1 00:00:03,320 --> 00:00:06,000 Speaker 1: Happy ones. Today, I'm Chuck Todd. Welcome to another episode 2 00:00:06,080 --> 00:00:09,520 Speaker 1: of the Chuck Podcast. Yes, this is our third straight 3 00:00:09,640 --> 00:00:12,360 Speaker 1: day dropping a new episode. I told you it would 4 00:00:12,360 --> 00:00:16,160 Speaker 1: be a four episode week. I've got one more coming tomorrow. 5 00:00:16,440 --> 00:00:19,400 Speaker 1: So take that summer slow down, world. I will downshift 6 00:00:19,400 --> 00:00:21,640 Speaker 1: a bit in July and August, just like the rest 7 00:00:21,640 --> 00:00:24,079 Speaker 1: of the world. We'll still do a couple of week 8 00:00:24,160 --> 00:00:27,120 Speaker 1: but i won't hit you up with four. But if 9 00:00:27,160 --> 00:00:28,640 Speaker 1: you've been tuning in this week, you know I've been 10 00:00:28,640 --> 00:00:31,240 Speaker 1: in what I'm calling documentary dreamland a little bit. We're 11 00:00:31,240 --> 00:00:35,920 Speaker 1: in the heart of a big release period for nonfiction documentaries. 12 00:00:36,200 --> 00:00:40,720 Speaker 1: The DC Docs Film Festival is starting at the end 13 00:00:40,760 --> 00:00:43,400 Speaker 1: of this week. It's become a major launching pad for 14 00:00:43,520 --> 00:00:46,360 Speaker 1: documentaries that are likely going to be in the conversation 15 00:00:47,240 --> 00:00:50,600 Speaker 1: during Oscar season, both short form and feature length. And 16 00:00:50,640 --> 00:00:53,320 Speaker 1: of course, longtime listeners know this has been a passion 17 00:00:53,320 --> 00:00:56,520 Speaker 1: of mine since we started to meet the press Film 18 00:00:56,560 --> 00:01:01,319 Speaker 1: Festival some I guess that was seven or eight years ago, 19 00:01:01,360 --> 00:01:04,520 Speaker 1: now did What d C Docks is doing is even broader, 20 00:01:04,560 --> 00:01:08,600 Speaker 1: more ambitious. Continuation of the idea and the lineup this 21 00:01:08,680 --> 00:01:11,920 Speaker 1: year has been terrific, and that brings me to today's interview. 22 00:01:11,920 --> 00:01:14,880 Speaker 1: I'm talking to the co directors of Prime Minister. That's 23 00:01:14,880 --> 00:01:18,880 Speaker 1: a new documentary about Jacinda Ardern. She's now the former 24 00:01:18,920 --> 00:01:21,520 Speaker 1: Prime Minister of New Zealand. But I will tell you 25 00:01:21,760 --> 00:01:25,800 Speaker 1: it's a fascinating real time political memoir. You don't get 26 00:01:27,160 --> 00:01:29,319 Speaker 1: I guess this is something I guess we can look 27 00:01:29,360 --> 00:01:34,160 Speaker 1: forward to going forward if you have more media friendly 28 00:01:36,560 --> 00:01:41,679 Speaker 1: world leaders are durn kept a personal journal. She allowed 29 00:01:41,800 --> 00:01:45,959 Speaker 1: extensive access from these directors and her look her period, 30 00:01:46,200 --> 00:01:49,040 Speaker 1: her period of leadership. It's a pretty full page. If 31 00:01:49,080 --> 00:01:51,120 Speaker 1: every world leader gets a page in the history books, 32 00:01:51,320 --> 00:01:53,760 Speaker 1: her page is pretty full. She's only a second sitting 33 00:01:53,800 --> 00:01:56,080 Speaker 1: world leader in history to give birth while in office. 34 00:01:56,440 --> 00:01:58,880 Speaker 1: She led the country at COVID happen on her watch. 35 00:02:00,080 --> 00:02:02,840 Speaker 1: That was a big part of the documentary. And she 36 00:02:02,920 --> 00:02:06,040 Speaker 1: also took pretty aggressive action in the wake of a 37 00:02:06,080 --> 00:02:09,440 Speaker 1: mass shooting in New Zealand. That christ Church shooting also 38 00:02:09,480 --> 00:02:13,240 Speaker 1: happened in her watch, and they ended up having a 39 00:02:13,440 --> 00:02:16,160 Speaker 1: passing an assault weapons ban. Of course they don't have 40 00:02:16,400 --> 00:02:20,120 Speaker 1: the Second Amendment, so to say, her time in office 41 00:02:20,280 --> 00:02:23,680 Speaker 1: was jam packed with history shaping events for New Zealand. 42 00:02:23,720 --> 00:02:27,360 Speaker 1: As an understatement. But what really struck me in watching 43 00:02:27,400 --> 00:02:29,959 Speaker 1: Prime Minister, and it's something I get into with the 44 00:02:30,000 --> 00:02:33,240 Speaker 1: directors too, is the COVID part, because I think it 45 00:02:33,280 --> 00:02:35,240 Speaker 1: really has to do with trying to figure out everybody's 46 00:02:35,240 --> 00:02:38,960 Speaker 1: trying to figure out what's what's with today's politics because 47 00:02:38,960 --> 00:02:42,600 Speaker 1: their COVID experience was as myopic as ours was. Right 48 00:02:42,639 --> 00:02:44,520 Speaker 1: here in the United States, we talk about how divisive 49 00:02:44,560 --> 00:02:47,120 Speaker 1: COVID was in the COVID period, but what you see 50 00:02:47,120 --> 00:02:49,639 Speaker 1: in this film is that that was the same sentiment reflected. 51 00:02:50,120 --> 00:02:52,360 Speaker 1: It was reflected frankly across the globe. We know this. 52 00:02:53,560 --> 00:02:55,959 Speaker 1: Ardarn describes the dread and tension that came with every 53 00:02:55,960 --> 00:02:59,960 Speaker 1: decision she made and the intense polarization in New Zealand 54 00:03:00,040 --> 00:03:04,760 Speaker 1: that followed. And they had never experienced that kind of polarization. 55 00:03:04,880 --> 00:03:07,720 Speaker 1: It's an island nation. They almost go out of their 56 00:03:07,760 --> 00:03:10,040 Speaker 1: way to get along. Yes, they have their disagreements, but 57 00:03:10,240 --> 00:03:12,840 Speaker 1: when you live in an island, you have your you 58 00:03:12,880 --> 00:03:19,080 Speaker 1: have limited antagonism when it comes to your disagreements. But 59 00:03:19,200 --> 00:03:21,440 Speaker 1: it was it just sort of, you know, it sort 60 00:03:21,480 --> 00:03:25,720 Speaker 1: of hit you in the head. Every country believes that 61 00:03:25,840 --> 00:03:28,640 Speaker 1: they had a the worst version of COVID politics. I 62 00:03:28,639 --> 00:03:32,000 Speaker 1: have a feeling that their divisions were the deepest in 63 00:03:32,040 --> 00:03:35,600 Speaker 1: there that they could ever remember, that their leaders faced 64 00:03:35,640 --> 00:03:41,160 Speaker 1: some of the toughest choices. Turns out that's pretty common thread, right, 65 00:03:41,200 --> 00:03:45,000 Speaker 1: that the shared frustration, the shared experience, And I'm starting 66 00:03:45,000 --> 00:03:48,040 Speaker 1: to wonder if it really was a trigger something that 67 00:03:48,120 --> 00:03:51,080 Speaker 1: was building before, but like COVID, was the trigger stick 68 00:03:51,120 --> 00:03:56,560 Speaker 1: with me here especially? You know, Democrats are trying to 69 00:03:56,600 --> 00:04:01,920 Speaker 1: figure out how to reconnect with the electorate, and they're 70 00:04:01,920 --> 00:04:04,840 Speaker 1: trying to figure out why does Donald Trump have success 71 00:04:05,000 --> 00:04:08,320 Speaker 1: with this electorate Because he didn't create the movement movement, 72 00:04:08,360 --> 00:04:11,320 Speaker 1: he just saw it building, He branded it, and he 73 00:04:11,400 --> 00:04:15,080 Speaker 1: rode the way. He didn't invent this resentment, he just 74 00:04:15,200 --> 00:04:17,960 Speaker 1: channeled it more effectively than anybody else had going forward. 75 00:04:18,960 --> 00:04:21,120 Speaker 1: And if you listen to my recent conversation with Steve 76 00:04:21,160 --> 00:04:24,960 Speaker 1: Bannon on the newsphere app n OO s p H 77 00:04:25,000 --> 00:04:28,080 Speaker 1: E r E, go check it out, get your free trial. Yes, 78 00:04:28,120 --> 00:04:31,120 Speaker 1: I'm gonna you know, plug plug over ding ding ding, 79 00:04:31,240 --> 00:04:34,080 Speaker 1: but but check it out. It's a way for you 80 00:04:34,120 --> 00:04:36,520 Speaker 1: to hear and see the entire Bannon interview. And I 81 00:04:36,640 --> 00:04:41,520 Speaker 1: encourage that. But we got we really got deep into 82 00:04:41,560 --> 00:04:44,600 Speaker 1: the movement. And obviously he believes this is a global movement, right, 83 00:04:44,680 --> 00:04:48,520 Speaker 1: this isn't about Trump. Trump is just America's leader of 84 00:04:48,560 --> 00:04:50,560 Speaker 1: that movement. And we spent a lot of time in 85 00:04:50,600 --> 00:04:54,279 Speaker 1: the MUCKs dynamic and the tech oligarchy. But the through 86 00:04:54,320 --> 00:04:57,159 Speaker 1: line was this, the modern populist movement, both left and 87 00:04:57,240 --> 00:05:03,479 Speaker 1: right shares one core suspicion. It's a distrust of concentrated power, right, 88 00:05:04,240 --> 00:05:10,560 Speaker 1: whether it's government, concentrated bureaucracy, Corporate America, Wall Street, Silicon Valley. 89 00:05:10,920 --> 00:05:13,400 Speaker 1: In the EU it was Brussels. But that's the rally 90 00:05:13,920 --> 00:05:17,719 Speaker 1: cry right, suspicion of constant what happens when you have 91 00:05:17,760 --> 00:05:20,640 Speaker 1: too much power concentrated in the hands. You know, the 92 00:05:20,680 --> 00:05:23,039 Speaker 1: conservatives don't like it. Conservatives in general don't like it 93 00:05:23,040 --> 00:05:26,360 Speaker 1: when I feel like it's government. I think progressive don't 94 00:05:26,360 --> 00:05:27,720 Speaker 1: like it when they feel like it's Wall Street or 95 00:05:27,720 --> 00:05:33,360 Speaker 1: Corporate America. And COVID, and this is where I think, right, COVID, 96 00:05:33,360 --> 00:05:35,880 Speaker 1: it was sort of here. You already had this movement, right, 97 00:05:36,200 --> 00:05:38,680 Speaker 1: this wave was going and COVID is almost like a 98 00:05:39,320 --> 00:05:42,280 Speaker 1: created you know, stirred things up and created a tsunami, 99 00:05:43,200 --> 00:05:48,479 Speaker 1: and it accelerated this distrust. Public health response responses right 100 00:05:48,520 --> 00:05:53,719 Speaker 1: require centralized authority. But that very coordination, which was essential 101 00:05:53,760 --> 00:05:57,280 Speaker 1: in fighting the virus, essential in getting at vaccines as 102 00:05:57,279 --> 00:06:00,520 Speaker 1: fast as we got them, which is still remarkable, but 103 00:06:00,600 --> 00:06:05,600 Speaker 1: it also became that symbol of overreach, concentration of power, right, 104 00:06:05,960 --> 00:06:09,600 Speaker 1: that tension between collective good and individual autonomy. And it's 105 00:06:09,600 --> 00:06:13,719 Speaker 1: a flashpoint. And now the skepticism is deeply embedded in 106 00:06:13,720 --> 00:06:17,520 Speaker 1: our politics, and it's global in this country. Democrats can't 107 00:06:17,560 --> 00:06:20,440 Speaker 1: afford to ignore it or wish it away by just 108 00:06:20,520 --> 00:06:29,680 Speaker 1: pointing to Trump. In some ways, Trump's questionable ethics, amoral 109 00:06:29,839 --> 00:06:35,960 Speaker 1: character is a distraction and maybe a distraction to the Democrats' 110 00:06:36,000 --> 00:06:40,640 Speaker 1: inability to see what's really happening under the surface. And 111 00:06:40,640 --> 00:06:42,640 Speaker 1: they've got to engage with this. They got to understand it, 112 00:06:42,680 --> 00:06:45,520 Speaker 1: and they got to compete on this terrain. You know, 113 00:06:46,800 --> 00:06:48,800 Speaker 1: there's a day. There was a David Brooks column he 114 00:06:48,880 --> 00:06:51,440 Speaker 1: wrote last week, and I found myself nodding along quite 115 00:06:51,440 --> 00:06:54,200 Speaker 1: a bit. He's been going through this same sort of 116 00:06:54,880 --> 00:06:58,640 Speaker 1: search here what are we missing? Right? And his argument 117 00:06:58,680 --> 00:07:01,599 Speaker 1: is that the Democratic parties problems are structural and that 118 00:07:01,760 --> 00:07:04,400 Speaker 1: tactical fixes and this is something we've talked about a 119 00:07:04,400 --> 00:07:07,120 Speaker 1: lot here, right, Tactical fixes aren't going to cut it, 120 00:07:08,120 --> 00:07:10,800 Speaker 1: and in some ways the closeness of this last election 121 00:07:10,920 --> 00:07:14,560 Speaker 1: might be a distraction to them. You know, the current leadership, 122 00:07:15,280 --> 00:07:17,400 Speaker 1: he argues, may not and the Democratics that may not 123 00:07:17,440 --> 00:07:20,720 Speaker 1: be equipped to hand navigate this moment. Just like as 124 00:07:20,720 --> 00:07:24,520 Speaker 1: it turns out, the Bush Romney wing of the Republican 125 00:07:24,520 --> 00:07:27,680 Speaker 1: Party just didn't have it in them to shift the 126 00:07:27,720 --> 00:07:33,320 Speaker 1: Republican Party where Trump shifted it. And whatever you think 127 00:07:33,360 --> 00:07:36,280 Speaker 1: of it, you may not like the direction, but it 128 00:07:36,360 --> 00:07:38,080 Speaker 1: turned out to be in the best interest of the 129 00:07:38,080 --> 00:07:42,640 Speaker 1: Republican Party, at least in its ability to win elections. Again, 130 00:07:42,720 --> 00:07:46,280 Speaker 1: I'm not gonna i I you know, I think yeah, 131 00:07:46,440 --> 00:07:49,760 Speaker 1: tariffs and I think isolationism. I think these are these 132 00:07:49,800 --> 00:07:53,160 Speaker 1: aren't These aren't going to be good for the United 133 00:07:53,200 --> 00:07:57,600 Speaker 1: States in the long run. But in trying to have 134 00:07:57,640 --> 00:08:00,600 Speaker 1: your party prepared to respond to the moment and what 135 00:08:00,640 --> 00:08:04,960 Speaker 1: the elect and the electorate's frustration, Bush Romney couldn't fit. 136 00:08:05,000 --> 00:08:06,960 Speaker 1: That Bush Romney wing couldn't figure out how to get there, 137 00:08:07,920 --> 00:08:09,960 Speaker 1: and of all people, it turned out to be Donald Trump. 138 00:08:11,200 --> 00:08:14,440 Speaker 1: So Democrats and now they're the outsider party and outsider 139 00:08:14,480 --> 00:08:18,760 Speaker 1: parties have an inherent advantage, right because they too are 140 00:08:18,880 --> 00:08:21,800 Speaker 1: agreeing with the voter in the voter's anger and distrust 141 00:08:22,480 --> 00:08:27,280 Speaker 1: of say, concentrated power in the elites. So look, Democrats 142 00:08:27,320 --> 00:08:28,320 Speaker 1: are going to have to figure out how to become 143 00:08:28,320 --> 00:08:31,520 Speaker 1: the outsider party, a party that fights concentrated power in 144 00:08:31,600 --> 00:08:35,520 Speaker 1: all forms, not just going after Wall Street or Corporate America, 145 00:08:35,559 --> 00:08:40,520 Speaker 1: but also unlocking bureaucracies that seem to frustrate and not 146 00:08:40,679 --> 00:08:44,040 Speaker 1: get things done right. That you see that on the 147 00:08:44,040 --> 00:08:49,760 Speaker 1: city level, where we're arguably government bureaucracies prevent whether it's 148 00:08:49,880 --> 00:08:55,599 Speaker 1: zoning things like this, prevent or slow down progress, the 149 00:08:56,080 --> 00:08:59,480 Speaker 1: very progress that progressives are trying to fight for. On 150 00:08:59,640 --> 00:09:03,080 Speaker 1: the natal level, that's where the entro, that's where the 151 00:09:03,160 --> 00:09:05,800 Speaker 1: energy is. They're going to have to push back against 152 00:09:05,800 --> 00:09:09,120 Speaker 1: big tech, push back against big government, push back against 153 00:09:09,679 --> 00:09:14,240 Speaker 1: because this is where a Republican party is vulnerable. As 154 00:09:14,280 --> 00:09:17,360 Speaker 1: I said, and as we discussed with Bannon, the majority 155 00:09:17,360 --> 00:09:19,560 Speaker 1: of the Republican electorate is pretty maga, but not the 156 00:09:19,559 --> 00:09:23,000 Speaker 1: elected officials of the donor class. And that's part of 157 00:09:23,040 --> 00:09:25,720 Speaker 1: Trump's problem right now. That's why he's got a bill 158 00:09:25,720 --> 00:09:28,840 Speaker 1: that's going to politically be a big, fat failure for him. 159 00:09:29,320 --> 00:09:32,360 Speaker 1: There is nothing in there for his base, nothing at all, 160 00:09:33,400 --> 00:09:36,240 Speaker 1: and instead it's just tax He's just trying to keep 161 00:09:36,240 --> 00:09:39,400 Speaker 1: those tax cuts going and nobody's going to feel any new. 162 00:09:39,600 --> 00:09:43,520 Speaker 1: So it is it is in some ways that's going 163 00:09:43,600 --> 00:09:47,120 Speaker 1: to be the vulnerability that Democrats might end up taking 164 00:09:47,120 --> 00:09:52,000 Speaker 1: advantage of it, or a third party, because if Democrats 165 00:09:52,000 --> 00:09:54,760 Speaker 1: can't take advantage of this moment, then the vacuum that's 166 00:09:54,760 --> 00:09:56,560 Speaker 1: sitting out there is going to be filled by some 167 00:09:56,760 --> 00:10:04,160 Speaker 1: other entity. So it's anyway, I just I urge you 168 00:10:04,200 --> 00:10:06,320 Speaker 1: to take a listen to this interview on that front, 169 00:10:07,360 --> 00:10:10,240 Speaker 1: because I do think there's there's something here with what 170 00:10:11,200 --> 00:10:15,360 Speaker 1: you know, there's so many ways that I think we've 171 00:10:15,480 --> 00:10:19,640 Speaker 1: got to respect the fact that COVID really didn't just 172 00:10:20,040 --> 00:10:22,480 Speaker 1: change our politics, but in some ways it was politics 173 00:10:22,480 --> 00:10:25,160 Speaker 1: that was taking place, but it accelerated. You know, the 174 00:10:25,200 --> 00:10:29,319 Speaker 1: distrust was growing, the fear of concentrated power was growing, 175 00:10:29,679 --> 00:10:32,520 Speaker 1: and then COVID brought it all together, right, and it 176 00:10:32,600 --> 00:10:36,240 Speaker 1: was just this extra accelerant. You know, it was this 177 00:10:36,400 --> 00:10:40,559 Speaker 1: gasoline on the global fire here, and that appears that's 178 00:10:40,600 --> 00:10:44,160 Speaker 1: where what you can feel, that's where the Democrats suddenly 179 00:10:44,200 --> 00:10:48,439 Speaker 1: looked like the Party of the status quo. All right, 180 00:10:48,520 --> 00:10:52,000 Speaker 1: I want to do a little bit of I want 181 00:10:52,040 --> 00:10:55,120 Speaker 1: to pivot there. So that's before we get to the interview. 182 00:10:55,360 --> 00:10:59,160 Speaker 1: Pivot to a little campaign twenty twenty six update my 183 00:10:59,559 --> 00:11:03,760 Speaker 1: sort of book items. There's quite a bit out there 184 00:11:03,800 --> 00:11:09,079 Speaker 1: this week that I want to get to. It has 185 00:11:09,120 --> 00:11:14,079 Speaker 1: been a obviously, it's Wednesday morning, So what does that mean. 186 00:11:14,440 --> 00:11:17,319 Speaker 1: It was last yesterday on Tuesday, somebody was voting somewhere. Well, 187 00:11:17,320 --> 00:11:19,400 Speaker 1: we had a pretty big somewhere. We now have our 188 00:11:19,400 --> 00:11:23,800 Speaker 1: official nominees for governor in New Jersey. Mikey Cheryl, the 189 00:11:23,840 --> 00:11:27,720 Speaker 1: Democratic nominee, a national security veteran. She's sort of the 190 00:11:27,760 --> 00:11:32,160 Speaker 1: prototype of the type of candidate Democrats are desperate to 191 00:11:32,960 --> 00:11:36,800 Speaker 1: recruit in twenty twenty six. And here in twenty twenty five, 192 00:11:37,640 --> 00:11:40,400 Speaker 1: Mikey Cheryl, who was a veteran of that twenty eighteen class, 193 00:11:41,200 --> 00:11:44,800 Speaker 1: that first Trump midterm that was able to win. Abigail 194 00:11:44,800 --> 00:11:48,360 Speaker 1: Spanberger the Democratic nominee in Virginia. Her and mike You 195 00:11:48,480 --> 00:11:50,600 Speaker 1: Cheryl very close and in many ways, there are two 196 00:11:50,600 --> 00:11:53,439 Speaker 1: gubernatorial bids here in twenty twenty five or linked. Well, 197 00:11:53,640 --> 00:11:56,960 Speaker 1: she got that nomination, but she faces somebody who came 198 00:11:56,960 --> 00:11:59,400 Speaker 1: pretty close to winning the governor's mansion four years ago. 199 00:11:59,480 --> 00:12:07,680 Speaker 1: And Jack Cheerterorelli, he has been he's he's been sort 200 00:12:07,720 --> 00:12:13,200 Speaker 1: of hugging the mega movement without being pure maga. He's 201 00:12:13,240 --> 00:12:15,959 Speaker 1: got that line. And as we know, New Jersey is 202 00:12:16,000 --> 00:12:19,720 Speaker 1: a state that we've seen, it is trending I would 203 00:12:19,760 --> 00:12:23,800 Speaker 1: say sort of a little bit towards Trump. That doesn't 204 00:12:23,840 --> 00:12:26,720 Speaker 1: mean and and that doesn't mean a Republican is going 205 00:12:26,760 --> 00:12:29,080 Speaker 1: to win in twenty twenty five, but it means that 206 00:12:29,120 --> 00:12:31,800 Speaker 1: I think this race is going to be a lot closer. 207 00:12:32,440 --> 00:12:36,520 Speaker 1: Cheryl and Cheeddarelli will be a lot closer than Spanburger 208 00:12:36,559 --> 00:12:40,719 Speaker 1: and Winson and the Virginia race. Maybe I'm wrong. We'll 209 00:12:40,760 --> 00:12:46,240 Speaker 1: see the Lieutenant governor went to Earl sears Is on 210 00:12:46,400 --> 00:12:49,520 Speaker 1: a you know, sort of a rollout of her biographical spot. 211 00:12:49,640 --> 00:12:52,400 Speaker 1: It's an outsider spot, so we'll see. Maybe she can 212 00:12:52,400 --> 00:12:55,400 Speaker 1: close the gap here a little bit. But I don't 213 00:12:55,480 --> 00:12:58,760 Speaker 1: know how she can go against the tide of the 214 00:12:58,800 --> 00:13:02,080 Speaker 1: angry federal workers had Donald Trump right, and so it 215 00:13:02,200 --> 00:13:06,040 Speaker 1: just feels like she's swimming against a current in Virginia 216 00:13:06,120 --> 00:13:08,120 Speaker 1: that's going to be tough. For any Republicans to swim 217 00:13:08,160 --> 00:13:12,040 Speaker 1: against in New Jersey, Well, you know, you've got a 218 00:13:12,160 --> 00:13:16,480 Speaker 1: two term Democratic governor who's term limited. He had a tough, 219 00:13:16,600 --> 00:13:21,480 Speaker 1: closer than expected reelection against the same Republican nominee. And 220 00:13:21,520 --> 00:13:26,760 Speaker 1: it's quite common. It is quite common for uh, for 221 00:13:26,960 --> 00:13:29,760 Speaker 1: quite a few governors had to lose a race for 222 00:13:29,840 --> 00:13:32,040 Speaker 1: governor as the nominee to come back and win four 223 00:13:32,080 --> 00:13:35,000 Speaker 1: years later. Maybe they were challenged to sitting and coming 224 00:13:35,120 --> 00:13:39,920 Speaker 1: like Chitdarelli did, came up short, but then had enough 225 00:13:40,000 --> 00:13:42,360 Speaker 1: name recognition to get the nomination next time, and as 226 00:13:42,400 --> 00:13:45,839 Speaker 1: an open seat, suddenly looked like the solid and safe 227 00:13:45,840 --> 00:13:48,920 Speaker 1: and secure choice. So it'll be interesting. I think the 228 00:13:49,000 --> 00:13:54,840 Speaker 1: question is how what kind of distance can Chitdarelli get 229 00:13:54,880 --> 00:14:00,400 Speaker 1: from Trump that is credible. I will say this, the 230 00:14:00,440 --> 00:14:04,880 Speaker 1: whole salt tax debate that's taking place in Congress and 231 00:14:04,880 --> 00:14:08,480 Speaker 1: the reconciliation Billy, if that gets rolled back, that will 232 00:14:08,480 --> 00:14:11,400 Speaker 1: make a lot of cranky voters in New Jersey that 233 00:14:11,440 --> 00:14:15,120 Speaker 1: could harm. So it is one of the arguments that 234 00:14:15,160 --> 00:14:18,480 Speaker 1: the Salt Caucus and the Republican side that'll be a 235 00:14:18,559 --> 00:14:22,160 Speaker 1: fairly strong argument to make. Is Hey, if you want 236 00:14:22,200 --> 00:14:26,720 Speaker 1: to strengthen the Republican brand in New Jersey. Don't lower 237 00:14:26,960 --> 00:14:30,920 Speaker 1: those salt caps. So we shall see a few other 238 00:14:30,960 --> 00:14:32,720 Speaker 1: things that have caught my eye over the last week 239 00:14:33,040 --> 00:14:38,520 Speaker 1: on my campaign notebook, if you will. It's shocking how 240 00:14:38,560 --> 00:14:41,560 Speaker 1: many Democratic candidates for US Senate and Iowa are showing up. 241 00:14:41,560 --> 00:14:44,920 Speaker 1: We've gotten our third candidate in two weeks. Zach Walls 242 00:14:45,400 --> 00:14:49,280 Speaker 1: is a state senator thirty three. He's jumping, appears to 243 00:14:49,320 --> 00:14:54,280 Speaker 1: be jumping in the race, joining Nathan Sage, the Knoxville 244 00:14:54,600 --> 00:14:58,600 Speaker 1: County Chamber of Commerce head, and JD. Shulton, who was 245 00:14:58,600 --> 00:15:02,760 Speaker 1: the twenty twenty nominee in the Northwest congressional district. They're 246 00:15:02,840 --> 00:15:05,800 Speaker 1: the fourth district the old Steve King district came pretty 247 00:15:05,840 --> 00:15:09,640 Speaker 1: close once against Steve King. Sulton's also a minor league pitcher. 248 00:15:09,680 --> 00:15:13,400 Speaker 1: Even though he's in his mid forties, he's still still 249 00:15:14,080 --> 00:15:15,800 Speaker 1: is needed in the bullpen. I'm guessing he must be 250 00:15:15,840 --> 00:15:21,680 Speaker 1: a lefty. But what does it say about Joni Ernst. 251 00:15:21,720 --> 00:15:25,720 Speaker 1: There is a big belief that she's vulnerable among Democrats 252 00:15:25,760 --> 00:15:30,040 Speaker 1: out there in Iowa. I think another reason that's getting 253 00:15:30,040 --> 00:15:32,520 Speaker 1: a bunch of Iowa Democrats interested in that Senate race 254 00:15:32,600 --> 00:15:35,840 Speaker 1: is that there's going to be a strong Democratic candidate 255 00:15:35,840 --> 00:15:38,880 Speaker 1: for governor. My listeners, you guys have met Rob saying 256 00:15:39,000 --> 00:15:43,600 Speaker 1: he is he's been the auditor, the state auditor, and 257 00:15:43,880 --> 00:15:46,640 Speaker 1: he's been a Democrat that has been able to win 258 00:15:47,560 --> 00:15:50,560 Speaker 1: in big Republican years in Iowa. So we'll see with 259 00:15:50,640 --> 00:15:52,680 Speaker 1: him at the top of the ticket, he's going to 260 00:15:52,680 --> 00:15:55,400 Speaker 1: be well funded. It's an open race for governor as 261 00:15:55,480 --> 00:15:59,240 Speaker 1: Kim Reynolds decided not to seek another term, so there's 262 00:15:59,320 --> 00:16:05,880 Speaker 1: going to be a pretty concerted effort. Look, I'm very 263 00:16:05,880 --> 00:16:08,720 Speaker 1: familiar with Iowa. I've spent a lot of time covering 264 00:16:08,760 --> 00:16:13,160 Speaker 1: campaigns in Iowa. I think it's much lighter red than 265 00:16:13,280 --> 00:16:16,560 Speaker 1: what the results have shown in the last couple of cycles. 266 00:16:16,640 --> 00:16:19,480 Speaker 1: It is it is a state that wants to be 267 00:16:19,600 --> 00:16:22,920 Speaker 1: closer to the middle than the results have shown. And 268 00:16:22,960 --> 00:16:26,360 Speaker 1: I think there's a little bit of fatigue, particularly in 269 00:16:26,400 --> 00:16:29,920 Speaker 1: the state level, with with this version of Republican politics. 270 00:16:29,960 --> 00:16:33,240 Speaker 1: The you know, the the push against you know, the 271 00:16:33,240 --> 00:16:36,680 Speaker 1: push for school choice, his royal you know that is 272 00:16:37,080 --> 00:16:40,400 Speaker 1: that is a growing divide in the conservative movement among 273 00:16:41,280 --> 00:16:44,280 Speaker 1: those that live in rural parts of this country where 274 00:16:44,320 --> 00:16:47,680 Speaker 1: there just isn't many choices you know in theory, I 275 00:16:47,680 --> 00:16:51,240 Speaker 1: think these voters would like school choice. Where you're building 276 00:16:51,280 --> 00:16:53,480 Speaker 1: these schools, you know, how are you going to keep 277 00:16:53,520 --> 00:16:56,480 Speaker 1: these schools afloat to quote unquote have choice out there? 278 00:16:56,560 --> 00:16:59,760 Speaker 1: So school choice is really only viable in a suburban 279 00:16:59,840 --> 00:17:02,280 Speaker 1: or urban environment. It's just not as viable, and so 280 00:17:03,200 --> 00:17:07,640 Speaker 1: I don't think it's as been as popular in the world. 281 00:17:07,680 --> 00:17:10,320 Speaker 1: Parts of Iowa and a lot of people are feared. 282 00:17:10,320 --> 00:17:12,680 Speaker 1: This is what happened in Kansas. This is how Democrats 283 00:17:12,720 --> 00:17:15,959 Speaker 1: got competitive in Kansas was due to an overreach, particularly 284 00:17:16,000 --> 00:17:21,080 Speaker 1: on education that bit him. So the point is, boy, 285 00:17:21,119 --> 00:17:22,720 Speaker 1: there are a lot of Democrats in Iowa that think 286 00:17:22,720 --> 00:17:25,240 Speaker 1: the water is going to be pretty comfortable to swim 287 00:17:25,240 --> 00:17:28,760 Speaker 1: in campaign wise, in twenty twenty six. By the way, 288 00:17:29,000 --> 00:17:34,760 Speaker 1: Zach Walls is he's thirty three, which means his social 289 00:17:34,800 --> 00:17:37,440 Speaker 1: media profile goes back to it he was a teenager. 290 00:17:37,520 --> 00:17:40,600 Speaker 1: And guess what when he was a teenage boy sixteen, 291 00:17:40,640 --> 00:17:46,040 Speaker 1: seventeen eighteen, he had the interest of a teenage boy. 292 00:17:46,200 --> 00:17:48,000 Speaker 1: It's the type of stuff that twenty years ago people 293 00:17:48,000 --> 00:17:50,439 Speaker 1: would have thought a bet a problem. I kind of 294 00:17:50,440 --> 00:17:55,000 Speaker 1: think we'll see. I think if people run against him 295 00:17:55,040 --> 00:18:01,840 Speaker 1: on these issues, that will create an immediate backlash, particularly 296 00:18:01,840 --> 00:18:05,560 Speaker 1: against younger voters. Right, I think that my guess is 297 00:18:05,600 --> 00:18:07,960 Speaker 1: this will be hands off and it won't happen. But 298 00:18:08,000 --> 00:18:09,600 Speaker 1: the only question I have is is that with all 299 00:18:09,600 --> 00:18:12,040 Speaker 1: these candidates in here, you know there's other statewide races. 300 00:18:12,440 --> 00:18:15,840 Speaker 1: I wonder if there's some If all of these candidates 301 00:18:15,840 --> 00:18:19,960 Speaker 1: are considered pretty interesting, rising young stars, potential stars, do 302 00:18:20,080 --> 00:18:22,240 Speaker 1: you see some trying to push them into say a 303 00:18:22,280 --> 00:18:25,280 Speaker 1: state treasurer's race, or does one of them end up 304 00:18:25,320 --> 00:18:28,160 Speaker 1: on the ticket as a lieutenant governor candidate. So it'll 305 00:18:28,359 --> 00:18:32,119 Speaker 1: it'll be interesting to see if this can if this 306 00:18:32,440 --> 00:18:38,000 Speaker 1: crowded Democratic Senate primary in Iowa stays that crowded. Something 307 00:18:38,040 --> 00:18:41,160 Speaker 1: caught my eye in the Minnesota Senate Democratic primary. Tina 308 00:18:41,200 --> 00:18:44,800 Speaker 1: Smith is retiring, and you're seeing this is going to 309 00:18:44,840 --> 00:18:48,159 Speaker 1: be both Michigan. The open seats in Michigan Senate and 310 00:18:48,160 --> 00:18:51,199 Speaker 1: Minnesota Senate are going to be fascinating to watch on 311 00:18:51,240 --> 00:18:55,359 Speaker 1: the left because you have there's no anointed front runner, 312 00:18:55,440 --> 00:18:58,680 Speaker 1: there's no singular candidate. So the Progressives have a candidate, 313 00:18:59,160 --> 00:19:02,240 Speaker 1: and the sort of the sort of the Centrists have 314 00:19:02,280 --> 00:19:04,760 Speaker 1: a candidate, and Minnesota is one of those Angie Craig 315 00:19:05,760 --> 00:19:08,760 Speaker 1: is somebody who she represents the second congressional district that's 316 00:19:08,760 --> 00:19:13,480 Speaker 1: a swing district. She's definitely more I would say center left. 317 00:19:14,800 --> 00:19:18,320 Speaker 1: You have the Lieutenant governor Peggy Flanagan. She's been endorsed 318 00:19:18,320 --> 00:19:22,160 Speaker 1: by Elizabeth Warren. She's definitely she is seen as more 319 00:19:22,200 --> 00:19:26,119 Speaker 1: of the mainstream progressive candidate. Well, what's going to be 320 00:19:26,560 --> 00:19:30,960 Speaker 1: interesting to see is which presidential candidates get involved in 321 00:19:31,000 --> 00:19:33,879 Speaker 1: which one of these primaries. And we already have an 322 00:19:33,880 --> 00:19:37,679 Speaker 1: interesting split. So Reuben Diego, who is a new candidate 323 00:19:37,760 --> 00:19:40,320 Speaker 1: you should be putting on your twenty twenty eight Democratic 324 00:19:40,400 --> 00:19:45,680 Speaker 1: presidential lists. The Democratic candidate from Arizona, Well, he endorsed, 325 00:19:45,760 --> 00:19:49,760 Speaker 1: publicly endorsed Angie Craig. And like I said, we've seen 326 00:19:49,800 --> 00:19:53,240 Speaker 1: Bernie Sanders, Elizabeth Warren. So some of these Senate primaries, 327 00:19:53,280 --> 00:19:56,800 Speaker 1: particularly in Michigan and in Minnesota, you're going to see 328 00:19:57,920 --> 00:20:01,920 Speaker 1: potential twenty twenty eight Democrats sort of try to virtue 329 00:20:02,040 --> 00:20:05,240 Speaker 1: signal where the direction they want to run in or 330 00:20:05,280 --> 00:20:07,720 Speaker 1: how they want to be viewed. You know, we saw 331 00:20:07,720 --> 00:20:11,159 Speaker 1: Pete Budagid's got involved in there's a there's a pretty 332 00:20:11,200 --> 00:20:13,320 Speaker 1: open we're seeing. We see a little bit of that. 333 00:20:13,359 --> 00:20:16,800 Speaker 1: In the lieutenant governor Democratic primary in Virginia that's taking 334 00:20:16,840 --> 00:20:21,920 Speaker 1: place later this month. You're seeing there's some progressive candidates 335 00:20:21,920 --> 00:20:23,960 Speaker 1: that that that sort of Sanders is involved with. And 336 00:20:24,000 --> 00:20:26,600 Speaker 1: then there's like LeVar Stony, the mayor of Richmond, who 337 00:20:26,680 --> 00:20:29,240 Speaker 1: Terry mccauoffe is helping. Well. Pete Buutagid's got behind that. 338 00:20:29,359 --> 00:20:33,479 Speaker 1: So he's considered quote unquote in the mainstream liberal candidate 339 00:20:33,520 --> 00:20:36,600 Speaker 1: in the race. But some of these primaries you'll see 340 00:20:36,640 --> 00:20:39,240 Speaker 1: twenty twenty eight ers, So just keep an eye on that. 341 00:20:39,280 --> 00:20:41,040 Speaker 1: One just caught my eye in it and it struck 342 00:20:41,080 --> 00:20:45,760 Speaker 1: me as something we're likely to see New Canada. New 343 00:20:45,800 --> 00:20:50,480 Speaker 1: potential Candida Senate candidate alert In Georgia, Derek Dooley, former 344 00:20:50,520 --> 00:20:54,040 Speaker 1: head football coach of the University of Tennessee and the 345 00:20:54,080 --> 00:20:59,159 Speaker 1: son of coaching of Georgia of Georgia football coach legend 346 00:20:59,280 --> 00:21:02,000 Speaker 1: Vince Dooley, says he's going to decide in a few 347 00:21:02,000 --> 00:21:04,280 Speaker 1: weeks whether he is going to jump into that Senate race. 348 00:21:05,280 --> 00:21:08,919 Speaker 1: Apparently he's pretty close with Brian Kemp. A lot of 349 00:21:08,960 --> 00:21:11,800 Speaker 1: Republicans haven't been satisfied with this field that it includes 350 00:21:11,920 --> 00:21:16,360 Speaker 1: Congressman Buddy Carter, the insurance Commissioner John King, Mike Collins 351 00:21:16,440 --> 00:21:20,440 Speaker 1: as well, So Derek Dooley could be the you could 352 00:21:20,480 --> 00:21:23,600 Speaker 1: see and I see the appeal. There Just a fun 353 00:21:23,600 --> 00:21:29,200 Speaker 1: little fact there. Vince Dooley in nineteen eighty five, while 354 00:21:29,240 --> 00:21:31,439 Speaker 1: he was head coach of the University of Georgia, and 355 00:21:31,520 --> 00:21:34,960 Speaker 1: before Kirby Smart, he would be considered the most successful 356 00:21:35,080 --> 00:21:37,240 Speaker 1: football coach in the history. He won a national title. 357 00:21:37,680 --> 00:21:40,760 Speaker 1: He was the most successful legendary football coach at Georgia football. 358 00:21:40,800 --> 00:21:45,359 Speaker 1: I think now Kirby Smart has surpassed him on that front, 359 00:21:45,440 --> 00:21:48,919 Speaker 1: but there's still a lot of he is beloved well. 360 00:21:48,920 --> 00:21:52,760 Speaker 1: In nineteen eighty five, Democrats, we're trying to convince Vince 361 00:21:52,800 --> 00:21:56,600 Speaker 1: Dooley to run for the US Senate seat. There mac 362 00:21:56,680 --> 00:22:00,359 Speaker 1: maddingly was, there was a whole slew of Republicans that 363 00:22:00,440 --> 00:22:03,600 Speaker 1: won in eighty A lot of them lost in eighty six. 364 00:22:03,640 --> 00:22:07,160 Speaker 1: Democrats won the Senate in eighty six, and largely by 365 00:22:07,200 --> 00:22:09,679 Speaker 1: flipping a bunch of Southern Senate seats Bob Graham one 366 00:22:09,720 --> 00:22:13,280 Speaker 1: in Florida. He ended up with a weish Fowler ended 367 00:22:13,359 --> 00:22:16,520 Speaker 1: up winning this seat in Georgia. But before Weish Fowler 368 00:22:17,040 --> 00:22:20,360 Speaker 1: was the Democratic nominee. There was an effort to get 369 00:22:20,440 --> 00:22:23,560 Speaker 1: Vince Dooley, and Vince took a month in the summer 370 00:22:24,000 --> 00:22:27,520 Speaker 1: before the start of football season. He was still head coach. 371 00:22:29,240 --> 00:22:31,879 Speaker 1: Eddie took it seriously. Eddie thought about it and then 372 00:22:31,920 --> 00:22:34,840 Speaker 1: he decided not to run. Rumors of Vince Stooley getting 373 00:22:34,840 --> 00:22:37,159 Speaker 1: involved in politics were out there a little bit in 374 00:22:37,200 --> 00:22:40,359 Speaker 1: the nineties. His name would get floated out there. You know. 375 00:22:40,440 --> 00:22:42,760 Speaker 1: First it was with Democrats, and then of course the 376 00:22:42,800 --> 00:22:46,679 Speaker 1: conservative Democrats of the seventies and eighties sort of retired, 377 00:22:46,760 --> 00:22:49,560 Speaker 1: Vince Stoley sort of gravitated to the Republican side. So 378 00:22:49,720 --> 00:22:52,920 Speaker 1: hence Derek Dooley now being recruited as a Republican here. 379 00:22:52,960 --> 00:22:54,960 Speaker 1: But that just thought for those of you that like 380 00:22:55,040 --> 00:22:58,879 Speaker 1: your political junkie history, I thought I'd give you a 381 00:22:58,880 --> 00:23:02,720 Speaker 1: little political junkie history there. Keep an eye out. A 382 00:23:04,960 --> 00:23:08,600 Speaker 1: little something my friends at the hotline surfaced up in Louisiana. 383 00:23:09,119 --> 00:23:14,560 Speaker 1: Apparently Bill Cassidy and supporters of Bill Cassidy have quietly 384 00:23:14,640 --> 00:23:20,440 Speaker 1: been trying to convince the state legislature to get rid 385 00:23:20,520 --> 00:23:24,719 Speaker 1: of the runoff provision in the primary. Already, Louisiana got 386 00:23:24,800 --> 00:23:28,040 Speaker 1: rid of. They're going to have partisan primaries and likely 387 00:23:28,040 --> 00:23:31,560 Speaker 1: a close primary, and that's probably means Cassidy won't win. 388 00:23:32,920 --> 00:23:34,880 Speaker 1: He's going to have a tough time winning a Republican 389 00:23:34,920 --> 00:23:38,640 Speaker 1: primary against John Fleming, who is challenging him the state 390 00:23:38,680 --> 00:23:42,159 Speaker 1: treasure But you know, if there's more candidates get in 391 00:23:42,200 --> 00:23:44,280 Speaker 1: and if he can make thirty five or forty percent 392 00:23:44,280 --> 00:23:47,080 Speaker 1: of winning number without having to go to a runoff, 393 00:23:47,440 --> 00:23:49,280 Speaker 1: and that's what would happen. If nobody got fifty percent, 394 00:23:49,359 --> 00:23:53,200 Speaker 1: they'd have held a runoff. So there's some thought that 395 00:23:53,200 --> 00:23:56,680 Speaker 1: that might go away. The legislature didn't do anything yet, 396 00:23:56,680 --> 00:24:00,119 Speaker 1: but it's still potentially an open question. Just something deep 397 00:24:00,119 --> 00:24:03,080 Speaker 1: an eye on there. Before I wrap up my little 398 00:24:03,800 --> 00:24:10,080 Speaker 1: campaign twenty twenty six notebook here this week, I gotta 399 00:24:10,119 --> 00:24:12,639 Speaker 1: make a note of what's going on in Tennessee. A 400 00:24:12,680 --> 00:24:16,120 Speaker 1: suburban sort of suburban ex surban seat in Nashville that's 401 00:24:16,119 --> 00:24:18,600 Speaker 1: held by Mark green Well. He's the chair of the 402 00:24:18,600 --> 00:24:21,320 Speaker 1: Homeland Security Committee. He announced that he's going to resign 403 00:24:22,400 --> 00:24:24,520 Speaker 1: before the end of his term to join the private sector. 404 00:24:24,600 --> 00:24:28,280 Speaker 1: There'll be a special election. He said he'll resign after 405 00:24:28,600 --> 00:24:31,600 Speaker 1: the big, big Beautiful Bill is voted on because of 406 00:24:31,640 --> 00:24:33,520 Speaker 1: course after the Senate's got to come back to the House. 407 00:24:33,560 --> 00:24:37,520 Speaker 1: So he's apparently probably cut that deal with Speaker Johnson. 408 00:24:37,560 --> 00:24:39,880 Speaker 1: He probably wanted to quit sooner, and Johnson probably said 409 00:24:40,040 --> 00:24:42,400 Speaker 1: I need the votes, will you please stay until then? 410 00:24:43,040 --> 00:24:49,760 Speaker 1: So that's obviously what they negotiated. But boy, I tweeted 411 00:24:49,760 --> 00:24:54,199 Speaker 1: earlier that Mark Green feels like if you ask the 412 00:24:54,240 --> 00:25:00,240 Speaker 1: Netflix algorithm to come up with a flawed character that 413 00:25:00,320 --> 00:25:03,160 Speaker 1: was a member of Congress for a Netflix political thriller, 414 00:25:03,640 --> 00:25:08,240 Speaker 1: you might produce Mark Green. He was gonna not seek reelection, 415 00:25:08,400 --> 00:25:11,560 Speaker 1: and he ended up seeking reelection in twenty four But 416 00:25:11,760 --> 00:25:16,320 Speaker 1: is you know his wife sent a text to now 417 00:25:16,359 --> 00:25:19,560 Speaker 1: ex wife, by the way, send a text far and 418 00:25:19,600 --> 00:25:22,359 Speaker 1: wide announcing to the world that her husband was having 419 00:25:22,359 --> 00:25:26,000 Speaker 1: an affair. Got a little notoriety at the time because 420 00:25:26,040 --> 00:25:30,840 Speaker 1: she correctly noted that her husband was having an affair, 421 00:25:30,920 --> 00:25:35,000 Speaker 1: but incorrectly noted the organization that the mistress was working for, 422 00:25:35,520 --> 00:25:38,880 Speaker 1: so it created all sorts of consternation with said organization. 423 00:25:39,040 --> 00:25:40,840 Speaker 1: I'm not going to sit here and repeat the mistake. 424 00:25:41,600 --> 00:25:43,520 Speaker 1: If you guys want to go down and dive into 425 00:25:43,560 --> 00:25:48,720 Speaker 1: the Google's you can go and do that. But here 426 00:25:48,720 --> 00:25:51,200 Speaker 1: he is has got a you know, he's sort of frankly, 427 00:25:52,080 --> 00:25:56,760 Speaker 1: you know, nothing unique in his personal life story. There 428 00:25:57,400 --> 00:26:02,880 Speaker 1: congressman comes to Washington, has an affair with lobbyists. I mean, 429 00:26:02,920 --> 00:26:05,119 Speaker 1: I hate to tell you that that is that is 430 00:26:05,320 --> 00:26:07,080 Speaker 1: not only is he not the first congressman to do that, 431 00:26:07,119 --> 00:26:08,720 Speaker 1: he's not the second congressman to do that. He's not 432 00:26:08,760 --> 00:26:11,199 Speaker 1: the third congressman. He's probably not the first congressman in 433 00:26:11,240 --> 00:26:14,760 Speaker 1: his own class to do that. It is a very 434 00:26:14,760 --> 00:26:20,600 Speaker 1: familiar path to destroy marriages for members of Congress. It's debate. 435 00:26:20,800 --> 00:26:22,800 Speaker 1: I'm sure he didn't move his family. He's probably one 436 00:26:22,840 --> 00:26:26,080 Speaker 1: of those that kept his family in the district. That is, 437 00:26:26,480 --> 00:26:30,840 Speaker 1: that is a recipe for potential disaster when members of 438 00:26:30,840 --> 00:26:32,719 Speaker 1: Congress do that, they really ought to bring their if 439 00:26:32,720 --> 00:26:35,000 Speaker 1: they want to keep their marriages, they really ought to 440 00:26:35,000 --> 00:26:38,600 Speaker 1: bring their spouses to Washington highlight. I get it. With 441 00:26:38,800 --> 00:26:41,200 Speaker 1: small kids, there's there's lots of reasons you don't want 442 00:26:41,240 --> 00:26:44,439 Speaker 1: to do that. But but preserving the marriage is a 443 00:26:44,440 --> 00:26:48,160 Speaker 1: pretty strong reason to do it anyway. But but it's 444 00:26:48,280 --> 00:26:50,680 Speaker 1: so the so the affair stuff that is kind of 445 00:26:50,760 --> 00:26:54,879 Speaker 1: running the mill. Frankly, no offense. Congressman Green but these 446 00:26:55,240 --> 00:26:58,600 Speaker 1: wacky business deals that he's apparently floating around here about Guyana, 447 00:26:59,480 --> 00:27:02,359 Speaker 1: I think that's where I'm like, Oh, the Netflix algorithm 448 00:27:02,400 --> 00:27:07,360 Speaker 1: created a more interesting character than I expected. So that's 449 00:27:07,400 --> 00:27:10,040 Speaker 1: a fun little story. But keep an eye on this 450 00:27:10,080 --> 00:27:13,680 Speaker 1: special election. I'm sort of I'm burying the lead here. 451 00:27:15,200 --> 00:27:19,360 Speaker 1: It's a twenty point Republican district sixty percent Trump. But yes, okay, 452 00:27:19,640 --> 00:27:22,159 Speaker 1: this is not a district Democrats could flip in a 453 00:27:22,200 --> 00:27:27,520 Speaker 1: normal environment, hardstop. But in a special election environment, all 454 00:27:27,600 --> 00:27:31,360 Speaker 1: during twenty eighteen, they averaged an overperformance of about thirteen 455 00:27:31,440 --> 00:27:35,880 Speaker 1: percentage points. They overperformed by thirteen points in this district. 456 00:27:35,880 --> 00:27:39,040 Speaker 1: You're looking at a fifty three to forty seven race. Okay, 457 00:27:39,680 --> 00:27:43,520 Speaker 1: that's a fairly competitive race. The point is, this is 458 00:27:43,600 --> 00:27:49,520 Speaker 1: going to be a good barometer check. Okay, how Republicans 459 00:27:49,520 --> 00:27:54,639 Speaker 1: will win this special election. What's the margin? The margin 460 00:27:54,640 --> 00:27:56,720 Speaker 1: here's gonna matter. The margin is gonna tell me again? 461 00:27:57,200 --> 00:27:59,520 Speaker 1: This is you know, this is part of the greater 462 00:27:59,680 --> 00:28:04,600 Speaker 1: Nationale area. Nashville is growing like crazy. It is an 463 00:28:04,840 --> 00:28:07,600 Speaker 1: urban area that is not shifting hard to the left 464 00:28:07,640 --> 00:28:10,080 Speaker 1: the way other urban and suburban areas have. It's not 465 00:28:10,240 --> 00:28:14,119 Speaker 1: as anti Trump as other urban and suburban areas, but 466 00:28:14,280 --> 00:28:17,560 Speaker 1: it is certainly not as maga as some other parts 467 00:28:17,720 --> 00:28:22,040 Speaker 1: of Tennessee are. So I just think plus there's always 468 00:28:22,080 --> 00:28:24,760 Speaker 1: got you know, if Green does sort of leave in 469 00:28:24,840 --> 00:28:31,000 Speaker 1: this spectacular, sort of questionable ethical fashion, that will just 470 00:28:31,119 --> 00:28:33,520 Speaker 1: adds just enough cloud that could you know that chips 471 00:28:33,520 --> 00:28:36,040 Speaker 1: away and then all of a sudden, if you're overperforming 472 00:28:36,080 --> 00:28:39,440 Speaker 1: by fifteen or sixteen points, then you're just a you know, 473 00:28:39,560 --> 00:28:43,240 Speaker 1: a bad bad weather turnout day away from pulling an 474 00:28:43,280 --> 00:28:45,960 Speaker 1: upset there. So the point is is that when this 475 00:28:46,000 --> 00:28:48,320 Speaker 1: special election gets announced, and it hasn't been announced yet, 476 00:28:48,360 --> 00:28:53,280 Speaker 1: but it'll probably be either Lay twenty five, maybe November ish, 477 00:28:53,360 --> 00:28:57,840 Speaker 1: early December or early twenty six, but keep an eye 478 00:28:57,880 --> 00:29:00,560 Speaker 1: on this one because it's just the type of makeup 479 00:29:01,800 --> 00:29:06,760 Speaker 1: that it'll be huh, what's going on here? And it 480 00:29:06,800 --> 00:29:09,920 Speaker 1: should be an interesting barometer to find out how weak 481 00:29:10,240 --> 00:29:13,640 Speaker 1: or strong are the two party brands going into the 482 00:29:13,720 --> 00:29:18,080 Speaker 1: Mike chokes. All right, So there you got my notebook 483 00:29:18,160 --> 00:29:20,720 Speaker 1: up eight there, So let me put a pin in that. 484 00:29:21,880 --> 00:29:32,640 Speaker 1: Let's get to the interview about Prime Minister. There's a 485 00:29:32,720 --> 00:29:38,880 Speaker 1: great new documentary coming out about the second ever world 486 00:29:39,040 --> 00:29:44,200 Speaker 1: leader to give birth while in office. Just Sinda r Dern, 487 00:29:44,320 --> 00:29:47,240 Speaker 1: the former Prime Minister of New Zealand, somebody I interviewed 488 00:29:47,560 --> 00:29:49,880 Speaker 1: on Meet the Press actually a few years back while 489 00:29:49,920 --> 00:29:52,560 Speaker 1: she was Prime minister. She's the subject of a new 490 00:29:52,640 --> 00:29:56,840 Speaker 1: documentary called Prime Minister. It's going to hit AMC theaters 491 00:29:57,560 --> 00:30:01,440 Speaker 1: on June thirteenth. Hopefully when you're hearing this you will 492 00:30:01,480 --> 00:30:04,880 Speaker 1: have ways to go find it, go see it. And 493 00:30:05,000 --> 00:30:08,400 Speaker 1: the two co directors are my guests today, Lindsay Utes 494 00:30:08,560 --> 00:30:13,280 Speaker 1: and Michelle Walsh. Lindsay and Michelle, welcome to the Toodcast 495 00:30:13,440 --> 00:30:16,800 Speaker 1: and congratulations. This is a big deal, feature length documentary. 496 00:30:16,880 --> 00:30:19,080 Speaker 1: That's no small task. 497 00:30:20,480 --> 00:30:24,400 Speaker 2: Thank you. Thanks for having us. I've been watching watching 498 00:30:24,440 --> 00:30:26,440 Speaker 2: you for years, so I'm really honest to be here. 499 00:30:26,720 --> 00:30:28,960 Speaker 1: Thank you for saying that. Well, look, your co directors, 500 00:30:29,160 --> 00:30:34,760 Speaker 1: you're on two different continent, two different hemispheres right now. Michelle, 501 00:30:34,800 --> 00:30:37,960 Speaker 1: give me the origin story of how you two got 502 00:30:38,040 --> 00:30:40,640 Speaker 1: together and how this came to be. 503 00:30:42,600 --> 00:30:45,720 Speaker 3: It's such a great story. Thanks for having us. Well, 504 00:30:45,800 --> 00:30:48,200 Speaker 3: many years ago, we were very lucky to work with 505 00:30:48,320 --> 00:30:52,360 Speaker 3: Jasinda on her labor campaign before she was Prime minister, 506 00:30:53,360 --> 00:30:56,560 Speaker 3: and even back then you could say that there was 507 00:30:56,640 --> 00:30:59,600 Speaker 3: just something incredibly magnetic and different about the way she 508 00:31:00,560 --> 00:31:05,000 Speaker 3: approach things. Obviously her leading with empathy, all of those 509 00:31:05,080 --> 00:31:09,960 Speaker 3: things were very evident early and we just felt like, 510 00:31:11,080 --> 00:31:12,560 Speaker 3: you know, there might be a story there. But of 511 00:31:12,640 --> 00:31:16,960 Speaker 3: course she was head down running a country with a baby, 512 00:31:17,960 --> 00:31:22,040 Speaker 3: and so we didn't talk for about doing a documentary 513 00:31:22,080 --> 00:31:23,800 Speaker 3: so much, but we did try to roll the cameras 514 00:31:24,360 --> 00:31:27,520 Speaker 3: where we could in and around her and then. 515 00:31:27,440 --> 00:31:29,280 Speaker 1: When she how often did you have access to her 516 00:31:29,480 --> 00:31:30,000 Speaker 1: like it was. 517 00:31:33,080 --> 00:31:36,360 Speaker 3: It was intermitted. My husband Leon Kirkback was on the 518 00:31:37,600 --> 00:31:40,880 Speaker 3: campaign trail with her at times. We were able to 519 00:31:40,960 --> 00:31:45,400 Speaker 3: see her in different different moments that that felt important 520 00:31:45,440 --> 00:31:47,720 Speaker 3: to capture. So there was quite a bit over the 521 00:31:47,840 --> 00:31:51,920 Speaker 3: seven years for sure. But really the gift was her husband, 522 00:31:52,040 --> 00:31:56,880 Speaker 3: who was a filmmaker, Clark Gafford, was capturing this for 523 00:31:57,800 --> 00:31:59,480 Speaker 3: you know, his own personal record. 524 00:31:59,280 --> 00:32:02,240 Speaker 1: So he was doing okay, I had a feeling this 525 00:32:02,440 --> 00:32:04,960 Speaker 1: felt like you had a lot of cooperation from her. 526 00:32:05,760 --> 00:32:08,000 Speaker 1: You know, her diary, you know, for instance, and all 527 00:32:08,040 --> 00:32:12,280 Speaker 1: of these things. I mean, she clearly understood, hey, this 528 00:32:12,440 --> 00:32:15,440 Speaker 1: is a moment in history. I should chronicle this regardless 529 00:32:15,520 --> 00:32:17,880 Speaker 1: of whether I succeed or fail, because no matter what 530 00:32:18,400 --> 00:32:19,840 Speaker 1: people are going to want to know what happened in 531 00:32:19,920 --> 00:32:22,720 Speaker 1: real time, so keeping a diary, thank goodness for that. 532 00:32:22,800 --> 00:32:25,520 Speaker 1: I fear too many politicians won't do this anymore, for 533 00:32:25,680 --> 00:32:27,960 Speaker 1: fear of stuff leaking out or what you know, the 534 00:32:28,280 --> 00:32:33,120 Speaker 1: real time problems when historians need this stuff. But it 535 00:32:33,240 --> 00:32:36,040 Speaker 1: feels as if she was pretty much whether she worked 536 00:32:36,040 --> 00:32:37,960 Speaker 1: with you guys or somebody else, she had planned to 537 00:32:38,640 --> 00:32:40,160 Speaker 1: have a lot of material about her time. 538 00:32:41,160 --> 00:32:45,040 Speaker 3: Interestingly, yes, but for the reasons that she's a lover 539 00:32:45,120 --> 00:32:48,200 Speaker 3: of history, not to create a documentary. In fact, the 540 00:32:48,320 --> 00:32:51,120 Speaker 3: audio diaries that you hear in the film weren't supposed 541 00:32:51,160 --> 00:32:54,000 Speaker 3: to be released until after she died. So she gave 542 00:32:54,160 --> 00:32:58,640 Speaker 3: those as really candid forty hours of handed diary interviews 543 00:32:58,680 --> 00:33:02,560 Speaker 3: that as part of the Alexander Turnbull Library project. They 544 00:33:02,640 --> 00:33:07,560 Speaker 3: interview a lot of historical figures, political and otherwise. And 545 00:33:07,840 --> 00:33:09,920 Speaker 3: so she was doing those interviews every two weeks, thinking 546 00:33:09,960 --> 00:33:12,680 Speaker 3: they would never be heard, and she gave us access 547 00:33:12,720 --> 00:33:16,240 Speaker 3: to those and how Lindsay got involved. We're very lucky 548 00:33:16,320 --> 00:33:20,640 Speaker 3: that when Jacinda agreed that her story might have interest, 549 00:33:23,360 --> 00:33:27,600 Speaker 3: we went to the US seeking a financier and a 550 00:33:27,680 --> 00:33:32,000 Speaker 3: bigger team, and we connected with Madison Wells, who then 551 00:33:32,040 --> 00:33:34,880 Speaker 3: introduced us to Lindsay, and Lindsay got to be a 552 00:33:35,000 --> 00:33:36,880 Speaker 3: co director with me, which was really exciting from my 553 00:33:36,960 --> 00:33:37,600 Speaker 3: perspective too. 554 00:33:38,400 --> 00:33:41,200 Speaker 1: So Lindsay, tell me when you got interested in the 555 00:33:41,320 --> 00:33:44,560 Speaker 1: ar Durned story and when your role began. 556 00:33:45,480 --> 00:33:49,320 Speaker 2: Sure. So, I think, like a lot of people, I 557 00:33:49,440 --> 00:33:53,719 Speaker 2: had admired her from AFAR for many years. I think 558 00:33:53,800 --> 00:33:56,880 Speaker 2: I first took notice of her after she passed the 559 00:33:58,280 --> 00:34:03,040 Speaker 2: ban on assault weapons after the terrorist attack in christ Church. 560 00:34:03,760 --> 00:34:06,880 Speaker 2: And you know, I'm a mother. I have two young kids, 561 00:34:07,000 --> 00:34:09,960 Speaker 2: so I live daily with the fear of sending them 562 00:34:10,000 --> 00:34:13,640 Speaker 2: to school. It's very real, it's very visceral, especially for 563 00:34:13,760 --> 00:34:17,719 Speaker 2: Americans because of our gun problems here. So I obviously 564 00:34:18,160 --> 00:34:21,719 Speaker 2: took notice of her and was blown away by her 565 00:34:21,840 --> 00:34:26,320 Speaker 2: leadership on that front. And then during the pandemic, you know, 566 00:34:27,719 --> 00:34:31,279 Speaker 2: I was really desperate for science based leadership, and I 567 00:34:31,360 --> 00:34:34,840 Speaker 2: remember the cable news networks would run her daily briefings 568 00:34:35,000 --> 00:34:38,279 Speaker 2: and so I ended up tuning in quite a bit 569 00:34:38,480 --> 00:34:40,560 Speaker 2: to listen to what she had to say, and I 570 00:34:40,680 --> 00:34:44,560 Speaker 2: admired the way she was running her country during the pandemic. 571 00:34:45,080 --> 00:34:47,840 Speaker 2: So fast forward to many years later, I get a 572 00:34:47,880 --> 00:34:51,839 Speaker 2: phone call about this project and found out that there, 573 00:34:52,320 --> 00:34:56,759 Speaker 2: you know, existed material with her that was shot during 574 00:34:56,920 --> 00:35:01,840 Speaker 2: her time in office, and you can imagine my head exploded. 575 00:35:01,880 --> 00:35:04,600 Speaker 2: I mean, that kind of access to a world leader, 576 00:35:05,080 --> 00:35:08,400 Speaker 2: It's unbelievable. So I only had to see about two 577 00:35:08,560 --> 00:35:12,400 Speaker 2: three minutes of Clark's raw footage to know that I 578 00:35:12,520 --> 00:35:16,160 Speaker 2: wanted to come on board and to do this. So 579 00:35:16,360 --> 00:35:19,759 Speaker 2: I came on board, and you know, and it was 580 00:35:19,800 --> 00:35:22,080 Speaker 2: a process because we I had to get to know, 581 00:35:22,520 --> 00:35:24,560 Speaker 2: you know, the New Zealand team, and we all had 582 00:35:24,600 --> 00:35:26,680 Speaker 2: to decide if we liked each other enough to do this, 583 00:35:26,880 --> 00:35:31,960 Speaker 2: and thankfully we did, We really did, and we all 584 00:35:32,160 --> 00:35:35,080 Speaker 2: shared kind of the same vision for what this could be, 585 00:35:35,760 --> 00:35:40,080 Speaker 2: which was a much bigger global story, not just a 586 00:35:40,200 --> 00:35:43,600 Speaker 2: localized political story in New Zealand, but a film that 587 00:35:43,680 --> 00:35:47,439 Speaker 2: could resonate with audiences worldwide. So that's what we started doing. 588 00:35:47,640 --> 00:35:51,680 Speaker 2: And we were lucky that Jacinda at the time after 589 00:35:51,800 --> 00:35:55,400 Speaker 2: her resignation, she moved to the States and had a 590 00:35:55,440 --> 00:35:59,840 Speaker 2: fellowship at Harvard, So Michelle and I were really like 591 00:36:00,280 --> 00:36:02,120 Speaker 2: to be able to go spend time with her in 592 00:36:02,239 --> 00:36:07,120 Speaker 2: Boston and talk to her at length about her experience 593 00:36:07,320 --> 00:36:10,960 Speaker 2: and interview her and as Michelle mentioned, the audio diaries, 594 00:36:11,080 --> 00:36:13,560 Speaker 2: you know, we used the audio diaries as a kind 595 00:36:13,560 --> 00:36:17,560 Speaker 2: of portal into the past, and we asked her not 596 00:36:17,680 --> 00:36:19,520 Speaker 2: to listen to any of them until we got there 597 00:36:19,600 --> 00:36:22,560 Speaker 2: with the camera because we wanted her reaction to the 598 00:36:22,640 --> 00:36:25,239 Speaker 2: diary time reaction, Yeah, real time reaction, so you can 599 00:36:25,320 --> 00:36:28,080 Speaker 2: really see the emotion on her face when she's listened 600 00:36:28,160 --> 00:36:31,160 Speaker 2: to something that happened, you know, three four years ago. 601 00:36:31,680 --> 00:36:33,520 Speaker 2: So we were really lucky to have that kind of 602 00:36:33,560 --> 00:36:36,240 Speaker 2: access to her here in the States to continue shooting 603 00:36:36,320 --> 00:36:40,399 Speaker 2: after her resignation. And this film, you know, just has 604 00:36:40,480 --> 00:36:44,799 Speaker 2: an incredible team in New Zealand in the States, incredibly dedicated, 605 00:36:44,880 --> 00:36:49,200 Speaker 2: talented filmmakers that all came together to bring this film 606 00:36:49,239 --> 00:36:49,600 Speaker 2: to life. 607 00:36:50,280 --> 00:36:52,800 Speaker 1: You know, it's interesting with the and I'd love to 608 00:36:52,880 --> 00:36:55,920 Speaker 1: know how many times how often was she surprised by 609 00:36:55,960 --> 00:36:58,920 Speaker 1: what she said. I say this because I recently interviewed 610 00:36:58,960 --> 00:37:02,600 Speaker 1: McKay coppins, who did this book on Mitt Romney, and 611 00:37:02,680 --> 00:37:05,800 Speaker 1: he got similar access. Now, it wasn't the audio diaries, 612 00:37:05,880 --> 00:37:10,840 Speaker 1: it was it was essentially kept a journal starting in 613 00:37:10,920 --> 00:37:14,640 Speaker 1: his twenty twelve campaign, and Romney didn't realize some of 614 00:37:14,680 --> 00:37:17,440 Speaker 1: the things he wrote down and he gets just handed 615 00:37:17,480 --> 00:37:19,440 Speaker 1: it all to the author, Mackay Coppins, and it was 616 00:37:20,560 --> 00:37:22,600 Speaker 1: some of the most richest part of the book where 617 00:37:22,680 --> 00:37:24,960 Speaker 1: the you know, you said you wrote this down and 618 00:37:25,080 --> 00:37:27,880 Speaker 1: he's like, I did. I can't believe I was that 619 00:37:28,040 --> 00:37:30,200 Speaker 1: honest about it or something like that, Like it was 620 00:37:30,440 --> 00:37:33,480 Speaker 1: very unvarnished and it was it really just added to things. 621 00:37:33,880 --> 00:37:37,480 Speaker 1: So I'm curious how often was she surprised by what 622 00:37:37,800 --> 00:37:40,600 Speaker 1: she confessed essentially in those audio diaries. 623 00:37:42,400 --> 00:37:44,719 Speaker 3: It feels like it was less about her being surprised 624 00:37:45,000 --> 00:37:50,000 Speaker 3: in the confessions as realizing she had no idea what 625 00:37:50,200 --> 00:37:51,840 Speaker 3: she was in the middle of at the time. You 626 00:37:51,920 --> 00:37:54,600 Speaker 3: know that reflection. You hear it in the film in 627 00:37:54,640 --> 00:37:56,759 Speaker 3: the beginning of COVID and she just has to stop that. 628 00:37:56,920 --> 00:37:58,719 Speaker 3: She stops the tape and she's like, oh my gosh, 629 00:37:58,760 --> 00:38:01,480 Speaker 3: I just feel so sorry for myself. I didn't know 630 00:38:01,600 --> 00:38:05,600 Speaker 3: what was coming. And I think those moments of like 631 00:38:05,719 --> 00:38:12,759 Speaker 3: real time reflection are so powerful spec history, you know, 632 00:38:14,120 --> 00:38:16,320 Speaker 3: And so yeah, I think that's a real highlight of 633 00:38:16,360 --> 00:38:18,239 Speaker 3: the film, And certainly for Lindsay and I there was 634 00:38:18,360 --> 00:38:20,840 Speaker 3: so much rich material in that space it was difficult 635 00:38:20,880 --> 00:38:21,960 Speaker 3: to choose what we kept. 636 00:38:22,239 --> 00:38:25,960 Speaker 1: Well, I want to talk about that, Michelle, which is, look, 637 00:38:26,640 --> 00:38:31,120 Speaker 1: she had two gigantic stories that happened on her watch, 638 00:38:31,239 --> 00:38:35,279 Speaker 1: right that that would be could have easily you could 639 00:38:35,280 --> 00:38:37,719 Speaker 1: have just done a COVID doc. You could have just 640 00:38:37,880 --> 00:38:41,879 Speaker 1: done a christ Church attack doc. Right. See if these 641 00:38:42,040 --> 00:38:45,520 Speaker 1: you could have just done her giving having a child 642 00:38:45,719 --> 00:38:47,960 Speaker 1: in office doc. Right. So here you had this rich 643 00:38:48,040 --> 00:38:50,040 Speaker 1: So there was pretty clear you had these three ten 644 00:38:50,120 --> 00:38:53,359 Speaker 1: polls of a story. Well, my goodness, that almost at 645 00:38:53,400 --> 00:38:56,719 Speaker 1: that point I'm wondering, You're like, what did you leave out? 646 00:38:56,840 --> 00:38:59,920 Speaker 1: I'm sure I'm certain you left out a lot because 647 00:39:00,040 --> 00:39:02,000 Speaker 1: these were such a dominant stories that you almost had 648 00:39:02,040 --> 00:39:04,880 Speaker 1: no choice but to frame it around those three pillars. 649 00:39:05,000 --> 00:39:07,640 Speaker 1: Is you know if I were in your shoes? But 650 00:39:07,760 --> 00:39:09,279 Speaker 1: when did you know that was going to be the 651 00:39:09,600 --> 00:39:10,440 Speaker 1: three pillars to this? 652 00:39:12,080 --> 00:39:12,279 Speaker 3: Yeah? 653 00:39:13,239 --> 00:39:15,600 Speaker 2: So I think it was important to both of us 654 00:39:15,760 --> 00:39:20,319 Speaker 2: to make this a really kind of immersive and rich 655 00:39:20,560 --> 00:39:24,160 Speaker 2: experience from beginning to end. So you feel like you're 656 00:39:24,520 --> 00:39:25,960 Speaker 2: going on the ride with. 657 00:39:26,120 --> 00:39:28,160 Speaker 1: Her, right. No, I felt like I got two hours 658 00:39:28,200 --> 00:39:29,959 Speaker 1: of her term. No, no, no, there's one hundred percent 659 00:39:30,080 --> 00:39:32,719 Speaker 1: and sort of but there's a part of me that thinks, boy, 660 00:39:32,719 --> 00:39:35,640 Speaker 1: I only got the I only got the most frantic 661 00:39:35,760 --> 00:39:38,120 Speaker 1: moments because you guys had to pick and choose what 662 00:39:38,360 --> 00:39:41,040 Speaker 1: was going to be of I think global interest, right, 663 00:39:41,120 --> 00:39:44,120 Speaker 1: and all three stories are of global interest and New 664 00:39:44,200 --> 00:39:45,680 Speaker 1: Zealand interest exactly. 665 00:39:45,960 --> 00:39:49,000 Speaker 2: Yeah, and that was really important to us. You know, 666 00:39:49,080 --> 00:39:50,800 Speaker 2: we had cuts of the film where there was just 667 00:39:51,480 --> 00:39:54,239 Speaker 2: so much COVID in it, and it's hard to put 668 00:39:54,360 --> 00:39:56,840 Speaker 2: audiences through that, right, nobody really. 669 00:39:56,760 --> 00:40:01,480 Speaker 1: Nobody wants it. Nobody wants to I know, it's a 670 00:40:01,600 --> 00:40:04,520 Speaker 1: societal problem, right, but yeah, the only good news is 671 00:40:04,680 --> 00:40:08,000 Speaker 1: the same thing happened after nineteen seventeen. We're going to 672 00:40:08,080 --> 00:40:11,200 Speaker 1: not talk about this, right, Like, yeah, we were horrible 673 00:40:11,239 --> 00:40:13,759 Speaker 1: to each other. Let's not speak about it ever again, right. 674 00:40:13,920 --> 00:40:16,799 Speaker 2: Yeah. So in the final cut, you know, we were 675 00:40:16,880 --> 00:40:20,800 Speaker 2: able to distill it down to kind of, you know, 676 00:40:21,040 --> 00:40:23,399 Speaker 2: the essence of that story. I mean, we didn't want 677 00:40:23,400 --> 00:40:25,600 Speaker 2: to put the audience through like all the variants and 678 00:40:25,680 --> 00:40:28,120 Speaker 2: all the lockdowns and all that, but it was you 679 00:40:28,239 --> 00:40:33,239 Speaker 2: know that obviously had global significance. The motherhood thread of 680 00:40:33,360 --> 00:40:36,840 Speaker 2: the film was extremely important to us. Michelle and I 681 00:40:37,000 --> 00:40:40,960 Speaker 2: are both working moms, and you know, we saw this 682 00:40:41,160 --> 00:40:45,279 Speaker 2: as very much a personal story and a story about 683 00:40:45,320 --> 00:40:47,640 Speaker 2: a family. I mean, you see in the film how 684 00:40:47,760 --> 00:40:52,279 Speaker 2: supportive Clark her partner is in helping to raise their 685 00:40:52,600 --> 00:40:58,279 Speaker 2: young child, and he's always there to bring me for breastfeeding, 686 00:40:58,360 --> 00:41:00,480 Speaker 2: take her away. I mean, this is what it looks 687 00:41:00,600 --> 00:41:03,279 Speaker 2: like behind the scenes to have a supportive spouse. And 688 00:41:03,400 --> 00:41:05,840 Speaker 2: we wanted to normalize that. We wanted to put that 689 00:41:05,960 --> 00:41:07,880 Speaker 2: out in the world and say this is you know, 690 00:41:08,200 --> 00:41:11,240 Speaker 2: this is women can't do it all. They deserve support, 691 00:41:11,360 --> 00:41:12,800 Speaker 2: and this is what it looks like. 692 00:41:13,000 --> 00:41:14,839 Speaker 1: So this goes to what my wife says this all 693 00:41:14,880 --> 00:41:17,520 Speaker 1: the time when she talks about you know, and I 694 00:41:17,840 --> 00:41:19,799 Speaker 1: don't want to throw shade at ChIL Sandberg, but ChIL 695 00:41:19,840 --> 00:41:21,759 Speaker 1: Sandberg went through this, Hey, you can have it all, 696 00:41:21,840 --> 00:41:25,040 Speaker 1: and it's just like, no, it's the same thing as men. 697 00:41:25,480 --> 00:41:27,920 Speaker 1: A successful man needs to have a successful partner to 698 00:41:28,000 --> 00:41:33,160 Speaker 1: help frankly manage family household. Successful woman needs spouse to 699 00:41:33,280 --> 00:41:36,640 Speaker 1: help manage it. It is. It is always going to 700 00:41:36,719 --> 00:41:39,240 Speaker 1: be a team effort and if you don't have that spouse, 701 00:41:39,360 --> 00:41:40,240 Speaker 1: you're not going to succeed. 702 00:41:40,960 --> 00:41:44,479 Speaker 3: Yeah, yeah, yeah, I think too, Chuckie Wright. The first 703 00:41:44,560 --> 00:41:47,719 Speaker 3: cut was seventeen hours, and then it went to five 704 00:41:47,840 --> 00:41:49,520 Speaker 3: and then to six, and then to three and then 705 00:41:49,560 --> 00:41:52,840 Speaker 3: to four, and that process was, you can imagine, really 706 00:41:52,920 --> 00:41:55,600 Speaker 3: really challenging, and we had to keep sitting back watching 707 00:41:55,680 --> 00:41:58,399 Speaker 3: the whole block and going, you know, the COVID stuff 708 00:41:58,480 --> 00:42:02,240 Speaker 3: is too heavy. I'm exult And so yes, the vaccine 709 00:42:02,800 --> 00:42:06,279 Speaker 3: rollout was interesting, but it doesn't have a place in 710 00:42:06,400 --> 00:42:09,040 Speaker 3: this film because we actually need to move on to 711 00:42:09,080 --> 00:42:12,520 Speaker 3: where our emotional where the emotional journey's going as well, 712 00:42:12,600 --> 00:42:14,799 Speaker 3: And Lindsay and I talked a lot about that, where 713 00:42:14,960 --> 00:42:17,960 Speaker 3: we where do we feel something? Because you're right, we 714 00:42:18,040 --> 00:42:21,600 Speaker 3: could have made an entire film on any one of those. 715 00:42:22,600 --> 00:42:26,120 Speaker 1: What what I especially like? Look, anytime you can feel 716 00:42:28,239 --> 00:42:31,200 Speaker 1: and when you can feel like you can be in 717 00:42:31,520 --> 00:42:35,160 Speaker 1: the story in real time versus having it be retrospective. 718 00:42:35,239 --> 00:42:38,440 Speaker 1: And obviously you guys were able to combine the two ideas. 719 00:42:38,520 --> 00:42:42,719 Speaker 1: But this felt like a documentary that will be just 720 00:42:42,840 --> 00:42:45,120 Speaker 1: as useful forty years from now when people are trying 721 00:42:45,160 --> 00:42:48,440 Speaker 1: to figure out, Hey, what was that like for just 722 00:42:48,719 --> 00:42:50,920 Speaker 1: for just into our durn let's go back, you know, 723 00:42:51,040 --> 00:42:56,800 Speaker 1: and here you have essentially her turn, you know, essentially 724 00:42:57,040 --> 00:42:59,080 Speaker 1: her tenure in a two hour film. 725 00:43:00,719 --> 00:43:03,000 Speaker 2: That's thank you for saying that I mean, that's the 726 00:43:03,080 --> 00:43:06,200 Speaker 2: greatest compliment you can hear as a filmmaker, really, is 727 00:43:06,440 --> 00:43:09,880 Speaker 2: that you're that timeless quality. And it is something we 728 00:43:09,960 --> 00:43:12,239 Speaker 2: talked about and thought about a lot. You know, is 729 00:43:12,520 --> 00:43:14,399 Speaker 2: this is going to be a record of her time 730 00:43:14,440 --> 00:43:18,160 Speaker 2: in office. So I think we felt that responsibility to 731 00:43:18,320 --> 00:43:22,960 Speaker 2: get the story right, to get the tone right, because yeah, 732 00:43:23,080 --> 00:43:26,040 Speaker 2: you do want your films to to kind of live 733 00:43:26,120 --> 00:43:29,960 Speaker 2: on beyond, you know, the moment in time that they capture. 734 00:43:31,840 --> 00:43:35,640 Speaker 3: Felt like a big responsibility to get it right. Knowing 735 00:43:35,840 --> 00:43:39,280 Speaker 3: that this would be an historical document in many ways. 736 00:43:40,080 --> 00:43:42,400 Speaker 1: Is there going to be a companion book that she 737 00:43:42,520 --> 00:43:44,600 Speaker 1: writes based on her diaries? Is there going to be 738 00:43:44,760 --> 00:43:48,360 Speaker 1: more that she decides to do with this? And you know, 739 00:43:48,600 --> 00:43:49,640 Speaker 1: is House just. 740 00:43:49,760 --> 00:43:53,000 Speaker 3: He's actually just released a book this week called A 741 00:43:53,040 --> 00:43:55,759 Speaker 3: Different Kind of Power, and she does go into some 742 00:43:56,000 --> 00:43:56,760 Speaker 3: more of the diary. 743 00:43:57,520 --> 00:44:00,440 Speaker 1: I'm just can I ask, did you guess? I'm sorry, well, 744 00:44:00,480 --> 00:44:03,320 Speaker 1: how coordinated was that her book and this document everything 745 00:44:03,360 --> 00:44:04,040 Speaker 1: at the same time? 746 00:44:05,600 --> 00:44:06,560 Speaker 2: Sensitive topic? 747 00:44:06,760 --> 00:44:07,000 Speaker 3: Todd? 748 00:44:07,640 --> 00:44:12,120 Speaker 1: Okay, Well, fair enough, then you've answered the question, and 749 00:44:12,160 --> 00:44:13,600 Speaker 1: I'm not going to continue down the road. 750 00:44:14,200 --> 00:44:16,200 Speaker 2: I think the projects amplify each other. 751 00:44:16,800 --> 00:44:18,840 Speaker 1: I agree. I think it does too. She did an 752 00:44:18,880 --> 00:44:20,880 Speaker 1: interview with CBS that I was going to ask you about. 753 00:44:21,200 --> 00:44:24,200 Speaker 2: Yeah, I think because people, you know, if they read 754 00:44:24,239 --> 00:44:25,959 Speaker 2: the book, they're going to want to see the movie, 755 00:44:26,000 --> 00:44:27,560 Speaker 2: and if they go to the movie, they're going to 756 00:44:27,600 --> 00:44:30,240 Speaker 2: want to see have a piece of her, and buying 757 00:44:30,320 --> 00:44:33,000 Speaker 2: a book is so I think it's I think it's 758 00:44:33,080 --> 00:44:35,600 Speaker 2: great that we were able to kind of coordinate it 759 00:44:35,800 --> 00:44:39,880 Speaker 2: like this, And we were really lucky that she was 760 00:44:39,920 --> 00:44:43,160 Speaker 2: writing the book during our filming in Boston, because she 761 00:44:43,320 --> 00:44:48,480 Speaker 2: was in this very contemplative place, really still processing everything 762 00:44:48,960 --> 00:44:53,040 Speaker 2: that she went through. So that really lent itself to 763 00:44:53,920 --> 00:44:57,920 Speaker 2: I think, you know, really emotional interviews that are kind 764 00:44:57,960 --> 00:44:58,800 Speaker 2: of woven throughout. 765 00:45:00,000 --> 00:45:02,280 Speaker 1: What's the most hardest thing you left out. 766 00:45:02,160 --> 00:45:09,000 Speaker 3: Michelle, Oh my gosh, probably some of the diary I loved. 767 00:45:09,520 --> 00:45:11,239 Speaker 3: I loved hearing. I would have loved to have sit 768 00:45:11,360 --> 00:45:13,399 Speaker 3: and watched her reflect more. 769 00:45:14,160 --> 00:45:16,560 Speaker 1: Also, I think just if you're saying that, because that 770 00:45:16,560 --> 00:45:19,080 Speaker 1: would have been if you'd ask me, that's what I 771 00:45:19,200 --> 00:45:22,680 Speaker 1: want to do more of. I obsessed over diaries politicians. 772 00:45:23,160 --> 00:45:25,440 Speaker 1: The only like the best book I've ever read that 773 00:45:25,520 --> 00:45:28,000 Speaker 1: Jimmy Carter wrote were his own White House Diaries. It's 774 00:45:28,760 --> 00:45:32,440 Speaker 1: such cheap because because it feels like it's in real time, right, 775 00:45:32,480 --> 00:45:36,000 Speaker 1: it feels like that it's a less varnished and unvarnished, 776 00:45:36,080 --> 00:45:38,160 Speaker 1: less varnished version of event. 777 00:45:38,360 --> 00:45:41,800 Speaker 3: I also love, you know, there was a lot to 778 00:45:41,880 --> 00:45:44,040 Speaker 3: fit in, and there's a pace that you need to 779 00:45:44,680 --> 00:45:48,000 Speaker 3: to hit to get through it and keep the audience 780 00:45:48,040 --> 00:45:50,040 Speaker 3: really engaged. I would have liked to have sat and 781 00:45:50,120 --> 00:45:55,040 Speaker 3: just observed her more, you know, that's my I really. 782 00:45:54,960 --> 00:45:58,000 Speaker 1: Well, you sound like that, then I'm gonna you're you're 783 00:45:58,080 --> 00:46:01,840 Speaker 1: like me. I call myself a political anthropole, just curious 784 00:46:02,000 --> 00:46:04,719 Speaker 1: about a photo group and a politician, and I do 785 00:46:04,840 --> 00:46:08,960 Speaker 1: sort of want to be dispassionate sometimes, you know, you know, 786 00:46:09,080 --> 00:46:11,520 Speaker 1: don't don't interact with the gorillas, you know, type of thing. 787 00:46:11,600 --> 00:46:12,880 Speaker 1: But we show something about. 788 00:46:12,680 --> 00:46:15,600 Speaker 2: What we should say. But you guys have seen our cut. 789 00:46:17,200 --> 00:46:18,279 Speaker 1: There you go, there you go. 790 00:46:19,280 --> 00:46:21,440 Speaker 3: Yeah, I think so. I think I would have just 791 00:46:21,520 --> 00:46:23,480 Speaker 3: liked to sit a bit longer. But that's my own taste, 792 00:46:23,520 --> 00:46:26,360 Speaker 3: and I recognize that not everyone is as deeply curious 793 00:46:26,400 --> 00:46:30,680 Speaker 3: as us, Chuck like, and as documentarians. You know, there 794 00:46:30,800 --> 00:46:33,880 Speaker 3: is I guess an entertainment factor as well, where you've 795 00:46:33,920 --> 00:46:39,400 Speaker 3: got to keep people engaged. Yeah, the massive audience engaged. 796 00:46:39,440 --> 00:46:42,000 Speaker 1: That is one of the things and I'd love and 797 00:46:42,239 --> 00:46:46,759 Speaker 1: this gets it just sort of let me let me 798 00:46:46,840 --> 00:46:49,600 Speaker 1: give a reaction from afar about how New Zealand handled 799 00:46:49,600 --> 00:46:52,800 Speaker 1: it versus the United States. And I'm curious both Lindsay 800 00:46:52,800 --> 00:46:55,400 Speaker 1: and Mitchelle, if you guys, if this was a difficult 801 00:46:55,560 --> 00:46:58,120 Speaker 1: sort of way to put this in, which is particularly 802 00:46:58,200 --> 00:47:01,400 Speaker 1: the COVID stuff. You know, I always felt like island 803 00:47:01,520 --> 00:47:10,040 Speaker 1: nations in general managed this better than larger landlocked countries. 804 00:47:11,920 --> 00:47:15,839 Speaker 1: And I think we saw it even when within the States. Okay, 805 00:47:15,920 --> 00:47:19,040 Speaker 1: our island, we have a our island state, if you will, 806 00:47:19,320 --> 00:47:23,400 Speaker 1: seem to at least have less acrimony. Now, you highlighted 807 00:47:23,480 --> 00:47:26,839 Speaker 1: some of the acrimony in New Zealand, But Lindsey, as 808 00:47:26,880 --> 00:47:31,080 Speaker 1: you sort of observed what was happening in New Zealand 809 00:47:31,200 --> 00:47:33,520 Speaker 1: in real time versus how we were reacting in the 810 00:47:33,600 --> 00:47:36,640 Speaker 1: United States to COVID and the sort of divisiveness that 811 00:47:36,719 --> 00:47:40,920 Speaker 1: we experienced. They certainly, you guys highlighted divisiveness, but was 812 00:47:41,000 --> 00:47:45,600 Speaker 1: it the same or was it more muted? The Lindsay 813 00:47:45,640 --> 00:47:49,640 Speaker 1: start with you, just your observation New Zealand's sort of 814 00:47:49,719 --> 00:47:52,960 Speaker 1: collective ability to deal with COVID versus America's collective ability 815 00:47:52,960 --> 00:47:53,640 Speaker 1: to deal with COVID. 816 00:47:54,400 --> 00:47:57,520 Speaker 2: Well, I think it comes down to leadership. I mean 817 00:47:57,719 --> 00:48:01,400 Speaker 2: this is those are the moments in time when you 818 00:48:01,600 --> 00:48:05,880 Speaker 2: need a strong leader. And I think that there was 819 00:48:06,040 --> 00:48:09,840 Speaker 2: just a lot of confusion in the United States about 820 00:48:09,880 --> 00:48:16,120 Speaker 2: what was happening, and there was a lot of contradiction 821 00:48:16,440 --> 00:48:21,800 Speaker 2: between the administration and the scientists, and so that was 822 00:48:21,960 --> 00:48:27,640 Speaker 2: very confusing and I think terrifying for Americans. You know, 823 00:48:27,719 --> 00:48:31,800 Speaker 2: I've certainly not heard of anybody who's who felt, you know, 824 00:48:32,160 --> 00:48:35,680 Speaker 2: confident in the leadership of our country in that moment 825 00:48:35,840 --> 00:48:40,160 Speaker 2: in time. And so I you know, I thought that 826 00:48:40,680 --> 00:48:46,040 Speaker 2: her putting people and health and science above everything else 827 00:48:46,920 --> 00:48:50,040 Speaker 2: was you know, That's the kind of leadership approach that 828 00:48:50,160 --> 00:48:53,520 Speaker 2: I would love to see more of. I think a 829 00:48:53,560 --> 00:48:55,880 Speaker 2: lot of people are kind of desperate for that. How 830 00:48:55,920 --> 00:49:00,640 Speaker 2: do we save people's lives? And and we we saw her, 831 00:49:01,080 --> 00:49:01,880 Speaker 2: We saw her do that. 832 00:49:04,000 --> 00:49:06,000 Speaker 1: Let me ask you this, Michelle, from your perspective, do 833 00:49:06,040 --> 00:49:08,799 Speaker 1: you feel like this was a divisive COVID divided New 834 00:49:08,880 --> 00:49:11,719 Speaker 1: Zealand the way it clearly divided America or do you 835 00:49:12,160 --> 00:49:14,759 Speaker 1: or do you think it was could do you feel 836 00:49:14,760 --> 00:49:16,800 Speaker 1: like you're comfortable comparing the two reactions. 837 00:49:17,280 --> 00:49:21,600 Speaker 3: No, absolutely, but I think in different times it felt different. 838 00:49:21,719 --> 00:49:24,439 Speaker 3: I mean, we we had this incredible period of nine 839 00:49:24,480 --> 00:49:28,000 Speaker 3: months where we eradicated COVID and we were dancing out 840 00:49:28,040 --> 00:49:30,120 Speaker 3: in the streets. There was parties going on, we had 841 00:49:30,160 --> 00:49:34,000 Speaker 3: guys the only country that was having concerts. But as 842 00:49:34,120 --> 00:49:38,600 Speaker 3: the when COVID came back in again. I've tried to 843 00:49:38,719 --> 00:49:41,399 Speaker 3: really reflect on this a lot, because I don't quite 844 00:49:41,480 --> 00:49:45,680 Speaker 3: understand why people got so angry here and there was 845 00:49:45,760 --> 00:49:49,400 Speaker 3: so much blame on the governments and lockdowns, and I 846 00:49:49,440 --> 00:49:51,440 Speaker 3: think I feel this in other cities you go to. 847 00:49:51,560 --> 00:49:53,080 Speaker 3: You know, if you go to Melbourne, they're like, we 848 00:49:53,160 --> 00:49:54,760 Speaker 3: had the worst lockdowns ever, at which. 849 00:49:54,640 --> 00:49:57,360 Speaker 1: They did everybody. That's what I was starting to like, 850 00:49:57,440 --> 00:49:57,680 Speaker 1: we had. 851 00:49:57,640 --> 00:50:00,120 Speaker 3: The worst lockdowns ever. And then London, you know, New 852 00:50:00,200 --> 00:50:02,600 Speaker 3: Zealanders go to London, They're like, did you have lockdowns too? 853 00:50:02,640 --> 00:50:03,759 Speaker 2: I thought it was only asking you. 854 00:50:04,640 --> 00:50:07,640 Speaker 3: Somehow we all got very siloed and very angry, and 855 00:50:08,760 --> 00:50:12,359 Speaker 3: it was extremely difficult, and I think what we saw 856 00:50:12,520 --> 00:50:16,200 Speaker 3: is people desperately wanting to point their frustration and hurt 857 00:50:16,280 --> 00:50:21,120 Speaker 3: and pain at someone and something, and in our case, 858 00:50:21,440 --> 00:50:23,960 Speaker 3: by the time those next lockdowns came, people wanted to 859 00:50:24,040 --> 00:50:26,520 Speaker 3: point at it, at the government and just center. You 860 00:50:26,600 --> 00:50:30,160 Speaker 3: still hear people saying, you know, just Sender caused an 861 00:50:30,280 --> 00:50:34,320 Speaker 3: economic crash in our economy and inflation. And it's funny 862 00:50:34,320 --> 00:50:37,160 Speaker 3: because I think, well, globally, we all had inflation, we 863 00:50:37,239 --> 00:50:41,160 Speaker 3: all had economic trauma. I don't know how you could 864 00:50:41,160 --> 00:50:43,640 Speaker 3: point it at a specific person, but I think that's 865 00:50:43,760 --> 00:50:46,160 Speaker 3: a sign of the times and the insular nature and 866 00:50:46,200 --> 00:50:49,160 Speaker 3: the silos that we sit in the echo chambers that 867 00:50:49,840 --> 00:50:52,400 Speaker 3: just hear one narrative, which is New Zealand was the 868 00:50:52,480 --> 00:50:53,000 Speaker 3: worst ever. 869 00:50:53,200 --> 00:50:55,839 Speaker 1: You know, well, and that's the thing, lindsay. And I'd 870 00:50:55,880 --> 00:50:57,880 Speaker 1: look at this and I thought it then and I 871 00:50:58,000 --> 00:51:00,319 Speaker 1: still think it now. It's like, oh please, I said. 872 00:51:00,360 --> 00:51:02,719 Speaker 1: It's so you guys were such more of a cooperative 873 00:51:02,760 --> 00:51:05,640 Speaker 1: populis than we like. I mean, I you know, and 874 00:51:05,760 --> 00:51:08,960 Speaker 1: I wonder if this is everybody. But but I'm starting 875 00:51:09,080 --> 00:51:13,040 Speaker 1: to start too, and we maybe we're starting to put 876 00:51:13,080 --> 00:51:15,399 Speaker 1: together a doc that we all need to see, which 877 00:51:15,480 --> 00:51:18,840 Speaker 1: is how we all ended up with a similar experience, 878 00:51:18,960 --> 00:51:22,840 Speaker 1: even though we actually did have different ways leaders handle it. 879 00:51:22,920 --> 00:51:27,240 Speaker 1: But we all we all we all thought our country's 880 00:51:27,280 --> 00:51:30,640 Speaker 1: response was the worst weird for or another. 881 00:51:31,080 --> 00:51:35,520 Speaker 2: I don't think many politicians got away unscathed from from COVID. 882 00:51:35,640 --> 00:51:38,279 Speaker 2: I mean, it's a that's a tough hands. 883 00:51:38,440 --> 00:51:40,800 Speaker 1: Public health is tough, right, And you know, what is 884 00:51:41,239 --> 00:51:43,719 Speaker 1: the whole role of government and a democracy. How much 885 00:51:43,800 --> 00:51:45,960 Speaker 1: do you is the individual versus the collective? 886 00:51:46,480 --> 00:51:49,120 Speaker 2: Yeah? And listen, when I saw the footage of the 887 00:51:49,160 --> 00:51:54,360 Speaker 2: Trump flags on the lawn of Parliament outside in Wellington, 888 00:51:54,440 --> 00:51:59,960 Speaker 2: New Zealand, I couldn't believe it. But upon closer examining, 889 00:52:00,400 --> 00:52:04,000 Speaker 2: you can believe it because this you know, there was 890 00:52:04,080 --> 00:52:08,720 Speaker 2: a lot of disinformation being pumped into the New Zealand public, 891 00:52:08,800 --> 00:52:12,759 Speaker 2: which we touch on briefly in the film. You know, 892 00:52:13,000 --> 00:52:17,480 Speaker 2: a lot of anti vax sentiment and anger, but it 893 00:52:17,719 --> 00:52:21,240 Speaker 2: was based on you know, for instance, people were upset 894 00:52:21,400 --> 00:52:26,200 Speaker 2: about the mandates, but there were no mandates to vaccinate children, 895 00:52:26,400 --> 00:52:29,759 Speaker 2: yet those signs were everywhere, and so there was a 896 00:52:29,840 --> 00:52:36,239 Speaker 2: disconnect between reality and you know, and what was being 897 00:52:36,520 --> 00:52:39,520 Speaker 2: kind of fed to the New Zealand public. And I think, 898 00:52:39,640 --> 00:52:42,160 Speaker 2: you know, we're seeing that everywhere. We're seeing that kind 899 00:52:42,320 --> 00:52:47,800 Speaker 2: of assault on you know, democracies and this kind of 900 00:52:47,920 --> 00:52:52,120 Speaker 2: lack of trust in institutions and expertise. And that's not 901 00:52:52,600 --> 00:52:55,000 Speaker 2: just a New Zealand problem. I mean that's everywhere. 902 00:52:55,840 --> 00:52:59,000 Speaker 1: Michelle would how would you describe the anti vax community 903 00:52:59,080 --> 00:53:03,879 Speaker 1: pre COVID New Zealand? How big? How small? How Yeah? 904 00:53:04,000 --> 00:53:05,160 Speaker 1: How much did you ever hear about that? 905 00:53:05,239 --> 00:53:10,240 Speaker 3: I would have said very significant, never heard really Obviously, 906 00:53:10,280 --> 00:53:13,360 Speaker 3: there's always communities that have your opinion on vaccinations. But 907 00:53:14,040 --> 00:53:18,200 Speaker 3: it was funny because there's so many occupations that require 908 00:53:18,320 --> 00:53:23,839 Speaker 3: vaccinations there. People vaccinate their kids without any concern. 909 00:53:24,239 --> 00:53:27,239 Speaker 1: Being an island nation. Being an island nation, there's usually 910 00:53:27,239 --> 00:53:29,440 Speaker 1: a little bit more emphasis on making sure you're up 911 00:53:29,480 --> 00:53:31,760 Speaker 1: to date with all your you know, if you're getting 912 00:53:31,800 --> 00:53:34,000 Speaker 1: that leaving the country, don't bring back yellow fever, don't 913 00:53:34,000 --> 00:53:34,919 Speaker 1: bring back these things. 914 00:53:35,160 --> 00:53:37,640 Speaker 3: Well, I mean there are so many vaccinations I know, 915 00:53:37,840 --> 00:53:40,759 Speaker 3: with you know, like an HPV vaccination, every how much 916 00:53:40,840 --> 00:53:42,719 Speaker 3: is their kids off to get that done? So it 917 00:53:42,840 --> 00:53:48,839 Speaker 3: was really unusual to have this huge revolt against vaccinations 918 00:53:49,200 --> 00:53:52,680 Speaker 3: and this idea of vaccine mandates. I was living in 919 00:53:52,719 --> 00:53:55,640 Speaker 3: the US during the beginning of COVID and going backwards 920 00:53:55,680 --> 00:53:57,839 Speaker 3: influence as well, and we had a passport we had 921 00:53:57,840 --> 00:53:59,600 Speaker 3: to show that we were vaccinated, and yet here in 922 00:53:59,640 --> 00:54:01,800 Speaker 3: New zeal And people were saying, how could they do this. 923 00:54:01,920 --> 00:54:03,920 Speaker 3: We're the only place in the world that has this. 924 00:54:04,560 --> 00:54:07,120 Speaker 3: And you could stand to somebody and say, no, that's 925 00:54:07,280 --> 00:54:10,800 Speaker 3: not true. I was just in America and they're like, 926 00:54:10,920 --> 00:54:12,200 Speaker 3: you're lying. There's just this. 927 00:54:12,400 --> 00:54:15,600 Speaker 1: Australia was doing the same thing, right exactly, get America 928 00:54:16,239 --> 00:54:18,560 Speaker 1: literally right across the water there, right. 929 00:54:19,360 --> 00:54:21,120 Speaker 3: But like we say, people don't want to hear it. 930 00:54:22,239 --> 00:54:26,719 Speaker 3: There's just this. It's so difficult to find truth now. 931 00:54:26,840 --> 00:54:29,600 Speaker 3: There's like Lendsing says, there's so much distress everywhere. And 932 00:54:30,719 --> 00:54:33,160 Speaker 3: I even remember just understanding and talking to people to 933 00:54:33,320 --> 00:54:37,200 Speaker 3: their face we are not vaccinating mandating children's vaccinations and 934 00:54:37,239 --> 00:54:40,759 Speaker 3: they would say, you are lying. What do you say 935 00:54:40,840 --> 00:54:41,000 Speaker 3: to that? 936 00:54:42,360 --> 00:54:47,680 Speaker 1: You know, people just want to believe, you know, is lindsay, 937 00:54:47,719 --> 00:54:50,560 Speaker 1: are we to be so arrogant as to assume we've 938 00:54:50,680 --> 00:54:54,600 Speaker 1: exported this to New Zealand? Or is this just the 939 00:54:54,960 --> 00:54:57,000 Speaker 1: English speaking world is going to do this to itself, 940 00:54:57,040 --> 00:54:59,920 Speaker 1: whether it's the UK, New Zealand, Australia or the United States. 941 00:55:00,920 --> 00:55:05,080 Speaker 2: Well, I think the QAnon movement was particularly you know, 942 00:55:05,400 --> 00:55:09,400 Speaker 2: in full gear at that moment in time. So I 943 00:55:09,520 --> 00:55:11,719 Speaker 2: do think there was a lot of that that we 944 00:55:12,040 --> 00:55:18,320 Speaker 2: exported for sure. And yeah, it's it's it is demoralizing, 945 00:55:18,520 --> 00:55:22,480 Speaker 2: it's it's sad to think that you know that that happened. 946 00:55:22,920 --> 00:55:27,160 Speaker 2: I also, I would love to talk about the misogyny 947 00:55:27,280 --> 00:55:30,040 Speaker 2: as well, that was a part of this backlash. 948 00:55:30,160 --> 00:55:32,960 Speaker 1: I mean you have to wonder men not wanting to 949 00:55:33,040 --> 00:55:34,040 Speaker 1: take orders from a woman. 950 00:55:34,440 --> 00:55:37,960 Speaker 2: Yeah, I mean we have, Yeah, we have a there's 951 00:55:37,960 --> 00:55:42,320 Speaker 2: a voice in the film who you know, accuses, you know, 952 00:55:42,400 --> 00:55:46,160 Speaker 2: accuse somebody screaming from the lawn of Parliament that she 953 00:55:46,680 --> 00:55:48,480 Speaker 2: is what is? 954 00:55:48,600 --> 00:55:49,640 Speaker 3: What did they say? What does he say? 955 00:55:49,680 --> 00:55:51,120 Speaker 2: A woman in a skirt of power? 956 00:55:51,239 --> 00:55:53,239 Speaker 3: Because we're not We're not going to take you know, 957 00:55:53,400 --> 00:55:55,680 Speaker 3: orders from a woman in a skirt on a power trip. 958 00:55:56,080 --> 00:55:58,879 Speaker 2: Right, And and you know, they were hanging nooses from 959 00:55:58,960 --> 00:56:03,600 Speaker 2: the trees down below her office, and there were signs 960 00:56:04,200 --> 00:56:10,440 Speaker 2: portraying her as Hitler. So the animosity and the violence 961 00:56:11,200 --> 00:56:14,840 Speaker 2: directed towards her, I can't help but think that I 962 00:56:14,960 --> 00:56:16,800 Speaker 2: had a lot to do with her being a woman 963 00:56:16,880 --> 00:56:17,239 Speaker 2: as well. 964 00:56:18,360 --> 00:56:21,840 Speaker 3: So's I came from women as well, which is interesting. 965 00:56:22,440 --> 00:56:24,400 Speaker 1: Let's move from one hot topic to another, which is 966 00:56:24,560 --> 00:56:29,720 Speaker 1: a decision on semi automatics. And let me ask you this, Michelle, 967 00:56:29,960 --> 00:56:32,000 Speaker 1: was the backlash worse for COVID or for that? 968 00:56:32,920 --> 00:56:35,640 Speaker 3: Oh no, everybody agreed, like that's just sensible. 969 00:56:36,360 --> 00:56:41,000 Speaker 1: That's amazing, like to the American political mind right that 970 00:56:41,360 --> 00:56:43,120 Speaker 1: you know, because of this country. No matter what I 971 00:56:43,160 --> 00:56:46,320 Speaker 1: actually think, the banning semi automatics would have been worse 972 00:56:46,840 --> 00:56:50,320 Speaker 1: of a response and more divisive at our country than COVID. 973 00:56:51,200 --> 00:56:53,000 Speaker 1: Do you concurrently, yes? 974 00:56:53,840 --> 00:56:56,640 Speaker 2: And I've gotten to know these New Zealanders really well 975 00:56:56,920 --> 00:57:01,399 Speaker 2: and they are very sensible people. But refreshing to see 976 00:57:01,600 --> 00:57:03,400 Speaker 2: that done and done so quickly. 977 00:57:03,840 --> 00:57:05,920 Speaker 3: So that was just done in Australia too. 978 00:57:06,520 --> 00:57:09,400 Speaker 1: Right, No, I know, and the buybacks. No, it's this 979 00:57:09,640 --> 00:57:12,040 Speaker 1: is why I come to the island nation mindset. 980 00:57:12,160 --> 00:57:12,279 Speaker 4: Right. 981 00:57:12,360 --> 00:57:15,920 Speaker 1: I've always believed that when people live on an island. 982 00:57:16,400 --> 00:57:18,560 Speaker 1: I grew up and I grew up in Florida. We 983 00:57:18,680 --> 00:57:20,800 Speaker 1: had the keys, and you even saw it with people 984 00:57:20,880 --> 00:57:23,560 Speaker 1: that live on the keys. Everybody understands that they got 985 00:57:23,600 --> 00:57:25,840 Speaker 1: to look out for somebody. You're not alone when you 986 00:57:25,920 --> 00:57:28,240 Speaker 1: live on an island, even though that's the draw, right, 987 00:57:28,320 --> 00:57:30,240 Speaker 1: you're trying to be a little more isolated, but you 988 00:57:30,320 --> 00:57:32,520 Speaker 1: realize we have to work with each other if we're 989 00:57:32,560 --> 00:57:35,920 Speaker 1: going to keep this island, you know, And that's why 990 00:57:36,120 --> 00:57:38,360 Speaker 1: I guess it is surprising to me that COVID was 991 00:57:38,400 --> 00:57:43,520 Speaker 1: as controversial as it was, considering that the semi automatic 992 00:57:43,600 --> 00:57:44,200 Speaker 1: decision was not. 993 00:57:44,840 --> 00:57:49,440 Speaker 3: Yeah, I mean, I guess the semi automatic debate didn't 994 00:57:49,480 --> 00:57:53,880 Speaker 3: impact every single person's individual life. We don't have people, 995 00:57:54,200 --> 00:57:57,000 Speaker 3: we don't have half the populations with guns in their cupboards, 996 00:57:57,080 --> 00:58:03,080 Speaker 3: so you know, I think it was and as personal interesting. 997 00:58:03,280 --> 00:58:05,400 Speaker 3: You know, we lived in America with my kids and 998 00:58:05,480 --> 00:58:08,080 Speaker 3: when we came back because of COVID, in about forty 999 00:58:08,080 --> 00:58:11,080 Speaker 3: eight hours, one of my kids said, Oh, it's so 1000 00:58:11,240 --> 00:58:13,880 Speaker 3: cool sitting outside and knowing you're not going to get shot. 1001 00:58:14,120 --> 00:58:19,520 Speaker 3: And it was so shocking to me with that. Yeah, 1002 00:58:19,760 --> 00:58:22,000 Speaker 3: while we were living in New York that that was 1003 00:58:22,080 --> 00:58:24,360 Speaker 3: just an undercurrent that was sitting there. So I think 1004 00:58:24,360 --> 00:58:28,000 Speaker 3: if you ask most Americans like, does this make sense 1005 00:58:28,800 --> 00:58:31,520 Speaker 3: if you get if you take away the whole my rights, 1006 00:58:31,600 --> 00:58:35,880 Speaker 3: and it just makes sense like those those those. 1007 00:58:35,760 --> 00:58:38,600 Speaker 1: We put it in our constitution and you didn't, right, Like, 1008 00:58:38,760 --> 00:58:41,760 Speaker 1: it's ultimately, why did Australia pull it off? It wasn't 1009 00:58:41,800 --> 00:58:44,240 Speaker 1: in their constitution, right, And how did you guys pull 1010 00:58:44,240 --> 00:58:45,800 Speaker 1: it off? Not in your constitution right? 1011 00:58:48,600 --> 00:58:50,960 Speaker 3: Yeah, the right to bear arms is different from sembia 1012 00:58:51,000 --> 00:58:53,480 Speaker 3: automatic weapons. And you know, we could talk about this 1013 00:58:53,600 --> 00:58:54,000 Speaker 3: for hours. 1014 00:58:54,160 --> 00:58:57,560 Speaker 1: Oh I know, trust me, but it is. I mean, 1015 00:58:57,680 --> 00:59:02,280 Speaker 1: Lindsay would It's just fascinating. I'm sure as somebody you know, 1016 00:59:04,840 --> 00:59:08,480 Speaker 1: being giving helping with the American perspective here, that that was. 1017 00:59:08,760 --> 00:59:11,080 Speaker 1: You know, I just found that it was the you 1018 00:59:11,120 --> 00:59:13,480 Speaker 1: would have if you asked an American of those three 1019 00:59:13,560 --> 00:59:16,360 Speaker 1: things that happened, you know, being you know, giving birth 1020 00:59:16,440 --> 00:59:18,880 Speaker 1: and office all this stuff, they would have assumed that 1021 00:59:18,960 --> 00:59:21,440 Speaker 1: the semi automatic decision was the most controversial thing she 1022 00:59:21,520 --> 00:59:22,080 Speaker 1: did in office. 1023 00:59:22,440 --> 00:59:26,840 Speaker 2: Yeah, yeah, certainly from from an American perspective. Definitely. 1024 00:59:29,560 --> 00:59:31,560 Speaker 1: Michelle, what'd you make of her saying she's never going 1025 00:59:31,600 --> 00:59:34,800 Speaker 1: to go into politics again? That was the headline of 1026 00:59:34,920 --> 00:59:37,840 Speaker 1: this interview that she just gave to a friend of 1027 00:59:37,840 --> 00:59:41,920 Speaker 1: mine over at CBS, Robert Costa. And you know, I 1028 00:59:42,880 --> 00:59:46,360 Speaker 1: she seems awfully young to say to rule out political 1029 00:59:46,440 --> 00:59:47,760 Speaker 1: life again. What did you make of that? 1030 00:59:49,520 --> 00:59:52,120 Speaker 3: You know, I think she there is so much she 1031 00:59:52,200 --> 00:59:58,120 Speaker 3: can achieve outside of politics. Specifically, she is incredibly driven 1032 00:59:58,200 --> 01:00:00,600 Speaker 3: to make a difference to people in play, and she's 1033 01:00:00,680 --> 01:00:04,000 Speaker 3: doing that in all sorts of different ways, whether it's 1034 01:00:04,040 --> 01:00:08,200 Speaker 3: with Prince William and Earthshot or in fellowships. I don't 1035 01:00:08,440 --> 01:00:10,000 Speaker 3: Once you've been prime minister, what do you How do 1036 01:00:10,040 --> 01:00:13,240 Speaker 3: you get back into politics in New Zealand? I think 1037 01:00:13,400 --> 01:00:16,200 Speaker 3: I think that would be an interesting I mean. 1038 01:00:16,240 --> 01:00:20,040 Speaker 1: Well, well, I assume she could become prime minister again 1039 01:00:20,080 --> 01:00:21,840 Speaker 1: if her party begged her to come back. 1040 01:00:23,280 --> 01:00:25,800 Speaker 3: Generally speaking, we don't have Lateis come back in, but 1041 01:00:26,120 --> 01:00:27,320 Speaker 3: there's an exception obviously. 1042 01:00:28,320 --> 01:00:30,760 Speaker 1: Yeah, we do it all that. We more often than 1043 01:00:30,800 --> 01:00:33,000 Speaker 1: you think. The UK, my goodness, they do it quite 1044 01:00:33,000 --> 01:00:35,960 Speaker 1: a bit, right Australia they seem to do it. 1045 01:00:36,280 --> 01:00:39,560 Speaker 2: Uh So it's it's it's hard to hear her say 1046 01:00:39,640 --> 01:00:43,520 Speaker 2: that because she's so good at it. But I also understand, 1047 01:00:43,800 --> 01:00:45,120 Speaker 2: you know where she's coming from. 1048 01:00:45,320 --> 01:00:49,640 Speaker 1: But I remember when she she she lived. When you 1049 01:00:49,760 --> 01:00:53,640 Speaker 1: look at just looking your documentary, right, there's a one 1050 01:00:53,720 --> 01:00:55,720 Speaker 1: hand you're like, yeah, you know, how are you ever 1051 01:00:55,800 --> 01:00:58,360 Speaker 1: going to have another? You know you just you know, 1052 01:00:58,440 --> 01:01:00,400 Speaker 1: you had, you had a crisis, you had everything that 1053 01:01:00,480 --> 01:01:03,000 Speaker 1: comes with being leader of a country. Right, it's always 1054 01:01:03,040 --> 01:01:06,800 Speaker 1: the unexpected that tests you, not what you campaign on, 1055 01:01:07,720 --> 01:01:10,800 Speaker 1: and so I would get it if she said COVID 1056 01:01:10,920 --> 01:01:12,800 Speaker 1: just took it all out of her. I mean, I'll 1057 01:01:12,840 --> 01:01:14,560 Speaker 1: be honest, COVID took a lot out of me as 1058 01:01:14,560 --> 01:01:18,480 Speaker 1: a journalist. And you know, there's a reason I'm sitting 1059 01:01:18,560 --> 01:01:20,840 Speaker 1: here today and not doing the dog and pony show 1060 01:01:20,880 --> 01:01:23,000 Speaker 1: I did for as long as I did. COVID was 1061 01:01:23,160 --> 01:01:23,760 Speaker 1: a big reason. 1062 01:01:24,280 --> 01:01:27,320 Speaker 2: Yeah. Yeah, And her resignation is complicated. I think it 1063 01:01:27,480 --> 01:01:31,600 Speaker 2: was a cumulative effect of all of what she went through. 1064 01:01:32,200 --> 01:01:35,960 Speaker 2: But you know, you feel her and you understand why 1065 01:01:36,320 --> 01:01:39,120 Speaker 2: she stepped aside. I think ultimately she felt it was 1066 01:01:39,320 --> 01:01:42,240 Speaker 2: the best move for the country and for herself, and 1067 01:01:42,520 --> 01:01:46,760 Speaker 2: I think that's an incredibly powerful thing, a powerful decision 1068 01:01:46,800 --> 01:01:48,800 Speaker 2: that she made. But I can't lie that when I 1069 01:01:49,000 --> 01:01:52,520 Speaker 2: heard the news that she was resigning, I felt, you know, 1070 01:01:53,200 --> 01:01:57,200 Speaker 2: I felt kind of heartbroken because we had never seen 1071 01:01:57,240 --> 01:02:01,280 Speaker 2: anybody like her on the world stage and and people 1072 01:02:01,360 --> 01:02:05,160 Speaker 2: are you know, just so desperate for that kind of sensible, 1073 01:02:05,800 --> 01:02:07,560 Speaker 2: compassionate leadership. 1074 01:02:08,680 --> 01:02:10,520 Speaker 1: Michelle. I know that. You know, back in the day, 1075 01:02:10,600 --> 01:02:12,840 Speaker 1: Bill Clint used to be more popular outside of America 1076 01:02:12,920 --> 01:02:16,800 Speaker 1: than in America. How would you say, are during it 1077 01:02:16,920 --> 01:02:19,320 Speaker 1: is she you think she's more popular outside of New 1078 01:02:19,400 --> 01:02:20,240 Speaker 1: Zealand or within the. 1079 01:02:20,280 --> 01:02:25,600 Speaker 3: Country, well just by scale. Yes, outside of the country 1080 01:02:25,680 --> 01:02:29,840 Speaker 3: for sure, there's still a big unfortunate part about population 1081 01:02:30,040 --> 01:02:33,880 Speaker 3: that feels very aggrieved and angry over COVID of agra 1082 01:02:33,880 --> 01:02:39,880 Speaker 3: and resentment towards her over COVID. So I would say, yeah, 1083 01:02:40,000 --> 01:02:43,200 Speaker 3: she's her popularity outside is more reflective of the person 1084 01:02:43,280 --> 01:02:45,000 Speaker 3: that I know. There's a lot of people that love 1085 01:02:45,080 --> 01:02:47,600 Speaker 3: her here too. I mean, I was personally devastated when 1086 01:02:47,640 --> 01:02:50,720 Speaker 3: she stepped down because she was such an important influence 1087 01:02:50,800 --> 01:02:54,440 Speaker 3: in my own career in showing me an example of 1088 01:02:54,520 --> 01:02:57,320 Speaker 3: how you can lead unapologetically as a woman. And I 1089 01:02:57,400 --> 01:02:59,680 Speaker 3: spent a lot of time my time running businesses or 1090 01:02:59,680 --> 01:03:04,040 Speaker 3: as a director trying to emulate masculine traits, and she 1091 01:03:04,200 --> 01:03:07,120 Speaker 3: was the first person that I saw that just turned 1092 01:03:07,200 --> 01:03:09,920 Speaker 3: up exactly as she was unapologetically and lent into those 1093 01:03:10,000 --> 01:03:14,480 Speaker 3: female traits. And so I was personally really devastated that. 1094 01:03:15,120 --> 01:03:18,280 Speaker 3: I just wish I'd got to see her lead without 1095 01:03:18,360 --> 01:03:20,200 Speaker 3: COVID and without some of those things and see what 1096 01:03:20,240 --> 01:03:23,080 Speaker 3: we could have achieved here, because the trajectory was extraordinary 1097 01:03:23,280 --> 01:03:24,040 Speaker 3: what she was doing. 1098 01:03:24,520 --> 01:03:28,520 Speaker 1: Well, Lindsey, let's let's put let's let's assume there's a 1099 01:03:29,200 --> 01:03:34,960 Speaker 1: thirty two year old state legislature legislator watching this documentary 1100 01:03:36,560 --> 01:03:40,160 Speaker 1: who's got aspirations to be governor or president something like that, 1101 01:03:40,360 --> 01:03:45,360 Speaker 1: one of the two executive positions. What do you hope 1102 01:03:46,680 --> 01:03:50,800 Speaker 1: this young politician takes away from this documentary and from 1103 01:03:50,840 --> 01:03:51,840 Speaker 1: Mardurna's experience. 1104 01:03:52,760 --> 01:03:56,280 Speaker 2: Yeah, I mean to build on what Michelle just said, 1105 01:03:56,560 --> 01:03:59,480 Speaker 2: the fact that she showed up as herself. There was 1106 01:03:59,560 --> 01:04:04,240 Speaker 2: no time I'm for focused groups or any kind of 1107 01:04:05,560 --> 01:04:08,520 Speaker 2: you know, tweaking of who she was because of how 1108 01:04:08,640 --> 01:04:13,800 Speaker 2: she was thrust into this position. And I think that 1109 01:04:14,640 --> 01:04:18,360 Speaker 2: that alone is so powerful that she showed up as herself. 1110 01:04:18,840 --> 01:04:22,160 Speaker 2: She was human, she was a crier, she's a nerd, 1111 01:04:22,440 --> 01:04:25,959 Speaker 2: she's all those things right. And we tend to think, 1112 01:04:26,360 --> 01:04:31,320 Speaker 2: especially of the particular particular female qualities that their liabilities 1113 01:04:31,760 --> 01:04:35,080 Speaker 2: in leadership. But they're assets. I think they're assets. I 1114 01:04:35,160 --> 01:04:40,440 Speaker 2: think you can be compassionate and strong, you can be 1115 01:04:40,640 --> 01:04:45,240 Speaker 2: empathetic and have resolved. So I think I would say 1116 01:04:45,280 --> 01:04:48,360 Speaker 2: to that person, show up as yourself, wear your heart 1117 01:04:48,440 --> 01:04:50,960 Speaker 2: on your sleeve. You can still be a great leader. 1118 01:04:52,120 --> 01:04:55,360 Speaker 2: And we hope that the film is really showcasing that 1119 01:04:55,680 --> 01:04:59,400 Speaker 2: in a big way. You know, we want more humanity 1120 01:04:59,560 --> 01:05:00,959 Speaker 2: from our politicians. 1121 01:05:01,600 --> 01:05:05,800 Speaker 1: I hesitate to make this observation as a man, Michelle, 1122 01:05:05,960 --> 01:05:09,880 Speaker 1: so please put me in my place. But I look 1123 01:05:09,960 --> 01:05:14,120 Speaker 1: at her comfort level essentially not shying away from being 1124 01:05:14,240 --> 01:05:18,480 Speaker 1: feminine and being strong everything that Lindsay just said. And 1125 01:05:18,600 --> 01:05:22,840 Speaker 1: I'm thinking, well, she's millennial. And I look at Kamala 1126 01:05:22,880 --> 01:05:26,560 Speaker 1: Harris and Hillary Clinton, who clearly I think we're over consulted, 1127 01:05:27,000 --> 01:05:29,240 Speaker 1: had too many people whispering in their ear. No, no, no, no, 1128 01:05:29,400 --> 01:05:31,120 Speaker 1: the first female commander in chief's got to be this 1129 01:05:31,320 --> 01:05:32,560 Speaker 1: or got to be that, or got to be this. 1130 01:05:32,800 --> 01:05:35,640 Speaker 1: And you know, I can always tell when there's a 1131 01:05:35,680 --> 01:05:39,280 Speaker 1: lot of people in the ear of a politician. But 1132 01:05:39,680 --> 01:05:41,720 Speaker 1: Kamala Harris is older than I am, Hillary Clinton is 1133 01:05:41,720 --> 01:05:44,440 Speaker 1: older than I am. Our Deern is younger than I am. 1134 01:05:44,600 --> 01:05:47,640 Speaker 1: And I do feel like millennial women are like, no, no, no, no, 1135 01:05:48,400 --> 01:05:51,480 Speaker 1: it's not just equal access. We're there, right, I think 1136 01:05:51,640 --> 01:05:54,000 Speaker 1: gen X I'd like to think we were raised. Yes, 1137 01:05:54,800 --> 01:05:58,360 Speaker 1: we're all equal, but there's been a butt right, you know, 1138 01:05:58,440 --> 01:06:01,720 Speaker 1: there's no doubt there's been a butt with with gen X. 1139 01:06:03,560 --> 01:06:05,040 Speaker 1: How much do you think the fact that she was 1140 01:06:05,160 --> 01:06:10,320 Speaker 1: a millennial younger. That made her essentially say, I am 1141 01:06:10,400 --> 01:06:12,640 Speaker 1: who I am. I'm not going to try to be 1142 01:06:14,520 --> 01:06:17,160 Speaker 1: do a man's version of what a female leader should 1143 01:06:17,200 --> 01:06:17,440 Speaker 1: look like. 1144 01:06:19,160 --> 01:06:21,000 Speaker 3: You know, I haven't actually thought of that, so thank 1145 01:06:21,040 --> 01:06:24,520 Speaker 3: you for bringing that up. I imagine there is a 1146 01:06:24,560 --> 01:06:26,880 Speaker 3: part of it, right because women have really had equal 1147 01:06:26,960 --> 01:06:29,600 Speaker 3: rights for such a short time. We've had one generation 1148 01:06:29,720 --> 01:06:31,840 Speaker 3: of women working and trying to do everything, and I 1149 01:06:31,920 --> 01:06:34,880 Speaker 3: think she's at the younger end of that, so perhaps 1150 01:06:34,960 --> 01:06:37,320 Speaker 3: there's more comfort with just turning up as you are. 1151 01:06:38,400 --> 01:06:41,360 Speaker 3: I hope that's the case. I still see women in 1152 01:06:41,520 --> 01:06:45,040 Speaker 3: her generation thinking they need to, you know, use force, 1153 01:06:45,200 --> 01:06:46,480 Speaker 3: to be to be. 1154 01:06:46,840 --> 01:06:49,720 Speaker 1: Don't show emotion, right, be loud, right, yeah, you know. 1155 01:06:49,840 --> 01:06:54,840 Speaker 3: I mean we still reward force in leadership, you know, 1156 01:06:55,080 --> 01:06:56,000 Speaker 3: over empathy. 1157 01:06:56,080 --> 01:06:56,320 Speaker 2: For sure. 1158 01:06:56,320 --> 01:06:59,240 Speaker 3: It's still seen as a weakness. I mean we've been 1159 01:06:59,280 --> 01:07:03,400 Speaker 3: asked the question and you know, like can you be 1160 01:07:03,640 --> 01:07:06,400 Speaker 3: empathetic and still get stuff done? And it's like WHOA. 1161 01:07:06,880 --> 01:07:10,120 Speaker 3: The fact that that's even a question is sort of 1162 01:07:10,120 --> 01:07:10,720 Speaker 3: a sign. 1163 01:07:10,520 --> 01:07:12,040 Speaker 1: Of I thought it the only way to get anything 1164 01:07:12,080 --> 01:07:14,000 Speaker 1: done was to be empathetic. That's how you get people 1165 01:07:14,080 --> 01:07:17,000 Speaker 1: to do stuff that that they don't want to do sometimes. 1166 01:07:17,320 --> 01:07:20,080 Speaker 3: You know, that's that's not always reflected in our leadership 1167 01:07:20,120 --> 01:07:23,960 Speaker 3: around us. So his hoping the next generation generation of 1168 01:07:24,040 --> 01:07:26,640 Speaker 3: women lean into that. And I really, Lindsay and I 1169 01:07:26,720 --> 01:07:29,000 Speaker 3: talk about this all the time. What a gift it 1170 01:07:29,120 --> 01:07:31,480 Speaker 3: is to work on a project that might inspire the 1171 01:07:31,560 --> 01:07:34,360 Speaker 3: next generation of women who don't look like the typical 1172 01:07:34,560 --> 01:07:36,400 Speaker 3: a you know, a type leadership to. 1173 01:07:36,440 --> 01:07:36,800 Speaker 2: Have it go. 1174 01:07:37,600 --> 01:07:40,440 Speaker 1: That's what That's what I was took away from there. 1175 01:07:41,000 --> 01:07:43,400 Speaker 1: I would hope many young women would take away from 1176 01:07:43,440 --> 01:07:46,040 Speaker 1: this that this is a this is a great role 1177 01:07:46,120 --> 01:07:50,680 Speaker 1: model type of type of documentary. But Lindsay, I'd give 1178 01:07:50,720 --> 01:07:53,040 Speaker 1: you two cents Towagh and and how I just worded that, 1179 01:07:53,280 --> 01:07:55,800 Speaker 1: I mean, how much do you think are durned just 1180 01:07:56,000 --> 01:08:01,640 Speaker 1: generational comfort? She's a millennial, and you know versus what 1181 01:08:01,760 --> 01:08:05,480 Speaker 1: we witnessed with Clinton and Harris and how how frankly 1182 01:08:05,520 --> 01:08:07,800 Speaker 1: they had always felt that they were constantly looking over 1183 01:08:07,840 --> 01:08:10,640 Speaker 1: their shoulder to see what other people thought of female leadership. 1184 01:08:11,480 --> 01:08:14,560 Speaker 2: Yeah, I think it's I think it's a good observation. 1185 01:08:14,960 --> 01:08:18,080 Speaker 2: I think there's certainly something to that because we do 1186 01:08:18,320 --> 01:08:23,879 Speaker 2: see such a different approach with those different generations. So certainly. 1187 01:08:23,960 --> 01:08:25,920 Speaker 2: I think that played into it for sure. 1188 01:08:27,000 --> 01:08:31,080 Speaker 1: All Right, what's next? You guys created this, this two 1189 01:08:31,200 --> 01:08:35,439 Speaker 1: country production team co directors. I got to think that 1190 01:08:35,640 --> 01:08:39,200 Speaker 1: you want to work together again? What's what? What have 1191 01:08:39,320 --> 01:08:41,560 Speaker 1: you talked about that and what would that look like 1192 01:08:41,640 --> 01:08:41,880 Speaker 1: if you. 1193 01:08:41,920 --> 01:08:46,720 Speaker 2: Have well Michelle's Michelle runs an incredible company in New 1194 01:08:46,840 --> 01:08:50,120 Speaker 2: Zealand and they have a lot of projects. I'm more 1195 01:08:50,200 --> 01:08:52,800 Speaker 2: independent here in the States, but I would love to 1196 01:08:52,920 --> 01:08:56,040 Speaker 2: work with her again. And I mean, I say this 1197 01:08:56,240 --> 01:08:58,800 Speaker 2: and it sounds kind of corny, but I really came 1198 01:08:58,880 --> 01:09:03,080 Speaker 2: away with a kiw family after this whole experience, a 1199 01:09:03,120 --> 01:09:06,800 Speaker 2: lot of people that I've come to really love. And 1200 01:09:07,200 --> 01:09:09,360 Speaker 2: you know, when you make a film with people your 1201 01:09:09,560 --> 01:09:12,439 Speaker 2: your family for life, kind of stuck with each. 1202 01:09:12,240 --> 01:09:16,320 Speaker 1: Other project like that, you never forget. Yeah. 1203 01:09:16,400 --> 01:09:19,559 Speaker 2: Yeah, So it's right now. We're just taking a deep 1204 01:09:19,680 --> 01:09:23,960 Speaker 2: breath and enjoying, you know, seeing audiences connect with the film. 1205 01:09:25,000 --> 01:09:26,840 Speaker 1: You know, Michelle, I know that you guys are tired 1206 01:09:26,840 --> 01:09:30,080 Speaker 1: of US Americans wanting to become expats in New Zealand. 1207 01:09:30,600 --> 01:09:32,080 Speaker 1: Uh right, you got to pass a law and make 1208 01:09:32,120 --> 01:09:33,160 Speaker 1: it harder for us to buy land. 1209 01:09:33,200 --> 01:09:34,760 Speaker 2: But no trying to buy land. 1210 01:09:34,960 --> 01:09:37,479 Speaker 1: She won't yet you can anymore? 1211 01:09:37,560 --> 01:09:40,360 Speaker 3: Right, Like we know she has a farm though, so 1212 01:09:40,520 --> 01:09:42,519 Speaker 3: she might be I'm looking at I'm looking out on 1213 01:09:42,600 --> 01:09:47,200 Speaker 3: the most beautiful role at the moment, the spaceful all 1214 01:09:47,280 --> 01:09:47,439 Speaker 3: of you. 1215 01:09:50,360 --> 01:09:52,040 Speaker 1: What's next for you, Michelle? What do you got? What 1216 01:09:52,120 --> 01:09:53,760 Speaker 1: do you got in the works that you would share? 1217 01:09:54,240 --> 01:09:55,400 Speaker 2: Yeah, it's really funny. 1218 01:09:55,479 --> 01:09:58,080 Speaker 3: I don't I don't direct too much anymore unless there's 1219 01:09:58,160 --> 01:10:02,120 Speaker 3: stories that I really think can impact. And I'm really 1220 01:10:02,240 --> 01:10:04,479 Speaker 3: drawn to the idea that humans are inherently good and 1221 01:10:04,600 --> 01:10:09,479 Speaker 3: we have been, you know, fed just a constant narrative 1222 01:10:09,560 --> 01:10:11,960 Speaker 3: that your neighbor will turn on you, that our venier 1223 01:10:12,120 --> 01:10:14,599 Speaker 3: is very thin, that the person in the car next 1224 01:10:14,640 --> 01:10:18,000 Speaker 3: to you you shouldn't trust, and I just don't buy that. 1225 01:10:18,479 --> 01:10:22,120 Speaker 3: Rutger Brigman does a whole lot of interesting work, talks 1226 01:10:22,120 --> 01:10:24,040 Speaker 3: about this a lot in his book Human Kind, And 1227 01:10:24,160 --> 01:10:27,080 Speaker 3: I'm really interested in how I can tell stories that 1228 01:10:27,160 --> 01:10:30,840 Speaker 3: bring us together. What that looks like is TBC. But 1229 01:10:31,280 --> 01:10:34,000 Speaker 3: I loved working with Lindsay co. Directing is a gift 1230 01:10:34,080 --> 01:10:38,680 Speaker 3: because different perspectives coming in and fighting for you know, 1231 01:10:38,760 --> 01:10:41,479 Speaker 3: what's really important, and finding those moments where we just 1232 01:10:41,880 --> 01:10:43,720 Speaker 3: both you know, would sit on the couch hangling thing, 1233 01:10:44,600 --> 01:10:49,599 Speaker 3: you know or amazing is an incredible experience. So hopefully 1234 01:10:49,640 --> 01:10:52,160 Speaker 3: we do something together again. But and I hope I 1235 01:10:52,400 --> 01:10:55,320 Speaker 3: have the honor and the and the privilege of telling 1236 01:10:55,400 --> 01:10:57,719 Speaker 3: more stories that help help humanity. 1237 01:10:59,160 --> 01:11:01,200 Speaker 1: I mean we are. It is one of those things 1238 01:11:01,240 --> 01:11:05,160 Speaker 1: where where the media lenses distorted humankind. We are all 1239 01:11:05,280 --> 01:11:06,960 Speaker 1: much better to each other. I always say this. People 1240 01:11:07,000 --> 01:11:10,000 Speaker 1: would never say ninety percent of what they say online 1241 01:11:10,000 --> 01:11:11,960 Speaker 1: if they if they were face to face with somebody. 1242 01:11:12,520 --> 01:11:17,280 Speaker 2: Yeah. Well, and movies, movies are empathy machines. So we 1243 01:11:17,439 --> 01:11:20,559 Speaker 2: hope that this film, you know, not only creates empathy 1244 01:11:20,680 --> 01:11:23,840 Speaker 2: for what Jacinda went through, but just more kindness and 1245 01:11:24,080 --> 01:11:25,360 Speaker 2: patience with each other. 1246 01:11:27,800 --> 01:11:31,000 Speaker 1: All right, lindsay, tell tell me, tell all my listeners 1247 01:11:31,080 --> 01:11:37,880 Speaker 1: and YouTube watchers where AMC theaters? Okay, where else? I mean, 1248 01:11:37,960 --> 01:11:40,280 Speaker 1: we want you to make money. Those AMC theaters got 1249 01:11:40,360 --> 01:11:43,280 Speaker 1: to pay for this production. Get that. Where else can 1250 01:11:43,360 --> 01:11:46,720 Speaker 1: they find it? Streaming services? Where's it going to live? 1251 01:11:47,400 --> 01:11:51,280 Speaker 2: So the film is going to be released Friday, June 1252 01:11:51,400 --> 01:11:57,120 Speaker 2: thirteenth and AMC theaters nationwide in most markets, not every market, 1253 01:11:57,240 --> 01:12:00,000 Speaker 2: but so my I would. 1254 01:12:00,040 --> 01:12:02,160 Speaker 1: Cringer, Oh wait, AMC great means you don't have to 1255 01:12:02,200 --> 01:12:04,479 Speaker 1: go to that weird theater down those road in your 1256 01:12:04,520 --> 01:12:06,320 Speaker 1: community looking for that you know. 1257 01:12:06,800 --> 01:12:10,880 Speaker 2: Doc It's aye there too, It'll okay here too. But 1258 01:12:11,520 --> 01:12:14,439 Speaker 2: this is a really tough time for documentary films, and 1259 01:12:14,640 --> 01:12:18,519 Speaker 2: so more people go out, buy a ticket, go see 1260 01:12:18,640 --> 01:12:22,120 Speaker 2: movies in the theater. I think the better off we 1261 01:12:22,240 --> 01:12:26,560 Speaker 2: all are. We we love that this is a communal experience. 1262 01:12:26,640 --> 01:12:29,640 Speaker 2: I've watched audiences connect with this film on such a 1263 01:12:29,760 --> 01:12:33,519 Speaker 2: deep level and there's nothing like the light's going down 1264 01:12:33,680 --> 01:12:36,760 Speaker 2: and sharing the experience of watching it with a group 1265 01:12:36,840 --> 01:12:39,200 Speaker 2: of people. So please go out and buy a ticket, 1266 01:12:39,320 --> 01:12:42,360 Speaker 2: otherwise it will be coming to HBO and then to 1267 01:12:42,479 --> 01:12:43,439 Speaker 2: CNN as well. 1268 01:12:44,520 --> 01:12:47,720 Speaker 1: Excellent. Well, I will say this, it's unfortunately right. We're 1269 01:12:47,760 --> 01:12:51,080 Speaker 1: in the university recess, if you will for the most 1270 01:12:51,120 --> 01:12:53,479 Speaker 1: of the but I mean I would. I hope every 1271 01:12:54,400 --> 01:12:58,240 Speaker 1: I hope every sort of up and coming female political 1272 01:12:58,479 --> 01:13:00,719 Speaker 1: science major that wants to go out there and change 1273 01:13:00,760 --> 01:13:03,160 Speaker 1: the world. I hope you end up with a big 1274 01:13:03,240 --> 01:13:05,679 Speaker 1: tour of college campuses in the fall with this film, 1275 01:13:05,720 --> 01:13:08,840 Speaker 1: because I see screenings on campuses all over I think 1276 01:13:08,880 --> 01:13:10,479 Speaker 1: would be enormously popular. 1277 01:13:10,960 --> 01:13:15,120 Speaker 3: Oh that's a yeah, that's a great idea anyway, Lindsay, 1278 01:13:15,560 --> 01:13:18,160 Speaker 3: to bring your sons as well. This is a film 1279 01:13:18,240 --> 01:13:22,680 Speaker 3: of course, bring ESSENTI for anyone that doesn't look like 1280 01:13:22,800 --> 01:13:24,240 Speaker 3: typical leadership. 1281 01:13:24,280 --> 01:13:28,320 Speaker 1: Well, look, support A good political leader has to have 1282 01:13:28,400 --> 01:13:32,320 Speaker 1: a good political family that's supportive. Yeah, yeah, of course. 1283 01:13:32,520 --> 01:13:35,320 Speaker 2: But she is an incredible role model and we would 1284 01:13:35,400 --> 01:13:38,080 Speaker 2: love for parents to bring their kids to the movies 1285 01:13:38,120 --> 01:13:38,479 Speaker 2: as well. 1286 01:13:39,240 --> 01:13:43,600 Speaker 1: Excellent, Lindsay, utes Michelle Walsh. This was a pleasure. Congratulations. 1287 01:13:43,680 --> 01:13:46,320 Speaker 1: The documentary is called Prime Prime Minister, and you don't 1288 01:13:46,360 --> 01:13:49,080 Speaker 1: have to be knowledgeable at all about New Zealand politics. 1289 01:13:49,560 --> 01:13:54,479 Speaker 1: This is a story that should will easily resonate for 1290 01:13:54,560 --> 01:13:57,559 Speaker 1: the American political PSYCHEA trustment anyway, Thank you guys. 1291 01:13:58,200 --> 01:13:59,360 Speaker 2: Thanks Joe, I appreciate it. 1292 01:13:59,479 --> 01:14:01,000 Speaker 3: Have a great day, take care. 1293 01:14:09,439 --> 01:14:12,519 Speaker 1: I hope you enjoyed my conversation with Michelle Walsh and 1294 01:14:12,760 --> 01:14:16,439 Speaker 1: Lindsay Oots. I thought it was again. I thought they 1295 01:14:16,960 --> 01:14:19,559 Speaker 1: this is a documentary that is just going to age 1296 01:14:19,840 --> 01:14:25,680 Speaker 1: so well, just stylistically. If you want to make a 1297 01:14:25,760 --> 01:14:28,639 Speaker 1: documentary and you don't want your documentary to just look 1298 01:14:28,760 --> 01:14:32,000 Speaker 1: like talking heads into a camera, take a look at 1299 01:14:32,040 --> 01:14:35,160 Speaker 1: what Prime Minister did. All right, let's do a little 1300 01:14:35,200 --> 01:14:38,120 Speaker 1: bit of ask Chuck. All right, I'm going to do 1301 01:14:38,240 --> 01:14:43,479 Speaker 1: two questions and save some of the others for other shows. 1302 01:14:43,560 --> 01:14:47,400 Speaker 1: This comes from a YouTuber at Henry James Q six t, 1303 01:14:48,920 --> 01:14:52,080 Speaker 1: and he writes, in nineteen fifty seven, Arkansas Governor Orville 1304 01:14:52,120 --> 01:14:54,639 Speaker 1: Famous called out the state's National Guard to prevent black 1305 01:14:54,720 --> 01:14:57,599 Speaker 1: children from attending all white schools, despite two Supreme Court 1306 01:14:57,640 --> 01:15:01,120 Speaker 1: decisions ordering an end to segregation. As an Eisenhower couldn't 1307 01:15:01,160 --> 01:15:03,080 Speaker 1: call out the state's National Guard, but once a governor 1308 01:15:03,120 --> 01:15:06,280 Speaker 1: had done so, Eisenhower could federalize those troops, which he 1309 01:15:06,360 --> 01:15:08,920 Speaker 1: promptly did. I knew he had a lot more about 1310 01:15:09,000 --> 01:15:12,439 Speaker 1: troop deployment regulations than Famous. Yes he did. Then Ike 1311 01:15:12,560 --> 01:15:14,840 Speaker 1: ordered the federalized National Guard to return to barracks and 1312 01:15:14,920 --> 01:15:17,840 Speaker 1: also ordered the hundred and first Airborne to enforce the 1313 01:15:17,880 --> 01:15:21,280 Speaker 1: Supreme Court orders desegregating Arkansas schools. Of course, Ike was 1314 01:15:21,320 --> 01:15:22,720 Speaker 1: on the side of the Angels in this case, but 1315 01:15:22,800 --> 01:15:25,479 Speaker 1: the white folks in Arkansas never forgave the President for 1316 01:15:25,560 --> 01:15:27,840 Speaker 1: ordering the troops into Little Rock. My guess is people 1317 01:15:27,920 --> 01:15:30,439 Speaker 1: of California won't be in a forgiving mood either. I 1318 01:15:30,479 --> 01:15:32,920 Speaker 1: don't know how Trump can federalize the state's national guard 1319 01:15:32,960 --> 01:15:35,720 Speaker 1: that hasn't previously been called to active duty by the 1320 01:15:35,760 --> 01:15:38,320 Speaker 1: state's governor. Has the law changed? Well, no, Now I 1321 01:15:38,400 --> 01:15:41,960 Speaker 1: think you understand the basis of their lawsuit, and it 1322 01:15:42,080 --> 01:15:47,000 Speaker 1: is not clear we don't. What's interesting here is is 1323 01:15:47,479 --> 01:15:52,160 Speaker 1: I have a sneaky suspicion that both the Marines haven't 1324 01:15:52,200 --> 01:15:56,360 Speaker 1: done anything yet, so they've not violated any laws. The 1325 01:15:56,479 --> 01:15:59,240 Speaker 1: president sort of right now it's more of a cosmetic 1326 01:16:00,320 --> 01:16:02,760 Speaker 1: call up and the National Guard appears to be a 1327 01:16:02,800 --> 01:16:07,559 Speaker 1: bit cosmetic because they haven't had him, they haven't engaged yet, 1328 01:16:09,640 --> 01:16:12,320 Speaker 1: and I think that that could be how they have 1329 01:16:13,040 --> 01:16:17,440 Speaker 1: they avoid any bad court rulings because they don't actually 1330 01:16:17,720 --> 01:16:22,639 Speaker 1: engage in the unconstitutional behavior. They come up to the line, 1331 01:16:22,800 --> 01:16:26,439 Speaker 1: but they don't quite get there. So look, I mean, 1332 01:16:26,479 --> 01:16:29,320 Speaker 1: I think this is this anyway you you bring up 1333 01:16:29,360 --> 01:16:31,360 Speaker 1: a fair point, and this is why it's such an 1334 01:16:31,439 --> 01:16:38,880 Speaker 1: unusual case. Obviously, considering that National Guard troops were used 1335 01:16:38,920 --> 01:16:41,519 Speaker 1: for reserve duty in the Iraq and Afghanistan wars. The 1336 01:16:41,560 --> 01:16:44,800 Speaker 1: federal uh federal government does have a lot does does 1337 01:16:44,880 --> 01:16:46,519 Speaker 1: have quite a bit of say so here. But I 1338 01:16:46,840 --> 01:16:50,599 Speaker 1: think this is I hope that the in some ways 1339 01:16:50,760 --> 01:16:53,840 Speaker 1: just to get some certainty on this issue. I hope 1340 01:16:53,880 --> 01:16:56,559 Speaker 1: this California lawsuit makes it all the way Supreme Court, 1341 01:16:56,680 --> 01:17:00,240 Speaker 1: we get we get an answer to your court question. 1342 01:17:00,360 --> 01:17:05,599 Speaker 1: All right, next question, This also comes from a YouTuber 1343 01:17:06,520 --> 01:17:09,920 Speaker 1: zeroed in. Why did having a super plan workout for 1344 01:17:09,960 --> 01:17:12,080 Speaker 1: President Trump and not work for Secretary Clinton and our 1345 01:17:12,080 --> 01:17:16,920 Speaker 1: famous twenty seven point planned speeches. It's an interesting question. 1346 01:17:18,760 --> 01:17:22,439 Speaker 1: I think part of the you know, there's going to 1347 01:17:22,479 --> 01:17:24,400 Speaker 1: be some in the Clinton world that are just going 1348 01:17:24,439 --> 01:17:29,200 Speaker 1: to hate what I'm about to say, but it's down 1349 01:17:29,320 --> 01:17:35,200 Speaker 1: to it is stylistic. What Donald Trump and what Project 1350 01:17:35,240 --> 01:17:37,360 Speaker 1: twenty twenty five was good at is that it was 1351 01:17:37,400 --> 01:17:40,680 Speaker 1: a quick description. You know, it was a it was 1352 01:17:40,720 --> 01:17:43,000 Speaker 1: a straightforward, you know, here's what we're going to do. 1353 01:17:44,520 --> 01:17:47,479 Speaker 1: But they focused the focus was the goal, not the 1354 01:17:47,560 --> 01:17:50,519 Speaker 1: focus was the output not the input. You know, we're 1355 01:17:50,560 --> 01:17:54,000 Speaker 1: going to get this done and the ends are going 1356 01:17:54,040 --> 01:18:00,360 Speaker 1: to justify the means. And I think that to the 1357 01:18:00,439 --> 01:18:03,720 Speaker 1: responsible side of Hillary Clinton and her policy team was 1358 01:18:04,400 --> 01:18:06,280 Speaker 1: we've got to prove how we're going to do it, 1359 01:18:06,439 --> 01:18:09,920 Speaker 1: the rationale, not just promise what the output's going to be. 1360 01:18:10,000 --> 01:18:12,720 Speaker 1: We've got to show our work in the input, and 1361 01:18:12,840 --> 01:18:15,320 Speaker 1: I think this is this is the you know, do 1362 01:18:15,400 --> 01:18:19,479 Speaker 1: you you know what is it? You govern in pros 1363 01:18:19,520 --> 01:18:22,320 Speaker 1: and campaign in poetry. Well, it's a form of this, 1364 01:18:22,520 --> 01:18:26,080 Speaker 1: and I think the Democrats didn't do that. They campaigned 1365 01:18:26,120 --> 01:18:29,200 Speaker 1: in pros too much. I think Hillary Clinton campaigned in pros. 1366 01:18:31,760 --> 01:18:34,479 Speaker 1: It's let me give you another way of looking at 1367 01:18:34,520 --> 01:18:38,040 Speaker 1: this again. It's going to be a cheap, stylistic way 1368 01:18:38,080 --> 01:18:39,800 Speaker 1: to look at it, and feel free to just light 1369 01:18:39,920 --> 01:18:43,599 Speaker 1: me up about it. But I think I think you'll 1370 01:18:43,960 --> 01:18:47,519 Speaker 1: unfortunately agree if you look. Just let's just look at 1371 01:18:47,560 --> 01:18:50,959 Speaker 1: the president's going back to nineteen eighty eight, every presidential 1372 01:18:51,040 --> 01:18:54,640 Speaker 1: race going back to nineteen eighty eight, ask yourself, of 1373 01:18:54,760 --> 01:18:58,439 Speaker 1: the two contestants for president start in eighty eight, ninety two, 1374 01:18:58,720 --> 01:19:02,799 Speaker 1: ninety six, which candidate sounded more like a college president 1375 01:19:02,920 --> 01:19:06,160 Speaker 1: and which candidate sounded more like an American? 1376 01:19:09,520 --> 01:19:09,640 Speaker 3: Right? 1377 01:19:09,840 --> 01:19:13,160 Speaker 1: Trump and Harris? You know the answer. Look, one of 1378 01:19:13,240 --> 01:19:16,880 Speaker 1: Joe Biden's advantages is he didn't sound like a college president. 1379 01:19:17,280 --> 01:19:20,799 Speaker 1: He did speak a bit more, a bit more American, 1380 01:19:20,840 --> 01:19:23,679 Speaker 1: as I like to call it. Hillary Clinton, Donald Trump. 1381 01:19:25,280 --> 01:19:28,920 Speaker 1: Clinton was the college president. Mitt Romney Barack Obama. Mett 1382 01:19:29,000 --> 01:19:33,519 Speaker 1: Romney was the guy that sounded like the college president. Look, Obama, 1383 01:19:33,600 --> 01:19:36,240 Speaker 1: McCain is sort of an outlier, right, the two of them. 1384 01:19:36,320 --> 01:19:38,479 Speaker 1: First of all, they also both had net positive ratings, 1385 01:19:39,360 --> 01:19:44,240 Speaker 1: so that fully emit doesn't fit neatly into my rubric, 1386 01:19:44,520 --> 01:19:47,200 Speaker 1: if you will, But I think I do think McCain 1387 01:19:47,200 --> 01:19:50,040 Speaker 1: spoke a little too much Congress at times, and that 1388 01:19:50,160 --> 01:19:57,200 Speaker 1: benefited Obama. Two thousand and four, Kerry Bush. Carrie's the 1389 01:19:57,360 --> 01:20:02,040 Speaker 1: college president Bush speaking like an American right? Two thousand 1390 01:20:02,400 --> 01:20:07,759 Speaker 1: Al goreg George W. Bush. Need I say more? Bill Clinton? 1391 01:20:07,760 --> 01:20:11,160 Speaker 1: George H. W. Bush. Bob Thwle's another one doesn't fit 1392 01:20:11,360 --> 01:20:15,720 Speaker 1: into the rubric. But like John McCain, you know Bill Clinton. Well, 1393 01:20:15,720 --> 01:20:18,280 Speaker 1: I think both of Bob Dole and John McCain spoke 1394 01:20:18,360 --> 01:20:22,200 Speaker 1: to you know, America just as well as Barack Obama 1395 01:20:22,240 --> 01:20:25,280 Speaker 1: and Bill Clinton did. I think in those both of 1396 01:20:25,360 --> 01:20:29,160 Speaker 1: those cases it was the generational divide that advantaged both 1397 01:20:29,200 --> 01:20:32,320 Speaker 1: Clinton and Obama there and disadvantaged both McCain and Toll. 1398 01:20:33,240 --> 01:20:36,160 Speaker 1: But eighty eight it was Ducacas that was more of 1399 01:20:36,160 --> 01:20:38,559 Speaker 1: the college president versus hw Bush, And of course four 1400 01:20:38,640 --> 01:20:40,720 Speaker 1: years later it was hw Bush that came across more 1401 01:20:40,720 --> 01:20:43,160 Speaker 1: as the College president anyway, you see where I'm going there. 1402 01:20:45,120 --> 01:20:47,680 Speaker 1: And hw Bush, you know, a college president's going to 1403 01:20:47,720 --> 01:20:49,280 Speaker 1: have a twenty seven point plan to tell you how 1404 01:20:49,320 --> 01:20:52,120 Speaker 1: they're going to accomplish the feats that they want to accomplish. 1405 01:20:52,960 --> 01:20:55,320 Speaker 1: And Donald Trump and Project twenty twenty five was talking 1406 01:20:55,360 --> 01:20:59,080 Speaker 1: about the feats they'll accomplish, and they in some ways 1407 01:20:59,439 --> 01:21:03,200 Speaker 1: just sort of dismissive of the means, which is very 1408 01:21:03,240 --> 01:21:05,280 Speaker 1: offensive to a lot of people because the means are 1409 01:21:05,360 --> 01:21:07,479 Speaker 1: kind of ugly. We're seeing some ugly means right now. 1410 01:21:09,560 --> 01:21:12,680 Speaker 1: But if you're asking me why Project twenty twenty five 1411 01:21:12,800 --> 01:21:19,320 Speaker 1: seem to connect oddly and Hillary Clinton's twenty seven point 1412 01:21:19,360 --> 01:21:22,120 Speaker 1: plans didn't land with the same I think it really 1413 01:21:22,240 --> 01:21:26,720 Speaker 1: is an on presentation and how you do it. All right, 1414 01:21:28,200 --> 01:21:31,680 Speaker 1: I'm gonna call it a episode there. Thank you for 1415 01:21:31,760 --> 01:21:33,960 Speaker 1: tuning in. Don't forget to like and to subscribe. Don't 1416 01:21:34,000 --> 01:21:37,240 Speaker 1: forget to take a look at my Steve Bannon interview 1417 01:21:37,400 --> 01:21:43,479 Speaker 1: for a new Sphere terrific. If you're a you consider 1418 01:21:43,520 --> 01:21:47,040 Speaker 1: yourself an elite news junkie, then you should be subscribing 1419 01:21:47,080 --> 01:21:50,519 Speaker 1: to Newsphere right now. If you want to feel like 1420 01:21:50,640 --> 01:21:52,600 Speaker 1: you know what's going on in every hot spot in 1421 01:21:52,680 --> 01:21:53,200 Speaker 1: the world. 1422 01:21:54,160 --> 01:21:56,400 Speaker 4: You need to be subscribing to Newsphere, so I hope 1423 01:21:56,439 --> 01:21:59,000 Speaker 4: you check it out and take a look at it. 1424 01:21:59,520 --> 01:22:02,400 Speaker 4: Other than that, if I can subscribe and I'll see 1425 01:22:02,400 --> 01:22:04,160 Speaker 4: you the next time I update this pod. 1426 01:22:04,400 --> 01:22:05,400 Speaker 1: Until we upload again. 1427 01:22:06,520 --> 01:22:06,560 Speaker 3: M