1 00:00:00,080 --> 00:00:09,920 Speaker 1: M now vastation. He's watched the gap if you actually 2 00:00:09,960 --> 00:00:19,360 Speaker 1: the drink, How does it feel to be walking? It's nice, 3 00:00:19,920 --> 00:00:25,279 Speaker 1: it's nice, it's exciting. I love being here. Well, you 4 00:00:25,320 --> 00:00:29,160 Speaker 1: can just smell the power in the hallways, can't you, 5 00:00:29,680 --> 00:00:34,200 Speaker 1: or the lack thereof. But the question is is Washington 6 00:00:34,280 --> 00:00:37,040 Speaker 1: more like deep or House of cards? It's a little 7 00:00:37,080 --> 00:00:44,360 Speaker 1: of each Ryan fishing, manipulation, calculation that's on veep right, 8 00:00:44,479 --> 00:00:50,640 Speaker 1: and then a lot of um. What's the word, Brian? 9 00:00:50,720 --> 00:00:54,800 Speaker 1: When you really suck up to someone, you just think 10 00:00:54,800 --> 00:00:58,600 Speaker 1: of the best words, Katie. A lot of sick of 11 00:00:58,720 --> 00:01:05,360 Speaker 1: fans or sick of fancy. Have you guys ever been 12 00:01:05,400 --> 00:01:09,080 Speaker 1: to the Capitol? I mean you see all these politicians 13 00:01:09,120 --> 00:01:13,640 Speaker 1: on TV giving speeches, kissing babies, eating a lot of 14 00:01:13,800 --> 00:01:17,560 Speaker 1: unhealthy junk at State Bears. But there's a place where 15 00:01:17,560 --> 00:01:22,840 Speaker 1: our representatives are actually doing their work office buildings in Washington, 16 00:01:22,920 --> 00:01:26,280 Speaker 1: d C. That you can walk right into. Well after 17 00:01:26,319 --> 00:01:28,959 Speaker 1: the metal detector, that is, you can get a snack 18 00:01:29,000 --> 00:01:33,640 Speaker 1: in the cafeteria, peek backstage and see how our government 19 00:01:33,880 --> 00:01:40,640 Speaker 1: really works. You want to just describe where we are. Yeah, 20 00:01:40,840 --> 00:01:42,800 Speaker 1: it feels a little like Old Home Week for me. 21 00:01:42,840 --> 00:01:45,120 Speaker 1: Because here we are in the heart Senate office building. 22 00:01:45,200 --> 00:01:47,600 Speaker 1: When I lived in Washington, I covered a lot of 23 00:01:47,600 --> 00:01:49,680 Speaker 1: stories here and uh, I have to say it's a 24 00:01:49,680 --> 00:01:55,040 Speaker 1: beautiful building. It is. It was very famous for cost overruns, 25 00:01:55,120 --> 00:01:58,520 Speaker 1: for a huge delay and its construction. It costs more 26 00:01:58,560 --> 00:02:02,920 Speaker 1: than three million dollars to build. How do you know that? 27 00:02:03,200 --> 00:02:06,360 Speaker 1: A little research beforehand, and this is named after Gary Hart, 28 00:02:06,440 --> 00:02:12,079 Speaker 1: No Phil Hart, longtime senator from Michigan. I was wondering 29 00:02:12,080 --> 00:02:14,520 Speaker 1: that my friend and co host Frank Goldsmith and I 30 00:02:14,600 --> 00:02:17,280 Speaker 1: recently traveled here to the heart of the Capitol to 31 00:02:17,400 --> 00:02:20,560 Speaker 1: talk with Senator Al Franken. Now, most of the time 32 00:02:20,600 --> 00:02:23,280 Speaker 1: on the show, we talked to our guests in the studio, 33 00:02:23,600 --> 00:02:26,440 Speaker 1: but this time we went on a little field trip. Yeah, 34 00:02:26,480 --> 00:02:29,400 Speaker 1: you did make my mom signed that permission slip. That's right, 35 00:02:29,800 --> 00:02:32,320 Speaker 1: And we should let you know that we were there 36 00:02:32,360 --> 00:02:35,560 Speaker 1: at a pretty important moment, just a couple of weeks 37 00:02:35,600 --> 00:02:40,000 Speaker 1: before the Democratic Convention, a few days before the Republican Convention. 38 00:02:40,120 --> 00:02:43,919 Speaker 1: That's right. Bernie Sanders had just endorsed Hillary right, and 39 00:02:44,040 --> 00:02:47,040 Speaker 1: it was the week right after the tragic shootings in Baton, 40 00:02:47,120 --> 00:02:50,800 Speaker 1: Rouge St. Paul and Dallas that had captured all of 41 00:02:50,800 --> 00:02:54,560 Speaker 1: our attention. People immediately came up to talk to you. 42 00:02:54,800 --> 00:03:00,959 Speaker 1: How are you nice to see you? Yahi Texas. We're 43 00:03:00,960 --> 00:03:10,440 Speaker 1: in Texas and four praying a lot awful, awful, I 44 00:03:10,480 --> 00:03:14,639 Speaker 1: mean obviously lived close by, seriously and like we weren't 45 00:03:14,680 --> 00:03:17,200 Speaker 1: going out anywhere, Like I wasn't going to leave the house. 46 00:03:17,200 --> 00:03:20,320 Speaker 1: I got two kids and his son, and it's just 47 00:03:21,280 --> 00:03:25,680 Speaker 1: a sense of hate. I mean it's the only words 48 00:03:25,720 --> 00:03:28,720 Speaker 1: like it's awful. It's just you can and feel safe 49 00:03:28,720 --> 00:03:30,560 Speaker 1: to walk out of your house because some dumass is 50 00:03:30,600 --> 00:03:34,280 Speaker 1: gonna shoot somebody, you know, like it's it's awful, just 51 00:03:34,320 --> 00:03:37,480 Speaker 1: going on our knees, praying, praying for old officers that 52 00:03:37,520 --> 00:03:41,960 Speaker 1: we know what senseless, senseless murders. How do you feel 53 00:03:41,960 --> 00:03:45,600 Speaker 1: about the African American men who were who were shot 54 00:03:45,760 --> 00:03:50,720 Speaker 1: as well earlier in the week. Honestly, I feel like 55 00:03:52,280 --> 00:03:56,160 Speaker 1: I feel like we cannot socuss on a specific race 56 00:03:56,240 --> 00:04:00,200 Speaker 1: because it's happening everywhere. White, black, kissman. I mean, there 57 00:04:00,240 --> 00:04:06,320 Speaker 1: are murders everywhere. As a nation, everybody's life matters no 58 00:04:06,440 --> 00:04:10,720 Speaker 1: less than anybody else's, no more than anybody else's. So 59 00:04:11,360 --> 00:04:14,520 Speaker 1: it infuriates me that anybody has died that anybody has 60 00:04:14,560 --> 00:04:17,159 Speaker 1: been singled out, that anybody feels like their life is 61 00:04:17,160 --> 00:04:20,800 Speaker 1: more important than anybody else's, because it's not. We're all equal, 62 00:04:21,080 --> 00:04:26,719 Speaker 1: And until everybody starts to believe that this hate will continue. 63 00:04:27,040 --> 00:04:30,320 Speaker 1: It felt like everybody was a little fragile on the 64 00:04:30,400 --> 00:04:33,400 Speaker 1: day we went to Washington, and people had a lot 65 00:04:33,440 --> 00:04:36,440 Speaker 1: on their minds and some really important things to talk about. 66 00:04:36,800 --> 00:04:39,919 Speaker 1: As a mom, my first thing is to protect my child. 67 00:04:41,160 --> 00:04:44,880 Speaker 1: So I teach him to be respectful no matter what. 68 00:04:45,560 --> 00:04:48,240 Speaker 1: Um that's just not about it that I want to 69 00:04:48,240 --> 00:04:49,760 Speaker 1: have to fight. And I don't want him to have 70 00:04:49,800 --> 00:04:52,599 Speaker 1: to fight. So if they say sit down, you sit 71 00:04:52,760 --> 00:04:56,320 Speaker 1: if they say you know. And it's hard as a 72 00:04:56,920 --> 00:05:01,040 Speaker 1: woman to teach him that because I don't want him 73 00:05:01,080 --> 00:05:04,000 Speaker 1: to feel like he's being demeaned or he's left in 74 00:05:04,880 --> 00:05:09,000 Speaker 1: But I don't want to have to identify my child 75 00:05:09,000 --> 00:05:13,440 Speaker 1: one day, as you know, in the morgue. So I 76 00:05:13,760 --> 00:05:16,280 Speaker 1: teach him you say, yes, sir, you, I don't care 77 00:05:16,320 --> 00:05:17,960 Speaker 1: if you didn't do what you just do what they 78 00:05:18,000 --> 00:05:23,440 Speaker 1: tell you to do, because it's a matter of that. 79 00:05:23,600 --> 00:05:26,120 Speaker 1: That's not about it that I want to fight. What 80 00:05:26,160 --> 00:05:29,120 Speaker 1: do you think hat needs to happen to to improve 81 00:05:29,200 --> 00:05:32,039 Speaker 1: this situation, because it seems like the country is such 82 00:05:32,040 --> 00:05:35,839 Speaker 1: a tender box right now, and no one wants to 83 00:05:35,880 --> 00:05:40,560 Speaker 1: see police officer slain. That was such a tragedy, But 84 00:05:40,760 --> 00:05:46,320 Speaker 1: no one wants to see people of color being mistreated 85 00:05:46,360 --> 00:05:49,520 Speaker 1: by the police. And what do you think needs to 86 00:05:49,600 --> 00:05:53,920 Speaker 1: happen to make the situation less combustible? If you will, 87 00:05:54,400 --> 00:05:56,679 Speaker 1: I think it goes back to that saying seek first 88 00:05:56,720 --> 00:06:00,160 Speaker 1: to understand them, to be understood. It is about all 89 00:06:00,200 --> 00:06:04,040 Speaker 1: lives matter. But you have to remember that black people 90 00:06:04,400 --> 00:06:07,800 Speaker 1: as a community have been the less than group for 91 00:06:07,839 --> 00:06:10,320 Speaker 1: two I mean, we've been fighting and so at some 92 00:06:10,360 --> 00:06:13,320 Speaker 1: point you just get tired. Now is it appropriate to 93 00:06:13,920 --> 00:06:18,960 Speaker 1: retaliate and slaughter officers just because you're mad and frustrated. No, 94 00:06:19,120 --> 00:06:22,040 Speaker 1: So that sets us back for what we're fighting force, 95 00:06:22,160 --> 00:06:26,080 Speaker 1: none of us against them police brutality is the issue 96 00:06:26,600 --> 00:06:30,360 Speaker 1: is not the police. It's not white Americans, it's not 97 00:06:30,720 --> 00:06:34,840 Speaker 1: black people. It's we want to be treated the same 98 00:06:34,920 --> 00:06:38,320 Speaker 1: way as another person who stopped for our traffic stop. 99 00:06:38,360 --> 00:06:40,880 Speaker 1: If my son is out and he gets stopped by 100 00:06:40,920 --> 00:06:44,200 Speaker 1: the police, I shouldn't be in fear and in tears 101 00:06:44,240 --> 00:06:46,400 Speaker 1: about what's going on with my son if he's not 102 00:06:46,480 --> 00:06:50,159 Speaker 1: at home. Do you you agree with that? I learned something 103 00:06:50,240 --> 00:06:53,039 Speaker 1: and I hadn't even left the lobby. This is the 104 00:06:53,120 --> 00:06:55,560 Speaker 1: kind of energy I think you get in this building 105 00:06:56,440 --> 00:07:02,440 Speaker 1: so much Washington, I really appreciate. One of the perks 106 00:07:02,480 --> 00:07:05,520 Speaker 1: of my job as a journalist is that everyday people 107 00:07:05,560 --> 00:07:09,120 Speaker 1: come up to me like this and share their personal thoughts. 108 00:07:09,720 --> 00:07:12,600 Speaker 1: Another perk is that I get to have serious face 109 00:07:12,680 --> 00:07:15,840 Speaker 1: time with the people who said policy and make the 110 00:07:15,920 --> 00:07:19,520 Speaker 1: laws that affect our lives. Are we going up? Sorry? 111 00:07:19,600 --> 00:07:21,600 Speaker 1: Don't kill us? And you hate when people do that. 112 00:07:22,000 --> 00:07:24,720 Speaker 1: I always want to close it like clothes, clothes, clothes. 113 00:07:27,160 --> 00:07:30,000 Speaker 1: I know not everyone gets this kind of access. I'm 114 00:07:30,040 --> 00:07:34,000 Speaker 1: really lucky. I done, and I want to share it 115 00:07:34,040 --> 00:07:42,160 Speaker 1: with you. Nice. Oh yeah, Marge Gunderson, Hey you bet shot. 116 00:07:42,480 --> 00:07:48,240 Speaker 1: How you guys doing. Nice to see you. Thank you. 117 00:07:48,240 --> 00:07:52,000 Speaker 1: No Minnesota treats. What are Minnesota treats? So we used 118 00:07:52,040 --> 00:07:56,800 Speaker 1: to have post it? Oh yeah, I know, really delicious, 119 00:07:56,840 --> 00:08:02,160 Speaker 1: lots of fiber. I really like the sticky part. Yeah, hey, 120 00:08:02,200 --> 00:08:05,400 Speaker 1: how are you? Nice to see you? Senator are you? 121 00:08:06,360 --> 00:08:09,920 Speaker 1: That's Al Franken. He's a senator from Minnesota. But that 122 00:08:09,960 --> 00:08:14,520 Speaker 1: may not be why you know his name Because I'm 123 00:08:14,520 --> 00:08:19,800 Speaker 1: good enough, I'm smart enough, and dog on it. People 124 00:08:19,880 --> 00:08:24,240 Speaker 1: like me. He went from comedy to political talk radio 125 00:08:24,440 --> 00:08:28,760 Speaker 1: broadcasting live from Minneapolis, Minnesota. The Al Franken Show is 126 00:08:29,000 --> 00:08:32,880 Speaker 1: on the air to the Senate everybody. But he nearly 127 00:08:32,920 --> 00:08:36,000 Speaker 1: didn't make it there. He squeaked in in two thousand 128 00:08:36,040 --> 00:08:39,000 Speaker 1: eight by just three hundred and twelve votes. And I 129 00:08:39,000 --> 00:08:41,560 Speaker 1: am so excited to finally be able to get to 130 00:08:41,559 --> 00:08:45,480 Speaker 1: work for the people of Minnesota. But now in his 131 00:08:45,559 --> 00:08:48,280 Speaker 1: second term, Senator Al Franken is one of the people 132 00:08:48,400 --> 00:08:51,320 Speaker 1: shaping the world we live in. So I asked him, 133 00:08:51,360 --> 00:08:54,880 Speaker 1: after seven years, are you still jazzed about coming into 134 00:08:54,920 --> 00:09:00,559 Speaker 1: this office we're sitting in. No, not my own office. 135 00:09:01,760 --> 00:09:03,920 Speaker 1: But but if I when I look at the Capitol, 136 00:09:04,120 --> 00:09:06,679 Speaker 1: I do when I get over there the Capitol, I 137 00:09:07,160 --> 00:09:10,200 Speaker 1: get I go on, holy mackerel, I do that a lot. 138 00:09:10,880 --> 00:09:13,560 Speaker 1: We saw go my own office. You know it's my office. 139 00:09:13,600 --> 00:09:16,760 Speaker 1: I mean, quite lovely, I should say. One of the 140 00:09:16,800 --> 00:09:21,520 Speaker 1: things we noticed is to photos of Senator Paul Wellstone 141 00:09:21,640 --> 00:09:24,319 Speaker 1: of Minnesota, who died in two thousand two in a 142 00:09:24,360 --> 00:09:28,880 Speaker 1: plane crash eleven days before the election, and ironically he 143 00:09:28,920 --> 00:09:32,400 Speaker 1: went to my high school, Senator Wellstone in Arlington, Virginia, 144 00:09:33,320 --> 00:09:37,400 Speaker 1: and I know he is and continues to be one 145 00:09:37,400 --> 00:09:41,080 Speaker 1: of your role models. Sure why, Well, he was a 146 00:09:41,080 --> 00:09:46,040 Speaker 1: special guy. He was a passionate guy. He um cared 147 00:09:46,080 --> 00:09:49,719 Speaker 1: about the little guy that was. And he said some 148 00:09:49,800 --> 00:09:55,920 Speaker 1: things that are mantras or uh. He said, uh, we 149 00:09:56,000 --> 00:10:00,360 Speaker 1: all do better when we all do better, and uh 150 00:10:01,040 --> 00:10:05,199 Speaker 1: Minnesotan's Minnesota dfl ER's that's the Democratic Farmer Labor Party. 151 00:10:05,240 --> 00:10:09,640 Speaker 1: We say that all the time. But it's interesting when 152 00:10:09,640 --> 00:10:14,840 Speaker 1: I say that around the country, especially to Democrats, they 153 00:10:14,880 --> 00:10:18,960 Speaker 1: think about how simple and profound that is, because we 154 00:10:19,040 --> 00:10:21,000 Speaker 1: do we do all do better when we all do better. 155 00:10:21,080 --> 00:10:25,240 Speaker 1: Where I grew up middle class. You know, I was 156 00:10:25,280 --> 00:10:31,360 Speaker 1: born in UH. I grew up in in Singalis Park, 157 00:10:31,440 --> 00:10:35,720 Speaker 1: Minnesota entering suburb. We had two bedroom, one bath house. 158 00:10:36,400 --> 00:10:39,200 Speaker 1: My dad didn't graduate high school, mom didn't graduate college. 159 00:10:39,600 --> 00:10:41,400 Speaker 1: I thought I was the luckiest kid in the world 160 00:10:41,440 --> 00:10:43,720 Speaker 1: because I was because I was growing up middle class 161 00:10:44,240 --> 00:10:47,679 Speaker 1: in St. Louis Park in Minnesota, in America, and I 162 00:10:47,720 --> 00:10:50,160 Speaker 1: felt like I could do anything I wanted and I 163 00:10:50,280 --> 00:10:53,920 Speaker 1: and it's because the middle class everything was expanding them. 164 00:10:54,000 --> 00:10:58,760 Speaker 1: The middle class was expanding, and I do believe that 165 00:10:59,400 --> 00:11:04,640 Speaker 1: we grow the economy from the middle. And what we've seen, uh, 166 00:11:04,800 --> 00:11:09,719 Speaker 1: in the last thirty forty years has been this tendency 167 00:11:09,760 --> 00:11:12,880 Speaker 1: to grow things at the top and hollow out the 168 00:11:12,920 --> 00:11:16,120 Speaker 1: middle class. And I think that's why people are so 169 00:11:16,200 --> 00:11:20,200 Speaker 1: so angry the middle class. The bottom seems to have 170 00:11:20,280 --> 00:11:23,839 Speaker 1: fallen out. Robert Reich did a whole documentary just Bryan 171 00:11:23,920 --> 00:11:26,319 Speaker 1: and I were talking about it called Inequality for All 172 00:11:26,760 --> 00:11:30,480 Speaker 1: and basically saying liddle class is what fuels the entire 173 00:11:30,520 --> 00:11:34,079 Speaker 1: economy because that those are where the consumers are, right, 174 00:11:34,440 --> 00:11:36,720 Speaker 1: of course. I mean, if if the middle class is 175 00:11:36,760 --> 00:11:41,040 Speaker 1: buying stuff, the economy works, and if the middle class 176 00:11:41,080 --> 00:11:45,040 Speaker 1: is hollowed out, if you're really, really, really really rich, 177 00:11:45,720 --> 00:11:51,000 Speaker 1: you can buy only so much stuff, you know, I 178 00:11:51,040 --> 00:11:53,360 Speaker 1: mean that there is a limit to how much you 179 00:11:53,400 --> 00:11:58,280 Speaker 1: can buy, I guess. I mean, but the real economy 180 00:11:58,800 --> 00:12:01,680 Speaker 1: is fueled by those in the middle. Do you think 181 00:12:01,800 --> 00:12:04,760 Speaker 1: the fact that the middle class is struggling so much 182 00:12:04,800 --> 00:12:07,720 Speaker 1: and the bottom has fallen out is one of the 183 00:12:07,760 --> 00:12:13,080 Speaker 1: reasons we're seeing this upswing populism during this Yeah, well, 184 00:12:13,120 --> 00:12:19,160 Speaker 1: I think there's been a lot of anger, especially uh, 185 00:12:19,200 --> 00:12:21,960 Speaker 1: you know, There was an interesting statistic that came out 186 00:12:22,080 --> 00:12:27,839 Speaker 1: or finding by some Princeton economists or something a few 187 00:12:27,920 --> 00:12:34,199 Speaker 1: months ago that we're seeing life expectancy drop for white 188 00:12:34,240 --> 00:12:41,599 Speaker 1: people and a lot of it was suicide and opioids 189 00:12:41,720 --> 00:12:45,600 Speaker 1: and that kind of thing, and it hadn't dropped for 190 00:12:46,679 --> 00:12:52,080 Speaker 1: Latinos or blacks, and I think it was it's partly 191 00:12:52,240 --> 00:12:59,040 Speaker 1: in that white working class middle class who have expected 192 00:12:59,080 --> 00:13:02,600 Speaker 1: things to get better and not seen it happen. I 193 00:13:02,640 --> 00:13:05,520 Speaker 1: think that that maybe in a sad way, that black 194 00:13:05,559 --> 00:13:09,560 Speaker 1: and Latinos or don't expect things necessarily. Isn't part of 195 00:13:09,600 --> 00:13:13,480 Speaker 1: your inheritance that things automatically get better and then you'll 196 00:13:13,480 --> 00:13:17,679 Speaker 1: be better off than your than your parents, or more importantly, 197 00:13:17,679 --> 00:13:20,120 Speaker 1: that your kids will be better off than you. And 198 00:13:20,160 --> 00:13:25,520 Speaker 1: I think there's real a feeling of betrayal there. You know, 199 00:13:25,600 --> 00:13:29,000 Speaker 1: you saw Bernie and you saw Trump, and I think 200 00:13:29,840 --> 00:13:33,840 Speaker 1: Bernie's analysis is well, first of all, it's an analysis, 201 00:13:35,000 --> 00:13:40,079 Speaker 1: and Trump's is whatever it is, So I think Bernie 202 00:13:40,200 --> 00:13:43,199 Speaker 1: was closer to the truth. But the fact is, this 203 00:13:43,320 --> 00:13:52,400 Speaker 1: is globalization, automation, unions under assault. Rice talks about that 204 00:13:52,720 --> 00:13:56,120 Speaker 1: definitely in that in his book and and in his 205 00:13:56,240 --> 00:14:01,760 Speaker 1: documentary all these things are contributing too. You know, there 206 00:14:01,800 --> 00:14:04,920 Speaker 1: aren't a lot of jobs where you get a really 207 00:14:05,000 --> 00:14:07,640 Speaker 1: good living and work for forty years at the same 208 00:14:07,720 --> 00:14:11,440 Speaker 1: job anymore. And the traditional political answer, at least for 209 00:14:11,440 --> 00:14:14,080 Speaker 1: the last couple of decades, has been, oh, well, we 210 00:14:14,160 --> 00:14:17,600 Speaker 1: can't reverse globalization, so we need to train workers for 211 00:14:17,640 --> 00:14:22,640 Speaker 1: the jobs of the future. Is that enough? Is that sufficient? 212 00:14:22,800 --> 00:14:26,240 Speaker 1: And if it isn't, what else should be done? Well, 213 00:14:26,280 --> 00:14:29,960 Speaker 1: first of all, it's that's a really good idea. We 214 00:14:29,960 --> 00:14:34,040 Speaker 1: we do need to train people for those jobs. And 215 00:14:34,080 --> 00:14:37,240 Speaker 1: this is something I believe in workforce training. I believe 216 00:14:38,360 --> 00:14:41,080 Speaker 1: that you don't have to go to a four year college, 217 00:14:41,600 --> 00:14:43,880 Speaker 1: that you can go to community and technical college and 218 00:14:43,920 --> 00:14:49,520 Speaker 1: get credentials and start working in some advanced manufacturing UM 219 00:14:50,360 --> 00:14:54,680 Speaker 1: facility and with a company and continue to get your 220 00:14:54,800 --> 00:14:58,920 Speaker 1: education get paid for by your employer. I've seen this 221 00:14:59,000 --> 00:15:02,680 Speaker 1: a lot, and I've seen at Minnesota a lot. And 222 00:15:02,800 --> 00:15:05,680 Speaker 1: I remember, right I took office a little late, because 223 00:15:05,680 --> 00:15:09,840 Speaker 1: you might remember his close election, And right after I 224 00:15:09,880 --> 00:15:12,960 Speaker 1: got into office the first recess, I went back to 225 00:15:12,960 --> 00:15:16,040 Speaker 1: Minnesota and I was in Alexandria, Minnesota, which is an 226 00:15:16,760 --> 00:15:23,000 Speaker 1: UH served central western north central western Minnesota and in 227 00:15:23,120 --> 00:15:26,400 Speaker 1: Douglas County, the county seat of Douglas County, unemployment was 228 00:15:27,040 --> 00:15:29,200 Speaker 1: about two and a half points lower than in the 229 00:15:29,240 --> 00:15:30,960 Speaker 1: rest of the state. And part of the reason was 230 00:15:31,000 --> 00:15:32,960 Speaker 1: they had a great community and technical college, one of 231 00:15:32,960 --> 00:15:37,040 Speaker 1: the highest ranked in the country. And they have a 232 00:15:37,040 --> 00:15:42,160 Speaker 1: food packaging industry there. There's the Silicon Valley of food packaging. 233 00:15:42,280 --> 00:15:44,360 Speaker 1: Someone had to figure out how to get potato chips 234 00:15:45,040 --> 00:15:48,680 Speaker 1: into a bag without breaking them, and they figured that out, 235 00:15:49,160 --> 00:15:53,240 Speaker 1: and they have a number of companies, manufacturers, advanced manufacturers 236 00:15:53,240 --> 00:15:57,200 Speaker 1: to do that, and they had the high school. During 237 00:15:57,240 --> 00:16:01,600 Speaker 1: the summer, kids would take industrial arts, had an industrial 238 00:16:01,680 --> 00:16:06,000 Speaker 1: arts camp. So and I said, this is working here. 239 00:16:06,640 --> 00:16:09,720 Speaker 1: These kids have these there are these adults now have 240 00:16:09,800 --> 00:16:12,560 Speaker 1: these advanced skills, and there's a ladder where you can 241 00:16:12,600 --> 00:16:16,000 Speaker 1: move up. So that isn't the whole answer, but it's 242 00:16:16,280 --> 00:16:19,720 Speaker 1: part of the answer. Is like anything, it's silver buckshot, 243 00:16:19,760 --> 00:16:23,520 Speaker 1: not a silver bullet. It's one thing to train young people, right, 244 00:16:23,720 --> 00:16:28,800 Speaker 1: but what about these middle aged workers who are suddenly 245 00:16:28,840 --> 00:16:35,320 Speaker 1: finding themselves without a job. And that's a real issue. 246 00:16:35,880 --> 00:16:38,400 Speaker 1: You're right, the fifty year old guy who got you 247 00:16:38,680 --> 00:16:43,240 Speaker 1: hit uh. We had a summit at the White House 248 00:16:43,840 --> 00:16:46,640 Speaker 1: sort of on rehiring people have been unemployed for a while, 249 00:16:47,200 --> 00:16:49,760 Speaker 1: and I went back to Minnesota do roundtables on it. 250 00:16:50,280 --> 00:16:54,120 Speaker 1: So many of these people were in their fifties because 251 00:16:55,760 --> 00:16:58,600 Speaker 1: people don't want to hire necessarily people in their fifties, 252 00:16:59,640 --> 00:17:03,680 Speaker 1: and much harder job market for them. So you're absolutely right. 253 00:17:03,720 --> 00:17:08,640 Speaker 1: There are people that got hit by the Great Recession 254 00:17:08,720 --> 00:17:11,480 Speaker 1: right at the wrong moment in their careers, and a 255 00:17:11,520 --> 00:17:14,080 Speaker 1: lot of these people that were still unemployee. We're doing 256 00:17:15,040 --> 00:17:16,960 Speaker 1: certain kinds of training, but a lot of them were 257 00:17:17,920 --> 00:17:21,400 Speaker 1: really employable, I mean, really had a great experience, and 258 00:17:21,880 --> 00:17:25,040 Speaker 1: you'd go, oh, my goodness, you should, you should, I'd 259 00:17:25,119 --> 00:17:28,439 Speaker 1: hire you. I wasn't hiring at the time. Some of 260 00:17:28,480 --> 00:17:34,520 Speaker 1: their manufacturing firms were moved to China, moved to other 261 00:17:34,600 --> 00:17:39,000 Speaker 1: countries and in Mexico and Mexico. Yeah, well, this is 262 00:17:39,000 --> 00:17:43,040 Speaker 1: the trade issue, and this is why Trump tapped into 263 00:17:43,119 --> 00:17:50,320 Speaker 1: something that was very against sort of conservative Republican um 264 00:17:50,600 --> 00:17:53,720 Speaker 1: uh philosophy. If I were a fifty year old guy 265 00:17:53,800 --> 00:17:57,360 Speaker 1: and my company moved overseas and I was left high 266 00:17:57,400 --> 00:18:00,600 Speaker 1: and dry, I'd be pretty piste off too. Well, there 267 00:18:00,680 --> 00:18:03,440 Speaker 1: there are I know a lot of those people, and uh, 268 00:18:04,200 --> 00:18:09,040 Speaker 1: you know in Minnesota we're we're recovering. But I gotta 269 00:18:09,080 --> 00:18:13,600 Speaker 1: tell you that, you know, I'm against TPB, and I'm 270 00:18:13,640 --> 00:18:17,400 Speaker 1: against it for a reason. I don't think they um 271 00:18:17,520 --> 00:18:21,600 Speaker 1: the labor provisions in it or right, I don't think um. 272 00:18:21,840 --> 00:18:27,280 Speaker 1: The currency manipulation has been taken care of. But people 273 00:18:27,359 --> 00:18:31,480 Speaker 1: are very emotional about this subject. It's really a conundrum, 274 00:18:31,520 --> 00:18:34,160 Speaker 1: isn't it. How do you become part of the global 275 00:18:34,240 --> 00:18:37,840 Speaker 1: economy and yet protect your own There in lies the 276 00:18:37,920 --> 00:18:42,400 Speaker 1: rub right, Well, yeah, and it's about enforcing. It's about 277 00:18:42,440 --> 00:18:45,919 Speaker 1: writing good agreements and enforcing them. It strikes me that 278 00:18:46,000 --> 00:18:49,080 Speaker 1: you have to know so much center, Frank and about 279 00:18:49,160 --> 00:18:53,880 Speaker 1: so many issues in your job. Do you ever get overwhelmed? 280 00:18:53,920 --> 00:19:01,399 Speaker 1: And did you? Never? Never? Now that never happened because 281 00:19:01,440 --> 00:19:04,720 Speaker 1: I stay on top of everything. You always wanted to 282 00:19:04,760 --> 00:19:08,159 Speaker 1: be a politician. You ran for president of your seventh 283 00:19:08,160 --> 00:19:11,480 Speaker 1: grade class with a very unique campaign slogan. Do you 284 00:19:11,520 --> 00:19:16,840 Speaker 1: remember what it was? Don't spit in a man's faceless 285 00:19:16,840 --> 00:19:20,960 Speaker 1: his mustaches on fire, that's right, dinging? And I lost, no, 286 00:19:23,080 --> 00:19:27,320 Speaker 1: no waittment, no no, no, I won. I won that. 287 00:19:27,400 --> 00:19:31,280 Speaker 1: Then I lost eighth grade, and then I ran for 288 00:19:31,400 --> 00:19:34,280 Speaker 1: vice president a ninth and I got that. My sister 289 00:19:34,440 --> 00:19:38,120 Speaker 1: ran for president of our elementary school and my mom 290 00:19:38,160 --> 00:19:42,000 Speaker 1: put up a campaign poster above the water fountain and 291 00:19:42,040 --> 00:19:47,520 Speaker 1: it said free water courtesy Emily Current. All nice, clever 292 00:19:47,840 --> 00:19:51,040 Speaker 1: she did. Well there you go. YEA good slogan really helps. 293 00:19:51,520 --> 00:19:54,520 Speaker 1: I remember I felt very bitter because I lost. I 294 00:19:54,880 --> 00:19:58,600 Speaker 1: got us a mixer. That was my big achievement. I 295 00:19:58,680 --> 00:20:01,920 Speaker 1: got a mixer muzzle. Yeah, thank you, And it was 296 00:20:02,400 --> 00:20:04,880 Speaker 1: the Beatles were very big. This was when the Beatles 297 00:20:04,960 --> 00:20:09,160 Speaker 1: were big. And the theme of the mixer was peace 298 00:20:09,200 --> 00:20:12,520 Speaker 1: peas me and it was the value of the Jolly 299 00:20:12,520 --> 00:20:16,760 Speaker 1: Green Giant, which is in Minnesota. It was. It was 300 00:20:16,800 --> 00:20:22,000 Speaker 1: a very successful mixer, and yet I was not re elected. 301 00:20:23,000 --> 00:20:26,600 Speaker 1: You are fairly new to the Senate, and I'm wondering 302 00:20:26,680 --> 00:20:35,040 Speaker 1: if if you know, well relatively I mean some and 303 00:20:35,640 --> 00:20:39,520 Speaker 1: I'm just curious, what did you think you're getting yourself into? 304 00:20:39,640 --> 00:20:45,560 Speaker 1: And are you disillusioned? Um? Well, uh, you know, I 305 00:20:45,600 --> 00:20:47,520 Speaker 1: wish I could remember what I thought it was going 306 00:20:47,560 --> 00:20:50,199 Speaker 1: to be, because then I could tell you whether I'm disappointed. 307 00:20:50,320 --> 00:20:56,840 Speaker 1: But I really enjoy this. I get things done. Paul 308 00:20:56,880 --> 00:21:01,400 Speaker 1: Wellston said politics is not about winning. It's about improving 309 00:21:01,400 --> 00:21:07,479 Speaker 1: people's lives, and that's what I tried to do in 310 00:21:07,560 --> 00:21:10,640 Speaker 1: so many different ways, and I've been successful in many 311 00:21:10,680 --> 00:21:13,520 Speaker 1: of them, and then others. It's incredibly frustrating. Of course, 312 00:21:13,800 --> 00:21:18,480 Speaker 1: it's very frustrating. What's the most frustrating thing right now? 313 00:21:18,560 --> 00:21:21,080 Speaker 1: I don't know what we're doing to address that. I 314 00:21:21,200 --> 00:21:26,760 Speaker 1: just haven't heard name any real attempt to address just 315 00:21:26,840 --> 00:21:30,760 Speaker 1: what's happened this last week in terms of I mean, 316 00:21:30,840 --> 00:21:40,200 Speaker 1: we know that people of color get profiled, and we 317 00:21:40,560 --> 00:21:46,480 Speaker 1: know there's something we need to do about this, and 318 00:21:46,680 --> 00:21:52,880 Speaker 1: I don't feel like we're I've heard us addressing it here. 319 00:21:53,520 --> 00:21:58,520 Speaker 1: Let's talk about the police shootings that we've seen witnessed 320 00:21:58,520 --> 00:22:02,359 Speaker 1: in this I guess you could describe fourth of July 321 00:22:02,440 --> 00:22:05,240 Speaker 1: week in America is a very different kind of hell week. 322 00:22:05,800 --> 00:22:09,720 Speaker 1: Two shootings FIR Saint Baton Rouge and then in St. Paul, 323 00:22:10,160 --> 00:22:14,440 Speaker 1: and then the shootings of those police officers in Dallas. 324 00:22:15,200 --> 00:22:17,800 Speaker 1: Is Capitol Hill really the right place to come up 325 00:22:17,840 --> 00:22:22,320 Speaker 1: with a solution for this or should police departments across 326 00:22:22,359 --> 00:22:28,520 Speaker 1: the country start really acknowledging there's an issue here? I think, 327 00:22:28,600 --> 00:22:32,120 Speaker 1: you know, ironically, I think Dallas is a police department 328 00:22:32,160 --> 00:22:34,280 Speaker 1: that did do that. It's true, but we need to 329 00:22:34,400 --> 00:22:38,360 Speaker 1: address this. And it's a national problem that doesn't get 330 00:22:38,400 --> 00:22:42,000 Speaker 1: fixed by something some one piece of legislation or a 331 00:22:42,080 --> 00:22:44,959 Speaker 1: number of piece of legislation gets fixed one community at 332 00:22:44,960 --> 00:22:49,639 Speaker 1: a time. And Falando Castile was your constituent. There was 333 00:22:49,680 --> 00:22:51,359 Speaker 1: an a p story that came out a couple of 334 00:22:51,440 --> 00:22:54,280 Speaker 1: days ago that he was stopped at least fifty two 335 00:22:54,320 --> 00:22:58,000 Speaker 1: times by police before he was shot. What can be 336 00:22:58,000 --> 00:23:03,479 Speaker 1: done about that sort of thing? Well, uh, we we 337 00:23:03,600 --> 00:23:06,359 Speaker 1: we one. We have to. I think we have to 338 00:23:06,359 --> 00:23:11,359 Speaker 1: have police the composition of police forces reflect the composition 339 00:23:11,400 --> 00:23:13,760 Speaker 1: of the communities that they serve. I think that would 340 00:23:13,800 --> 00:23:17,399 Speaker 1: be very helpful. You know, it's interesting to me that 341 00:23:18,119 --> 00:23:22,920 Speaker 1: the Black Lives Matter movement makes some people so angry. 342 00:23:24,440 --> 00:23:28,479 Speaker 1: And I was interviewing somebody when I walked into the 343 00:23:28,480 --> 00:23:32,240 Speaker 1: building before we sat down from Fort Worth, and she 344 00:23:32,359 --> 00:23:35,000 Speaker 1: was saying, you know, all lives matter, it shouldn't just 345 00:23:35,080 --> 00:23:38,680 Speaker 1: be one group. I don't think that person is quite 346 00:23:38,800 --> 00:23:42,960 Speaker 1: understanding the context. I mean, And and but you hear 347 00:23:43,040 --> 00:23:45,000 Speaker 1: that time and time again, you know, but what it 348 00:23:45,080 --> 00:23:49,240 Speaker 1: means is is that black what black lives matters is 349 00:23:49,280 --> 00:23:55,800 Speaker 1: saying like this is happening, It's happened, It's historically happened. 350 00:23:55,800 --> 00:23:59,800 Speaker 1: We now have videotape, but this is historically happened, and 351 00:24:00,480 --> 00:24:05,240 Speaker 1: it matters. It's as if black lives don't matter. That's 352 00:24:05,240 --> 00:24:08,439 Speaker 1: what they were. I know I'm not explained, yes, but 353 00:24:08,440 --> 00:24:11,760 Speaker 1: I'm trying to explain to the listener here, But how 354 00:24:11,800 --> 00:24:17,480 Speaker 1: do how do we keep and white Americans from being alienated? 355 00:24:17,640 --> 00:24:21,080 Speaker 1: But former Mayor Juliani said the other day on whatever 356 00:24:21,160 --> 00:24:26,800 Speaker 1: show he was on, fascination about you know, black Lives 357 00:24:27,080 --> 00:24:31,120 Speaker 1: Matter is a racist? Is inherently racist? He's not. He's 358 00:24:31,119 --> 00:24:34,360 Speaker 1: either deliberately not getting it or isn't paying much attention. 359 00:24:36,560 --> 00:24:38,880 Speaker 1: We'll be right back to our conversation with Al Franken 360 00:24:39,200 --> 00:24:54,760 Speaker 1: after a quick break. Let's get back into our conversation 361 00:24:54,800 --> 00:25:01,400 Speaker 1: without Franken. So we're sitting here in your center office. UM, 362 00:25:01,480 --> 00:25:03,960 Speaker 1: why don't we kind of go back to before you 363 00:25:04,320 --> 00:25:07,960 Speaker 1: enter this profession, and UM cover some of the years 364 00:25:08,000 --> 00:25:12,879 Speaker 1: between that failed eighth grade class president campaign and the 365 00:25:12,960 --> 00:25:19,119 Speaker 1: successful Senate one. Hum I stopped running after that for 366 00:25:19,160 --> 00:25:22,040 Speaker 1: about forty years, But you got bit by the political 367 00:25:22,080 --> 00:25:26,679 Speaker 1: bug very early. You were I think always engaged in 368 00:25:26,720 --> 00:25:31,040 Speaker 1: these issues. How did that start? Start with my parents? 369 00:25:32,000 --> 00:25:36,240 Speaker 1: As I think it probably usually does. Uh, we ate 370 00:25:36,280 --> 00:25:42,640 Speaker 1: dinner on trade tables watching the news. So we watched 371 00:25:43,000 --> 00:25:46,080 Speaker 1: either Cronkite or Huntley Brinkley, and my mom was been 372 00:25:46,160 --> 00:25:49,080 Speaker 1: good night Chet for that. I used to say that 373 00:25:49,160 --> 00:25:51,560 Speaker 1: to my mom and dad before I went to bed 374 00:25:51,600 --> 00:25:55,280 Speaker 1: at night. Ideal goodnight David, and ideal goodnight Chet. Well, 375 00:25:55,320 --> 00:26:00,000 Speaker 1: maybe that's why you went into what you went into. Um. 376 00:26:00,240 --> 00:26:02,280 Speaker 1: By the way, these were not TV dinners. My mom 377 00:26:02,320 --> 00:26:03,840 Speaker 1: was a really good cook. So I just want to 378 00:26:03,840 --> 00:26:05,639 Speaker 1: make sure because people have gotten the idea that we 379 00:26:05,800 --> 00:26:08,000 Speaker 1: ate TV dinners on these trade tables. No, no, this 380 00:26:08,080 --> 00:26:14,760 Speaker 1: is we always had a fresh vegetable and a protein anyway, 381 00:26:14,800 --> 00:26:18,840 Speaker 1: So we would watch. When I was eleven ten eleven, 382 00:26:18,840 --> 00:26:22,119 Speaker 1: twelve years old, watched civil rights demonstrations in the South, 383 00:26:22,920 --> 00:26:28,120 Speaker 1: and when the sheriffs would put fire hoses or dogs 384 00:26:28,240 --> 00:26:30,880 Speaker 1: or billy clubs on the demonstrators, my dad would point 385 00:26:30,920 --> 00:26:33,000 Speaker 1: to the TV and say, no jew can be for that, 386 00:26:34,760 --> 00:26:37,399 Speaker 1: No jew can be for that. My dad grew up 387 00:26:37,400 --> 00:26:39,800 Speaker 1: in New York and he also inhaled a pipe for 388 00:26:39,880 --> 00:26:43,480 Speaker 1: fifty years. He sounded like that, no Jew can be 389 00:26:43,560 --> 00:26:47,600 Speaker 1: for that, and um, I knew, we knew exactly what 390 00:26:47,640 --> 00:26:51,040 Speaker 1: he meant because we as I said, I think I 391 00:26:51,080 --> 00:26:56,000 Speaker 1: said in fifty one, the Holocaust was pounded into our heads. 392 00:26:56,119 --> 00:26:59,520 Speaker 1: And this is my dad had been a Republican, he 393 00:26:59,600 --> 00:27:04,960 Speaker 1: was like Jacob Javitt's Republican. And um he became a 394 00:27:05,000 --> 00:27:09,520 Speaker 1: Democrat that year because Barry Goldwater in six four anyway, 395 00:27:09,720 --> 00:27:13,960 Speaker 1: and I didn't never look back. So so that was it. 396 00:27:13,960 --> 00:27:17,879 Speaker 1: It was basic, the basic It's the same damn issue. 397 00:27:17,960 --> 00:27:20,040 Speaker 1: If you think about it, do you think that something's 398 00:27:20,080 --> 00:27:22,800 Speaker 1: been lost in our country? You know, you describe this 399 00:27:23,359 --> 00:27:26,480 Speaker 1: almost idyllic scene where you're watching the evening news with 400 00:27:26,560 --> 00:27:31,160 Speaker 1: your family, talking about things, learning about the world. That's 401 00:27:31,200 --> 00:27:34,920 Speaker 1: really not done so much anymore because of the changing 402 00:27:35,480 --> 00:27:41,280 Speaker 1: landscape of more. Um, well, there's that. There's we all 403 00:27:41,320 --> 00:27:45,639 Speaker 1: don't have only three networks to watch and listen to, 404 00:27:46,560 --> 00:27:48,840 Speaker 1: and so we don't have that shared experience. And then 405 00:27:48,960 --> 00:27:52,440 Speaker 1: what what you have is, you know, the sorting out 406 00:27:52,480 --> 00:27:56,240 Speaker 1: of America where people tend to live with people who 407 00:27:56,280 --> 00:27:59,320 Speaker 1: have the same political views that they do watch the 408 00:27:59,400 --> 00:28:04,360 Speaker 1: people who Foxes and some much MSNBC and so much CNN, 409 00:28:05,320 --> 00:28:08,480 Speaker 1: UM and some listen to MPR and some listen to 410 00:28:08,600 --> 00:28:11,200 Speaker 1: Russia Limball. What was the title of your book about 411 00:28:11,240 --> 00:28:13,880 Speaker 1: Russia Limball? It was called Russia Lima was a big, 412 00:28:13,880 --> 00:28:19,080 Speaker 1: fat Idiot and other observations, And the intent was to 413 00:28:19,200 --> 00:28:22,879 Speaker 1: talk about the loss of civility in our discourse. It 414 00:28:22,920 --> 00:28:26,960 Speaker 1: was really if if you read the book, that's what 415 00:28:27,040 --> 00:28:30,480 Speaker 1: it was about. And it was ironic and a lot 416 00:28:30,520 --> 00:28:34,919 Speaker 1: of what I did in comedy and still do and 417 00:28:34,960 --> 00:28:40,760 Speaker 1: my every is irony. And during my uh first race, 418 00:28:41,640 --> 00:28:45,520 Speaker 1: a lot of that was a lot of my humor 419 00:28:45,560 --> 00:28:49,840 Speaker 1: went through the de humorizer. What's the what's the demizer? 420 00:28:49,960 --> 00:28:54,120 Speaker 1: It was a fifteen million dollar machine that my opponent 421 00:28:54,200 --> 00:29:00,560 Speaker 1: put together using uh, some Soviet era technology that stripped humor. 422 00:29:01,320 --> 00:29:03,760 Speaker 1: There was that there was a Playboy article, as I recall, 423 00:29:03,840 --> 00:29:08,240 Speaker 1: that got some attention that titled porn Orama and it 424 00:29:08,360 --> 00:29:12,160 Speaker 1: was about there's a reason for what I wrote an 425 00:29:12,320 --> 00:29:17,480 Speaker 1: article for Playboy for their millennial issue. They had asked 426 00:29:17,480 --> 00:29:21,600 Speaker 1: William Buckley, he wrote for it, and Isaac asim Off 427 00:29:21,760 --> 00:29:27,000 Speaker 1: and me and I thought that, Okay, it's a Playboy, 428 00:29:27,360 --> 00:29:32,720 Speaker 1: it's for their millennial issue. Uh, you know, I want 429 00:29:32,760 --> 00:29:35,760 Speaker 1: to do a parody of Playboy, and Playboy would do these, 430 00:29:36,600 --> 00:29:42,480 Speaker 1: um very often doing article do articles on the newest technologies, 431 00:29:43,120 --> 00:29:47,840 Speaker 1: and I figured, since it's Playboy, what would the what's 432 00:29:47,880 --> 00:29:50,560 Speaker 1: this new millennium going to bring in? So it's all 433 00:29:50,600 --> 00:29:55,960 Speaker 1: about kind of virtual sex and things like that, and um, 434 00:29:56,760 --> 00:29:58,720 Speaker 1: if you read the piece, it will prove that I 435 00:29:58,800 --> 00:30:03,240 Speaker 1: was not intending to run for the Senate eight years later. 436 00:30:03,360 --> 00:30:07,800 Speaker 1: I'm gonna have to google that. Sure, go ahead, Let's 437 00:30:07,840 --> 00:30:10,240 Speaker 1: get back to the Senate out You were talking about 438 00:30:10,240 --> 00:30:13,720 Speaker 1: how dysfunctional the Senate is and how you can't often 439 00:30:13,840 --> 00:30:19,640 Speaker 1: is very dysfunctional. What is the root problem of the 440 00:30:19,720 --> 00:30:24,840 Speaker 1: Senate's dysfunction? Well, I think there are a lot of 441 00:30:24,840 --> 00:30:29,040 Speaker 1: things I think that um our politics. And I was 442 00:30:29,120 --> 00:30:31,880 Speaker 1: kind of writing about this in Russian. Limbaugh is a 443 00:30:31,880 --> 00:30:34,040 Speaker 1: big Fettiti and that's why I really was about the 444 00:30:34,160 --> 00:30:36,400 Speaker 1: breakdown in the civility of discourse. And there was a 445 00:30:36,480 --> 00:30:39,640 Speaker 1: chapter on that on Gingrich who had put a list 446 00:30:39,680 --> 00:30:43,800 Speaker 1: of words for Republicans to to use to talk about 447 00:30:43,840 --> 00:30:49,360 Speaker 1: democrats and it was like sick and trader and corrupt 448 00:30:49,520 --> 00:30:51,720 Speaker 1: and me. It's literally a list of words that was 449 00:30:51,760 --> 00:30:54,440 Speaker 1: sent out to Canada saying you can learn to talk 450 00:30:54,520 --> 00:31:00,960 Speaker 1: like newt And there was also a real run against 451 00:31:01,000 --> 00:31:06,600 Speaker 1: Washington and against government and people in government are bad 452 00:31:06,760 --> 00:31:09,880 Speaker 1: and don't live in Washington. To bring your family to Washington, 453 00:31:10,720 --> 00:31:12,960 Speaker 1: and you know, this town, I guess used to be 454 00:31:13,000 --> 00:31:16,400 Speaker 1: a lot different um. You know, you would bring your 455 00:31:16,400 --> 00:31:18,520 Speaker 1: family to Washington, you live here, and you go back 456 00:31:18,600 --> 00:31:20,720 Speaker 1: to your district when you go back to your district, 457 00:31:20,720 --> 00:31:24,640 Speaker 1: but you wouldn't go back. You wouldn't keep your family 458 00:31:25,400 --> 00:31:29,120 Speaker 1: in your district and go back home on weekends and 459 00:31:29,200 --> 00:31:32,240 Speaker 1: not visit them while you go around your district. And 460 00:31:32,320 --> 00:31:36,800 Speaker 1: what that meant was is that your family, your kid 461 00:31:36,960 --> 00:31:42,640 Speaker 1: might play on the same baseball team as another congressman 462 00:31:42,720 --> 00:31:46,120 Speaker 1: from or senator from a different party is his kid, 463 00:31:46,160 --> 00:31:49,720 Speaker 1: and it's hard to not like, you know your your 464 00:31:49,800 --> 00:31:55,160 Speaker 1: kid's teammates. Father and people had more time, and now 465 00:31:55,240 --> 00:31:59,520 Speaker 1: it's so much fundraising and so much rushing back to 466 00:31:59,560 --> 00:32:03,600 Speaker 1: your eight the campaign and that sort of thing. I 467 00:32:03,600 --> 00:32:05,960 Speaker 1: think that's part of it. I think part of it 468 00:32:06,160 --> 00:32:09,640 Speaker 1: is is that when the senator is up for grab, 469 00:32:09,720 --> 00:32:12,160 Speaker 1: as it is this time and as it was last time, 470 00:32:12,880 --> 00:32:16,440 Speaker 1: that there's more jockeying. And I think there was sort 471 00:32:16,480 --> 00:32:21,080 Speaker 1: of a settled um Democratic majority for a big period 472 00:32:21,120 --> 00:32:26,920 Speaker 1: of time. Uh, during the fifties and sixties and seventies 473 00:32:27,560 --> 00:32:31,800 Speaker 1: that uh, you know that, And that's easy for me 474 00:32:31,840 --> 00:32:35,600 Speaker 1: to say they were Democrats in the majority. But there's 475 00:32:35,680 --> 00:32:39,520 Speaker 1: tended to be sort of a Okay, this isn't about 476 00:32:39,600 --> 00:32:43,000 Speaker 1: the next cycle, this isn't about next November. We're going 477 00:32:43,040 --> 00:32:46,680 Speaker 1: to just actually do our job here. But now it's 478 00:32:46,720 --> 00:32:50,960 Speaker 1: all about re election. Steve Israel wrote about that congressman 479 00:32:51,080 --> 00:32:54,720 Speaker 1: from Long Island about how much time has spent fundraising 480 00:32:54,800 --> 00:32:57,440 Speaker 1: and do you guys hang out? Do you hang out 481 00:32:57,440 --> 00:33:00,200 Speaker 1: with other senators? Do you have lunch in this at 482 00:33:00,240 --> 00:33:05,800 Speaker 1: dining hall and eat Senate bean soup with Republicans? I have, 483 00:33:06,880 --> 00:33:09,560 Speaker 1: I don't do it a lot. I hardly every in 484 00:33:09,600 --> 00:33:12,360 Speaker 1: the signate Senate dining room does anybody, Because to me, 485 00:33:12,720 --> 00:33:14,920 Speaker 1: you've got to have a place where people can congregate 486 00:33:14,960 --> 00:33:16,600 Speaker 1: and get to know each other. One of the things 487 00:33:16,600 --> 00:33:19,280 Speaker 1: that we do we have, and I just came from it, 488 00:33:19,360 --> 00:33:23,360 Speaker 1: the Senate Democratic Caucus lunch. So we have lunch on 489 00:33:23,400 --> 00:33:27,960 Speaker 1: Tuesday and Thursdays essentially as a caucus, and the Republicans 490 00:33:27,960 --> 00:33:29,560 Speaker 1: have it three days a week. Why don't you guys 491 00:33:29,560 --> 00:33:33,000 Speaker 1: caucus together? Occasion, well, I have had. I just did 492 00:33:33,000 --> 00:33:36,040 Speaker 1: a bipartisan lunch with Lisa Murkowski. I've been trying to 493 00:33:36,080 --> 00:33:43,000 Speaker 1: promote these bipartisan activities um them. During my first term, I, 494 00:33:43,040 --> 00:33:45,400 Speaker 1: Franny and I would go out regularly with the end 495 00:33:45,440 --> 00:33:50,640 Speaker 1: zs and the Joe Hands Uh Sarah n Zi from Wyoming, 496 00:33:50,760 --> 00:33:54,280 Speaker 1: Sena Johannes is Left from Nebraska and their wives and 497 00:33:55,360 --> 00:33:58,480 Speaker 1: Tom Udall and Jill and me and Frannie would beat 498 00:33:58,480 --> 00:34:02,160 Speaker 1: all have dinner. We right off going to each other's houses. 499 00:34:02,160 --> 00:34:05,840 Speaker 1: And I'd like to start that again. Let's talk about 500 00:34:05,840 --> 00:34:11,160 Speaker 1: the campaign, because it has just been the most insane 501 00:34:11,239 --> 00:34:15,400 Speaker 1: campaign of my lifetime. Certainly I would assume of yours 502 00:34:15,440 --> 00:34:19,920 Speaker 1: as well. I don't know, uh, you know sixty eight 503 00:34:20,120 --> 00:34:24,839 Speaker 1: was tragic obviously, and but yes, I mean I think 504 00:34:24,840 --> 00:34:32,319 Speaker 1: that that the Republican nominee she what's his name, uh 505 00:34:32,920 --> 00:34:39,160 Speaker 1: is uh is of a just of a different um 506 00:34:39,360 --> 00:34:43,600 Speaker 1: quantum lee different than any other nominee we've had in 507 00:34:43,719 --> 00:34:49,240 Speaker 1: terms of they're they're they're part of what I've seen 508 00:34:49,280 --> 00:34:53,120 Speaker 1: over the last few years. I'm kind of a policy 509 00:34:53,440 --> 00:34:56,080 Speaker 1: I mean, I don't think I'm a policy wonk, but 510 00:34:56,360 --> 00:35:00,839 Speaker 1: I do try to get into the areas where we're legislating. 511 00:35:00,880 --> 00:35:03,440 Speaker 1: I like to be a legislator, So in education and 512 00:35:03,480 --> 00:35:06,600 Speaker 1: healthcare in those areas, that's way more way I came 513 00:35:06,600 --> 00:35:11,880 Speaker 1: here than anything. And then in telecommunications, I was against 514 00:35:11,960 --> 00:35:16,360 Speaker 1: the uh Comcast Time Warner deal and that neutrality is 515 00:35:16,400 --> 00:35:18,439 Speaker 1: important to me. But those those are things I care about. 516 00:35:19,280 --> 00:35:23,239 Speaker 1: But I just don't think he thinks about any of 517 00:35:23,239 --> 00:35:26,200 Speaker 1: this stuff at all. I don't think he just he'll 518 00:35:26,239 --> 00:35:29,960 Speaker 1: say I, um, I have a good brain, I know 519 00:35:30,120 --> 00:35:34,120 Speaker 1: more than the general's of Ballet, Syria and the Iraq. 520 00:35:34,640 --> 00:35:38,200 Speaker 1: He'll say that, and it'll be just one of a 521 00:35:38,400 --> 00:35:42,600 Speaker 1: million things he'll say that are just absurd, and yet 522 00:35:43,000 --> 00:35:48,960 Speaker 1: he will be the nominee. How do you explain that? Well, 523 00:35:49,000 --> 00:35:52,359 Speaker 1: I tried to. You know, it's happened so and um, 524 00:35:52,520 --> 00:35:57,480 Speaker 1: observing what's happening, I'm not Uh. I guess he tapped 525 00:35:57,560 --> 00:36:02,360 Speaker 1: into this anger that we were talking came about. And uh, 526 00:36:02,400 --> 00:36:08,120 Speaker 1: he certainly staked out a you know, in any trade, 527 00:36:08,320 --> 00:36:10,640 Speaker 1: which I think is different on his side, and tapped 528 00:36:10,680 --> 00:36:15,200 Speaker 1: into that feeling among those a lot of a lot 529 00:36:15,239 --> 00:36:18,240 Speaker 1: of voters on both sides. Of course. Yeah. I also 530 00:36:18,320 --> 00:36:21,840 Speaker 1: I think he had let some crossover and in many states. 531 00:36:22,640 --> 00:36:26,120 Speaker 1: And I also think that the media contributed to it 532 00:36:26,120 --> 00:36:31,000 Speaker 1: a little bit by having him on constantly. And the 533 00:36:31,040 --> 00:36:35,959 Speaker 1: guy can be funny and can be charming. It's worn 534 00:36:36,040 --> 00:36:41,400 Speaker 1: off a little on me, but um, and fascinating. It 535 00:36:41,480 --> 00:36:46,160 Speaker 1: was kind of fascinating. So I think that, um, a 536 00:36:46,200 --> 00:36:49,360 Speaker 1: lot of America's loves Donald Trump, and a lot of 537 00:36:49,360 --> 00:36:52,280 Speaker 1: America's shaking their hands, that's going like, what's your theory 538 00:36:52,280 --> 00:36:55,520 Speaker 1: on how this happened? Anything? We've talked, and we've talked 539 00:36:55,640 --> 00:36:59,479 Speaker 1: enough about Donald Trump. No, I think we should talk 540 00:36:59,600 --> 00:37:01,839 Speaker 1: only about him for the rest of this A big 541 00:37:01,920 --> 00:37:04,879 Speaker 1: question mark I think about this campaign is whether young 542 00:37:04,960 --> 00:37:09,719 Speaker 1: people who are so enthusiastic about Bernie Sanders are really 543 00:37:09,760 --> 00:37:14,919 Speaker 1: going to come out and vote in November. I think 544 00:37:14,920 --> 00:37:17,359 Speaker 1: they will. I think they will. This is you know, 545 00:37:19,000 --> 00:37:22,680 Speaker 1: I did not see the event with Bernie and Hillary today. 546 00:37:23,239 --> 00:37:27,000 Speaker 1: Lara went well, and I think that's Bernie said he's 547 00:37:27,000 --> 00:37:28,520 Speaker 1: going to do everything in his power to see the 548 00:37:28,560 --> 00:37:30,960 Speaker 1: Trump it doesn't win, and I think that means he's 549 00:37:31,000 --> 00:37:34,520 Speaker 1: going to be stumping for her. I think that that's 550 00:37:34,560 --> 00:37:36,880 Speaker 1: going to help. And I think you know, when you 551 00:37:36,920 --> 00:37:39,440 Speaker 1: look at the issues and you look at something as 552 00:37:39,520 --> 00:37:45,000 Speaker 1: simple as simple, something as important as climate change, and 553 00:37:45,120 --> 00:37:50,880 Speaker 1: millennials know this is a real thing, and there is 554 00:37:51,000 --> 00:37:57,720 Speaker 1: a scientific, overwhelming scientific consensus and the sea levels rising. 555 00:37:57,840 --> 00:38:03,200 Speaker 1: That happens for a reason. Uh, and it is the 556 00:38:03,320 --> 00:38:09,640 Speaker 1: existential issue of her time. And boy, it affects millennials 557 00:38:09,719 --> 00:38:12,719 Speaker 1: more than you know. I mean, I have I have 558 00:38:12,760 --> 00:38:16,520 Speaker 1: grandchildren now, so I'm a senator and I don't want 559 00:38:16,600 --> 00:38:20,880 Speaker 1: my grandson. You know, Joe, I have a three year 560 00:38:20,920 --> 00:38:22,960 Speaker 1: old grandson, and I don't want him fifty years from 561 00:38:22,960 --> 00:38:25,759 Speaker 1: now going, Grandpa, you knew there was climate change. Why 562 00:38:25,760 --> 00:38:28,239 Speaker 1: didn't you do anything about it? And also why are 563 00:38:28,280 --> 00:38:36,000 Speaker 1: you still alive? That's ridiculously, I'll go, Well, because of 564 00:38:36,040 --> 00:38:39,560 Speaker 1: all the scientific developments, well the funding of n I 565 00:38:39,800 --> 00:38:42,440 Speaker 1: h I did instead of on climate change? You and 566 00:38:42,520 --> 00:38:45,440 Speaker 1: Larry King are doing that. What's it called when you 567 00:38:46,000 --> 00:38:49,320 Speaker 1: are frozen? Oh, I'm not doing it. If Flowery is 568 00:38:49,360 --> 00:38:51,279 Speaker 1: doing it, good for him, But I'm not doing it. 569 00:38:51,360 --> 00:38:57,000 Speaker 1: He did it years ago. Actually I got that good. 570 00:38:58,840 --> 00:39:03,680 Speaker 1: So so give us your prediction for the fall. I 571 00:39:04,200 --> 00:39:08,120 Speaker 1: am not a prognosticator. That's not what I do. So 572 00:39:08,200 --> 00:39:11,759 Speaker 1: what I do I thought Cindy Lopera was gonna be 573 00:39:11,760 --> 00:39:16,560 Speaker 1: a lot bigger than Madonna. Do you think Hillary Clinton 574 00:39:16,600 --> 00:39:20,720 Speaker 1: is gonna win? But I don't know what the margin 575 00:39:20,800 --> 00:39:23,760 Speaker 1: is going to be. I don't know. I'm not predicting anything. 576 00:39:23,800 --> 00:39:27,560 Speaker 1: I'm hoping for, you know, I'm hoping for a large win, blowout. 577 00:39:27,600 --> 00:39:31,920 Speaker 1: I'm hoping for that. I'm really I've been working for 578 00:39:33,040 --> 00:39:36,719 Speaker 1: our Democratic Senate candidates, and I want to take back 579 00:39:36,760 --> 00:39:41,640 Speaker 1: the Senate so we can have the agenda here and 580 00:39:41,920 --> 00:39:44,560 Speaker 1: not have to do filibusters to get on a gun 581 00:39:44,640 --> 00:39:51,319 Speaker 1: vote and you know, those kind of things. To last questions, 582 00:39:51,400 --> 00:39:54,920 Speaker 1: I believe of the electorate field that Hillary Clinton is 583 00:39:54,960 --> 00:40:01,880 Speaker 1: not trustworthy. That's a devastating Sorry, how does she fix that? 584 00:40:03,880 --> 00:40:06,680 Speaker 1: I don't know exactly. I can tell you this. I've 585 00:40:06,719 --> 00:40:09,080 Speaker 1: known her for twenty two years, and I find her 586 00:40:10,200 --> 00:40:16,960 Speaker 1: totally trustworthy. I I um. I also, I just know 587 00:40:17,160 --> 00:40:20,440 Speaker 1: her as one of the hardest working, the hardest working 588 00:40:20,480 --> 00:40:25,600 Speaker 1: person I know, uh, someone who is has through their 589 00:40:25,640 --> 00:40:33,560 Speaker 1: career been dedicated to helping children, helping poor people, helping 590 00:40:34,760 --> 00:40:38,960 Speaker 1: uh women. Why don't people trust her? Why don't people 591 00:40:39,000 --> 00:40:41,680 Speaker 1: see that? Well? I think there's been just a ton 592 00:40:41,760 --> 00:40:45,239 Speaker 1: and ton and ton of constant, you know, opposition to 593 00:40:45,280 --> 00:40:49,600 Speaker 1: the Clintons, both her and her husband. I think her husband, 594 00:40:49,600 --> 00:40:53,360 Speaker 1: did you know, unfortunately did something that made people not 595 00:40:53,480 --> 00:40:58,320 Speaker 1: trust him. And I hope she'll have the opportunity to 596 00:40:58,520 --> 00:41:04,680 Speaker 1: be president and and that Americans will learn to trust her. 597 00:41:04,880 --> 00:41:07,000 Speaker 1: Are the ones who don't. Do you think she bears 598 00:41:07,000 --> 00:41:11,160 Speaker 1: any responsibility for that? I think she'll say, you know, 599 00:41:12,280 --> 00:41:15,520 Speaker 1: she she will say, for example, on the email, that 600 00:41:15,640 --> 00:41:19,239 Speaker 1: she made a mistake, and so she does bear some 601 00:41:19,320 --> 00:41:24,040 Speaker 1: responsibility for that. I also think that if you look 602 00:41:24,080 --> 00:41:26,600 Speaker 1: at her responses on these things, I don't think she 603 00:41:26,760 --> 00:41:29,200 Speaker 1: was lying. I think she did not know that she 604 00:41:29,960 --> 00:41:37,560 Speaker 1: sent three classified things because they had partially marked. I 605 00:41:37,600 --> 00:41:41,400 Speaker 1: think that, as usual, there's a battle over this in 606 00:41:41,520 --> 00:41:44,520 Speaker 1: terms of messaging, and they're going to be considered she lied, 607 00:41:44,560 --> 00:41:49,040 Speaker 1: she lied, she lied, and if people know the full story, 608 00:41:49,080 --> 00:41:53,680 Speaker 1: I don't think she didn't. If Paul Wellstone were alive today, Senator, 609 00:41:54,080 --> 00:41:59,520 Speaker 1: what do you think he would make of this whole campaign, 610 00:42:00,920 --> 00:42:06,160 Speaker 1: the players, the rhetoric. Well, I think he'd be out 611 00:42:06,200 --> 00:42:10,759 Speaker 1: there fighting, you know, just like I think I am. 612 00:42:11,760 --> 00:42:15,239 Speaker 1: I don't I don't quite have the There was some 613 00:42:15,920 --> 00:42:20,600 Speaker 1: power that he had and he used to basically the 614 00:42:20,680 --> 00:42:25,000 Speaker 1: last three minutes of his any presentation he gave where 615 00:42:25,080 --> 00:42:29,279 Speaker 1: this real, real energetic tub thumping thing where he'd get 616 00:42:29,280 --> 00:42:33,480 Speaker 1: people on their feet. And the only time I get 617 00:42:33,520 --> 00:42:35,879 Speaker 1: that happen is like if I imitate him doing it, 618 00:42:36,880 --> 00:42:40,400 Speaker 1: I do an impression of him. But I think he 619 00:42:40,440 --> 00:42:44,480 Speaker 1: would be I think he would be amazed and zaddened 620 00:42:44,480 --> 00:42:48,239 Speaker 1: by some of this. Of course, you may not be 621 00:42:48,280 --> 00:42:51,040 Speaker 1: able to compete with Paul Wellstone, but your grandson looked 622 00:42:51,080 --> 00:42:53,080 Speaker 1: pretty in awe of you in a photo we saw 623 00:42:53,160 --> 00:42:56,160 Speaker 1: as we want. I love that photo. It's like my 624 00:42:56,239 --> 00:43:01,440 Speaker 1: favorite photo. What was going on? It was a um 625 00:43:01,280 --> 00:43:05,280 Speaker 1: and my my uh, I got my I was sworn 626 00:43:05,320 --> 00:43:07,799 Speaker 1: in for my second term, and it was just a 627 00:43:07,840 --> 00:43:11,799 Speaker 1: party we had for that, and everybody was there in 628 00:43:11,840 --> 00:43:16,320 Speaker 1: this big hearing room, and he was with his grandma, 629 00:43:16,440 --> 00:43:20,400 Speaker 1: and he just and and and mom and and and 630 00:43:20,480 --> 00:43:24,240 Speaker 1: his dad, and he just walked over to me. And 631 00:43:25,080 --> 00:43:29,480 Speaker 1: it's a beautiful, beautiful photo. For those of you listening, 632 00:43:30,880 --> 00:43:36,839 Speaker 1: I can't it's amazing. He's staring up at you, and 633 00:43:36,880 --> 00:43:39,279 Speaker 1: that's probably, as you said, who you think about when 634 00:43:39,320 --> 00:43:42,799 Speaker 1: you make decisions in this office. And he's older now, 635 00:43:42,840 --> 00:43:47,480 Speaker 1: of course, as we all are, and so now he's three. 636 00:43:48,360 --> 00:43:53,120 Speaker 1: But yeah, being a grandparent is a great, great thing, 637 00:43:53,480 --> 00:43:56,319 Speaker 1: and uh, it does make you think that what we 638 00:43:56,400 --> 00:44:02,359 Speaker 1: do here is important to generations. Be on us. That's 639 00:44:02,360 --> 00:44:05,000 Speaker 1: a nice way to end things. Senator al Frankin, thank 640 00:44:05,040 --> 00:44:14,080 Speaker 1: you for hanging out with us in your office. So 641 00:44:14,200 --> 00:44:16,279 Speaker 1: I really enjoyed that interview. But I'm not sure I 642 00:44:16,320 --> 00:44:20,280 Speaker 1: was surprised by anything he said. I wasn't super surprised, 643 00:44:20,280 --> 00:44:22,440 Speaker 1: but I have to say I was really impressed because 644 00:44:22,440 --> 00:44:27,480 Speaker 1: it reminded me how fluent senators have to be on 645 00:44:27,560 --> 00:44:30,040 Speaker 1: such a myriad of issues, and it made me thank god. 646 00:44:30,360 --> 00:44:32,640 Speaker 1: It's hard to be a senator. And even though he's 647 00:44:32,680 --> 00:44:36,480 Speaker 1: a lot more relaxed and comfortable with the job now 648 00:44:36,520 --> 00:44:39,480 Speaker 1: that he's been reelected and he's not known as landslide 649 00:44:39,480 --> 00:44:43,400 Speaker 1: Al ironically anymore, um, you could still see the weight 650 00:44:43,480 --> 00:44:48,000 Speaker 1: of responsibility on his shoulders. He took the job very seriously. 651 00:44:48,160 --> 00:44:51,839 Speaker 1: Definitely doesn't want to be you know Don Rickles all 652 00:44:51,880 --> 00:44:54,319 Speaker 1: the time. No, no, no, I mean he's clearly a 653 00:44:54,440 --> 00:44:58,960 Speaker 1: highly highly intelligent guy, and I think he believes fiercely 654 00:44:59,400 --> 00:45:02,520 Speaker 1: in the direction he wants to take the country. And 655 00:45:02,680 --> 00:45:05,360 Speaker 1: he talked about Paul Wellstone and talked about being a 656 00:45:05,480 --> 00:45:08,440 Speaker 1: progressive and talking about doing the work. I mean, he 657 00:45:08,560 --> 00:45:11,000 Speaker 1: is a very he's a very funny guy, but he's 658 00:45:11,040 --> 00:45:14,000 Speaker 1: also a very serious guy, and gosh darnette, people do 659 00:45:14,239 --> 00:45:18,880 Speaker 1: like him. So we want to thank Senator Franken and 660 00:45:18,960 --> 00:45:21,200 Speaker 1: his staff for making the interview possible. It was a 661 00:45:21,239 --> 00:45:23,920 Speaker 1: lot of fun and we're gonna do a lot of 662 00:45:23,960 --> 00:45:28,520 Speaker 1: interviews like this. Clearly we want to interview bold face names, 663 00:45:28,560 --> 00:45:30,880 Speaker 1: but also people who just have bold things to say. 664 00:45:31,400 --> 00:45:34,680 Speaker 1: And one of the great things about social media and 665 00:45:34,920 --> 00:45:37,480 Speaker 1: the telephone, quite frankly, is we get to hear from 666 00:45:37,520 --> 00:45:40,440 Speaker 1: you all as well, So we want to know what 667 00:45:40,520 --> 00:45:43,400 Speaker 1: you'd like to discuss, who you'd like us to talk to, 668 00:45:43,920 --> 00:45:46,960 Speaker 1: so you can leave us a message on this line 669 00:45:47,239 --> 00:45:50,800 Speaker 1: nine two to four four six three seven. Brian is standing. 670 00:45:50,800 --> 00:45:55,560 Speaker 1: Body take your calls. I'm just sitting by the phone. 671 00:45:56,040 --> 00:46:01,160 Speaker 1: That number again is four four six three seven. And 672 00:46:01,200 --> 00:46:02,799 Speaker 1: while we're at it, we want to thank the team 673 00:46:02,800 --> 00:46:05,920 Speaker 1: at your Wolf, Chris Bannon, Gretta Cone, the right Reverend 674 00:46:06,160 --> 00:46:09,799 Speaker 1: John Dolor. We want to thank Mark Phillips who composed 675 00:46:09,800 --> 00:46:12,280 Speaker 1: our theme music, which I really love, by the way, 676 00:46:12,360 --> 00:46:16,640 Speaker 1: and one more thing, subscribe, rate and review this podcast 677 00:46:16,680 --> 00:46:19,600 Speaker 1: if you could, because it really helps other listeners find 678 00:46:19,640 --> 00:46:23,480 Speaker 1: the show that does it for us. Brian, this was fun, 679 00:46:23,600 --> 00:46:27,680 Speaker 1: wasn't it, Yes, ma'am. Anyway, thanks for listening and we'll 680 00:46:27,680 --> 00:46:33,680 Speaker 1: see you next time. Yes, we do. Thanks. I took 681 00:46:33,680 --> 00:46:36,520 Speaker 1: a few ashtrays. I hope that's got