1 00:00:11,697 --> 00:00:14,937 Speaker 1: You're listening to The Buck Sexton Show podcast, make sure 2 00:00:14,977 --> 00:00:17,977 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 3 00:00:18,017 --> 00:00:19,737 Speaker 1: wherever you get your podcasts. 4 00:00:20,097 --> 00:00:23,057 Speaker 2: Hey, everybody, Welcome to the Buck Sexton Show. On this 5 00:00:23,257 --> 00:00:26,457 Speaker 2: edition we have Chris Williamson with us. He is the 6 00:00:26,497 --> 00:00:30,497 Speaker 2: host of the very excellent Modern Wisdom podcast, which you 7 00:00:30,497 --> 00:00:35,297 Speaker 2: can get wherever you get your podcast, Spotify, et cetera. Chris, 8 00:00:35,457 --> 00:00:37,497 Speaker 2: first time of the program, Sir, thank you for joining us. 9 00:00:38,257 --> 00:00:40,017 Speaker 1: Thank you, mister Sexton. How are we? 10 00:00:40,417 --> 00:00:44,297 Speaker 2: I'm you know, pretty good man, pretty good. I wanted 11 00:00:44,297 --> 00:00:47,137 Speaker 2: to give you just the floor for a minute here 12 00:00:47,137 --> 00:00:49,617 Speaker 2: to tell everybody. Generally, we have people, so a lot 13 00:00:49,657 --> 00:00:50,937 Speaker 2: of this is going to be people from the Clay 14 00:00:50,937 --> 00:00:53,377 Speaker 2: and Buck audience who subscribe to our podcast and they 15 00:00:53,417 --> 00:00:57,337 Speaker 2: hear this and they usually know our folks from radio 16 00:00:57,377 --> 00:01:00,497 Speaker 2: world or conservative media world more broadly. But you're a 17 00:01:01,417 --> 00:01:03,777 Speaker 2: You're just like a real deal podcast or a guy. 18 00:01:03,897 --> 00:01:06,817 Speaker 2: You're a jack of many trades. You're a guy who 19 00:01:06,857 --> 00:01:10,817 Speaker 2: crosses all boundaries and back rounds in terms of the 20 00:01:10,857 --> 00:01:14,137 Speaker 2: kind of people who listen. So just tell everybody who 21 00:01:14,177 --> 00:01:16,377 Speaker 2: is Chris Williams. Where'd this guy come from? With the 22 00:01:16,417 --> 00:01:17,097 Speaker 2: cool accent. 23 00:01:18,257 --> 00:01:21,857 Speaker 1: So born in the northeast of the UK, spent fifteen 24 00:01:21,897 --> 00:01:24,857 Speaker 1: years running one of the biggest events companies in the UK. 25 00:01:25,417 --> 00:01:27,977 Speaker 1: One thousand Club Nights stood on the front door of 26 00:01:28,137 --> 00:01:31,337 Speaker 1: Cold Northeast Evenings. I met about a million people, did 27 00:01:31,377 --> 00:01:34,297 Speaker 1: a bunch of reality TV, got a blue tick on Twitter, 28 00:01:34,417 --> 00:01:37,657 Speaker 1: and free charcoal, toothpaste and all of the big wins, 29 00:01:38,257 --> 00:01:39,697 Speaker 1: and then kind of got toward the end of my 30 00:01:39,697 --> 00:01:41,217 Speaker 1: twenties and thought, is this really all that I've got 31 00:01:41,217 --> 00:01:44,097 Speaker 1: to offer the world? Started a podcast, really enjoyed it. 32 00:01:44,297 --> 00:01:47,857 Speaker 1: Podcast kicked off, did very very well, and a year 33 00:01:47,857 --> 00:01:50,817 Speaker 1: and a bit ago I made the choice to become 34 00:01:50,817 --> 00:01:55,657 Speaker 1: an immigrant to your great nation. Survived my first July fourth, 35 00:01:55,817 --> 00:02:00,057 Speaker 1: very difficult day for me, and I've done two Thanksgivings 36 00:02:00,137 --> 00:02:02,617 Speaker 1: now and I think that pretty much means that I'm 37 00:02:02,617 --> 00:02:03,137 Speaker 1: here to stay. 38 00:02:03,577 --> 00:02:05,817 Speaker 2: That's fantastic. I was going to say, the first step 39 00:02:05,937 --> 00:02:08,737 Speaker 2: is getting you to become an American, which is obviously 40 00:02:08,737 --> 00:02:11,217 Speaker 2: the best decision anybody can make from the UK to 41 00:02:11,337 --> 00:02:13,737 Speaker 2: anywhere else. But then it would be to get you 42 00:02:13,777 --> 00:02:16,057 Speaker 2: to a wonderful red state in America. But I believe 43 00:02:16,097 --> 00:02:19,777 Speaker 2: you already inhabit one in Texas. Right on that way. 44 00:02:21,497 --> 00:02:24,017 Speaker 2: You know the Florida Texas You know how there's like 45 00:02:24,097 --> 00:02:27,417 Speaker 2: Yankees Red Sox, and there's these rivalries, the Florida Texas 46 00:02:27,497 --> 00:02:31,737 Speaker 2: red state rivalry, which is a friendly but increasingly fierce 47 00:02:31,737 --> 00:02:34,897 Speaker 2: one because you know, Texas was the heart of conservatism 48 00:02:35,297 --> 00:02:38,737 Speaker 2: in America for a while, certainly for the last few decades, 49 00:02:39,217 --> 00:02:41,577 Speaker 2: and it was actually California a little bit before that, 50 00:02:41,617 --> 00:02:43,617 Speaker 2: which people forget. But that's a whole other conversation if 51 00:02:43,657 --> 00:02:45,417 Speaker 2: you go way way back to the you know, the eighties. 52 00:02:46,257 --> 00:02:49,537 Speaker 2: But now you have Florida up in its game in 53 00:02:49,537 --> 00:02:50,817 Speaker 2: a big way. Maybe we'll get to that a little 54 00:02:50,817 --> 00:02:53,977 Speaker 2: bit later. Let's start with this. You do a podcast 55 00:02:54,137 --> 00:02:58,177 Speaker 2: which allows you to find out the most interesting things 56 00:02:58,177 --> 00:03:00,217 Speaker 2: from people who are trying to find out the most 57 00:03:00,257 --> 00:03:04,377 Speaker 2: important things in their discipline, their area. Well, what's just 58 00:03:04,537 --> 00:03:06,497 Speaker 2: when someone says to you, like, what do you get 59 00:03:06,537 --> 00:03:09,297 Speaker 2: from modern wisdom? Like? What am I going to learn about? 60 00:03:09,337 --> 00:03:11,257 Speaker 2: I mean, I actually I think it's interesting. I know 61 00:03:11,297 --> 00:03:13,937 Speaker 2: this is like becoming a podcast about your podcast, But 62 00:03:14,457 --> 00:03:15,817 Speaker 2: what are some of the things that you've learned from 63 00:03:15,857 --> 00:03:21,217 Speaker 2: talking to these people? These whatever thought leaders, gurus, intellectuals. 64 00:03:21,457 --> 00:03:23,177 Speaker 2: All you have all kinds of folks. What do you learn? 65 00:03:24,177 --> 00:03:26,417 Speaker 1: So I've had about six hundred episodes now one hundred 66 00:03:26,417 --> 00:03:29,937 Speaker 1: plus New York Times bestsellers. People like John Peterson, Andrew Human, 67 00:03:30,017 --> 00:03:34,057 Speaker 1: David Goggins, Jocko Willink, et cetera, et cetera. You'll learn 68 00:03:34,057 --> 00:03:36,857 Speaker 1: awful lot. My curiosity is pretty big. One of the 69 00:03:36,897 --> 00:03:40,537 Speaker 1: common themes between everybody recently, I think has been a 70 00:03:40,737 --> 00:03:44,177 Speaker 1: concern about fragility for the new generation that's coming through. 71 00:03:44,537 --> 00:03:51,897 Speaker 1: I think everyone is un impressed by the work ethic 72 00:03:51,977 --> 00:03:55,577 Speaker 1: and the resilience of people that are coming through. 73 00:03:55,657 --> 00:03:57,057 Speaker 2: I don't know. 74 00:03:57,377 --> 00:03:59,897 Speaker 1: I wonder why that's the case. I don't disagree with them. 75 00:04:00,217 --> 00:04:02,337 Speaker 1: That's been something that I've been very interested in recently. 76 00:04:02,817 --> 00:04:05,097 Speaker 1: Declining birth rates has been something else I've been very 77 00:04:05,097 --> 00:04:07,617 Speaker 1: interested in recently. But the show for me is mostly 78 00:04:07,617 --> 00:04:09,697 Speaker 1: about finding out about myself and the world around me, 79 00:04:10,097 --> 00:04:12,617 Speaker 1: a stunning human nature. Why I am the way I am. 80 00:04:13,257 --> 00:04:15,617 Speaker 2: Really, Let's talk about gen z thing for a second, right, 81 00:04:15,617 --> 00:04:18,657 Speaker 2: because I you know, when I do on the podcasting 82 00:04:18,777 --> 00:04:22,057 Speaker 2: side and then uh TV, I feel like I generally 83 00:04:22,057 --> 00:04:24,137 Speaker 2: and I'm speaking to people who are on the younger end, 84 00:04:24,137 --> 00:04:25,777 Speaker 2: and then you know, Twitter and social media is probably 85 00:04:25,817 --> 00:04:30,337 Speaker 2: the youngest end of what conservative media people are, how 86 00:04:30,337 --> 00:04:32,777 Speaker 2: they're interacting with audience. And then you know, terrestrial radio, 87 00:04:32,897 --> 00:04:35,617 Speaker 2: old school radio, you tend to have an older audience. 88 00:04:35,617 --> 00:04:38,777 Speaker 2: And I hear from them, right, I hear from the 89 00:04:39,337 --> 00:04:42,417 Speaker 2: boomer boomer squad. I love them, a lot of boomers 90 00:04:42,417 --> 00:04:46,177 Speaker 2: who listen. I hear from them that the generations below 91 00:04:46,257 --> 00:04:50,577 Speaker 2: them are, you know, not not showing up, not doing 92 00:04:50,577 --> 00:04:52,137 Speaker 2: the hard work, all that kind of stuff. What I 93 00:04:52,137 --> 00:04:55,257 Speaker 2: think is interesting, though, is that I'm a millennial, believe 94 00:04:55,257 --> 00:04:58,217 Speaker 2: it or not, and I'm I'm as old a millennial 95 00:04:58,217 --> 00:05:01,177 Speaker 2: as you can possibly be. And I look at gen 96 00:05:01,297 --> 00:05:03,697 Speaker 2: Z and my interaction with them, and I actually think 97 00:05:03,857 --> 00:05:06,057 Speaker 2: we're not separated like I would expect boomers to be 98 00:05:06,097 --> 00:05:08,817 Speaker 2: surprised by a lot of things about gen Z. I 99 00:05:08,857 --> 00:05:12,057 Speaker 2: think gen Z is crazy, So I'm wondering, and I 100 00:05:12,097 --> 00:05:14,057 Speaker 2: think they're in for a really hard world and a 101 00:05:14,057 --> 00:05:16,697 Speaker 2: lot of trouble ahead of them. Am I just telling 102 00:05:16,697 --> 00:05:20,137 Speaker 2: them to get off my lawn a few decades before expected? 103 00:05:20,377 --> 00:05:22,657 Speaker 2: Or is there data? Is there something to back up 104 00:05:22,697 --> 00:05:26,297 Speaker 2: that gen Z is in for a rough ride. 105 00:05:27,457 --> 00:05:31,497 Speaker 1: I do always wonder whether every generation considers the one 106 00:05:31,537 --> 00:05:33,977 Speaker 1: coming after them to just be a complete nightmare, and 107 00:05:34,017 --> 00:05:36,777 Speaker 1: whether we are now slowly turning into the boomers that 108 00:05:36,817 --> 00:05:40,177 Speaker 1: we've been criticized by for a long time. But there 109 00:05:40,217 --> 00:05:42,057 Speaker 1: was a recent study that came out from that it's 110 00:05:42,057 --> 00:05:44,817 Speaker 1: called the GSS study. There's a ten percentage points gap 111 00:05:45,017 --> 00:05:47,857 Speaker 1: between the share of conservatives versus liberals who report being 112 00:05:48,337 --> 00:05:50,497 Speaker 1: very happy, and this is in pretty much every iteration 113 00:05:50,577 --> 00:05:54,617 Speaker 1: of the study since nineteen seventy two. Conservatives do not 114 00:05:54,697 --> 00:05:57,257 Speaker 1: just report high levels of happiness, they' also report higher 115 00:05:57,337 --> 00:06:00,137 Speaker 1: levels of meaning in their lives. There's a positive association 116 00:06:00,177 --> 00:06:03,657 Speaker 1: between conservative ideology and happiness that is very rarely reversed. 117 00:06:03,777 --> 00:06:07,297 Speaker 1: And liberals are only happier than conservatives in five out 118 00:06:07,377 --> 00:06:11,417 Speaker 1: of ninety two countries and never in the United States. 119 00:06:12,977 --> 00:06:17,217 Speaker 1: So there is something going on, I think with the 120 00:06:17,377 --> 00:06:24,577 Speaker 1: trendiness perhaps amongst young people for a very almost aggressively empathetic, 121 00:06:25,057 --> 00:06:29,777 Speaker 1: overly performative viewpoint with regards. 122 00:06:29,377 --> 00:06:33,817 Speaker 2: To I believe. I believe that leftism is a pathway 123 00:06:33,977 --> 00:06:36,777 Speaker 2: to misery in any society in any point in history. 124 00:06:37,537 --> 00:06:39,497 Speaker 2: And I know people say, what does leftism even mean? 125 00:06:39,537 --> 00:06:41,657 Speaker 2: And we can get into all the definitional debates over 126 00:06:41,657 --> 00:06:46,137 Speaker 2: what that, but effectively in the we can speak about it, 127 00:06:46,177 --> 00:06:48,817 Speaker 2: I think with some specificity in the American context, the 128 00:06:48,937 --> 00:06:56,337 Speaker 2: rejection of all traditionalism, the rejection of traditional gender roles, 129 00:06:56,377 --> 00:07:00,777 Speaker 2: traditional sense of patriotism and connection to country and community, 130 00:07:00,857 --> 00:07:03,857 Speaker 2: traditional religion. I'm not sure you've said that yet, but 131 00:07:03,897 --> 00:07:06,977 Speaker 2: obviously that would be there's all of this rejection, and 132 00:07:07,057 --> 00:07:11,137 Speaker 2: it seems like ultimately there is the replacement of it 133 00:07:11,737 --> 00:07:14,337 Speaker 2: with I mean you said either the performative politics of it, 134 00:07:14,377 --> 00:07:17,377 Speaker 2: but the replacement of it with the worship of the self. 135 00:07:17,417 --> 00:07:20,977 Speaker 2: I mean a sollipsism right, the center of the universe 136 00:07:21,697 --> 00:07:25,017 Speaker 2: idea for people, And I think that there are people 137 00:07:25,057 --> 00:07:28,337 Speaker 2: that are able to very. They're able to want monetize it, 138 00:07:28,377 --> 00:07:31,137 Speaker 2: which means as a market for it, but also politically, 139 00:07:32,057 --> 00:07:35,177 Speaker 2: by making people the center of their own world, I 140 00:07:35,217 --> 00:07:38,257 Speaker 2: think it actually makes them easier to control. And I'm 141 00:07:38,417 --> 00:07:40,417 Speaker 2: just throwing some ideas out to you. I mean, how 142 00:07:40,457 --> 00:07:44,737 Speaker 2: do you make sense of why people are so miserable 143 00:07:44,857 --> 00:07:47,457 Speaker 2: the more left wing they are? So consistently this is 144 00:07:47,497 --> 00:07:49,577 Speaker 2: the case in all these different polls, data, everything we 145 00:07:49,577 --> 00:07:50,097 Speaker 2: can see. 146 00:07:51,217 --> 00:07:56,457 Speaker 1: I think that if everything is a perceived injustice, you 147 00:07:56,617 --> 00:07:59,497 Speaker 1: have a combination in the digital age, right, you are 148 00:07:59,537 --> 00:08:02,937 Speaker 1: constantly exposed to new outrages. Just everybody is. All of 149 00:08:02,977 --> 00:08:05,297 Speaker 1: us are because of the amount of extra information that 150 00:08:05,337 --> 00:08:08,617 Speaker 1: we have that's coming in. But cultural elites who constantly 151 00:08:08,697 --> 00:08:12,977 Speaker 1: create new outrages out there. Nothing has skyrocketed number of 152 00:08:12,977 --> 00:08:15,457 Speaker 1: things that we can be concerned by. And if you 153 00:08:15,537 --> 00:08:19,617 Speaker 1: are praised if the particular background that you come from 154 00:08:20,097 --> 00:08:24,897 Speaker 1: upholds performative empathy, if it says that standing up for 155 00:08:24,977 --> 00:08:28,577 Speaker 1: the little guy, that being very very attuned with injustices, 156 00:08:29,697 --> 00:08:33,537 Speaker 1: that means in a world prickling with provocations, your sensibility 157 00:08:33,577 --> 00:08:35,697 Speaker 1: is just roam free, and you allow yourself to be 158 00:08:35,817 --> 00:08:40,217 Speaker 1: goaded by every visible indignation, You're endlessly distracted from your goals. 159 00:08:40,257 --> 00:08:45,017 Speaker 1: You're easily controlled by emotional manipulation from trolls, disinformation agents, 160 00:08:45,057 --> 00:08:48,537 Speaker 1: anybody that you want. I think that it is a 161 00:08:48,857 --> 00:08:55,017 Speaker 1: perfect cocktail of performative empathy which leads to real vulnerability. 162 00:08:55,577 --> 00:08:58,137 Speaker 1: And the line between what I was doing to look 163 00:08:58,177 --> 00:09:01,737 Speaker 1: good and what I genuinely feel is very quickly blood, 164 00:09:01,737 --> 00:09:05,337 Speaker 1: which can cause people to be quite quite easy to manipulate. 165 00:09:05,617 --> 00:09:10,697 Speaker 2: And on the problems that gen z young women particularly face, 166 00:09:10,737 --> 00:09:12,697 Speaker 2: I mean that's you know that There are not that 167 00:09:12,777 --> 00:09:17,577 Speaker 2: many times when I'll read statistics or polling or anything 168 00:09:17,577 --> 00:09:19,897 Speaker 2: that that's rooted in data and have to read it 169 00:09:20,097 --> 00:09:23,177 Speaker 2: a few times just to make sure that I'm not 170 00:09:23,217 --> 00:09:26,377 Speaker 2: missing something or there's some some variable that I'm not 171 00:09:26,377 --> 00:09:28,537 Speaker 2: taking into account. That makes the numbers seem a little 172 00:09:28,577 --> 00:09:32,497 Speaker 2: bit more digestible, right, I mean, there's at some level 173 00:09:32,537 --> 00:09:34,577 Speaker 2: you read something it's hard to process if it really 174 00:09:34,617 --> 00:09:39,257 Speaker 2: defies your preconceived notions of what's possible. The number of 175 00:09:39,297 --> 00:09:41,697 Speaker 2: the percentage i should say, of young women who have 176 00:09:42,897 --> 00:09:49,537 Speaker 2: thought about suicide and also engaged in and or engaged 177 00:09:49,617 --> 00:09:54,177 Speaker 2: in self harm already seems like it's a pandemic of 178 00:09:54,217 --> 00:09:56,777 Speaker 2: its own, not one that's talked about very much. What 179 00:09:56,897 --> 00:09:59,137 Speaker 2: is the data tell you about it? And why is 180 00:09:59,177 --> 00:09:59,777 Speaker 2: that happening? 181 00:10:00,777 --> 00:10:06,617 Speaker 1: Sixty percent of US girls reported persistent sadness and hopelessness. 182 00:10:08,217 --> 00:10:12,537 Speaker 1: That's the current state of I think it's under sixteens 183 00:10:13,577 --> 00:10:16,337 Speaker 1: in the US at the moment. That's you know, if 184 00:10:16,337 --> 00:10:19,057 Speaker 1: you had a disease, let's say that was able to 185 00:10:19,057 --> 00:10:23,177 Speaker 1: come in and afflict people with some kind of mental malady, 186 00:10:23,777 --> 00:10:28,097 Speaker 1: and that the effect would be one in two more 187 00:10:28,137 --> 00:10:30,737 Speaker 1: than one in two of them would suffer with persistent 188 00:10:30,857 --> 00:10:34,577 Speaker 1: sadness and hopelessness. This would be seen as one of 189 00:10:34,577 --> 00:10:36,577 Speaker 1: the biggest pandemics that we've ever seen. You know, forget 190 00:10:36,577 --> 00:10:38,897 Speaker 1: a one to two percent mortality rate. This is making 191 00:10:38,897 --> 00:10:42,817 Speaker 1: life essentially close to not worth living persistent sadness and hopelessness. 192 00:10:43,337 --> 00:10:44,577 Speaker 1: I think that there's a lot of things going on. 193 00:10:44,617 --> 00:10:46,417 Speaker 1: I think social media has an awful lot to answer for. 194 00:10:46,657 --> 00:10:49,337 Speaker 1: You are comparing yourself with the greatest lives that you 195 00:10:49,337 --> 00:10:53,297 Speaker 1: can see online, whilst you see yourself bumble from working 196 00:10:53,337 --> 00:10:56,577 Speaker 1: class home to lift to school to whatever it is 197 00:10:56,617 --> 00:10:59,457 Speaker 1: that's going on. You're not as thin, or as attractive 198 00:10:59,937 --> 00:11:02,177 Speaker 1: or as rich as you feel like you should be, 199 00:11:02,297 --> 00:11:04,257 Speaker 1: and the gap between the life that you could lead 200 00:11:04,457 --> 00:11:06,577 Speaker 1: and the life that you are leading has never been 201 00:11:06,697 --> 00:11:10,657 Speaker 1: more present out in front. I think that there's concerns 202 00:11:10,657 --> 00:11:13,777 Speaker 1: to do with hormonal birth control. The more that I 203 00:11:13,857 --> 00:11:17,377 Speaker 1: learn about the psychological impact of that on especially young girls' minds, 204 00:11:17,417 --> 00:11:19,977 Speaker 1: it is really really concerning. There's an amazing book called 205 00:11:19,977 --> 00:11:21,937 Speaker 1: This is Your Brain on birth control by doctor Sarah 206 00:11:22,017 --> 00:11:26,377 Speaker 1: Hill that needs to be factored in too, and all 207 00:11:26,377 --> 00:11:28,497 Speaker 1: of Jonathan Height's work as well. With the cuddling of 208 00:11:28,537 --> 00:11:30,697 Speaker 1: the American mind snowplow parenting and whatnot. 209 00:11:30,937 --> 00:11:33,817 Speaker 2: Tell tell me more about this, because I I feel 210 00:11:33,857 --> 00:11:38,217 Speaker 2: like when I was, you know, high school and college age, 211 00:11:39,777 --> 00:11:44,537 Speaker 2: there was this birth control was was prescribed so broadly 212 00:11:44,697 --> 00:11:48,217 Speaker 2: for women that and it was always under this context 213 00:11:48,257 --> 00:11:51,217 Speaker 2: of oh, it's just it's just like a thing that 214 00:11:51,297 --> 00:11:54,057 Speaker 2: you should do in the background. It's not even about 215 00:11:54,097 --> 00:11:57,097 Speaker 2: being sexually active. It'll regulate your period, it'll clear up 216 00:11:57,137 --> 00:12:00,737 Speaker 2: your skin. Birth control became and I mean I really 217 00:12:00,777 --> 00:12:05,537 Speaker 2: remember this something that you know, it was almost like, hey, 218 00:12:05,577 --> 00:12:07,377 Speaker 2: we're just like gonna start adding into the water for 219 00:12:07,417 --> 00:12:10,017 Speaker 2: young women. So they just it really became super wild. 220 00:12:10,137 --> 00:12:12,537 Speaker 2: I'd spread. And it's only been in recent years that 221 00:12:12,577 --> 00:12:17,177 Speaker 2: I've started to hear and come across women who would say, 222 00:12:17,297 --> 00:12:19,577 Speaker 2: I won't touch the stuff, I don't want to go 223 00:12:19,657 --> 00:12:22,017 Speaker 2: near it, and they have all these concerns about it. 224 00:12:22,537 --> 00:12:25,657 Speaker 2: What do we know about the concerns or the risks 225 00:12:25,737 --> 00:12:29,017 Speaker 2: the challenges of it as established, and then what about 226 00:12:29,577 --> 00:12:33,177 Speaker 2: things that maybe are still need more study. But there 227 00:12:33,217 --> 00:12:36,017 Speaker 2: are some real experts out there, like the doctor that 228 00:12:36,137 --> 00:12:38,937 Speaker 2: you mentioned, who have concerns that this is actually a 229 00:12:39,017 --> 00:12:40,337 Speaker 2: much bigger issue in other ways. 230 00:12:41,097 --> 00:12:42,897 Speaker 1: If anybody wants to check out a full hour and 231 00:12:42,937 --> 00:12:44,977 Speaker 1: a half conversation with me and doctor Hill. They can 232 00:12:45,017 --> 00:12:47,577 Speaker 1: just search doctor Sarah Hill Chris Williamson on YouTube and 233 00:12:47,577 --> 00:12:49,457 Speaker 1: they'll come up, or it'll be on Spotify and Apple 234 00:12:49,497 --> 00:12:53,577 Speaker 1: podcasts and stuff. But there are a whole suite of 235 00:12:53,697 --> 00:12:58,377 Speaker 1: things that occur beyond simply suppressing your ovulation. There is 236 00:12:58,657 --> 00:13:03,457 Speaker 1: increases in depression and anxiety. Particularly. What's concerning is that 237 00:13:03,497 --> 00:13:07,777 Speaker 1: there is a potential if you take birth control during 238 00:13:07,817 --> 00:13:11,457 Speaker 1: the formative years i e. Your teenagers, when your brain 239 00:13:11,537 --> 00:13:14,857 Speaker 1: is still forming, it can lock in a particular type 240 00:13:14,857 --> 00:13:19,057 Speaker 1: of folding within the brain which makes these tendencies towards 241 00:13:19,137 --> 00:13:23,297 Speaker 1: depression and anxiety irreversible. That you are creating a lifelong 242 00:13:23,337 --> 00:13:27,617 Speaker 1: susceptibility to these kinds of concerns. There is some pretty 243 00:13:27,657 --> 00:13:31,377 Speaker 1: strong evidence that suggests that women on birth control optimize 244 00:13:31,377 --> 00:13:34,497 Speaker 1: for different types of partners. They seem to optimize for 245 00:13:34,577 --> 00:13:37,977 Speaker 1: partners that are providers rather than protectors, so they will 246 00:13:38,097 --> 00:13:41,977 Speaker 1: optimize for objective metrics of success, stuff like their earning capacity, 247 00:13:42,017 --> 00:13:45,177 Speaker 1: their education. Now, in a world where two women for 248 00:13:45,217 --> 00:13:47,337 Speaker 1: every one man is completing a four year US college 249 00:13:47,337 --> 00:13:50,377 Speaker 1: degree by twenty thirty, this is going to worsen an 250 00:13:50,457 --> 00:13:55,057 Speaker 1: already imbalanced education market because the guy that might be 251 00:13:55,137 --> 00:13:58,177 Speaker 1: a blue collar worker but really handsome and rugged and 252 00:13:58,217 --> 00:14:00,577 Speaker 1: a fantastic sort of masculine man is going to be 253 00:14:00,577 --> 00:14:02,857 Speaker 1: overlooked by a woman that's on birth control. The problem 254 00:14:02,897 --> 00:14:05,217 Speaker 1: and the kicker is that when that woman comes off 255 00:14:05,217 --> 00:14:09,177 Speaker 1: birth control, all of these women, statistically, on average, have 256 00:14:09,417 --> 00:14:12,537 Speaker 1: a much a much lower level of sexual satisfaction with 257 00:14:12,537 --> 00:14:16,497 Speaker 1: the partner. So women can select a partner whilst on 258 00:14:16,537 --> 00:14:19,777 Speaker 1: birth control, which when they come off birth control, they 259 00:14:19,777 --> 00:14:22,057 Speaker 1: find themselves no longer attracted to. And this is something 260 00:14:22,097 --> 00:14:24,417 Speaker 1: that's important for both men and women to know. If 261 00:14:24,457 --> 00:14:26,697 Speaker 1: you have been in a relationship for two or three 262 00:14:26,817 --> 00:14:28,137 Speaker 1: or four years and you think right now is the 263 00:14:28,137 --> 00:14:30,457 Speaker 1: time to get engaged and get married, but she's never 264 00:14:30,457 --> 00:14:32,897 Speaker 1: come off birth control while she's still with you, that 265 00:14:33,057 --> 00:14:35,697 Speaker 1: is something that I think everybody should do, because both 266 00:14:35,737 --> 00:14:39,217 Speaker 1: the woman and the man could find that maybe they're 267 00:14:39,217 --> 00:14:43,377 Speaker 1: not quite so compatible when this hormone induced stupa gets lifted. 268 00:14:44,057 --> 00:14:47,177 Speaker 2: I assume you've probably talked to a Professor Galloway on 269 00:14:47,177 --> 00:14:49,777 Speaker 2: your show. I mean you've done six hundred episode indeed, Yeah, yeah, 270 00:14:49,937 --> 00:14:52,497 Speaker 2: I figured you would have. I've seen some of his staff, 271 00:14:52,497 --> 00:14:56,217 Speaker 2: and I to say, having lived I'm recently married, but 272 00:14:56,297 --> 00:14:59,337 Speaker 2: having lived my life as a single man in New 273 00:14:59,417 --> 00:15:02,537 Speaker 2: York City for a couple of decades, I was certainly 274 00:15:02,617 --> 00:15:07,097 Speaker 2: exposed to my fair share of dating rituals and the 275 00:15:07,337 --> 00:15:11,777 Speaker 2: dating marketplace. And I see this as tying in really 276 00:15:11,777 --> 00:15:16,577 Speaker 2: with social media. I'm I'm amazed I come across you know, 277 00:15:16,617 --> 00:15:20,697 Speaker 2: the old was that the old Greek in Greek mythology, 278 00:15:21,177 --> 00:15:24,017 Speaker 2: narcissist right looking at himself in the it was in 279 00:15:24,337 --> 00:15:26,457 Speaker 2: the pond, right, or you know, the body of water 280 00:15:26,777 --> 00:15:30,217 Speaker 2: reflecting pool, and it became in love with himself nothing 281 00:15:30,257 --> 00:15:32,497 Speaker 2: better than, nothing better than what he could see back 282 00:15:32,537 --> 00:15:34,937 Speaker 2: in his own reflection. So this idea has been around 283 00:15:34,937 --> 00:15:38,377 Speaker 2: for a long time, right, obviously gives us the term narcissism. 284 00:15:38,617 --> 00:15:40,777 Speaker 2: I am amazed at how many women I come across 285 00:15:40,817 --> 00:15:43,737 Speaker 2: who and I have known and seen and been around, 286 00:15:44,017 --> 00:15:48,377 Speaker 2: who seem to think that the purpose of being beautiful, 287 00:15:49,097 --> 00:15:53,577 Speaker 2: you know, being attractive to men is for attention and 288 00:15:53,737 --> 00:15:56,857 Speaker 2: likes on Instagram, and they give very little thought. And 289 00:15:56,897 --> 00:15:58,737 Speaker 2: of course, you know, going out on dates and having 290 00:15:58,737 --> 00:16:00,817 Speaker 2: men fly them around the world and things like that too. 291 00:16:01,297 --> 00:16:05,017 Speaker 2: But very little time spent thinking about who should I 292 00:16:05,097 --> 00:16:06,777 Speaker 2: marry and who is going to be the father of 293 00:16:06,817 --> 00:16:10,737 Speaker 2: my children? And they start thinking about that it thirty 294 00:16:10,777 --> 00:16:13,217 Speaker 2: five and it's a shock to them when they find 295 00:16:13,217 --> 00:16:16,537 Speaker 2: out that's not a smart timeline. Am I Am I 296 00:16:17,097 --> 00:16:19,217 Speaker 2: man explaining here? Or is there any route for this 297 00:16:19,297 --> 00:16:23,297 Speaker 2: in any basis for this in an objective data and expertise? 298 00:16:24,057 --> 00:16:27,017 Speaker 1: I think whatever you do is man'splaining. But with regards 299 00:16:27,457 --> 00:16:29,457 Speaker 1: with regards to the data, I'm not too sure. In 300 00:16:29,497 --> 00:16:31,657 Speaker 1: my personal experience, I've met an awful lot of girls 301 00:16:31,657 --> 00:16:33,377 Speaker 1: in nightlife, and a awful lot of them have been 302 00:16:33,497 --> 00:16:36,817 Speaker 1: very good looking, Thankfully, not many of them have had 303 00:16:36,977 --> 00:16:39,737 Speaker 1: that particular mentality that maybe in New York, thing a 304 00:16:39,777 --> 00:16:42,857 Speaker 1: cosmopolitan city with more wealth, more ceilings that you could 305 00:16:42,857 --> 00:16:45,417 Speaker 1: break up through. I'm not too sure working class from 306 00:16:45,417 --> 00:16:47,297 Speaker 1: the northeast of the UK, that hasn't been something that 307 00:16:47,337 --> 00:16:49,577 Speaker 1: I've encountered personally. One of the things that I can 308 00:16:49,657 --> 00:16:52,897 Speaker 1: tell you, though, is that eight out of ten women 309 00:16:53,257 --> 00:16:57,457 Speaker 1: who are childless didn't intend to be childless. They didn't 310 00:16:57,497 --> 00:16:58,737 Speaker 1: intend to not have children. 311 00:16:59,177 --> 00:17:00,017 Speaker 2: Something's going on. 312 00:17:00,737 --> 00:17:03,257 Speaker 1: This is a massive, massive meta analysis by someone called 313 00:17:03,257 --> 00:17:08,697 Speaker 1: Professor Rinska Kaiser, and this looked at what women who 314 00:17:08,777 --> 00:17:11,497 Speaker 1: have broken through the fertility when and not had kids 315 00:17:11,817 --> 00:17:14,697 Speaker 1: had to say about their choices in life and why 316 00:17:14,737 --> 00:17:17,417 Speaker 1: they occurred. Around about one in ten women is physiologically 317 00:17:17,417 --> 00:17:20,017 Speaker 1: incapable of having children very unfortunately, due to a variety 318 00:17:20,097 --> 00:17:23,177 Speaker 1: of factors. Around about one intend said that they always 319 00:17:23,217 --> 00:17:26,457 Speaker 1: intended to not have children, and this is planned, which 320 00:17:26,537 --> 00:17:30,137 Speaker 1: leaves a whopping four out of five non mother women 321 00:17:30,457 --> 00:17:33,897 Speaker 1: who no longer can have children who didn't intend to 322 00:17:33,937 --> 00:17:37,457 Speaker 1: not be mothers. It's called involuntary child listeners. And the 323 00:17:37,497 --> 00:17:41,097 Speaker 1: most common reason for this is that they didn't life circumstances, 324 00:17:41,137 --> 00:17:43,377 Speaker 1: as it's called, and the most common life circumstances not 325 00:17:43,617 --> 00:17:46,097 Speaker 1: meeting the right partners sufficiently early before they break through 326 00:17:46,137 --> 00:17:49,537 Speaker 1: the fertility window, which could be facilitated by perhaps not 327 00:17:50,737 --> 00:17:54,017 Speaker 1: thinking about things sufficiently seriously. I do think it's important 328 00:17:54,017 --> 00:17:56,217 Speaker 1: to not necessarily lay this at the feet of women. 329 00:17:56,937 --> 00:17:59,697 Speaker 1: When you have finally had the opportunity to go to university, 330 00:18:00,097 --> 00:18:02,177 Speaker 1: and then after you come out of university, you know 331 00:18:02,537 --> 00:18:05,577 Speaker 1: your mother and your grandmother basically didn't you for the 332 00:18:05,577 --> 00:18:07,977 Speaker 1: first time, has had the opportunity you go to university 333 00:18:08,017 --> 00:18:10,137 Speaker 1: you come out, you're twenty four or twenty five, you 334 00:18:10,137 --> 00:18:14,217 Speaker 1: spend five years in a job, and now you're thirty, 335 00:18:14,857 --> 00:18:18,577 Speaker 1: and now you've barely had adult life in the working world. 336 00:18:18,857 --> 00:18:21,657 Speaker 1: But oh my god, I have to really really rush along. 337 00:18:21,697 --> 00:18:25,377 Speaker 1: So I do think that women's fertility has become squeezed 338 00:18:25,457 --> 00:18:28,897 Speaker 1: by their increasing opportunities in education and employment. This doesn't 339 00:18:28,897 --> 00:18:30,377 Speaker 1: mean at all that we should draw it back. It 340 00:18:30,377 --> 00:18:32,777 Speaker 1: does mean that we probably should say to girls, look 341 00:18:32,897 --> 00:18:35,657 Speaker 1: like you know, the clock is ticking. An IVF is 342 00:18:35,657 --> 00:18:39,257 Speaker 1: not a miracle wondered drug. It's not going to fix 343 00:18:39,377 --> 00:18:42,137 Speaker 1: everything it is. There are limitations to what you can 344 00:18:42,137 --> 00:18:45,137 Speaker 1: do biologically. And you know, these women, eight out of 345 00:18:45,177 --> 00:18:47,657 Speaker 1: ten they grieve for families that they've never had. There 346 00:18:47,657 --> 00:18:49,817 Speaker 1: are support groups around the world for these women, and 347 00:18:50,657 --> 00:18:52,657 Speaker 1: you know, for the people that say. 348 00:18:52,897 --> 00:18:56,817 Speaker 2: But I'm sorry, is it possible that women are being 349 00:18:57,697 --> 00:18:59,617 Speaker 2: and this is of course in the aggregate, and there's 350 00:18:59,657 --> 00:19:02,377 Speaker 2: all kinds of things we could say, provisos and exceptions 351 00:19:02,417 --> 00:19:05,857 Speaker 2: and everything else. Women are being lied to about how 352 00:19:05,897 --> 00:19:09,777 Speaker 2: they should approach their life path. I mean I say 353 00:19:09,777 --> 00:19:12,977 Speaker 2: lied to, I mean by society now by and large, 354 00:19:12,977 --> 00:19:15,777 Speaker 2: I mean you're again laying out the numbers, there's something 355 00:19:15,817 --> 00:19:19,777 Speaker 2: that's going very wrong here. And I would also, you know, 356 00:19:19,777 --> 00:19:21,337 Speaker 2: I think that the problem is whenever you start to 357 00:19:21,377 --> 00:19:23,577 Speaker 2: say here's a problem that faces women, especially if you're 358 00:19:23,577 --> 00:19:25,377 Speaker 2: a guy, I mean maybe not for you, because you 359 00:19:25,417 --> 00:19:28,977 Speaker 2: seem very like in touch with people and sensitive and empathetic, 360 00:19:28,977 --> 00:19:30,497 Speaker 2: you know, maybe a little more of the man splenning 361 00:19:30,537 --> 00:19:33,377 Speaker 2: over here. But nonetheless, you know you're a guy, so 362 00:19:33,457 --> 00:19:35,537 Speaker 2: there's always this oh, it's not about a battle of 363 00:19:35,537 --> 00:19:37,137 Speaker 2: the sexist thing. I mean I could also sit here 364 00:19:37,137 --> 00:19:40,137 Speaker 2: and talk about how men with options have just become 365 00:19:41,017 --> 00:19:47,057 Speaker 2: just like disgustingly, uh you know, just it's all about swipe, swipe, swipe. 366 00:19:47,377 --> 00:19:49,777 Speaker 2: You know, you know, it's it's all so casual and 367 00:19:49,777 --> 00:19:51,617 Speaker 2: they got tons of time and they don't really care. 368 00:19:51,697 --> 00:19:53,857 Speaker 2: And you know that comes with consequence, as it comes 369 00:19:53,897 --> 00:19:57,297 Speaker 2: with certainly emotional and time consequences for the women involved 370 00:19:57,857 --> 00:19:59,337 Speaker 2: over the long term. I would argue too, for a 371 00:19:59,377 --> 00:20:01,337 Speaker 2: lot of guys, they realize, you know, I don't even 372 00:20:01,337 --> 00:20:02,657 Speaker 2: realize what was that even all about. 373 00:20:02,737 --> 00:20:04,617 Speaker 1: You know, that's not good either. No, I think that 374 00:20:04,697 --> 00:20:06,857 Speaker 1: a wealth of opportunities for guys that are very high 375 00:20:06,897 --> 00:20:08,737 Speaker 1: status with a ton of different women that they could 376 00:20:08,737 --> 00:20:10,497 Speaker 1: sleep with every night. It's like a child that can 377 00:20:10,537 --> 00:20:12,377 Speaker 1: eat ice cream. It might be what it wants, but 378 00:20:12,417 --> 00:20:14,897 Speaker 1: it's not necessarily good for it. And yeah, you know, 379 00:20:15,337 --> 00:20:20,177 Speaker 1: I if there is somebody that feels icky about two 380 00:20:20,177 --> 00:20:23,097 Speaker 1: guys talking about women's issues, well would you rather just 381 00:20:23,257 --> 00:20:25,617 Speaker 1: not care? I'm not trying to drag women out of 382 00:20:25,657 --> 00:20:27,617 Speaker 1: the boardroom and put them back into the kitchen or 383 00:20:27,617 --> 00:20:30,337 Speaker 1: the bedroom. What I'm saying is that eight out of 384 00:20:30,417 --> 00:20:33,977 Speaker 1: ten women who don't have children didn't intend to not 385 00:20:34,057 --> 00:20:36,897 Speaker 1: have children after their fertility window breaks. How is that 386 00:20:37,057 --> 00:20:40,537 Speaker 1: anything shy of just straight up empathy. You say that 387 00:20:40,577 --> 00:20:43,217 Speaker 1: you want men to talk about women's problems, to care 388 00:20:43,257 --> 00:20:46,377 Speaker 1: about the issues that women have. There are very few 389 00:20:46,377 --> 00:20:48,537 Speaker 1: issues that are going to affect women more emotionally than this. 390 00:20:48,897 --> 00:20:50,217 Speaker 2: Well, I want to come back in a second here 391 00:20:50,257 --> 00:20:53,777 Speaker 2: and ask you what are the the solutions Maybe too 392 00:20:53,817 --> 00:20:55,977 Speaker 2: strong a word, but what are the ways to address 393 00:20:56,017 --> 00:20:59,657 Speaker 2: this in a positive way that are being raised? But 394 00:20:59,697 --> 00:21:02,417 Speaker 2: we'll get to that a second, because I want to 395 00:21:02,417 --> 00:21:05,097 Speaker 2: set everybody up who's watching this spring to have their 396 00:21:05,097 --> 00:21:06,697 Speaker 2: full energy. You want to be like Chris. You want 397 00:21:06,697 --> 00:21:09,057 Speaker 2: to be a guy who's full of energy, vitality you know, 398 00:21:09,617 --> 00:21:11,257 Speaker 2: is getting out there. I don't even This guy probably 399 00:21:11,257 --> 00:21:14,057 Speaker 2: deadlifts four hundred pounds look at him. But with the 400 00:21:14,097 --> 00:21:16,897 Speaker 2: news being what it is, you know you got to 401 00:21:16,937 --> 00:21:20,017 Speaker 2: stay focused on what matters here. Chalk can help. This 402 00:21:20,457 --> 00:21:23,257 Speaker 2: company provides all natural supplements that help people restore their 403 00:21:23,337 --> 00:21:26,737 Speaker 2: energy potential every day. The daily supplement formulated to restore 404 00:21:26,817 --> 00:21:29,817 Speaker 2: lower testosterone levels and men to their previous levels. Our 405 00:21:29,857 --> 00:21:32,977 Speaker 2: diets and stress levels just don't naturally provide for us 406 00:21:33,057 --> 00:21:36,417 Speaker 2: for testosterone levels as they used to. Chalk's leading ingredients, 407 00:21:36,457 --> 00:21:39,337 Speaker 2: their Male Vitality Stack. 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My concern is that when when we sit 424 00:22:27,657 --> 00:22:31,617 Speaker 2: here we talk about women are child without child, and 425 00:22:31,737 --> 00:22:34,217 Speaker 2: usually that means without in many cases I should say, 426 00:22:34,217 --> 00:22:36,937 Speaker 2: I mean without a family of their own as well. Right, 427 00:22:36,977 --> 00:22:39,017 Speaker 2: those things tend to go together, not always. Some women 428 00:22:39,057 --> 00:22:40,417 Speaker 2: get married and don't have kids, but a lot of 429 00:22:40,457 --> 00:22:43,857 Speaker 2: women end up not getting married and not having children. 430 00:22:43,937 --> 00:22:46,617 Speaker 2: I have my ideas for how this could be solved 431 00:22:46,657 --> 00:22:49,057 Speaker 2: for a little bit, but I want to know what 432 00:22:49,097 --> 00:22:50,937 Speaker 2: do what do the experts, I mean, you sit down 433 00:22:50,977 --> 00:22:53,497 Speaker 2: with experts in fields like this, what do they think 434 00:22:53,537 --> 00:22:54,537 Speaker 2: can be done about this? 435 00:22:55,457 --> 00:22:58,057 Speaker 1: One of the problems is that it's a multivariate problem, 436 00:22:58,097 --> 00:23:00,297 Speaker 1: which means that there is no single silver bullets to 437 00:23:00,297 --> 00:23:02,657 Speaker 1: fix it. Some of the suggestions that I think that 438 00:23:02,657 --> 00:23:06,017 Speaker 1: would be fruitful would be encouraging in person dating. Again, 439 00:23:06,297 --> 00:23:09,497 Speaker 1: so since the advent of me too, which was a 440 00:23:09,777 --> 00:23:13,297 Speaker 1: much needed pushback against men that were using their positions 441 00:23:13,337 --> 00:23:15,897 Speaker 1: of power to manipulate women into sex, which is not 442 00:23:15,977 --> 00:23:18,737 Speaker 1: something that anybody, man or woman should want. However, it 443 00:23:19,177 --> 00:23:22,257 Speaker 1: can overcorrect and take it to the situation where women 444 00:23:22,297 --> 00:23:24,017 Speaker 1: are terrified to be approached by men and men are 445 00:23:24,057 --> 00:23:26,977 Speaker 1: terrified to do the approaching, which means that you've seen 446 00:23:26,977 --> 00:23:30,657 Speaker 1: these jim TikTok videos of guys that will go over 447 00:23:30,697 --> 00:23:34,537 Speaker 1: and ask if the girl needs help unloading her blue bridge, deadlift, 448 00:23:34,577 --> 00:23:37,497 Speaker 1: workout or whatever, and then now on TikTok to a 449 00:23:37,497 --> 00:23:40,537 Speaker 1: few million people being called a creep. That sets a 450 00:23:40,617 --> 00:23:43,497 Speaker 1: very worrying precedent because eighty six percent of women say 451 00:23:43,497 --> 00:23:45,057 Speaker 1: that they want a man to make the first move, 452 00:23:45,257 --> 00:23:47,417 Speaker 1: but eighty percent of men say that they will not 453 00:23:47,577 --> 00:23:49,777 Speaker 1: approach a woman for fear of being seen as creepy. 454 00:23:50,817 --> 00:23:53,217 Speaker 2: Yeah, well, to tell people, you know my dad, I 455 00:23:53,217 --> 00:23:56,937 Speaker 2: will tell you he was always he was always. You know, 456 00:23:57,017 --> 00:23:59,337 Speaker 2: you gotta you gotta, you gotta ask, you know, you 457 00:23:59,417 --> 00:24:02,177 Speaker 2: gotta ask for for the number, you've gotta get it. 458 00:24:02,217 --> 00:24:04,257 Speaker 2: And if you get rejected, it's fine. You just take 459 00:24:04,257 --> 00:24:05,937 Speaker 2: it like a man. You say, well, it's nice to 460 00:24:05,977 --> 00:24:08,577 Speaker 2: you know. And this was sort of part of manhood 461 00:24:08,617 --> 00:24:09,977 Speaker 2: training for I think a lot of people, not to 462 00:24:10,217 --> 00:24:13,337 Speaker 2: me or for whatever that's worth. But now I mean 463 00:24:13,377 --> 00:24:16,057 Speaker 2: I think that. I mean you mentioned those videos. There's 464 00:24:16,097 --> 00:24:18,617 Speaker 2: one video where some woman a guy looks in or 465 00:24:18,777 --> 00:24:20,497 Speaker 2: and this one went super viral. You saw this, I'm 466 00:24:20,497 --> 00:24:24,337 Speaker 2: sure too, looked in her general direction and she like 467 00:24:24,537 --> 00:24:26,337 Speaker 2: starts in with him like what are you looking at? 468 00:24:26,417 --> 00:24:27,777 Speaker 2: And he's like, I work here, Like what are you 469 00:24:27,777 --> 00:24:29,857 Speaker 2: even talking about? And I work in a gym, I 470 00:24:29,897 --> 00:24:34,217 Speaker 2: mean work, yeah, right, I occasionally go to I have 471 00:24:34,337 --> 00:24:37,177 Speaker 2: time the elliptical machines in a gym near me, but 472 00:24:37,217 --> 00:24:39,937 Speaker 2: it is in Miami. There are women who have set Oh, 473 00:24:39,977 --> 00:24:42,537 Speaker 2: first of all, they're basically wearing lingerie and second of 474 00:24:42,537 --> 00:24:44,097 Speaker 2: a which is fine, but I mean, you know, you 475 00:24:44,177 --> 00:24:47,057 Speaker 2: are wearing very very very little to work out. I 476 00:24:47,057 --> 00:24:50,017 Speaker 2: mean there are levels here, but they're setting up cameras 477 00:24:50,577 --> 00:24:53,817 Speaker 2: in the lingerie in the public gym to videotape themselves 478 00:24:53,897 --> 00:24:55,297 Speaker 2: working out. I'm sure you've seen this too. 479 00:24:56,097 --> 00:24:57,097 Speaker 1: The tripod squad. 480 00:24:57,257 --> 00:24:59,497 Speaker 2: Yep. We oh wow, there's a term for it. I 481 00:24:59,537 --> 00:25:01,657 Speaker 2: don't even know there's a there's a term for everything. 482 00:25:01,657 --> 00:25:06,017 Speaker 1: There's a meme for everything. But yeah, I'm very I 483 00:25:06,017 --> 00:25:09,377 Speaker 1: think that that trend is very quickly being reversed. I 484 00:25:09,417 --> 00:25:14,417 Speaker 1: think that and understand that everybody pushed back against those videos, right, 485 00:25:14,497 --> 00:25:16,377 Speaker 1: Everyone has pushed back against them because it was seen 486 00:25:16,377 --> 00:25:19,217 Speaker 1: as ridiculous. But yeah, man, eighty six percent of women 487 00:25:19,257 --> 00:25:20,697 Speaker 1: said they want a man to make the first move 488 00:25:20,697 --> 00:25:22,777 Speaker 1: in eighty percent of men say they're terrified of approaching 489 00:25:22,777 --> 00:25:26,097 Speaker 1: a woman for being seen as creepy. In a world 490 00:25:26,217 --> 00:25:30,257 Speaker 1: where one in three men hasn't had sex in the 491 00:25:30,297 --> 00:25:32,817 Speaker 1: last year aged eighteen to thirty, that tripled from eight 492 00:25:32,857 --> 00:25:34,617 Speaker 1: to twenty eight percent from two thousand and eight to 493 00:25:34,657 --> 00:25:37,537 Speaker 1: twenty eighteen. In a world with that, we need to 494 00:25:37,537 --> 00:25:42,097 Speaker 1: be doing things to foster more of these kind of relationships. 495 00:25:42,137 --> 00:25:43,937 Speaker 1: And I know that you were going to talk about masculinity. 496 00:25:44,257 --> 00:25:46,417 Speaker 1: One very probably the most shocking stat that I've learned 497 00:25:46,457 --> 00:25:48,977 Speaker 1: over the last year is that fifty percent of men 498 00:25:49,057 --> 00:25:51,057 Speaker 1: said that they are not looking for casual or long 499 00:25:51,137 --> 00:25:54,017 Speaker 1: term relationships aged eighteen to thirty sixty one percent in 500 00:25:54,057 --> 00:25:57,057 Speaker 1: twenty nineteen, it's down fifty percent. Now, both you and 501 00:25:57,097 --> 00:25:59,617 Speaker 1: me have been through the ages of eighteen to thirty 502 00:25:59,617 --> 00:26:03,497 Speaker 1: and understand the reality bending torment of the male sex 503 00:26:03,577 --> 00:26:06,417 Speaker 1: drive during those ages. If you can imagine that one 504 00:26:06,457 --> 00:26:08,857 Speaker 1: in two men is saying they are not looking for 505 00:26:08,977 --> 00:26:13,537 Speaker 1: either casual relationationships or long term relationships. That's very worrying. 506 00:26:14,057 --> 00:26:16,777 Speaker 2: How much of a of a role you know that 507 00:26:16,857 --> 00:26:20,457 Speaker 2: there's these there's these groups that have gonna say groups, 508 00:26:20,457 --> 00:26:22,977 Speaker 2: you know, these ideas, memes, you know whatever. You know, 509 00:26:23,017 --> 00:26:26,097 Speaker 2: you'll hear this. But I think actually in the UK, 510 00:26:26,257 --> 00:26:28,377 Speaker 2: wasn't there wasn't there per where there was a whole 511 00:26:28,417 --> 00:26:32,217 Speaker 2: like no wanking was a thing. These groups say no fat, 512 00:26:32,257 --> 00:26:35,577 Speaker 2: thank you, sorry, sorry close, I was close, No fat exactly. 513 00:26:35,577 --> 00:26:36,897 Speaker 2: This is a real thing for people to think that 514 00:26:36,937 --> 00:26:40,537 Speaker 2: I'm being crazy, and but I've seen others who are 515 00:26:40,537 --> 00:26:42,737 Speaker 2: making this and it always ties in really to I mean, 516 00:26:42,737 --> 00:26:47,177 Speaker 2: that's a little more specific, but the proliferation of pornography. 517 00:26:48,497 --> 00:26:51,377 Speaker 2: I mean, ever, everyone always talking about this. You know technology. Obviously, 518 00:26:51,377 --> 00:26:53,577 Speaker 2: technology comes with great things, there's downsides. We're of all 519 00:26:53,617 --> 00:26:55,777 Speaker 2: figuring this out. Hopefully Chris and I aren't both gonna 520 00:26:56,177 --> 00:26:58,657 Speaker 2: end up being replaced by AI machines in the next 521 00:26:58,657 --> 00:27:03,257 Speaker 2: few years. But it seems to me that the proliferation 522 00:27:03,457 --> 00:27:09,617 Speaker 2: of pornography online is something that humanity wasn't really prepared for, 523 00:27:09,657 --> 00:27:13,257 Speaker 2: and it's just starting to figure out how bad it 524 00:27:13,377 --> 00:27:15,497 Speaker 2: is for these Like I mean I tell people is 525 00:27:15,577 --> 00:27:18,817 Speaker 2: like I made a gosh going on like fifteen years ago. 526 00:27:18,857 --> 00:27:21,257 Speaker 2: I was just like, noborn done. I don't want to 527 00:27:21,297 --> 00:27:22,657 Speaker 2: see it. I don't want to look at it. I 528 00:27:22,657 --> 00:27:26,657 Speaker 2: don't you know, And I found it was both freeing 529 00:27:26,817 --> 00:27:29,137 Speaker 2: and helpful as a guide just be like I just 530 00:27:29,217 --> 00:27:29,977 Speaker 2: don't do that. 531 00:27:31,217 --> 00:27:33,977 Speaker 1: There are a few supernormal stimuli in the modern world, 532 00:27:34,057 --> 00:27:36,977 Speaker 1: so French fries would be one of them. The saltiness, 533 00:27:37,017 --> 00:27:40,577 Speaker 1: the crunchiness, the fluffiness is a food that we would 534 00:27:40,657 --> 00:27:43,097 Speaker 1: have not been evolved to being able to deal with. 535 00:27:43,257 --> 00:27:45,937 Speaker 1: And you were able to see now within twenty minutes 536 00:27:46,097 --> 00:27:48,617 Speaker 1: on a single iPhone more women than you would be 537 00:27:48,657 --> 00:27:51,657 Speaker 1: exposed to in your entire life ancessrally, So it is 538 00:27:51,777 --> 00:27:56,497 Speaker 1: absolutely something that's a supernormal stimuli. One slight white pill 539 00:27:56,777 --> 00:28:01,097 Speaker 1: that should push back against too much concern is that 540 00:28:01,137 --> 00:28:03,537 Speaker 1: the story you tell yourself around your porn news seems 541 00:28:03,577 --> 00:28:07,297 Speaker 1: to be very, very instrumental in how it affects you. 542 00:28:07,697 --> 00:28:10,857 Speaker 1: That porn is not quite neutral, porn use is not 543 00:28:10,897 --> 00:28:15,097 Speaker 1: quite neutral. But if you have a relatively healthy relationship 544 00:28:15,257 --> 00:28:17,457 Speaker 1: with it, and if you do have a partner, if 545 00:28:17,457 --> 00:28:19,697 Speaker 1: you're not hiding your use from your partner, and if 546 00:28:19,697 --> 00:28:22,977 Speaker 1: you don't feel ashamed after you use it, that is 547 00:28:23,297 --> 00:28:25,537 Speaker 1: a pretty good market. Those people seem to be able 548 00:28:25,537 --> 00:28:27,737 Speaker 1: to kind of continue to move through life. Now, one 549 00:28:27,737 --> 00:28:28,497 Speaker 1: of the problems. 550 00:28:28,217 --> 00:28:34,097 Speaker 2: You're using it on an instruction basis, perhaps DIY feel 551 00:28:34,177 --> 00:28:34,457 Speaker 2: to it. 552 00:28:34,537 --> 00:28:37,577 Speaker 1: Yeah, it seems that way, yes, but as you said, 553 00:28:37,817 --> 00:28:42,297 Speaker 1: you almost anybody that realizes that they don't like what 554 00:28:42,417 --> 00:28:45,137 Speaker 1: porn does in the world is probably not going to 555 00:28:45,137 --> 00:28:47,457 Speaker 1: feel particularly good if they use it themselves. Now, the 556 00:28:47,497 --> 00:28:49,497 Speaker 1: problem comes if you have someone like that who doesn't 557 00:28:49,497 --> 00:28:52,497 Speaker 1: do what you did and recount use of porn and say, 558 00:28:52,497 --> 00:28:54,577 Speaker 1: I'm not going to bother using this anymore. If you 559 00:28:54,617 --> 00:28:57,297 Speaker 1: have someone who doesn't like it but continues to use it, 560 00:28:57,897 --> 00:29:02,177 Speaker 1: that is a recipe for bad relationships, for reduced sex drive. 561 00:29:02,457 --> 00:29:05,617 Speaker 1: It seems to have a downstream a pretty big host 562 00:29:05,617 --> 00:29:08,057 Speaker 1: of stuff. Couple that with social media and video games, 563 00:29:08,137 --> 00:29:11,537 Speaker 1: and you have muted a lot of men's goal seeking 564 00:29:11,577 --> 00:29:13,257 Speaker 1: and reproductive chasing behavior. 565 00:29:14,537 --> 00:29:18,297 Speaker 2: I want to ask about how society is also suppressing 566 00:29:19,057 --> 00:29:21,737 Speaker 2: what I would argue are masculine virtues and what you've 567 00:29:21,737 --> 00:29:24,857 Speaker 2: come across from your conversations, both your own research and 568 00:29:24,857 --> 00:29:26,617 Speaker 2: conversations with experts about that. We'll get to that in 569 00:29:26,657 --> 00:29:28,977 Speaker 2: just a second, but it makes all kinds of sense 570 00:29:29,017 --> 00:29:31,177 Speaker 2: to have life insurance, particularly when there are people relying 571 00:29:31,217 --> 00:29:33,057 Speaker 2: on you to be there for them. You want to 572 00:29:33,057 --> 00:29:35,857 Speaker 2: have life insurance just in case. Right, I got married 573 00:29:35,897 --> 00:29:38,817 Speaker 2: earlier this year, so life insurance is something that I 574 00:29:38,937 --> 00:29:40,897 Speaker 2: have now, and you've got to have it too. The 575 00:29:40,977 --> 00:29:43,137 Speaker 2: right insurance plan gives you peace of mind because if 576 00:29:43,137 --> 00:29:45,537 Speaker 2: something should happen to you, your family has that safety 577 00:29:45,537 --> 00:29:48,057 Speaker 2: net to cover mortgage payments, college costs, and other expenses 578 00:29:48,057 --> 00:29:50,537 Speaker 2: you've been providing for. Even if you have some life 579 00:29:50,537 --> 00:29:52,297 Speaker 2: insurance provided by the job you have, it may not 580 00:29:52,377 --> 00:29:54,817 Speaker 2: be enough. So now's a good time to future prove 581 00:29:54,897 --> 00:29:59,337 Speaker 2: your family's finances. Get some life insurance. Policy Genius gives 582 00:29:59,337 --> 00:30:02,457 Speaker 2: you a smarter way to find and buy it. Policy 583 00:30:02,497 --> 00:30:05,217 Speaker 2: Genius was built to modernize the life insurance industry. Their 584 00:30:05,257 --> 00:30:08,097 Speaker 2: technology makes it easy to compare life insurance quotes from 585 00:30:08,097 --> 00:30:10,257 Speaker 2: America's top insurance and just a few clicks to find 586 00:30:10,297 --> 00:30:12,857 Speaker 2: your lowest price. With policy Genius, you can find life 587 00:30:12,897 --> 00:30:16,017 Speaker 2: insurance policies that started twenty five dollars per month for 588 00:30:16,377 --> 00:30:19,297 Speaker 2: per million dollars per a million dollars of coverage. Some 589 00:30:19,337 --> 00:30:21,137 Speaker 2: options offer coverage in as little as a week and 590 00:30:21,177 --> 00:30:24,817 Speaker 2: avoid unnecessary medical exams. Your loved ones deserve a financial 591 00:30:24,817 --> 00:30:27,257 Speaker 2: safety net, and you deserve a smarter way to find it. 592 00:30:27,537 --> 00:30:30,297 Speaker 2: Go online to policygenius dot com. Click the link of 593 00:30:30,337 --> 00:30:32,737 Speaker 2: the description to get your free life insurance quote. See 594 00:30:32,737 --> 00:30:37,897 Speaker 2: how much you could save. That's policy genius dot com. 595 00:30:38,457 --> 00:30:41,697 Speaker 2: So I'm speaking to Chris Williamson here life genius. This 596 00:30:41,777 --> 00:30:44,017 Speaker 2: guy knows all kinds of things about how to lead 597 00:30:44,577 --> 00:30:47,697 Speaker 2: a life rooted in modern wisdom. Also the name of 598 00:30:47,857 --> 00:30:51,897 Speaker 2: his of his podcast, and that's where I can also 599 00:30:51,937 --> 00:30:56,137 Speaker 2: now take the conversation two. It feels like what would 600 00:30:56,137 --> 00:30:58,417 Speaker 2: have been described as a we how old are you? 601 00:30:58,657 --> 00:31:00,097 Speaker 2: I can't. I don't even know how old you are? 602 00:31:00,657 --> 00:31:01,217 Speaker 1: Thirty five? 603 00:31:01,577 --> 00:31:03,697 Speaker 2: Thirty five? All right, so we're I mean, I'm forty one, 604 00:31:03,777 --> 00:31:05,697 Speaker 2: so I'm a little bit, you know, just wait to 605 00:31:05,697 --> 00:31:07,617 Speaker 2: get to be my age. Your shoulders start to hurt 606 00:31:07,657 --> 00:31:10,937 Speaker 2: for no reason. Your knees already book. You probably do 607 00:31:10,937 --> 00:31:12,977 Speaker 2: a lot of yoga and stuff though here anyway, But 608 00:31:12,977 --> 00:31:16,057 Speaker 2: you got like five or six years. But what what 609 00:31:16,057 --> 00:31:20,937 Speaker 2: what we grew up with as the masculine virtues. It 610 00:31:21,017 --> 00:31:24,857 Speaker 2: seems increasingly there really, there really is a broad societal 611 00:31:24,857 --> 00:31:28,057 Speaker 2: effort to make that stuff. I mean, toxic masculinity is 612 00:31:28,097 --> 00:31:31,497 Speaker 2: the obvious phrase that's used, but to suppress it. And 613 00:31:31,537 --> 00:31:33,417 Speaker 2: starting also at a very young age, you know, for 614 00:31:33,497 --> 00:31:35,577 Speaker 2: young men, you know they're uh, you know, I mean 615 00:31:35,617 --> 00:31:39,617 Speaker 2: your boys, even they're a rambunctiousness there the things that 616 00:31:39,617 --> 00:31:41,457 Speaker 2: we would associate with boys will be boys and they 617 00:31:41,457 --> 00:31:43,017 Speaker 2: get older and this is what a man should be. 618 00:31:43,617 --> 00:31:45,297 Speaker 2: Feels like society is trying to turn all that on 619 00:31:45,377 --> 00:31:47,097 Speaker 2: its head. How much of that is real? And how 620 00:31:47,137 --> 00:31:48,537 Speaker 2: bad is it if it is real? 621 00:31:49,737 --> 00:31:52,377 Speaker 1: I think that there are some real concerns to do 622 00:31:52,457 --> 00:31:54,977 Speaker 1: with how society sees boys in masculinity. At the moment 623 00:31:55,177 --> 00:31:58,777 Speaker 1: you spoke about toxic masculinity. I actually found recently, for 624 00:31:58,817 --> 00:32:00,577 Speaker 1: a debate that I did out in Qatar, a bunch 625 00:32:00,577 --> 00:32:05,537 Speaker 1: of different headlines that were accused of being toxic masculinity 626 00:32:05,537 --> 00:32:09,337 Speaker 1: that come through in the mainstream media recently, Brexit toxic masculinity, 627 00:32:09,337 --> 00:32:12,257 Speaker 1: the election of Donald Trump, not wearing a mask, eating meat, 628 00:32:12,657 --> 00:32:17,137 Speaker 1: physical fitness toxic masculinity, hip hop, smelling of axe body 629 00:32:17,177 --> 00:32:20,337 Speaker 1: spray was toxic masculinity being interested. 630 00:32:22,217 --> 00:32:26,297 Speaker 2: To be fair, I don't, I'm not a fan, keep going. 631 00:32:26,537 --> 00:32:29,177 Speaker 1: Pretty oppressive, playing board games, being interested in cars and 632 00:32:29,217 --> 00:32:31,897 Speaker 1: saying hello or have a nice day. So there are 633 00:32:33,817 --> 00:32:38,417 Speaker 1: what used to be simply unpleasant or perhaps slightly distasteful 634 00:32:38,457 --> 00:32:41,297 Speaker 1: behavior by men has now become pathologized. And if you 635 00:32:41,377 --> 00:32:45,057 Speaker 1: want to guarantee men not engaging in a conversation, you 636 00:32:45,097 --> 00:32:47,857 Speaker 1: want to pathologize them. You want to basically make it 637 00:32:47,897 --> 00:32:49,777 Speaker 1: out that there is something inside of them that needs 638 00:32:49,817 --> 00:32:53,177 Speaker 1: to be exhumed or exercised. Right like original sin, you 639 00:32:53,217 --> 00:32:56,217 Speaker 1: are broken. You are Ultimately it is your fault. And 640 00:32:56,257 --> 00:32:59,057 Speaker 1: when we come to parts of masculinity that we probably 641 00:32:59,057 --> 00:33:03,577 Speaker 1: should keep a hold of. The twenty twelve shooting in Aurora, Colorado, 642 00:33:03,977 --> 00:33:07,577 Speaker 1: the Dark Knight movie premiere. So the shooter is a 643 00:33:07,617 --> 00:33:10,457 Speaker 1: twenty four year old male and in the midst of 644 00:33:10,457 --> 00:33:14,457 Speaker 1: the onslaught there's three men twenty four, twenty six, and 645 00:33:14,497 --> 00:33:17,897 Speaker 1: twenty seven who threw themselves on top of their girlfriends 646 00:33:17,897 --> 00:33:20,857 Speaker 1: as these bullets are shot into the crowd. All three 647 00:33:20,897 --> 00:33:25,497 Speaker 1: men died, all three women survived. That is precisely the 648 00:33:25,577 --> 00:33:28,897 Speaker 1: kind of masculinity that will be gotten rid of if 649 00:33:28,897 --> 00:33:31,657 Speaker 1: you want to throw baby, bathwater, and bath out altogether. 650 00:33:33,137 --> 00:33:36,697 Speaker 2: Yes, And it seems that unfortunately this is also playing 651 00:33:36,697 --> 00:33:38,817 Speaker 2: out of me and I just had I had a 652 00:33:38,897 --> 00:33:42,217 Speaker 2: lot of people with military and special operations backgrounds on 653 00:33:42,377 --> 00:33:45,137 Speaker 2: both radio for many many years now, and then even 654 00:33:45,177 --> 00:33:52,097 Speaker 2: on the podcast, we had a Kiowa female Kiowa combat 655 00:33:52,177 --> 00:33:55,337 Speaker 2: pilot multiple tours overseas, you know, flying one of those 656 00:33:55,337 --> 00:33:58,377 Speaker 2: helicopters that's got rocket pods on it and machine guns 657 00:33:58,377 --> 00:34:00,137 Speaker 2: and was doing all the stuff that one does in 658 00:34:00,177 --> 00:34:03,097 Speaker 2: a combat zone. And she said that the military is 659 00:34:03,137 --> 00:34:07,417 Speaker 2: now being toyed with, and there's a social engineering that's 660 00:34:07,417 --> 00:34:10,977 Speaker 2: going on that's meant to undermine the base ethos of 661 00:34:11,577 --> 00:34:14,297 Speaker 2: people that have to be willing to put their lives online, 662 00:34:14,417 --> 00:34:17,177 Speaker 2: not necessarily in the same context as what you just mentioned, 663 00:34:17,177 --> 00:34:20,257 Speaker 2: but for their country as well as you know, for 664 00:34:20,337 --> 00:34:23,217 Speaker 2: their their comrades and arms. So I do think something's 665 00:34:23,297 --> 00:34:27,017 Speaker 2: going on there all. But but switching gears for a second, 666 00:34:27,577 --> 00:34:29,417 Speaker 2: you know, one of the things, I mean, I came 667 00:34:29,457 --> 00:34:31,977 Speaker 2: across your work. I've seen it on on the TikTok 668 00:34:32,057 --> 00:34:35,257 Speaker 2: and some other places, and there are moments I think 669 00:34:35,257 --> 00:34:40,497 Speaker 2: there are distill there are distilled moments of insight from 670 00:34:40,737 --> 00:34:43,817 Speaker 2: from the work that you're doing that are particularly pointing 671 00:34:43,857 --> 00:34:46,697 Speaker 2: in that very memorable for people. What's something though, that 672 00:34:46,737 --> 00:34:51,497 Speaker 2: you've come away from one of your conversations that you 673 00:34:51,577 --> 00:34:55,857 Speaker 2: say to yourself is a difficult truth that people need 674 00:34:55,857 --> 00:34:59,337 Speaker 2: to hear that you just you know, you want to 675 00:34:59,377 --> 00:35:01,097 Speaker 2: spread the word about it, but you know people don't. 676 00:35:01,337 --> 00:35:03,977 Speaker 2: What is a difficult truth that people think? I want 677 00:35:03,977 --> 00:35:05,777 Speaker 2: to find a way around that I want to argue 678 00:35:05,817 --> 00:35:07,417 Speaker 2: with Chris on that you're like, no, this is the 679 00:35:07,457 --> 00:35:07,897 Speaker 2: way it is. 680 00:35:09,657 --> 00:35:12,097 Speaker 1: So two what would come to mind. One is that 681 00:35:12,737 --> 00:35:15,657 Speaker 1: regrets are inevitable in life, that they're not a bug 682 00:35:15,857 --> 00:35:17,937 Speaker 1: of life, They're a feature. You are going to have 683 00:35:17,977 --> 00:35:21,177 Speaker 1: regrets in life. And when it comes to choosing between 684 00:35:21,217 --> 00:35:24,897 Speaker 1: different things, a much smarter question to ask yourself would 685 00:35:24,937 --> 00:35:27,497 Speaker 1: be which regret can I live with? As opposed to 686 00:35:27,577 --> 00:35:30,577 Speaker 1: which thing do I want to do? Because what you 687 00:35:30,657 --> 00:35:33,617 Speaker 1: realize is over time you're going to accumulate regrets and 688 00:35:33,697 --> 00:35:35,737 Speaker 1: those are the things that are going to hurt a lot. 689 00:35:36,057 --> 00:35:38,577 Speaker 1: So if you do end up being faced with a 690 00:35:38,577 --> 00:35:41,257 Speaker 1: difficult challenge, one that is risky but is going to 691 00:35:41,257 --> 00:35:43,257 Speaker 1: be fulfilling and will close a loop and will mean 692 00:35:43,257 --> 00:35:44,737 Speaker 1: that for the rest of your life you don't ever 693 00:35:44,817 --> 00:35:46,497 Speaker 1: have to wonder about whether or not you could have 694 00:35:46,497 --> 00:35:49,537 Speaker 1: what should have done that thing. That's something that's very good. 695 00:35:49,817 --> 00:35:51,537 Speaker 1: The other thing, and this is a good question that 696 00:35:51,577 --> 00:35:53,777 Speaker 1: I love to ask friends at dinner parties, is what 697 00:35:53,897 --> 00:35:56,617 Speaker 1: is currently being ignored by the media, but in future 698 00:35:56,657 --> 00:35:59,937 Speaker 1: will be studied by historians. And it's my belief that 699 00:36:00,097 --> 00:36:03,017 Speaker 1: the birth rate decline at the moment is something which 700 00:36:03,297 --> 00:36:06,897 Speaker 1: nobody is paying attention to. Climate change is the current 701 00:36:07,017 --> 00:36:10,177 Speaker 1: existential crisis that is given an awful lot of focus, 702 00:36:10,897 --> 00:36:14,137 Speaker 1: and in thirty or forty years, you are going to 703 00:36:14,177 --> 00:36:17,297 Speaker 1: have huge, huge cities all around the world with no 704 00:36:17,337 --> 00:36:17,817 Speaker 1: one in them. 705 00:36:17,937 --> 00:36:20,257 Speaker 2: Let's come back and dive into that in one second. 706 00:36:20,377 --> 00:36:24,777 Speaker 2: Let's talk about the declining birth rate globally, because my friends, 707 00:36:24,897 --> 00:36:26,937 Speaker 2: I got a good buddy who used to hate shaving, 708 00:36:27,297 --> 00:36:29,537 Speaker 2: and as you can see, I actually just started recently. 709 00:36:29,577 --> 00:36:31,017 Speaker 2: I got rid of the beard after god, I don't 710 00:36:31,017 --> 00:36:34,177 Speaker 2: know five or six years, but I'm one of those 711 00:36:34,217 --> 00:36:36,017 Speaker 2: guys now who wants to make sure that I'm getting 712 00:36:36,017 --> 00:36:38,937 Speaker 2: the best shave I possibly can, and I don't want 713 00:36:38,977 --> 00:36:41,497 Speaker 2: irritation and ingrown facial hair, all that kind of stuff. 714 00:36:41,977 --> 00:36:44,377 Speaker 2: So that's why you got to check out one blade shave. 715 00:36:44,977 --> 00:36:47,537 Speaker 2: It's all you need for a clean, comfortable shave, leaving 716 00:36:47,577 --> 00:36:50,737 Speaker 2: your face feeling great. One blade. Big razor companies have 717 00:36:50,777 --> 00:36:53,257 Speaker 2: been lined to you for decades saying more blades better. 718 00:36:53,297 --> 00:36:56,017 Speaker 2: That's because the blades are crap. They're low quality. You 719 00:36:56,097 --> 00:36:58,577 Speaker 2: want one blade that is super high quality because it 720 00:36:58,617 --> 00:37:01,057 Speaker 2: is better for your face, better for your skin. One 721 00:37:01,097 --> 00:37:03,657 Speaker 2: blade state of the Art award winning razor design makes 722 00:37:03,737 --> 00:37:07,337 Speaker 2: single edge shaving completely natural and effortless. These razors have 723 00:37:07,377 --> 00:37:09,937 Speaker 2: a patented pivoted head that hugs the skin and ensures 724 00:37:09,937 --> 00:37:12,617 Speaker 2: the blade is always at the correct angle. And one 725 00:37:12,657 --> 00:37:15,097 Speaker 2: Blade's handle is metal. It's not plastic. It's not some 726 00:37:15,217 --> 00:37:17,617 Speaker 2: cheap crap that comes from overseas. This stuff is weighty 727 00:37:17,657 --> 00:37:21,057 Speaker 2: and substantial and worthy of your face. To elevate your 728 00:37:21,057 --> 00:37:24,337 Speaker 2: shaving experience, get twenty percent off your one blade order 729 00:37:24,377 --> 00:37:28,337 Speaker 2: when you go right now to one bladeshave dot com 730 00:37:28,337 --> 00:37:33,097 Speaker 2: slash buck that's one spelled out o any one bladeshave 731 00:37:33,297 --> 00:37:35,377 Speaker 2: dot com slash buck. You'll get twenty percent off your 732 00:37:35,377 --> 00:37:38,337 Speaker 2: first order. There's the best raises you'll get absolutely anywhere, phenomenal. 733 00:37:38,337 --> 00:37:39,777 Speaker 2: I've had them for years and I'm now starting to 734 00:37:39,817 --> 00:37:42,537 Speaker 2: use them again now that I'm actually clean shaven, which 735 00:37:43,057 --> 00:37:46,177 Speaker 2: I had to get approval from the wife. Chris. Okay, 736 00:37:46,337 --> 00:37:49,257 Speaker 2: Actually funny story. We had a woman named Phyllis who 737 00:37:49,257 --> 00:37:51,977 Speaker 2: wrote into the radio show and she went on this 738 00:37:52,057 --> 00:37:54,697 Speaker 2: like little tirade about how I was much handsomer before 739 00:37:54,697 --> 00:37:58,337 Speaker 2: I had a beard, and I just everyone started laughing 740 00:37:58,337 --> 00:37:59,697 Speaker 2: at me on the crew and the radio show and 741 00:37:59,697 --> 00:38:01,817 Speaker 2: everything else. I was like, you know what, if the 742 00:38:01,817 --> 00:38:04,297 Speaker 2: wife says it, I'm We're gonna give Phyllis what she wants. 743 00:38:04,297 --> 00:38:06,297 Speaker 2: So now I'm a clean shaven man and some. 744 00:38:06,537 --> 00:38:09,337 Speaker 1: Your wife has veto power over your facial hah. 745 00:38:09,257 --> 00:38:11,137 Speaker 2: Yeah, she has veta power of it, because come on, 746 00:38:11,177 --> 00:38:12,537 Speaker 2: I mean, who else is really you know what I 747 00:38:12,577 --> 00:38:15,937 Speaker 2: means is at four? Yeah? Yeah, exactly. It's like it's 748 00:38:15,937 --> 00:38:18,457 Speaker 2: all really matters, all right. So we were talking about 749 00:38:19,377 --> 00:38:22,777 Speaker 2: declining birth rates and I remember, I'm sure you've read it. 750 00:38:22,817 --> 00:38:27,017 Speaker 2: There was the Mark Stein book America Alone, I think 751 00:38:27,057 --> 00:38:30,417 Speaker 2: it was maybe came out fifteen years ago, and just 752 00:38:30,497 --> 00:38:33,617 Speaker 2: crunching the numbers, and it was basically, the West is 753 00:38:33,737 --> 00:38:36,577 Speaker 2: done over a long enough time frame, just based on 754 00:38:36,617 --> 00:38:40,977 Speaker 2: the declining birth rate except America, but now America is 755 00:38:40,977 --> 00:38:43,097 Speaker 2: actually heading the lawn trajectory too. Tell me what's going 756 00:38:43,137 --> 00:38:45,137 Speaker 2: on here with declining birth rates. We can start globally, 757 00:38:45,177 --> 00:38:47,377 Speaker 2: think would bring it home to the US. 758 00:38:47,057 --> 00:38:51,297 Speaker 1: Of a So seventy percent of people around the world 759 00:38:51,337 --> 00:38:53,017 Speaker 1: to live in a country which is below the birthrate 760 00:38:53,057 --> 00:38:56,657 Speaker 1: tipping point, which is two point one children per woman. 761 00:38:57,817 --> 00:39:01,217 Speaker 1: I don't know whether this is a something to be 762 00:39:01,337 --> 00:39:04,297 Speaker 1: happy about or not, but the worst places in the 763 00:39:04,297 --> 00:39:07,297 Speaker 1: world are currently in the East. So Korea. South Korea's 764 00:39:07,297 --> 00:39:10,777 Speaker 1: birthrate is not zero point eight point eight, which is 765 00:39:10,897 --> 00:39:15,217 Speaker 1: absolutely insane. Japan arod just over one one point two. 766 00:39:15,977 --> 00:39:18,897 Speaker 1: So let's say Japan's got aboute hundred and twenty million 767 00:39:19,057 --> 00:39:21,217 Speaker 1: people in it or so by twenty fifty that's going 768 00:39:21,257 --> 00:39:23,657 Speaker 1: to be sixty million, China one point two billion by 769 00:39:23,697 --> 00:39:27,137 Speaker 1: twenty fifty six hundred and fifty million. So it is 770 00:39:27,177 --> 00:39:30,777 Speaker 1: a precipitous decline, very very aggressive. When you get across 771 00:39:30,777 --> 00:39:33,777 Speaker 1: to the US, I think it's in the high ones 772 00:39:33,817 --> 00:39:36,217 Speaker 1: one point seven ish one point six, one point seven 773 00:39:36,257 --> 00:39:40,977 Speaker 1: one point eight. Not great. Now you can fix this 774 00:39:41,057 --> 00:39:47,537 Speaker 1: problem to a degree with immigration, but not massively because 775 00:39:47,617 --> 00:39:50,377 Speaker 1: even South American countries are having declining birth rates. So overall, 776 00:39:50,417 --> 00:39:52,497 Speaker 1: you can move bits of the pie around on the 777 00:39:52,497 --> 00:39:54,977 Speaker 1: world as much as you want, but the pie is 778 00:39:55,137 --> 00:39:59,217 Speaker 1: still continuing to get smaller. And it is very, very concerning. 779 00:39:59,417 --> 00:40:02,697 Speaker 2: Why aren't people having more babies in developed countries? And 780 00:40:02,777 --> 00:40:04,417 Speaker 2: you know, obviously we know in the third world that's 781 00:40:04,497 --> 00:40:04,937 Speaker 2: very different. 782 00:40:05,977 --> 00:40:08,897 Speaker 1: In the third world, they're declining as well, by one 783 00:40:09,497 --> 00:40:11,777 Speaker 1: child per every fifteen years. So let's say you go 784 00:40:11,777 --> 00:40:13,777 Speaker 1: to Ghana, you go to Chad somewhere like that, eight 785 00:40:14,097 --> 00:40:15,857 Speaker 1: and it's seven, then it's six, then it's five each 786 00:40:15,897 --> 00:40:18,657 Speaker 1: fifteen years. It's going down. It seems like as soon 787 00:40:18,817 --> 00:40:23,057 Speaker 1: as you industrialize country and you educate the women and 788 00:40:23,057 --> 00:40:26,377 Speaker 1: give them the opportunity to do other things, those other 789 00:40:26,537 --> 00:40:29,857 Speaker 1: life paths begin to compete with family life. And it's 790 00:40:29,977 --> 00:40:32,657 Speaker 1: not the interesting stat The most interesting stat around this 791 00:40:32,777 --> 00:40:36,897 Speaker 1: is the average number of children per mother hasn't changed. 792 00:40:37,337 --> 00:40:40,697 Speaker 1: It's the number of motherless women or childless women that 793 00:40:40,737 --> 00:40:43,337 Speaker 1: has increased. So if you have your first, it's likely 794 00:40:43,377 --> 00:40:44,897 Speaker 1: that you will go on to have a second, and 795 00:40:44,937 --> 00:40:47,297 Speaker 1: a third and so on and so forth. The large 796 00:40:47,337 --> 00:40:49,777 Speaker 1: difference is in the number of women who never starts 797 00:40:49,857 --> 00:40:55,257 Speaker 1: to have the first go ahead, go ahead, just that 798 00:40:55,257 --> 00:40:59,737 Speaker 1: that's that is the highest point of leverage. And it 799 00:40:59,817 --> 00:41:01,697 Speaker 1: seems that the most common reason, as we said before, 800 00:41:01,737 --> 00:41:04,177 Speaker 1: eight out of ten women broke through that fertility window 801 00:41:04,177 --> 00:41:06,377 Speaker 1: didn't intend to not have children. Most common reason is 802 00:41:06,737 --> 00:41:09,817 Speaker 1: life circumstance. Didn't find a partner within time because that 803 00:41:09,857 --> 00:41:14,777 Speaker 1: for windows been squeezed by a combination of education, employment, 804 00:41:14,897 --> 00:41:17,057 Speaker 1: and you could say, raising living costs, all that stuff 805 00:41:17,097 --> 00:41:18,617 Speaker 1: you know, might be getting in the way people feel 806 00:41:18,617 --> 00:41:22,497 Speaker 1: like they need a two income household. Absolutely potential, but. 807 00:41:23,977 --> 00:41:28,177 Speaker 2: O good. What do the numbers tell us about female 808 00:41:29,257 --> 00:41:33,777 Speaker 2: life satisfaction when it comes to pursuing family as the 809 00:41:33,777 --> 00:41:37,257 Speaker 2: first priority versus a career. 810 00:41:38,897 --> 00:41:43,497 Speaker 1: The current longest study of happiness is the Harvard Study 811 00:41:43,497 --> 00:41:45,817 Speaker 1: of Adult Development. It's been going for decades and decades 812 00:41:45,857 --> 00:41:47,657 Speaker 1: and decades, and they've studied the same people, and then 813 00:41:47,657 --> 00:41:52,177 Speaker 1: they've studied the children of these people. The strongest predictor 814 00:41:52,377 --> 00:41:55,097 Speaker 1: of your health outcomes in life, of your happiness, of 815 00:41:55,137 --> 00:41:59,657 Speaker 1: your resilience are your number of family, friend, and romantic partners. 816 00:42:00,137 --> 00:42:03,817 Speaker 1: That's it. It's relationships all the way down. Friends, family, 817 00:42:04,097 --> 00:42:08,257 Speaker 1: and romantic partner. That's what is the best predictor for everything, 818 00:42:08,337 --> 00:42:10,017 Speaker 1: every health outcome that you care to care about. 819 00:42:10,697 --> 00:42:13,937 Speaker 2: So that actually pivots us nicely into what I wanted 820 00:42:13,937 --> 00:42:15,337 Speaker 2: to ask you about as well, because I know that 821 00:42:15,497 --> 00:42:19,897 Speaker 2: one of the things you've done on Modern Wisdom podcasts 822 00:42:19,897 --> 00:42:23,617 Speaker 2: for everyone to check out is you've sat down with 823 00:42:23,657 --> 00:42:25,297 Speaker 2: a lot of people who are super high achievers and 824 00:42:25,337 --> 00:42:27,617 Speaker 2: also people who study super high achievers. And I listened 825 00:42:27,617 --> 00:42:30,337 Speaker 2: to your episode with David Senra Is that right? Isn't 826 00:42:30,337 --> 00:42:34,057 Speaker 2: my Getting his Name Right? Podcast? Yeah, founder's podcast I've 827 00:42:34,097 --> 00:42:35,817 Speaker 2: listened to, and I listened to you talk to him, 828 00:42:35,817 --> 00:42:38,617 Speaker 2: and then I listened to a number of Cenra's episodes. 829 00:42:38,657 --> 00:42:42,617 Speaker 2: I love the Enzo Ferrari and Yeah, but one thing, 830 00:42:42,817 --> 00:42:44,457 Speaker 2: and I know you've touched on this, and I just 831 00:42:44,537 --> 00:42:46,737 Speaker 2: wanted your your take, and I know you've discussed this 832 00:42:46,777 --> 00:42:49,777 Speaker 2: in on other forums, But because I think about this 833 00:42:49,817 --> 00:42:51,337 Speaker 2: all the time, and I think about this in the 834 00:42:51,337 --> 00:42:53,417 Speaker 2: people that I see around me. I mean, growing up 835 00:42:53,417 --> 00:42:56,337 Speaker 2: in New York City, I certainly saw and was around 836 00:42:56,337 --> 00:43:01,297 Speaker 2: people who were at that level of success where they 837 00:43:01,337 --> 00:43:04,617 Speaker 2: are famous, rich and powerful beyond the wildest dreams of 838 00:43:04,657 --> 00:43:06,457 Speaker 2: you know, ninety nine point nine nine nine percent of 839 00:43:06,457 --> 00:43:09,457 Speaker 2: the population, and some of them were deeply miserable with 840 00:43:09,737 --> 00:43:12,977 Speaker 2: her fit personal lives. And I was close enough to it. 841 00:43:12,977 --> 00:43:14,537 Speaker 2: I mean I would sometimes be in the you know, 842 00:43:14,537 --> 00:43:16,337 Speaker 2: I was like friends with the kids or the grandkids, 843 00:43:16,417 --> 00:43:18,537 Speaker 2: right Like I would be in the house with and 844 00:43:18,577 --> 00:43:22,457 Speaker 2: I'd say, Okay, well you got you know, you got 845 00:43:22,497 --> 00:43:25,057 Speaker 2: fifteen billion or whatever, and you've got a lot of properties, 846 00:43:25,097 --> 00:43:27,897 Speaker 2: but you're also on wife number four. Your kids hate 847 00:43:27,937 --> 00:43:31,497 Speaker 2: your guts, and you know you and you look like 848 00:43:31,577 --> 00:43:34,177 Speaker 2: you could keel over at any moment. You're only in 849 00:43:34,217 --> 00:43:36,697 Speaker 2: like your sixties or fifties or whatever. You get the idea, 850 00:43:37,657 --> 00:43:43,577 Speaker 2: is extreme excellence worth the trade off for most people. No. 851 00:43:44,457 --> 00:43:46,977 Speaker 1: In short, no, I don't think so. I think that 852 00:43:47,617 --> 00:43:49,817 Speaker 1: if you were to see the inner texture of most 853 00:43:49,857 --> 00:43:52,897 Speaker 1: of the people that you admire as minds, you would 854 00:43:52,977 --> 00:43:56,497 Speaker 1: feel far more pity than envy for them. That the 855 00:43:56,577 --> 00:44:00,137 Speaker 1: price that most people pay to be absolute top peak 856 00:44:00,217 --> 00:44:06,577 Speaker 1: flight achievers, it's unbearable. It's an unbelievably high cost. And 857 00:44:06,617 --> 00:44:09,377 Speaker 1: there was this really interesting study where they looked at 858 00:44:09,657 --> 00:44:14,817 Speaker 1: the the most common qualities that elite achievers had the 859 00:44:14,857 --> 00:44:19,057 Speaker 1: most successful people. What they had three things superiority complex, 860 00:44:19,857 --> 00:44:25,017 Speaker 1: crippling insecurity, and impulse control. Superiority complex you believe that 861 00:44:25,017 --> 00:44:27,457 Speaker 1: you can do more than other people. Crippling insecurity it 862 00:44:27,577 --> 00:44:30,217 Speaker 1: drives you to prove people wrong. And impulse control you 863 00:44:30,217 --> 00:44:32,417 Speaker 1: can focus yourself and move yourself forward. So what does 864 00:44:32,457 --> 00:44:34,497 Speaker 1: it mean that the people who we admire the most, 865 00:44:34,577 --> 00:44:37,177 Speaker 1: that society says are the most successful are the ones 866 00:44:37,217 --> 00:44:41,097 Speaker 1: who have the least admirable internal states? Probably means that 867 00:44:41,177 --> 00:44:42,857 Speaker 1: you need to work out from first principles what you 868 00:44:42,857 --> 00:44:44,897 Speaker 1: care about in life, and you need to go after 869 00:44:44,937 --> 00:44:47,497 Speaker 1: that as opposed to doing what you think other people 870 00:44:47,697 --> 00:44:50,977 Speaker 1: do for success, because the people that are the most successful, 871 00:44:51,017 --> 00:44:54,297 Speaker 1: I think, on average, are more miserable than the normal person. 872 00:44:55,377 --> 00:44:58,097 Speaker 2: Does seem that what was it the Greeks had? The concept? 873 00:44:58,177 --> 00:45:02,097 Speaker 2: Was it Metron? Like balance in all things? Yeah? Am 874 00:45:02,137 --> 00:45:04,177 Speaker 2: I crazy on that one? I don't know. I might 875 00:45:04,497 --> 00:45:05,417 Speaker 2: have paid something up. 876 00:45:06,057 --> 00:45:08,177 Speaker 1: Metron sounds like a sci fi show, but I'm down 877 00:45:08,177 --> 00:45:09,857 Speaker 1: for it. If you say it's legit. 878 00:45:10,217 --> 00:45:15,657 Speaker 2: I might have totally mean I might have just yeah, well, 879 00:45:15,697 --> 00:45:19,137 Speaker 2: hold on a moderation and good measure pan Metron addistan? 880 00:45:19,337 --> 00:45:22,297 Speaker 2: Is that right? There? We go? Yeah? All right, yeah, 881 00:45:22,337 --> 00:45:23,697 Speaker 2: so I was like kind of I was like in 882 00:45:23,737 --> 00:45:25,857 Speaker 2: the I was in the realm of this is what 883 00:45:25,937 --> 00:45:27,577 Speaker 2: have you? A podcast? You just say stuff out loud 884 00:45:27,617 --> 00:45:30,017 Speaker 2: as it comes into your brain. Right. It was like 885 00:45:30,097 --> 00:45:33,097 Speaker 2: part of the phrase which is balance in all things 886 00:45:33,177 --> 00:45:35,817 Speaker 2: or you know, everything in moderation metron iris on everything 887 00:45:35,817 --> 00:45:39,017 Speaker 2: in moderation. Okay, there we go. Now, I'm it did 888 00:45:39,097 --> 00:45:39,537 Speaker 2: sound like. 889 00:45:39,497 --> 00:45:42,697 Speaker 3: I had like a you know, a laser cannon instead 890 00:45:42,737 --> 00:45:44,217 Speaker 3: of a hen and I was like, you know, doing 891 00:45:44,257 --> 00:45:47,217 Speaker 3: somersaults around and shooting wizard people or something, but you know, 892 00:45:48,377 --> 00:45:49,657 Speaker 3: the same basic idea. 893 00:45:50,377 --> 00:45:52,257 Speaker 2: All right, man, Chris, I really appreciate you making the time. 894 00:45:52,257 --> 00:45:53,737 Speaker 2: I know you're super busy. Just I wanted to give 895 00:45:53,777 --> 00:45:56,417 Speaker 2: you this before you go. Everyone check out Modern Wizard podcast. Obviously, 896 00:45:56,457 --> 00:45:57,857 Speaker 2: as you can tell, I've listened to a whole bunch 897 00:45:57,897 --> 00:45:59,977 Speaker 2: of episodes myself. That's why I want to have Chris 898 00:46:00,057 --> 00:46:03,857 Speaker 2: on and what is you know, we've talked about some 899 00:46:03,937 --> 00:46:05,697 Speaker 2: things that are a little little bit of of a bummer, 900 00:46:05,977 --> 00:46:09,097 Speaker 2: you could say, like the decline and possible collapse of 901 00:46:09,097 --> 00:46:11,977 Speaker 2: the human specie, the destruction of masculinity, a bunch of 902 00:46:12,057 --> 00:46:14,577 Speaker 2: things female mental health, Like there are some look when 903 00:46:14,657 --> 00:46:16,417 Speaker 2: you spend time thinking about things, it should be about 904 00:46:16,497 --> 00:46:18,497 Speaker 2: challenges and whereas you can fix it, which we've done 905 00:46:18,497 --> 00:46:21,817 Speaker 2: a little bit of. What is though the most if 906 00:46:21,857 --> 00:46:23,777 Speaker 2: you're just trying to tell people about something that you 907 00:46:23,777 --> 00:46:26,857 Speaker 2: have found from your work or from your reflection on 908 00:46:27,257 --> 00:46:31,057 Speaker 2: all things recently, that makes you hopeful. 909 00:46:32,377 --> 00:46:35,977 Speaker 1: Pretty much everybody that's listening to this has spent time 910 00:46:36,217 --> 00:46:41,777 Speaker 1: imagining just how catastrophic some scenario could occur right laid 911 00:46:41,777 --> 00:46:45,497 Speaker 1: awake at night, worrying, neurotic thought loops, unable to sleep, 912 00:46:45,697 --> 00:46:48,337 Speaker 1: unable to relax. And yet every single person that is 913 00:46:48,377 --> 00:46:50,737 Speaker 1: sat here listening to us right now has got through 914 00:46:50,817 --> 00:46:53,537 Speaker 1: whatever challenge they faced. As far as I can see, 915 00:46:54,257 --> 00:46:57,897 Speaker 1: everybody is way, way, way more capable, infinitely more capable 916 00:46:57,897 --> 00:46:59,777 Speaker 1: of dealing whatever life can throw at them than their 917 00:46:59,817 --> 00:47:02,257 Speaker 1: mind predicts that they can be. And yet each time 918 00:47:02,257 --> 00:47:04,497 Speaker 1: that we face a challenge, we believe that we're not 919 00:47:04,497 --> 00:47:06,057 Speaker 1: going to be able to overcome it. You think we'll 920 00:47:06,097 --> 00:47:08,657 Speaker 1: hang in a second. I have a stack of undeniable 921 00:47:08,697 --> 00:47:11,937 Speaker 1: proof behind me, every single thing that I've come up against. 922 00:47:11,977 --> 00:47:14,257 Speaker 1: I'm here, I virtue of being here. I've got through it. 923 00:47:14,897 --> 00:47:19,257 Speaker 1: So I think that resilience is proved one day at 924 00:47:19,257 --> 00:47:21,457 Speaker 1: a time, and every single person that is sat here 925 00:47:21,497 --> 00:47:24,297 Speaker 1: listening to this has that resilience. They have a stack 926 00:47:24,297 --> 00:47:26,457 Speaker 1: of undeniable proof that they can get through whatever the 927 00:47:26,457 --> 00:47:28,417 Speaker 1: world faces and throws at them. 928 00:47:28,497 --> 00:47:33,377 Speaker 2: So there reason why everybody to read Shackleton Endurance, which 929 00:47:33,417 --> 00:47:35,457 Speaker 2: is my favorite book that has been for a long time. 930 00:47:35,577 --> 00:47:40,017 Speaker 1: Alfred, Oh my god, dude, phenomenal. Let me give you 931 00:47:40,097 --> 00:47:41,097 Speaker 1: a suggestion before I go. 932 00:47:41,377 --> 00:47:41,577 Speaker 2: Sure. 933 00:47:41,657 --> 00:47:47,697 Speaker 1: The Forgotten Highlander by Alistair Urkhart Gentlemen is kidnapped by 934 00:47:47,777 --> 00:47:50,497 Speaker 1: the Japanese in World War Two in Singapore, tortured for 935 00:47:50,537 --> 00:47:52,617 Speaker 1: five years, builds the bridge over the river Quai, gets 936 00:47:52,657 --> 00:47:55,257 Speaker 1: knocked off his feet by the bomb blast from Nagasaki, 937 00:47:55,417 --> 00:47:57,897 Speaker 1: survives it all and then stays silent for fifty years 938 00:47:57,937 --> 00:48:00,417 Speaker 1: because of the British government, and writes a memoir calling 939 00:48:00,457 --> 00:48:03,937 Speaker 1: the Japanese to account. The Forgotten Highlander. Alistair Urkhart amazing 940 00:48:03,977 --> 00:48:04,217 Speaker 1: by it. 941 00:48:04,257 --> 00:48:06,537 Speaker 2: As soon as we're done, Chris Williamson, man, thank you 942 00:48:06,577 --> 00:48:09,297 Speaker 2: so much, and please come on. We have a radio 943 00:48:09,337 --> 00:48:11,057 Speaker 2: show that you should have. I mean, this is the podcast. 944 00:48:11,057 --> 00:48:13,457 Speaker 2: The radio show is about five hundred stations, so it's 945 00:48:13,577 --> 00:48:15,857 Speaker 2: technically the biggest radio show in the country. We would 946 00:48:15,857 --> 00:48:17,697 Speaker 2: love to have you on. So just let us know 947 00:48:18,177 --> 00:48:20,017 Speaker 2: a play in Buck. We'll get it going. Man, A 948 00:48:20,017 --> 00:48:22,537 Speaker 2: lot of interesting stuff I want. I want the conservative 949 00:48:22,577 --> 00:48:24,017 Speaker 2: audience to hear more of your I know a lot 950 00:48:24,017 --> 00:48:25,257 Speaker 2: of them listen to you, but you know I want 951 00:48:25,697 --> 00:48:27,617 Speaker 2: even more of them too. So thank you so much, man, 952 00:48:27,657 --> 00:48:28,537 Speaker 2: Thank you for making the time. 953 00:48:29,137 --> 00:48:30,417 Speaker 1: I appreciate you. Thank you, man.