1 00:00:00,600 --> 00:00:03,720 Speaker 1: Already and this is this is the daily This is 2 00:00:03,760 --> 00:00:06,920 Speaker 1: the daily. Ohs oh, now it makes sense. 3 00:00:15,920 --> 00:00:18,760 Speaker 2: Good morning, and welcome to the Daily Os. It's Saturday, 4 00:00:18,760 --> 00:00:19,880 Speaker 2: the second of November. 5 00:00:20,000 --> 00:00:22,840 Speaker 1: I'm Zara, I'm Sam, and we are back for another 6 00:00:22,880 --> 00:00:25,320 Speaker 1: week of good news. It's nice to be here in November. 7 00:00:25,360 --> 00:00:28,400 Speaker 1: The weather's getting warmer, the saturdays are getting sunnier, although 8 00:00:28,480 --> 00:00:30,120 Speaker 1: it was a bit rainy for a lot of the 9 00:00:30,120 --> 00:00:32,720 Speaker 1: country this week. No matter what the weather was, we're 10 00:00:32,720 --> 00:00:35,760 Speaker 1: going to be bringing some sunshine into your Saturday morning. Zara. 11 00:00:36,200 --> 00:00:37,960 Speaker 1: What are we kicking off with today? 12 00:00:38,520 --> 00:00:41,440 Speaker 2: This might be a selfish one, mostly because I have 13 00:00:41,560 --> 00:00:45,800 Speaker 2: just done some travel and have enjoyed or not enjoyed 14 00:00:46,080 --> 00:00:51,800 Speaker 2: what travel brings, which is airlines, cancelations, missed flights, all 15 00:00:51,840 --> 00:00:54,080 Speaker 2: of that jazz. And so when I saw this story, 16 00:00:54,160 --> 00:00:57,120 Speaker 2: I was hooked. And it's that from this week, a 17 00:00:57,200 --> 00:01:00,400 Speaker 2: new law has come into effect requiring US airline to 18 00:01:00,400 --> 00:01:04,480 Speaker 2: give passengers cash refunds if their flight is significantly delayed 19 00:01:04,680 --> 00:01:05,280 Speaker 2: or canceled. 20 00:01:05,400 --> 00:01:07,199 Speaker 1: That's a big one that would be popular with the people. 21 00:01:07,319 --> 00:01:09,720 Speaker 2: So you don't need to sit on the phone wait 22 00:01:09,760 --> 00:01:12,240 Speaker 2: for an hour to get through to someone, then tell 23 00:01:12,280 --> 00:01:14,560 Speaker 2: them that actually your flight didn't go and you had 24 00:01:14,560 --> 00:01:16,120 Speaker 2: a meeting you needed to get to, and all of 25 00:01:16,120 --> 00:01:16,600 Speaker 2: these things. 26 00:01:16,680 --> 00:01:19,240 Speaker 1: It just automatically gets sorted. 27 00:01:19,080 --> 00:01:23,320 Speaker 2: Exactly, So starting from last Monday, refunds are automatically processed 28 00:01:23,360 --> 00:01:26,120 Speaker 2: by an airline. If a passenger's flight is canceled or 29 00:01:26,160 --> 00:01:30,360 Speaker 2: significantly changed, and if they don't accept the significantly changed flight, 30 00:01:30,880 --> 00:01:33,520 Speaker 2: then they also get that money, which is so good. 31 00:01:33,560 --> 00:01:35,560 Speaker 2: Like oftentimes like, yeah, but we can put you on 32 00:01:35,560 --> 00:01:39,120 Speaker 2: one tomorrow night at two am, and you're like, I 33 00:01:39,160 --> 00:01:41,319 Speaker 2: needed to be there at eight am. That doesn't work. 34 00:01:41,440 --> 00:01:43,000 Speaker 1: I do feel like this is part of a broader 35 00:01:43,040 --> 00:01:47,760 Speaker 1: global trend of airlines needing a little bit more accountability instructures, 36 00:01:47,760 --> 00:01:50,520 Speaker 1: particularly post pandemic. And you wouldn't be surprised if we 37 00:01:50,560 --> 00:01:52,080 Speaker 1: see something similar here in Australia. 38 00:01:52,200 --> 00:01:54,880 Speaker 2: No, well, we've seen similar in the EU, so you're right, 39 00:01:54,920 --> 00:01:57,840 Speaker 2: there is this global move. And we had Transportation Secretary 40 00:01:57,920 --> 00:02:01,160 Speaker 2: Pete Bootage Edge saying passenger deserve to get their money 41 00:02:01,160 --> 00:02:04,200 Speaker 2: back when an airline knows them without headaches or haggling. 42 00:02:04,360 --> 00:02:05,760 Speaker 2: Just think at the time on the phone that you 43 00:02:05,760 --> 00:02:08,600 Speaker 2: could save the ring tones of the major airlines in 44 00:02:08,600 --> 00:02:10,640 Speaker 2: this country. I'm very familiar with. 45 00:02:11,000 --> 00:02:12,960 Speaker 1: Yeah, I do like listening to a little bit of that. 46 00:02:13,440 --> 00:02:15,880 Speaker 1: It's definitely good for my mental health. And speaking of 47 00:02:15,919 --> 00:02:18,280 Speaker 1: mental health, Azara, let's talk mental health research. 48 00:02:18,560 --> 00:02:19,519 Speaker 2: Unbelievable segue. 49 00:02:19,600 --> 00:02:21,840 Speaker 1: Thank you so much. That's they pay me the big 50 00:02:21,880 --> 00:02:22,840 Speaker 1: bucks for this week. 51 00:02:23,280 --> 00:02:26,960 Speaker 2: Mental health researcher Helen Christensen won the New South Wales 52 00:02:27,040 --> 00:02:29,480 Speaker 2: Scientist of the Year and I thought that this was 53 00:02:29,520 --> 00:02:33,000 Speaker 2: interesting because I think oftentimes Scientists of the Year goes 54 00:02:33,040 --> 00:02:36,680 Speaker 2: to a chemist or to an astrophysicist or whatever it is, 55 00:02:36,960 --> 00:02:39,720 Speaker 2: but this year it went to a mental health researcher. 56 00:02:39,880 --> 00:02:43,080 Speaker 2: So Professor Christensen has worked in the mental health space 57 00:02:43,200 --> 00:02:46,280 Speaker 2: for decades. In her previous life, I worked at a 58 00:02:46,320 --> 00:02:49,160 Speaker 2: health institute and her name always came up. She was 59 00:02:49,200 --> 00:02:52,400 Speaker 2: like the star of this industry. In two thousand, she 60 00:02:52,480 --> 00:02:55,960 Speaker 2: developed a digital intervention program to reduce depression in young 61 00:02:56,000 --> 00:02:58,919 Speaker 2: people and that's now used by millions of people across 62 00:02:58,960 --> 00:03:01,280 Speaker 2: more than one hundred and six countries. And think about it, 63 00:03:01,320 --> 00:03:03,640 Speaker 2: we're talking over twenty years. 64 00:03:03,480 --> 00:03:06,200 Speaker 1: Ago, early stage anything. Yeah. 65 00:03:06,520 --> 00:03:08,919 Speaker 2: She then went on to become the executive director and 66 00:03:08,960 --> 00:03:11,840 Speaker 2: the chief scientist at the Black Dog Institute. So that 67 00:03:11,919 --> 00:03:14,880 Speaker 2: was between twenty eleven and twenty twenty one, and it's 68 00:03:14,919 --> 00:03:17,840 Speaker 2: there that she developed her work on creating a model 69 00:03:17,880 --> 00:03:22,000 Speaker 2: of suicide prevention, and that's now been incorporated international and 70 00:03:22,280 --> 00:03:25,960 Speaker 2: state suicide prevention plans. So just really like life changing 71 00:03:26,040 --> 00:03:30,000 Speaker 2: stuff that she's working on. Reflecting on her, Win Christiansen said, 72 00:03:30,360 --> 00:03:33,080 Speaker 2: it's exciting to see this recognition for scientific work in 73 00:03:33,160 --> 00:03:35,800 Speaker 2: mental health, an issue now seeing globally as the leading 74 00:03:35,840 --> 00:03:39,520 Speaker 2: health concern, even surpassing cancer, obesity and COVID. 75 00:03:39,560 --> 00:03:42,560 Speaker 1: And I do just want to really recognize that. I 76 00:03:42,560 --> 00:03:45,320 Speaker 1: can't believe how early it was that she started digital 77 00:03:45,320 --> 00:03:46,640 Speaker 1: innovation in this space. 78 00:03:46,760 --> 00:03:47,400 Speaker 2: It's amazing. 79 00:03:47,640 --> 00:03:50,320 Speaker 1: I just did a quick search of earliest mental health 80 00:03:50,360 --> 00:03:52,680 Speaker 1: digital programs and she's right up there with one of 81 00:03:52,680 --> 00:03:55,920 Speaker 1: the first in the world. Okay, so we've talked about planes, 82 00:03:55,960 --> 00:03:59,320 Speaker 1: we've talked about mental health. Let's bring it to the 83 00:03:59,360 --> 00:04:01,400 Speaker 1: bare bones of it all. Let's strip it all back 84 00:04:01,720 --> 00:04:06,040 Speaker 1: and just talk about something with pure joy. Yes, except 85 00:04:06,200 --> 00:04:07,160 Speaker 1: if it was a cold day. 86 00:04:07,520 --> 00:04:12,160 Speaker 2: So this week, more than five thousand people marched along 87 00:04:12,240 --> 00:04:17,080 Speaker 2: Brisbane's Story Bridge before lying down and posing completely stark 88 00:04:17,200 --> 00:04:20,320 Speaker 2: naked for a photo shoot for New York based artist 89 00:04:20,480 --> 00:04:24,359 Speaker 2: Spencer Tunic. The artwork is part of the inaugural Melt Festival, 90 00:04:24,400 --> 00:04:28,440 Speaker 2: which is the city's new festival celebrating queer art and culture. 91 00:04:29,200 --> 00:04:32,040 Speaker 2: The number of participants who Bear it All in Brisbane 92 00:04:32,040 --> 00:04:35,279 Speaker 2: this week surpassed they two hundred people who posed for 93 00:04:35,320 --> 00:04:37,840 Speaker 2: Tunic's last photo shoot at the Sydney Opera House back 94 00:04:37,880 --> 00:04:40,640 Speaker 2: in twenty ten. And when he was talking about the 95 00:04:40,680 --> 00:04:43,039 Speaker 2: type of people who showed up to this, you know, 96 00:04:43,160 --> 00:04:45,800 Speaker 2: I always love the people that rock up to these things, 97 00:04:46,160 --> 00:04:47,599 Speaker 2: like they are a certain type of person. 98 00:04:47,680 --> 00:04:50,120 Speaker 1: Can we get somebody who has gone to one of 99 00:04:50,160 --> 00:04:52,719 Speaker 1: these to get in touch? Yes, I would just love 100 00:04:52,760 --> 00:04:54,640 Speaker 1: to do gm. I want to know how it feels 101 00:04:54,680 --> 00:04:55,760 Speaker 1: to be in the middle of all of that. 102 00:04:56,200 --> 00:04:59,719 Speaker 2: Well, according to Tunic, there was a real diversity in 103 00:04:59,760 --> 00:05:03,240 Speaker 2: the turnout. He said, different tonalities, different genders. We had 104 00:05:03,240 --> 00:05:07,800 Speaker 2: trans participants and non binary people from LGBTQIA plus community 105 00:05:07,880 --> 00:05:10,680 Speaker 2: and their allies. He called it the most diverse work 106 00:05:10,839 --> 00:05:12,080 Speaker 2: he had ever done. 107 00:05:12,279 --> 00:05:14,960 Speaker 1: Now, I'm pretty fixated on hearing from somebody who's been 108 00:05:15,040 --> 00:05:17,279 Speaker 1: to one of these installations, So please get in touch. 109 00:05:17,279 --> 00:05:20,280 Speaker 1: I've got a couple of questions for you, Zara. Last 110 00:05:20,480 --> 00:05:23,159 Speaker 1: story for the day. We're going to the World of sport. 111 00:05:23,640 --> 00:05:25,599 Speaker 2: Well, I mean, I don't have much to say on 112 00:05:25,640 --> 00:05:29,400 Speaker 2: this one other than just pure admiration. But Ethiopian runner 113 00:05:29,520 --> 00:05:33,360 Speaker 2: Jomth Kagelcha has set a new record for the half marathon, 114 00:05:33,520 --> 00:05:36,159 Speaker 2: which is of course twenty one kilometers or just over. 115 00:05:36,720 --> 00:05:37,159 Speaker 1: He did the. 116 00:05:37,200 --> 00:05:40,680 Speaker 2: Run in fifty seven minutes and thirty seconds. He beat 117 00:05:40,720 --> 00:05:44,120 Speaker 2: the record that was previously held by about one second. 118 00:05:45,040 --> 00:05:47,680 Speaker 2: What do you think that is as an average split. 119 00:05:47,800 --> 00:05:49,880 Speaker 1: Faster than anything I could do. If I had to 120 00:05:49,960 --> 00:05:51,560 Speaker 1: run twelve meters. 121 00:05:51,360 --> 00:05:54,560 Speaker 2: Two minutes and forty three point five to three seconds 122 00:05:54,720 --> 00:05:56,280 Speaker 2: per kilometer. 123 00:05:55,880 --> 00:05:59,200 Speaker 1: That is a very fast. 124 00:05:58,920 --> 00:06:01,240 Speaker 2: If you have like eighty except of what running is. 125 00:06:01,400 --> 00:06:03,719 Speaker 2: So I ran a half marathon. This is turning into 126 00:06:03,760 --> 00:06:06,440 Speaker 2: something wildly indulgent. But I ran a half marathon in 127 00:06:06,760 --> 00:06:08,279 Speaker 2: possibly the slowest time ever. 128 00:06:08,560 --> 00:06:10,760 Speaker 1: It was like three out, no excuse me. 129 00:06:10,839 --> 00:06:15,279 Speaker 2: So my splits were around seven and a half minutes. 130 00:06:15,800 --> 00:06:19,719 Speaker 2: His splits are two minutes. We both have human bodies. 131 00:06:20,000 --> 00:06:21,280 Speaker 1: I can't even drive that fast. 132 00:06:21,279 --> 00:06:24,120 Speaker 2: I know anyway, they're doing different things clearly, but I 133 00:06:24,240 --> 00:06:25,719 Speaker 2: just thought we had to put that in at the 134 00:06:25,760 --> 00:06:28,280 Speaker 2: tail end, because, my god, what an achievement. 135 00:06:28,880 --> 00:06:31,320 Speaker 1: Humans keep getting faster and faster, and we keep getting 136 00:06:31,360 --> 00:06:33,920 Speaker 1: happier and happier with all of these good news stories. Zara, 137 00:06:33,920 --> 00:06:36,520 Speaker 1: I'll leave you with my good news recommendation of the week, 138 00:06:36,560 --> 00:06:39,280 Speaker 1: which is find somebody who is doing November and tell 139 00:06:39,320 --> 00:06:42,520 Speaker 1: them that they look gorgeous. Because I am two days 140 00:06:42,520 --> 00:06:45,280 Speaker 1: into November. I do cheat. I want everyone to know 141 00:06:45,360 --> 00:06:48,800 Speaker 1: that I start with a mo yeah, because I enjoy 142 00:06:49,120 --> 00:06:52,279 Speaker 1: conversations about it from day one, and all I've heard 143 00:06:52,839 --> 00:06:55,280 Speaker 1: is that I look a bit creepy. Creepy for a 144 00:06:55,320 --> 00:06:58,000 Speaker 1: good reason, thank you exactly. And I want everybody to 145 00:06:58,000 --> 00:07:01,160 Speaker 1: find somebody in their lives, if there's men with mo's 146 00:07:01,279 --> 00:07:03,719 Speaker 1: or if there's women doing all the different fitness challenges 147 00:07:03,760 --> 00:07:06,880 Speaker 1: that are available, and tell them that they are gorgeous people. 148 00:07:07,160 --> 00:07:09,400 Speaker 2: Well look nothing to add on that it's our favorite 149 00:07:09,400 --> 00:07:12,680 Speaker 2: month of the year. We fully get behind talking more 150 00:07:12,800 --> 00:07:15,760 Speaker 2: about men's health and all the things that come with it. 151 00:07:16,160 --> 00:07:18,520 Speaker 2: Thank you for joining us for another week of the 152 00:07:18,560 --> 00:07:20,520 Speaker 2: good News. If you want to get that in your inbox, 153 00:07:20,600 --> 00:07:23,640 Speaker 2: sign up to our good newsletter today. We will throw 154 00:07:23,720 --> 00:07:26,720 Speaker 2: the link to that in our show notes. But until Monday, 155 00:07:26,880 --> 00:07:28,200 Speaker 2: have a beautiful weekend. 156 00:07:31,360 --> 00:07:33,680 Speaker 1: My name is Lily Maddon and I'm a proud Arunda 157 00:07:33,920 --> 00:07:38,680 Speaker 1: Bungelung Cargotin woman from Gadighl country. The Daily oz acknowledges 158 00:07:38,760 --> 00:07:40,920 Speaker 1: that this podcast is recorded on the lands of the 159 00:07:40,960 --> 00:07:44,520 Speaker 1: Gadighl people and pays respect to all Aboriginal and Torres 160 00:07:44,520 --> 00:07:47,440 Speaker 1: Strait island and nations. We pay our respects to the 161 00:07:47,480 --> 00:07:50,240 Speaker 1: first peoples of these countries, both past and present.