Speaker 1: they'll say, you know, X, Y and Z poll says 142 00:08:26,400 --> 00:08:28,480 Speaker 1: that Trump support among this part of the coalition, of 143 00:08:28,520 --> 00:08:31,680 Speaker 1: that part has collapsed. So what I did was I 144 00:08:31,720 --> 00:08:34,480 Speaker 1: aggregated all the polling numbers for you guys, right, I judged. 145 00:08:34,520 --> 00:08:38,160 Speaker 1: I looked at twelve recent public polls that made their 146 00:08:38,160 --> 00:08:41,679 Speaker 1: cross tabs available to look at how Trump's numbers were. 147 00:08:41,679 --> 00:08:44,520 Speaker 1: Were the voters under the age of thirty Among these 148 00:08:44,559 --> 00:08:47,599 Speaker 1: twelve polls, and they include polls like Atlas, Intel and 149 00:08:47,679 --> 00:08:50,280 Speaker 1: Quantus Insight, which nailed the twenty twenty four elections. Are 150 00:08:50,320 --> 00:08:53,240 Speaker 1: not all fake polls that always underperformed Trump. These are 151 00:08:53,280 --> 00:08:55,840 Speaker 1: some of the most accurate polsters in the last election 152 00:08:55,920 --> 00:08:58,200 Speaker 1: that said Trump was going to win. They found that 153 00:08:58,280 --> 00:09:01,839 Speaker 1: the overall average for voters under thirty so that Trump 154 00:09:01,840 --> 00:09:05,040 Speaker 1: had a thirty three percent approval rating and a sixty 155 00:09:05,080 --> 00:09:09,360 Speaker 1: one percent disapproval rating. That's that's a significant number. That 156 00:09:09,440 --> 00:09:13,280 Speaker 1: is a twenty eight point negative approval rating for Trump 157 00:09:13,320 --> 00:09:17,320 Speaker 1: among young voters. What is causing this trend is the 158 00:09:17,320 --> 00:09:19,560 Speaker 1: interesting question. No, Trump's numbers are down with every group, 159 00:09:19,720 --> 00:09:24,240 Speaker 1: as our most presidents when they're serving, right, Because when 160 00:09:24,280 --> 00:09:27,520 Speaker 1: you're campaigning, it's just all wonderful ideas. It's all I'm 161 00:09:27,520 --> 00:09:28,959 Speaker 1: going to promise you this, and I promise you that 162 00:09:28,960 --> 00:09:31,120 Speaker 1: I'm going to do this, and then reality sets in 163 00:09:31,160 --> 00:09:34,400 Speaker 1: and everyone's like, oh, you know, the president hasn't done 164 00:09:34,600 --> 00:09:36,680 Speaker 1: what I need at the speed I need them to 165 00:09:37,040 --> 00:09:41,120 Speaker 1: my liking with the media praising him, and America is 166 00:09:41,120 --> 00:09:43,120 Speaker 1: a very fickle country, and we want things very quickly, 167 00:09:43,160 --> 00:09:46,079 Speaker 1: and we want things how we like them, and all 168 00:09:46,160 --> 00:09:50,560 Speaker 1: that feeds into that. Right. Well, first, Trump's decline with 169 00:09:50,800 --> 00:09:55,000 Speaker 1: gen Z is only slightly larger than his decline overall 170 00:09:55,400 --> 00:09:58,680 Speaker 1: with a national average, right because once again, we're all fickle, 171 00:09:58,679 --> 00:10:01,080 Speaker 1: we all like things that we like them, and there 172 00:10:01,240 --> 00:10:06,920 Speaker 1: is declining among everybody. Now. Doesn't mean, though, that this 173 00:10:07,120 --> 00:10:11,199 Speaker 1: demographic that voted for Trump in record breaking numbers, especially 174 00:10:11,320 --> 00:10:15,800 Speaker 1: men under twenty, will they support Republicans in the next 175 00:10:16,120 --> 00:10:19,200 Speaker 1: November election in the midterms. There's not a lot of 176 00:10:19,240 --> 00:10:21,760 Speaker 1: polling on the midterm elections yet. I mean, we're really 177 00:10:21,800 --> 00:10:24,480 Speaker 1: early early, so I wouldn't expect it. But right now, 178 00:10:24,520 --> 00:10:28,360 Speaker 1: given what is out there. Republicans have a negative twenty 179 00:10:28,520 --> 00:10:31,360 Speaker 1: rating with the youngest voter demographic, which is better than 180 00:10:31,360 --> 00:10:33,960 Speaker 1: Trump overall, but not by much, but it is better 181 00:10:34,000 --> 00:10:39,040 Speaker 1: than Trump. So it would suggest that although they do 182 00:10:39,080 --> 00:10:42,960 Speaker 1: not like Trump, and I don't have the exact reasoning 183 00:10:43,000 --> 00:10:46,880 Speaker 1: for why they are disliking Trump, although it's probably you know, 184 00:10:46,920 --> 00:10:50,480 Speaker 1: that everything hasn't happened to their liking as immediately as 185 00:10:50,480 --> 00:10:52,840 Speaker 1: they do, or they you know, are inundated with negative 186 00:10:53,360 --> 00:10:56,439 Speaker 1: media or social media about him and that's effected their opinions. 187 00:10:56,880 --> 00:11:01,160 Speaker 1: It doesn't seem like they are running back home to Democrats, 188 00:11:01,200 --> 00:11:05,839 Speaker 1: and I was curious as to does that mean that 189 00:11:05,960 --> 00:11:09,480 Speaker 1: this is a permanent shift Emerson, which is a pretty 190 00:11:09,520 --> 00:11:11,760 Speaker 1: decent pole they've got. They've become much better polster than 191 00:11:11,800 --> 00:11:13,920 Speaker 1: they used to be able to say that. Emerson did 192 00:11:13,920 --> 00:11:17,440 Speaker 1: a hypothetical matchup of the twenty twenty eight election with 193 00:11:17,520 --> 00:11:21,560 Speaker 1: JD Vance versus Gavin Newsom, Pee Pudage and AOC. JD 194 00:11:21,760 --> 00:11:26,040 Speaker 1: beat all the candidates head to head, right with allan overall, 195 00:11:26,200 --> 00:11:29,240 Speaker 1: not just any specific demographic, but when you look at 196 00:11:29,440 --> 00:11:35,520 Speaker 1: young voters, JDA basically tied everyone except for AOC. AOC 197 00:11:35,679 --> 00:11:38,800 Speaker 1: ran away with it, And I wonder as you see 198 00:11:38,840 --> 00:11:43,840 Speaker 1: the Mandani campaign grow in New York, as you see 199 00:11:43,880 --> 00:11:47,200 Speaker 1: other young progressives really get active and take the mantle 200 00:11:47,200 --> 00:11:49,200 Speaker 1: from the Nancy Pelosis and take the mantle from the 201 00:11:49,400 --> 00:11:53,480 Speaker 1: Amala Harris's and the Joe Bidens, is that going to 202 00:11:53,480 --> 00:11:57,760 Speaker 1: be their answer to young people who feel disenfranchised right now, 203 00:11:57,840 --> 00:12:00,520 Speaker 1: or feel like Trump hasn't met their standards, or feel 204 00:12:00,600 --> 00:12:02,920 Speaker 1: like it's their job to be angry because social media 205 00:12:02,960 --> 00:12:06,520 Speaker 1: feeds them that an algorithm. I don't know. I think 206 00:12:06,559 --> 00:12:09,079 Speaker 1: that that's really what we have to wait and see. 207 00:12:09,120 --> 00:12:11,840 Speaker 1: I think their question is, is the Pew Research estimates 208 00:12:11,880 --> 00:12:15,040 Speaker 1: right where young men are you know, basically permanently left 209 00:12:15,080 --> 00:12:17,840 Speaker 1: the Democratic Party and they are the party of the 210 00:12:18,000 --> 00:12:22,160 Speaker 1: Republicans vote men under thirty, or you know, have the 211 00:12:22,200 --> 00:12:24,880 Speaker 1: polls of the last few weeks shown signs that young 212 00:12:24,920 --> 00:12:27,360 Speaker 1: people that twenty twenty four was a fluke and young 213 00:12:27,400 --> 00:12:30,440 Speaker 1: people are right back to the Democrats. That's the question 214 00:12:30,960 --> 00:12:34,160 Speaker 1: we're going to see going forward in this upcoming election 215 00:12:34,400 --> 00:12:36,960 Speaker 1: and the twenty twenty four election or twenty twenty eight 216 00:12:37,000 --> 00:12:39,679 Speaker 1: election as a whole. But that's really the question over 217 00:12:39,720 --> 00:12:42,800 Speaker 1: the next eighteen months. My guest this week is one 218 00:12:42,800 --> 00:12:44,760 Speaker 1: of those young people who have been a vocal supporter 219 00:12:44,920 --> 00:12:48,120 Speaker 1: President Trump and has used social media to organize for them. 220 00:12:48,480 --> 00:12:55,280 Speaker 1: His interview is coming up next, Say tuned. CJ. Pearson 221 00:12:55,360 --> 00:12:58,000 Speaker 1: is the co chair of the GP Youth Advisory Council. 222 00:12:58,040 --> 00:13:00,720 Speaker 1: At twenty two years old, he may Time Magazine's Top 223 00:13:00,760 --> 00:13:03,920 Speaker 1: one hundred creators, and his parties in Washington, d C. 224 00:13:04,160 --> 00:13:07,800 Speaker 1: Have become brand The inauguration became infamous when New York 225 00:13:07,840 --> 00:13:10,200 Speaker 1: Magazine entitled at the Cruel Kids Club. I know they 226 00:13:10,240 --> 00:13:12,640 Speaker 1: meant that as an insult, but it was iconic. CJ. 227 00:13:12,800 --> 00:13:14,040 Speaker 1: Thank you for being here. 228 00:13:14,240 --> 00:13:17,240 Speaker 2: Ryan, Thanks so much for Rabbitman. Good to see you, okay, CJ. 229 00:13:18,440 --> 00:13:21,600 Speaker 1: President Trump received a record breaking support among young voters 230 00:13:21,600 --> 00:13:25,240 Speaker 1: in twenty twenty four, especially among young men. What do 231 00:13:25,360 --> 00:13:27,240 Speaker 1: you contribute that to? 232 00:13:28,280 --> 00:13:31,160 Speaker 3: I think authenticity. I think the president, you know, was 233 00:13:31,280 --> 00:13:32,680 Speaker 3: very intentional about meeting young. 234 00:13:32,559 --> 00:13:33,520 Speaker 2: Voters where they were. 235 00:13:33,800 --> 00:13:35,959 Speaker 3: But also too he didn't try to change himself or 236 00:13:36,000 --> 00:13:38,120 Speaker 3: become a chameleon based on who he was talking to. 237 00:13:38,400 --> 00:13:40,360 Speaker 3: You know, every time Kamala Harris sat down with a 238 00:13:40,400 --> 00:13:42,480 Speaker 3: podcaster or a late night television show. 239 00:13:42,280 --> 00:13:44,320 Speaker 2: You didn't know if she was Jamaica and Mexican or 240 00:13:44,360 --> 00:13:44,960 Speaker 2: whatever else. 241 00:13:45,240 --> 00:13:48,160 Speaker 3: But when you know, when President Trump went on a podcast, 242 00:13:48,200 --> 00:13:51,040 Speaker 3: he talked about cocaine, He talked about his celebrity friends, 243 00:13:51,080 --> 00:13:53,360 Speaker 3: from growing up in the city of New York and 244 00:13:53,440 --> 00:13:57,400 Speaker 3: being a real estate titan. People ask me all the time, 245 00:13:57,440 --> 00:13:59,760 Speaker 3: you know, how did President Trump win the bro vote? 246 00:13:59,840 --> 00:14:02,280 Speaker 3: He won the bro vote by being a bro like 247 00:14:02,400 --> 00:14:03,920 Speaker 3: unapolished himself. 248 00:14:03,960 --> 00:14:06,160 Speaker 2: And I think the results speak for them. 249 00:14:06,720 --> 00:14:11,240 Speaker 1: Yeah. David Shore, who's a progressive data analysis data scientist, 250 00:14:11,400 --> 00:14:13,400 Speaker 1: I'm not sure if you've read his stuff, but he was. 251 00:14:13,480 --> 00:14:16,800 Speaker 1: His finding was that young white men under the age 252 00:14:16,840 --> 00:14:19,080 Speaker 1: of twenty two were the most Republican group in the 253 00:14:19,080 --> 00:14:21,840 Speaker 1: country for like I think the first time ever. How 254 00:14:21,880 --> 00:14:25,720 Speaker 1: did you or how did the GOP in a larger sense, 255 00:14:25,800 --> 00:14:29,120 Speaker 1: help effectively mobilize young people for that election? 256 00:14:29,840 --> 00:14:31,560 Speaker 3: You know, I think going into the election, we knew 257 00:14:31,560 --> 00:14:33,200 Speaker 3: that we were gonna have to turn out low propensity 258 00:14:33,280 --> 00:14:35,480 Speaker 3: voters if we're really going to get the president across 259 00:14:35,480 --> 00:14:38,000 Speaker 3: the finish line, right, And I think the podcast strategy, 260 00:14:38,080 --> 00:14:40,320 Speaker 3: which you know, hackxburg Switzers there's a lot of credit for, 261 00:14:41,000 --> 00:14:43,040 Speaker 3: was a critical piece of the puzzle in that right 262 00:14:43,040 --> 00:14:45,840 Speaker 3: because like these low preensit voters are not watching Fox News, 263 00:14:45,880 --> 00:14:48,720 Speaker 3: they're not watching CNN, but they are watching Theo Vonne, 264 00:14:48,720 --> 00:14:51,080 Speaker 3: they are watching Andrew Schultz, and they are you know, 265 00:14:51,560 --> 00:14:54,320 Speaker 3: watching Busting with the Boys on parstool. And so the 266 00:14:54,360 --> 00:14:56,840 Speaker 3: president going on these platforms and kind of taking his 267 00:14:56,920 --> 00:15:00,480 Speaker 3: message in a place where they oftentimes wouldn't expect to 268 00:15:00,480 --> 00:15:02,760 Speaker 3: hear them or wouldn't you know, want to hear them there, 269 00:15:03,320 --> 00:15:07,680 Speaker 3: but kind of making them was incredibly effective in that sense. 270 00:15:07,680 --> 00:15:10,240 Speaker 3: But also too, I think that the president's just use 271 00:15:10,320 --> 00:15:14,200 Speaker 3: an embrace of social media, like TikTok was was a 272 00:15:14,200 --> 00:15:14,800 Speaker 3: big part of it. 273 00:15:14,880 --> 00:15:16,760 Speaker 2: I know, I know TikTok gets a little bit of. 274 00:15:16,680 --> 00:15:19,280 Speaker 3: Controversial in our circles every now and again, but the 275 00:15:19,280 --> 00:15:21,960 Speaker 3: president you know, had a lot of tremendous success on there. 276 00:15:21,960 --> 00:15:24,120 Speaker 3: And I remember like in the early days of the campaign. 277 00:15:24,160 --> 00:15:26,520 Speaker 3: This was still during the primary, if you were to 278 00:15:26,760 --> 00:15:29,320 Speaker 3: I guess call it that. You know, we were talking 279 00:15:29,360 --> 00:15:31,120 Speaker 3: at the R and T. They're like, like, we need 280 00:15:31,120 --> 00:15:33,200 Speaker 3: to be on TikTok, and there was still this concern 281 00:15:33,280 --> 00:15:36,000 Speaker 3: about you know, getting on you know a platform, you know, 282 00:15:36,200 --> 00:15:38,720 Speaker 3: ties the China and all these things. But my argument 283 00:15:38,760 --> 00:15:41,400 Speaker 3: was simple, back then, and I think it remains true today. 284 00:15:41,520 --> 00:15:42,880 Speaker 2: Is that we can either see the. 285 00:15:42,920 --> 00:15:46,120 Speaker 3: Entire platform to the left, where an entire generation of 286 00:15:46,160 --> 00:15:49,160 Speaker 3: young Americans we be inundated with the leftist propaganda, or 287 00:15:49,160 --> 00:15:51,400 Speaker 3: we can go and play ball, and what we see 288 00:15:51,480 --> 00:15:53,560 Speaker 3: is when we go and play ball, we win the 289 00:15:53,560 --> 00:15:54,080 Speaker 3: ball game. 290 00:15:54,920 --> 00:15:57,040 Speaker 1: Right. I don't I knew I was all when I 291 00:15:57,040 --> 00:15:59,520 Speaker 1: didn't get I didn't go on TikTok. I just if 292 00:15:59,560 --> 00:16:02,040 Speaker 1: I was. If I would have told my family and 293 00:16:02,080 --> 00:16:03,800 Speaker 1: friends when I was twenty one, Hey, guys, we're going 294 00:16:03,840 --> 00:16:07,400 Speaker 1: to do synchronized dances together for strangers to watch, they 295 00:16:07,440 --> 00:16:09,720 Speaker 1: would have put me in an institution. But that's something 296 00:16:09,720 --> 00:16:11,480 Speaker 1: like I don't get the gen there's a generation divide 297 00:16:11,480 --> 00:16:14,200 Speaker 1: between there. So at the top of the show, I 298 00:16:14,240 --> 00:16:17,360 Speaker 1: was reading of two conflicting polling data, right. The first 299 00:16:17,520 --> 00:16:20,440 Speaker 1: was a Pew research finding that young men are overwhelmingly 300 00:16:20,520 --> 00:16:23,560 Speaker 1: more likely to identify as Republicans, and then a series 301 00:16:23,560 --> 00:16:26,360 Speaker 1: of recent poles that found President Trump's support among young 302 00:16:26,360 --> 00:16:29,520 Speaker 1: people has declined substantially even in polls that really nailed 303 00:16:29,520 --> 00:16:31,640 Speaker 1: the twenty twenty four election. And I'm going to guess 304 00:16:31,680 --> 00:16:34,600 Speaker 1: which one you probably think is more accurate. But do 305 00:16:34,680 --> 00:16:39,800 Speaker 1: you see that there is some kind of declining support 306 00:16:39,960 --> 00:16:46,800 Speaker 1: among people who maybe voted for Trump but aren't super partisan, 307 00:16:46,880 --> 00:16:49,240 Speaker 1: or these lobal pensity voters have kind of shied away 308 00:16:49,280 --> 00:16:51,760 Speaker 1: from him and a whole negative feelings, or maybe even 309 00:16:52,120 --> 00:16:56,200 Speaker 1: among some non diehard MAGA group. Is there a declining 310 00:16:57,000 --> 00:17:00,120 Speaker 1: support in any way that you can see? 311 00:17:00,280 --> 00:17:01,080 Speaker 2: Not that I can see. 312 00:17:01,120 --> 00:17:02,600 Speaker 3: And honestly, I'll got to tell you the only pole 313 00:17:02,640 --> 00:17:04,200 Speaker 3: that I really care about is the one that happens 314 00:17:04,200 --> 00:17:06,680 Speaker 3: on election day. But looking at you know, of course, 315 00:17:06,720 --> 00:17:09,080 Speaker 3: the president supporter young among young men, I think it's 316 00:17:09,119 --> 00:17:11,440 Speaker 3: clear as to why they came over to his side. 317 00:17:11,480 --> 00:17:11,640 Speaker 1: Right. 318 00:17:11,680 --> 00:17:14,360 Speaker 2: You know, the left has spent the last decade, if. 319 00:17:14,200 --> 00:17:17,240 Speaker 3: Not more, demonizing young men for simply being young men, 320 00:17:17,480 --> 00:17:20,080 Speaker 3: demonizing us for seeking to be providers, protectors and all 321 00:17:20,080 --> 00:17:22,199 Speaker 3: of those things. And I think that young men were 322 00:17:22,200 --> 00:17:23,639 Speaker 3: sick and tired of it, which is why they came 323 00:17:23,680 --> 00:17:26,000 Speaker 3: over to President's Trump's side. You know, I'm familiar with 324 00:17:26,040 --> 00:17:29,240 Speaker 3: the recent poll that came out, and honestly, I'm in 325 00:17:29,320 --> 00:17:32,080 Speaker 3: the camp that actually it's not because you know, young 326 00:17:32,119 --> 00:17:34,080 Speaker 3: men are going back to the left or or they're 327 00:17:34,160 --> 00:17:36,840 Speaker 3: drifting left board. It's honestly, probably because they're a lot 328 00:17:36,880 --> 00:17:39,800 Speaker 3: a little bit more right wing than we would maybe 329 00:17:39,840 --> 00:17:42,199 Speaker 3: like to believe here. And so I think there's you know, 330 00:17:42,240 --> 00:17:44,440 Speaker 3: definitely an eagerness for President trying to continue to deliver 331 00:17:44,560 --> 00:17:46,800 Speaker 3: on his America First agenda, which I think he's you know, 332 00:17:46,840 --> 00:17:49,000 Speaker 3: working aggressively to do every single day. 333 00:17:49,720 --> 00:17:50,760 Speaker 2: And I think that young. 334 00:17:50,640 --> 00:17:53,199 Speaker 3: Voters are smart enough to realize a lot of the 335 00:17:53,240 --> 00:17:55,280 Speaker 3: nonsense that the left has been spewing about him and 336 00:17:55,320 --> 00:17:57,720 Speaker 3: the corporate media has been spewing about him is inaccurate. 337 00:17:57,760 --> 00:17:59,680 Speaker 3: And I think when you know, it actually comes down 338 00:17:59,680 --> 00:18:01,840 Speaker 3: to it, you know, when the midterms, you know, come 339 00:18:02,520 --> 00:18:05,320 Speaker 3: to head, I think that they will follow their behavior 340 00:18:05,359 --> 00:18:07,120 Speaker 3: that we saw in the twenty point four election, which 341 00:18:07,119 --> 00:18:09,159 Speaker 3: is the resounding support for President's Trump's agenda. 342 00:18:09,520 --> 00:18:13,280 Speaker 1: Well, I think also we live in a very fickle 343 00:18:13,359 --> 00:18:16,199 Speaker 1: society where people kind of demand things changed in the 344 00:18:16,240 --> 00:18:19,560 Speaker 1: blink of an eye. So when things don't, you know, 345 00:18:19,720 --> 00:18:22,960 Speaker 1: change in minutes, people are like, well it failed. Then 346 00:18:23,440 --> 00:18:27,320 Speaker 1: how do you, as a content creator and somebody who 347 00:18:27,320 --> 00:18:30,760 Speaker 1: spends who knows a lot of content creators, especially, how 348 00:18:30,800 --> 00:18:33,600 Speaker 1: do you combat like the Harry Simpsons of the world 349 00:18:33,680 --> 00:18:36,760 Speaker 1: and left wing content creators who like sit there and 350 00:18:36,760 --> 00:18:39,399 Speaker 1: talk about Trump's maths, deportations like that and say, like 351 00:18:39,400 --> 00:18:41,960 Speaker 1: it's all negative. How do you sit there and counter 352 00:18:42,080 --> 00:18:43,000 Speaker 1: that argument. 353 00:18:43,600 --> 00:18:44,480 Speaker 2: Well, I think it's simple. 354 00:18:44,600 --> 00:18:46,680 Speaker 3: You know, this is exactly what voters voted for, right, 355 00:18:46,840 --> 00:18:49,560 Speaker 3: they portray these facts that this is just some random 356 00:18:49,600 --> 00:18:51,760 Speaker 3: thing that just started happening. President Trump ran on this, 357 00:18:51,880 --> 00:18:54,160 Speaker 3: He was unequivocal that this is exactly what he would 358 00:18:54,200 --> 00:18:56,199 Speaker 3: do if he was elected. The American people voted for him, 359 00:18:56,240 --> 00:18:58,240 Speaker 3: He won the popular bil, the electoral College vote with 360 00:18:58,359 --> 00:19:01,119 Speaker 3: full knowledge of that. So I think, you know, looking 361 00:19:01,160 --> 00:19:03,919 Speaker 3: at the Harry Systems of the world and other folks 362 00:19:04,080 --> 00:19:06,520 Speaker 3: like them, you know, they compare it all these DNC 363 00:19:06,720 --> 00:19:08,600 Speaker 3: talking points all they would like, But at the end 364 00:19:08,640 --> 00:19:11,040 Speaker 3: of the day, the president's approval rating when it comes 365 00:19:11,080 --> 00:19:13,720 Speaker 3: to his handling of immigration is pretty damn high. 366 00:19:14,000 --> 00:19:16,080 Speaker 2: And it's in large part because of the. 367 00:19:15,960 --> 00:19:19,919 Speaker 3: Fact voters waunt strong borders, they want secure borders. And 368 00:19:19,960 --> 00:19:23,000 Speaker 3: I think it's exactly why they've latched them this Ebstein issue, 369 00:19:23,080 --> 00:19:25,760 Speaker 3: because they realize that when the president is talking about immigration, 370 00:19:26,080 --> 00:19:29,439 Speaker 3: he's winning. When the president's talking about actual fairness in trade, 371 00:19:29,680 --> 00:19:32,440 Speaker 3: he's winning. And they have been you know, trying to 372 00:19:32,480 --> 00:19:35,280 Speaker 3: figure out what message will actually stick, and now they've 373 00:19:35,320 --> 00:19:37,879 Speaker 3: lashed onto this Epstein nonsense, which is interesting to me 374 00:19:37,920 --> 00:19:40,400 Speaker 3: because it's so odd to me that they didn't care about 375 00:19:40,400 --> 00:19:43,080 Speaker 3: protecting the innocence of children until it was a politically 376 00:19:43,119 --> 00:19:45,320 Speaker 3: expedient issue for them to do so, and they still 377 00:19:45,320 --> 00:19:47,280 Speaker 3: actually don't care about it because they're okay with transing 378 00:19:47,359 --> 00:19:51,000 Speaker 3: children and the mutilation of their general So honestly, it's 379 00:19:51,040 --> 00:19:52,879 Speaker 3: interesting to me that all of a sudden they're so 380 00:19:52,960 --> 00:19:56,440 Speaker 3: passionate about protecting America's children when they weren't when it 381 00:19:56,480 --> 00:19:58,320 Speaker 3: actually could have mattered, or when Bill Clinton was on 382 00:19:58,359 --> 00:19:59,800 Speaker 3: that plane and went to that island, I think what 383 00:20:00,000 --> 00:20:01,320 Speaker 3: twenty plus times. 384 00:20:01,560 --> 00:20:03,600 Speaker 1: Yeah. Well, the funny thing is is that, I mean, 385 00:20:04,160 --> 00:20:06,080 Speaker 1: so even though CJ is only twenty two, he's been 386 00:20:06,080 --> 00:20:08,600 Speaker 1: doing this. I thought you were way older because I 387 00:20:08,600 --> 00:20:10,080 Speaker 1: feel like I've seen you do this forever. 388 00:20:10,119 --> 00:20:13,159 Speaker 4: You got to get a better skin care routine than no, no, no, no, 389 00:20:13,240 --> 00:20:15,919 Speaker 4: not age wise, just because I I feel like I 390 00:20:15,960 --> 00:20:17,760 Speaker 4: met you a million years ago, but it was you 391 00:20:17,800 --> 00:20:19,919 Speaker 4: started when you were twelve, so it's been a really 392 00:20:20,000 --> 00:20:20,480 Speaker 4: long time. 393 00:20:20,760 --> 00:20:22,720 Speaker 1: But when you're even a little older, like I am. 394 00:20:22,760 --> 00:20:27,359 Speaker 1: I remember in like five o four Afghanistan being like 395 00:20:27,440 --> 00:20:29,919 Speaker 1: the titular issue and Democrats saying, just give us the 396 00:20:29,960 --> 00:20:33,000 Speaker 1: house and we'll get out of Afghanistan. Okay, they got 397 00:20:33,040 --> 00:20:36,959 Speaker 1: the house in Afghanistan. The withdrawal did not happen, you know, 398 00:20:37,040 --> 00:20:39,760 Speaker 1: in any time fashion. And I kind of think the 399 00:20:39,760 --> 00:20:41,679 Speaker 1: Epstein thing is the same thing is just give us 400 00:20:41,680 --> 00:20:43,520 Speaker 1: and we'll release the documents. And I don't think those 401 00:20:43,560 --> 00:20:46,280 Speaker 1: documents are ever coming to light in any but no 402 00:20:46,320 --> 00:20:49,720 Speaker 1: matter who's in charge. But that's just my opinion. What 403 00:20:49,880 --> 00:20:52,840 Speaker 1: was the what do you think was the thing? When 404 00:20:52,840 --> 00:20:56,040 Speaker 1: it comes to I think I think it's a surprising 405 00:20:56,119 --> 00:20:59,919 Speaker 1: thing going on with young men in the sense that 406 00:21:00,040 --> 00:21:04,240 Speaker 1: at the left message to them from what I see 407 00:21:04,359 --> 00:21:09,280 Speaker 1: from like young progressive influencers is it's your own fault 408 00:21:09,359 --> 00:21:13,719 Speaker 1: that you feel like you can't make it, and like 409 00:21:13,720 --> 00:21:15,880 Speaker 1: that that kid who smokes the anxiety pen or whatever 410 00:21:15,920 --> 00:21:17,960 Speaker 1: the case may be, that personal that a nervous breakdown 411 00:21:17,960 --> 00:21:24,240 Speaker 1: on Instagram or whatever. Yeah, but when I see some 412 00:21:24,359 --> 00:21:28,880 Speaker 1: like right wing or or conservative commentators on who are 413 00:21:29,240 --> 00:21:34,440 Speaker 1: young men, they are more right wing than what you 414 00:21:34,480 --> 00:21:36,760 Speaker 1: would have seen on like let's say, just Fox News, 415 00:21:36,800 --> 00:21:39,679 Speaker 1: like twenty years ago or ten years ago, what was 416 00:21:39,760 --> 00:21:45,399 Speaker 1: acceptable conversation about about policy A lot of people, and 417 00:21:45,480 --> 00:21:47,560 Speaker 1: I guess, I guess the mainstream media would say this 418 00:21:47,600 --> 00:21:49,760 Speaker 1: is a horrible thing, that they've been converted for this. 419 00:21:49,880 --> 00:21:56,240 Speaker 1: But haven't they just been pushed into this by quote 420 00:21:56,320 --> 00:22:01,200 Speaker 1: unquote acceptable opinion from mainstream outlets over the years, you 421 00:22:01,240 --> 00:22:01,920 Speaker 1: know what I'm saying. 422 00:22:02,320 --> 00:22:03,280 Speaker 2: Yeah, yeah, I would think so. 423 00:22:03,400 --> 00:22:05,439 Speaker 3: And I also think too, it's important to, you know, 424 00:22:05,480 --> 00:22:07,400 Speaker 3: read this against the backdrop of the fact that we're 425 00:22:07,520 --> 00:22:09,879 Speaker 3: the COVID generation. You know, I graduated high school in 426 00:22:09,880 --> 00:22:12,879 Speaker 3: twenty twenty, and my high school graduation robbed away from me. 427 00:22:13,040 --> 00:22:15,639 Speaker 3: I had my high school prom robbed away from me, 428 00:22:15,720 --> 00:22:18,040 Speaker 3: all of these things, and we saw the effects of 429 00:22:18,080 --> 00:22:21,359 Speaker 3: these these draconian progressive policies in real time in a 430 00:22:21,440 --> 00:22:23,320 Speaker 3: very visceral way. And I think that this is still 431 00:22:23,359 --> 00:22:25,800 Speaker 3: front of mine for a lot of young people in 432 00:22:25,840 --> 00:22:28,399 Speaker 3: my generation. And so I think that when you ask, 433 00:22:28,520 --> 00:22:30,920 Speaker 3: you know, why are they swinging so far to the right, 434 00:22:31,240 --> 00:22:33,560 Speaker 3: I think it is a direct result the fact that 435 00:22:33,560 --> 00:22:35,480 Speaker 3: we swung so far to the left, and the pendulum 436 00:22:35,560 --> 00:22:37,560 Speaker 3: is just going in the other direction right now. You know, 437 00:22:37,640 --> 00:22:40,280 Speaker 3: for a long time you know, leftist progressives. You know, 438 00:22:40,280 --> 00:22:42,480 Speaker 3: they could go on TV and you know, say deaf 439 00:22:42,560 --> 00:22:45,520 Speaker 3: to the white man. They could you know, demand reparations. 440 00:22:45,640 --> 00:22:49,040 Speaker 3: They could you know, justify furries and you know her 441 00:22:49,119 --> 00:22:52,520 Speaker 3: boxers and public schools and this was just common discourse, 442 00:22:52,640 --> 00:22:55,399 Speaker 3: like and they weren't you know, like CNN was putting 443 00:22:55,440 --> 00:22:57,199 Speaker 3: these people on TV and treating them as if like 444 00:22:57,200 --> 00:22:58,600 Speaker 3: this was legitimate point of view. 445 00:22:58,840 --> 00:23:01,480 Speaker 1: And so you know, don't you dare make a beeper 446 00:23:01,560 --> 00:23:03,239 Speaker 1: jug on site, right right, I don't ever do that. 447 00:23:03,440 --> 00:23:06,760 Speaker 3: But it's like things too, It's like I'm not surprised 448 00:23:06,800 --> 00:23:09,040 Speaker 3: to see the pendulum swing in the way in which 449 00:23:09,040 --> 00:23:11,520 Speaker 3: it has because for a long time, I think, you know, 450 00:23:11,640 --> 00:23:14,240 Speaker 3: young people, especially young men, they were told we're not 451 00:23:14,280 --> 00:23:16,879 Speaker 3: allowed to think these thoughts, we're not allowed to say 452 00:23:16,920 --> 00:23:18,959 Speaker 3: these things. And so now I think in a kind 453 00:23:19,000 --> 00:23:22,520 Speaker 3: of a post cancel culture environment where everyone's kind of 454 00:23:22,520 --> 00:23:25,399 Speaker 3: emboldened and people can say things they you know, usually 455 00:23:25,520 --> 00:23:28,120 Speaker 3: probably weren't allowed to say. And even things too it's 456 00:23:28,160 --> 00:23:29,879 Speaker 3: like you know, having you know, you said it, like 457 00:23:29,920 --> 00:23:32,399 Speaker 3: having been doing this since I was twelve, Like seeing 458 00:23:33,440 --> 00:23:36,800 Speaker 3: the what's acceptable discourse kind of change, you know, things 459 00:23:36,840 --> 00:23:39,879 Speaker 3: that would have gotten you absolutely like banned from Fox News, 460 00:23:40,720 --> 00:23:43,000 Speaker 3: you know, many years ago. You know, now people are 461 00:23:43,040 --> 00:23:45,280 Speaker 3: just you know, up and at it. So I think 462 00:23:45,280 --> 00:23:47,200 Speaker 3: it's in large part because the fact the left for 463 00:23:47,240 --> 00:23:51,000 Speaker 3: a long time treated young conservatives, especially young men, as 464 00:23:51,040 --> 00:23:54,159 Speaker 3: like an underclass, and we're just kind of over it 465 00:23:54,160 --> 00:23:58,280 Speaker 3: and we're like, no, like fuck these people. What. 466 00:23:58,600 --> 00:24:01,919 Speaker 1: Well, there goes the explicit on the disclaimer on the 467 00:24:01,960 --> 00:24:06,840 Speaker 1: podcast episode. What it's never me cursing. It's always my guess. 468 00:24:06,920 --> 00:24:11,160 Speaker 3: By the way, you're such a great network of folks, I. 469 00:24:11,160 --> 00:24:15,920 Speaker 1: Know, well, I mean the Okay, So just then two 470 00:24:16,000 --> 00:24:19,120 Speaker 1: questions that linger in my mind. So let's say that 471 00:24:19,480 --> 00:24:22,680 Speaker 1: you know, Trump's numbers when young people drop, because they drop. 472 00:24:22,800 --> 00:24:25,560 Speaker 1: Every incumbent presence numbers drop because they have to actually 473 00:24:25,560 --> 00:24:27,760 Speaker 1: do things and people are upset with you know, the 474 00:24:27,920 --> 00:24:31,280 Speaker 1: speed and which things get done and whatnot. But does 475 00:24:31,400 --> 00:24:34,720 Speaker 1: this support for Trump that he experiences record level support, 476 00:24:34,720 --> 00:24:38,960 Speaker 1: does it transfer over to the Republican Party in large you. 477 00:24:38,880 --> 00:24:40,160 Speaker 2: Know, I think that remains to be seen. 478 00:24:40,280 --> 00:24:42,600 Speaker 3: I think you know, jd as like kind of the 479 00:24:42,640 --> 00:24:45,359 Speaker 3: air Apparent, is really good at doing a lot of 480 00:24:45,359 --> 00:24:47,359 Speaker 3: what the president did during the campaign, right, you know, 481 00:24:47,440 --> 00:24:49,840 Speaker 3: sitting down with you know, the Theovonnes of the world, 482 00:24:49,880 --> 00:24:51,879 Speaker 3: the Joe Rogan's of the world, and making a strong 483 00:24:51,960 --> 00:24:55,840 Speaker 3: case for I think the future of the movement. Does 484 00:24:55,880 --> 00:24:59,560 Speaker 3: it translate to folks down ballot, I don't know. You know, 485 00:24:59,560 --> 00:25:00,840 Speaker 3: it's one of the those things where I think the 486 00:25:00,880 --> 00:25:03,399 Speaker 3: President's gonna have to go out and actually do these rallies. 487 00:25:03,440 --> 00:25:06,119 Speaker 3: And thankfully, you know, he's a high energy guy, and 488 00:25:06,240 --> 00:25:07,840 Speaker 3: I think he wants to do it. He wants to 489 00:25:07,840 --> 00:25:09,560 Speaker 3: go to Georgia, he wants to go to North Carolina, 490 00:25:09,600 --> 00:25:10,800 Speaker 3: he wants to go to a lot of these target 491 00:25:10,840 --> 00:25:13,800 Speaker 3: seats and districts. So I think they'll have, you know, 492 00:25:14,160 --> 00:25:16,520 Speaker 3: that going for them. But I think Republics are gonna 493 00:25:16,520 --> 00:25:18,359 Speaker 3: have to really frame to these local pensity voters. And 494 00:25:18,400 --> 00:25:20,080 Speaker 3: this is a problem that we've seen, right It's like 495 00:25:20,080 --> 00:25:22,959 Speaker 3: when Trump isn't not on the ballot, people just simply 496 00:25:22,960 --> 00:25:24,840 Speaker 3: stay home. And so I think that what we have 497 00:25:24,920 --> 00:25:27,560 Speaker 3: to really do is frame the urgency of this and 498 00:25:27,600 --> 00:25:29,280 Speaker 3: why it's going to be so important for us to 499 00:25:29,480 --> 00:25:31,919 Speaker 3: expand our majority in the Senate hold on to the 500 00:25:31,960 --> 00:25:34,600 Speaker 3: House as much as we can, because we're seeing it 501 00:25:34,680 --> 00:25:37,080 Speaker 3: right now, every single you know, it's so crazy. It's 502 00:25:37,080 --> 00:25:40,160 Speaker 3: like Mike Johnson slept on person in Washington. Every single 503 00:25:40,200 --> 00:25:42,439 Speaker 3: time a big bill comes up, Everyone's like, how is 504 00:25:42,440 --> 00:25:43,680 Speaker 3: he going to do it? How is he going to 505 00:25:43,760 --> 00:25:45,800 Speaker 3: do it? And I'm sure that Mike Johnson is stressed 506 00:25:45,800 --> 00:25:47,159 Speaker 3: out trying to figure out how is he going to 507 00:25:47,240 --> 00:25:48,720 Speaker 3: do it? So let's give him a majority that he 508 00:25:48,760 --> 00:25:50,919 Speaker 3: can actually work with where you don't have you know, 509 00:25:50,960 --> 00:25:53,480 Speaker 3: a few errant members, you know, who can hold the 510 00:25:53,640 --> 00:25:56,320 Speaker 3: entire coccus hostage, right, And so I think we've got 511 00:25:56,320 --> 00:25:57,560 Speaker 3: to frame that urgency. 512 00:25:58,560 --> 00:26:00,320 Speaker 2: How do you do that for young voters. You don't 513 00:26:00,320 --> 00:26:02,760 Speaker 2: really know about why. 514 00:26:02,600 --> 00:26:04,960 Speaker 3: These majorities are so important or why it's important for 515 00:26:05,040 --> 00:26:06,640 Speaker 3: us to have a ten c majority of rather than 516 00:26:06,640 --> 00:26:07,720 Speaker 3: a four seat. 517 00:26:08,480 --> 00:26:09,000 Speaker 2: I don't know. 518 00:26:09,080 --> 00:26:12,000 Speaker 3: There are smarter people who can answer that question. It's 519 00:26:12,000 --> 00:26:13,480 Speaker 3: definitely gonna be I think that's the off end of 520 00:26:13,480 --> 00:26:15,880 Speaker 3: the room. How do you make this as urgent as 521 00:26:15,920 --> 00:26:18,000 Speaker 3: the twenty twenty four election was, And that's going to 522 00:26:18,040 --> 00:26:18,880 Speaker 3: be the challenge. 523 00:26:19,119 --> 00:26:22,760 Speaker 1: Yeah, I think that trying to get low propensity voters 524 00:26:22,760 --> 00:26:26,480 Speaker 1: out in the midterms is I mean, that's really the 525 00:26:26,480 --> 00:26:29,159 Speaker 1: whole kid in Kapotle because what people often sit there 526 00:26:29,160 --> 00:26:31,280 Speaker 1: and ask about is like, how did seniors become so 527 00:26:31,440 --> 00:26:33,520 Speaker 1: left wing? And I said, it's not that they became 528 00:26:33,600 --> 00:26:35,080 Speaker 1: so left wing, it is that the people that you 529 00:26:35,160 --> 00:26:38,120 Speaker 1: think of as seniors are probably no longer with us, 530 00:26:38,600 --> 00:26:43,200 Speaker 1: and the people who are seniors were, you know they were. 531 00:26:44,160 --> 00:26:46,399 Speaker 1: It was a very old reference when it say to you, 532 00:26:46,440 --> 00:26:48,160 Speaker 1: which you probably might even know. But if you watch 533 00:26:48,240 --> 00:26:50,360 Speaker 1: like all in the family, Archie Bunker in real life 534 00:26:50,359 --> 00:26:53,280 Speaker 1: has passed away and his like liberal hippie children are 535 00:26:53,400 --> 00:26:56,639 Speaker 1: senior citizens now. So like the conservative ones that you 536 00:26:56,680 --> 00:26:58,600 Speaker 1: think of from like thirty years ago will probably no 537 00:26:58,640 --> 00:27:00,480 Speaker 1: longer with us or if they are there or home. 538 00:27:00,520 --> 00:27:03,760 Speaker 1: And the you know, former hip children of the former 539 00:27:03,880 --> 00:27:07,919 Speaker 1: hippie generation is senior citizens now. So that's I think 540 00:27:07,960 --> 00:27:10,439 Speaker 1: the big confrontation. And if you're relying on eighteen to 541 00:27:10,440 --> 00:27:13,560 Speaker 1: twenty two year olds, I think that's the biggest thing. 542 00:27:13,600 --> 00:27:16,000 Speaker 1: If you are a young person today and you want 543 00:27:16,119 --> 00:27:19,320 Speaker 1: to be active and not make this your whole career, 544 00:27:19,359 --> 00:27:23,359 Speaker 1: but voice your opinion and support them, what should you 545 00:27:23,440 --> 00:27:24,960 Speaker 1: be doing as someone who's done this for salt. 546 00:27:25,680 --> 00:27:27,480 Speaker 2: Yeah, I didn't get involved in a campaign, you know. 547 00:27:27,520 --> 00:27:29,160 Speaker 2: That's how I got my start. When I was twelve 548 00:27:29,200 --> 00:27:29,640 Speaker 2: years old. 549 00:27:29,640 --> 00:27:33,480 Speaker 3: I showed up to the campaign office of now Congressman 550 00:27:33,560 --> 00:27:35,560 Speaker 3: Rick Allen, and I just started knocking on doors and 551 00:27:35,560 --> 00:27:37,960 Speaker 3: making phone calls. And I learned a lot from that campaign, 552 00:27:38,560 --> 00:27:40,520 Speaker 3: and I think it's kind of helped me as a commentator, 553 00:27:40,560 --> 00:27:42,000 Speaker 3: right because I think there are a lot of influencers 554 00:27:42,000 --> 00:27:44,639 Speaker 3: in the space. You don't necessarily understand politics, right, but 555 00:27:44,680 --> 00:27:47,359 Speaker 3: they understand ideology. They understand that they love MAGA and 556 00:27:47,359 --> 00:27:49,880 Speaker 3: they love America First policies. But in terms of like 557 00:27:50,040 --> 00:27:54,000 Speaker 3: the actual mechanics of making these things happen, it may 558 00:27:54,000 --> 00:27:56,080 Speaker 3: not be like they their strong suit. And it goes 559 00:27:56,119 --> 00:27:57,680 Speaker 3: back to the point that you were making earlier. It's 560 00:27:57,720 --> 00:28:00,199 Speaker 3: like a lot of people get dissatisfied with things not 561 00:28:00,320 --> 00:28:01,720 Speaker 3: moving at the speed of light. 562 00:28:01,880 --> 00:28:03,080 Speaker 2: But I think anyone who kind of. 563 00:28:03,080 --> 00:28:05,480 Speaker 3: Has, you know, worked in these spaces and kind of 564 00:28:05,520 --> 00:28:09,120 Speaker 3: understands the way Washington works, it's nothing is really meant 565 00:28:09,160 --> 00:28:11,560 Speaker 3: to move at the speed of flight in this town, unfortunately, 566 00:28:12,119 --> 00:28:13,360 Speaker 3: unless it's a bad idea. 567 00:28:13,440 --> 00:28:15,720 Speaker 2: And so when it comes to you know. 568 00:28:15,640 --> 00:28:17,840 Speaker 3: Getting involved in all those things, I would say starting 569 00:28:17,880 --> 00:28:19,600 Speaker 3: a campaign, it's going to change your life and meet 570 00:28:19,640 --> 00:28:22,280 Speaker 3: so many cool people. There's nothing like that grind, but 571 00:28:22,320 --> 00:28:24,160 Speaker 3: also too, it's kind of been easier to kind of. 572 00:28:24,040 --> 00:28:25,280 Speaker 2: Be an influencer. You know. 573 00:28:25,640 --> 00:28:27,400 Speaker 3: It's one of those things where it's like I saw 574 00:28:27,400 --> 00:28:29,560 Speaker 3: a recent study where it was like the number one 575 00:28:29,640 --> 00:28:32,720 Speaker 3: job for like Jen Alfa is to be an influencer. 576 00:28:32,840 --> 00:28:35,360 Speaker 2: And I think, which is interesting for. 577 00:28:35,320 --> 00:28:37,440 Speaker 3: A lot of reasons, but I think, you know, go 578 00:28:37,480 --> 00:28:40,320 Speaker 3: on TikTok, start talking about these issues, you know, and 579 00:28:40,160 --> 00:28:42,560 Speaker 3: and dig deep and kind of just be a truth teller. 580 00:28:42,800 --> 00:28:44,800 Speaker 2: You know, the only way that we're going to beat 581 00:28:44,880 --> 00:28:45,640 Speaker 2: back the bad. 582 00:28:45,480 --> 00:28:48,600 Speaker 3: Ideas, the Harry Sissons and the Parkers and the Reads 583 00:28:48,640 --> 00:28:51,360 Speaker 3: and all those people is if we put our ideas 584 00:28:51,360 --> 00:28:53,520 Speaker 3: out there and we flood the zone with our better 585 00:28:53,600 --> 00:28:55,160 Speaker 3: ideas and our better policies. 586 00:28:55,200 --> 00:28:57,280 Speaker 2: And so that's what I would recommend. 587 00:28:57,360 --> 00:28:59,160 Speaker 3: And what I would also say too is like, have 588 00:28:59,320 --> 00:29:02,560 Speaker 3: the courage to stand up for yourself in your college classrooms. 589 00:29:02,600 --> 00:29:04,520 Speaker 3: I get messages all the time from college kids who 590 00:29:04,560 --> 00:29:06,920 Speaker 3: are like, you know, my liberal professor is so crazy. 591 00:29:07,000 --> 00:29:09,160 Speaker 3: I just like always want a challenger, but I feel bad, 592 00:29:09,200 --> 00:29:10,720 Speaker 3: like I don't I think she's gonna come for me 593 00:29:10,800 --> 00:29:13,120 Speaker 3: or whatever. You know, Courage is contagious, you know, when 594 00:29:13,120 --> 00:29:14,920 Speaker 3: I was at the University of Alabama. You would never 595 00:29:14,960 --> 00:29:16,560 Speaker 3: think that there would be a liberal professor there, but 596 00:29:16,600 --> 00:29:18,720 Speaker 3: there were. And I would raise my hand and I 597 00:29:18,720 --> 00:29:20,840 Speaker 3: would push back if she said something that was, you know, 598 00:29:20,960 --> 00:29:24,560 Speaker 3: anti Trump, just fligerantly incorrect. And after class, people will 599 00:29:24,600 --> 00:29:25,920 Speaker 3: walk up to me and say CJ. Like, I was 600 00:29:25,920 --> 00:29:28,320 Speaker 3: thinking that, but I just didn't have the courage to 601 00:29:28,360 --> 00:29:30,240 Speaker 3: say it. But maybe they'll say it next time. And 602 00:29:30,280 --> 00:29:33,520 Speaker 3: so I think, be bold, stand on business and use 603 00:29:33,560 --> 00:29:37,080 Speaker 3: the tools that you have to platform your voice and 604 00:29:37,160 --> 00:29:38,840 Speaker 3: amplify the passions that. 605 00:29:38,800 --> 00:29:39,320 Speaker 2: You care about. 606 00:29:39,600 --> 00:29:41,560 Speaker 1: Yeah, that's happened to me in college all the time. 607 00:29:41,600 --> 00:29:43,480 Speaker 1: I was the only one. That's probably why I didn't 608 00:29:43,480 --> 00:29:48,440 Speaker 1: finish college. So yeah, it's probably not the best advice 609 00:29:48,440 --> 00:29:50,680 Speaker 1: if you want to finish college. I also want to 610 00:29:50,680 --> 00:29:53,000 Speaker 1: say what CJ said, there was not many influencers who 611 00:29:53,000 --> 00:29:56,640 Speaker 1: know the mechanics of campaigns. There are almost no influencers 612 00:29:56,640 --> 00:29:58,600 Speaker 1: and know the mechanics and campaigns, and not just a few. 613 00:29:58,680 --> 00:30:01,360 Speaker 1: I could probably name the ones that do on one hands, 614 00:30:01,360 --> 00:30:03,760 Speaker 1: and there's not many. Do you ever notice, like the 615 00:30:03,800 --> 00:30:06,000 Speaker 1: Harry Simpson's and all those people all have the same haircut. 616 00:30:06,040 --> 00:30:07,480 Speaker 1: By the way, I'm just thought of that while you 617 00:30:07,520 --> 00:30:09,080 Speaker 1: were talking about it. There's like one hand. 618 00:30:08,960 --> 00:30:10,160 Speaker 2: Probably it's probably pull test. 619 00:30:10,200 --> 00:30:13,360 Speaker 3: And I'm sure this process did a nice poll on 620 00:30:13,600 --> 00:30:15,640 Speaker 3: you know, what's the doucheiest haircut that we can do 621 00:30:15,760 --> 00:30:19,720 Speaker 3: that will loureen young women who love men with testosterone 622 00:30:19,720 --> 00:30:23,120 Speaker 3: deficiency and still, you know, help us somehow appeal to 623 00:30:23,160 --> 00:30:23,560 Speaker 3: the brovo. 624 00:30:23,720 --> 00:30:27,520 Speaker 1: Yes, well, okay, CJ. Where could people go to follow 625 00:30:27,560 --> 00:30:29,680 Speaker 1: all your stuff and you know, keep in touch with 626 00:30:29,720 --> 00:30:31,560 Speaker 1: you and and read what you're doing. 627 00:30:31,920 --> 00:30:33,680 Speaker 2: Yeah, definitely. Well, thank you so much for having Ryan. 628 00:30:33,680 --> 00:30:35,360 Speaker 2: It's always a fun time. They can keep up with 629 00:30:35,440 --> 00:30:37,480 Speaker 2: me on all the platforms. My user name is the 630 00:30:37,600 --> 00:30:40,040 Speaker 2: CJ Pearson and I'll see them there all right. 631 00:30:40,080 --> 00:30:41,520 Speaker 1: Thank you for being on this podcast. 632 00:30:41,720 --> 00:30:42,400 Speaker 2: Thanks for having me. 633 00:30:42,520 --> 00:30:45,120 Speaker 1: You're listening to It's a Numbers Game with Ryan Gradsky. 634 00:30:45,200 --> 00:30:50,400 Speaker 1: We'll be right back now. It's time for the Ask 635 00:30:50,520 --> 00:30:52,760 Speaker 1: Me Anything segment of this podcast. If you want a 636 00:30:52,880 --> 00:30:54,960 Speaker 1: part of the Ask Me Anything segment, please email me 637 00:30:55,040 --> 00:30:58,560 Speaker 1: Ryan at Numbers Game podcast dot com. That's ryanat Numbers 638 00:30:58,640 --> 00:31:01,280 Speaker 1: gamepodcast dot com. I love your emails. I read them 639 00:31:01,280 --> 00:31:03,840 Speaker 1: all and I try to respond to them either privately 640 00:31:03,920 --> 00:31:06,440 Speaker 1: or on the show. So Our first question comes from 641 00:31:06,560 --> 00:31:09,560 Speaker 1: Jonathan Payne. He is right. He writes a very long emails. 642 00:31:09,560 --> 00:31:12,920 Speaker 1: I want to summarize it. He talks about Oregon, that 643 00:31:13,280 --> 00:31:15,360 Speaker 1: it's a pretty red state outside the city of Portland, 644 00:31:15,400 --> 00:31:17,760 Speaker 1: and how Portland keeps the entire city voting Democrat, and 645 00:31:17,760 --> 00:31:19,480 Speaker 1: he wants to know if there's any chance that Oregon 646 00:31:19,520 --> 00:31:23,120 Speaker 1: will be voting Republican in the near future. Jonathan, great question, 647 00:31:23,320 --> 00:31:25,280 Speaker 1: And it wasn't that long ago that Oregon was a 648 00:31:25,320 --> 00:31:28,479 Speaker 1: swing state. In two thousand, George Bush lost Oregon by 649 00:31:28,520 --> 00:31:32,080 Speaker 1: zero point four percent, basically the margin Pap Bukenan took 650 00:31:32,080 --> 00:31:34,440 Speaker 1: for him the Reform Party, and in two thousand and 651 00:31:34,560 --> 00:31:37,680 Speaker 1: four he only lost by four points. Since then, however, 652 00:31:37,800 --> 00:31:40,320 Speaker 1: it's taken a sharp term to the left. There was 653 00:31:40,360 --> 00:31:42,680 Speaker 1: I think the best it was the best performing candidate 654 00:31:43,320 --> 00:31:46,720 Speaker 1: since George Bush was Mitt Romney's forty two percent. That's 655 00:31:46,760 --> 00:31:51,080 Speaker 1: a pretty paltry number. Oregon is elected just two Republicans 656 00:31:51,080 --> 00:31:55,160 Speaker 1: statewide since the year two thousand. They also managed at 657 00:31:55,160 --> 00:31:57,280 Speaker 1: one point to win the state House back for two years. 658 00:31:57,280 --> 00:32:01,840 Speaker 1: But aside from that, it's been pretty pointing results for Republicans. 659 00:32:02,280 --> 00:32:05,160 Speaker 1: And when you look at the data of how voters 660 00:32:05,160 --> 00:32:10,280 Speaker 1: have registered in the state. It's even worse. Since twenty sixteen, 661 00:32:10,360 --> 00:32:14,360 Speaker 1: Oregon lost has lost one hundred and thirty thousand registered 662 00:32:14,400 --> 00:32:19,200 Speaker 1: Republicans while gaining eleven thousand Democrats. And it's not just Portland, 663 00:32:19,320 --> 00:32:22,080 Speaker 1: because they bank a million voters from or a lot 664 00:32:22,080 --> 00:32:24,200 Speaker 1: of voters Reportland. I shouldn't say an exact number. They 665 00:32:24,200 --> 00:32:26,320 Speaker 1: bank a lot of voters from Portland, but they also 666 00:32:26,320 --> 00:32:28,560 Speaker 1: get a lot of voters out of Eugene and Bend 667 00:32:28,600 --> 00:32:32,280 Speaker 1: and Salem, and as I said my last podcast episode, 668 00:32:32,400 --> 00:32:34,720 Speaker 1: Democrats have jerry Mander the heck out of that state. 669 00:32:34,840 --> 00:32:37,360 Speaker 1: So even though it's got a lot bluer, if they 670 00:32:37,440 --> 00:32:41,720 Speaker 1: had fair districts, Republicans would have two congressional seats, which 671 00:32:41,760 --> 00:32:46,320 Speaker 1: they don't. They only have one. But there's no signs 672 00:32:46,320 --> 00:32:48,400 Speaker 1: on the horizon that we're going to see a red 673 00:32:48,440 --> 00:32:52,120 Speaker 1: port Oregon anytime soon, regardless of even what Portland does. 674 00:32:52,160 --> 00:32:56,000 Speaker 1: I mean, maybe if everyone there writes in Bernie Sanders name, 675 00:32:56,040 --> 00:32:58,920 Speaker 1: it would be interesting, but it's it's pretty blue and 676 00:32:58,960 --> 00:33:02,400 Speaker 1: it's only gotten bluer. Next question comes from Wesley Russ. 677 00:33:02,680 --> 00:33:06,000 Speaker 1: He also has kind of a long question, so essentially okay, 678 00:33:06,040 --> 00:33:10,160 Speaker 1: so he's asked basically, why pulling on mass deportation has changed? 679 00:33:10,200 --> 00:33:12,240 Speaker 1: Is it because polsters have changed the way they frame 680 00:33:12,280 --> 00:33:15,920 Speaker 1: the question? Great, wonderful question, Wesley, because we do know 681 00:33:15,960 --> 00:33:19,480 Speaker 1: the way that polsters ask questions often affect the outcome 682 00:33:19,520 --> 00:33:23,280 Speaker 1: of those answers. There are two answers behind this, first 683 00:33:23,560 --> 00:33:27,120 Speaker 1: being that the conditions have changed in America. Biden allowing 684 00:33:27,280 --> 00:33:31,000 Speaker 1: millions of people into our country illegally changed the feelings 685 00:33:31,000 --> 00:33:35,880 Speaker 1: of Americans, and it increased people's uncomfortableness with demographic changes. 686 00:33:38,120 --> 00:33:41,800 Speaker 1: But because we're conditioned to be like such a supportive 687 00:33:41,840 --> 00:33:45,680 Speaker 1: of legal immigration that you can't criticize, they've kind of 688 00:33:45,760 --> 00:33:50,040 Speaker 1: even Republicans, especially Republicans, have really pushed us on illegal immigrations, 689 00:33:50,080 --> 00:33:53,280 Speaker 1: all illegal immigration. You know they do the Ted Cruz 690 00:33:53,320 --> 00:33:58,400 Speaker 1: mean illegal good, illegal bad, legal good. But even before this, 691 00:33:58,920 --> 00:34:01,720 Speaker 1: you know, even before for this, before twenty twenty, you 692 00:34:01,840 --> 00:34:05,560 Speaker 1: saw a lot of polls where Americans supported mass deportation, 693 00:34:05,960 --> 00:34:09,600 Speaker 1: even though the candidates running our country did not. A 694 00:34:09,600 --> 00:34:12,480 Speaker 1: twenty eleven poll from Gallup found that fifty three percent 695 00:34:12,480 --> 00:34:16,000 Speaker 1: of Americans supported deporting all illegal immigrants, including seventy percent 696 00:34:16,000 --> 00:34:19,680 Speaker 1: of Republicans. A Reuter's ipsis poll from twenty seventeen found 697 00:34:19,680 --> 00:34:23,279 Speaker 1: a fifty one percent of American supported deporting all or 698 00:34:23,600 --> 00:34:29,560 Speaker 1: some or most illegal immigrants. And this change against mass 699 00:34:29,560 --> 00:34:33,800 Speaker 1: deportation really went into high gear when two things happened. 700 00:34:33,800 --> 00:34:36,959 Speaker 1: One the racial reckoning of twenty fourteen, where Democrats became 701 00:34:37,040 --> 00:34:40,720 Speaker 1: woke on race, and secondly, when Trump went into office, 702 00:34:40,760 --> 00:34:44,880 Speaker 1: and Trump's main issue being a deportation in a border 703 00:34:44,920 --> 00:34:49,000 Speaker 1: wall meant to be for those subjects, you must be 704 00:34:49,040 --> 00:34:52,680 Speaker 1: for Trump, So you had to be against them in 705 00:34:52,760 --> 00:34:56,600 Speaker 1: order to be against Trump, which really made those subject 706 00:34:56,640 --> 00:34:59,759 Speaker 1: matters decline substantially. And that's true of the issue of 707 00:34:59,760 --> 00:35:02,399 Speaker 1: the wall funding as well or supporting a border wall. 708 00:35:02,680 --> 00:35:06,560 Speaker 1: A Washington postpot in twenty thirteen found that fifty three 709 00:35:06,600 --> 00:35:11,000 Speaker 1: percent of Americans favored building a seven hundred mile long fence. 710 00:35:11,040 --> 00:35:13,040 Speaker 1: They used durn fence instead of wall, but a seven 711 00:35:13,120 --> 00:35:16,440 Speaker 1: hundred mile long fence across the southern border, including a 712 00:35:16,480 --> 00:35:19,960 Speaker 1: majority of Democrats, supported it. When the price tag was 713 00:35:20,360 --> 00:35:23,360 Speaker 1: revealed to be forty six billion dollars, a majority of 714 00:35:23,360 --> 00:35:29,279 Speaker 1: Americans still supported it, including a plurality of Democrats, and 715 00:35:29,360 --> 00:35:32,600 Speaker 1: that only changed because Trump supported it. Because that's what 716 00:35:32,760 --> 00:35:36,319 Speaker 1: happens in politics is that you live. We live from 717 00:35:36,400 --> 00:35:38,880 Speaker 1: knee jerk reaction to knee jerk reaction. We have to 718 00:35:38,960 --> 00:35:43,640 Speaker 1: have basically this partisan ship. Partisan ship has gives you 719 00:35:43,800 --> 00:35:47,759 Speaker 1: provides like an immense sense of brain fog where you 720 00:35:48,360 --> 00:35:51,040 Speaker 1: feel the need to oppose or support something based upon 721 00:35:51,680 --> 00:35:55,320 Speaker 1: you're getting signals from your elected officials or the candidate 722 00:35:55,400 --> 00:35:57,120 Speaker 1: you like the most, or the leader of your party. 723 00:35:58,080 --> 00:36:00,560 Speaker 1: So when Trump became synonymous with a border wall, guess what. 724 00:36:00,640 --> 00:36:02,640 Speaker 1: Democrats hated the idea of a border wall, even though 725 00:36:02,640 --> 00:36:05,719 Speaker 1: they supported a forty six billion dollar border wall just 726 00:36:05,880 --> 00:36:10,320 Speaker 1: three years prior. Anyway, that's a wrap though for the answer. 727 00:36:10,480 --> 00:36:13,160 Speaker 1: I hope that it was I hope that it was good. 728 00:36:13,239 --> 00:36:15,759 Speaker 1: I hope that you enjoyed this podcast. Please like and 729 00:36:15,800 --> 00:36:19,480 Speaker 1: subscribe if you are listening on the iHeartRadio app, Apple Podcasts, 730 00:36:19,480 --> 00:36:21,320 Speaker 1: wherever you get your podcast, and if you're feeling generous, 731 00:36:21,400 --> 00:36:23,680 Speaker 1: please give me a five star review. It really means 732 00:36:23,680 --> 00:36:25,279 Speaker 1: a lot. It goes far so people can see and 733 00:36:25,320 --> 00:36:27,399 Speaker 1: hear about the podcast. And I will see you guys 734 00:36:27,440 --> 00:36:29,759 Speaker 1: on Thursday,