1 00:00:00,600 --> 00:00:05,680 Speaker 1: Already and this is the Daily This is the Daily OS. Oh, 2 00:00:05,920 --> 00:00:06,920 Speaker 1: now it makes sense. 3 00:00:15,640 --> 00:00:18,320 Speaker 2: Good morning and welcome to the Daily OS. It's Saturday, 4 00:00:18,400 --> 00:00:19,759 Speaker 2: the twenty first of September. 5 00:00:19,880 --> 00:00:23,120 Speaker 1: I'm Zara, I'm Emma, and happy Earth, Wind and Fire. 6 00:00:23,320 --> 00:00:24,400 Speaker 1: September day. 7 00:00:24,680 --> 00:00:27,680 Speaker 2: What a day do you remember? 8 00:00:32,840 --> 00:00:34,400 Speaker 1: It's good news time, Zara. 9 00:00:34,680 --> 00:00:35,440 Speaker 2: I'm excited. 10 00:00:35,600 --> 00:00:39,520 Speaker 1: I am really excited. This first story today has really 11 00:00:39,520 --> 00:00:42,040 Speaker 1: got me going. We're talking Cat of the Year. 12 00:00:42,520 --> 00:00:44,360 Speaker 2: I know, I mean, I think it might be my 13 00:00:44,479 --> 00:00:47,240 Speaker 2: favorite good news story that we've ever done. But I'm 14 00:00:47,280 --> 00:00:48,959 Speaker 2: a cat person and I understand. 15 00:00:49,280 --> 00:00:51,639 Speaker 1: Actually, yes, I never knew that about you. 16 00:00:51,720 --> 00:00:54,160 Speaker 2: Oh that's nicer than most people who say, oh that 17 00:00:54,280 --> 00:00:56,360 Speaker 2: makes sense when they find out that I'm a that 18 00:00:56,480 --> 00:00:59,160 Speaker 2: is a burden. That is what that is. Anyway, turns 19 00:00:59,160 --> 00:01:01,600 Speaker 2: out it's not just me a cat person, because there 20 00:01:01,640 --> 00:01:04,360 Speaker 2: is such thing as Cat of the Year. It's in 21 00:01:04,440 --> 00:01:07,080 Speaker 2: the UK, and this year's Cat of the Year was 22 00:01:07,400 --> 00:01:11,240 Speaker 2: just crowned. It went to a little cat called Marley, 23 00:01:11,480 --> 00:01:14,680 Speaker 2: and Marley lives at a safe house for women who 24 00:01:14,760 --> 00:01:20,119 Speaker 2: have been enslaved, exploited and trafficked. And what Marley does 25 00:01:20,200 --> 00:01:23,880 Speaker 2: at this safe house is really just provide warmth empathy. 26 00:01:24,120 --> 00:01:27,720 Speaker 2: You know, a friend, a little furry friend. So the 27 00:01:27,760 --> 00:01:30,839 Speaker 2: safe house where he lives provides accommodation to one hundred 28 00:01:30,880 --> 00:01:35,720 Speaker 2: and ninety five women and sixteen babies from almost fifty countries. Wow. 29 00:01:35,800 --> 00:01:38,920 Speaker 2: So I mean incredible work that that center is doing 30 00:01:38,959 --> 00:01:41,800 Speaker 2: each and every day. And in a statement ahead of 31 00:01:41,840 --> 00:01:44,959 Speaker 2: Marley's crowning as the UK's top kittie, the head of 32 00:01:44,959 --> 00:01:48,240 Speaker 2: the safe house said, and I quote often Marley placing 33 00:01:48,320 --> 00:01:50,919 Speaker 2: a gentle poor in our guest's legs is the first 34 00:01:51,080 --> 00:01:54,880 Speaker 2: kindness they've experienced in years. He has this incredible gift 35 00:01:54,880 --> 00:02:01,080 Speaker 2: of empathy, knowing instinctively who needs him mally. This natural 36 00:02:01,080 --> 00:02:03,480 Speaker 2: empathy has meant that Marley. I was reading a bit 37 00:02:03,520 --> 00:02:05,920 Speaker 2: about what Marley does with you know, the women that 38 00:02:05,960 --> 00:02:08,280 Speaker 2: come here, and they said, he's been able to build 39 00:02:08,320 --> 00:02:11,359 Speaker 2: a bridge between these women who are so distressed. They're 40 00:02:11,360 --> 00:02:15,080 Speaker 2: experiencing such high levels of distress that sometimes they can't 41 00:02:15,080 --> 00:02:17,840 Speaker 2: even speak. And their staff at the center have said that, 42 00:02:18,160 --> 00:02:21,320 Speaker 2: you know, Maley is often this bridge that connects the 43 00:02:21,360 --> 00:02:23,880 Speaker 2: women to the staff and it takes a bit of time, 44 00:02:24,280 --> 00:02:27,480 Speaker 2: but slowly, through this very friend, they are laying the 45 00:02:27,520 --> 00:02:30,119 Speaker 2: foundations of trust and mutual respects. 46 00:02:30,120 --> 00:02:33,800 Speaker 1: It's so beautiful and anyone who has a pet or 47 00:02:34,120 --> 00:02:37,960 Speaker 1: loves animals will know that feeling of sometimes when you 48 00:02:38,080 --> 00:02:40,960 Speaker 1: just don't have the words, or you're just feeling really low, 49 00:02:41,360 --> 00:02:44,520 Speaker 1: having a little furry friend who just kind of instinctively 50 00:02:44,720 --> 00:02:48,680 Speaker 1: gets you. It's so simple but so meaningful having a 51 00:02:48,760 --> 00:02:49,359 Speaker 1: cat come and. 52 00:02:49,360 --> 00:02:52,120 Speaker 2: Rub up against your legs, especially if you've come from 53 00:02:52,200 --> 00:02:55,480 Speaker 2: an abusive household, or you know, any woman that has 54 00:02:55,520 --> 00:02:58,720 Speaker 2: found themselves there has been through something deeply traumatic, and 55 00:02:58,760 --> 00:03:00,760 Speaker 2: I think to be welcomed by a very friend like 56 00:03:00,800 --> 00:03:03,480 Speaker 2: you say, is just a beautiful, beautiful thing to do. 57 00:03:04,120 --> 00:03:06,919 Speaker 2: If you were wondering about Marley's road to winning, which 58 00:03:06,960 --> 00:03:08,960 Speaker 2: I was, I want to understand, how did Mary get 59 00:03:09,000 --> 00:03:09,320 Speaker 2: to the top? 60 00:03:09,560 --> 00:03:11,760 Speaker 1: Did Marley claw his way to the top. 61 00:03:11,880 --> 00:03:14,200 Speaker 2: Turns out he first had to win the Incredible Cats 62 00:03:14,240 --> 00:03:17,600 Speaker 2: category a lot celebrates cats who's bond with their humans 63 00:03:17,639 --> 00:03:21,000 Speaker 2: inspires extraordinary acts of love. That was a public vote. 64 00:03:21,480 --> 00:03:23,679 Speaker 2: Then he was selected as the National Cat of the 65 00:03:23,760 --> 00:03:26,679 Speaker 2: Year by a panel of celebrity judges. Well, well, well 66 00:03:26,800 --> 00:03:28,080 Speaker 2: any worthy, i'd say. 67 00:03:28,440 --> 00:03:31,840 Speaker 1: And a good lesson for any cat skeptics out there 68 00:03:31,919 --> 00:03:35,920 Speaker 1: that cats really can give a lot bad exactly. Okay, 69 00:03:36,080 --> 00:03:39,640 Speaker 1: So I was not expecting a good news about artificial 70 00:03:39,680 --> 00:03:43,520 Speaker 1: intelligence to pop upsto. It's not very often we hear 71 00:03:43,800 --> 00:03:47,000 Speaker 1: positive spin on AI news. What have you got for 72 00:03:47,120 --> 00:03:47,600 Speaker 1: us today? 73 00:03:48,120 --> 00:03:50,280 Speaker 2: I like that you led with that because that's something 74 00:03:50,400 --> 00:03:52,400 Speaker 2: that I was thinking a lot when I was writing 75 00:03:52,440 --> 00:03:56,160 Speaker 2: this one, because I think so often and rightly so, 76 00:03:56,520 --> 00:03:59,080 Speaker 2: we talk about the downsides of AI that you know, 77 00:03:59,080 --> 00:04:02,760 Speaker 2: it's coming fromut it's transforming everything. You know that human 78 00:04:02,800 --> 00:04:06,440 Speaker 2: interactions are going to be gone, But it's not all 79 00:04:06,640 --> 00:04:08,480 Speaker 2: doom and gloom. There is a lot of that, but 80 00:04:08,520 --> 00:04:11,040 Speaker 2: it's not one hundred percent of what AI is bringing. 81 00:04:11,080 --> 00:04:13,600 Speaker 2: And so I loved this story because I think it 82 00:04:13,760 --> 00:04:16,320 Speaker 2: is exactly what this podcast and what our newsletter is 83 00:04:16,360 --> 00:04:18,640 Speaker 2: trying to do. It's trying to find the bright side 84 00:04:18,920 --> 00:04:21,960 Speaker 2: of any kind of given news story. And so today 85 00:04:22,040 --> 00:04:26,120 Speaker 2: we're talking about a study by researchers from MIT and 86 00:04:26,200 --> 00:04:30,560 Speaker 2: Cornell University that's found that talking to an AI chatbot 87 00:04:30,720 --> 00:04:33,960 Speaker 2: about the conspiracy theory can reduce a person's belief in 88 00:04:34,000 --> 00:04:37,039 Speaker 2: that theory by about twenty percent on average. 89 00:04:37,080 --> 00:04:40,560 Speaker 1: This is so interesting in terms of just being a 90 00:04:40,560 --> 00:04:42,880 Speaker 1: field of research, but these results are massive. 91 00:04:43,240 --> 00:04:45,200 Speaker 2: Yeah, and I think it's interesting. It was done by 92 00:04:45,200 --> 00:04:47,919 Speaker 2: different disciplines and one of them was psychology, and so 93 00:04:48,040 --> 00:04:52,000 Speaker 2: you know, understanding how AI is affecting our psychology. But 94 00:04:52,080 --> 00:04:54,680 Speaker 2: the research said, and I'm quoting here, many people who 95 00:04:54,760 --> 00:04:59,440 Speaker 2: strongly believe in seemingly fact resistant conspiratorial beliefs can change 96 00:04:59,480 --> 00:05:03,119 Speaker 2: their minds when presented with compelling evidence. The study actually 97 00:05:03,120 --> 00:05:06,320 Speaker 2: found that this effect remained two months after the intervention, 98 00:05:06,560 --> 00:05:08,560 Speaker 2: and it even worked for people who they said had 99 00:05:08,600 --> 00:05:11,440 Speaker 2: deeply entrenched beliefs. So it wasn't just people who might 100 00:05:11,480 --> 00:05:13,320 Speaker 2: have been, you know, a bit more open to changing 101 00:05:13,360 --> 00:05:16,600 Speaker 2: their minds. It was working even for these people who 102 00:05:16,680 --> 00:05:20,320 Speaker 2: were really strongly holding on to what they understood about 103 00:05:20,360 --> 00:05:20,839 Speaker 2: the world. 104 00:05:21,000 --> 00:05:24,400 Speaker 1: So stubborn beliefs were able to be affected, and not 105 00:05:24,480 --> 00:05:26,520 Speaker 1: only that, they were able to be affected for the 106 00:05:26,560 --> 00:05:27,680 Speaker 1: long term for good. 107 00:05:27,800 --> 00:05:32,560 Speaker 2: Yeah, and this is specifically about conspiracy theories. So you know, 108 00:05:32,600 --> 00:05:35,600 Speaker 2: people could speak to these chatbots and talk to them 109 00:05:35,600 --> 00:05:38,960 Speaker 2: about the conspiracy theories that they had come across, or 110 00:05:38,960 --> 00:05:42,200 Speaker 2: perhaps that they believed themselves, and this chatbot came back 111 00:05:42,240 --> 00:05:46,000 Speaker 2: with you know, fact based answers that seemingly had a 112 00:05:46,000 --> 00:05:46,720 Speaker 2: really good outcome. 113 00:05:46,880 --> 00:05:49,400 Speaker 1: Cool. What I love about this is it can sometimes 114 00:05:49,480 --> 00:05:52,839 Speaker 1: feel a little bit hopeless in the world when you 115 00:05:52,880 --> 00:05:55,719 Speaker 1: think about the views that people hold that are against 116 00:05:55,720 --> 00:05:57,760 Speaker 1: your own, and you can sometimes feel like, well, what's 117 00:05:57,800 --> 00:06:00,320 Speaker 1: the point trying to reason with someone who thinks or 118 00:06:00,320 --> 00:06:03,080 Speaker 1: believes that they're never going to change their mind. So, 119 00:06:03,120 --> 00:06:06,240 Speaker 1: apart from the AI win here, I like that it's 120 00:06:06,279 --> 00:06:09,520 Speaker 1: a moment to remind ourselves that people can. 121 00:06:09,440 --> 00:06:12,560 Speaker 2: Change definitely, and I mean that's what the research has 122 00:06:12,600 --> 00:06:15,040 Speaker 2: really picked up on. I loved this quote. They said 123 00:06:15,120 --> 00:06:19,159 Speaker 2: it paints a surprisingly optimistic picture of human reasoning by 124 00:06:19,160 --> 00:06:22,480 Speaker 2: finding that conspiratorial rabbit holes may indeed have an exit. 125 00:06:22,920 --> 00:06:27,640 Speaker 1: Beautiful. Well, sticking with the theme of technology being used 126 00:06:27,680 --> 00:06:31,240 Speaker 1: for good, this week, Zara, we've got a story from Google. 127 00:06:31,760 --> 00:06:36,599 Speaker 2: Correct. So this week Google, in partnership with something called 128 00:06:36,680 --> 00:06:40,840 Speaker 2: Muon Space and the Environmental Defense Fund, they announce new 129 00:06:40,880 --> 00:06:44,240 Speaker 2: technology they will make it easier and more efficient for 130 00:06:44,320 --> 00:06:48,000 Speaker 2: firefighters to fight bushfires. Now, I had to get through 131 00:06:48,000 --> 00:06:50,360 Speaker 2: a bit of jargon to actually understand what was going 132 00:06:50,400 --> 00:06:53,920 Speaker 2: on here, I must admit, But essentially what this partnership 133 00:06:53,920 --> 00:06:57,720 Speaker 2: has been able to create is a fleet of satellites 134 00:06:57,920 --> 00:07:02,760 Speaker 2: that can essentially capture data and images on bushfires across 135 00:07:02,760 --> 00:07:05,320 Speaker 2: the world. And what's so spectacular. I mean, there are 136 00:07:05,320 --> 00:07:07,120 Speaker 2: a couple of things that are pretty great. The first 137 00:07:07,400 --> 00:07:11,240 Speaker 2: is that it's not just able to capture data and 138 00:07:11,320 --> 00:07:14,320 Speaker 2: imagery about huge bushfires, you know, the ones that we 139 00:07:14,360 --> 00:07:16,680 Speaker 2: think of when we think of bushfires. It can also 140 00:07:16,720 --> 00:07:20,000 Speaker 2: capture fires as small as just a classroom. And that's 141 00:07:20,000 --> 00:07:23,400 Speaker 2: because of how specific and you know, how detailed the 142 00:07:23,440 --> 00:07:25,280 Speaker 2: building of this has been. Wow. 143 00:07:25,360 --> 00:07:28,640 Speaker 1: And when we think specifically about the Australian landscape, it's 144 00:07:28,680 --> 00:07:33,000 Speaker 1: often those spot fires that really can escalate exactly, very 145 00:07:33,080 --> 00:07:37,080 Speaker 1: very quickly, something that a person might drive past in 146 00:07:37,120 --> 00:07:40,200 Speaker 1: the car and think that's insignificant. The wind speed picks up, 147 00:07:40,240 --> 00:07:43,760 Speaker 1: conditions changed, and that can get out of control so quickly. 148 00:07:43,600 --> 00:07:45,640 Speaker 2: And that's exactly what they're trying to do. So the 149 00:07:45,680 --> 00:07:48,000 Speaker 2: idea is that once all of these satellites are in place, 150 00:07:48,040 --> 00:07:51,240 Speaker 2: the system should be capable of updating the images about 151 00:07:51,280 --> 00:07:54,160 Speaker 2: every twenty minutes or so, which is essentially giving you 152 00:07:54,640 --> 00:07:58,120 Speaker 2: near real time information on the location, the size, and 153 00:07:58,160 --> 00:08:02,120 Speaker 2: the intensity of fires, and that should hopefully be able 154 00:08:02,160 --> 00:08:06,600 Speaker 2: to make the jobs of these incredible fieries that much easier. 155 00:08:06,920 --> 00:08:08,920 Speaker 2: If you know, as you said, they can get that 156 00:08:09,040 --> 00:08:13,560 Speaker 2: instantaneous information about these kind of smaller bush fires as well. 157 00:08:13,880 --> 00:08:17,320 Speaker 1: There you go, technology doing good for all of us. 158 00:08:17,800 --> 00:08:20,600 Speaker 1: Now to wrap us up today, Zara, you have a 159 00:08:20,680 --> 00:08:23,600 Speaker 1: beautiful community good news story for us. 160 00:08:23,840 --> 00:08:26,640 Speaker 2: Yeah. So I actually was alerted to this one by 161 00:08:26,880 --> 00:08:31,400 Speaker 2: a lovely reader of our good newsletter, Lakshenie, who tagged 162 00:08:31,440 --> 00:08:33,480 Speaker 2: me on LinkedIn saying that this would be a good 163 00:08:33,520 --> 00:08:36,400 Speaker 2: story to use. So here we are, Lakshini, thank you 164 00:08:36,440 --> 00:08:37,640 Speaker 2: for shvy. 165 00:08:37,200 --> 00:08:38,080 Speaker 1: You so much. 166 00:08:38,160 --> 00:08:41,560 Speaker 2: And this story is about a hospital in Auckland. It's 167 00:08:41,559 --> 00:08:45,480 Speaker 2: called north Shore Hospital and there a hospital garden has 168 00:08:45,520 --> 00:08:47,760 Speaker 2: recently opened and it is I mean, when you think 169 00:08:47,800 --> 00:08:49,880 Speaker 2: of a garden, you're like a big whoop. But this 170 00:08:49,920 --> 00:08:55,240 Speaker 2: is this beautiful indoor like green, luscious, beautifully built garden. 171 00:08:55,720 --> 00:08:59,400 Speaker 2: It's called the Healing Garden and it's designed as this 172 00:08:59,480 --> 00:09:02,840 Speaker 2: kind of place away from the bustle and the noise 173 00:09:02,880 --> 00:09:05,760 Speaker 2: and the stress of the hospital. It has over five 174 00:09:05,840 --> 00:09:08,640 Speaker 2: hundred plants. It's one hundred and ten square meters. I 175 00:09:08,679 --> 00:09:11,120 Speaker 2: wish that listeners could see a photo of it, but 176 00:09:11,200 --> 00:09:13,640 Speaker 2: look it up because it is really gorgeous. It was 177 00:09:13,679 --> 00:09:16,839 Speaker 2: funded through donations which I loved. I know that there 178 00:09:16,920 --> 00:09:20,360 Speaker 2: was community push behind it, yep. And also that it's 179 00:09:20,440 --> 00:09:24,200 Speaker 2: not just for patients. This has very intentionally been built 180 00:09:24,280 --> 00:09:27,880 Speaker 2: also for the staff, who we know worked tirelessly and 181 00:09:28,000 --> 00:09:30,200 Speaker 2: really long shifts, and so it's meant to be a 182 00:09:30,240 --> 00:09:33,840 Speaker 2: space that not just sick patients but also staff care 183 00:09:33,920 --> 00:09:37,440 Speaker 2: as families can go and just take a moment for themselves, admits. 184 00:09:37,559 --> 00:09:40,240 Speaker 2: You know the sheer intensity that a hospital visit can 185 00:09:40,280 --> 00:09:42,120 Speaker 2: bring you, And I just thought it was a really 186 00:09:42,120 --> 00:09:43,080 Speaker 2: lovely good news story. 187 00:09:43,160 --> 00:09:45,640 Speaker 1: Yeah, this is lovely. Anyone who has spent any time 188 00:09:45,679 --> 00:09:49,319 Speaker 1: in a hospital knows that they can be miserable. Miserable, 189 00:09:49,720 --> 00:09:54,839 Speaker 1: concrete jungles that feel like mazes sometimes inescapable. You might 190 00:09:54,880 --> 00:09:57,320 Speaker 1: be getting some terrible news when you're there, And of 191 00:09:57,360 --> 00:10:00,040 Speaker 1: course our healthcare work is working so so hard for 192 00:10:00,080 --> 00:10:03,680 Speaker 1: such long hours. The idea of having a tranquil space 193 00:10:03,720 --> 00:10:06,600 Speaker 1: where they can go and take a breath and consolidate 194 00:10:06,640 --> 00:10:09,160 Speaker 1: their thoughts, I think that's such a beautiful idea. Let's 195 00:10:09,160 --> 00:10:12,079 Speaker 1: get more healing gardens in the hospitals. 196 00:10:11,600 --> 00:10:15,200 Speaker 2: Please to che All right, now take us out. What 197 00:10:15,480 --> 00:10:18,480 Speaker 2: is your feel good recommendation for the week? 198 00:10:18,720 --> 00:10:23,480 Speaker 1: Okay, my recommendation this week is another podcast, But Are 199 00:10:23,520 --> 00:10:26,160 Speaker 1: You Happy? A brilliant podcast from Mum and Me are 200 00:10:26,200 --> 00:10:29,560 Speaker 1: hosted by Claire Stevens. It's so simple but so clever. 201 00:10:30,240 --> 00:10:34,439 Speaker 1: The premise of this podcast is basically asking people, famous 202 00:10:34,440 --> 00:10:37,360 Speaker 1: people who seem really happy on the outside if they 203 00:10:37,760 --> 00:10:39,560 Speaker 1: actually are enjoying their life. 204 00:10:39,760 --> 00:10:41,400 Speaker 2: It's such a good series. 205 00:10:41,200 --> 00:10:44,200 Speaker 1: So clever. It's back again for another series, and I 206 00:10:44,240 --> 00:10:48,320 Speaker 1: wanted to shout out the episode with Missy Higgins. I 207 00:10:48,640 --> 00:10:51,440 Speaker 1: have loved Missy Higgins my whole life. She's such an 208 00:10:51,440 --> 00:10:55,440 Speaker 1: Australian icon. Her songwriting is such an emotional force in 209 00:10:55,480 --> 00:10:58,559 Speaker 1: and of itself. But it was really refreshing to hear 210 00:10:58,760 --> 00:11:02,920 Speaker 1: Missy speaking about her her experiences of happiness, her struggles 211 00:11:02,920 --> 00:11:08,400 Speaker 1: with shame, her openness about battling with depression, her entire life. 212 00:11:09,080 --> 00:11:14,120 Speaker 1: It's just a really beautiful discussion between two incredible women 213 00:11:14,360 --> 00:11:17,520 Speaker 1: doing amazing stuff for the world. So that's my recommendation, 214 00:11:17,760 --> 00:11:21,000 Speaker 1: But are You Happy? The episode with Missy Higgins Zara, 215 00:11:21,200 --> 00:11:23,800 Speaker 1: what are you loving this week? What's bringing you joy? 216 00:11:24,960 --> 00:11:27,600 Speaker 2: I don't know what this says about me, but the 217 00:11:27,640 --> 00:11:30,800 Speaker 2: thing that's bringing me joy this week is listening to 218 00:11:30,920 --> 00:11:34,760 Speaker 2: the rest is Politics in the US version, and again 219 00:11:35,120 --> 00:11:38,640 Speaker 2: the topic itself is not necessarily good news, but I 220 00:11:38,679 --> 00:11:41,360 Speaker 2: think to have found something that is cutting through the 221 00:11:41,400 --> 00:11:44,840 Speaker 2: noise of the US election. The premise of the rest 222 00:11:44,880 --> 00:11:47,520 Speaker 2: is Politics. It's a UK show. It has two people 223 00:11:47,559 --> 00:11:50,360 Speaker 2: from opposing sides of politics come on and basically meet 224 00:11:50,400 --> 00:11:52,880 Speaker 2: in the middle to just chat really openly about their 225 00:11:52,960 --> 00:11:56,320 Speaker 2: views and their thoughts on politics. And I just think 226 00:11:56,400 --> 00:11:59,320 Speaker 2: it's been really clarifying to be able to listen to funny, 227 00:11:59,440 --> 00:12:04,320 Speaker 2: smart journalists, bureaucrats, politicians come together and really make sense 228 00:12:04,320 --> 00:12:07,520 Speaker 2: of the world around them and I've really enjoyed it amazing. 229 00:12:07,600 --> 00:12:10,120 Speaker 1: We will pop a link to both of those in 230 00:12:10,160 --> 00:12:11,760 Speaker 1: the show notes for today's episode. 231 00:12:11,880 --> 00:12:13,840 Speaker 2: If you would like to receive all of this good 232 00:12:13,880 --> 00:12:16,520 Speaker 2: news in your inbox every Sunday morning, you can sign 233 00:12:16,600 --> 00:12:18,920 Speaker 2: up to our good newsletter in the same place as 234 00:12:18,960 --> 00:12:22,360 Speaker 2: those recommendations will be in our show notes. Have a 235 00:12:22,640 --> 00:12:26,480 Speaker 2: beautiful weekend and we'll chat to you again on Monday morning. Bye. 236 00:12:29,920 --> 00:12:32,240 Speaker 2: My name is Lily Maddon and I'm a proud Arunda 237 00:12:32,440 --> 00:12:36,600 Speaker 2: bunge Lung Kalgoutin woman from Gadighl Country. The Daily oz 238 00:12:36,679 --> 00:12:39,400 Speaker 2: acknowledges that this podcast is recorded on the lands of 239 00:12:39,440 --> 00:12:42,760 Speaker 2: the Gadighl people and pays respect to all Aboriginal and 240 00:12:42,800 --> 00:12:45,840 Speaker 2: Torres Strait Island and nations. We pay our respects to 241 00:12:45,920 --> 00:12:48,800 Speaker 2: the first peoples of these countries, both past and present.