1 00:00:04,440 --> 00:00:08,360 Speaker 1: Everybody is recurting with an army and normal folks. Welcome 2 00:00:08,800 --> 00:00:12,440 Speaker 1: to the shop. Oh look, Alex just walked in. 3 00:00:12,480 --> 00:00:14,360 Speaker 2: Yeah, and I remember the equipment this time. 4 00:00:14,800 --> 00:00:17,600 Speaker 1: Yeah, it's so nice to know that we have equipment. 5 00:00:17,640 --> 00:00:19,560 Speaker 3: How are you turned? Great? 6 00:00:19,600 --> 00:00:21,079 Speaker 2: It just broke up with a girl last night, So 7 00:00:21,120 --> 00:00:21,560 Speaker 2: that was fun. 8 00:00:25,720 --> 00:00:28,760 Speaker 3: That was wonderful. It was not fun. You seem tore 9 00:00:28,880 --> 00:00:31,400 Speaker 3: up about it. Yeah, a little torn up about it. Yeah. 10 00:00:31,920 --> 00:00:35,200 Speaker 3: I mean you're grinning from ear to ear. That'll laughing. 11 00:00:35,400 --> 00:00:37,720 Speaker 3: So I guess you're just destroyed over this. 12 00:00:37,960 --> 00:00:41,599 Speaker 4: Actually, when this will come out Friday, Yeah, yeah, it's 13 00:00:41,600 --> 00:00:42,680 Speaker 4: actually Bo's. 14 00:00:42,600 --> 00:00:45,440 Speaker 2: Wait, no, both episodes today's, but we're recording this. 15 00:00:45,479 --> 00:00:48,080 Speaker 4: So he talks about getting a thousand no's and then 16 00:00:48,120 --> 00:00:49,800 Speaker 4: ten thousand no's to get some yeses. 17 00:00:49,880 --> 00:00:51,640 Speaker 2: Yeah, sometimes I feel like that's dating. 18 00:00:52,800 --> 00:00:55,360 Speaker 3: I think that probably is you got to go. 19 00:00:55,360 --> 00:00:57,920 Speaker 4: Through a lot to find the right one. I hope 20 00:00:57,920 --> 00:01:01,320 Speaker 4: she doesn't listen to this episode. I don't think she 21 00:01:01,560 --> 00:01:02,240 Speaker 4: is a listener. 22 00:01:02,600 --> 00:01:06,480 Speaker 1: I'm so glad that Lisa hasn't left me, because I 23 00:01:06,520 --> 00:01:08,200 Speaker 1: don't know how I would do the dating thing. 24 00:01:08,280 --> 00:01:11,440 Speaker 4: Do you remember, Tiani, I recite this line a lot 25 00:01:11,480 --> 00:01:15,280 Speaker 4: when Shoemaker Clyde from Little Miracles. Yeah, probably like episode 26 00:01:15,319 --> 00:01:18,399 Speaker 4: five or six. And she said, when my husband and 27 00:01:18,400 --> 00:01:20,240 Speaker 4: I are fighting, I tell him, do you really want 28 00:01:20,280 --> 00:01:21,200 Speaker 4: to go back to Tinder? 29 00:01:21,520 --> 00:01:23,039 Speaker 3: Yeah? 30 00:01:23,200 --> 00:01:24,880 Speaker 2: It's like super dark over there. 31 00:01:25,040 --> 00:01:32,640 Speaker 3: It's really bad. Well I guess you're back. I'm back. Yeah. 32 00:01:32,800 --> 00:01:39,839 Speaker 1: Anybody listening now that once a really kind, hard working, 33 00:01:40,000 --> 00:01:45,560 Speaker 1: successful guy with four beautiful children who lives in North Mississippi. 34 00:01:45,600 --> 00:01:49,240 Speaker 1: If that is moderately interesting to you, you can email 35 00:01:49,280 --> 00:01:52,480 Speaker 1: me anytime at Bill at normal Folks nott Us and 36 00:01:52,520 --> 00:01:53,440 Speaker 1: I will respond. 37 00:01:54,040 --> 00:01:55,520 Speaker 3: Enough of my buddy Alx. 38 00:01:55,320 --> 00:01:57,560 Speaker 2: Rather than the service concierge'll be the dating. 39 00:01:58,000 --> 00:02:01,760 Speaker 1: Yeah, I'm gonna be Bill the matchmaker for Alex. 40 00:02:02,160 --> 00:02:04,440 Speaker 3: Oh my gosh, I'm a scruci by his life up. 41 00:02:04,920 --> 00:02:09,520 Speaker 1: All right, everybody's shop talk ninety six oddly coming apart? 42 00:02:15,200 --> 00:02:18,640 Speaker 4: Wait, number ninety six is first ninety six. Yeah, do 43 00:02:18,680 --> 00:02:24,519 Speaker 4: you know any let's see no Cortez Kennedy. Yeah, that's right, 44 00:02:24,800 --> 00:02:25,760 Speaker 4: that's pretty much it. 45 00:02:26,080 --> 00:02:31,320 Speaker 3: That's it. Yeah, ninety six is just a just ninety six. Yeah, 46 00:02:31,320 --> 00:02:32,720 Speaker 3: I don't know any ninety six is. 47 00:02:33,120 --> 00:02:34,200 Speaker 2: Keep going coming apart. 48 00:02:34,320 --> 00:02:35,680 Speaker 3: Besides, also, I was just. 49 00:02:35,560 --> 00:02:42,079 Speaker 1: Gonna say, I think my great, great grandmother was ninety 50 00:02:42,120 --> 00:02:45,320 Speaker 1: six when I was born, because at one time I 51 00:02:45,400 --> 00:02:47,680 Speaker 1: was a fifth living generation and she made it to 52 00:02:47,680 --> 00:02:48,600 Speaker 1: like one hundred and two. 53 00:02:49,200 --> 00:02:52,120 Speaker 3: Wow. So there's a ninety six for you. Okay. 54 00:02:53,800 --> 00:02:57,080 Speaker 1: The title of Shop Talk number ninety six is coming Apart, 55 00:02:57,639 --> 00:03:03,040 Speaker 1: or how Belmont and fish Town became two different communities. 56 00:03:04,840 --> 00:03:07,800 Speaker 1: We'll dive into that right after these brief messages from 57 00:03:08,120 --> 00:03:25,960 Speaker 1: our general sponsors. 58 00:03:26,840 --> 00:03:30,520 Speaker 3: Welcome back to the shop. Single. 59 00:03:30,800 --> 00:03:33,920 Speaker 1: Alex is in the shop right now, licking his wounds 60 00:03:33,919 --> 00:03:38,920 Speaker 1: from his terrible breakup that happened less than twenty four 61 00:03:38,920 --> 00:03:40,880 Speaker 1: hours ago, which he's just so torn up about. 62 00:03:41,760 --> 00:03:44,200 Speaker 3: All you're doing is giggling sadly. I'm kind of used 63 00:03:44,240 --> 00:03:44,480 Speaker 3: to this. 64 00:03:45,640 --> 00:03:48,520 Speaker 1: Just remember email me anytime at built normal Folks dot 65 00:03:48,600 --> 00:03:50,960 Speaker 1: us if you have any interest in Alex yourself, or 66 00:03:51,000 --> 00:03:52,720 Speaker 1: would like to fix them up with somebody who you 67 00:03:52,720 --> 00:03:53,880 Speaker 1: would All right, let's move on. 68 00:03:54,000 --> 00:03:56,240 Speaker 3: Okay, Coming Apart? 69 00:03:56,640 --> 00:04:00,360 Speaker 1: Or how belmonter Fishtown became two different Americas. All right, 70 00:04:01,240 --> 00:04:05,160 Speaker 1: let me tell you about two communities, Belmont and Fishtown. Now, 71 00:04:05,240 --> 00:04:07,760 Speaker 1: let me be clear up front, these are not real towns. 72 00:04:07,840 --> 00:04:12,120 Speaker 1: Their names Charles Murray gave to composite communities in his 73 00:04:12,200 --> 00:04:16,320 Speaker 1: book Coming Apart, he took real national data and he 74 00:04:16,400 --> 00:04:20,000 Speaker 1: built two representative communities to help us see what actually 75 00:04:20,000 --> 00:04:23,919 Speaker 1: happened in America between nineteen sixty and twenty ten. So 76 00:04:24,040 --> 00:04:29,280 Speaker 1: the names are symbolic, but the data is real. Belmont 77 00:04:29,480 --> 00:04:34,520 Speaker 1: represents the college educated upper middle class. Fishtown represents the 78 00:04:34,600 --> 00:04:38,560 Speaker 1: white working class. I think that's really interesting. I honestly 79 00:04:38,640 --> 00:04:41,160 Speaker 1: think there's a fish Town outside of Baltimore. 80 00:04:41,839 --> 00:04:44,719 Speaker 4: I remember you as soon as you said this. I 81 00:04:44,760 --> 00:04:47,599 Speaker 4: think he kind of mentioned that in the book, does he? Yeah, Yeah, 82 00:04:48,000 --> 00:04:50,960 Speaker 4: these are just like composite actors. You know, we're a composite. 83 00:04:51,960 --> 00:04:52,880 Speaker 4: I feel like this is real. 84 00:04:53,400 --> 00:04:56,599 Speaker 1: Data is real, but he's not putting it on a 85 00:04:56,680 --> 00:05:00,360 Speaker 1: current series, just fictitiously coming up with cities. 86 00:05:00,400 --> 00:05:01,760 Speaker 3: But I'm telling you Fishtown. 87 00:05:01,839 --> 00:05:04,600 Speaker 1: There's an East Coast major city that's got a fish 88 00:05:04,640 --> 00:05:05,000 Speaker 1: down in it. 89 00:05:05,160 --> 00:05:07,240 Speaker 3: I will look it up for your Bilbo going. All right, 90 00:05:07,360 --> 00:05:09,960 Speaker 3: So here we go. Oh a neighborhood in Philly. There 91 00:05:09,960 --> 00:05:12,080 Speaker 3: you go. I was off, but Philly, there you go. 92 00:05:12,680 --> 00:05:17,000 Speaker 1: All right, So Belmont again represents the college educated, white 93 00:05:17,400 --> 00:05:20,840 Speaker 1: upper I shouldn't have said white, but college educated upper 94 00:05:20,920 --> 00:05:25,160 Speaker 1: middle class. Fishtown represents the white working class. 95 00:05:25,360 --> 00:05:28,479 Speaker 4: Actually, what's interesting is he did this whole thing only 96 00:05:28,560 --> 00:05:29,960 Speaker 4: white to keep race out of it. 97 00:05:30,480 --> 00:05:32,360 Speaker 3: I love it all of the research, so it was right. 98 00:05:32,480 --> 00:05:36,440 Speaker 1: Belmont represents the college educated, white upper middle class. Fishtown 99 00:05:36,520 --> 00:05:42,120 Speaker 1: represents the white working class. Real data, fictitious cities. Okay, 100 00:05:42,400 --> 00:05:45,679 Speaker 1: here's what Murray shows using actual data. In nineteen sixty, 101 00:05:46,640 --> 00:05:50,159 Speaker 1: in both Belmont and Fishtown, about eighty five to ninety 102 00:05:50,160 --> 00:05:53,359 Speaker 1: percent of adults ages thirty to forty nine were married. 103 00:05:54,360 --> 00:05:57,400 Speaker 1: They look almost the same. Fast forward to twenty ten. 104 00:05:57,720 --> 00:06:03,719 Speaker 1: In Belmont still married, in Fishtown under fifty nearly cut 105 00:06:03,720 --> 00:06:08,920 Speaker 1: in a half. Same country, different outcomes. Now let's look 106 00:06:08,960 --> 00:06:13,159 Speaker 1: at children born outside marriage among working class white women. 107 00:06:13,920 --> 00:06:17,560 Speaker 1: Non marital birth rates rose from about six percent in 108 00:06:17,640 --> 00:06:24,320 Speaker 1: nineteen sixty to over forty in twenty ten. And remember 109 00:06:25,040 --> 00:06:30,239 Speaker 1: this is white working class and white upper middle class. 110 00:06:30,720 --> 00:06:36,120 Speaker 1: That's not a minor shift. That's uh yeah, it's structural change. 111 00:06:36,600 --> 00:06:40,640 Speaker 1: So let's talk work. By late two thousands, in fish 112 00:06:40,680 --> 00:06:45,159 Speaker 1: Town type communities, about one in five prime age men 113 00:06:45,360 --> 00:06:49,320 Speaker 1: thirty to forty nine were not working, not temporary, unemployed, 114 00:06:49,920 --> 00:06:53,880 Speaker 1: not looking between jobs, just not working at all. And 115 00:06:53,960 --> 00:07:00,360 Speaker 1: Belmont workforce attachment remained high. Same country different habits. Look 116 00:07:00,360 --> 00:07:04,039 Speaker 1: at church and civic life, Murray shows that in Belmont, 117 00:07:04,200 --> 00:07:10,880 Speaker 1: church attendants declined modestly, civic engagement remained actively stable. In Fishtown, 118 00:07:11,440 --> 00:07:16,120 Speaker 1: church attenists dropped sharply, civic participation fil dramatically, and as 119 00:07:16,120 --> 00:07:21,880 Speaker 1: a result, social trust declined. And remember this isn't Murray's opinion, 120 00:07:22,320 --> 00:07:25,720 Speaker 1: this is fifty years of trend lines. So here is 121 00:07:25,760 --> 00:07:31,400 Speaker 1: the uncomfortable conclusion. The upper middle class largely kept their 122 00:07:31,440 --> 00:07:38,560 Speaker 1: behaviors that produced stability, marriage, work, religious participation, and civic involvement. Meanwhile, 123 00:07:39,080 --> 00:07:43,200 Speaker 1: working class communities lost those habits at much higher rates. 124 00:07:44,120 --> 00:07:47,960 Speaker 1: And here's another deep problem that Murray identifies. It wasn't 125 00:07:48,040 --> 00:07:52,400 Speaker 1: just these habits diverged. It's that Belmont and Fishtown increasingly 126 00:07:52,520 --> 00:07:57,120 Speaker 1: stopped living near each other. Highly educated Americans became clustering 127 00:07:57,160 --> 00:08:02,840 Speaker 1: together geographically. Working class Americans the same marriage became more 128 00:08:03,440 --> 00:08:07,520 Speaker 1: a sort of People were marrying within their educational class 129 00:08:07,560 --> 00:08:12,080 Speaker 1: at much higher rates. Churches became stratified, schools became stratified. 130 00:08:12,160 --> 00:08:17,160 Speaker 1: Neighborhoods stratified different zip codes, different schools, different churches, different 131 00:08:17,200 --> 00:08:22,200 Speaker 1: social circles. No shared life, no modeling. Culture does not 132 00:08:22,280 --> 00:08:26,880 Speaker 1: transfer through speeches. It transfers through proximity. You learn how 133 00:08:26,920 --> 00:08:29,520 Speaker 1: to stay marriage by seeing marriages up close that work. 134 00:08:30,040 --> 00:08:32,160 Speaker 1: You learn how to work by watching men and women 135 00:08:32,480 --> 00:08:35,080 Speaker 1: go to work. You learn how to serve by watching 136 00:08:35,120 --> 00:08:41,600 Speaker 1: people serve. What then proximity disappears. A country doesn't just disagree, 137 00:08:41,800 --> 00:08:46,120 Speaker 1: it comes apart. Now here's where the Army steps in. 138 00:08:46,800 --> 00:08:50,960 Speaker 1: We are not here to shame fish Town, and probably 139 00:08:51,000 --> 00:08:54,840 Speaker 1: more importantly, we're not here to idolize Belmont. We're here 140 00:08:54,880 --> 00:08:59,840 Speaker 1: to rebuild shared habits. When Army members start local service club, 141 00:09:00,280 --> 00:09:06,400 Speaker 1: we're not passing legislation. We're rebuilding social muscle, memory, showing up, 142 00:09:06,800 --> 00:09:11,840 Speaker 1: serving together, eating together, working together. A giving circle teaches, 143 00:09:12,040 --> 00:09:18,760 Speaker 1: everyone contributes, everyone votes, everyone's voice matters. Army activations teach 144 00:09:18,960 --> 00:09:26,120 Speaker 1: work is normal, responsibility is normal, Helping is normal. It's 145 00:09:26,160 --> 00:09:31,920 Speaker 1: what normal people do. Pot lucks say, you still belong here. 146 00:09:32,240 --> 00:09:36,040 Speaker 1: All of us, Belmont and Fishtown became different Americas. But 147 00:09:36,120 --> 00:09:39,320 Speaker 1: a local service club that's where they can overlap again. 148 00:09:40,000 --> 00:09:44,280 Speaker 1: That's where proximity comes back. That's where habits get passed down. 149 00:09:45,040 --> 00:09:48,400 Speaker 1: That's how a country that came apart starts coming back together. 150 00:09:49,640 --> 00:09:55,280 Speaker 1: That's good stuff, And I think I'm going to say 151 00:09:55,280 --> 00:10:01,040 Speaker 1: it one more time to emphasize this. Many times we 152 00:10:01,080 --> 00:10:08,480 Speaker 1: think of rule and or suburban life and inner city 153 00:10:08,600 --> 00:10:15,439 Speaker 1: life as just two different worlds, and oftentimes we relate 154 00:10:16,520 --> 00:10:19,800 Speaker 1: urban and inner city life to black and brown culture, 155 00:10:20,360 --> 00:10:25,760 Speaker 1: and rule and suburban life to a wider culture. Well, 156 00:10:26,520 --> 00:10:37,640 Speaker 1: these data destroy, absolutely break the glass surrounding that inaccurative narrative. 157 00:10:37,800 --> 00:10:42,240 Speaker 1: Because all of this data is about white working and 158 00:10:42,400 --> 00:10:48,240 Speaker 1: white upper middle class. It ignores race. And that is 159 00:10:48,280 --> 00:10:54,280 Speaker 1: so healthy to understand that we have this predisposition to 160 00:10:54,360 --> 00:10:57,880 Speaker 1: think so much of what's going on is a racial issue, 161 00:10:57,920 --> 00:11:01,480 Speaker 1: and it's not. It's a socio economic and social issue 162 00:11:01,520 --> 00:11:08,760 Speaker 1: regardless of skin color. It's a very uniquely American issue, 163 00:11:09,200 --> 00:11:13,559 Speaker 1: and we oftentimes when discussing these type of things like 164 00:11:13,679 --> 00:11:18,440 Speaker 1: to throw race in the mix, and this obliterates that narrative. 165 00:11:18,559 --> 00:11:19,800 Speaker 1: I think it's really important. 166 00:11:20,040 --> 00:11:23,080 Speaker 4: And he wrote this book probably fifteen twenty years ago, 167 00:11:23,800 --> 00:11:25,880 Speaker 4: so maybe things have gotten worse or at least other 168 00:11:25,960 --> 00:11:28,800 Speaker 4: dynamics of like the loneliness epidemic. 169 00:11:28,240 --> 00:11:30,720 Speaker 1: And I would think it definitely gotten worse, Yeah, because 170 00:11:30,720 --> 00:11:33,400 Speaker 1: we've gotten more polarized. And I mean what I mean 171 00:11:33,440 --> 00:11:36,760 Speaker 1: by that is the demographics that stay married and stay 172 00:11:36,880 --> 00:11:44,240 Speaker 1: educated have continued to migrate toward one another, where a 173 00:11:44,640 --> 00:11:48,559 Speaker 1: lot of the dysfunction in our society continues to migrate 174 00:11:48,600 --> 00:11:51,439 Speaker 1: toward it. Because it was interesting. What he said is 175 00:11:51,480 --> 00:11:56,680 Speaker 1: so true if you think about it. When upper middle 176 00:11:56,720 --> 00:12:02,320 Speaker 1: and upper class people date and marry, it further concentrates 177 00:12:02,440 --> 00:12:08,480 Speaker 1: that world into its subset. And when people in more 178 00:12:08,480 --> 00:12:13,800 Speaker 1: difficult sub circumstances continue to date and have children and 179 00:12:13,840 --> 00:12:19,800 Speaker 1: do whatever it is they do it for their populates 180 00:12:19,840 --> 00:12:21,120 Speaker 1: them into their own area. 181 00:12:21,400 --> 00:12:24,400 Speaker 4: He actually reflects on the book about his personal experience, 182 00:12:24,400 --> 00:12:26,760 Speaker 4: like he grew up in a manufacturing town in Iowa, 183 00:12:27,280 --> 00:12:29,200 Speaker 4: and it would be like the CEO would be living 184 00:12:29,240 --> 00:12:31,000 Speaker 4: in the same neighborhood as one of the workers, and 185 00:12:31,040 --> 00:12:33,439 Speaker 4: they drive similar cars, and their kids would getting married. 186 00:12:33,440 --> 00:12:35,680 Speaker 4: But now the CEOSK goes to Princeton and marries another 187 00:12:35,760 --> 00:12:36,520 Speaker 4: kid from Princeton. 188 00:12:36,960 --> 00:12:38,200 Speaker 3: It's exactly it. 189 00:12:38,880 --> 00:12:42,880 Speaker 1: Yeah, just for everybody know, I live seven miles from 190 00:12:42,920 --> 00:12:46,040 Speaker 1: my plant dead in the middle of Memphis. Just throw 191 00:12:46,080 --> 00:12:49,440 Speaker 1: that out there. So that also like a complete hypocrite 192 00:12:49,440 --> 00:12:52,319 Speaker 1: here I do. I don't live in the suburbs. We 193 00:12:54,000 --> 00:12:56,240 Speaker 1: thought that was not what we wanted for our kids, 194 00:12:56,280 --> 00:12:57,840 Speaker 1: we wanted their experience to be different. 195 00:12:57,880 --> 00:12:58,480 Speaker 3: On that point. 196 00:12:58,720 --> 00:13:00,560 Speaker 4: And this is probably the stupidest side, but there's an 197 00:13:00,559 --> 00:13:03,560 Speaker 4: affluent guy in Memphis who spent some time in Oxford. 198 00:13:03,559 --> 00:13:05,120 Speaker 3: I was talking him about our service. 199 00:13:04,760 --> 00:13:08,040 Speaker 4: Clubs and he's like, where's your kickoff? And I'm like, 200 00:13:08,080 --> 00:13:10,280 Speaker 4: I told him his grind city and he's like, I don't. 201 00:13:10,320 --> 00:13:15,960 Speaker 4: I don't go downtown. See that's what I'm saying. And 202 00:13:15,960 --> 00:13:17,800 Speaker 4: this guy's a Christian. I'm like, God doesn't want you 203 00:13:17,880 --> 00:13:19,400 Speaker 4: limited fear. What the heck are you doing? 204 00:13:19,440 --> 00:13:19,680 Speaker 3: Man? 205 00:13:20,200 --> 00:13:25,040 Speaker 4: Well year old anyway, you're like seventy five, Who cares 206 00:13:25,080 --> 00:13:29,720 Speaker 4: if you go? Now, come on, let's a little salty today. 207 00:13:29,720 --> 00:13:31,959 Speaker 4: It must be the breakup. I'm always salty, you know that. 208 00:13:32,240 --> 00:13:36,920 Speaker 4: So here it is guys from Actually one of his 209 00:13:37,000 --> 00:13:40,200 Speaker 4: interesting points, so you pull it up, is I hope 210 00:13:40,200 --> 00:13:40,599 Speaker 4: I say this? 211 00:13:40,720 --> 00:13:41,000 Speaker 3: Well? 212 00:13:41,760 --> 00:13:45,160 Speaker 4: One of his conclusions is Belmont or like the upper 213 00:13:45,160 --> 00:13:49,520 Speaker 4: class now is afraid of preaching their values to the 214 00:13:49,559 --> 00:13:52,520 Speaker 4: rest of America. So they don't want to say, like, hey, 215 00:13:52,559 --> 00:13:57,560 Speaker 4: go get married to get an education, because yes, but 216 00:13:57,600 --> 00:14:00,760 Speaker 4: it's like, if you actually cared about people, WI, you 217 00:14:00,800 --> 00:14:04,080 Speaker 4: won't share this with people. Tu You're just like keeping 218 00:14:04,120 --> 00:14:06,400 Speaker 4: it to yourselves and your kids, like that's not actually 219 00:14:06,400 --> 00:14:07,360 Speaker 4: caring for other people. 220 00:14:07,880 --> 00:14:14,120 Speaker 1: Very interesting, Coming apart, something we're trying to keep from 221 00:14:14,480 --> 00:14:17,679 Speaker 1: happening with an army of normal folks, with our with 222 00:14:17,720 --> 00:14:22,240 Speaker 1: our work, with our story, with our storytelling, and now 223 00:14:22,280 --> 00:14:27,680 Speaker 1: with our service clubs. Highly suggest you pick up a 224 00:14:27,720 --> 00:14:32,040 Speaker 1: copy of Coming Apart and check all our data and 225 00:14:32,160 --> 00:14:35,880 Speaker 1: let your mind run wild with what's actually happened around 226 00:14:35,960 --> 00:14:41,320 Speaker 1: us and how easy the answers are. Join the service clubs, share, 227 00:14:41,960 --> 00:14:47,560 Speaker 1: serve together, eat together, work together, join the giving circle, contribute, vote, 228 00:14:47,840 --> 00:14:52,520 Speaker 1: make sure your voice matters, and understand that work is normal, 229 00:14:52,560 --> 00:14:55,080 Speaker 1: responsibility is normal, Hoping is normal. 230 00:14:55,160 --> 00:14:56,400 Speaker 3: And the more. 231 00:14:56,200 --> 00:15:01,440 Speaker 1: We normalize the things that we're trying to talk about here, 232 00:15:01,520 --> 00:15:05,280 Speaker 1: the better off our siety is. So that's it. Shop 233 00:15:05,280 --> 00:15:09,400 Speaker 1: Talk numbers ninety six. Coming Apart, How Belmont Fishtown became 234 00:15:09,440 --> 00:15:12,520 Speaker 1: two different communities, and what an army of normal folks 235 00:15:12,600 --> 00:15:15,520 Speaker 1: is trying to do through its work with service clubs 236 00:15:15,520 --> 00:15:20,200 Speaker 1: and all the other stuff we're doing to stop this 237 00:15:20,360 --> 00:15:22,920 Speaker 1: degregation of our siety and to make life better for 238 00:15:22,960 --> 00:15:23,400 Speaker 1: all of us. 239 00:15:23,760 --> 00:15:26,680 Speaker 3: Anything else else, that's it. Let's roll baby, all right? 240 00:15:27,040 --> 00:15:29,479 Speaker 1: Thanks for joining the shop If you enjoyed this episode, 241 00:15:29,520 --> 00:15:31,800 Speaker 1: please share it with friends and on social rate and 242 00:15:31,800 --> 00:15:36,760 Speaker 1: review it. Join the Army at normalfolks dot us, subscribe 243 00:15:36,760 --> 00:15:42,160 Speaker 1: to the podcast. Join a social club service club in 244 00:15:42,200 --> 00:15:45,520 Speaker 1: one of the cities we've got and you know, with 245 00:15:45,760 --> 00:15:48,320 Speaker 1: the kids, phone the neighbors, tell them about us. All right, 246 00:15:48,400 --> 00:15:51,080 Speaker 1: that's it, Shop Talk number ninety six. We'll see you 247 00:15:51,080 --> 00:15:52,480 Speaker 1: next week.