1 00:00:17,480 --> 00:00:22,759 Speaker 1: Hey, and welcome to What Future. I'm your host, Joshua Topolski. Well, 2 00:00:22,800 --> 00:00:25,800 Speaker 1: I'm back. I haven't been around for a little while. 3 00:00:25,800 --> 00:00:29,400 Speaker 1: I gotta tell you the listener. I got to confine 4 00:00:29,440 --> 00:00:33,760 Speaker 1: in you that I have been dealing with some family business. 5 00:00:34,600 --> 00:00:37,680 Speaker 1: My family is of course in the mafia and no 6 00:00:38,159 --> 00:00:41,120 Speaker 1: my dad broke his hip and I had to go 7 00:00:41,200 --> 00:00:44,319 Speaker 1: to Pittsburgh and help out for a little bit. And 8 00:00:44,560 --> 00:00:47,879 Speaker 1: during that period I had to walk away from all 9 00:00:47,880 --> 00:00:52,920 Speaker 1: of my many many projects, including including this podcast, which 10 00:00:52,960 --> 00:00:55,880 Speaker 1: is very hard, and I barely looked at the internet. 11 00:00:56,200 --> 00:00:58,640 Speaker 1: I barely read the news. I did watch a lot 12 00:00:58,680 --> 00:01:02,040 Speaker 1: of nightly news in Pittsburgh, which is where my parents live, 13 00:01:02,080 --> 00:01:04,280 Speaker 1: and they love watching the news. They put it on 14 00:01:04,319 --> 00:01:08,240 Speaker 1: at like four o'clock because apparently there's just news, not CNN, 15 00:01:08,280 --> 00:01:10,880 Speaker 1: but like local news. You can start watching it, I 16 00:01:10,880 --> 00:01:12,600 Speaker 1: don't know four in the afternoon. They would put on 17 00:01:12,600 --> 00:01:14,920 Speaker 1: the news at four and then it would just be 18 00:01:15,000 --> 00:01:19,480 Speaker 1: on until ten or later, and it was really just 19 00:01:19,520 --> 00:01:22,200 Speaker 1: all about local stuff happening. So I learned a lot 20 00:01:22,200 --> 00:01:25,920 Speaker 1: about the many homicides that took place in Pittsburgh while 21 00:01:25,920 --> 00:01:28,080 Speaker 1: I was there, and I wasn't responsible for any of 22 00:01:28,120 --> 00:01:31,400 Speaker 1: them for the record. But anyhow, but I'm back and 23 00:01:31,400 --> 00:01:33,600 Speaker 1: it's so good. It's so good to be back because 24 00:01:33,640 --> 00:01:36,600 Speaker 1: I really have missed rambling like this. I haven't been 25 00:01:36,640 --> 00:01:39,240 Speaker 1: able to ramble to anybody. My parents when we're around, 26 00:01:39,400 --> 00:01:41,680 Speaker 1: they do most of the rambling, so you know, it's 27 00:01:41,680 --> 00:01:45,760 Speaker 1: a very different environment for me. Anyhow, we have a 28 00:01:45,840 --> 00:01:48,400 Speaker 1: great showed it. I'm very excited. I have to say, 29 00:01:48,480 --> 00:01:50,640 Speaker 1: I have been excited to have this conversation. We had 30 00:01:50,640 --> 00:01:53,160 Speaker 1: to move it a bunch of times, which of course 31 00:01:53,280 --> 00:01:57,680 Speaker 1: pained me emotionally. But we have an amazing guest today, 32 00:01:57,760 --> 00:01:59,920 Speaker 1: Philip Bump, who is a national calumnist for the Washing 33 00:02:00,000 --> 00:02:03,200 Speaker 1: and Impost. He also has a newsletter called how to 34 00:02:03,200 --> 00:02:05,360 Speaker 1: Read This Chart. He's kind of a data genius, and 35 00:02:05,400 --> 00:02:08,600 Speaker 1: he has written a book called The Aftermath about the 36 00:02:08,720 --> 00:02:13,040 Speaker 1: Baby Boomers and what they've done to America. So let's 37 00:02:13,040 --> 00:02:15,960 Speaker 1: not waste one minute. Let's get right into it and 38 00:02:16,080 --> 00:02:34,280 Speaker 1: talk to Philip. I want to tell the listener that 39 00:02:34,320 --> 00:02:38,400 Speaker 1: Philip has been instructed to sit as still as possible 40 00:02:38,400 --> 00:02:41,320 Speaker 1: because his mic is picking up some noises in the room, 41 00:02:41,400 --> 00:02:44,519 Speaker 1: some fabric noises from his shirt moving, or the many 42 00:02:44,560 --> 00:02:46,600 Speaker 1: flags in the background. We're not sure what it is. 43 00:02:46,840 --> 00:02:48,960 Speaker 1: It's something. Yeah. You know, if you end up seeing 44 00:02:48,960 --> 00:02:52,240 Speaker 1: any video from this and you're thinking, why is Philip 45 00:02:52,320 --> 00:02:55,440 Speaker 1: sitting so still, it's just in service of the audio quality. 46 00:02:55,720 --> 00:02:57,840 Speaker 1: All right, So I thank you for coming on the show. 47 00:02:57,880 --> 00:03:00,239 Speaker 1: First off, of course, I knew you're running around because 48 00:03:00,240 --> 00:03:01,480 Speaker 1: you've got a new book and you've got to talk 49 00:03:01,480 --> 00:03:03,240 Speaker 1: to a lot of people. I do appreciate you taking 50 00:03:03,280 --> 00:03:05,960 Speaker 1: the time, of course. But before we get into the 51 00:03:05,960 --> 00:03:08,880 Speaker 1: conversation that I would like to have with you, can 52 00:03:08,880 --> 00:03:12,160 Speaker 1: we talk about how much sleep you had last night? Sure? 53 00:03:12,600 --> 00:03:15,160 Speaker 1: Do you know how many hours you got? Actually? Yeah, 54 00:03:15,240 --> 00:03:18,480 Speaker 1: last night was unusual because I took my kids into 55 00:03:18,520 --> 00:03:20,160 Speaker 1: the city and we spent all day in the city, 56 00:03:20,600 --> 00:03:22,799 Speaker 1: took the train in, and you know, it was an 57 00:03:22,800 --> 00:03:24,760 Speaker 1: excursion a life of which we haven't usually had. We 58 00:03:24,760 --> 00:03:26,520 Speaker 1: have a three year old who usually naps, and so 59 00:03:27,040 --> 00:03:29,120 Speaker 1: we all were very worn out. So I got more 60 00:03:29,120 --> 00:03:31,399 Speaker 1: than usual last night, which is probably about seven hours. 61 00:03:31,520 --> 00:03:34,560 Speaker 1: Seven hours is not even what they recommend. That's still 62 00:03:34,560 --> 00:03:36,840 Speaker 1: a short night. Yeah, I don't know what time to 63 00:03:36,960 --> 00:03:39,120 Speaker 1: usually go to sleep, twelve to twelve thirty, Okay, so 64 00:03:39,160 --> 00:03:40,880 Speaker 1: you're kind of a night out a lot of parents 65 00:03:40,880 --> 00:03:42,840 Speaker 1: go to bed very early. Of course you're a news 66 00:03:42,880 --> 00:03:45,320 Speaker 1: persons that might have something to do with your sleeping habits. 67 00:03:45,320 --> 00:03:47,600 Speaker 1: But I stay up very late and wake up very early, 68 00:03:47,640 --> 00:03:49,440 Speaker 1: and I think it's terribly unhealthy. What time do you 69 00:03:49,520 --> 00:03:52,640 Speaker 1: usually wake up? Quarter to seven. We're on a sort 70 00:03:52,640 --> 00:03:54,480 Speaker 1: of similar schedule, though you're probably getting a little bit 71 00:03:54,520 --> 00:03:57,400 Speaker 1: more sleep than maybe because you seem I don't know, 72 00:03:57,520 --> 00:04:01,960 Speaker 1: better adjusted. Well, you know, we also have the occasional 73 00:04:02,280 --> 00:04:05,360 Speaker 1: kid having a nightmare, or dog howling, coyotes and things 74 00:04:05,360 --> 00:04:06,680 Speaker 1: alone those lines, Right, do you have a lot of 75 00:04:06,680 --> 00:04:09,560 Speaker 1: coyotes around your house, Well, you seem to the dog 76 00:04:09,600 --> 00:04:12,520 Speaker 1: picks them up. I can understand people be very upset 77 00:04:12,520 --> 00:04:15,680 Speaker 1: about that sound or a dog. Our dog starts starts 78 00:04:15,680 --> 00:04:19,440 Speaker 1: barking as well. So you're a calmness at the Washington Post. 79 00:04:19,520 --> 00:04:22,240 Speaker 1: A lot of your stuff is data based, right, and 80 00:04:22,320 --> 00:04:25,400 Speaker 1: you've been doing this for a long time. You tell 81 00:04:25,520 --> 00:04:28,360 Speaker 1: stories through data very often, or help to sort of 82 00:04:28,360 --> 00:04:32,960 Speaker 1: break down stories using data or correct people for misunderstanding data. Actually, 83 00:04:32,960 --> 00:04:35,360 Speaker 1: I see you do this a lot on Twitter, or 84 00:04:35,400 --> 00:04:36,680 Speaker 1: I feel like I see you do this a lot 85 00:04:36,680 --> 00:04:40,159 Speaker 1: where you sort of trying to explains something to people 86 00:04:40,160 --> 00:04:42,880 Speaker 1: that seems to have been misinterpreted. I mean, at this 87 00:04:42,960 --> 00:04:45,240 Speaker 1: point in time, do you feel like you're are you 88 00:04:45,279 --> 00:04:49,360 Speaker 1: getting through to people? Is it working? Because I feel 89 00:04:49,360 --> 00:04:51,880 Speaker 1: like we're not. We're not paying attention to the facts 90 00:04:51,920 --> 00:04:55,919 Speaker 1: that much like it. Is it frustrating for you? I 91 00:04:55,960 --> 00:04:59,400 Speaker 1: mean yeah, I mean, look, absolutely, there are occasions on 92 00:04:59,440 --> 00:05:03,200 Speaker 1: which it is frustrating. I mean, the the the extent 93 00:05:03,360 --> 00:05:08,320 Speaker 1: to which Americans broadly are willing to set aside very 94 00:05:08,400 --> 00:05:14,040 Speaker 1: obvious logical leaps in favor of the rhetoric that they 95 00:05:14,080 --> 00:05:16,440 Speaker 1: would like to believe is sort of astonishing. I mean, 96 00:05:16,480 --> 00:05:18,760 Speaker 1: the fact that, you know, Donald Trump could spend as 97 00:05:18,800 --> 00:05:21,200 Speaker 1: much times he did lying about a voter front and 98 00:05:21,240 --> 00:05:23,479 Speaker 1: there's obviously nothing to it. The fact that the next 99 00:05:23,520 --> 00:05:26,840 Speaker 1: DECUSA could have millions of dollars of revenue coming for 100 00:05:27,000 --> 00:05:30,279 Speaker 1: his terrible and totally idiotic movie two Thousand Mules. You know, 101 00:05:30,360 --> 00:05:33,160 Speaker 1: these are these are sort of the exemplars of the type. 102 00:05:33,160 --> 00:05:36,840 Speaker 1: But yeah, on a daily basis, we get nonsensical claims 103 00:05:36,839 --> 00:05:39,520 Speaker 1: about data which are very easily disproven. It's just but 104 00:05:39,600 --> 00:05:42,360 Speaker 1: people have little to no interest in having them disprove it. 105 00:05:42,640 --> 00:05:45,240 Speaker 1: You know, this is it's true, very much more on 106 00:05:45,279 --> 00:05:47,440 Speaker 1: the right. There are instances on the left as well, 107 00:05:47,480 --> 00:05:50,400 Speaker 1: but it's just it can be frustrating. But I really 108 00:05:50,400 --> 00:05:53,279 Speaker 1: do feel like my role to some extent is simply 109 00:05:53,320 --> 00:05:55,400 Speaker 1: to be the voice of reason, even if people aren't 110 00:05:55,400 --> 00:05:58,600 Speaker 1: necessarily listening to it. Right, That's a tough role. I mean, 111 00:05:58,640 --> 00:06:00,520 Speaker 1: I would be very frustrated by it. I think it's 112 00:06:00,560 --> 00:06:03,200 Speaker 1: like in the same way I would be bad at 113 00:06:03,240 --> 00:06:05,760 Speaker 1: being a waiter because I would eventually have to wait 114 00:06:05,800 --> 00:06:08,800 Speaker 1: on someone like me. You know. I think trying to 115 00:06:08,839 --> 00:06:11,440 Speaker 1: convince people over and over again in the particular way 116 00:06:11,480 --> 00:06:13,360 Speaker 1: that you do, which is like very fact based, right, 117 00:06:13,480 --> 00:06:20,159 Speaker 1: very database, which often shouldn't be up for debate, is like, yeah, 118 00:06:20,200 --> 00:06:23,560 Speaker 1: widely and loudly debated. I got into an argument with 119 00:06:23,600 --> 00:06:26,440 Speaker 1: somebody when I was in California and I was at 120 00:06:26,440 --> 00:06:29,320 Speaker 1: a bar and somebody started talking about, you know, COVID 121 00:06:29,360 --> 00:06:31,440 Speaker 1: vaccines or whatever and that they didn't do anything. And 122 00:06:32,080 --> 00:06:34,279 Speaker 1: I don't know why I decided to enter the conversation 123 00:06:34,320 --> 00:06:35,760 Speaker 1: the guy. It's like, there were four people at the 124 00:06:35,760 --> 00:06:37,160 Speaker 1: bar and he was just happened to be sitting next 125 00:06:37,200 --> 00:06:39,120 Speaker 1: to me, and I started talking about the data of 126 00:06:39,200 --> 00:06:41,760 Speaker 1: if you look at you know, death rate of unvaccinated 127 00:06:41,880 --> 00:06:44,320 Speaker 1: versus vaccinated. Very early on, it was pretty clear like 128 00:06:44,360 --> 00:06:47,480 Speaker 1: there's a correlation, which seems to be a correlation between 129 00:06:47,520 --> 00:06:50,159 Speaker 1: getting vaccinated and not dying. I feel like if I 130 00:06:50,160 --> 00:06:52,240 Speaker 1: had to do that as a job, I would I 131 00:06:52,360 --> 00:06:54,560 Speaker 1: kind of go crazy. Well, I mean, but part of 132 00:06:54,560 --> 00:06:57,240 Speaker 1: the problem, honestly, is that I spend a lot of 133 00:06:57,240 --> 00:06:59,799 Speaker 1: time and energy writing pieces for the posts that explore 134 00:06:59,839 --> 00:07:01,920 Speaker 1: the stuff, and then I'll tweet about it, and then 135 00:07:01,920 --> 00:07:03,640 Speaker 1: people will respond to the tweet and not getting to 136 00:07:03,680 --> 00:07:05,760 Speaker 1: any of the actual analysis, and they'll be like, well, 137 00:07:05,760 --> 00:07:07,520 Speaker 1: what blah blah blant. It's like, well, look click the 138 00:07:07,520 --> 00:07:10,640 Speaker 1: link it you'll see like that's accounted. You know. The 139 00:07:10,640 --> 00:07:12,600 Speaker 1: exception here being that I did this really the only 140 00:07:12,640 --> 00:07:14,480 Speaker 1: time I've ever done a Twitter thread is I pulled 141 00:07:14,480 --> 00:07:16,280 Speaker 1: out a lot of my stuff on two thousand mules 142 00:07:16,280 --> 00:07:18,400 Speaker 1: just to be like, you know, to have this benchmark 143 00:07:18,440 --> 00:07:21,040 Speaker 1: of here are all the reasons two thousand mules is nonsense. 144 00:07:21,280 --> 00:07:23,480 Speaker 1: And even then people wouldn't read further in the thread. 145 00:07:23,520 --> 00:07:25,640 Speaker 1: They'd respond to like the first one like you obviously 146 00:07:25,720 --> 00:07:27,679 Speaker 1: haven't seen the movie and show. It's just like social 147 00:07:27,720 --> 00:07:30,600 Speaker 1: media in particular make this worse I can imagine being 148 00:07:30,640 --> 00:07:33,240 Speaker 1: in a bar doesn't necessarily help either. Well, you know, 149 00:07:33,320 --> 00:07:35,800 Speaker 1: the thing about it is people are less bold in person. 150 00:07:36,000 --> 00:07:38,240 Speaker 1: That's true. I mean, you know, not to go down 151 00:07:38,320 --> 00:07:40,880 Speaker 1: a social media rabbit hole or anything. But in fact, 152 00:07:40,920 --> 00:07:42,520 Speaker 1: I just looked at Twitter for the first time in 153 00:07:43,680 --> 00:07:45,920 Speaker 1: actually in like kind of several days. I feel like, 154 00:07:46,000 --> 00:07:47,760 Speaker 1: or at least I haven't been looking at it very much, 155 00:07:47,800 --> 00:07:50,960 Speaker 1: and sort of wild what's going on there. It's kind 156 00:07:51,000 --> 00:07:54,880 Speaker 1: of like it's really a strange experience now. But yeah, 157 00:07:54,880 --> 00:07:57,520 Speaker 1: but I just think people are very bold on social media. 158 00:07:57,560 --> 00:08:00,880 Speaker 1: I mean it's classic internet stuff, right, there's no consequences really, 159 00:08:00,920 --> 00:08:03,240 Speaker 1: like you can say anything and do anything, and what 160 00:08:03,280 --> 00:08:05,520 Speaker 1: are people going to do? They're not gonna you know, 161 00:08:05,560 --> 00:08:08,680 Speaker 1: there's no there's no physical barrier, right, and in person 162 00:08:08,840 --> 00:08:12,320 Speaker 1: people are usually like you have to consider just I 163 00:08:12,320 --> 00:08:14,120 Speaker 1: don't know, what is it that feeling of being in 164 00:08:14,120 --> 00:08:16,320 Speaker 1: a room with somebody and making people uncomfortable, Like people 165 00:08:16,360 --> 00:08:17,680 Speaker 1: don't want to do that a lot of the time, 166 00:08:17,800 --> 00:08:19,520 Speaker 1: or they don't want to worry that they get somebody 167 00:08:19,520 --> 00:08:22,520 Speaker 1: angry enough that they get you know, punched in the 168 00:08:22,520 --> 00:08:25,559 Speaker 1: face exactly. Not I I would be the one getting 169 00:08:25,560 --> 00:08:27,640 Speaker 1: punched in the face. Just to be clear, for the rector, 170 00:08:28,200 --> 00:08:30,800 Speaker 1: I wouldn't be punching anybody. But so you've written a 171 00:08:30,800 --> 00:08:34,120 Speaker 1: book called The Aftermath. Yes, well, I should say I 172 00:08:34,160 --> 00:08:36,959 Speaker 1: have not read the book, and that's on me though. 173 00:08:36,960 --> 00:08:38,679 Speaker 1: I have been in Pittsburgh for the last two weeks 174 00:08:38,720 --> 00:08:41,120 Speaker 1: dealing with some stuff, so I have not had a chance. 175 00:08:41,360 --> 00:08:42,960 Speaker 1: And we were trying to schedule stop and I thought, well, 176 00:08:42,960 --> 00:08:45,040 Speaker 1: I'm going to read it, or at least skim it, 177 00:08:45,160 --> 00:08:47,400 Speaker 1: you know, so I know what I'm talking about. So 178 00:08:47,480 --> 00:08:50,600 Speaker 1: I will join. If there's anybody listening to this who 179 00:08:50,640 --> 00:08:52,520 Speaker 1: has no idea what the book is about, could you 180 00:08:52,559 --> 00:08:55,120 Speaker 1: talk about what the book is about? Sure? So the 181 00:08:55,160 --> 00:08:59,160 Speaker 1: Aftermath is I realized a couple of years ago that 182 00:08:59,200 --> 00:09:02,800 Speaker 1: we were going through this very tumultuous period in politics 183 00:09:02,120 --> 00:09:06,480 Speaker 1: and culture in particular, and that we are also going 184 00:09:06,520 --> 00:09:09,120 Speaker 1: through this transition with the baby boom, that the baby 185 00:09:09,160 --> 00:09:12,679 Speaker 1: boomers started going into retirement, and so I decided I 186 00:09:12,679 --> 00:09:14,640 Speaker 1: wanted to look at the extent to which those things 187 00:09:14,760 --> 00:09:17,400 Speaker 1: might overlap. And what I realized as I was researching 188 00:09:17,400 --> 00:09:19,640 Speaker 1: the book is there's an enormous amount of overlap. That 189 00:09:19,920 --> 00:09:22,120 Speaker 1: there are a lot of characteristics of the baby boom, 190 00:09:22,160 --> 00:09:24,839 Speaker 1: and that the sheer scale of the baby Boom, which 191 00:09:24,840 --> 00:09:28,280 Speaker 1: I think people tend to underestimate or not recognize, really 192 00:09:28,320 --> 00:09:31,280 Speaker 1: helps to find the ways in which American politics and 193 00:09:31,480 --> 00:09:36,280 Speaker 1: economics and culture are all contributing to are all seeing 194 00:09:36,400 --> 00:09:40,080 Speaker 1: this same this level of tension between old and young 195 00:09:40,640 --> 00:09:43,120 Speaker 1: that manifests in a lot of different other demographic ways. 196 00:09:43,120 --> 00:09:45,200 Speaker 1: And so the book is an exploration of both what 197 00:09:45,360 --> 00:09:47,520 Speaker 1: this moment looks like, how it's driven to a large 198 00:09:47,559 --> 00:09:50,960 Speaker 1: extent by what the baby Boom is, but then also 199 00:09:51,080 --> 00:09:53,480 Speaker 1: what happens after the baby Boom is gone, which won't 200 00:09:53,480 --> 00:09:55,240 Speaker 1: happen for decades, and the subheads to the last days 201 00:09:55,280 --> 00:09:57,760 Speaker 1: of the Baby future Power from America. But it's really 202 00:09:57,800 --> 00:09:59,880 Speaker 1: an exploitation and basically what happens over the next several 203 00:10:00,240 --> 00:10:02,400 Speaker 1: is as the baby Boom loses its script on the 204 00:10:02,400 --> 00:10:05,640 Speaker 1: power that it's held since you know, the nineteen fifties. Right, Okay, 205 00:10:05,720 --> 00:10:07,600 Speaker 1: there's a lot there, but that's along. But let me 206 00:10:07,640 --> 00:10:09,000 Speaker 1: just I want to back up and talk about the 207 00:10:09,000 --> 00:10:12,680 Speaker 1: baby boomers for a second. Define a baby boomer. Sure, 208 00:10:12,880 --> 00:10:14,760 Speaker 1: you know, if for someone who's listening who maybe does 209 00:10:14,800 --> 00:10:17,040 Speaker 1: not know, give me the kind of stock definition of 210 00:10:17,040 --> 00:10:20,319 Speaker 1: a baby boomer. Yeah, so a baby boomer is someone 211 00:10:20,320 --> 00:10:22,839 Speaker 1: who's born between nineteen forty six and nineteen sixty four. 212 00:10:22,920 --> 00:10:25,760 Speaker 1: And the reason that's important is twofold. The first is 213 00:10:25,800 --> 00:10:30,319 Speaker 1: that the baby boom is defined by those births. So 214 00:10:30,400 --> 00:10:32,920 Speaker 1: this is not just a you know, am gen X 215 00:10:32,960 --> 00:10:35,480 Speaker 1: because I was born in this general range of years. 216 00:10:35,480 --> 00:10:37,240 Speaker 1: And this is what we call is this is a 217 00:10:37,320 --> 00:10:40,480 Speaker 1: hard thing that the demographers that the Census Bureau said, 218 00:10:40,520 --> 00:10:43,920 Speaker 1: this is a defined and distinct generation that is identifiable, 219 00:10:43,920 --> 00:10:46,240 Speaker 1: will wipe the search in births, and so it's actually, 220 00:10:46,320 --> 00:10:48,280 Speaker 1: you know, we include anyone who's born in forty six 221 00:10:48,640 --> 00:10:51,360 Speaker 1: through sixty four, even though demographers actually see the boom 222 00:10:51,480 --> 00:10:53,040 Speaker 1: starting sort of in the middle of forty six and 223 00:10:53,120 --> 00:10:55,640 Speaker 1: ending in about the middle of sixty four. So you know, 224 00:10:55,720 --> 00:10:58,080 Speaker 1: there's some vagueness there, but the baby boom is a 225 00:10:58,160 --> 00:11:01,439 Speaker 1: clear event, demographic event that happened with this surgeon worse. 226 00:11:01,520 --> 00:11:03,480 Speaker 1: And the statistic I like the site to give some 227 00:11:03,520 --> 00:11:05,760 Speaker 1: sense of perspective is that there were one hundred and 228 00:11:05,760 --> 00:11:08,400 Speaker 1: forty million Americans in nineteen forty five. That's the total 229 00:11:08,400 --> 00:11:10,800 Speaker 1: population of the country over the next nineteen years for 230 00:11:10,800 --> 00:11:13,840 Speaker 1: the baby boom, Almost seventy six million babies were poor, right, 231 00:11:13,880 --> 00:11:15,959 Speaker 1: So that's more than fifty percent of the population nineteen 232 00:11:16,000 --> 00:11:18,720 Speaker 1: forty five are then boor okay, and so that means 233 00:11:18,720 --> 00:11:21,200 Speaker 1: that you know, a third of the country essentially is 234 00:11:21,960 --> 00:11:24,920 Speaker 1: nineteen or less at the end of the page, right, right, 235 00:11:25,280 --> 00:11:28,520 Speaker 1: And then you just consider how that reshapes everything moving 236 00:11:28,559 --> 00:11:30,880 Speaker 1: forward as they get older, and that's the effect of 237 00:11:30,880 --> 00:11:32,640 Speaker 1: the baby booms. Hat on the cot is there is 238 00:11:32,640 --> 00:11:34,560 Speaker 1: there no know this may be a stupid question, but 239 00:11:34,640 --> 00:11:37,600 Speaker 1: is there no other generation since the baby boomer generation 240 00:11:37,760 --> 00:11:40,439 Speaker 1: that has a comparative sort of birthrate? That mean, is 241 00:11:40,440 --> 00:11:43,720 Speaker 1: it just unmatched? Like who's after the Baby Boomers? It's 242 00:11:43,920 --> 00:11:46,080 Speaker 1: is it gen x X, right? That's that's right, Yeah, 243 00:11:46,080 --> 00:11:49,840 Speaker 1: that's me. That's me the greatest generation in my opinion, absolutely, 244 00:11:50,080 --> 00:11:52,440 Speaker 1: which is another generation. But I think we should just 245 00:11:52,440 --> 00:11:54,839 Speaker 1: take it, honestly, I think we're outed at this point. 246 00:11:55,640 --> 00:11:59,120 Speaker 1: And Gen X birthrate, like comparatively, do you know the 247 00:11:59,200 --> 00:12:02,280 Speaker 1: number offhand, like how many babies were born? You said 248 00:12:02,280 --> 00:12:05,720 Speaker 1: seventy seven million from forty six to sixty four, is 249 00:12:05,720 --> 00:12:08,320 Speaker 1: that right? Almost seventy six Okay, almost seventy six million, 250 00:12:08,440 --> 00:12:10,400 Speaker 1: seventy six millions, So do we start at sixty five? 251 00:12:10,440 --> 00:12:14,120 Speaker 1: Gen X starts sixty five and goes to what that 252 00:12:14,160 --> 00:12:16,559 Speaker 1: goes to eighty eighty, so how many babies were born? 253 00:12:16,760 --> 00:12:19,559 Speaker 1: But no, but this is key according to Pew Research Center, 254 00:12:19,640 --> 00:12:22,959 Speaker 1: which is the the go to for the delineation so generations. 255 00:12:23,200 --> 00:12:25,000 Speaker 1: But it's made up, you know, I mean, this is 256 00:12:25,040 --> 00:12:27,199 Speaker 1: not a demographic with a distinct event to your questions 257 00:12:27,280 --> 00:12:29,400 Speaker 1: or answering your question in two ways. No, there was 258 00:12:29,440 --> 00:12:32,280 Speaker 1: not a similar, like defined period of births that tells 259 00:12:32,360 --> 00:12:34,600 Speaker 1: us what gen X was right. It was just sort 260 00:12:34,600 --> 00:12:36,960 Speaker 1: of like, well, this makes sense as a truncation point 261 00:12:37,040 --> 00:12:39,400 Speaker 1: that Pew decided, same with millennials. Money, that's what else 262 00:12:39,640 --> 00:12:41,440 Speaker 1: started eighty one and then go to I think it's 263 00:12:41,440 --> 00:12:44,000 Speaker 1: like ninety five something along those lines. But again not 264 00:12:44,040 --> 00:12:47,920 Speaker 1: a hard demarcation. The generation that is next closest in 265 00:12:48,040 --> 00:12:51,960 Speaker 1: size total population to the boom is the millennial generation, 266 00:12:52,040 --> 00:12:54,360 Speaker 1: which at the age of forty, there are about you know, 267 00:12:54,480 --> 00:12:57,360 Speaker 1: nine for every ten boomers at the age of forty, 268 00:12:57,360 --> 00:13:00,520 Speaker 1: it's about ninety percent the total number that Boomers were 269 00:13:00,520 --> 00:13:02,880 Speaker 1: when they hit forty, and so it's almost as big. 270 00:13:03,080 --> 00:13:07,000 Speaker 1: And millennials are the children of boomers. Is that correct? Well, 271 00:13:07,040 --> 00:13:09,040 Speaker 1: I mean, look, you know there were boomers that were 272 00:13:09,040 --> 00:13:12,680 Speaker 1: the children that boomer right, right, if you're eighteen, you 273 00:13:12,679 --> 00:13:14,520 Speaker 1: know it's crazy. So you know, again this is all 274 00:13:14,559 --> 00:13:17,280 Speaker 1: made up, right, sure? But what's interesting you're kind of 275 00:13:17,320 --> 00:13:20,600 Speaker 1: hammering on this point the baby Boomer generation, where Gen 276 00:13:20,640 --> 00:13:23,640 Speaker 1: acts or gen y or whatever, gen Z millennials may 277 00:13:23,679 --> 00:13:26,079 Speaker 1: be a kind of a marketing or just a way 278 00:13:26,080 --> 00:13:28,439 Speaker 1: to categorize a group of people from at a certain period. 279 00:13:28,520 --> 00:13:31,439 Speaker 1: Certainly is used in marketing, obviously, and some of it 280 00:13:31,480 --> 00:13:34,640 Speaker 1: is fueled by marketing. But you're saying that one of 281 00:13:34,679 --> 00:13:37,319 Speaker 1: the characteristics of the baby Boomers that is distinct is 282 00:13:37,360 --> 00:13:41,120 Speaker 1: that there is an actual demographic event that occurs in 283 00:13:41,160 --> 00:13:43,840 Speaker 1: that era that is different from what we would consider 284 00:13:44,000 --> 00:13:46,360 Speaker 1: to be previous generations. That there is a huge uptick 285 00:13:46,840 --> 00:13:50,640 Speaker 1: in births. That's right, That we have populated America full 286 00:13:50,640 --> 00:13:52,720 Speaker 1: of these people in a way that no other generation. 287 00:13:52,920 --> 00:13:55,640 Speaker 1: I guess you're saying millennial, But it's interesting to consider 288 00:13:55,679 --> 00:13:58,040 Speaker 1: that millennials are the future boomers, which kind of checks 289 00:13:58,080 --> 00:14:01,720 Speaker 1: out to me in a way. But so there's a 290 00:14:01,760 --> 00:14:03,720 Speaker 1: real defining characteristic of it that isn't just like a 291 00:14:03,760 --> 00:14:06,360 Speaker 1: marketing term. Yeah, that's right. I mean it's almost as 292 00:14:06,360 --> 00:14:08,320 Speaker 1: if the analogy like to use is to astrology. But 293 00:14:08,320 --> 00:14:10,960 Speaker 1: it's as though there was evidence that people who were 294 00:14:10,960 --> 00:14:13,000 Speaker 1: born under the star sign of cancer actually had a 295 00:14:13,040 --> 00:14:15,400 Speaker 1: certain set of attributes and that you could define that, 296 00:14:15,520 --> 00:14:17,400 Speaker 1: you know, cancer has had the set of attributes, and 297 00:14:17,400 --> 00:14:19,239 Speaker 1: then they just made up the rest of the zodiac 298 00:14:19,520 --> 00:14:21,200 Speaker 1: in order to sort of flesh it out and has 299 00:14:21,200 --> 00:14:23,560 Speaker 1: something to spear right, Right, So generations are very much 300 00:14:23,680 --> 00:14:25,960 Speaker 1: like the zodiac in that, you know, they have these 301 00:14:25,960 --> 00:14:28,840 Speaker 1: sort of theoretical attributes that everyone shares, and they have 302 00:14:28,920 --> 00:14:31,480 Speaker 1: sort of vaguely defined boundaries and you can be on 303 00:14:31,520 --> 00:14:33,120 Speaker 1: the cusp and what does that mean? Like, you know, 304 00:14:33,160 --> 00:14:35,280 Speaker 1: there are a lot of parallels there, but there is 305 00:14:35,280 --> 00:14:37,560 Speaker 1: this real thing, you know, that that the baby boom 306 00:14:37,560 --> 00:14:40,600 Speaker 1: itself is actually real, right, And so as a result, 307 00:14:40,960 --> 00:14:43,040 Speaker 1: you've got a bunch of people who appear on the 308 00:14:43,040 --> 00:14:45,440 Speaker 1: planet at a certain time. Right. You said it's an 309 00:14:45,480 --> 00:14:49,200 Speaker 1: eighteen year period, right, it's nineteen years inclusive. Yeah, raise 310 00:14:49,280 --> 00:14:50,920 Speaker 1: in a certain environment, raised in a certain way in 311 00:14:50,960 --> 00:14:53,160 Speaker 1: a certain state of America that has had you know, 312 00:14:53,280 --> 00:14:57,560 Speaker 1: massive impact on the political and cultural landscape that we 313 00:14:57,600 --> 00:15:00,960 Speaker 1: currently navigate. Is that correct in saying that, well, it's 314 00:15:01,080 --> 00:15:05,080 Speaker 1: it's understanding, right, the Baby boom forced I mean, you know, 315 00:15:05,120 --> 00:15:07,040 Speaker 1: I mean not to be melodramatic, but you're like, no, 316 00:15:07,120 --> 00:15:11,880 Speaker 1: that's actually totally wrong. But the Baby boom really reshaped 317 00:15:11,920 --> 00:15:14,400 Speaker 1: what America looks like. You know, if there were external factors, 318 00:15:14,400 --> 00:15:18,040 Speaker 1: the development of television, transistor, radios, you know, geopolitical affairs, 319 00:15:18,240 --> 00:15:20,400 Speaker 1: those things had an effect as well. But when you 320 00:15:20,440 --> 00:15:23,360 Speaker 1: consider what it means you have to accommodate this massive 321 00:15:23,360 --> 00:15:27,600 Speaker 1: search and population, you understand how America had to reshape itself. Right, 322 00:15:27,720 --> 00:15:30,400 Speaker 1: Like imagine, you know, in the mid nineteen fifties, you 323 00:15:30,400 --> 00:15:32,240 Speaker 1: have to get not only a bunch of DW elementary 324 00:15:32,240 --> 00:15:33,920 Speaker 1: schools to accommodate everyone. You have to get a bunch 325 00:15:33,920 --> 00:15:36,520 Speaker 1: of elementary school teachers by the time they hit eighteen. Like, 326 00:15:36,560 --> 00:15:38,040 Speaker 1: what jobs are they gonna do? Are they're gonna go 327 00:15:38,080 --> 00:15:39,920 Speaker 1: to college? Who are the college professors? You can't just 328 00:15:39,920 --> 00:15:42,360 Speaker 1: whip up college professors, right, you send that, You send 329 00:15:42,400 --> 00:15:44,360 Speaker 1: a decent chuck of them off to Vietnam, right, you 330 00:15:44,440 --> 00:15:46,120 Speaker 1: know you give them to give them right different. They 331 00:15:46,120 --> 00:15:48,200 Speaker 1: are all these ways in which America change because it 332 00:15:48,320 --> 00:15:50,400 Speaker 1: had to deal with this, and this is the key point. 333 00:15:50,920 --> 00:15:53,120 Speaker 1: Now we're reaching the point where they're all hitting sixty 334 00:15:53,120 --> 00:15:55,080 Speaker 1: five somehow, a lot of us some sort of blinds. 335 00:15:55,120 --> 00:15:56,160 Speaker 1: I was like, oh my god, all of a sudden, 336 00:15:56,160 --> 00:15:57,880 Speaker 1: there's all these seniors. It's like, yeah, man, we've seen 337 00:15:57,880 --> 00:16:00,800 Speaker 1: this covering since nineteen forty six. Well, now now we 338 00:16:00,840 --> 00:16:02,760 Speaker 1: have to figure out what we're gonna do. Right. Uh, 339 00:16:03,240 --> 00:16:06,680 Speaker 1: When you put it in these terms, it's like shockingly 340 00:16:06,760 --> 00:16:09,640 Speaker 1: obvious that this is a problem like that, of course, 341 00:16:10,080 --> 00:16:15,160 Speaker 1: this huge disparity in certain sort of expectations or politics 342 00:16:15,360 --> 00:16:18,480 Speaker 1: or cultural norms or whatever. Of course, like it makes 343 00:16:18,480 --> 00:16:20,160 Speaker 1: a lot of sense given what you were just saying. 344 00:16:20,200 --> 00:16:23,119 Speaker 1: But people talk about boomers, and it's a very broad 345 00:16:23,360 --> 00:16:26,880 Speaker 1: term to mean like a person who's like uncool and 346 00:16:26,920 --> 00:16:30,240 Speaker 1: has bad ideas and is selfish. There's more to it 347 00:16:30,280 --> 00:16:32,240 Speaker 1: than that, I'm sure. Can you can you like just 348 00:16:32,320 --> 00:16:33,640 Speaker 1: hit a couple of the points of like what is 349 00:16:33,680 --> 00:16:37,480 Speaker 1: the defining boomer characteristic? Yeah? Okay, so you asked a 350 00:16:37,520 --> 00:16:39,440 Speaker 1: couple of questions that, I mean, did it's your last 351 00:16:39,440 --> 00:16:41,240 Speaker 1: point about you know, what is what is a boomer? 352 00:16:41,280 --> 00:16:43,440 Speaker 1: That's sort of the astrology aspect of it, right, you know, 353 00:16:43,480 --> 00:16:46,240 Speaker 1: like who who they are sort of conscientiously is is 354 00:16:46,520 --> 00:16:49,440 Speaker 1: you know, I think there there's an answerable component to that, 355 00:16:49,440 --> 00:16:51,880 Speaker 1: which which I'll get to. But you also asked, you know, 356 00:16:52,160 --> 00:16:54,480 Speaker 1: what are the ways they recipe America? They answer that 357 00:16:54,480 --> 00:16:57,120 Speaker 1: as simple. I think nearly everything in America's recipe by 358 00:16:57,160 --> 00:16:59,000 Speaker 1: the baby boom. And you know, that's part of what 359 00:16:59,040 --> 00:17:02,080 Speaker 1: the book goes into what differentiates a boomer from someone else. 360 00:17:02,080 --> 00:17:04,320 Speaker 1: And this has a very clear and I think of 361 00:17:04,359 --> 00:17:06,440 Speaker 1: poor Nancier, You're you're absolutely right. This is a very 362 00:17:06,520 --> 00:17:08,800 Speaker 1: very large generation of tens of millions of people. So 363 00:17:08,840 --> 00:17:10,800 Speaker 1: it is certainly by you know, by no means are 364 00:17:10,800 --> 00:17:13,360 Speaker 1: they are they all the same, but they are. They 365 00:17:13,359 --> 00:17:15,320 Speaker 1: do share some characteristics. One is that they are much 366 00:17:15,320 --> 00:17:17,919 Speaker 1: whiter than younger Americans. And you have to consider that 367 00:17:18,240 --> 00:17:20,920 Speaker 1: it's about a century ago the United States imposed new 368 00:17:21,160 --> 00:17:24,120 Speaker 1: restrictions on immigration. Partly is a backlash to immigrants from 369 00:17:24,119 --> 00:17:27,399 Speaker 1: Eastern Europe, Southern Europe. Also immigrants from Asia. Those weren't 370 00:17:27,440 --> 00:17:29,760 Speaker 1: lifted until after the boom ended. So at the time 371 00:17:29,760 --> 00:17:32,560 Speaker 1: of the baby boom. Time baby booms started, the average 372 00:17:32,560 --> 00:17:35,040 Speaker 1: immigrant was someone's grandparent would come over through the allis 373 00:17:35,119 --> 00:17:38,359 Speaker 1: Island era of immigration. Right right then one immigration laws 374 00:17:38,359 --> 00:17:40,399 Speaker 1: were loosened, we saw a lot of immigrants from Asia 375 00:17:40,440 --> 00:17:43,639 Speaker 1: and Central America in Mexico who helped to diversify the 376 00:17:43,720 --> 00:17:46,280 Speaker 1: United States. And so we have a younger generation in 377 00:17:46,280 --> 00:17:48,840 Speaker 1: America that is much less densely white than the Baby 378 00:17:48,840 --> 00:17:51,920 Speaker 1: boom generation. Right O. That's interesting. I mean you're saying 379 00:17:51,960 --> 00:17:54,320 Speaker 1: like we based like hit pause on like a more 380 00:17:54,359 --> 00:17:57,879 Speaker 1: diverse form of immigration like during this period. That's exactly 381 00:17:57,880 --> 00:17:59,640 Speaker 1: what I mean. That's that alone is just a kind 382 00:17:59,640 --> 00:18:02,359 Speaker 1: of fascinated, you know. I mean maybe if I had 383 00:18:02,400 --> 00:18:04,320 Speaker 1: read more history books, that would be obvious to me, 384 00:18:04,359 --> 00:18:06,359 Speaker 1: but that is not obvious as a component of like 385 00:18:06,760 --> 00:18:08,640 Speaker 1: the Boomer generations. Sorr. I didn't mean to cut you off, 386 00:18:08,640 --> 00:18:10,600 Speaker 1: but I find that kind of fascinating. Yeah, but I 387 00:18:10,640 --> 00:18:13,520 Speaker 1: mean you can immediately understand how that overlaps with lots 388 00:18:13,520 --> 00:18:16,720 Speaker 1: of different strains of American politics, right. You know, when 389 00:18:16,720 --> 00:18:18,760 Speaker 1: you have this older, wider generation that all of a 390 00:18:18,760 --> 00:18:20,920 Speaker 1: sudden is very frustrated, and when they look at younger 391 00:18:20,920 --> 00:18:23,560 Speaker 1: Americans and they literally look different than they do, that 392 00:18:23,640 --> 00:18:25,480 Speaker 1: sort of freaks them out, Like you can see. Again, 393 00:18:25,560 --> 00:18:27,600 Speaker 1: not to oversimply, you can see how this plays out. 394 00:18:28,000 --> 00:18:29,880 Speaker 1: But there are other things too, and so the Boomers 395 00:18:29,880 --> 00:18:33,960 Speaker 1: started this trend, for example, of moving away from people 396 00:18:33,960 --> 00:18:36,919 Speaker 1: belonging to institutions. You know, they're less likely to go 397 00:18:36,920 --> 00:18:38,440 Speaker 1: to church than their parents, they are less likely to 398 00:18:38,440 --> 00:18:40,120 Speaker 1: participate in social groups and so on and so forth. 399 00:18:40,240 --> 00:18:42,879 Speaker 1: But that's really accelerated post boom, and so younger Americas 400 00:18:42,880 --> 00:18:45,120 Speaker 1: are much less likely to participate in institutions, much less 401 00:18:45,119 --> 00:18:47,920 Speaker 1: likely be members so political parties, much less likely to 402 00:18:48,280 --> 00:18:50,520 Speaker 1: go to church, mention less likely to be religious. At 403 00:18:50,560 --> 00:18:52,960 Speaker 1: the same time, they're also much better educated, so boomers 404 00:18:53,160 --> 00:18:55,119 Speaker 1: went to college more than their parents. But that trend 405 00:18:55,200 --> 00:18:57,879 Speaker 1: also continued, so younger people are much better educated, and 406 00:18:57,920 --> 00:18:59,960 Speaker 1: so over anyone who's pays its attention to politics again, 407 00:19:00,000 --> 00:19:03,199 Speaker 1: and you can see how these things overlap with democratic 408 00:19:03,200 --> 00:19:06,320 Speaker 1: and Republican orientation, right, you know, people who don't go 409 00:19:06,359 --> 00:19:08,960 Speaker 1: to church and have our college graduates and our people 410 00:19:08,960 --> 00:19:11,080 Speaker 1: of color are much more likely to be Democrats. Right, 411 00:19:11,200 --> 00:19:13,720 Speaker 1: And so that then also contributes to the tension. So 412 00:19:13,880 --> 00:19:16,280 Speaker 1: there are a lot of practical ways in which boomers 413 00:19:16,280 --> 00:19:18,679 Speaker 1: and young Americans are different. That then you can very 414 00:19:18,760 --> 00:19:31,400 Speaker 1: quickly see electricle selves. I mean this is maybe a 415 00:19:31,440 --> 00:19:34,720 Speaker 1: really stupid question. But do Republicans skew older than Democrats 416 00:19:34,760 --> 00:19:37,639 Speaker 1: across the board? Yeah? They do. I actually looked at 417 00:19:37,640 --> 00:19:40,240 Speaker 1: analysis for the Post that this has included some extent 418 00:19:40,280 --> 00:19:42,879 Speaker 1: in the book, but I pulled more recent numbers. You know, 419 00:19:42,920 --> 00:19:45,720 Speaker 1: about a third of the Republican Party registered Republican is 420 00:19:45,720 --> 00:19:49,680 Speaker 1: not including independent too lean Republican registered Republicans nationally, about 421 00:19:49,680 --> 00:19:51,359 Speaker 1: a third of the sixty five or over you know, 422 00:19:51,400 --> 00:19:54,080 Speaker 1: well over half of them at fiftyear over. Right, that's 423 00:19:54,080 --> 00:19:56,639 Speaker 1: not great for the Republicans, it's not. But then you 424 00:19:56,640 --> 00:19:58,240 Speaker 1: know this is this is like two chapters of the 425 00:19:58,280 --> 00:20:00,159 Speaker 1: book is so what does this mean? Right? Right? But 426 00:20:00,240 --> 00:20:01,520 Speaker 1: what does this mean? Over the wall? I was going 427 00:20:01,560 --> 00:20:03,439 Speaker 1: to get to that, like it's you know, you predict 428 00:20:03,440 --> 00:20:06,719 Speaker 1: the future. But in essence, you're saying that like boomers 429 00:20:06,760 --> 00:20:09,200 Speaker 1: are actually I mean, correct me if I'm wrong, more 430 00:20:09,200 --> 00:20:12,159 Speaker 1: progressive because they're more educated. I guess, I guess I 431 00:20:12,200 --> 00:20:14,320 Speaker 1: don't understand the distinction because you said they're more educating, 432 00:20:14,359 --> 00:20:16,480 Speaker 1: that trend is continued, But that would mean that like 433 00:20:16,800 --> 00:20:20,720 Speaker 1: boomers are buying large Democrats? Is that correct? No? No, 434 00:20:20,880 --> 00:20:23,119 Speaker 1: what I'm saying is when you look at the density 435 00:20:23,200 --> 00:20:26,680 Speaker 1: of college education over time. The Boomers really started the 436 00:20:26,760 --> 00:20:29,120 Speaker 1: upward trend, right, But then once the boom was done, 437 00:20:29,119 --> 00:20:31,840 Speaker 1: it continued to shoot higher higher. So most boomers do 438 00:20:31,880 --> 00:20:33,639 Speaker 1: not have a college education. Most young people don't have 439 00:20:33,680 --> 00:20:35,760 Speaker 1: coulege education too, but they're much more likely to have 440 00:20:35,800 --> 00:20:38,280 Speaker 1: a college education than that. That overlooks. I see that 441 00:20:38,359 --> 00:20:42,080 Speaker 1: accelerated as the generation war on essentially right, and continued 442 00:20:42,119 --> 00:20:44,320 Speaker 1: on that track. Okay, yeah, that's right, Okay, Okay, let's 443 00:20:44,320 --> 00:20:46,800 Speaker 1: hear some other baby Boomer facts. This is like fascinating 444 00:20:46,840 --> 00:20:49,040 Speaker 1: to me. So they are so they are very white. 445 00:20:49,440 --> 00:20:51,920 Speaker 1: I think we just stopped them very white. That was well. 446 00:20:51,920 --> 00:20:54,680 Speaker 1: You know what's interesting about it, though, is because immigration 447 00:20:54,760 --> 00:20:57,080 Speaker 1: laws were loosing, they actually got less white over time. 448 00:20:57,119 --> 00:20:59,920 Speaker 1: The Baby Boom generation kept growing in size until about 449 00:20:59,920 --> 00:21:02,840 Speaker 1: the year two thousand because of immigration, even though you know, 450 00:21:02,880 --> 00:21:05,760 Speaker 1: birth send in nineteen sixty four, because we kept bringing 451 00:21:05,760 --> 00:21:08,160 Speaker 1: people in who were born in forty from forty six 452 00:21:08,200 --> 00:21:10,200 Speaker 1: to sixty four, they weren't part of the American baby boom, 453 00:21:10,200 --> 00:21:13,360 Speaker 1: but we're part of other countries births over that period, right, 454 00:21:13,440 --> 00:21:15,720 Speaker 1: The boom itself actually got less white over time, which 455 00:21:15,720 --> 00:21:18,119 Speaker 1: I think is also sort of fascinating, right, That is interesting. 456 00:21:18,240 --> 00:21:22,160 Speaker 1: So you're saying, with a less limited immigration policy, there's 457 00:21:22,200 --> 00:21:25,040 Speaker 1: an influx of non white boomer age people. Yeah, exactly, 458 00:21:25,240 --> 00:21:27,240 Speaker 1: someone we moved here from China who was born in 459 00:21:27,320 --> 00:21:30,080 Speaker 1: nineteen sixty. They're a baby boom, right, right, Yeah, but 460 00:21:30,160 --> 00:21:33,680 Speaker 1: not not our baby boom, a totally different distinct one. 461 00:21:33,720 --> 00:21:35,760 Speaker 1: I'm sure, all right, what else should we know? What 462 00:21:35,840 --> 00:21:37,960 Speaker 1: are some other signs to watch out for, if you know, 463 00:21:38,000 --> 00:21:41,120 Speaker 1: if you want to know your baby boomer, well, I mean, look, 464 00:21:41,160 --> 00:21:44,359 Speaker 1: you know, again, drawing these sorts of distinctions is tricky, 465 00:21:44,400 --> 00:21:47,040 Speaker 1: just because this is not a generation which is cohesively 466 00:21:47,200 --> 00:21:49,040 Speaker 1: the statium in a lot of different ways. Right, They're 467 00:21:49,080 --> 00:21:51,880 Speaker 1: not a monolith. But if we reshaped America around their 468 00:21:52,000 --> 00:21:54,840 Speaker 1: needs and wants and likes and dislikes and whatever, the 469 00:21:54,920 --> 00:21:57,159 Speaker 1: kinds of challenges we were presented with because of this 470 00:21:57,240 --> 00:22:00,919 Speaker 1: new group of people that has appeared on the planet 471 00:22:00,960 --> 00:22:05,200 Speaker 1: in this country, presumably there are some connective elements amongst 472 00:22:05,200 --> 00:22:07,120 Speaker 1: that group that I mean, they may I'd just be like, oh, 473 00:22:07,119 --> 00:22:09,919 Speaker 1: they prefer to eat you know, hamburgers or whatever, you know, 474 00:22:09,960 --> 00:22:12,080 Speaker 1: Like I'm talking, there's got to be more, you know, 475 00:22:12,480 --> 00:22:15,359 Speaker 1: sort of demographically speaking, I mean, what you're talking about 476 00:22:15,440 --> 00:22:17,600 Speaker 1: is is a fact. Yeah, well, I mean from a 477 00:22:17,640 --> 00:22:19,840 Speaker 1: demographic standpoints, there's not a lot of other things. I mean, 478 00:22:19,920 --> 00:22:21,800 Speaker 1: younger people more like little live in cities, but not 479 00:22:22,000 --> 00:22:24,000 Speaker 1: overwhelmingly so. And you know, there's a chapter in the 480 00:22:24,040 --> 00:22:26,320 Speaker 1: book the looks at this. But when we talk about 481 00:22:26,359 --> 00:22:29,520 Speaker 1: the things that define them, right, so, demographers look not 482 00:22:29,560 --> 00:22:32,400 Speaker 1: necessarily generations, but at cohorts, people who are who are 483 00:22:32,440 --> 00:22:35,080 Speaker 1: born in the same general time period and live through 484 00:22:35,400 --> 00:22:37,840 Speaker 1: similar experiences. And so when you look at, for example, 485 00:22:37,840 --> 00:22:40,320 Speaker 1: people who are young during the Great Depression, they have 486 00:22:40,359 --> 00:22:43,359 Speaker 1: a certain relationship the money that other Americans probably don't. Right, 487 00:22:43,440 --> 00:22:46,240 Speaker 1: So we understand that idea of how cohorts go. But 488 00:22:46,320 --> 00:22:48,879 Speaker 1: when we talk about what are the defining characteristics of 489 00:22:48,960 --> 00:22:51,880 Speaker 1: the cohort of the baby boomers, it's every goddamn movie 490 00:22:51,920 --> 00:22:53,879 Speaker 1: you've seen in the past thirty years, right, you know, 491 00:22:53,880 --> 00:22:55,760 Speaker 1: it's it's a listen to rock and roll and you know, 492 00:22:55,760 --> 00:22:58,480 Speaker 1: I mean it's like it's like all of these stereotypes 493 00:22:58,560 --> 00:23:02,120 Speaker 1: are born of young baby boomers who all of a sudden, 494 00:23:02,640 --> 00:23:05,520 Speaker 1: marketers have this massive opportunity because they have this huge 495 00:23:05,680 --> 00:23:08,840 Speaker 1: influx of teenagers who have a ton of disposable income 496 00:23:09,000 --> 00:23:11,240 Speaker 1: and start driving decisions with the families making you have 497 00:23:11,320 --> 00:23:13,400 Speaker 1: this emerge at the same time as television. They're buying 498 00:23:13,400 --> 00:23:15,800 Speaker 1: stuff they see on television, so markets are pitching, and 499 00:23:15,800 --> 00:23:18,040 Speaker 1: then you have you know, you have Dick Clark's American Dance. 500 00:23:18,080 --> 00:23:21,760 Speaker 1: They're like all these things that we now associate with 501 00:23:21,800 --> 00:23:25,120 Speaker 1: the very stereotypical that's the baby booming. Well, it's interesting 502 00:23:25,200 --> 00:23:29,120 Speaker 1: that so much of Americana, or a nostalgia about the 503 00:23:29,160 --> 00:23:32,520 Speaker 1: way America used to be that we hear now, particularly 504 00:23:32,560 --> 00:23:35,120 Speaker 1: from people like Trump and you know Republicans often not 505 00:23:35,200 --> 00:23:37,960 Speaker 1: just them. But it's funny when you said they were 506 00:23:38,040 --> 00:23:40,320 Speaker 1: very white, Like the first thought I had was like, oh, well, 507 00:23:40,320 --> 00:23:43,080 Speaker 1: that kind of explains why a lot of these older 508 00:23:43,160 --> 00:23:48,000 Speaker 1: Americans perfect idea of like what America should be like. 509 00:23:48,160 --> 00:23:51,920 Speaker 1: Is this like very white, suburban sort of place right 510 00:23:52,000 --> 00:23:54,800 Speaker 1: like this classic like where they were on top. They 511 00:23:54,800 --> 00:23:57,120 Speaker 1: were sort of like in the pole position all the time, 512 00:23:57,160 --> 00:24:00,119 Speaker 1: and they lived in these very like homogeneous sort of 513 00:24:00,280 --> 00:24:03,120 Speaker 1: environments that were that looked and felt very similar. Like 514 00:24:03,400 --> 00:24:05,760 Speaker 1: I feel like the immigration thing explains it better than 515 00:24:05,800 --> 00:24:08,680 Speaker 1: any anything I could imagine as to why their nostalgia 516 00:24:08,720 --> 00:24:11,119 Speaker 1: is so seemingly one sided, or at least a lot 517 00:24:11,160 --> 00:24:14,639 Speaker 1: of people. Not again, not across the board, but you 518 00:24:14,720 --> 00:24:17,440 Speaker 1: do hear it a lot. So we've got this huge generation. 519 00:24:17,760 --> 00:24:20,480 Speaker 1: Again not monolithic in their behaviors or their attitudes, but 520 00:24:20,520 --> 00:24:23,840 Speaker 1: there is some stuff that has carried through. I mean, 521 00:24:24,000 --> 00:24:26,880 Speaker 1: is there a moment where their politics or their way 522 00:24:26,880 --> 00:24:30,200 Speaker 1: of living, or their thinking begins to truly clash with 523 00:24:30,280 --> 00:24:33,200 Speaker 1: like their children or the generations that are following them. 524 00:24:33,200 --> 00:24:36,080 Speaker 1: I mean it explained that to me. Yeah, no, this 525 00:24:36,160 --> 00:24:40,199 Speaker 1: is this is a great question. And again, this is 526 00:24:40,200 --> 00:24:42,840 Speaker 1: a generation the last of the course of nineteen years, 527 00:24:42,880 --> 00:24:45,520 Speaker 1: and so it itself is divisible in some ways in 528 00:24:45,600 --> 00:24:48,040 Speaker 1: terms of when things start to happen. We've had baby 529 00:24:48,040 --> 00:24:50,800 Speaker 1: boomers hitting retirement age for some time now, for example. 530 00:24:51,200 --> 00:24:53,439 Speaker 1: But consider in the moment. Consider you know that the 531 00:24:53,520 --> 00:24:56,240 Speaker 1: State of the Union address is a really good example 532 00:24:56,280 --> 00:24:58,760 Speaker 1: of the ways in which this manifests. And so for 533 00:24:58,800 --> 00:25:00,440 Speaker 1: a long time, the Republican part, it's like, we gotta 534 00:25:00,440 --> 00:25:02,040 Speaker 1: cut in title once, we got to cut social Security 535 00:25:02,040 --> 00:25:04,159 Speaker 1: and medicare. We just talked about how Republicans are now 536 00:25:04,280 --> 00:25:07,080 Speaker 1: much older than Democrats and are older than they used 537 00:25:07,080 --> 00:25:08,960 Speaker 1: to be because America is older, and so all of 538 00:25:09,000 --> 00:25:11,520 Speaker 1: a sudden, President Bonding gets up in the State of Union, says, hey, 539 00:25:11,560 --> 00:25:13,440 Speaker 1: you know the problems want to cut Social Security Medicare, 540 00:25:13,440 --> 00:25:15,040 Speaker 1: and the problem is like, oh my god, no, no, no, no, 541 00:25:15,040 --> 00:25:16,879 Speaker 1: no no, we don't want to do that, which is 542 00:25:16,920 --> 00:25:19,120 Speaker 1: not the position they would have had previously, in part 543 00:25:19,160 --> 00:25:21,320 Speaker 1: because their base is so much older. Right, but when 544 00:25:21,359 --> 00:25:23,680 Speaker 1: you think about the Gen X did not push back 545 00:25:23,680 --> 00:25:25,600 Speaker 1: on the baby boomlat and part because we weren't. There 546 00:25:25,600 --> 00:25:27,240 Speaker 1: weren't as many of us, and so we weren't able 547 00:25:27,240 --> 00:25:29,720 Speaker 1: to sort of own culture in the same way that 548 00:25:29,840 --> 00:25:32,080 Speaker 1: younger you know, millennials and Gen Z are able to do. 549 00:25:32,119 --> 00:25:34,520 Speaker 1: So we own culture, just the cool parts that not 550 00:25:35,119 --> 00:25:37,280 Speaker 1: a lot of people are interacting with. Yeah, I mean 551 00:25:37,400 --> 00:25:39,560 Speaker 1: sort of which just comes as being young, right, you 552 00:25:39,600 --> 00:25:41,240 Speaker 1: know you're not much beyond that. I mean, you know 553 00:25:41,280 --> 00:25:43,159 Speaker 1: where we got our little blurp of the you know, 554 00:25:43,240 --> 00:25:45,520 Speaker 1: the hip hop the super Bowl halftime show last year, 555 00:25:45,520 --> 00:25:47,160 Speaker 1: which is about all we're going to get. That's true. 556 00:25:47,280 --> 00:25:49,719 Speaker 1: I think if it as a generation that doesn't care 557 00:25:49,760 --> 00:25:52,160 Speaker 1: about whether or not their culture is necessarily the most 558 00:25:52,160 --> 00:25:54,800 Speaker 1: popular culture, I think a defining characteristic of gen X 559 00:25:54,840 --> 00:25:57,720 Speaker 1: as they kind of don't care about being like the 560 00:25:57,760 --> 00:26:00,000 Speaker 1: top dog. You know, well, you should then write about 561 00:26:00,119 --> 00:26:02,480 Speaker 1: about generations and see how many Gen xers complain about 562 00:26:02,480 --> 00:26:04,640 Speaker 1: not getting mentioned in every freaking interview. Maybe I will. 563 00:26:06,720 --> 00:26:09,000 Speaker 1: But then consider the fact that when now we have 564 00:26:09,080 --> 00:26:11,639 Speaker 1: this group of millennials and Gen Z people who again 565 00:26:11,760 --> 00:26:14,920 Speaker 1: are almost as numerous as baby boomers when they were young, 566 00:26:14,960 --> 00:26:17,480 Speaker 1: and now more numerous than baby boomers, who have a 567 00:26:17,600 --> 00:26:19,760 Speaker 1: very different set of needs than the baby boomers. And 568 00:26:19,880 --> 00:26:22,679 Speaker 1: so we have this increased senior population now, so we 569 00:26:22,720 --> 00:26:24,320 Speaker 1: need to think about social security, and we need to 570 00:26:24,320 --> 00:26:27,040 Speaker 1: think about medicare, we need to think about senior housing, 571 00:26:27,040 --> 00:26:28,960 Speaker 1: we need to think about long term health re precautions 572 00:26:29,000 --> 00:26:32,480 Speaker 1: of that. But you also have this competing large group 573 00:26:32,520 --> 00:26:35,080 Speaker 1: of people increasingly voting, who are saying, actually, we also 574 00:26:35,119 --> 00:26:37,120 Speaker 1: need to invest in schools and BRICA and things along 575 00:26:37,160 --> 00:26:40,720 Speaker 1: those lines. And we know that historically that older Americans 576 00:26:40,760 --> 00:26:43,040 Speaker 1: are less likely to support things like school bond measures 577 00:26:43,080 --> 00:26:45,280 Speaker 1: because they're less locally have kids in schools. So this 578 00:26:45,359 --> 00:26:48,280 Speaker 1: sets up a political tension by itself just in terms 579 00:26:48,280 --> 00:26:51,640 Speaker 1: of where federal, state and local resources are going. This 580 00:26:51,720 --> 00:26:54,400 Speaker 1: is the moment when that's happening, because now old Americans 581 00:26:54,440 --> 00:26:56,919 Speaker 1: need those and now younger Americans also need to take 582 00:26:56,960 --> 00:26:59,280 Speaker 1: care of their own families at an increasing rape right 583 00:26:59,600 --> 00:27:02,280 Speaker 1: sore battling over resources. This is sort of like a 584 00:27:02,320 --> 00:27:06,520 Speaker 1: water world situation. I mean, that's one aspect of it, right, Right, 585 00:27:06,880 --> 00:27:09,240 Speaker 1: Do boomers get a bad rap? Like the word boomer 586 00:27:09,240 --> 00:27:12,040 Speaker 1: has become associated with something very negative? I said this earlier. 587 00:27:12,600 --> 00:27:15,560 Speaker 1: Is that a false representation? I mean the things you're 588 00:27:15,600 --> 00:27:18,960 Speaker 1: describing are I don't know. I mean we're constantly being 589 00:27:19,000 --> 00:27:23,879 Speaker 1: pulled backwards in this country, especially politically. I mean it's 590 00:27:23,920 --> 00:27:26,520 Speaker 1: not like every boomer is a is a Republican or something, 591 00:27:26,920 --> 00:27:30,040 Speaker 1: but it does feel like there's a very conservative element 592 00:27:30,119 --> 00:27:32,680 Speaker 1: in this country, whether it is you know, conservative Republican 593 00:27:32,840 --> 00:27:34,720 Speaker 1: or just somebody who is older and more conservative in 594 00:27:34,760 --> 00:27:36,960 Speaker 1: their thinking. That we make a lot of progress, then 595 00:27:37,000 --> 00:27:38,800 Speaker 1: it somehow gets like kind of there's always this group 596 00:27:38,800 --> 00:27:41,119 Speaker 1: trying to pull us back. Is that the boomers? Is 597 00:27:41,119 --> 00:27:43,360 Speaker 1: that our current you know, sort of the goal they've 598 00:27:43,400 --> 00:27:45,080 Speaker 1: been depicted as you know that it is sort of like, 599 00:27:45,119 --> 00:27:47,680 Speaker 1: you know, trying to rip us back to a simpler time, 600 00:27:47,720 --> 00:27:51,520 Speaker 1: as they would describe it, or is that misrepresentation. I 601 00:27:51,560 --> 00:27:53,560 Speaker 1: mean this is this is complicated and there are a 602 00:27:53,560 --> 00:27:56,240 Speaker 1: lot of different aspects to it. So so one aspect 603 00:27:56,480 --> 00:27:59,520 Speaker 1: is that we certainly do have older people tend to 604 00:27:59,560 --> 00:28:02,160 Speaker 1: vote more than younger people, and a result of that 605 00:28:02,320 --> 00:28:04,040 Speaker 1: is that the issues that are of concerned to older 606 00:28:04,040 --> 00:28:08,040 Speaker 1: people tend to get overrepresented in politics. And that while 607 00:28:08,240 --> 00:28:13,000 Speaker 1: boomers are themselves not robustly more republican than Democrat, that 608 00:28:13,040 --> 00:28:15,879 Speaker 1: they are much more republican than our younger generations. And 609 00:28:15,880 --> 00:28:18,199 Speaker 1: so if boomers themselves collectively just made a decision, they 610 00:28:18,200 --> 00:28:20,160 Speaker 1: would still be more heavily republican than what you're younger 611 00:28:20,200 --> 00:28:23,000 Speaker 1: people would do, just because they're more republican. But I 612 00:28:23,040 --> 00:28:24,800 Speaker 1: do think the boomers get a bad rap in the 613 00:28:24,840 --> 00:28:27,840 Speaker 1: sense that, for example, Baby boom controls, you know, a 614 00:28:28,200 --> 00:28:30,840 Speaker 1: disproportioned sheriff the wealth in the United States. But in 615 00:28:30,880 --> 00:28:32,639 Speaker 1: part that's because there are so many of them, and 616 00:28:32,800 --> 00:28:35,879 Speaker 1: when you look at a per capita basis that per capita, 617 00:28:36,000 --> 00:28:38,520 Speaker 1: baby boomers are no wealthier than any other generation. And 618 00:28:38,560 --> 00:28:40,400 Speaker 1: I think that when we talk about the ways in 619 00:28:40,480 --> 00:28:43,360 Speaker 1: which resentment manifests between generations who one of the challenges 620 00:28:43,440 --> 00:28:45,480 Speaker 1: is not only do younger people feel like, oh, baby booms, 621 00:28:45,520 --> 00:28:47,120 Speaker 1: they all got to buy houses, and you know they're 622 00:28:47,120 --> 00:28:49,400 Speaker 1: also wealthy. Look how wealthy hours of generation the baby 623 00:28:49,440 --> 00:28:51,120 Speaker 1: when we're saying basically are like, I'm not wealthy. What 624 00:28:51,120 --> 00:28:53,200 Speaker 1: are you talking about? Like, right, you know, why why 625 00:28:53,200 --> 00:28:55,240 Speaker 1: are you mad at me? I didn't do anything, you know, like, yes, 626 00:28:55,240 --> 00:28:56,440 Speaker 1: I go on a house, but it's not worth that 627 00:28:56,520 --> 00:28:58,240 Speaker 1: much in YadA, YadA YadA. Right, So you see some 628 00:28:58,320 --> 00:29:01,240 Speaker 1: of that resentment, right, but you also see four examples 629 00:29:01,240 --> 00:29:03,120 Speaker 1: that young people can get in the face of old 630 00:29:03,120 --> 00:29:05,560 Speaker 1: people in a way that wasn't possible fifty years ago, right, 631 00:29:05,560 --> 00:29:07,440 Speaker 1: And I think this is how to recognize we like, 632 00:29:07,520 --> 00:29:09,640 Speaker 1: you know, in nineteen seventy, when young people wanted to 633 00:29:09,640 --> 00:29:11,680 Speaker 1: cause a ruckus that go on college campus and carry 634 00:29:11,720 --> 00:29:14,000 Speaker 1: signs and hopefully get coverage in the San Francisco Chronicle 635 00:29:14,080 --> 00:29:16,640 Speaker 1: or whatever it happened to be. Now they get on TikTok. 636 00:29:16,720 --> 00:29:18,160 Speaker 1: You know, there's a quote that I used in the 637 00:29:18,200 --> 00:29:20,720 Speaker 1: book from a guy who's talking to Harpers and he's like, look, 638 00:29:20,720 --> 00:29:22,360 Speaker 1: you know, you can be in your bedroom in Cleveland 639 00:29:22,400 --> 00:29:24,520 Speaker 1: get a million followers overnight, and you can and you 640 00:29:24,560 --> 00:29:26,560 Speaker 1: can get those million followers can be the you know, 641 00:29:26,800 --> 00:29:28,920 Speaker 1: gloment onto your song, okay boomer and getting mad the 642 00:29:28,960 --> 00:29:30,960 Speaker 1: boomers and making fun of that, right, and the boomers 643 00:29:31,000 --> 00:29:32,360 Speaker 1: have to deal with that and see that in a 644 00:29:32,400 --> 00:29:34,960 Speaker 1: way that was not the case previously. And you know, 645 00:29:35,000 --> 00:29:37,640 Speaker 1: and that also increases generational attention. So there are all 646 00:29:37,680 --> 00:29:40,600 Speaker 1: these ways in which this manifest that aren't specifically about 647 00:29:40,640 --> 00:29:43,400 Speaker 1: the struggle for power, but still do reflect, you know, 648 00:29:43,480 --> 00:29:46,280 Speaker 1: the elevated state attention between the generations, right well, but 649 00:29:46,360 --> 00:29:49,280 Speaker 1: to be fair on the point about TikTok notes boomers 650 00:29:49,320 --> 00:29:51,120 Speaker 1: that are worrying about or have to deal with the 651 00:29:51,280 --> 00:29:54,800 Speaker 1: sort of instantaneous popularity of you know, hate being tossed 652 00:29:54,840 --> 00:29:56,520 Speaker 1: at a certain group or whatever. I mean, it's it's 653 00:29:56,560 --> 00:29:58,560 Speaker 1: sort of I mean, this is sort of a daily 654 00:29:58,600 --> 00:30:01,680 Speaker 1: habit now, right that we have to navigate some new 655 00:30:02,480 --> 00:30:05,240 Speaker 1: you know, movement of people right or wrong, good or 656 00:30:05,360 --> 00:30:09,120 Speaker 1: bad that has kind of allied themselves against a group, 657 00:30:09,200 --> 00:30:11,560 Speaker 1: some other group or some other person or whatever. I think. 658 00:30:11,840 --> 00:30:14,719 Speaker 1: I mean, yes, Boomers get shipped for it, but you know, 659 00:30:15,400 --> 00:30:17,680 Speaker 1: millennials get shipped for it too, a TikTok, you know, 660 00:30:17,800 --> 00:30:20,520 Speaker 1: so sure, I think it's it's sort of evenly, somewhat 661 00:30:20,520 --> 00:30:23,920 Speaker 1: even maybe not evenly distributed. But yeah, but again, the 662 00:30:23,960 --> 00:30:28,040 Speaker 1: baby boom is used to wielding power, right, not necessarily consciously, 663 00:30:28,160 --> 00:30:30,640 Speaker 1: but they're used to being the most important element of 664 00:30:30,680 --> 00:30:33,120 Speaker 1: American society. You know, you and I are very used 665 00:30:33,120 --> 00:30:36,480 Speaker 1: to online abuse. We like we can understand that world. 666 00:30:36,800 --> 00:30:39,160 Speaker 1: You know, yes, of course, it's what makes our jobs fun. Big. 667 00:30:39,440 --> 00:30:40,960 Speaker 1: There's a great story in Bandy Fair today that was 668 00:30:40,960 --> 00:30:43,280 Speaker 1: looking actually at the generation in the NBA and how 669 00:30:43,320 --> 00:30:45,480 Speaker 1: older NBA players want to just say, oh this, you know, 670 00:30:45,520 --> 00:30:47,280 Speaker 1: these young guys were terrible because X, Y and Z 671 00:30:47,400 --> 00:30:48,440 Speaker 1: in a way that we're you know, you and I 672 00:30:48,480 --> 00:30:50,920 Speaker 1: grew up watching sports and you know, hearing commentators say 673 00:30:50,920 --> 00:30:52,480 Speaker 1: things like that. But the young people in that and 674 00:30:52,600 --> 00:30:54,320 Speaker 1: going out, the younger NBA players are like, now, to 675 00:30:54,320 --> 00:30:56,120 Speaker 1: heck with this guy. Here's why blah blah blah been 676 00:30:56,200 --> 00:30:59,040 Speaker 1: pushing back. And it really is this microcosm that that 677 00:30:59,360 --> 00:31:02,240 Speaker 1: of the way in which they are not used to this. 678 00:31:02,400 --> 00:31:04,239 Speaker 1: They help power in the enemy there and they're not 679 00:31:04,400 --> 00:31:06,560 Speaker 1: used to having that be challenged in a way that 680 00:31:06,720 --> 00:31:09,240 Speaker 1: is so immediate to fans, right, And I think that's 681 00:31:09,240 --> 00:31:11,760 Speaker 1: a good microcosm of the effect that I'm talking about. 682 00:31:11,800 --> 00:31:14,280 Speaker 1: So that element is more like, these are people who 683 00:31:14,480 --> 00:31:17,560 Speaker 1: aren't used to being questioned when they when they're wielding 684 00:31:17,600 --> 00:31:19,840 Speaker 1: their power or whatever. Right, that's it. Yep. I can 685 00:31:19,840 --> 00:31:21,800 Speaker 1: see how that can manifest in all sorts of ways 686 00:31:21,880 --> 00:31:26,040 Speaker 1: in this country, and does manifest in in kind of 687 00:31:26,040 --> 00:31:29,600 Speaker 1: bad situations. Okay, So obviously Boomers very important to the 688 00:31:29,640 --> 00:31:33,680 Speaker 1: current fabric of America, A very misunderstood generation. Not all bad, 689 00:31:33,720 --> 00:31:35,840 Speaker 1: That's what I'm hearing. You know, we all probably know 690 00:31:35,880 --> 00:31:39,280 Speaker 1: some Boomers that we love, no question. You know, we 691 00:31:39,320 --> 00:31:41,840 Speaker 1: should be welcoming them and trying to understand them, right, 692 00:31:41,920 --> 00:31:45,880 Speaker 1: we shouldn't be making them outcasts. But what do we do? 693 00:31:46,000 --> 00:31:47,760 Speaker 1: How do we fix this? Is there a fix to it? 694 00:31:47,840 --> 00:31:49,640 Speaker 1: Is we got people? Just have to die? Is that 695 00:31:49,680 --> 00:31:52,200 Speaker 1: the answer to all of our current woes? When the 696 00:31:52,240 --> 00:31:54,240 Speaker 1: boomers are dying off? Like? Do we know what's going 697 00:31:54,320 --> 00:31:56,520 Speaker 1: to replace it? Are we gonna be plunged into chaos? 698 00:31:56,520 --> 00:31:59,680 Speaker 1: Like without a shared enemy? I mean, what happens? You 699 00:31:59,720 --> 00:32:03,360 Speaker 1: have to predict the future? Well, I mean, you know 700 00:32:03,440 --> 00:32:05,320 Speaker 1: the second half of the you know the books called 701 00:32:05,360 --> 00:32:07,040 Speaker 1: the Aftermath, right, So you know I do spend some 702 00:32:07,040 --> 00:32:08,600 Speaker 1: time trying to figure out what this looks like. You know, 703 00:32:08,600 --> 00:32:10,880 Speaker 1: I try and do so with humility, and you know, 704 00:32:11,080 --> 00:32:12,680 Speaker 1: I recognize that a lot of people who made a 705 00:32:12,720 --> 00:32:14,280 Speaker 1: lot of predictions in the past that are wrong. But 706 00:32:14,840 --> 00:32:16,000 Speaker 1: what I try to do is I try to look 707 00:32:16,000 --> 00:32:17,960 Speaker 1: at three things. I try to look at culture, economics, 708 00:32:17,960 --> 00:32:21,280 Speaker 1: and politics and estimate as the Baby Boom power WANs 709 00:32:21,360 --> 00:32:25,040 Speaker 1: what happens. And my determination was the Baby Boom has 710 00:32:25,280 --> 00:32:27,560 Speaker 1: much less full cultural power now they're not the dominant 711 00:32:27,560 --> 00:32:29,800 Speaker 1: cultural force, in part because culture tends to be the 712 00:32:29,800 --> 00:32:32,240 Speaker 1: domain of youth, and in part simply because you know, 713 00:32:32,360 --> 00:32:35,200 Speaker 1: these things change every time. You know, the cultural customs 714 00:32:35,480 --> 00:32:38,040 Speaker 1: tend to change. Economically, you know, there is a real 715 00:32:38,120 --> 00:32:41,000 Speaker 1: question what happens that some people with whom I spoke 716 00:32:41,480 --> 00:32:43,880 Speaker 1: estimate that you know, last year, two trillion dollars worth 717 00:32:43,880 --> 00:32:46,040 Speaker 1: of wealth was transferred out of the Baby Boom generation 718 00:32:46,080 --> 00:32:49,440 Speaker 1: dot places and part to institutions, in part through bequeathments 719 00:32:49,480 --> 00:32:51,400 Speaker 1: to family members, and a part through you know, just 720 00:32:51,480 --> 00:32:53,320 Speaker 1: paying for things like buying a kid a house or 721 00:32:53,320 --> 00:32:55,640 Speaker 1: paying for a kid's collapse, things along those lines. But 722 00:32:55,680 --> 00:32:57,520 Speaker 1: you know, they estimate more than fifty trillion dollars or 723 00:32:57,560 --> 00:32:59,320 Speaker 1: the course of the next two decades, where does that go? 724 00:32:59,520 --> 00:33:02,120 Speaker 1: You know? The answer that I've gotten mostly from folks 725 00:33:02,240 --> 00:33:04,640 Speaker 1: was probably too people who are already wealthy and their families. 726 00:33:05,000 --> 00:33:08,400 Speaker 1: It's a generational wealth. Yeah, no, absolutely right, you know, 727 00:33:08,800 --> 00:33:11,400 Speaker 1: but that also depends on how long boomers live and 728 00:33:11,440 --> 00:33:13,760 Speaker 1: how much how much they have medical costs, and whether 729 00:33:13,840 --> 00:33:15,640 Speaker 1: they're able to afford see your housing, and then a 730 00:33:15,640 --> 00:33:17,640 Speaker 1: lot of the determinations that are being made now. Right 731 00:33:18,200 --> 00:33:20,120 Speaker 1: when we talk about political power, you know, the immediate 732 00:33:20,160 --> 00:33:22,040 Speaker 1: question a lot of people have is, Okay, if America 733 00:33:22,120 --> 00:33:25,520 Speaker 1: is more diverse, as you know, among younger generations, they 734 00:33:25,560 --> 00:33:27,480 Speaker 1: tend to vote more heavily democratic, does that mean we 735 00:33:27,480 --> 00:33:31,000 Speaker 1: can't learn for an uber democratic future? And the answer 736 00:33:31,000 --> 00:33:34,000 Speaker 1: to that I have to show. The complexity is that 737 00:33:34,040 --> 00:33:36,320 Speaker 1: when you look at the Census Bureau's projections for what 738 00:33:36,400 --> 00:33:38,080 Speaker 1: the demography of the United States is going to look 739 00:33:38,080 --> 00:33:39,800 Speaker 1: like in twenty sixty, you break it out by age 740 00:33:39,800 --> 00:33:42,680 Speaker 1: and by race. The state in the Union it looks 741 00:33:42,720 --> 00:33:44,480 Speaker 1: the most like what the Census Spureau thinks, you know, 742 00:33:44,480 --> 00:33:46,040 Speaker 1: the United States will look like on the whole in 743 00:33:46,080 --> 00:33:48,320 Speaker 1: twenty sixty. The state that currently looks like that it 744 00:33:48,440 --> 00:33:51,680 Speaker 1: is Florida, the state of Florida is not uber Democrat. No, 745 00:33:51,880 --> 00:33:55,240 Speaker 1: that's not good. How is that possible? Why is it Florida. 746 00:33:56,280 --> 00:33:58,600 Speaker 1: Here's here's why it's Florida. It's FLORIDAUS. Florida is very old, 747 00:33:58,600 --> 00:34:01,160 Speaker 1: and Florida as the largest Spanic popular Yeah, okay, but 748 00:34:01,240 --> 00:34:04,840 Speaker 1: it consider the qualifiers. Florida's old population is very heavily 749 00:34:04,880 --> 00:34:07,840 Speaker 1: white and more conservative than the old population elsewhere. That's 750 00:34:07,840 --> 00:34:09,279 Speaker 1: not going to be the case in twenty sixty because 751 00:34:09,280 --> 00:34:11,279 Speaker 1: the old population is going to get more diverse as 752 00:34:11,520 --> 00:34:14,800 Speaker 1: America ages, right. And Second of all, Florida's Hispanic population 753 00:34:14,880 --> 00:34:17,600 Speaker 1: is very heavily Cuban American, which is a more conservative 754 00:34:17,719 --> 00:34:20,200 Speaker 1: group of Hispanic voters, and so that probably doesn't reflect 755 00:34:20,239 --> 00:34:22,160 Speaker 1: what Hispanic voters will look like in the future. It right, 756 00:34:22,160 --> 00:34:24,000 Speaker 1: So there are caveats, but again, the point is the 757 00:34:24,040 --> 00:34:26,480 Speaker 1: complexity here. What's number two? Do you know what number two? Sorry, 758 00:34:26,480 --> 00:34:28,359 Speaker 1: I don't mean to cut you off, but Florida's number one? 759 00:34:28,400 --> 00:34:30,440 Speaker 1: What is number two? Of course I do Joshua the 760 00:34:30,440 --> 00:34:32,239 Speaker 1: state of New Jersey, which is a very blue state. 761 00:34:32,320 --> 00:34:35,520 Speaker 1: I mean, that's interest, that's slightly I mean again, I'm sorry. 762 00:34:35,520 --> 00:34:37,560 Speaker 1: It is kind of shocking to me that you're telling me, 763 00:34:37,640 --> 00:34:41,799 Speaker 1: like when they look at what defines America in a way, 764 00:34:41,840 --> 00:34:45,160 Speaker 1: maybe it all makes sense. But when you're saying number 765 00:34:45,200 --> 00:34:48,200 Speaker 1: one and number two, it's what will define America potentially, 766 00:34:48,239 --> 00:34:50,200 Speaker 1: what America will look more like in the future. Is 767 00:34:50,480 --> 00:34:54,800 Speaker 1: number one Florida at number two New Jersey, two states 768 00:34:54,800 --> 00:34:57,719 Speaker 1: that are often often considered to be two of the 769 00:34:57,760 --> 00:35:00,000 Speaker 1: worst places in America. Now, I'm not saying I agree 770 00:35:00,080 --> 00:35:02,960 Speaker 1: with that, but it is like, ye, but I'm not 771 00:35:03,040 --> 00:35:05,359 Speaker 1: saying I agree with it. You know, there's wonderful parts 772 00:35:05,360 --> 00:35:07,879 Speaker 1: of Jersey, wonderful parts of Florida, but but they are 773 00:35:08,360 --> 00:35:11,200 Speaker 1: like a often like the joke, you know, the end 774 00:35:11,200 --> 00:35:12,640 Speaker 1: of a joke for a lot of people. You know, 775 00:35:12,680 --> 00:35:15,000 Speaker 1: Florida man is a thing because there's it seems like 776 00:35:15,040 --> 00:35:17,839 Speaker 1: she know, every day there's some absolutely outrageous story about 777 00:35:17,840 --> 00:35:20,360 Speaker 1: a guy who went crazy in Florida and Jersey. You know, 778 00:35:21,160 --> 00:35:22,960 Speaker 1: let's we don't have a whole another hour to talk 779 00:35:22,960 --> 00:35:25,480 Speaker 1: about all the but you know, these are cliches, but 780 00:35:25,480 --> 00:35:27,799 Speaker 1: it is interesting. Okay, what's number three? Do you know? 781 00:35:27,840 --> 00:35:29,600 Speaker 1: I'm just I gotta know, um, I don't know all 782 00:35:29,600 --> 00:35:31,200 Speaker 1: the stuff I had to inform care let's say it's 783 00:35:31,200 --> 00:35:33,359 Speaker 1: like Delaware or something maybe a little more. No, it's 784 00:35:33,360 --> 00:35:47,239 Speaker 1: definitely not Dello Delwar is too white. Okay, not at 785 00:35:47,280 --> 00:35:48,920 Speaker 1: the top ten states and look the most like what 786 00:35:49,000 --> 00:35:51,560 Speaker 1: the census spar projects the demophy will look like. Our 787 00:35:51,600 --> 00:35:55,040 Speaker 1: blue states are Biden votes. They are, which doesn't surprise interesting, right, Yeah, 788 00:35:55,120 --> 00:35:57,560 Speaker 1: But the sense of spirits projections just a you know, 789 00:35:57,600 --> 00:35:59,480 Speaker 1: and this is another chapter in the book. The sense 790 00:35:59,520 --> 00:36:02,080 Speaker 1: of spirits injections are based on an assumption that Hispanic 791 00:36:02,080 --> 00:36:04,799 Speaker 1: Americans will continue to identify as Hispanic. And they're all 792 00:36:04,880 --> 00:36:07,120 Speaker 1: sorts of calveiats to that, all sorts of calveats to 793 00:36:07,200 --> 00:36:09,680 Speaker 1: the way in which we measure diversity now, the way 794 00:36:09,680 --> 00:36:12,480 Speaker 1: in which we expect diversity to unfold over long term, 795 00:36:12,680 --> 00:36:15,560 Speaker 1: which may change that. It may mean that we actually 796 00:36:15,640 --> 00:36:18,520 Speaker 1: have a more conservative America than people expect. I mean, 797 00:36:18,640 --> 00:36:22,320 Speaker 1: isn't that in a way the assumption that an older 798 00:36:22,320 --> 00:36:24,680 Speaker 1: generation of any voter will act like a younger generation, 799 00:36:24,680 --> 00:36:26,520 Speaker 1: and sort of because that, I guess what would be 800 00:36:26,560 --> 00:36:29,640 Speaker 1: considered more blue, right, the Hispanic population If it's more 801 00:36:29,680 --> 00:36:32,000 Speaker 1: blue today, a younger probably. I mean, I don't know 802 00:36:32,040 --> 00:36:33,799 Speaker 1: how it's used, but I have to imagine it's got 803 00:36:33,800 --> 00:36:35,680 Speaker 1: to be maybe is it not younger, I don't know, 804 00:36:35,760 --> 00:36:39,279 Speaker 1: but as it gets older, I mean, isn't there just 805 00:36:39,360 --> 00:36:41,320 Speaker 1: there as an opportunity there for that older generation to 806 00:36:41,400 --> 00:36:43,799 Speaker 1: become more conservative as older people seem to do, like 807 00:36:43,960 --> 00:36:46,200 Speaker 1: because you're like, hey, I don't want people to get 808 00:36:46,200 --> 00:36:48,200 Speaker 1: the thing that's supposed to be mine, or I don't 809 00:36:48,239 --> 00:36:49,800 Speaker 1: you know, I don't want to be paying taxes for 810 00:36:49,840 --> 00:36:51,880 Speaker 1: these new people who just showed up or whatever the 811 00:36:52,239 --> 00:36:54,320 Speaker 1: whatever the I don't know. I can't put my mind 812 00:36:54,360 --> 00:36:57,160 Speaker 1: in the in the space to really understand the complaints. 813 00:36:57,160 --> 00:37:00,880 Speaker 1: But right, like, there's no guarantee that person who is 814 00:37:00,960 --> 00:37:05,160 Speaker 1: today a Democrat young and not like worried about the 815 00:37:05,160 --> 00:37:07,480 Speaker 1: same things would be sixty years old and feel the 816 00:37:07,520 --> 00:37:10,000 Speaker 1: same way. Well, you get to a few things there, 817 00:37:10,080 --> 00:37:14,480 Speaker 1: and one is that, hey, the parties themselves are fungible, 818 00:37:14,600 --> 00:37:17,680 Speaker 1: right Like, the Republican Party in twenty years time doesn't 819 00:37:17,680 --> 00:37:20,200 Speaker 1: have to have the same values and principles of the 820 00:37:20,320 --> 00:37:22,600 Speaker 1: Romical Party today though, And in fact, I think you will. 821 00:37:22,920 --> 00:37:25,319 Speaker 1: I think it will. Well, I mean, if it does, 822 00:37:25,360 --> 00:37:27,160 Speaker 1: then it's going to get you know, twenty percent votes share, 823 00:37:27,200 --> 00:37:29,960 Speaker 1: I think, right, And that's just good. Okay. So the 824 00:37:30,040 --> 00:37:32,360 Speaker 1: other thing is that, yeah, I mean when we talk 825 00:37:32,440 --> 00:37:35,960 Speaker 1: about this idea that people get more conservative as the age, 826 00:37:36,280 --> 00:37:39,279 Speaker 1: you know, that's based on we don't really have a great, long, 827 00:37:39,440 --> 00:37:42,279 Speaker 1: lengthy history of social science research, right right. You know, 828 00:37:42,320 --> 00:37:44,600 Speaker 1: it goes back to you know, not even a century 829 00:37:44,640 --> 00:37:46,759 Speaker 1: in terms of polling, goes less than that in terms 830 00:37:46,760 --> 00:37:49,719 Speaker 1: of like solid scientific research on sociological trans and things 831 00:37:49,719 --> 00:37:52,399 Speaker 1: along those lines. So even if we assume that's true though, 832 00:37:52,400 --> 00:37:54,520 Speaker 1: which I don't know that we have a sufficient enough 833 00:37:54,520 --> 00:37:56,520 Speaker 1: sample size to say it is. Even if we assume 834 00:37:56,560 --> 00:37:59,120 Speaker 1: that's true, we're basing it on a very white population 835 00:37:59,120 --> 00:38:02,239 Speaker 1: of Americans. Right, Older black Americans today, they they're not 836 00:38:02,560 --> 00:38:05,759 Speaker 1: more conservative. Right, Older Spanic Americans to day still vote 837 00:38:05,760 --> 00:38:08,040 Speaker 1: heavily Democrats, right right, There are a reason to think 838 00:38:08,080 --> 00:38:10,680 Speaker 1: that those populations that are non whitey're going to get 839 00:38:10,680 --> 00:38:13,080 Speaker 1: more Republican. I don't know who there is. Well, actually, 840 00:38:13,120 --> 00:38:15,279 Speaker 1: I mean, just going back to that point about the 841 00:38:15,360 --> 00:38:17,759 Speaker 1: future of the Republican Party. I mean, if anything, in 842 00:38:18,200 --> 00:38:21,960 Speaker 1: my adult life, I have seen the Republican Party become 843 00:38:22,280 --> 00:38:25,480 Speaker 1: less progressive. It was not normal when I was younger 844 00:38:25,560 --> 00:38:27,920 Speaker 1: for people who were identified as Republican to be like 845 00:38:28,040 --> 00:38:32,120 Speaker 1: kind of outspoken, full on racists or Nazis or like 846 00:38:32,160 --> 00:38:35,400 Speaker 1: aligning themselves with like, you know, white supremacy. That's a 847 00:38:35,440 --> 00:38:37,480 Speaker 1: pretty common thing in the Republican Party from what I 848 00:38:37,480 --> 00:38:40,040 Speaker 1: can tell. Now. A lot of it maybe broad trudged 849 00:38:40,120 --> 00:38:42,640 Speaker 1: up because of Trump, but like I mean, I remember 850 00:38:42,640 --> 00:38:46,160 Speaker 1: when Obama was running, you know, the first time around, 851 00:38:46,200 --> 00:38:48,400 Speaker 1: and it was like there was sort of unabashed like 852 00:38:48,440 --> 00:38:51,520 Speaker 1: oh ooh, people are bringing like you know, monkeys to rallies, 853 00:38:51,560 --> 00:38:52,799 Speaker 1: you know, to make fun of him, and just like 854 00:38:52,880 --> 00:38:56,000 Speaker 1: really weird racist shit that I'd never seen happen in 855 00:38:56,040 --> 00:38:59,360 Speaker 1: America in politics, not to that degree. That was just 856 00:38:59,440 --> 00:39:02,160 Speaker 1: kind of out just people couldn't help themselves. It was 857 00:39:02,160 --> 00:39:04,439 Speaker 1: like very outspoken. To me, I've seen the Republican Party 858 00:39:04,480 --> 00:39:08,360 Speaker 1: seemingly go further into some kind of weird, you know, 859 00:39:08,520 --> 00:39:13,279 Speaker 1: race based sort of conservative standpoint. Like so explain that 860 00:39:13,320 --> 00:39:15,880 Speaker 1: to me, because it based on what you're saying, Like 861 00:39:15,920 --> 00:39:19,000 Speaker 1: it kind of like the thing with medicare. They're like, no, 862 00:39:19,040 --> 00:39:21,080 Speaker 1: we don't want that, we want to be whatever the 863 00:39:21,120 --> 00:39:23,200 Speaker 1: boomers are asking for it. But but I don't know that. 864 00:39:23,960 --> 00:39:26,160 Speaker 1: I mean, again, you said it was a very white generation. 865 00:39:26,239 --> 00:39:29,000 Speaker 1: But I see a Republican Party that moves further and 866 00:39:29,040 --> 00:39:33,120 Speaker 1: further to an extreme right position, which feels incompatible with 867 00:39:33,800 --> 00:39:36,120 Speaker 1: what you're to. What you're saying the demographics of the 868 00:39:36,160 --> 00:39:38,680 Speaker 1: country as they as they are evolving, And I am 869 00:39:38,680 --> 00:39:41,319 Speaker 1: I mistaken and in reading it that way, No, you're 870 00:39:41,320 --> 00:39:43,719 Speaker 1: not mistaken that. What you're doing, though, is you're you're 871 00:39:43,800 --> 00:39:46,360 Speaker 1: restating the thesis of the book, right, which is that 872 00:39:46,640 --> 00:39:49,240 Speaker 1: what happens in two thousand days, Barack Obama is elected 873 00:39:49,320 --> 00:39:51,160 Speaker 1: and at the same time you start to see this 874 00:39:51,200 --> 00:39:54,439 Speaker 1: extremely sharp divide between older and younger Americans. Now they vote, 875 00:39:54,440 --> 00:39:57,160 Speaker 1: you have a new cadre of more diverse younger Americans 876 00:39:57,239 --> 00:39:58,920 Speaker 1: coming out to vote for a candid who excites them, 877 00:39:58,960 --> 00:40:01,160 Speaker 1: who isn't John Kerry, who is an al Gore. In 878 00:40:01,160 --> 00:40:04,319 Speaker 1: two thousand they'd left Barack Obama. And then you have 879 00:40:04,360 --> 00:40:06,480 Speaker 1: a reaction to that, which is a lot of people, 880 00:40:06,520 --> 00:40:09,120 Speaker 1: older people joining this tea party movement thing which is 881 00:40:09,160 --> 00:40:13,000 Speaker 1: heavily predicated on giving government funding to non white Americans, 882 00:40:13,040 --> 00:40:15,840 Speaker 1: on a perception of immigration as this toxic thing. But 883 00:40:15,880 --> 00:40:17,879 Speaker 1: also if you speak to people who study this thing, 884 00:40:18,160 --> 00:40:21,920 Speaker 1: concerned by older Americans about their younger family members who 885 00:40:21,920 --> 00:40:25,560 Speaker 1: are under the sway of this socialist who's not even white. Right, 886 00:40:25,560 --> 00:40:28,680 Speaker 1: this is a moment in which all this becomes very impotent. 887 00:40:28,840 --> 00:40:30,480 Speaker 1: Then you layer on top of that the census spirit 888 00:40:30,520 --> 00:40:32,759 Speaker 1: of first pinkance, projection of oh, by the way, in 889 00:40:32,760 --> 00:40:34,720 Speaker 1: the next couple decades, whites are gonna be a minority 890 00:40:34,719 --> 00:40:37,960 Speaker 1: in the country, and everyone freaks out. And that's the moment. 891 00:40:38,000 --> 00:40:39,640 Speaker 1: This is why we're seeing this now, You're right, it 892 00:40:39,880 --> 00:40:43,279 Speaker 1: predates Trump. Trump leveraged it very successfully, leveraged BLM in 893 00:40:43,320 --> 00:40:46,239 Speaker 1: twenty fourteen, the Immigration Surgeon twenty fourteen for his twenty 894 00:40:46,280 --> 00:40:49,200 Speaker 1: fifteen launch of twenty sixteen campaign. But it predates him, 895 00:40:49,200 --> 00:40:52,640 Speaker 1: and it centers around an older, whiter America suddenly coming 896 00:40:52,640 --> 00:40:55,520 Speaker 1: to terms with they're losing their grip on power with 897 00:40:55,560 --> 00:40:58,640 Speaker 1: the election of Barack Obama. Right. I have long felt that, 898 00:40:59,160 --> 00:41:02,759 Speaker 1: I'm sure you have expressed this, that Trump's rise to 899 00:41:02,880 --> 00:41:06,120 Speaker 1: power as the voice of the Republican Party is like 900 00:41:06,200 --> 00:41:10,520 Speaker 1: the death rattle of this generational thinking or this party 901 00:41:10,560 --> 00:41:13,840 Speaker 1: the way it has been. Like my hope was that 902 00:41:14,000 --> 00:41:16,280 Speaker 1: like this was like close to the final most toxic, 903 00:41:16,360 --> 00:41:19,319 Speaker 1: most sort of deranged element kind of trying to get 904 00:41:19,360 --> 00:41:22,239 Speaker 1: its last gasp after they've experienced the Obama years and 905 00:41:22,280 --> 00:41:24,880 Speaker 1: had to think about in America where we could have 906 00:41:24,880 --> 00:41:27,920 Speaker 1: a black president and then some like you know, but 907 00:41:28,040 --> 00:41:31,560 Speaker 1: it doesn't feel like that was a temporary death rattle. 908 00:41:31,600 --> 00:41:34,520 Speaker 1: It feels like it was a more permanent, like realigning 909 00:41:34,719 --> 00:41:36,800 Speaker 1: of I don't know, like a set of values, like 910 00:41:36,840 --> 00:41:39,160 Speaker 1: I understand, holding onto the things that they feel like 911 00:41:39,200 --> 00:41:40,920 Speaker 1: we're the way they were and that they want them 912 00:41:40,960 --> 00:41:43,640 Speaker 1: to stay like. But it's unclear to me how a 913 00:41:43,640 --> 00:41:46,360 Speaker 1: political party in this country can navigate from that position 914 00:41:46,360 --> 00:41:49,040 Speaker 1: and we don't just end up in essentially like some 915 00:41:49,120 --> 00:41:52,239 Speaker 1: kind of civil war, a race based sort of war here, 916 00:41:52,320 --> 00:41:54,680 Speaker 1: because like, what's the logical end of that? I mean 917 00:41:55,000 --> 00:41:58,360 Speaker 1: not to be overly dramatic, but it feels like, what 918 00:41:58,520 --> 00:42:00,359 Speaker 1: is it We just wait for that generation to die 919 00:42:00,400 --> 00:42:01,879 Speaker 1: out and hope that we don't meant too many new 920 00:42:01,920 --> 00:42:06,120 Speaker 1: people Like that is that basically the solution? So I'll 921 00:42:06,160 --> 00:42:08,520 Speaker 1: start by saying, there are four things that identified as 922 00:42:08,640 --> 00:42:12,000 Speaker 1: unknowns that that you know could certainly change the shape 923 00:42:12,000 --> 00:42:14,160 Speaker 1: of climate change is one of them. You know, how 924 00:42:14,160 --> 00:42:16,319 Speaker 1: long people live? As another with the extent to which 925 00:42:16,320 --> 00:42:19,440 Speaker 1: Hispanics continue identifies hispanic as. The third and the fourth 926 00:42:19,520 --> 00:42:22,600 Speaker 1: is does America survive as a pluralistic democracy? And yeah, right, 927 00:42:22,680 --> 00:42:24,880 Speaker 1: that is very much up in the air. It's not clear. 928 00:42:24,920 --> 00:42:26,399 Speaker 1: I mean, I think twenty twenty two was a good 929 00:42:26,400 --> 00:42:28,799 Speaker 1: step in that direction. But you know, you know, every 930 00:42:28,800 --> 00:42:30,880 Speaker 1: time I spoke with political science, they'd be like, well, 931 00:42:30,920 --> 00:42:33,279 Speaker 1: assuming America surprize as it is, ben X and I 932 00:42:33,320 --> 00:42:35,239 Speaker 1: spell that people who were very much like you know, 933 00:42:35,280 --> 00:42:38,279 Speaker 1: I mean, look, democracy, true pluralistic dromocracy in the United 934 00:42:38,280 --> 00:42:40,400 Speaker 1: States began in the nineteen sixties, began at the end 935 00:42:40,400 --> 00:42:42,239 Speaker 1: of the Baby boom. Right. You know, one of the 936 00:42:42,280 --> 00:42:44,440 Speaker 1: fascinating things that I noted in the book, which is 937 00:42:44,480 --> 00:42:46,279 Speaker 1: sort of the tangential here, is that you know, this 938 00:42:46,280 --> 00:42:49,680 Speaker 1: this whole reaction to like schools being named after Confederate leaders, 939 00:42:49,719 --> 00:42:51,799 Speaker 1: after Brown vers support of education. The reason there are 940 00:42:51,840 --> 00:42:53,960 Speaker 1: so many schools to name was because the Baby boom 941 00:42:53,960 --> 00:42:55,520 Speaker 1: and made them had to have to build all these schools. 942 00:42:55,560 --> 00:42:58,080 Speaker 1: And so you see this entrenchment of a very particular 943 00:42:58,200 --> 00:43:00,840 Speaker 1: style of American politics right at the moment the boom 944 00:43:00,920 --> 00:43:03,000 Speaker 1: is on set, and right when all of a sudden 945 00:43:03,000 --> 00:43:05,640 Speaker 1: you start to see blacks get more power. So yes, 946 00:43:05,680 --> 00:43:08,319 Speaker 1: that's very much a question mark. I do think it's 947 00:43:08,360 --> 00:43:10,560 Speaker 1: important to note three things. The first is that in 948 00:43:10,640 --> 00:43:13,040 Speaker 1: twenty twelve, the Republican Party said, look, we either need 949 00:43:13,080 --> 00:43:14,960 Speaker 1: to become pluralistic or we need to, like, you know, 950 00:43:15,000 --> 00:43:17,000 Speaker 1: figure out what we're gonna do, and Donald Trump is like, 951 00:43:17,040 --> 00:43:18,800 Speaker 1: you know, we're gonna just you know, triple down on 952 00:43:18,840 --> 00:43:21,360 Speaker 1: appealing to the white vote. Then what happens is he 953 00:43:21,400 --> 00:43:23,239 Speaker 1: wins in sixteen by the skin of his teeth, he 954 00:43:23,280 --> 00:43:25,279 Speaker 1: loses in twenty and then the party gets demolished in 955 00:43:25,280 --> 00:43:27,840 Speaker 1: twenty twenty two. Doesn't get demolished, it does it underperforms 956 00:43:27,840 --> 00:43:29,879 Speaker 1: in twenty twenty two, do well, didn't do good? Yeah, 957 00:43:29,920 --> 00:43:32,040 Speaker 1: what's the party's first reaction? Ronald McDaniel says, you know, 958 00:43:32,080 --> 00:43:33,160 Speaker 1: what we need to do is reach out to a 959 00:43:33,200 --> 00:43:35,560 Speaker 1: more diverse group of voters, which they do need to do, 960 00:43:35,600 --> 00:43:37,160 Speaker 1: and the party recognize that. Right. Will they do it 961 00:43:37,200 --> 00:43:38,719 Speaker 1: with the short term I don't know, but I think 962 00:43:38,760 --> 00:43:41,040 Speaker 1: they internally recognize that something you have to do. The 963 00:43:41,080 --> 00:43:44,560 Speaker 1: second thing is that the issues on which younger Americans 964 00:43:44,600 --> 00:43:47,520 Speaker 1: are more concerned, the Republican Party actually has moved left, 965 00:43:47,640 --> 00:43:50,840 Speaker 1: not on race based stuff necessarily, but on LGBTQ issues 966 00:43:51,160 --> 00:43:53,520 Speaker 1: on things like climate change, the Republican Party is not 967 00:43:53,600 --> 00:43:56,880 Speaker 1: as stringent as it was fifteen twenty years ago. Twenty 968 00:43:57,120 --> 00:43:59,520 Speaker 1: two thousand and four, the party put all these anti 969 00:43:59,560 --> 00:44:02,120 Speaker 1: seems that marriage ballot measures to try and boost George 970 00:44:02,120 --> 00:44:07,040 Speaker 1: Bush's reelection right right, Nowadays, the party ostensibly and often 971 00:44:07,120 --> 00:44:09,239 Speaker 1: you know, basically the subset of the party which is 972 00:44:09,320 --> 00:44:12,799 Speaker 1: fervently anti same sex marriage. Yeah, is a minority that 973 00:44:12,960 --> 00:44:15,560 Speaker 1: is a change, and that overlaps with a thing that 974 00:44:15,719 --> 00:44:17,840 Speaker 1: is very central to younger voters. So it is already 975 00:44:17,840 --> 00:44:20,960 Speaker 1: making changes to be different to this group of voters 976 00:44:20,960 --> 00:44:23,799 Speaker 1: than it used to be, right. I mean, it is 977 00:44:23,920 --> 00:44:26,080 Speaker 1: fascinating to think about a future state of the Republican 978 00:44:26,120 --> 00:44:28,960 Speaker 1: Party that actually embraces that stuff, because I feel like, yes, 979 00:44:29,080 --> 00:44:32,200 Speaker 1: on the surface, that is feels like it's true that 980 00:44:32,239 --> 00:44:36,120 Speaker 1: there's been a loosening of sort of the conservative viewpoint 981 00:44:36,200 --> 00:44:40,640 Speaker 1: on things like the LGBTQ plus community, But at the 982 00:44:40,680 --> 00:44:44,040 Speaker 1: same time, I feel like, deep down they definitely would 983 00:44:44,120 --> 00:44:46,839 Speaker 1: vote against anything that helps out that community. Right, They're 984 00:44:46,840 --> 00:44:49,080 Speaker 1: not really all had problem boys that the junior says, sure, 985 00:44:49,440 --> 00:44:51,880 Speaker 1: right exactly, and and and the leader of their party 986 00:44:51,960 --> 00:44:54,640 Speaker 1: is absolutely not aligning around. I mean, I guess in 987 00:44:54,640 --> 00:44:56,759 Speaker 1: a way, maybe Trump is more progressive on that front 988 00:44:56,760 --> 00:45:01,360 Speaker 1: than than some of the other potential candidates, because he 989 00:45:01,400 --> 00:45:04,040 Speaker 1: at least kind of acknowledges the existence of those people, 990 00:45:04,040 --> 00:45:05,520 Speaker 1: where I think a lot of Republicans for a long 991 00:45:05,600 --> 00:45:08,399 Speaker 1: time did not. But unfortunately we don't have enough time. 992 00:45:08,440 --> 00:45:10,640 Speaker 1: I want to keep going because there's I'm so fascinating 993 00:45:10,680 --> 00:45:13,239 Speaker 1: by this, but I gotta say, like these sort of 994 00:45:13,280 --> 00:45:16,360 Speaker 1: big questions that you're you're opposing about, like the future 995 00:45:16,400 --> 00:45:20,400 Speaker 1: of America, are absolutely fascinating. I'm dying now, dying to 996 00:45:20,480 --> 00:45:23,560 Speaker 1: read the book because you know, I like the setup, 997 00:45:23,600 --> 00:45:25,799 Speaker 1: but now hearing you actually dig into it, it's just 998 00:45:25,840 --> 00:45:28,520 Speaker 1: to me, it's just it sounds like such a fertile 999 00:45:28,960 --> 00:45:31,880 Speaker 1: and frankly confusing moment in our history. I mean, to 1000 00:45:31,920 --> 00:45:34,400 Speaker 1: your point about people saying, well, maybe we don't continue 1001 00:45:34,440 --> 00:45:38,080 Speaker 1: to be you know, this democracy that we've enjoyed. I 1002 00:45:38,160 --> 00:45:40,280 Speaker 1: know that it's talked about a lot. But what's interesting 1003 00:45:40,400 --> 00:45:42,160 Speaker 1: is I mean, and of course this is your forte 1004 00:45:42,880 --> 00:45:46,200 Speaker 1: presenting like data against the possibility of it and understanding 1005 00:45:46,239 --> 00:45:48,520 Speaker 1: the demographics that could drive something like that makes it 1006 00:45:48,560 --> 00:45:51,240 Speaker 1: feel a lot more real. And so that's just scary 1007 00:45:51,280 --> 00:45:54,880 Speaker 1: and fascinating to me. Philip. Thank you so much for 1008 00:45:54,920 --> 00:45:57,360 Speaker 1: coming on and doing this. The book is the aftermath 1009 00:45:57,520 --> 00:45:59,680 Speaker 1: what is the subtitle of the book, The Last Days 1010 00:45:59,680 --> 00:46:01,919 Speaker 1: of the Boom in the Future of Power in America. Yeah, 1011 00:46:01,920 --> 00:46:03,719 Speaker 1: so that sounds very dramatic. I know I was being 1012 00:46:03,800 --> 00:46:05,799 Speaker 1: dramatic during this, but I got to sell books, man, 1013 00:46:05,920 --> 00:46:08,160 Speaker 1: you know, absolutely fantastic conversation. You've got to come back 1014 00:46:08,160 --> 00:46:18,399 Speaker 1: and do this again soon, of course. Thank you. Well, 1015 00:46:18,400 --> 00:46:22,160 Speaker 1: that was a fascinating conversation. I feel like I learned 1016 00:46:22,160 --> 00:46:25,960 Speaker 1: a lot and yet have so many more questions. We're 1017 00:46:25,960 --> 00:46:28,360 Speaker 1: gonna have to have phill It back, especially with twenty 1018 00:46:28,400 --> 00:46:31,200 Speaker 1: twenty four being just around the corner, which sounds crazy, 1019 00:46:31,440 --> 00:46:35,240 Speaker 1: that sounds wrong, But with every passing day we're getting 1020 00:46:35,239 --> 00:46:39,760 Speaker 1: closer and closer to a presidential election in this country, 1021 00:46:39,800 --> 00:46:44,239 Speaker 1: which sounds very frightening and upsetting to me personally. But 1022 00:46:44,920 --> 00:46:46,640 Speaker 1: love to find out what a boomer thinks about it. 1023 00:46:46,800 --> 00:46:48,640 Speaker 1: Love to get in there and just chat with them. 1024 00:46:48,760 --> 00:46:51,200 Speaker 1: Maybe I will. So, yeah, I got to get Phillip 1025 00:46:51,280 --> 00:46:56,840 Speaker 1: back to discuss the florification of America. Well, that is 1026 00:46:56,880 --> 00:47:00,560 Speaker 1: our show for this week. We'll be back next week, finally, thankfully, 1027 00:47:00,880 --> 00:47:03,319 Speaker 1: with more what future, and as always, I wish you 1028 00:47:03,360 --> 00:47:05,040 Speaker 1: and your family the very best.