1 00:00:01,760 --> 00:00:05,240 Speaker 1: All media. 2 00:00:08,720 --> 00:00:12,600 Speaker 2: Oh boy, howdy, welcome back to it could happen here 3 00:00:13,080 --> 00:00:18,840 Speaker 2: a podcast about about those wacky gen Z kids and 4 00:00:18,920 --> 00:00:22,840 Speaker 2: how all of the things that the mainstream media used 5 00:00:22,840 --> 00:00:26,040 Speaker 2: to say about millennials I have now embraced to say 6 00:00:26,079 --> 00:00:29,320 Speaker 2: about gen Z who are destroying the world through their 7 00:00:29,400 --> 00:00:37,480 Speaker 2: through their greed and evilness and good knees comparatively. Yeah, Miah, 8 00:00:38,200 --> 00:00:39,559 Speaker 2: how are you doing? You're you're gen Z? 9 00:00:39,760 --> 00:00:39,960 Speaker 3: Right? 10 00:00:40,840 --> 00:00:45,120 Speaker 1: Yeah, so I'm on okay, I am on the exact 11 00:00:45,280 --> 00:00:49,120 Speaker 1: borderline of I am either the oldest Zoomer or the 12 00:00:49,200 --> 00:00:50,120 Speaker 1: youngest millennial. 13 00:00:50,960 --> 00:00:53,320 Speaker 2: So you're you're a day walker, right like you're the 14 00:00:53,400 --> 00:00:57,560 Speaker 2: you're the Blade of gen Z. Yeah, yeah, okay, so 15 00:00:57,640 --> 00:00:59,680 Speaker 2: you could go out in the sub onions, but you 16 00:00:59,760 --> 00:01:03,080 Speaker 2: still blood. Yeah, I get it, I get it. Yeah, 17 00:01:03,160 --> 00:01:05,760 Speaker 2: who's the Chris Christal I guess I'm the Chris Christofferson. 18 00:01:05,880 --> 00:01:09,640 Speaker 2: If we're doing the original Blade movie, which I watched 19 00:01:09,680 --> 00:01:13,200 Speaker 2: over Thanksgiving break pretty good. I hadn't seen it in 20 00:01:13,240 --> 00:01:17,319 Speaker 2: like fucking twenty years, but solid movie, solid movie. 21 00:01:17,360 --> 00:01:19,680 Speaker 1: I feel like it's kind of downhill from the Blood Rave. 22 00:01:19,760 --> 00:01:21,760 Speaker 1: But the Blood Rave is pretty sick. It's all every 23 00:01:21,840 --> 00:01:26,399 Speaker 1: everything in culture was downhill from blood rave. But yeah, 24 00:01:26,480 --> 00:01:29,400 Speaker 1: it's got some it's got some good bits to it. Still, 25 00:01:30,840 --> 00:01:36,000 Speaker 1: you know what doesn't have good bits to it. 26 00:01:34,560 --> 00:01:35,920 Speaker 4: The institution of marriage. 27 00:01:36,959 --> 00:01:40,840 Speaker 2: That I mean, I don't disagree with that, but I 28 00:01:40,880 --> 00:01:44,440 Speaker 2: was going to say the Washington Post editorial board, Ah, 29 00:01:44,680 --> 00:01:48,440 Speaker 2: you know, yeah, so we are talking is that this 30 00:01:48,520 --> 00:01:51,600 Speaker 2: is an episode about some gin z panic shit that 31 00:01:51,720 --> 00:01:54,320 Speaker 2: came out recently. That thought I felt was worth digging 32 00:01:54,360 --> 00:01:57,480 Speaker 2: into because of the pretty interesting ways in which it's 33 00:01:57,520 --> 00:02:01,080 Speaker 2: wrong if you were, you know, celebrating being with your family, 34 00:02:01,280 --> 00:02:04,360 Speaker 2: eating turkey or just shooting up Heroin alone in the bathroom. 35 00:02:04,600 --> 00:02:08,480 Speaker 2: Last week, on November twenty second, twenty twenty three, the 36 00:02:08,639 --> 00:02:11,920 Speaker 2: Washington Post Editorial Board published an opinion column with the 37 00:02:12,000 --> 00:02:16,880 Speaker 2: provocative title, if attitudes don't shift, a political dating mismatch 38 00:02:16,919 --> 00:02:18,320 Speaker 2: will threaten marriage. 39 00:02:18,560 --> 00:02:24,360 Speaker 4: Hell yeah, yeah, I love this. Vitally destroy the institution? 40 00:02:24,600 --> 00:02:28,079 Speaker 2: Yeah yeah, we're doing this through a political dating mismatch. 41 00:02:28,200 --> 00:02:28,359 Speaker 4: Now. 42 00:02:28,720 --> 00:02:34,160 Speaker 2: I think an article with roughly this premise drops every year, 43 00:02:34,320 --> 00:02:37,160 Speaker 2: sometimes a couple of times a year, on a couple 44 00:02:37,160 --> 00:02:39,720 Speaker 2: of different places. This time it came in through the 45 00:02:39,800 --> 00:02:43,000 Speaker 2: Washington Post editorial Board, and the basic premise of this 46 00:02:43,040 --> 00:02:47,320 Speaker 2: specific article is that gen Z and millennial men are 47 00:02:47,400 --> 00:02:52,639 Speaker 2: growing more conservative while women are growing more progressive. This 48 00:02:52,760 --> 00:02:56,880 Speaker 2: threatens marriage as an institution because all these closed minded 49 00:02:56,960 --> 00:03:00,880 Speaker 2: gen Z lib broads won't date report opplicans. Right. That 50 00:03:00,960 --> 00:03:03,519 Speaker 2: is literally like the point of the article is a 51 00:03:03,760 --> 00:03:06,239 Speaker 2: gen Z liberal women, they are less willing to date 52 00:03:06,280 --> 00:03:10,320 Speaker 2: outside of their political beliefs, and men are getting more conservative. 53 00:03:10,720 --> 00:03:13,240 Speaker 2: So it's really a danger for marriage. 54 00:03:13,320 --> 00:03:13,639 Speaker 4: Now. 55 00:03:14,280 --> 00:03:17,600 Speaker 2: I understand if your first impulse is to say something like, well, 56 00:03:17,600 --> 00:03:20,320 Speaker 2: when has the Washington Post editorial board ever been right 57 00:03:20,360 --> 00:03:23,520 Speaker 2: about a single goddamn thing? And that is a correct 58 00:03:23,560 --> 00:03:24,360 Speaker 2: attitude to have. 59 00:03:24,600 --> 00:03:28,200 Speaker 1: Sometimes they make the decision not to publish an article. 60 00:03:28,720 --> 00:03:30,920 Speaker 1: There are some days where they don't write anything. 61 00:03:31,400 --> 00:03:33,400 Speaker 2: Yeah, you have to, that is a good decision. If 62 00:03:33,440 --> 00:03:36,120 Speaker 2: they made that decision every day, I would be fully 63 00:03:36,160 --> 00:03:39,320 Speaker 2: supportive of the Washington Post editorial board. And if they'll 64 00:03:39,400 --> 00:03:42,720 Speaker 2: hire me, I can make that decision for them every day. 65 00:03:42,760 --> 00:03:47,440 Speaker 2: I'm very good at not doing anything. That said, even 66 00:03:47,440 --> 00:03:50,760 Speaker 2: though it is correct to say the Washington Post editorial 67 00:03:50,760 --> 00:03:55,240 Speaker 2: boarder basically always wrong, I've still run into overwhelming numbers 68 00:03:55,280 --> 00:03:57,680 Speaker 2: of my peers who think this article is silly but 69 00:03:57,800 --> 00:04:01,840 Speaker 2: still buy into the basic point in this piece. This 70 00:04:01,920 --> 00:04:05,080 Speaker 2: is generally married to a widespread belief which is actually 71 00:04:05,160 --> 00:04:08,760 Speaker 2: cited in the article, that toxic male influencers like Andrew 72 00:04:08,800 --> 00:04:11,640 Speaker 2: Tate have tilted huge numbers of young men to the right. 73 00:04:11,720 --> 00:04:13,760 Speaker 2: So even though people will be like, well, it's stupid 74 00:04:13,760 --> 00:04:16,280 Speaker 2: to expect people to date, you know, folks who believe 75 00:04:16,440 --> 00:04:19,440 Speaker 2: horrible political things that would hurt them, it's true that 76 00:04:19,520 --> 00:04:22,520 Speaker 2: men are getting more young men are getting more conservative right, 77 00:04:22,560 --> 00:04:27,320 Speaker 2: and this is I think generally down to this belief 78 00:04:27,400 --> 00:04:29,960 Speaker 2: that has I don't think people examine often. They just 79 00:04:30,000 --> 00:04:33,400 Speaker 2: sort of like they get concerned about the popularity of 80 00:04:33,400 --> 00:04:37,080 Speaker 2: guys like Tate, which is valid, he's concerning, but assume 81 00:04:37,120 --> 00:04:40,040 Speaker 2: that does mean that like, yeah, we're losing the young men. 82 00:04:40,080 --> 00:04:43,800 Speaker 2: They've all been tilted towards these guys. And so, without 83 00:04:43,839 --> 00:04:47,200 Speaker 2: discounting the damage of dudes like Tate, I wanted to 84 00:04:47,200 --> 00:04:50,120 Speaker 2: give a breakdown of how common the so called right 85 00:04:50,160 --> 00:04:54,400 Speaker 2: word tilt of young men actually is because spoilers, this 86 00:04:54,440 --> 00:04:57,080 Speaker 2: is a pernicious bit of disinformation, and I think it 87 00:04:57,200 --> 00:05:01,200 Speaker 2: kind of blackpills a lot of people unnecessari Let's start 88 00:05:01,240 --> 00:05:03,880 Speaker 2: with the obvious point here. Young men are not growing 89 00:05:03,920 --> 00:05:07,680 Speaker 2: more conservative across the board than men of other generations. 90 00:05:08,000 --> 00:05:09,720 Speaker 2: So first off, I want to read you a quote 91 00:05:09,760 --> 00:05:14,279 Speaker 2: from this Post editorial. Since mister Trump's election in twenty sixteen, 92 00:05:14,360 --> 00:05:16,840 Speaker 2: the percentage of young women ages eighteen to thirty who 93 00:05:16,920 --> 00:05:20,080 Speaker 2: identify as liberal has shot up from slightly over twenty 94 00:05:20,080 --> 00:05:23,719 Speaker 2: percent to thirty two percent. Young men have not followed suit. 95 00:05:23,920 --> 00:05:28,839 Speaker 2: If anything, they have grown more conservative. Now that claim 96 00:05:29,040 --> 00:05:32,120 Speaker 2: is based, you want to guess, did they cite a 97 00:05:32,160 --> 00:05:34,719 Speaker 2: bunch of different sources to prove like that it's a 98 00:05:34,720 --> 00:05:40,000 Speaker 2: really widespread problem, or do they have a single statorial. 99 00:05:38,760 --> 00:05:39,600 Speaker 4: Board they have? 100 00:05:40,080 --> 00:05:43,440 Speaker 1: Those people could not find a second study if you 101 00:05:43,520 --> 00:05:46,760 Speaker 1: nailed it to their face, they share, couldn't they share? 102 00:05:46,800 --> 00:05:50,640 Speaker 1: Couldn't they googled real quickly? Or I'm not even going 103 00:05:50,720 --> 00:05:53,000 Speaker 1: to give them credit for googling. One of their friends 104 00:05:53,000 --> 00:05:55,320 Speaker 1: who works at a right wing think tank sent them 105 00:05:55,320 --> 00:05:57,760 Speaker 1: a survey from that right wing think tank, because that 106 00:05:58,160 --> 00:06:01,919 Speaker 1: the entire statistical base of that claim is a study 107 00:06:01,960 --> 00:06:05,440 Speaker 1: by the American Enterprise Institute, which is a center right 108 00:06:05,520 --> 00:06:08,800 Speaker 1: think tank that tends to produce center rights surveys. And 109 00:06:09,080 --> 00:06:14,080 Speaker 1: even then, the study that they are actually citing doesn't show. 110 00:06:14,080 --> 00:06:16,800 Speaker 1: With the Post editorial Board claims again, their claim is 111 00:06:17,000 --> 00:06:19,120 Speaker 1: young men have not followed suit. If anything, they have 112 00:06:19,200 --> 00:06:23,200 Speaker 1: grown more conservative, right, young men. So they are talking 113 00:06:23,320 --> 00:06:26,880 Speaker 1: across the board about gen Z and millennial males. Right, 114 00:06:27,560 --> 00:06:32,080 Speaker 1: I'm going to quote from that study. Previous research identified 115 00:06:32,080 --> 00:06:35,400 Speaker 1: a growing gap and ideological orientation between young men and women. 116 00:06:35,560 --> 00:06:38,719 Speaker 1: The gender gap in liberal identity is notable among members 117 00:06:38,720 --> 00:06:42,240 Speaker 1: of Generation Z, but it's relatively modest. Forty three percent 118 00:06:42,279 --> 00:06:45,000 Speaker 1: of gen Z women identify as liberal compared to thirty 119 00:06:45,000 --> 00:06:48,200 Speaker 1: five percent of gen Z men. However, the gender divide 120 00:06:48,240 --> 00:06:52,039 Speaker 1: among white, non Hispanic gen Z adults is considerable, close 121 00:06:52,040 --> 00:06:54,800 Speaker 1: to half. Forty six percent of gen Z women are liberal, 122 00:06:55,000 --> 00:06:58,040 Speaker 1: a far greater share than white gen Z men, among 123 00:06:58,040 --> 00:07:01,960 Speaker 1: whom only twenty eight percent identify liberal. Among gen Z adults, 124 00:07:02,000 --> 00:07:04,480 Speaker 1: white men are significantly more likely than white women to 125 00:07:04,560 --> 00:07:08,280 Speaker 1: identify as politically conservative thirty six percent versus twenty six percent. 126 00:07:08,320 --> 00:07:09,680 Speaker 1: So you see what number one of the study is 127 00:07:09,720 --> 00:07:12,320 Speaker 1: doing there is it's saying forty three percent of gen 128 00:07:12,440 --> 00:07:16,320 Speaker 1: Z women, all gen Z women identify as liberal, whereas 129 00:07:16,440 --> 00:07:19,360 Speaker 1: and then it goes to thirty six percent of white 130 00:07:19,400 --> 00:07:23,360 Speaker 1: gen Z men identify as an app it's switching it 131 00:07:23,400 --> 00:07:23,680 Speaker 1: on them. 132 00:07:23,760 --> 00:07:23,960 Speaker 4: Right. 133 00:07:24,240 --> 00:07:27,520 Speaker 2: And while it does eventually acknowledge the differences, where because 134 00:07:27,520 --> 00:07:29,640 Speaker 2: it says that like across the board, all gen Z 135 00:07:29,720 --> 00:07:32,320 Speaker 2: men thirty five percent or conservative, forty three percent of 136 00:07:32,360 --> 00:07:35,560 Speaker 2: gen Z women are liberal. That's not a massive gap, right. 137 00:07:36,080 --> 00:07:39,160 Speaker 2: The Washington Post editorial board just makes the claim that 138 00:07:39,240 --> 00:07:42,200 Speaker 2: young men have grown more conservative, which is not supported 139 00:07:42,240 --> 00:07:46,080 Speaker 2: by the study. And also the study is specifically talking 140 00:07:46,080 --> 00:07:49,480 Speaker 2: about how gen Z white men have gotten more conservative. Right, 141 00:07:49,840 --> 00:07:52,960 Speaker 2: very different things being claimed here. So the Post just 142 00:07:53,040 --> 00:07:56,000 Speaker 2: ignored what was actually in the survey to claim all 143 00:07:56,320 --> 00:07:59,520 Speaker 2: young men, not just young white men, are more conservative, 144 00:07:59,560 --> 00:08:02,800 Speaker 2: not just Z white men are more conservative. Now, this 145 00:08:02,920 --> 00:08:06,000 Speaker 2: is weird. But even if you take the study, which 146 00:08:06,040 --> 00:08:09,640 Speaker 2: is misrepresented by the editorial board at its face value, 147 00:08:09,720 --> 00:08:12,040 Speaker 2: that study does not gel with all of the other 148 00:08:12,200 --> 00:08:15,000 Speaker 2: data that we have. Now, when I went through this, 149 00:08:15,160 --> 00:08:17,880 Speaker 2: it was hard to find good data on just gen 150 00:08:18,000 --> 00:08:20,360 Speaker 2: Z men that is not broken down in most of 151 00:08:20,400 --> 00:08:22,600 Speaker 2: the studies that we get. But we do have some 152 00:08:22,720 --> 00:08:26,480 Speaker 2: information on how gen Z adult men voted as a 153 00:08:26,600 --> 00:08:29,880 Speaker 2: group in the twenty twenty two midterms, and that data 154 00:08:30,040 --> 00:08:34,360 Speaker 2: is telling based on the twenty twenty two midterms seventy 155 00:08:34,400 --> 00:08:37,120 Speaker 2: one percent of young women. That's a that's gen Z 156 00:08:37,800 --> 00:08:40,719 Speaker 2: mostly gen Z eighteen to twenty nine. So I think 157 00:08:40,800 --> 00:08:42,600 Speaker 2: gen Z taps out at twenty six right now. So 158 00:08:43,120 --> 00:08:47,400 Speaker 2: presumably a percentage of the people in this are technically millennials, 159 00:08:47,400 --> 00:08:49,679 Speaker 2: but they're like you, they're day walkers. 160 00:08:49,960 --> 00:08:53,800 Speaker 1: Yeah, that's like what, like, oh my god, I can't 161 00:08:53,840 --> 00:08:55,440 Speaker 1: I can't do math live on air. 162 00:08:56,520 --> 00:08:59,319 Speaker 2: I think it's like twenty seven to forty something is 163 00:09:00,040 --> 00:09:00,640 Speaker 2: the millennials. 164 00:09:00,679 --> 00:09:02,880 Speaker 4: But I'm going to say it's close enough to this. 165 00:09:02,880 --> 00:09:03,440 Speaker 4: This is closes. 166 00:09:03,520 --> 00:09:06,440 Speaker 1: It's only like three years of people right exactly, and 167 00:09:06,480 --> 00:09:08,360 Speaker 1: they're the three years that are that are right in 168 00:09:08,400 --> 00:09:08,800 Speaker 1: the middle. 169 00:09:09,120 --> 00:09:11,440 Speaker 2: But of that of these voters in the twenty twenty 170 00:09:11,480 --> 00:09:14,600 Speaker 2: two midterms, seventy one percent of young women voted for Democrats, 171 00:09:15,040 --> 00:09:18,440 Speaker 2: twenty six percent voted for Republicans, fifty three percent of 172 00:09:18,520 --> 00:09:23,800 Speaker 2: young men voted for Democrats, forty two percent voted for Republicans. 173 00:09:24,360 --> 00:09:27,839 Speaker 2: And among LGBT, and again this is not broken down 174 00:09:27,880 --> 00:09:32,600 Speaker 2: male or female, ninety three percent voted for Democrats, and overall, 175 00:09:32,679 --> 00:09:36,480 Speaker 2: among non LGBT youth, fifty eight percent voted for Democrats, 176 00:09:36,520 --> 00:09:42,080 Speaker 2: thirty eight percent voted for Republicans. So again, not massive 177 00:09:42,520 --> 00:09:46,320 Speaker 2: discrepancies here. And one thing that may help to explain 178 00:09:46,360 --> 00:09:48,400 Speaker 2: this that again is not really broken down in the 179 00:09:48,480 --> 00:09:52,360 Speaker 2: Washington Post editorial is that while gen Z white men 180 00:09:52,720 --> 00:09:56,400 Speaker 2: have are more conservative compared to like gen Z millennial 181 00:09:56,480 --> 00:09:59,839 Speaker 2: white men, gen Z itself is a lot less white 182 00:10:00,200 --> 00:10:03,240 Speaker 2: prior generations, which means overall gen Z men are not 183 00:10:03,280 --> 00:10:07,400 Speaker 2: really getting more conservative. About fifty five percent of gen 184 00:10:07,480 --> 00:10:12,080 Speaker 2: Z is white compared to about seventy percent of boomers. Right, 185 00:10:12,360 --> 00:10:16,120 Speaker 2: So this is one major reason why. Again because again 186 00:10:16,120 --> 00:10:19,320 Speaker 2: if you actually factor in all of gen Z, there's 187 00:10:19,360 --> 00:10:23,160 Speaker 2: not this huge worry about like a marriage discrepancy as 188 00:10:23,200 --> 00:10:27,079 Speaker 2: long as you assume that people. You know that interracial 189 00:10:27,160 --> 00:10:29,679 Speaker 2: dating is not a problem for most people the way 190 00:10:29,679 --> 00:10:34,040 Speaker 2: it is for apparently the Washington Post editorial board. Now 191 00:10:34,080 --> 00:10:36,840 Speaker 2: there's a couple of caveats here. One is that midterm 192 00:10:36,920 --> 00:10:40,400 Speaker 2: voters are historically more engaged and educated than voters of 193 00:10:40,440 --> 00:10:45,040 Speaker 2: other generations. However, that may not necessarily hold true with 194 00:10:45,200 --> 00:10:48,080 Speaker 2: gen Z or millennial voters today due to a variety 195 00:10:48,160 --> 00:10:51,400 Speaker 2: of factors. One worthwhile point is that young people tend 196 00:10:51,400 --> 00:10:53,880 Speaker 2: to be driven far more by what they encounter through 197 00:10:53,880 --> 00:10:56,440 Speaker 2: social media, which is probably part of why gen Z 198 00:10:56,520 --> 00:10:59,560 Speaker 2: and millennial voters consider abortion to be a more important 199 00:10:59,600 --> 00:11:02,200 Speaker 2: thing to vote on than the economy by a margin 200 00:11:02,240 --> 00:11:05,760 Speaker 2: that bears no resemblance to older generations. This is why 201 00:11:05,800 --> 00:11:09,640 Speaker 2: we've actually seen unless for elections, soaring youth voter turnout, 202 00:11:09,880 --> 00:11:13,600 Speaker 2: particularly during the midterms, record levels of youth voting, Which 203 00:11:13,600 --> 00:11:16,400 Speaker 2: doesn't mean it's completely wrong that midterm voters may be 204 00:11:16,400 --> 00:11:19,160 Speaker 2: a bit more engaged and educated, but that's probably less 205 00:11:19,200 --> 00:11:21,120 Speaker 2: of a factor for young voters than it is for 206 00:11:21,200 --> 00:11:25,040 Speaker 2: older generations. Right, some of the conventional wisdom about who 207 00:11:25,120 --> 00:11:28,559 Speaker 2: votes when is not as accurate when we're talking about 208 00:11:28,600 --> 00:11:32,400 Speaker 2: younger people. This is not something that you can prove objectively, 209 00:11:32,480 --> 00:11:37,400 Speaker 2: but there's significant, sort of circumstantial evidence around this. Speaking 210 00:11:37,440 --> 00:11:41,880 Speaker 2: of circumstances, you know what circumstances get me to spend 211 00:11:41,920 --> 00:11:43,200 Speaker 2: my money? 212 00:11:43,920 --> 00:11:46,200 Speaker 4: Is it being served products and services? 213 00:11:46,000 --> 00:11:48,680 Speaker 2: It's well, it's when those products and services advertise on 214 00:11:48,760 --> 00:11:55,960 Speaker 2: this podcast and only this podcast. So check that shit out, homies. 215 00:12:07,679 --> 00:12:09,280 Speaker 3: Dah and we're back. 216 00:12:09,760 --> 00:12:13,240 Speaker 2: So yeah. One of the overall points to make that 217 00:12:13,280 --> 00:12:15,199 Speaker 2: I think goes against this kind of panic a lot 218 00:12:15,200 --> 00:12:17,480 Speaker 2: of people have that gen Z is somehow being like 219 00:12:17,600 --> 00:12:21,720 Speaker 2: pilled away from progressive politics is that as a result 220 00:12:21,760 --> 00:12:26,319 Speaker 2: of stuff primarily abortion, gen Z voters supported Democrats over 221 00:12:26,360 --> 00:12:30,199 Speaker 2: Republicans in the midterm elections by and astonishing twenty seven points. 222 00:12:30,720 --> 00:12:32,839 Speaker 2: This is again a large part of this came down 223 00:12:32,920 --> 00:12:37,040 Speaker 2: to abortion, which gen Z voters prioritize by a higher 224 00:12:37,040 --> 00:12:39,800 Speaker 2: amount than any other generation. One of the things that 225 00:12:39,880 --> 00:12:41,600 Speaker 2: was noted in one of the studies I found is 226 00:12:41,679 --> 00:12:45,200 Speaker 2: like a potential line of hope for Republicans is that 227 00:12:45,320 --> 00:12:47,280 Speaker 2: while this and this is part of where I think 228 00:12:47,320 --> 00:12:50,840 Speaker 2: some of the fear mongering and the these Washington Post 229 00:12:50,920 --> 00:12:52,839 Speaker 2: articles comes from, although I don't think it says what 230 00:12:52,880 --> 00:12:56,280 Speaker 2: they think. It says is that lower numbers of young 231 00:12:56,360 --> 00:13:00,840 Speaker 2: people support specific parties. Right, so only about thirty percent 232 00:13:00,920 --> 00:13:04,800 Speaker 2: of gen zs align with Democrats compared to twenty four 233 00:13:04,840 --> 00:13:08,120 Speaker 2: percent of Republicans. And if you just look at that, 234 00:13:08,120 --> 00:13:11,360 Speaker 2: that's way less of that seems like you're seeing like 235 00:13:11,440 --> 00:13:14,840 Speaker 2: these numbers sort of kind of tighten up. But again, 236 00:13:15,200 --> 00:13:18,920 Speaker 2: they still voted over Democrats of Republicans by twenty seven points. 237 00:13:18,960 --> 00:13:22,319 Speaker 2: It's just that gen Z is less loyal to political parties, 238 00:13:22,480 --> 00:13:25,600 Speaker 2: which doesn't necessarily mean that progressivism is in danger just 239 00:13:25,600 --> 00:13:28,559 Speaker 2: means that most young people hate the Democrats too, and. 240 00:13:28,520 --> 00:13:30,199 Speaker 1: That could and the other thing is like the thing 241 00:13:30,240 --> 00:13:32,400 Speaker 1: that actually legit and I think this is legitimately. A 242 00:13:32,400 --> 00:13:33,959 Speaker 1: part of it is like, well, okay, so what happened, 243 00:13:34,160 --> 00:13:36,000 Speaker 1: what's happening to all those people? And the answer is 244 00:13:36,040 --> 00:13:39,440 Speaker 1: they're becoming socialists And it's like, well that doesn't help 245 00:13:39,480 --> 00:13:40,960 Speaker 1: the Republicans either, yeah. 246 00:13:40,840 --> 00:13:43,120 Speaker 2: So yeah, and it's it's I mean, part of it 247 00:13:43,200 --> 00:13:45,360 Speaker 2: is that more young people identify with like kind of 248 00:13:45,400 --> 00:13:48,840 Speaker 2: more politically radical chunks of progressivism. Part of it is 249 00:13:48,840 --> 00:13:51,559 Speaker 2: that a lot more of them identify as independent and 250 00:13:51,600 --> 00:13:55,800 Speaker 2: may not may not identify themselves super much as a 251 00:13:55,800 --> 00:14:00,960 Speaker 2: specific political chunk, but in general, like they vote progressive, 252 00:14:01,040 --> 00:14:04,520 Speaker 2: they just don't have any faith in like the ossified 253 00:14:04,600 --> 00:14:07,960 Speaker 2: political structures in our society, which is a rational thing 254 00:14:08,200 --> 00:14:09,680 Speaker 2: to do as a young person. 255 00:14:09,880 --> 00:14:10,120 Speaker 3: Right. 256 00:14:10,880 --> 00:14:13,480 Speaker 2: So I also want to address kind of the elephant 257 00:14:13,480 --> 00:14:15,320 Speaker 2: in the room with this piece, which is that the 258 00:14:15,400 --> 00:14:19,320 Speaker 2: Washington Post editorial Board's obsession with political divide among the young, 259 00:14:19,440 --> 00:14:23,800 Speaker 2: harming marriage specifically, is also kind of gay panicky, right, 260 00:14:24,080 --> 00:14:26,920 Speaker 2: because one of the reasons why there seems to be 261 00:14:26,960 --> 00:14:29,560 Speaker 2: this divide that they see as like this threatens marriage, 262 00:14:29,600 --> 00:14:32,080 Speaker 2: is that a higher percentage of Gen Z kids are 263 00:14:32,160 --> 00:14:34,760 Speaker 2: less interested in straight marriage. And these gen Z kids, 264 00:14:34,760 --> 00:14:38,120 Speaker 2: male and female, are not getting more conservative, but they're 265 00:14:38,120 --> 00:14:41,160 Speaker 2: also presumably not going to do the kind of marriage 266 00:14:41,240 --> 00:14:44,960 Speaker 2: that the Washington Post editorial board was right. I'm going 267 00:14:45,000 --> 00:14:48,080 Speaker 2: to quote from a Time magazine rite up here. In 268 00:14:48,160 --> 00:14:50,320 Speaker 2: late twenty twenty and early twenty twenty one, gen Z 269 00:14:50,520 --> 00:14:53,360 Speaker 2: was the only US generation in which a majority believed 270 00:14:53,400 --> 00:14:56,040 Speaker 2: there are more than two genders. As recently as the 271 00:14:56,080 --> 00:14:58,680 Speaker 2: first half of twenty twenty, this was a minority opinion 272 00:14:58,720 --> 00:15:01,560 Speaker 2: even among Gen zs, remarkable amount of change over just 273 00:15:01,640 --> 00:15:04,360 Speaker 2: six months. In contrast, there was only a small uptick 274 00:15:04,360 --> 00:15:07,640 Speaker 2: in this belief among older generations. That type of data 275 00:15:07,680 --> 00:15:10,440 Speaker 2: is finally available. Starting in June twenty twenty one, the 276 00:15:10,560 --> 00:15:13,800 Speaker 2: US Census Bureau offered four options on its Household Pulse 277 00:15:13,840 --> 00:15:17,760 Speaker 2: survey question about gender male, female, transgender, and none of 278 00:15:17,800 --> 00:15:20,280 Speaker 2: these The last a rough gage of those who identify 279 00:15:20,320 --> 00:15:23,160 Speaker 2: as non binary, gender fluid, or another gender identity. 280 00:15:23,560 --> 00:15:25,640 Speaker 4: With that more a terrible way of phrasing that court 281 00:15:25,720 --> 00:15:26,440 Speaker 4: It's not a great way. 282 00:15:26,480 --> 00:15:31,880 Speaker 2: It's better than nothing, but yeah, it's not God more 283 00:15:31,920 --> 00:15:34,640 Speaker 2: than With more than a million respondents, the survey is 284 00:15:34,720 --> 00:15:37,600 Speaker 2: large enough to provide accurate estimates. The results are clear. 285 00:15:37,680 --> 00:15:39,880 Speaker 2: Gen Z young adults are much more likely to report 286 00:15:39,960 --> 00:15:43,000 Speaker 2: identifying as either trans or non binary than other generations. 287 00:15:43,200 --> 00:15:45,320 Speaker 2: Will Only one out of a thousand boomers report they 288 00:15:45,320 --> 00:15:48,320 Speaker 2: are transgender one tenth of one percent. Twenty three out 289 00:15:48,360 --> 00:15:50,760 Speaker 2: of one thousand gen Z young adults two point three 290 00:15:50,800 --> 00:15:54,560 Speaker 2: percent identify as trans, twenty times more. By this estimate, 291 00:15:54,560 --> 00:15:56,600 Speaker 2: there are now more TRANSI young adults in the US 292 00:15:56,640 --> 00:15:58,880 Speaker 2: than the number of people living in Boston, which is 293 00:15:58,960 --> 00:16:02,400 Speaker 2: great because I have long felt that what we need 294 00:16:02,400 --> 00:16:05,120 Speaker 2: to do is arm trans people to take over the 295 00:16:05,160 --> 00:16:07,560 Speaker 2: city of Boston. I believe this for years, and I 296 00:16:07,600 --> 00:16:09,320 Speaker 2: think we can finally make it happen. 297 00:16:09,640 --> 00:16:11,480 Speaker 1: Okay, but here's the problem, though, you still have to 298 00:16:11,520 --> 00:16:14,280 Speaker 1: live in Boston afterward. Well, I guess we could take 299 00:16:14,280 --> 00:16:14,880 Speaker 1: the city. 300 00:16:14,680 --> 00:16:17,320 Speaker 4: Of Boston and live somewhere else and then sort of like, yeah, you. 301 00:16:17,240 --> 00:16:20,520 Speaker 2: Can use from it, Yeah, presumably, yeah you could. You 302 00:16:20,560 --> 00:16:24,600 Speaker 2: could basically become like collectively the landlords of Boston and 303 00:16:24,640 --> 00:16:27,160 Speaker 2: then use it to afford rented in a better place. 304 00:16:29,120 --> 00:16:31,920 Speaker 4: This is viable, I believe. I believe in our lifetime. 305 00:16:32,000 --> 00:16:34,880 Speaker 2: So we can tell this and this will finally increase 306 00:16:34,920 --> 00:16:38,680 Speaker 2: gen z's like home ownership numbers. Right if collectively all 307 00:16:38,720 --> 00:16:42,280 Speaker 2: of the transnd non binary people own Boston. Yeah, this 308 00:16:42,440 --> 00:16:46,160 Speaker 2: is a workable plan. I think I'm gonna continue that quote. 309 00:16:46,280 --> 00:16:48,880 Speaker 2: Fewer than one percent of boomers identify as non binary, 310 00:16:48,880 --> 00:16:51,280 Speaker 2: compared to more than three percent of gen Z young adults. 311 00:16:51,640 --> 00:16:53,760 Speaker 2: Combined with the more than two percent to our trans 312 00:16:53,760 --> 00:16:56,040 Speaker 2: that means one out of eighteen young adults identified as 313 00:16:56,040 --> 00:16:58,200 Speaker 2: something other than male or female in twenty twenty one 314 00:16:58,320 --> 00:17:01,120 Speaker 2: or twenty twenty two, which is again, it's not true 315 00:17:01,200 --> 00:17:04,000 Speaker 2: because half of Note that's not it's not it's not 316 00:17:04,160 --> 00:17:07,800 Speaker 2: the time because again two percent are trans, which presumably, 317 00:17:07,840 --> 00:17:10,240 Speaker 2: based on this survey and how it's asked, presumably means 318 00:17:10,400 --> 00:17:14,040 Speaker 2: identifies either male or female, whereas three percent are non 319 00:17:14,080 --> 00:17:17,040 Speaker 2: binary of some sort, may not, may not identify as 320 00:17:17,080 --> 00:17:19,560 Speaker 2: either mail or It doesn't say that this is this 321 00:17:19,600 --> 00:17:23,040 Speaker 2: is this is not well written, but the data is interesting. 322 00:17:23,040 --> 00:17:25,639 Speaker 2: It suggests five to six percent of gen Z are 323 00:17:25,680 --> 00:17:29,040 Speaker 2: trans are non binary, which is a wild departure from 324 00:17:29,040 --> 00:17:33,520 Speaker 2: previous generations. Right, And also that's a significant chunk of 325 00:17:33,560 --> 00:17:36,000 Speaker 2: this these gen Z numbers that are not being included 326 00:17:36,000 --> 00:17:38,639 Speaker 2: in this Washington Post because presumably a decent chunk of 327 00:17:38,640 --> 00:17:40,080 Speaker 2: these people will want to get married. 328 00:17:40,240 --> 00:17:40,840 Speaker 4: They just don't. 329 00:17:40,880 --> 00:17:43,520 Speaker 2: I identify in a way that the gen Z that 330 00:17:43,560 --> 00:17:46,000 Speaker 2: the Washington Post editorial board respects. 331 00:17:46,080 --> 00:17:46,240 Speaker 1: Right. 332 00:17:46,720 --> 00:17:49,320 Speaker 2: And again, one of the things that's interesting about this, 333 00:17:49,720 --> 00:17:52,960 Speaker 2: and contra to all this fearmongering about Andrew Tates destroying 334 00:17:53,000 --> 00:17:56,080 Speaker 2: all the men, is that male or female gen Z 335 00:17:56,160 --> 00:18:00,480 Speaker 2: and millennial voters overwhelmingly support LGBT rights more than they 336 00:18:00,520 --> 00:18:04,639 Speaker 2: support almost anything else. And this is consistent across the board, 337 00:18:04,920 --> 00:18:07,480 Speaker 2: and markedly higher than it is for other generations. 338 00:18:07,560 --> 00:18:07,720 Speaker 4: Right. 339 00:18:07,720 --> 00:18:11,440 Speaker 2: Presumably this seems to include even like more independent or 340 00:18:11,480 --> 00:18:13,720 Speaker 2: even more conservative gen Z and millennial voters. 341 00:18:13,800 --> 00:18:14,240 Speaker 4: Right, They're just. 342 00:18:14,240 --> 00:18:19,240 Speaker 2: Across the board less shitty on this, I'm guessing presumably 343 00:18:19,280 --> 00:18:22,600 Speaker 2: because a lot of their friends are our trands or 344 00:18:22,640 --> 00:18:26,760 Speaker 2: non binary or just queer, and that that makes them 345 00:18:26,840 --> 00:18:30,360 Speaker 2: less bigoted about this stuff. And again doesn't really fit 346 00:18:30,440 --> 00:18:33,720 Speaker 2: into this this narrative. Right, And this is again part 347 00:18:33,760 --> 00:18:37,160 Speaker 2: of why I'm not as doomor about you know, there's 348 00:18:37,200 --> 00:18:40,600 Speaker 2: this there's this big fear, oh, you know, progressives are 349 00:18:40,840 --> 00:18:43,760 Speaker 2: desert young people are deserting progressivism, which is going to 350 00:18:43,760 --> 00:18:46,520 Speaker 2: do must electorally, and I'm just not seeing that in 351 00:18:46,560 --> 00:18:47,080 Speaker 2: the numbers. 352 00:18:47,119 --> 00:18:47,280 Speaker 1: Now. 353 00:18:47,280 --> 00:18:49,639 Speaker 2: Again, everything that's been going on with like the Biden 354 00:18:49,640 --> 00:18:55,040 Speaker 2: administration's you know, support of Israel certainly may and probably 355 00:18:55,080 --> 00:18:59,000 Speaker 2: will have an impact politically, but it's not necessarily, it's 356 00:18:59,080 --> 00:19:02,119 Speaker 2: not very clear, not a result of young people getting 357 00:19:02,160 --> 00:19:05,240 Speaker 2: pilled by Andrew Tate, Right, that's not why that's happened. 358 00:19:05,320 --> 00:19:06,960 Speaker 1: And there's there's a thing I wanted to talk about 359 00:19:06,960 --> 00:19:10,359 Speaker 1: with the Andrew Tate stuff too, because like everyone's treating 360 00:19:10,400 --> 00:19:13,320 Speaker 1: this as like a completely new phenomena and it's like 361 00:19:14,160 --> 00:19:16,399 Speaker 1: most of the people who are talking about this should 362 00:19:16,440 --> 00:19:19,439 Speaker 1: be old enough to remember gamer Gate, Like this stuff 363 00:19:19,480 --> 00:19:21,760 Speaker 1: has all happened before, and it was like, yeah, like 364 00:19:22,000 --> 00:19:24,879 Speaker 1: gamer Date did produce a bunch of fascists and also 365 00:19:24,960 --> 00:19:28,359 Speaker 1: the millennials were still unbelievably further left than like the 366 00:19:28,400 --> 00:19:29,600 Speaker 1: generations that came before them. 367 00:19:29,760 --> 00:19:31,679 Speaker 4: Yeah, so like it's like this is this. 368 00:19:31,240 --> 00:19:34,000 Speaker 1: Is this is just a thing, Like every generation has 369 00:19:34,720 --> 00:19:36,960 Speaker 1: a a giant thing where there's like a bunch of 370 00:19:37,040 --> 00:19:42,840 Speaker 1: right wing like yeah, push yeah. 371 00:19:42,480 --> 00:19:44,399 Speaker 4: Yeah, it's like this just happens periodically it's just like 372 00:19:44,400 --> 00:19:46,520 Speaker 4: a part of it. It's a part of Baltics. It sucks, 373 00:19:46,600 --> 00:19:48,800 Speaker 4: it's bad, but it's also like not a thing to 374 00:19:48,840 --> 00:19:50,800 Speaker 4: be humored about. No. 375 00:19:51,080 --> 00:19:54,159 Speaker 2: I do think another thing that is happening here is 376 00:19:54,200 --> 00:19:56,800 Speaker 2: that the kind of people who become members of the 377 00:19:56,840 --> 00:20:01,359 Speaker 2: Washington Post editorial board have this, have this brainworm, the 378 00:20:01,480 --> 00:20:05,680 Speaker 2: sickness that infects members of the American media worse than 379 00:20:06,160 --> 00:20:09,440 Speaker 2: almost anyone else, which is like they're always looking for ah, 380 00:20:09,520 --> 00:20:12,280 Speaker 2: contrary to popular wisdom. You think this, but the reality, 381 00:20:12,480 --> 00:20:15,960 Speaker 2: you know, it's it's Malcolm Gladwell syndrome, right where you've 382 00:20:15,960 --> 00:20:17,800 Speaker 2: got to come up with some like clever thing that 383 00:20:17,880 --> 00:20:20,359 Speaker 2: shows that you're smart because you know, buy into the 384 00:20:20,400 --> 00:20:23,239 Speaker 2: standard wisdom, which is always wrong. And there's that, and 385 00:20:23,280 --> 00:20:27,479 Speaker 2: so that they have to believe that whatever is really 386 00:20:27,560 --> 00:20:31,520 Speaker 2: happening is the opposite of what's obviously happening, right, which 387 00:20:31,560 --> 00:20:35,159 Speaker 2: is why this Actually young men are getting more conservative, 388 00:20:35,200 --> 00:20:37,440 Speaker 2: and it's I'm the only one who realizes, and I've 389 00:20:37,440 --> 00:20:39,600 Speaker 2: got to warn every one of the danger to marriage. 390 00:20:39,760 --> 00:20:42,119 Speaker 2: Speaking of which, here's a quote another quote from that 391 00:20:42,200 --> 00:20:47,120 Speaker 2: Washington Post article. In another era, political or ideological differences 392 00:20:47,200 --> 00:20:50,320 Speaker 2: might have had less impact on marriage rates, but increasingly 393 00:20:50,440 --> 00:20:53,560 Speaker 2: the political is personal. A twenty twenty one survey of 394 00:20:53,640 --> 00:20:57,480 Speaker 2: college students found that seventy one percent of Democrats would 395 00:20:57,480 --> 00:21:00,639 Speaker 2: not date someone with opposing views. There is i'm logic 396 00:21:00,680 --> 00:21:03,440 Speaker 2: to this marriage across religious or political lines. If either 397 00:21:03,480 --> 00:21:06,280 Speaker 2: partner considers those things to be central with their identity, 398 00:21:06,560 --> 00:21:09,840 Speaker 2: can be associated with lower levels of life satisfaction, and 399 00:21:09,880 --> 00:21:13,960 Speaker 2: politics is becoming more central to people's identity. This mismatch 400 00:21:14,040 --> 00:21:17,240 Speaker 2: means that someone will need to compromise, As the researchers 401 00:21:17,320 --> 00:21:20,040 Speaker 2: Limonstone and Brad Wilcox have noted, about one in five 402 00:21:20,119 --> 00:21:22,400 Speaker 2: young singles will have little choice but to marry someone 403 00:21:22,400 --> 00:21:25,480 Speaker 2: outside of their ideological tribe. The other option is that 404 00:21:25,520 --> 00:21:27,880 Speaker 2: they decline to get married at all. Not an ideal 405 00:21:27,920 --> 00:21:30,280 Speaker 2: outcome considering the data showing that marriage is good for 406 00:21:30,320 --> 00:21:33,800 Speaker 2: the health of societies and individuals alike. And again, this 407 00:21:33,920 --> 00:21:36,240 Speaker 2: is only the case that one to five number is 408 00:21:36,280 --> 00:21:42,080 Speaker 2: ignoring queer people. Yeah, largely ignoring non white people, right, 409 00:21:42,160 --> 00:21:45,560 Speaker 2: Like it's just not accurate, Like, yeah, maybe a lot 410 00:21:45,560 --> 00:21:47,439 Speaker 2: more young white men are going to be single, and 411 00:21:47,480 --> 00:21:49,879 Speaker 2: there's problems that will occur due to that. Right because, 412 00:21:50,040 --> 00:21:51,800 Speaker 2: for one thing, that's the group that tends to like 413 00:21:52,000 --> 00:21:54,560 Speaker 2: load up on guns and shoot up public places, not 414 00:21:54,560 --> 00:21:56,960 Speaker 2: saying it's not a problem, but it doesn't mean that 415 00:21:57,000 --> 00:22:00,159 Speaker 2: our society is doomed because no one's getting married. Is 416 00:22:00,160 --> 00:22:02,560 Speaker 2: that there's some serious problems with young white men that 417 00:22:02,600 --> 00:22:03,600 Speaker 2: we need to deal with. 418 00:22:03,920 --> 00:22:06,080 Speaker 1: Yeah, well, and there's there's there's two other things that 419 00:22:06,119 --> 00:22:09,160 Speaker 1: I think are interesting there. One is, Okay, you can 420 00:22:09,240 --> 00:22:12,920 Speaker 1: tell when these people like formed their political beliefs because 421 00:22:12,920 --> 00:22:16,000 Speaker 1: they're complaining about the personal is political, which is this 422 00:22:16,200 --> 00:22:19,720 Speaker 1: is ninety shit like that is that is like that 423 00:22:19,880 --> 00:22:22,520 Speaker 1: is like like old school ass like this is this 424 00:22:22,600 --> 00:22:25,040 Speaker 1: is like stuff people were like, I don't know, it's 425 00:22:25,080 --> 00:22:27,240 Speaker 1: it's like, uh, it's like political correctness where it's like 426 00:22:27,400 --> 00:22:29,720 Speaker 1: it's the previous version of the same panic that everyone's 427 00:22:29,720 --> 00:22:32,320 Speaker 1: having now, but this is from the nineties, and so 428 00:22:32,400 --> 00:22:34,560 Speaker 1: it's like all of these people are just like absolute 429 00:22:34,640 --> 00:22:39,000 Speaker 1: dinosaurs who they've like dragged out to write this like. 430 00:22:39,040 --> 00:22:40,119 Speaker 4: Weird fearmongering thing. 431 00:22:40,160 --> 00:22:42,080 Speaker 1: And the second thing is I think is interesting too 432 00:22:42,160 --> 00:22:46,040 Speaker 1: is like just the the deep, ingrained, sort of very 433 00:22:46,080 --> 00:22:51,359 Speaker 1: conservative assumption here, which is that marriage is good for society, 434 00:22:52,040 --> 00:22:56,800 Speaker 1: which I don't think is anywhere near as straightforward a proposition, 435 00:22:56,840 --> 00:22:59,399 Speaker 1: as to Washington Post is making it seem like and 436 00:22:59,440 --> 00:23:02,440 Speaker 1: you know, and they have racistical arguments. I mean, the 437 00:23:02,560 --> 00:23:05,200 Speaker 1: cistics that I've seen, like you know, just just sort 438 00:23:05,200 --> 00:23:07,879 Speaker 1: of likeasistics that I've seen based on American society is 439 00:23:07,880 --> 00:23:10,280 Speaker 1: that like, women who aren't married are way happier than 440 00:23:10,320 --> 00:23:13,880 Speaker 1: they are in marriages, and you know, like men do worse. 441 00:23:13,920 --> 00:23:15,080 Speaker 1: But like, you know, but like I mean, this is 442 00:23:15,080 --> 00:23:17,960 Speaker 1: one of these things there's like we don't know, like 443 00:23:18,160 --> 00:23:20,560 Speaker 1: there has not been a version of America where we 444 00:23:20,600 --> 00:23:24,440 Speaker 1: haven't where the institution of marriage wasn't like our thing 445 00:23:24,560 --> 00:23:27,560 Speaker 1: that hasn't existed for like two or three hundred years. 446 00:23:28,119 --> 00:23:29,479 Speaker 4: Right, Yeah, we don't know. 447 00:23:29,640 --> 00:23:32,760 Speaker 1: The Washington Post doesn't know what an American society without, 448 00:23:32,880 --> 00:23:35,199 Speaker 1: like where people don't get married. Looks like like they 449 00:23:35,240 --> 00:23:37,399 Speaker 1: have no idea, but they're just sort of assuming that 450 00:23:37,480 --> 00:23:40,920 Speaker 1: it's like the apocalypse because they're weird conservatives in the nineties. 451 00:23:41,520 --> 00:23:43,159 Speaker 2: Yeah, and a lot of I mean, and again, a 452 00:23:43,240 --> 00:23:48,400 Speaker 2: massive part of what's we're seeing here is less it's 453 00:23:48,480 --> 00:23:51,639 Speaker 2: objectively good, like marriage is the result of all of 454 00:23:51,640 --> 00:23:55,320 Speaker 2: these kind of positive mental health outcomes and more well, 455 00:23:55,400 --> 00:23:59,760 Speaker 2: when people are like have relationships and loved ones and 456 00:23:59,840 --> 00:24:03,560 Speaker 2: like a family system supporting them. They're less likely to 457 00:24:03,600 --> 00:24:06,320 Speaker 2: commit suicide, they're more likely to have someone notice if 458 00:24:06,359 --> 00:24:09,719 Speaker 2: they take ill. They're just like healthier in general. But 459 00:24:09,760 --> 00:24:14,080 Speaker 2: that doesn't that doesn't necessarily mean that it's marriage specifically, 460 00:24:14,160 --> 00:24:17,560 Speaker 2: and more like yeah, not being alone. Right, Yeah, Anyway, 461 00:24:17,720 --> 00:24:20,040 Speaker 2: I want to continue and just kind of go through. 462 00:24:20,200 --> 00:24:22,720 Speaker 2: I think we've trashed this article enough, but I did 463 00:24:22,720 --> 00:24:25,159 Speaker 2: find a lot of interesting stuff about gen Z and 464 00:24:25,200 --> 00:24:27,840 Speaker 2: young voters that I wanted to get into. But first, 465 00:24:28,720 --> 00:24:33,080 Speaker 2: here's some more fucking ads. You pigs, you filthy mongrels. 466 00:24:33,680 --> 00:24:36,640 Speaker 2: Slop it up, suck it down. Anyway, we'll be back 467 00:24:36,640 --> 00:24:36,880 Speaker 2: in a. 468 00:24:36,840 --> 00:24:48,240 Speaker 3: Minute, and we're back. 469 00:24:48,520 --> 00:24:51,359 Speaker 2: So one interesting thing I found. I tried to stick 470 00:24:51,440 --> 00:24:54,240 Speaker 2: to just stuff from like twenty twenty one or later 471 00:24:54,280 --> 00:24:56,840 Speaker 2: for this, in part because of the Andrew Tait of it. 472 00:24:56,880 --> 00:24:58,840 Speaker 2: All Right, I wanted to like try to find stuff 473 00:24:58,880 --> 00:25:02,240 Speaker 2: that was like, Okay, since that guy came onto the scene, 474 00:25:02,280 --> 00:25:04,520 Speaker 2: has there been some sudden shift because people treat him 475 00:25:04,520 --> 00:25:08,920 Speaker 2: like the pied piper of fucking fascism, which, again, he's 476 00:25:08,920 --> 00:25:11,320 Speaker 2: a problem, but I don't think that's broadly accurate. So 477 00:25:11,320 --> 00:25:12,920 Speaker 2: one of the studies I found was a twenty twenty 478 00:25:12,920 --> 00:25:16,919 Speaker 2: one survey from MTV AP and o RC right, and 479 00:25:17,000 --> 00:25:21,600 Speaker 2: it was interesting because it showed something I didn't real 480 00:25:22,359 --> 00:25:24,400 Speaker 2: something I had kind of bought into, was at least 481 00:25:24,520 --> 00:25:27,080 Speaker 2: less supported by the evidence than I might have thought, 482 00:25:27,359 --> 00:25:31,159 Speaker 2: which is like the level of Doumerism and young people politics. 483 00:25:32,440 --> 00:25:35,880 Speaker 2: Gen Z actually shows optim like that they are more 484 00:25:35,920 --> 00:25:39,359 Speaker 2: optimistic than a lot of older people, both in the 485 00:25:39,400 --> 00:25:41,879 Speaker 2: state of the world and their role in improving it. 486 00:25:42,600 --> 00:25:45,399 Speaker 2: Two thirds of gen Z feels like their generation is 487 00:25:45,440 --> 00:25:48,760 Speaker 2: motivated to make positive change in the country. Part of 488 00:25:48,840 --> 00:25:50,600 Speaker 2: I think where we get some of the feelings of 489 00:25:50,640 --> 00:25:53,320 Speaker 2: dumerism is that only about fourteen percent think that they 490 00:25:53,560 --> 00:25:55,360 Speaker 2: can have an impact on what the government does. 491 00:25:56,640 --> 00:26:02,720 Speaker 1: Yeah, I mean that isn't higherly reasonable assessment of I 492 00:26:02,720 --> 00:26:05,800 Speaker 1: mean just like looking at polling data on Palestine or like. 493 00:26:05,840 --> 00:26:10,320 Speaker 2: Absolutely no, we had a very rational take actually. 494 00:26:10,040 --> 00:26:12,480 Speaker 1: Yeah, yeah, it's like we had we had an entire uprising, 495 00:26:12,520 --> 00:26:14,960 Speaker 1: like people people fought the Secret Service at the gates 496 00:26:14,960 --> 00:26:17,159 Speaker 1: of the White House, and the product of it was 497 00:26:17,240 --> 00:26:19,080 Speaker 1: the government was like, no, we should give more money 498 00:26:19,080 --> 00:26:21,520 Speaker 1: to cops. Yeah, it's like, yeah, it's like, Okay, we're 499 00:26:21,560 --> 00:26:23,840 Speaker 1: like defunding the New York Public Library System to buy 500 00:26:23,960 --> 00:26:28,760 Speaker 1: encrypted radio like things for police units. Like it's like, yeah, 501 00:26:28,800 --> 00:26:30,920 Speaker 1: like this is objectively true that you have very little 502 00:26:30,960 --> 00:26:32,520 Speaker 1: influence over the government. 503 00:26:32,359 --> 00:26:36,400 Speaker 2: Like a perfectly reasonable thing to say. Yeah, but yeah 504 00:26:36,440 --> 00:26:39,359 Speaker 2: about uh it is interesting too. Another thing that I 505 00:26:39,400 --> 00:26:41,200 Speaker 2: was kind of surprised me. It's about half of Gen 506 00:26:41,280 --> 00:26:43,399 Speaker 2: Z people think their standard of living is better than 507 00:26:43,400 --> 00:26:46,919 Speaker 2: their parents, but about half also think that the world 508 00:26:46,960 --> 00:26:49,880 Speaker 2: their generation is facing is worse than what most other 509 00:26:49,960 --> 00:26:54,040 Speaker 2: people most other generations have dealt with. So like they 510 00:26:54,040 --> 00:26:57,159 Speaker 2: think that their problems are are worse than like what 511 00:26:57,320 --> 00:26:59,720 Speaker 2: boomers and Gen X and millennials we're dealing with, but 512 00:26:59,720 --> 00:27:02,040 Speaker 2: they think they're about half of them think they're living 513 00:27:02,080 --> 00:27:05,920 Speaker 2: better lives. This is pretty similar to how millennials feel. 514 00:27:06,240 --> 00:27:08,919 Speaker 2: Gen X feels very different. Gen X or is the 515 00:27:08,920 --> 00:27:12,560 Speaker 2: most pessimistic generation about the state of the world, which 516 00:27:12,600 --> 00:27:14,800 Speaker 2: actually makes kind of sense if you realize that like 517 00:27:14,840 --> 00:27:17,119 Speaker 2: a lot of Gen Z kids are the children of 518 00:27:17,160 --> 00:27:20,080 Speaker 2: Gen X people, right, So like they think their standard 519 00:27:20,119 --> 00:27:21,960 Speaker 2: of living is better than their parents because Gen X 520 00:27:22,000 --> 00:27:25,840 Speaker 2: is miserable. Yeah, which you know, interesting. Gen Z and 521 00:27:25,840 --> 00:27:28,439 Speaker 2: Millennials are more accepting than Gen X of depictions of 522 00:27:28,480 --> 00:27:31,600 Speaker 2: same sex couples in media, and hold more positive views 523 00:27:31,600 --> 00:27:37,720 Speaker 2: of LGBT people, which again, Gen X is the worst generation. 524 00:27:38,080 --> 00:27:39,920 Speaker 2: We all have to agree on that one. 525 00:27:40,400 --> 00:27:41,120 Speaker 4: Just terrible. 526 00:27:41,600 --> 00:27:44,800 Speaker 2: It really really didn't work out. 527 00:27:44,119 --> 00:27:44,920 Speaker 4: In two thousands. 528 00:27:44,960 --> 00:27:50,800 Speaker 2: Were just a disaster, calamity, calamity. So I wanted to 529 00:27:50,840 --> 00:27:53,080 Speaker 2: kind of break down some stuff from this survey that 530 00:27:53,200 --> 00:27:56,679 Speaker 2: was interesting, just kind of on how the generations support 531 00:27:56,720 --> 00:27:59,760 Speaker 2: various policies. So, in terms of their support for prohibiting 532 00:27:59,800 --> 00:28:03,320 Speaker 2: work place discrimination on the basis of gender identity, sixty 533 00:28:03,359 --> 00:28:05,560 Speaker 2: two percent of Gen Z and sixty two percent of 534 00:28:05,600 --> 00:28:09,320 Speaker 2: millennials support that, only fifty three percent of Gen X does, 535 00:28:09,359 --> 00:28:11,680 Speaker 2: which is still actually not like a massive gap, right 536 00:28:12,680 --> 00:28:14,360 Speaker 2: when it comes to this is interesting when it comes 537 00:28:14,440 --> 00:28:17,800 Speaker 2: to requiring Americans to mask in public places like stores 538 00:28:17,800 --> 00:28:21,600 Speaker 2: and restaurants, fifty four percent of millennials support that, fifty 539 00:28:21,640 --> 00:28:24,080 Speaker 2: three percent of Gen X do but does, but fifty 540 00:28:24,119 --> 00:28:27,159 Speaker 2: two percent of Gen Z does, which is all potentially 541 00:28:27,160 --> 00:28:28,919 Speaker 2: within kind of a margin of err, yeah, that's us 542 00:28:29,280 --> 00:28:31,800 Speaker 2: like noise, Like, yeah, that might just be noise. It's 543 00:28:31,800 --> 00:28:35,600 Speaker 2: about equivalent, right, It's pretty most of this is actually 544 00:28:35,600 --> 00:28:37,240 Speaker 2: pretty for all of our shitting on gen X, most 545 00:28:37,280 --> 00:28:40,880 Speaker 2: of this is actually pretty close. For acquiring vaccinations, Millennials 546 00:28:40,880 --> 00:28:43,480 Speaker 2: seem to support it higher than anyone else forty nine percent, 547 00:28:43,800 --> 00:28:47,600 Speaker 2: gen Z at forty three percent, which is significant. Kind 548 00:28:47,600 --> 00:28:49,080 Speaker 2: of gen X is right in the middle at forty 549 00:28:49,080 --> 00:28:52,400 Speaker 2: five When it comes to supporting a nationwide ban on 550 00:28:52,440 --> 00:28:56,320 Speaker 2: air fifteens and other similar semi automatic rifles, gen Z 551 00:28:56,680 --> 00:28:58,840 Speaker 2: and gen X are at forty two percent for gen 552 00:28:58,960 --> 00:29:01,600 Speaker 2: X forty four percent for GIN, whereas millennials are at 553 00:29:01,640 --> 00:29:04,440 Speaker 2: forty seven percent. Now, a lot of this breakdown, because 554 00:29:04,440 --> 00:29:06,880 Speaker 2: I dug into the actual numbers, is the difference between 555 00:29:07,120 --> 00:29:10,800 Speaker 2: men and women, and conservative men and liberal women right 556 00:29:10,840 --> 00:29:14,880 Speaker 2: who are liberal women are a lot more common and 557 00:29:14,960 --> 00:29:17,640 Speaker 2: more likely to support these kinds of bands, whereas conservative 558 00:29:17,640 --> 00:29:20,040 Speaker 2: men aren't, But that drags the overall numbers down. It's 559 00:29:20,080 --> 00:29:21,520 Speaker 2: just interesting to me that there seems to be less 560 00:29:21,520 --> 00:29:24,320 Speaker 2: support with gen Z over that they're closer to gen X. 561 00:29:25,000 --> 00:29:27,560 Speaker 2: Increasing security at the border fifty This is where there's 562 00:29:27,560 --> 00:29:29,840 Speaker 2: a huge gap. Fifty five percent of gen X for 563 00:29:29,880 --> 00:29:33,280 Speaker 2: increasing border security. Millennials and gen Z are at thirty 564 00:29:33,640 --> 00:29:36,760 Speaker 2: eight and thirty seven percent. So that's really like gen 565 00:29:37,000 --> 00:29:39,600 Speaker 2: X really seems to buy into the we need more 566 00:29:39,640 --> 00:29:43,760 Speaker 2: border security, whereas de utes are like, no, fuck that shit. 567 00:29:44,120 --> 00:29:45,720 Speaker 3: Yeah yeah. 568 00:29:45,840 --> 00:29:48,560 Speaker 2: Gen X or gen Z and millennials both tied at 569 00:29:48,560 --> 00:29:51,240 Speaker 2: forty eight percent support for a universal basic income. Only 570 00:29:51,320 --> 00:29:54,080 Speaker 2: thirty six percent of gen X supports this, again, another 571 00:29:54,160 --> 00:29:59,080 Speaker 2: significant gap. One interesting thing is that gen X and 572 00:29:59,200 --> 00:30:03,360 Speaker 2: millennials at eight and thirty six percent support reducing regulations 573 00:30:03,400 --> 00:30:07,280 Speaker 2: on businesses. Only thirty one percent of gen Z supports this. 574 00:30:07,520 --> 00:30:10,280 Speaker 2: That's a significant difference. I find that kind of interesting. 575 00:30:10,560 --> 00:30:11,840 Speaker 4: Yeah, I wonder how much of that. 576 00:30:11,960 --> 00:30:16,880 Speaker 1: Also is just like like like you are okay, you 577 00:30:16,920 --> 00:30:19,560 Speaker 1: are in, You're a zumer, You're never are you over 578 00:30:19,720 --> 00:30:20,760 Speaker 1: owning a business? 579 00:30:21,080 --> 00:30:23,880 Speaker 2: Like first off, thank you? I under what circumstances I 580 00:30:23,960 --> 00:30:27,200 Speaker 2: think it may it may be and I don't I 581 00:30:27,400 --> 00:30:29,240 Speaker 2: don't know that this has been studied. It may be 582 00:30:29,360 --> 00:30:33,160 Speaker 2: that because gen Z are so so many of them 583 00:30:33,200 --> 00:30:35,160 Speaker 2: want to be influencers to do some other kind of 584 00:30:35,240 --> 00:30:38,760 Speaker 2: job and like internet content creation that and a lot 585 00:30:38,800 --> 00:30:41,880 Speaker 2: of them have done kind of work, made some amount 586 00:30:41,880 --> 00:30:45,560 Speaker 2: of money in that field that tends to be independent 587 00:30:45,600 --> 00:30:49,720 Speaker 2: contractor work. And there's some pretty onerous tax regulations. You know, 588 00:30:49,720 --> 00:30:51,719 Speaker 2: if you've ever been an independent contract about how you've 589 00:30:51,720 --> 00:30:54,160 Speaker 2: got to pay taxes, it may have something to do 590 00:30:54,200 --> 00:30:56,800 Speaker 2: with that. I don't know though, Like I this hasn't 591 00:30:56,800 --> 00:30:59,000 Speaker 2: been broken down like granularly that I've seen, but I 592 00:30:59,000 --> 00:31:03,080 Speaker 2: did find that kind of entry. And then here's kind 593 00:31:03,080 --> 00:31:07,320 Speaker 2: of depressing but interesting reducing funding for law enforcement agencies. 594 00:31:07,600 --> 00:31:11,560 Speaker 2: Thirty four percent of millennials support that. Thirty percent of 595 00:31:11,600 --> 00:31:14,320 Speaker 2: gen Z supports that, which is enough of a gap 596 00:31:14,360 --> 00:31:17,880 Speaker 2: to suggest like might be somewhat less popular among gen 597 00:31:17,960 --> 00:31:21,200 Speaker 2: Z the millennials. Only eighteen percent of gen X feels 598 00:31:21,200 --> 00:31:24,760 Speaker 2: the same, which is a huge gap, and that is 599 00:31:24,840 --> 00:31:29,400 Speaker 2: kind of interesting to me. So yeah, yeah, well that's all. 600 00:31:29,000 --> 00:31:31,640 Speaker 1: I think There's one I think there's one like last 601 00:31:31,720 --> 00:31:36,560 Speaker 1: kind of interesting thing about this is that those numbers, 602 00:31:36,600 --> 00:31:38,760 Speaker 1: the numbers on like police funding and a lot of 603 00:31:38,760 --> 00:31:40,800 Speaker 1: the sort of like if you just look at the 604 00:31:40,880 --> 00:31:43,920 Speaker 1: graphs that were in the Washington Post article, a lot 605 00:31:43,960 --> 00:31:49,000 Speaker 1: of that is it looks a lot like there's there's 606 00:31:49,040 --> 00:31:51,040 Speaker 1: there's a giant spike dream the uprising, and then it 607 00:31:51,080 --> 00:31:53,560 Speaker 1: sort of like tails off after it. Yeah, and so 608 00:31:53,960 --> 00:31:55,360 Speaker 1: that's the thing that I think is like like that 609 00:31:55,400 --> 00:31:56,960 Speaker 1: I don't, you know, And this is I think a 610 00:31:57,040 --> 00:31:58,320 Speaker 1: thing I think is kind of important is like this, 611 00:31:58,480 --> 00:32:03,160 Speaker 1: this stuff is all malleable, and moment something happens, everyone, 612 00:32:03,640 --> 00:32:07,560 Speaker 1: everyone's beliefs change really quickly. Yeah, and that's the thing, 613 00:32:07,600 --> 00:32:09,640 Speaker 1: and like like that, that's that's the thing with these 614 00:32:09,680 --> 00:32:12,120 Speaker 1: sort of like you know, with with the sort of 615 00:32:12,160 --> 00:32:14,120 Speaker 1: Juambers and right Andrew Tates like yeah, like but people, 616 00:32:14,160 --> 00:32:17,120 Speaker 1: people's actual political beliefs and what they're willing to do 617 00:32:17,200 --> 00:32:20,640 Speaker 1: for them can change very very very quickly in moments 618 00:32:20,680 --> 00:32:23,760 Speaker 1: where they're sort of you know, I mean there's there's 619 00:32:23,800 --> 00:32:25,520 Speaker 1: a bunch of people getting shot by cops in the 620 00:32:25,520 --> 00:32:28,440 Speaker 1: street right right like that that that changes people really 621 00:32:28,440 --> 00:32:29,080 Speaker 1: really quickly. 622 00:32:29,760 --> 00:32:32,800 Speaker 2: And I think that's why the gap is so high 623 00:32:32,840 --> 00:32:35,920 Speaker 2: both between overall Americans, which are at twenty eight percent 624 00:32:35,960 --> 00:32:41,000 Speaker 2: for defunding police, and between Gen X and Gen Z millennials. 625 00:32:41,040 --> 00:32:44,000 Speaker 2: Is that a lot more Gen Z millennials people got 626 00:32:44,040 --> 00:32:46,640 Speaker 2: like beaten by the cops in twenty twenty, and that 627 00:32:46,840 --> 00:32:50,880 Speaker 2: this does show well, again it's an uphill battle. Most Americans, 628 00:32:51,240 --> 00:32:54,600 Speaker 2: a super majority of Americans do not support that way. 629 00:32:54,600 --> 00:32:57,800 Speaker 2: More young Americans do, and it's probably because so many 630 00:32:57,840 --> 00:32:59,080 Speaker 2: of us got our asses, yecked. 631 00:32:59,520 --> 00:33:01,520 Speaker 1: And I also I want to like, like, like if 632 00:33:01,520 --> 00:33:03,240 Speaker 1: if you look at what was like the numbers dream 633 00:33:03,320 --> 00:33:05,400 Speaker 1: the uprising, right, like the number of people who supported 634 00:33:05,400 --> 00:33:08,440 Speaker 1: the burning of the third presink was like fifty percent. Yeah, 635 00:33:08,480 --> 00:33:11,560 Speaker 1: so like these are things that change really quickly in 636 00:33:11,640 --> 00:33:13,520 Speaker 1: the moments too, and now we're in the sort of 637 00:33:13,600 --> 00:33:16,160 Speaker 1: long backlash and that's you know, and that's that's driving 638 00:33:16,280 --> 00:33:18,640 Speaker 1: like some of these numbers. But yeah, yeah, like don't it, 639 00:33:19,200 --> 00:33:22,000 Speaker 1: don't don't be cynical things. Things can and will get better. 640 00:33:22,480 --> 00:33:25,880 Speaker 2: Yeah, yes they will, and they there's a pretty dramatic difference. 641 00:33:25,960 --> 00:33:28,640 Speaker 2: Maybe it'll take a couple more of the general uprisings 642 00:33:28,640 --> 00:33:31,320 Speaker 2: where people get they're natiskick, which is not great to 643 00:33:31,400 --> 00:33:35,840 Speaker 2: think about, but like, these are pretty stark differences in 644 00:33:35,880 --> 00:33:38,520 Speaker 2: the generations, and I think that that's kind of worth 645 00:33:38,680 --> 00:33:41,000 Speaker 2: noting and I don't know, celebrating maybe the wrong term, 646 00:33:41,000 --> 00:33:44,120 Speaker 2: but I don't think it's pessimistic now in terms of 647 00:33:44,200 --> 00:33:45,960 Speaker 2: stuff that is pessimistic. I want to end on a 648 00:33:45,960 --> 00:33:48,400 Speaker 2: note of like where I kind of think some of 649 00:33:48,440 --> 00:33:52,680 Speaker 2: the lazy, dumb ass pundit brain on this is coming from, 650 00:33:52,720 --> 00:33:56,200 Speaker 2: and I maybe I'm wrong about this. But I have 651 00:33:56,280 --> 00:33:59,880 Speaker 2: a little conspiracy theory that involves AI because I did 652 00:34:00,160 --> 00:34:01,560 Speaker 2: kind of at the end of digging up a bunch 653 00:34:01,600 --> 00:34:03,440 Speaker 2: of these studies, reading through I don't know, like fifteen 654 00:34:03,760 --> 00:34:07,560 Speaker 2: articles or whatnot, and you know, the actual like entirety 655 00:34:07,600 --> 00:34:11,799 Speaker 2: of three or four different big surveys, I decided just 656 00:34:11,960 --> 00:34:14,279 Speaker 2: to hop onto one of the AI search engines that 657 00:34:14,320 --> 00:34:17,799 Speaker 2: I use occasionally that is usually not helpful, just to 658 00:34:17,840 --> 00:34:20,000 Speaker 2: see what it said. And I asked, like, what is 659 00:34:20,040 --> 00:34:23,439 Speaker 2: the most recent data on how young gen z men 660 00:34:23,880 --> 00:34:27,359 Speaker 2: are voting right? And it gave me mostly useless shit, 661 00:34:27,840 --> 00:34:31,160 Speaker 2: Like the resources were bad. But one of the things 662 00:34:31,200 --> 00:34:34,440 Speaker 2: that said, because it breaks down the different sources and 663 00:34:34,520 --> 00:34:36,920 Speaker 2: like summarizes them for you. So it says here the 664 00:34:36,960 --> 00:34:39,360 Speaker 2: Atlantic is kind of one of the sources. It recommends 665 00:34:39,440 --> 00:34:41,560 Speaker 2: the Atlantic Reporter that gen Z and millennials are more 666 00:34:41,640 --> 00:34:43,920 Speaker 2: likely to vote Republican. This could indicate a shift in 667 00:34:43,920 --> 00:34:47,279 Speaker 2: political leadings among these demographics. Now, the article that it 668 00:34:47,360 --> 00:34:49,920 Speaker 2: is linking there is an article called is gen Z 669 00:34:50,040 --> 00:34:52,800 Speaker 2: coming for the GOP? Not all young people are Democrats? 670 00:34:52,840 --> 00:34:55,239 Speaker 2: By Ronald Brownstein, And it does not say that, It 671 00:34:55,280 --> 00:34:58,279 Speaker 2: does not say anything like that. It certainly does not say, 672 00:34:59,080 --> 00:35:01,439 Speaker 2: and I will tell you what it fucking says, right, 673 00:35:01,880 --> 00:35:06,759 Speaker 2: because it's wildly fucking different. An analysis of previously unpublished 674 00:35:06,800 --> 00:35:09,800 Speaker 2: election data from Catalyst, a democratic targeting firm, by Michael 675 00:35:09,840 --> 00:35:13,719 Speaker 2: pod Orzer, a former political director for the AFLCIO, shows 676 00:35:13,760 --> 00:35:15,600 Speaker 2: that even the emergence of these new voters may not 677 00:35:15,680 --> 00:35:18,320 Speaker 2: break the larger political stalemate that has partitioned the country 678 00:35:18,320 --> 00:35:20,640 Speaker 2: in a seemingly immovable blocks of bread and blue states. 679 00:35:20,960 --> 00:35:24,400 Speaker 2: Podewzer's analysis of the Catalyst data, shared exclusively with The Atlantic, 680 00:35:24,400 --> 00:35:26,520 Speaker 2: found that over the past four elections, gen Z voters 681 00:35:26,520 --> 00:35:29,320 Speaker 2: have broken heavily for Democrats and blue states and provided 682 00:35:29,400 --> 00:35:32,239 Speaker 2: the party's solid margins and closely contested swing states. But 683 00:35:32,320 --> 00:35:35,360 Speaker 2: in red states with a few prominent exceptions, Podhorzer surprisingly 684 00:35:35,360 --> 00:35:38,359 Speaker 2: found that even gen Z voters are mostly supporting Republicans. Now, 685 00:35:38,440 --> 00:35:40,040 Speaker 2: when you dig into the data, first off, that does 686 00:35:40,040 --> 00:35:43,480 Speaker 2: not show that gen Z people are voting more for Republicans. 687 00:35:43,560 --> 00:35:46,000 Speaker 2: It's the opposite of that. The vast majority of them 688 00:35:46,000 --> 00:35:50,000 Speaker 2: are voting for Democrats, but in red states the number 689 00:35:50,000 --> 00:35:51,640 Speaker 2: and it's not finding in red states that gen Z 690 00:35:51,760 --> 00:35:54,799 Speaker 2: are more likely to support Republicans than previous generations. They 691 00:35:54,840 --> 00:35:58,759 Speaker 2: are more progressive than previous generations. They're just still majority 692 00:35:58,840 --> 00:36:03,040 Speaker 2: supporting Republicans in deep red states. Now again, if you 693 00:36:03,080 --> 00:36:05,239 Speaker 2: read that quote, it's also saying there are some red 694 00:36:05,280 --> 00:36:08,640 Speaker 2: states where gen z are voting overwhelmingly for Democrats, and 695 00:36:08,719 --> 00:36:13,719 Speaker 2: in purple states they are wildly progressive compared to previous generations. 696 00:36:13,719 --> 00:36:15,960 Speaker 2: It is, again the opposite of what that AI summary 697 00:36:16,080 --> 00:36:19,920 Speaker 2: is wondering how many lazy pundits are doing this because 698 00:36:19,920 --> 00:36:21,719 Speaker 2: they suck at shit and we're just like, oh, well, 699 00:36:21,719 --> 00:36:24,399 Speaker 2: the Atlantic says they're more republican. It's like, no, if 700 00:36:24,440 --> 00:36:26,480 Speaker 2: you read the article, it does not say that. It's 701 00:36:26,520 --> 00:36:27,480 Speaker 2: a pretty good article. 702 00:36:27,560 --> 00:36:30,719 Speaker 1: Yeah, well, and this is actually there's one thing I 703 00:36:30,719 --> 00:36:32,239 Speaker 1: want to mention about that polling data too, which is 704 00:36:32,239 --> 00:36:35,360 Speaker 1: that the twenty twenty two election was really weird because 705 00:36:35,520 --> 00:36:38,000 Speaker 1: the twenty twenty two election was supposed to be it 706 00:36:38,040 --> 00:36:40,280 Speaker 1: was supposed to be a red wave election, and yeah, 707 00:36:40,320 --> 00:36:43,120 Speaker 1: there actually was one, but it was it only happened. 708 00:36:43,400 --> 00:36:46,680 Speaker 1: It happened in deep red states. Yes, and it happened 709 00:36:46,719 --> 00:36:48,319 Speaker 1: in New York. And that that has to do with 710 00:36:48,320 --> 00:36:50,640 Speaker 1: the New York media market, which is part of also 711 00:36:50,640 --> 00:36:53,160 Speaker 1: why all these people's brains have been completely destroyed. Yes, 712 00:36:53,280 --> 00:36:57,200 Speaker 1: but I don't actually like it's actually genuinely unclear to 713 00:36:57,239 --> 00:37:00,719 Speaker 1: me that this is even predictive of how those same 714 00:37:00,760 --> 00:37:02,560 Speaker 1: people in deep red states are going to vote in 715 00:37:02,560 --> 00:37:05,960 Speaker 1: like the next like four to eight years, because that 716 00:37:06,120 --> 00:37:07,960 Speaker 1: was because again this this this, this was a mid 717 00:37:08,040 --> 00:37:10,640 Speaker 1: term election with a Democratic president. That is, when you're 718 00:37:10,680 --> 00:37:14,279 Speaker 1: supposed to have the opposition like win a bunch of 719 00:37:14,320 --> 00:37:17,200 Speaker 1: seats and stuff like that, and like it didn't go 720 00:37:17,320 --> 00:37:19,000 Speaker 1: the way it was supposed to and so and so 721 00:37:19,239 --> 00:37:22,279 Speaker 1: I think it's actually even that part is more is 722 00:37:22,400 --> 00:37:25,479 Speaker 1: more like even the tiny note of it where they're 723 00:37:25,480 --> 00:37:29,839 Speaker 1: like more like gen Z people voted Republicans, Like I, 724 00:37:29,840 --> 00:37:31,800 Speaker 1: I don't know, I don't even know if that's gonna 725 00:37:31,800 --> 00:37:34,960 Speaker 1: hold in the long run now, but all of these 726 00:37:35,000 --> 00:37:35,400 Speaker 1: pun like. 727 00:37:35,400 --> 00:37:37,239 Speaker 4: Yeah, the fact that they probably are just reading. 728 00:37:37,000 --> 00:37:42,360 Speaker 2: AIS, Yeah, I wonder just like coming across that dog 729 00:37:42,440 --> 00:37:46,560 Speaker 2: shit suthing like just completely wrong, very funny, made me 730 00:37:46,600 --> 00:37:49,120 Speaker 2: feel a little bit better about the computers coming for us. 731 00:37:49,160 --> 00:37:51,839 Speaker 2: All made me feel a little bit worse about the 732 00:37:51,880 --> 00:37:55,759 Speaker 2: intelligence of pundits. But yeah, it's you know, and one 733 00:37:55,760 --> 00:37:57,880 Speaker 2: of the things that is kind of if you're concerned 734 00:37:57,880 --> 00:38:01,040 Speaker 2: about twenty twenty four. That is a worthwhile concern, and 735 00:38:01,040 --> 00:38:05,440 Speaker 2: that is a real problem is that while young people 736 00:38:05,440 --> 00:38:09,560 Speaker 2: are overwhelmingly progressive as voters, this is not evenly distributed 737 00:38:09,560 --> 00:38:12,759 Speaker 2: across the country, and a lot of the gains in 738 00:38:12,880 --> 00:38:15,600 Speaker 2: voters that progressives have seen are going to be clustered 739 00:38:15,600 --> 00:38:17,960 Speaker 2: in states that were already overwhelmingly blue, and when it 740 00:38:18,040 --> 00:38:23,560 Speaker 2: comes to an a presidential election, those are wasted votes, right, 741 00:38:23,960 --> 00:38:25,360 Speaker 2: And a lot like that this and this is a 742 00:38:25,400 --> 00:38:28,360 Speaker 2: problem that the Republicans dealt with a lot during the 743 00:38:28,360 --> 00:38:31,720 Speaker 2: Obama years, right where there would be massively more Republican voters, 744 00:38:31,760 --> 00:38:33,399 Speaker 2: but they would be clustered in these areas that dims 745 00:38:33,400 --> 00:38:35,439 Speaker 2: were never going to win, and so it didn't help 746 00:38:35,480 --> 00:38:36,480 Speaker 2: them electorally. 747 00:38:36,640 --> 00:38:36,799 Speaker 1: Right. 748 00:38:37,960 --> 00:38:40,680 Speaker 2: That is kind of worth noting. It's potentially a thing. 749 00:38:40,800 --> 00:38:43,560 Speaker 2: Although a lot of the gains when people are freaking 750 00:38:43,560 --> 00:38:46,440 Speaker 2: out about like, oh, you know, Biden's numbers among non 751 00:38:46,440 --> 00:38:50,360 Speaker 2: white voters have gotten worse, that is probably true, almost 752 00:38:50,360 --> 00:38:53,000 Speaker 2: certainly true to some extent, But a lot of those 753 00:38:53,120 --> 00:38:55,880 Speaker 2: vote gains are clustered in areas that were so heavily 754 00:38:55,960 --> 00:38:58,680 Speaker 2: read it may not have any impact on the health. 755 00:38:58,520 --> 00:38:59,400 Speaker 4: Of all electorals. 756 00:39:00,280 --> 00:39:00,560 Speaker 2: The one. 757 00:39:00,640 --> 00:39:03,960 Speaker 1: The one place for that matter, actually does matter is Michigan, yesca. 758 00:39:04,160 --> 00:39:07,399 Speaker 1: And Michigan has his huge Muslim population who are unbelievably 759 00:39:07,400 --> 00:39:10,600 Speaker 1: pissed at Biden for you know, offering them the deal 760 00:39:10,600 --> 00:39:12,480 Speaker 1: We're going to murder your family and also you have 761 00:39:12,520 --> 00:39:13,839 Speaker 1: to vote for us, which is. 762 00:39:13,840 --> 00:39:16,359 Speaker 4: Like I'm not doing the Will Stancil thing and saying 763 00:39:16,400 --> 00:39:18,879 Speaker 4: there's nothing worry about. No, I'm saying there are places 764 00:39:18,880 --> 00:39:20,040 Speaker 4: where it does matter yere. 765 00:39:20,120 --> 00:39:23,719 Speaker 2: But like, yeah, yeah, it's unclear, and a lot of 766 00:39:23,760 --> 00:39:25,520 Speaker 2: what may be happen, well, a lot of what is 767 00:39:25,560 --> 00:39:27,960 Speaker 2: certainly happening, although this doesn't mean that there won't be 768 00:39:27,960 --> 00:39:29,400 Speaker 2: because I think there's a good chance there will be 769 00:39:29,400 --> 00:39:32,240 Speaker 2: an electoral impact. But a lot of what is objectively happening, 770 00:39:33,040 --> 00:39:35,880 Speaker 2: both on the left and the right, is increasing numbers 771 00:39:36,000 --> 00:39:39,040 Speaker 2: of voters who are in states that would never, never 772 00:39:39,080 --> 00:39:42,200 Speaker 2: going to be in play electoral Yeah, right, the electoral 773 00:39:42,200 --> 00:39:43,279 Speaker 2: college is bullshit, you know. 774 00:39:43,520 --> 00:39:43,719 Speaker 4: Yeah. 775 00:39:43,760 --> 00:39:45,839 Speaker 1: It's like like I've I've lived in Illinois my entire life. 776 00:39:45,880 --> 00:39:48,160 Speaker 1: It is not possible for me to cast a vote 777 00:39:48,160 --> 00:39:51,520 Speaker 1: that matters. Yeah, Like it just isn't. It's just how 778 00:39:51,560 --> 00:39:53,600 Speaker 1: the system works, right, It's like it's a great great, 779 00:39:53,640 --> 00:39:54,520 Speaker 1: great job, great job. 780 00:39:55,200 --> 00:39:56,759 Speaker 4: Yeah, he wrote the Constitution. 781 00:39:57,520 --> 00:40:00,520 Speaker 2: So anyway, Uh, I think that's that's about enough to 782 00:40:00,520 --> 00:40:04,640 Speaker 2: get into. I hope this has been edifying and useful 783 00:40:04,680 --> 00:40:07,359 Speaker 2: to people. Uh Mia, you got anything else to say 784 00:40:07,400 --> 00:40:08,319 Speaker 2: before we roll out here? 785 00:40:09,200 --> 00:40:13,040 Speaker 1: Uh Molotov twenty twenty four, just like Molotov twenty twenty 786 00:40:13,480 --> 00:40:17,080 Speaker 1: Uh yeah, don't the Washington Post. 787 00:40:18,600 --> 00:40:18,880 Speaker 4: Okay. 788 00:40:18,880 --> 00:40:20,560 Speaker 1: I want to close in the note that the Washington 789 00:40:20,560 --> 00:40:23,279 Speaker 1: Post editorial board managed to find the one socialist in 790 00:40:23,320 --> 00:40:26,880 Speaker 1: the entire US who's anti abortion maker, a stat maker, 791 00:40:26,960 --> 00:40:28,239 Speaker 1: a writer for them. 792 00:40:28,400 --> 00:40:33,000 Speaker 2: So last yeah, but who are you speaking for? Why 793 00:40:33,120 --> 00:40:36,799 Speaker 2: is it important that we have this voice of a 794 00:40:36,840 --> 00:40:39,040 Speaker 2: person like fucking hell? 795 00:40:39,680 --> 00:40:39,879 Speaker 1: Yeah? 796 00:40:39,960 --> 00:40:44,799 Speaker 2: God, it's tiring. Speaking of tiring, I'm tired. So now 797 00:40:44,800 --> 00:40:48,000 Speaker 2: we're done. Goodbye. 798 00:40:50,600 --> 00:40:53,120 Speaker 4: It could Happen here as a production of cool Zone Media. 799 00:40:53,200 --> 00:40:55,880 Speaker 2: For more podcasts from cool Zone Media, visit our website 800 00:40:55,920 --> 00:40:58,120 Speaker 2: cool zonemedia dot com, or check us out on the 801 00:40:58,160 --> 00:41:01,640 Speaker 2: iHeartRadio app, Apple Podcasts, or wherever you listen to podcasts. 802 00:41:02,160 --> 00:41:04,280 Speaker 2: You can find sources for It Could Happen Here, updated 803 00:41:04,360 --> 00:41:07,520 Speaker 2: monthly at coolzonemedia dot com slash sources. 804 00:41:07,560 --> 00:41:08,400 Speaker 4: Thanks for listening,