1 00:00:00,760 --> 00:00:05,519 Speaker 1: On AIRFM ondav All listen to your heartskin sand on iHeartRadio. 2 00:00:05,840 --> 00:00:09,800 Speaker 2: It's Clecy and Lisa Rewound a ninety six AIRFM on 3 00:00:09,840 --> 00:00:12,520 Speaker 2: the podcast. Today we talked to doctor Mark Duncan Smith 4 00:00:12,560 --> 00:00:14,920 Speaker 2: about rats and high cases of Corona. 5 00:00:15,200 --> 00:00:17,720 Speaker 1: The ever smooth Australian actor Cameron Datto on how to 6 00:00:17,760 --> 00:00:19,800 Speaker 1: please a woman. I had a couple of extreme questions. 7 00:00:19,480 --> 00:00:22,239 Speaker 2: For him and we took KOLs and the most inspiring 8 00:00:22,320 --> 00:00:26,040 Speaker 2: movie You've ever seen? What is the most inspiring movie 9 00:00:26,239 --> 00:00:30,200 Speaker 2: you've ever seen? IMDb, the Internet Movie Database, has done 10 00:00:30,320 --> 00:00:35,159 Speaker 2: a poll online asking this question. A few people have 11 00:00:35,200 --> 00:00:39,600 Speaker 2: said the Shawshank Redemption. It always comes up, doesn't it. 12 00:00:39,600 --> 00:00:42,480 Speaker 2: It's a wonderful life. From nineteen forty six, a guy 13 00:00:42,520 --> 00:00:44,760 Speaker 2: called Thor said Goodfellas and Terminator too. 14 00:00:46,200 --> 00:00:48,600 Speaker 1: Because did you understand the question, Thor? 15 00:00:49,000 --> 00:00:52,840 Speaker 2: It is what is the most inspiring movie you've ever seen? 16 00:00:53,479 --> 00:00:54,320 Speaker 2: Do you want to know mine? 17 00:00:54,720 --> 00:00:56,840 Speaker 1: I really want to know your two thousand. 18 00:00:56,560 --> 00:01:01,240 Speaker 2: And three documentary called Touching the Void. In nineteen eighty five, 19 00:01:01,480 --> 00:01:04,960 Speaker 2: two young climbers, Joe Simpson and Simon Yates set out 20 00:01:05,040 --> 00:01:07,440 Speaker 2: to be the first to reach the summit of a 21 00:01:07,480 --> 00:01:10,800 Speaker 2: certain mountain in the peruvian OUs and have you seen this? 22 00:01:11,319 --> 00:01:12,320 Speaker 1: I have seen the film. 23 00:01:12,760 --> 00:01:16,360 Speaker 2: Mind blowing, mind blowing. They succeed, they get to the top, 24 00:01:16,440 --> 00:01:18,319 Speaker 2: and then they embark on the treacherous to set down 25 00:01:18,360 --> 00:01:20,720 Speaker 2: the mountain, only to meet with disaster when Simpson breaks 26 00:01:20,760 --> 00:01:24,959 Speaker 2: his leg in the most horrendous way. Could you could 27 00:01:24,959 --> 00:01:27,399 Speaker 2: imagine that? Basically his leg comes up through his pelvis, 28 00:01:28,520 --> 00:01:31,319 Speaker 2: so Yates has to lower him the rest of the 29 00:01:31,319 --> 00:01:34,160 Speaker 2: way with ropes. Then a storm threatens both of their lives, 30 00:01:34,240 --> 00:01:37,600 Speaker 2: and Yates must decide whether to cut the rope and 31 00:01:37,720 --> 00:01:44,080 Speaker 2: risk Simpson's likely death. Yes, it is a lesson in 32 00:01:44,680 --> 00:01:49,400 Speaker 2: goal setting like nothing else you will ever see I reckon. 33 00:01:49,520 --> 00:01:50,680 Speaker 1: Yeah, it is incredible. 34 00:01:51,080 --> 00:01:55,960 Speaker 2: It is incredible. I have always recommended this film to anyone, anywhere, anytime. 35 00:01:56,080 --> 00:01:57,440 Speaker 1: It's one of those ones that you're not the same, 36 00:01:58,720 --> 00:02:00,000 Speaker 1: but you're not the same person you've said. 37 00:02:00,200 --> 00:02:02,880 Speaker 2: It stayed with me for days and days. I could 38 00:02:02,960 --> 00:02:04,320 Speaker 2: not stop thinking about it. 39 00:02:04,440 --> 00:02:06,800 Speaker 1: Yep. And if that's the theme of a movie that 40 00:02:06,880 --> 00:02:09,359 Speaker 1: inspires you, then for me it was The Exorcist. Could 41 00:02:09,360 --> 00:02:10,639 Speaker 1: it inspired me to get the hell out of the 42 00:02:10,680 --> 00:02:12,640 Speaker 1: mirror and drive in and never see a devil possession 43 00:02:12,680 --> 00:02:16,400 Speaker 1: movie again? Oh? My God, never again. 44 00:02:17,520 --> 00:02:19,760 Speaker 2: Okay, so we've had one Touching the Void one Exorcis 45 00:02:19,960 --> 00:02:24,639 Speaker 2: Susi producer says, Hidden Figures African American women at USA 46 00:02:24,720 --> 00:02:26,840 Speaker 2: in the sixties breaking barriers. I loved that movie. It 47 00:02:28,080 --> 00:02:28,960 Speaker 2: was so much fun. 48 00:02:29,040 --> 00:02:31,360 Speaker 1: And it's that funny because, yeah, if I was speaking serious, 49 00:02:31,360 --> 00:02:33,400 Speaker 1: i'd tell Apollo thirteen because of the way that they 50 00:02:33,840 --> 00:02:36,680 Speaker 1: came back from beyond and you thought they were history. 51 00:02:36,720 --> 00:02:38,640 Speaker 1: But that is Hidden Figure is an amazing film. 52 00:02:38,680 --> 00:02:40,120 Speaker 2: Yeah, it is an amazing film. 53 00:02:40,280 --> 00:02:41,160 Speaker 1: Story they had to be told. 54 00:02:41,360 --> 00:02:41,560 Speaker 3: Yeah. 55 00:02:41,720 --> 00:02:45,280 Speaker 2: Yeah, what is the most inspiring movie you've ever seen? 56 00:02:45,520 --> 00:02:46,440 Speaker 2: Johnny and Turox? 57 00:02:46,480 --> 00:02:48,799 Speaker 3: Good morning, Good morning, How are you going good? 58 00:02:48,840 --> 00:02:51,400 Speaker 2: What is the most inspiring movie you've ever seen? 59 00:02:52,000 --> 00:02:53,520 Speaker 4: I think it's called The Last Breath. 60 00:02:53,880 --> 00:02:54,800 Speaker 2: The Last Breath. 61 00:02:55,040 --> 00:02:58,560 Speaker 4: Yeah, it's currently on Netflix. It's about a deep sea 62 00:02:58,639 --> 00:02:59,679 Speaker 4: diver in the North Sea. 63 00:03:00,120 --> 00:03:02,239 Speaker 1: Oh this is just watched this and told. 64 00:03:02,120 --> 00:03:02,680 Speaker 2: Me about it. 65 00:03:03,280 --> 00:03:03,560 Speaker 4: Yeah. 66 00:03:03,760 --> 00:03:06,120 Speaker 3: It's very, very impressive and the fact that they use 67 00:03:06,160 --> 00:03:07,959 Speaker 3: a lot of the footage in it is actually real 68 00:03:08,000 --> 00:03:08,920 Speaker 3: from the actual incident. 69 00:03:09,320 --> 00:03:12,280 Speaker 1: This is a different day. 70 00:03:12,360 --> 00:03:13,280 Speaker 2: I watched this one. 71 00:03:13,480 --> 00:03:15,320 Speaker 1: This is about the guys. He's only got a few 72 00:03:15,360 --> 00:03:16,720 Speaker 1: minutes to live or something. Johnny. 73 00:03:17,200 --> 00:03:18,919 Speaker 4: Yeah, they gets right and they come back to him. 74 00:03:18,919 --> 00:03:21,079 Speaker 4: They get him like twenty minutes later, and they revive. 75 00:03:21,160 --> 00:03:25,480 Speaker 2: In many a story, just remember that that image of 76 00:03:25,520 --> 00:03:27,200 Speaker 2: where they come out of the darkness and there he 77 00:03:27,320 --> 00:03:28,760 Speaker 2: is on top of the cage. 78 00:03:28,960 --> 00:03:29,720 Speaker 1: How incredible. 79 00:03:29,720 --> 00:03:32,359 Speaker 4: That's just just rolling backwards. 80 00:03:31,400 --> 00:03:33,400 Speaker 3: And I clearly did. 81 00:03:33,520 --> 00:03:36,800 Speaker 2: I'm far down. I mean just you can't even fathom 82 00:03:37,000 --> 00:03:40,400 Speaker 2: how far down the fat there's an interesting word for use. 83 00:03:40,840 --> 00:03:42,960 Speaker 2: They can't imagine how far down they are. 84 00:03:43,160 --> 00:03:43,360 Speaker 3: Yeah. 85 00:03:43,360 --> 00:03:45,680 Speaker 2: That was incredible. That had a touch of touching the 86 00:03:45,720 --> 00:03:48,000 Speaker 2: void definitely, Yeah, absolutely. 87 00:03:48,280 --> 00:03:50,120 Speaker 3: And what about I mean, did to save their friends? 88 00:03:50,400 --> 00:03:50,640 Speaker 4: Yeah? 89 00:03:50,920 --> 00:03:53,240 Speaker 1: Yeah. People will go to all kinds of risk levels, 90 00:03:53,280 --> 00:03:53,560 Speaker 1: don't they. 91 00:03:53,600 --> 00:03:58,680 Speaker 4: Johnny Yep, absolutely, yeah, special kind. Very impressive. Yeah, it's 92 00:03:58,720 --> 00:04:01,040 Speaker 4: a touch from bit of a personal touch for me 93 00:04:01,040 --> 00:04:02,440 Speaker 4: because I'm an ex navy diver. 94 00:04:04,640 --> 00:04:07,360 Speaker 1: Put yourself in that personal situation thinking yeah, he's going 95 00:04:07,360 --> 00:04:07,720 Speaker 1: to perish. 96 00:04:08,440 --> 00:04:09,520 Speaker 4: Brought back a few memories. 97 00:04:09,760 --> 00:04:12,640 Speaker 2: Yeah, yeah, wow, thanks Johnny. 98 00:04:12,880 --> 00:04:13,440 Speaker 1: That's amazing. 99 00:04:13,920 --> 00:04:14,520 Speaker 2: That's a good one. 100 00:04:14,560 --> 00:04:16,280 Speaker 1: The one you talk about is inspiring as well. About 101 00:04:16,279 --> 00:04:17,960 Speaker 1: the woman who wants to free dive under ice and 102 00:04:17,960 --> 00:04:18,800 Speaker 1: break the world record. 103 00:04:18,839 --> 00:04:19,640 Speaker 2: I need to watch that. 104 00:04:19,640 --> 00:04:23,599 Speaker 1: That is absolutely incredible. Okay, make me cold. 105 00:04:24,040 --> 00:04:26,359 Speaker 2: We're talking about the most inspiring movie you've ever seen, 106 00:04:26,480 --> 00:04:27,360 Speaker 2: Neili Mindari. 107 00:04:27,440 --> 00:04:29,839 Speaker 3: Hello, Yeah, good morning, guys. 108 00:04:29,839 --> 00:04:30,520 Speaker 4: How are we good? 109 00:04:30,680 --> 00:04:31,799 Speaker 2: What what is it for you? 110 00:04:33,080 --> 00:04:33,279 Speaker 3: Well? 111 00:04:33,400 --> 00:04:38,760 Speaker 4: Twelve Years a Slave? Absolutely cracking film. Yeah, brilliant and 112 00:04:38,960 --> 00:04:43,719 Speaker 4: harrowing for the people involved, obviously absolutely. And also the 113 00:04:43,760 --> 00:04:44,280 Speaker 4: Green Book. 114 00:04:44,880 --> 00:04:47,560 Speaker 1: I love the beautifully made film. 115 00:04:47,720 --> 00:04:50,880 Speaker 2: So good, so ye for that one. 116 00:04:51,080 --> 00:04:53,560 Speaker 1: Yeah, and those two worked so well together too, What 117 00:04:53,600 --> 00:04:54,000 Speaker 1: a pair of. 118 00:04:55,600 --> 00:04:56,440 Speaker 4: Film. 119 00:04:56,880 --> 00:04:59,680 Speaker 2: Thank you, Neil, Neil, I'm going to go back as 120 00:04:59,680 --> 00:05:00,799 Speaker 2: a slave. Yeah. 121 00:05:00,839 --> 00:05:02,760 Speaker 1: Well I saw Green Book pop up last night. I 122 00:05:02,800 --> 00:05:04,280 Speaker 1: went I could easily watch that movie again. 123 00:05:04,520 --> 00:05:08,800 Speaker 2: Yeah, the Barry and Secret Harbor? What gets your vote? 124 00:05:09,240 --> 00:05:13,680 Speaker 3: Hey, guys, Nothing says resilience like the Shawshank Redemption. 125 00:05:14,480 --> 00:05:18,800 Speaker 2: Yep, it's it's It's been a very popular one in 126 00:05:18,839 --> 00:05:22,760 Speaker 2: the imdboll the Shawshank Redemption. 127 00:05:22,880 --> 00:05:26,280 Speaker 1: Very persistent, Andy Defrain, wasn't he mate? 128 00:05:27,240 --> 00:05:30,320 Speaker 4: Just continually hoping? Yeah? 129 00:05:30,360 --> 00:05:32,720 Speaker 2: I mean have we Has anyone ever met anyone who 130 00:05:32,800 --> 00:05:34,400 Speaker 2: didn't like the Shawshank Redemption? 131 00:05:36,160 --> 00:05:36,400 Speaker 1: Sure? 132 00:05:37,880 --> 00:05:39,839 Speaker 2: I haven't. I don't think it's possible. 133 00:05:40,000 --> 00:05:41,160 Speaker 1: Just one of those films, wasn't it? 134 00:05:41,800 --> 00:05:43,600 Speaker 3: And you wouldn't have a heart if you didn't like. 135 00:05:43,560 --> 00:05:45,200 Speaker 2: You know, you could be friends with them, could you? 136 00:05:45,600 --> 00:05:47,240 Speaker 1: And I had a bit of everything, because you know, 137 00:05:47,279 --> 00:05:49,240 Speaker 1: there were some horrible people in that prison and people 138 00:05:49,320 --> 00:05:50,840 Speaker 1: running the prison and all the rest. They got their 139 00:05:51,240 --> 00:05:53,000 Speaker 1: what they they come up and didn't they the. 140 00:05:53,040 --> 00:05:56,520 Speaker 4: End, just the end there was. They did get the buttons, 141 00:05:56,520 --> 00:05:59,159 Speaker 4: but just the ending when they caught up on the beach. 142 00:05:59,240 --> 00:06:06,800 Speaker 2: Yeah the tree, Thank you, Barry, Barry. It had to 143 00:06:06,839 --> 00:06:08,799 Speaker 2: be in there. Thank Redemption. 144 00:06:09,000 --> 00:06:10,679 Speaker 1: Such a popular film across the masses. 145 00:06:11,320 --> 00:06:15,880 Speaker 3: More Cley Moor, Lisa More Podcasts ninety. 146 00:06:15,560 --> 00:06:19,359 Speaker 1: Six Funny SIXFM. As we watch the Tumbland Dice of 147 00:06:19,440 --> 00:06:22,719 Speaker 1: Life roll in front of us. So if in fact, 148 00:06:22,800 --> 00:06:24,520 Speaker 1: right now Lisa is one person we could talk to. 149 00:06:24,640 --> 00:06:27,000 Speaker 1: We came up with a name with so much, so 150 00:06:27,000 --> 00:06:29,159 Speaker 1: many questions to be asked and so much curiosity, and 151 00:06:29,200 --> 00:06:32,680 Speaker 1: it is the wa Ama president, almost a year in 152 00:06:32,720 --> 00:06:34,280 Speaker 1: the job. I believe it was June of last year. 153 00:06:34,360 --> 00:06:36,440 Speaker 1: Doctor Mark Duncan Smith's online Morning Doc. 154 00:06:37,279 --> 00:06:39,240 Speaker 3: Good morning, morning, Good morning. 155 00:06:39,480 --> 00:06:40,920 Speaker 2: We've got a couple of things we want to talk 156 00:06:40,920 --> 00:06:46,120 Speaker 2: to you about today. First of all, these rats the tests. 157 00:06:46,400 --> 00:06:49,840 Speaker 2: I have been hearing a lot of chatter about the 158 00:06:49,880 --> 00:06:52,479 Speaker 2: government issued saliva ones, the ones they sort of refer 159 00:06:52,560 --> 00:06:54,560 Speaker 2: to as the lollipop ones where you swipe it around 160 00:06:54,560 --> 00:06:56,359 Speaker 2: the inside of your mouth and pop it into the test. 161 00:06:56,640 --> 00:06:59,040 Speaker 2: A lot of people are saying that they're finding those 162 00:06:59,680 --> 00:07:02,520 Speaker 2: in a effective like they're doing one of those that's 163 00:07:02,560 --> 00:07:04,960 Speaker 2: coming up negative and then they're doing a you know, 164 00:07:05,040 --> 00:07:06,919 Speaker 2: up the nose one and it's lighting up like a 165 00:07:07,000 --> 00:07:10,200 Speaker 2: Christmas tree. Have you heard anything along these lines? And 166 00:07:10,360 --> 00:07:13,320 Speaker 2: is it user error? Are we doing it wrong? 167 00:07:14,600 --> 00:07:17,360 Speaker 3: Look, any test has false positives and false negatives, And 168 00:07:17,360 --> 00:07:18,720 Speaker 3: when you need to talk about a test, you've got 169 00:07:18,720 --> 00:07:24,000 Speaker 3: to talk in terms of sensitivity specificity, positive predicted value, 170 00:07:24,040 --> 00:07:26,480 Speaker 3: negative predicted value to really evaluate a test. But to 171 00:07:26,640 --> 00:07:29,280 Speaker 3: really get around all that because it took me ages 172 00:07:29,320 --> 00:07:32,600 Speaker 3: to understand it myself. Look, rats are not as accurate 173 00:07:32,640 --> 00:07:34,800 Speaker 3: as PCR. Rats are sort of, if you want to 174 00:07:34,800 --> 00:07:37,160 Speaker 3: talk in very general terms, sort of eighty to ninety 175 00:07:37,200 --> 00:07:41,440 Speaker 3: percent accurate, whereas RAT appeally well about ninety ninety eight 176 00:07:41,480 --> 00:07:45,080 Speaker 3: percent accurate. Plus you've got to look at the actual setting. 177 00:07:45,720 --> 00:07:47,640 Speaker 3: The advantage of rats is that they can be rolled 178 00:07:47,640 --> 00:07:51,080 Speaker 3: out to the compute community, a community community person or 179 00:07:51,680 --> 00:07:53,880 Speaker 3: people can just do it themselves and the results there 180 00:07:53,880 --> 00:07:57,120 Speaker 3: in fifteen minutes, as opposed to a PCR that has 181 00:07:57,160 --> 00:08:00,120 Speaker 3: to have a professional jis wold but has to have 182 00:08:00,160 --> 00:08:05,840 Speaker 3: a healthcare professional duty analysis takes hours, needs specific laboratory, 183 00:08:05,960 --> 00:08:09,080 Speaker 3: so there's not scalability in a PCR test. So both 184 00:08:09,120 --> 00:08:12,840 Speaker 3: tests have their place. Yes, I haven't heard anything specific 185 00:08:12,880 --> 00:08:15,640 Speaker 3: about certain types of tests, but all tests are meant 186 00:08:15,640 --> 00:08:19,280 Speaker 3: to be TGA approved, so they should reach certain parameters. Yeah, 187 00:08:19,320 --> 00:08:21,679 Speaker 3: a lot of situations where you get a false negative. 188 00:08:22,320 --> 00:08:25,440 Speaker 3: It may be that the sample sampling area, as you say, 189 00:08:25,440 --> 00:08:27,640 Speaker 3: I mean, ultimately, if you take the RAT and stick 190 00:08:27,680 --> 00:08:30,640 Speaker 3: it in your armpit, then you're not going to get 191 00:08:30,640 --> 00:08:33,160 Speaker 3: a good result. But you certainly need to read the 192 00:08:33,200 --> 00:08:36,319 Speaker 3: instructions very very very carefully. 193 00:08:34,960 --> 00:08:38,720 Speaker 2: And I do feel it's a little there's a little 194 00:08:38,760 --> 00:08:41,120 Speaker 2: element of mickey mouse about it in terms of we're 195 00:08:41,120 --> 00:08:43,000 Speaker 2: not nurses, we're not doctors, and it all of a 196 00:08:43,000 --> 00:08:44,760 Speaker 2: sudden we're doing all our own testing and things, and 197 00:08:44,840 --> 00:08:47,760 Speaker 2: that the instructions could be a little clearer. I think 198 00:08:47,840 --> 00:08:52,479 Speaker 2: they're fairly loose so bright. 199 00:08:55,280 --> 00:08:58,000 Speaker 3: When you've got a math outbreak and a pandemic like this, though, 200 00:08:58,160 --> 00:09:01,120 Speaker 3: the benefit of the RAT is as a screening tool, 201 00:09:02,000 --> 00:09:04,560 Speaker 3: and it is scalable. So so you know you've got 202 00:09:04,880 --> 00:09:07,480 Speaker 3: you know, thousand and tens of thousands, hundreds of thousands 203 00:09:07,480 --> 00:09:10,240 Speaker 3: people out there having a RAT, whereas the PCR system 204 00:09:10,280 --> 00:09:12,360 Speaker 3: can't handle that. And I'm also going to take it 205 00:09:12,360 --> 00:09:15,160 Speaker 3: in context. If you're a close contact with someone and 206 00:09:15,200 --> 00:09:17,120 Speaker 3: you've got a couple of sniffles and you're getting a 207 00:09:17,160 --> 00:09:20,240 Speaker 3: negative RAT, well you probably should be assuming that you're 208 00:09:20,240 --> 00:09:21,679 Speaker 3: positive and go out and get a PCR. 209 00:09:21,960 --> 00:09:24,880 Speaker 2: Okay, just to be always common sense. 210 00:09:25,040 --> 00:09:27,040 Speaker 1: He's been worried for you if you're positive enough to 211 00:09:27,080 --> 00:09:28,160 Speaker 1: stick it under your armpit. 212 00:09:28,280 --> 00:09:32,640 Speaker 3: But it's a pretty dirty armpit. 213 00:09:32,840 --> 00:09:36,000 Speaker 1: Yeah, okay, Mark, with what's going on, Mark masks, so 214 00:09:36,080 --> 00:09:38,000 Speaker 1: we put them back on everywhere, not just in hospitals. 215 00:09:38,040 --> 00:09:41,120 Speaker 3: What do you think I've not taken mine off, continued. 216 00:09:41,320 --> 00:09:45,360 Speaker 3: I've continued to wear mine indoors as per the previous restrictions. 217 00:09:46,400 --> 00:09:49,280 Speaker 3: I think it is absolutely crazy that we're not wearing 218 00:09:49,360 --> 00:09:52,320 Speaker 3: them now. A week and a half ago is when 219 00:09:52,320 --> 00:09:55,920 Speaker 3: the premiere took off the masks stopped the mandate. It 220 00:09:56,000 --> 00:09:58,240 Speaker 3: takes about a week before a public health measure either 221 00:09:58,320 --> 00:10:02,280 Speaker 3: has effect or its effected, and almost almost the day 222 00:10:02,320 --> 00:10:07,680 Speaker 3: with massive upswing, this was predictable. The restrictions were reduced 223 00:10:07,720 --> 00:10:09,960 Speaker 3: when we're in a plateau phase. And if anything, the 224 00:10:09,960 --> 00:10:13,079 Speaker 3: plateau phase had a very slight incline as you have 225 00:10:13,120 --> 00:10:15,520 Speaker 3: a look at the rolling seven day average. We all 226 00:10:15,559 --> 00:10:17,840 Speaker 3: heard about, you know, flatten the curve. That's why we 227 00:10:17,880 --> 00:10:20,520 Speaker 3: need to do all these things in the early days. Well, 228 00:10:20,600 --> 00:10:23,120 Speaker 3: what happens when you do something and reduce a measure 229 00:10:23,160 --> 00:10:27,200 Speaker 3: that is flattening the curve or the line is when 230 00:10:27,240 --> 00:10:29,960 Speaker 3: you're a plateau phase, Well, it goes up. And that's 231 00:10:30,000 --> 00:10:32,360 Speaker 3: what That's what we've seen. Now. Now the scary thing 232 00:10:32,400 --> 00:10:35,079 Speaker 3: from my point of view is as night follows day, 233 00:10:35,240 --> 00:10:40,160 Speaker 3: hospitalizations follow new cases. So in the next week, I mean, 234 00:10:40,200 --> 00:10:42,400 Speaker 3: it's a horrible day to day as a storm out there, 235 00:10:42,679 --> 00:10:44,600 Speaker 3: but this isn't This isn't the only storm we're going 236 00:10:44,640 --> 00:10:45,520 Speaker 3: to get in the next week. 237 00:10:46,080 --> 00:10:50,800 Speaker 2: Yeah, forty increase is fairly significant. And should we be 238 00:10:50,880 --> 00:10:54,240 Speaker 2: particularly concerned with heading into winter? Is that a factor? 239 00:10:55,080 --> 00:10:57,240 Speaker 3: Absolutely? Yeah, winter is coming. 240 00:10:57,840 --> 00:10:59,400 Speaker 2: Yeah, thank you? 241 00:10:59,440 --> 00:11:05,160 Speaker 3: We really yes, no, thanks, thank you. We do need 242 00:11:05,200 --> 00:11:07,240 Speaker 3: to be worried about that. Now, what I'm worried about 243 00:11:07,240 --> 00:11:11,400 Speaker 3: with hospitalizations isn't the hospitalizations today, it's the hospitalizations in 244 00:11:11,440 --> 00:11:13,360 Speaker 3: a week now from now, which is where we're going 245 00:11:13,360 --> 00:11:17,000 Speaker 3: to see that seventeen thousand cases now. Also, our rolling 246 00:11:17,000 --> 00:11:20,640 Speaker 3: three day average is way up now at thirteen thousand 247 00:11:20,679 --> 00:11:23,200 Speaker 3: day cases a day, So this is not a one 248 00:11:23,240 --> 00:11:26,720 Speaker 3: off number. This is a real increase that we're actually seeing. Now. 249 00:11:26,760 --> 00:11:29,000 Speaker 3: We'll see a dip over the weekend as we normally do, 250 00:11:29,360 --> 00:11:31,480 Speaker 3: and then you know, hopefully we'll be back into a 251 00:11:31,480 --> 00:11:33,400 Speaker 3: plateau next week, but we don't know, and we'll just 252 00:11:33,440 --> 00:11:34,559 Speaker 3: have to see where that goes. 253 00:11:34,760 --> 00:11:37,480 Speaker 1: Yeah, we've heard in the news throughout the morning your quotes, Mirke, 254 00:11:37,520 --> 00:11:39,560 Speaker 1: and you're pleading to the premium. But does a premier 255 00:11:39,559 --> 00:11:41,079 Speaker 1: listen to you? Do you have a meeting with him? 256 00:11:41,080 --> 00:11:41,679 Speaker 1: What happens now? 257 00:11:42,880 --> 00:11:45,080 Speaker 3: No, I know we don't have regular meetings or anything 258 00:11:45,160 --> 00:11:48,280 Speaker 3: like that. Look at I have a good relationship with 259 00:11:48,320 --> 00:11:52,120 Speaker 3: the Health Minister and we have I have regular meetings 260 00:11:52,160 --> 00:11:54,959 Speaker 3: with the Health Minister. But it is just a concern 261 00:11:55,040 --> 00:11:56,880 Speaker 3: of where we're heading. And as I say, with winter 262 00:11:56,920 --> 00:11:59,480 Speaker 3: coming with the flu season, but demand on beds, we're 263 00:11:59,520 --> 00:12:02,120 Speaker 3: already in bad place. And my point about all this 264 00:12:02,280 --> 00:12:04,360 Speaker 3: is our medical system did not have a lot of 265 00:12:04,400 --> 00:12:07,600 Speaker 3: reserve when we started this pandemic and we don't have 266 00:12:07,640 --> 00:12:09,680 Speaker 3: a lot of reserve. Now people say, oh, there's only 267 00:12:09,960 --> 00:12:12,760 Speaker 3: ten people in ICU, Well, those ICUs are already full 268 00:12:13,240 --> 00:12:16,640 Speaker 3: from yes, business as usual. So you know, elective surgeon 269 00:12:16,720 --> 00:12:19,680 Speaker 3: was canceled at one of the public hospitals last week 270 00:12:19,760 --> 00:12:23,520 Speaker 3: because ICU is full. So it's ICU is not sitting 271 00:12:23,559 --> 00:12:25,720 Speaker 3: there empty. They've got their full of people already. 272 00:12:26,559 --> 00:12:29,440 Speaker 2: On another note, and this is something ambulance ramping is 273 00:12:29,480 --> 00:12:31,640 Speaker 2: something that's really it's not something that I've just heard 274 00:12:31,679 --> 00:12:33,200 Speaker 2: about in the last couple of years. It's it's gone 275 00:12:33,200 --> 00:12:34,960 Speaker 2: on for as long as I can remember. And there's 276 00:12:35,000 --> 00:12:37,080 Speaker 2: been a lot of talk about ambulances and ramping again 277 00:12:37,120 --> 00:12:39,440 Speaker 2: recently and people being encouraged not to call for one 278 00:12:39,520 --> 00:12:42,480 Speaker 2: or less absolutely necessary, which seems obvious to me. But 279 00:12:42,679 --> 00:12:45,640 Speaker 2: I mean, I cannot believe some of the people that 280 00:12:45,760 --> 00:12:49,280 Speaker 2: front to the emergency department, let alone call an ambulance 281 00:12:49,640 --> 00:12:51,760 Speaker 2: for things that they really shouldn't be calling them for. 282 00:12:51,880 --> 00:12:54,600 Speaker 2: When an ambulance shows up to one of these cases, 283 00:12:55,360 --> 00:12:58,400 Speaker 2: do they are they within their rights to say, listen, 284 00:12:58,960 --> 00:13:01,559 Speaker 2: you don't need us call your doctor in the morning, 285 00:13:02,559 --> 00:13:05,840 Speaker 2: and you know, or or do people have the right 286 00:13:05,880 --> 00:13:07,760 Speaker 2: to demand that they've be taken to hospital in the 287 00:13:07,760 --> 00:13:09,600 Speaker 2: ambulance with their stub toe. 288 00:13:10,000 --> 00:13:11,520 Speaker 3: I don't think they've got a right. I think that's 289 00:13:11,600 --> 00:13:14,800 Speaker 3: that's really a question for Saint John's. But if you 290 00:13:14,840 --> 00:13:17,480 Speaker 3: really look at that issue of the GP patients that 291 00:13:17,520 --> 00:13:20,280 Speaker 3: go to EDS, they're not they're not the patients that 292 00:13:20,679 --> 00:13:22,720 Speaker 3: the biggest problem because they get seen and they go home. 293 00:13:23,240 --> 00:13:25,640 Speaker 3: It's actually the patients, it's they're not the actual cause 294 00:13:25,679 --> 00:13:28,280 Speaker 3: of ramping. Ramping is caused by patients going to ED 295 00:13:28,400 --> 00:13:30,040 Speaker 3: that need to go into hospital and the hospital is 296 00:13:30,040 --> 00:13:33,160 Speaker 3: already full. So this is this is again a little 297 00:13:33,160 --> 00:13:35,359 Speaker 3: bit of a furfy in a little bit of a diversion. 298 00:13:36,960 --> 00:13:39,120 Speaker 3: I've said this before. The top three causes of ramping 299 00:13:39,679 --> 00:13:42,600 Speaker 3: lack of beds, lack of beds and lack of beds. 300 00:13:43,320 --> 00:13:45,720 Speaker 3: The Magaalan government over the last five years has not 301 00:13:45,840 --> 00:13:49,520 Speaker 3: invested in increasing the capacity of the medical system, and 302 00:13:49,800 --> 00:13:53,319 Speaker 3: ramping has increased from when they took over five times 303 00:13:53,640 --> 00:13:55,480 Speaker 3: on a steady increase. So it's not like this is 304 00:13:55,520 --> 00:13:57,200 Speaker 3: a big surprise in COVID all of a sudden has 305 00:13:57,200 --> 00:13:59,840 Speaker 3: gone smack and caused all this. This has been this 306 00:14:00,679 --> 00:14:02,760 Speaker 3: under investment in the system over five years by the 307 00:14:02,840 --> 00:14:06,480 Speaker 3: McGowan government, and now we're reaping the rewards of that 308 00:14:06,600 --> 00:14:07,720 Speaker 3: under investment. 309 00:14:07,360 --> 00:14:09,440 Speaker 1: Not rewards we want. And it sounds like Domino, So 310 00:14:09,520 --> 00:14:11,600 Speaker 1: I can cause a thing all the way down the 311 00:14:11,600 --> 00:14:12,719 Speaker 1: line there, mate. 312 00:14:12,559 --> 00:14:14,400 Speaker 3: It's becoming a perfect storm. I'm afraid. 313 00:14:14,480 --> 00:14:17,080 Speaker 2: All right, well, I think we'll have to really are 314 00:14:17,120 --> 00:14:21,280 Speaker 2: out of time. Always absolutely fantastic to talk to you, 315 00:14:21,440 --> 00:14:22,480 Speaker 2: Dr Mark Duncan Smith. 316 00:14:23,240 --> 00:14:24,920 Speaker 1: Have a great day you too, Thanks mate. 317 00:14:25,240 --> 00:14:27,240 Speaker 2: All right, hang on to your pants for this headline, 318 00:14:28,320 --> 00:14:34,960 Speaker 2: NASA to launch space nudes in hope of attracting aliens. Yeah, 319 00:14:35,280 --> 00:14:39,440 Speaker 2: searchers want to send illustrations of nude humans. Sorry, it's 320 00:14:39,480 --> 00:14:42,000 Speaker 2: a you know what pic into well, it's not really 321 00:14:42,160 --> 00:14:46,040 Speaker 2: into space, in the hope of attracting aliens. The unsolicited 322 00:14:46,760 --> 00:14:51,320 Speaker 2: space nudes won't be racy. They'll include a drawing of 323 00:14:51,360 --> 00:14:54,600 Speaker 2: a naked man and woman next to the DNA that 324 00:14:54,720 --> 00:14:57,600 Speaker 2: makes us up and so as not to appear threatening, 325 00:14:57,920 --> 00:15:03,920 Speaker 2: the pictures will be waving. The experts are hoping to 326 00:15:03,960 --> 00:15:07,400 Speaker 2: send a coded message to aliens with a beacon. In 327 00:15:07,440 --> 00:15:10,960 Speaker 2: the Galaxy proposal, which has been presented to NASA's Jet 328 00:15:10,960 --> 00:15:14,800 Speaker 2: Propulsion Laboratory, it calls for a binary coded message developed 329 00:15:14,800 --> 00:15:19,760 Speaker 2: for transmission to extraterrestrial intelligences etis. That's what we call 330 00:15:19,840 --> 00:15:23,280 Speaker 2: them these days in the Milky Way galaxy. NASA has 331 00:15:23,320 --> 00:15:26,680 Speaker 2: previously sent aspects of humanity into orbit trying to get 332 00:15:26,800 --> 00:15:30,520 Speaker 2: a little green Man bite, notably lyrics and quotes from 333 00:15:30,520 --> 00:15:33,960 Speaker 2: the Beatles in last year's Lucy mission, but there have 334 00:15:34,040 --> 00:15:38,800 Speaker 2: been no takers. Maybe they should have tried the stone obvious. 335 00:15:39,640 --> 00:15:43,360 Speaker 2: So this new proposal wants to focus on mathematics and physics. 336 00:15:43,720 --> 00:15:48,200 Speaker 2: We're aiming to their higher intelligence. Now, the scientist said this, 337 00:15:48,600 --> 00:15:53,720 Speaker 2: The scientists, yeah, yeah, this information is part of the 338 00:15:53,760 --> 00:15:57,000 Speaker 2: basic expectation of any message to an ETI, as it 339 00:15:57,040 --> 00:16:00,520 Speaker 2: allows recognition of our appearance, a detail of that, you know, 340 00:16:00,560 --> 00:16:03,960 Speaker 2: a given ETI of a given ETI that would no 341 00:16:04,000 --> 00:16:06,160 Speaker 2: doubt be of interest to us. So saying this is 342 00:16:06,160 --> 00:16:08,880 Speaker 2: what we'd be interested in if the you know, the 343 00:16:10,200 --> 00:16:11,680 Speaker 2: the on the other. 344 00:16:11,760 --> 00:16:14,280 Speaker 1: Hand, whatever space boot was on the other foot, and that. 345 00:16:14,600 --> 00:16:19,640 Speaker 2: Relevant, Yes, thank you and relevant. Should further exchanges be established, 346 00:16:19,880 --> 00:16:22,400 Speaker 2: or that should we someday physically. 347 00:16:21,880 --> 00:16:23,240 Speaker 1: Meet how bizarre. 348 00:16:23,800 --> 00:16:27,200 Speaker 2: Scientists have also attempted to depict gravity in image form 349 00:16:27,240 --> 00:16:31,600 Speaker 2: alongside the images of humans in a natural state. 350 00:16:32,400 --> 00:16:34,800 Speaker 1: Some of the bits look better in gravity. I don't know, 351 00:16:35,040 --> 00:16:35,640 Speaker 1: it's amazing. 352 00:16:35,880 --> 00:16:37,720 Speaker 2: Like I said, they're not going to communicate with us 353 00:16:37,760 --> 00:16:39,600 Speaker 2: because they think we're idiots. 354 00:16:39,720 --> 00:16:40,720 Speaker 1: Yeah, you're right. 355 00:16:41,200 --> 00:16:47,040 Speaker 2: More Lisa More podcasts soon ninety six. How to Please 356 00:16:47,080 --> 00:16:51,280 Speaker 2: a Woman is out May nineteen and it stars Cameron Daddo. 357 00:16:51,480 --> 00:16:55,720 Speaker 2: He joins us now at Cameron, are good. Now, if 358 00:16:55,720 --> 00:16:58,040 Speaker 2: we break this down to its simplest form, this is 359 00:16:58,040 --> 00:17:01,240 Speaker 2: a film about women asking for what they want at home, 360 00:17:01,480 --> 00:17:04,920 Speaker 2: at work, in the bedroom A Cameron, am I right? 361 00:17:05,040 --> 00:17:05,960 Speaker 2: And what's your role? 362 00:17:06,240 --> 00:17:10,679 Speaker 4: You are correct? And this is about women finding a voice. 363 00:17:11,040 --> 00:17:14,320 Speaker 4: And my role is the voice of the husband that's 364 00:17:14,359 --> 00:17:17,040 Speaker 4: not very good at listening or indeed in saying what 365 00:17:17,119 --> 00:17:21,880 Speaker 4: he needs. Okay, okay, Yes, I'm basically the catalyst done, 366 00:17:21,880 --> 00:17:24,119 Speaker 4: the catalyst for her doing all the things that she 367 00:17:24,240 --> 00:17:25,159 Speaker 4: does in the movie. 368 00:17:25,840 --> 00:17:28,199 Speaker 2: Right, did you say not very good at saying what 369 00:17:28,280 --> 00:17:28,840 Speaker 2: you need? 370 00:17:29,160 --> 00:17:29,520 Speaker 4: Correct? 371 00:17:30,680 --> 00:17:34,359 Speaker 1: A lot of that is not uncommon. Camera communication breakdown. 372 00:17:34,920 --> 00:17:37,439 Speaker 4: Just very often. 373 00:17:38,160 --> 00:17:41,119 Speaker 1: That's true. Yeah, you're true, it's true. 374 00:17:41,160 --> 00:17:45,760 Speaker 2: If you just said clearly, we often. 375 00:17:45,560 --> 00:17:48,360 Speaker 4: Don't know how to put the words together. They come out. 376 00:17:48,920 --> 00:17:51,520 Speaker 4: You know, our tone is all wrong and what we 377 00:17:51,640 --> 00:17:53,520 Speaker 4: actually say is not what we mean. 378 00:17:54,240 --> 00:17:57,040 Speaker 2: Yeah, you know, well, of course we're that. 379 00:17:57,200 --> 00:17:59,040 Speaker 1: We may not have discussed it with our mates for 380 00:17:59,080 --> 00:18:00,760 Speaker 1: hours and hours. It could be part of it. 381 00:18:00,800 --> 00:18:01,720 Speaker 2: That's part of your problem. 382 00:18:02,160 --> 00:18:03,240 Speaker 4: There you go, correct. 383 00:18:03,320 --> 00:18:07,280 Speaker 2: Now it's filmed right here in Perth and Fremantle. There's 384 00:18:07,400 --> 00:18:10,920 Speaker 2: still are so few films made here that I get 385 00:18:11,000 --> 00:18:13,800 Speaker 2: ridiculously excited when I see it on the big screen 386 00:18:14,400 --> 00:18:16,480 Speaker 2: and see places that I've you know, I've driven down 387 00:18:16,480 --> 00:18:19,080 Speaker 2: that road or I've been there. What kind of places 388 00:18:19,119 --> 00:18:20,600 Speaker 2: are we going to recognize in this one? 389 00:18:20,880 --> 00:18:23,040 Speaker 4: It's pretty much very Fremantle. 390 00:18:23,240 --> 00:18:24,919 Speaker 2: Okay, all right. 391 00:18:24,880 --> 00:18:26,800 Speaker 4: That's where we were. We're on the beach there at 392 00:18:26,920 --> 00:18:30,159 Speaker 4: Rio and a lot of the streets of Frio were used. 393 00:18:30,359 --> 00:18:31,080 Speaker 1: I love it. 394 00:18:31,119 --> 00:18:33,679 Speaker 4: I don't know why more films don't get made because 395 00:18:34,240 --> 00:18:36,520 Speaker 4: over well, I don't know why more films don't get made, 396 00:18:38,800 --> 00:18:42,639 Speaker 4: certainly in Perth and Fremantle or the great state of 397 00:18:42,680 --> 00:18:44,879 Speaker 4: Western Australia. It's so beautiful. 398 00:18:45,040 --> 00:18:48,399 Speaker 2: Yeah, we're chipping away, We're getting a few in here. 399 00:18:49,119 --> 00:18:51,080 Speaker 1: Trying to work on it and build the industry up 400 00:18:51,359 --> 00:18:53,160 Speaker 1: as much as we can. But I love that there's 401 00:18:53,160 --> 00:18:54,440 Speaker 1: a moment in the trailer. I don't want to give 402 00:18:54,440 --> 00:18:56,000 Speaker 1: too much away, but there is a moment in the 403 00:18:56,000 --> 00:18:58,520 Speaker 1: trailer that did make me laugh, and it's referring to 404 00:18:58,640 --> 00:19:02,480 Speaker 1: a very handsome gentleman offering his services and the response 405 00:19:02,560 --> 00:19:04,159 Speaker 1: that the woman gives him, which I believe is your 406 00:19:04,200 --> 00:19:06,600 Speaker 1: wife in the movie, did crack me up. And as 407 00:19:06,600 --> 00:19:08,560 Speaker 1: you can tell, I'm protecting the show from the trailer. 408 00:19:08,560 --> 00:19:11,320 Speaker 1: But there there were some wonderful moments in this out there. 409 00:19:12,200 --> 00:19:16,040 Speaker 4: Well, yeah there are, and I think that the movie 410 00:19:16,359 --> 00:19:19,240 Speaker 4: is something that all men. Doesn't matter what I hate, 411 00:19:19,320 --> 00:19:22,480 Speaker 4: you go see it because it can. Actually it's a 412 00:19:22,520 --> 00:19:25,600 Speaker 4: great life hack for getting a lot better with women, 413 00:19:25,800 --> 00:19:29,480 Speaker 4: and I think it'll be enjoyed by both male and female. 414 00:19:29,720 --> 00:19:31,680 Speaker 4: And indeed, my mate, well, while I was there, I 415 00:19:31,760 --> 00:19:34,560 Speaker 4: made a few friends the Royal Fremantle Golf Club, and 416 00:19:34,600 --> 00:19:36,160 Speaker 4: a few of those guys have seen it and they've 417 00:19:36,200 --> 00:19:36,760 Speaker 4: all thanked me. 418 00:19:39,200 --> 00:19:45,440 Speaker 2: Right, So take notes. It's got a great cast. Eric Thompson, 419 00:19:45,840 --> 00:19:48,320 Speaker 2: Tasma Walton, Carolin Brazier. If you worked with any of 420 00:19:48,359 --> 00:19:49,480 Speaker 2: these guys before. 421 00:19:49,400 --> 00:19:53,440 Speaker 4: I worked with Eric before, everybody else I hadn't worked 422 00:19:53,480 --> 00:19:56,600 Speaker 4: with before. But certainly a lot of these folks are 423 00:19:56,640 --> 00:20:01,119 Speaker 4: living in Perth and they're so good and it's like 424 00:20:01,160 --> 00:20:03,520 Speaker 4: it's Australia. We don't get a lot of chances to act, 425 00:20:03,560 --> 00:20:06,399 Speaker 4: and when the actors do get a shot, boy we 426 00:20:06,440 --> 00:20:08,760 Speaker 4: don't hold back and we've we really come through with 427 00:20:08,760 --> 00:20:09,080 Speaker 4: the goods. 428 00:20:09,119 --> 00:20:12,480 Speaker 1: It's great stuff, absolutely mate. What about you mentioned those 429 00:20:12,480 --> 00:20:16,800 Speaker 1: words we're making more movies full stop. Is funding still 430 00:20:16,840 --> 00:20:21,119 Speaker 1: that basic thing that can install so many potentially great productions? 431 00:20:21,359 --> 00:20:25,720 Speaker 4: Absolutely? Yeah, it is. Well, feature films don't usually make 432 00:20:25,720 --> 00:20:27,320 Speaker 4: a lot of money. That's I was seeing a lot 433 00:20:27,359 --> 00:20:30,480 Speaker 4: of the tent pole movies, like all the Marvel movies 434 00:20:30,560 --> 00:20:33,560 Speaker 4: and things like that. It's more now it's about bingeble 435 00:20:33,560 --> 00:20:36,560 Speaker 4: TV shows and things like that. But I think everything 436 00:20:36,600 --> 00:20:40,320 Speaker 4: moves in cycles and waves and hopefully, you know, as 437 00:20:40,320 --> 00:20:42,600 Speaker 4: long as we just keep making movies, there'll be a 438 00:20:42,640 --> 00:20:45,200 Speaker 4: resurgence and then you know, you're just going to stay 439 00:20:45,200 --> 00:20:47,520 Speaker 4: in it, stay in the game, keep going stories. 440 00:20:47,680 --> 00:20:49,680 Speaker 1: So where's home right now? You're living back in Australia 441 00:20:49,720 --> 00:20:50,560 Speaker 1: right now with a family? 442 00:20:50,640 --> 00:20:53,040 Speaker 4: Yes? Mate? Where We lived in la for twenty five 443 00:20:53,119 --> 00:20:55,800 Speaker 4: years and we moved back to Sydney four years ago. 444 00:20:56,359 --> 00:21:00,480 Speaker 2: It's twenty five years. What was the biggest thing you know, 445 00:21:00,520 --> 00:21:03,280 Speaker 2: apart from family obviously and friends, what was the biggest 446 00:21:03,280 --> 00:21:06,840 Speaker 2: thing about Australia that you missed or you were in la. 447 00:21:06,440 --> 00:21:10,320 Speaker 4: Apart from family, because that's why we came back. But look, 448 00:21:10,359 --> 00:21:14,280 Speaker 4: I would say I would say the geography and the mindset, 449 00:21:14,400 --> 00:21:17,280 Speaker 4: the Ausy sort of spirit and food. The food here 450 00:21:17,280 --> 00:21:20,560 Speaker 4: in Australia is I think is the best in the world. 451 00:21:20,960 --> 00:21:23,359 Speaker 4: So it was the holiday. The place is where we 452 00:21:23,400 --> 00:21:26,720 Speaker 4: can go, like going to Perth or Finn of Queensland 453 00:21:26,800 --> 00:21:29,680 Speaker 4: or down south and Kazzi in the middle as well. 454 00:21:29,720 --> 00:21:31,840 Speaker 4: I mean there's family place to go all right. 455 00:21:31,880 --> 00:21:35,000 Speaker 2: Well, How to Please a Woman is about May nineteen. 456 00:21:35,560 --> 00:21:38,240 Speaker 2: We can't wait to see it and all its fremantle glory, 457 00:21:38,320 --> 00:21:39,760 Speaker 2: Cameron Dadda, thank you for joining us. 458 00:21:39,800 --> 00:21:40,479 Speaker 1: It'll be catch up. 459 00:21:40,800 --> 00:21:42,520 Speaker 4: You are welcome. Thanks guys for your time. 460 00:21:42,680 --> 00:21:48,680 Speaker 1: Thanks Veron Okay B thirty six FM, Clezie and Lisa