1 00:00:06,240 --> 00:00:08,639 Speaker 1: This is the weekend edition of Fear and Greed business 2 00:00:08,680 --> 00:00:11,000 Speaker 1: news you can use. I'm Michael Thompson and good morning, 3 00:00:11,039 --> 00:00:11,719 Speaker 1: Sean Aylmer. 4 00:00:11,840 --> 00:00:13,080 Speaker 2: Good morning, Michael, Sean. 5 00:00:13,119 --> 00:00:16,040 Speaker 1: Our weekend show is vastly different to the weekday show. 6 00:00:16,120 --> 00:00:17,759 Speaker 1: It is all about the two of us, each nominating 7 00:00:17,800 --> 00:00:20,480 Speaker 1: what we think is the biggest business story of the week, 8 00:00:21,200 --> 00:00:24,959 Speaker 1: competing over the most remarkable story, a mystery category that 9 00:00:25,000 --> 00:00:28,240 Speaker 1: we change each week, and then our favorite business related story. 10 00:00:28,320 --> 00:00:30,000 Speaker 1: And it is a competition. As I said, so we 11 00:00:30,160 --> 00:00:33,320 Speaker 1: joined every week by a judge to pick a winner. 12 00:00:34,200 --> 00:00:37,160 Speaker 1: And that judge is our Fear and Greed colleague Adam 13 00:00:37,240 --> 00:00:38,840 Speaker 1: Lang Adam, good morning. 14 00:00:38,640 --> 00:00:42,440 Speaker 2: Hello, Michael, Adam in your mine, is a weekend show 15 00:00:42,520 --> 00:00:43,880 Speaker 2: better than the weekday show? 16 00:00:44,479 --> 00:00:45,760 Speaker 3: No? 17 00:00:45,760 --> 00:00:50,040 Speaker 4: No, because look one I have to work, do I 18 00:00:50,120 --> 00:00:51,920 Speaker 4: have to hear my own voice? 19 00:00:52,240 --> 00:00:55,160 Speaker 3: And three I actually really enjoy the weekday shows. 20 00:00:55,480 --> 00:00:57,279 Speaker 1: Well, that wasn't the answer we were looking for. 21 00:00:57,480 --> 00:00:59,440 Speaker 2: I mean, can you get over yourself just for a moment? 22 00:01:00,080 --> 00:01:03,600 Speaker 1: Yeah, Well, what are you looking for today? I know 23 00:01:03,640 --> 00:01:06,080 Speaker 1: that you don't like listening to the show, and clearly 24 00:01:06,080 --> 00:01:08,319 Speaker 1: you don't like taking part in the show, But what 25 00:01:08,360 --> 00:01:10,240 Speaker 1: are you looking for in order to give this the 26 00:01:10,240 --> 00:01:14,920 Speaker 1: best chance of success in our stories. You're judging criteria. 27 00:01:14,400 --> 00:01:19,839 Speaker 2: What are Let's actually use today's show to use jargon, Adam, 28 00:01:20,440 --> 00:01:25,000 Speaker 2: set us up for set us up for success. Categories 29 00:01:25,000 --> 00:01:27,800 Speaker 2: are so we circle back and see if it really 30 00:01:27,800 --> 00:01:28,920 Speaker 2: were to lean into it. 31 00:01:29,840 --> 00:01:31,080 Speaker 3: Okay, after leaning in. 32 00:01:31,120 --> 00:01:33,880 Speaker 1: Set us up for success, going give us the success 33 00:01:33,920 --> 00:01:37,080 Speaker 1: metrics KPIs for the show are. 34 00:01:38,000 --> 00:01:41,039 Speaker 4: Number one is economic impact. We want it to be timely, 35 00:01:41,160 --> 00:01:43,680 Speaker 4: of course, and topical. A bit of playing to my 36 00:01:43,800 --> 00:01:46,320 Speaker 4: subjective bias and bringing on some melodrama. 37 00:01:46,600 --> 00:01:49,360 Speaker 2: So just with those you and I have worked. We 38 00:01:49,400 --> 00:01:51,040 Speaker 2: worked at Fairfax and we used to have to put 39 00:01:51,080 --> 00:01:55,680 Speaker 2: a percentage waiting waiting, So economic was. 40 00:01:55,640 --> 00:01:57,480 Speaker 3: Like economic impact? 41 00:01:57,560 --> 00:02:01,120 Speaker 2: Oh, bs, bumpkin is the word of the week. 42 00:02:03,640 --> 00:02:09,720 Speaker 1: Really eight economic impact it is? I mean, you're clearly 43 00:02:09,760 --> 00:02:11,959 Speaker 1: you ignore your own criteria most. 44 00:02:13,040 --> 00:02:15,200 Speaker 2: So let's dump what one of us was going to 45 00:02:15,240 --> 00:02:18,919 Speaker 2: do for the biggest story. Yeah, oh wow, let's just 46 00:02:19,000 --> 00:02:20,560 Speaker 2: dump the whole reserve bank thing, you. 47 00:02:20,520 --> 00:02:23,000 Speaker 1: Know what, let's call it. Let's do it. Yeah, gone, 48 00:02:23,320 --> 00:02:27,240 Speaker 1: let okay, because well this is unauthored. Well last week 49 00:02:27,440 --> 00:02:30,560 Speaker 1: I'm going last week I threatened you with a. 50 00:02:30,520 --> 00:02:32,880 Speaker 3: Coup and fingers. 51 00:02:34,000 --> 00:02:37,840 Speaker 1: It's I don't have a coup arranged, but I've got 52 00:02:37,840 --> 00:02:39,600 Speaker 1: the next best thing and let that stop you, which 53 00:02:39,680 --> 00:02:42,880 Speaker 1: is collusion. And we are going to drop the biggest 54 00:02:42,919 --> 00:02:44,920 Speaker 1: story of the week being the Reserve Bank and the 55 00:02:44,960 --> 00:02:48,560 Speaker 1: economy because the economy always wins boring and so we're 56 00:02:50,000 --> 00:02:51,440 Speaker 1: But I take that as flattery. 57 00:02:51,720 --> 00:02:53,720 Speaker 2: Yeah, normally I do it, So I take it as 58 00:02:53,720 --> 00:02:56,600 Speaker 2: flattery too. But even I'm getting tired of the economy. 59 00:02:57,240 --> 00:02:59,080 Speaker 2: Hey say there is a back thet Guess what they 60 00:02:59,120 --> 00:03:01,520 Speaker 2: chatted that had a great time, nothing happened. 61 00:03:01,400 --> 00:03:06,600 Speaker 1: Ye, snore fest. So to avoid this show becoming a 62 00:03:06,639 --> 00:03:10,440 Speaker 1: snore fest as well, biggest story of the week gone, Well, 63 00:03:10,480 --> 00:03:11,959 Speaker 1: I mean, we're still going to do one, but it's 64 00:03:11,960 --> 00:03:14,000 Speaker 1: not going to be the economy and it's not going 65 00:03:14,040 --> 00:03:17,480 Speaker 1: to be Reserve Bank. Would you like to go first? 66 00:03:17,520 --> 00:03:19,800 Speaker 1: Then on the next biggest story. 67 00:03:19,560 --> 00:03:22,800 Speaker 2: The biggest story, even if you included the Reserve Bank 68 00:03:22,800 --> 00:03:25,120 Speaker 2: in there. This is big, big, big, big big. So 69 00:03:25,240 --> 00:03:27,519 Speaker 2: much going on this week, but the story that will 70 00:03:27,520 --> 00:03:33,880 Speaker 2: have a lasting impact that will impact every single investor. 71 00:03:34,120 --> 00:03:41,520 Speaker 2: Get this finger, every single investor, every superannuation member, every trustee, 72 00:03:42,120 --> 00:03:46,000 Speaker 2: it's assets take on public and private markets this week, 73 00:03:46,040 --> 00:03:48,800 Speaker 2: the Corporate Regulator released a bunch of reports, four or 74 00:03:48,800 --> 00:03:51,800 Speaker 2: five of them into markets, reports that have set the 75 00:03:51,800 --> 00:03:57,200 Speaker 2: benchmark for what it expects, particularly in private markets, private credit, 76 00:03:57,240 --> 00:04:00,360 Speaker 2: that's part of private markets, where public markets are going 77 00:04:01,360 --> 00:04:05,720 Speaker 2: in public markets sort of think equities. Things are going 78 00:04:05,760 --> 00:04:08,640 Speaker 2: on pretty well, basically what Asek said. Lots of bits 79 00:04:08,640 --> 00:04:12,880 Speaker 2: and pieces that could improve the market. The Asex Limited 80 00:04:12,920 --> 00:04:14,840 Speaker 2: the company needs to do a much better job as 81 00:04:14,880 --> 00:04:18,880 Speaker 2: a clearing house. You know, the Jaylongo, the ax Assex 82 00:04:19,120 --> 00:04:23,400 Speaker 2: chair mold, the concept of why does a ten million 83 00:04:23,440 --> 00:04:25,679 Speaker 2: dollar biotech have to do as much work as BHP. 84 00:04:26,080 --> 00:04:28,640 Speaker 2: So there's that stuff, but really the big stick came 85 00:04:28,640 --> 00:04:32,719 Speaker 2: out for the private markets and for private credit, private credit. 86 00:04:32,760 --> 00:04:34,919 Speaker 2: Private market's done well is a good thing, but it 87 00:04:34,960 --> 00:04:37,520 Speaker 2: ain't done well in Australia. That's basically what ask saying. 88 00:04:37,600 --> 00:04:42,280 Speaker 2: Bunch of things from governance and transparency, valuations, conflicts of interest, fees, 89 00:04:42,680 --> 00:04:50,680 Speaker 2: marketing need improvement. Otherwise the sector faces a Minskky moment, Adam, 90 00:04:50,720 --> 00:04:52,520 Speaker 2: do you have any idea what a Minsky moment is? 91 00:04:52,839 --> 00:04:55,000 Speaker 4: I do because I listened to the Daily Show, but 92 00:04:55,120 --> 00:04:58,800 Speaker 4: I'd forgotten all about the Minsky moment with Hyman P. 93 00:04:58,960 --> 00:05:04,520 Speaker 2: Minsky. Minski came up with the concept that things go 94 00:05:04,800 --> 00:05:10,679 Speaker 2: well overbought lots of debt crunch time. Yeah, ge longer 95 00:05:10,720 --> 00:05:15,520 Speaker 2: ways about the Minski hymen Pete minskiw moment, huge amount 96 00:05:15,520 --> 00:05:17,360 Speaker 2: of detail. We won't get into that. And I've got 97 00:05:17,360 --> 00:05:19,400 Speaker 2: to say I actually there was a bit of a disclaimer. 98 00:05:19,440 --> 00:05:22,000 Speaker 2: I did some work with Acik during the period on this, 99 00:05:22,440 --> 00:05:25,080 Speaker 2: but I think has pretty much set out it's guiding 100 00:05:25,320 --> 00:05:31,600 Speaker 2: principles and private credit operators be where you have been warned. 101 00:05:32,800 --> 00:05:35,320 Speaker 3: This is good. This is good good selling too. 102 00:05:35,440 --> 00:05:40,320 Speaker 1: Yeah, his biggest story is Asek endorsed like that. It's 103 00:05:40,360 --> 00:05:44,240 Speaker 1: hard for me to beat. Luckily, the melodrama component is 104 00:05:44,320 --> 00:05:47,160 Speaker 1: such a big carry, such heavy weighting. 105 00:05:47,400 --> 00:05:49,880 Speaker 2: Right, it's going to be at least six or seven percent. 106 00:05:50,080 --> 00:05:56,240 Speaker 1: Sixty or seventy percent. Here we go, Adam. That was 107 00:05:56,279 --> 00:05:59,600 Speaker 1: a big story. It was also a very Australian, very 108 00:05:59,680 --> 00:06:03,760 Speaker 1: kind of limited reach, limited scale in terms of global think, 109 00:06:03,800 --> 00:06:07,040 Speaker 1: global think global Remember we are a global podcast. As 110 00:06:07,040 --> 00:06:14,520 Speaker 1: we discussed last week. This week we saw investors getting nervous, 111 00:06:14,839 --> 00:06:21,240 Speaker 1: not just nervous, very very very nervous. The ASX hit 112 00:06:21,320 --> 00:06:25,039 Speaker 1: a oh brace yourself six week low. 113 00:06:31,720 --> 00:06:35,640 Speaker 2: You should have done. 114 00:06:35,680 --> 00:06:39,320 Speaker 1: But the thing is, I know, I'm I'm, I'm just 115 00:06:39,400 --> 00:06:42,800 Speaker 1: being a little bit silly. But investors are losing hope, 116 00:06:42,839 --> 00:06:46,520 Speaker 1: of course, that there will be more rape cuts the 117 00:06:46,640 --> 00:06:50,760 Speaker 1: reserve bank. There you go, sneak the reserve bank into 118 00:06:50,800 --> 00:06:53,120 Speaker 1: mine if you want to give me bonus points. Sell 119 00:06:53,160 --> 00:06:55,159 Speaker 1: offs all over the place. We had at various times 120 00:06:55,200 --> 00:06:58,320 Speaker 1: text stocks, mining stocks. How about that concern about that 121 00:06:58,480 --> 00:07:03,080 Speaker 1: massive iron ore mine, the largest untapped resource in the 122 00:07:03,120 --> 00:07:07,119 Speaker 1: world that China's going to develop in Africa, which could 123 00:07:07,520 --> 00:07:11,840 Speaker 1: entirely entirely it's in Guinea. I think it was, wasn't it. 124 00:07:12,000 --> 00:07:13,400 Speaker 2: Yeah, it's just not in the notes here. So I 125 00:07:13,440 --> 00:07:15,440 Speaker 2: was wondering with I know. 126 00:07:15,760 --> 00:07:20,200 Speaker 1: I don't need no Sean, I'm off book. I've studied this. 127 00:07:20,600 --> 00:07:22,960 Speaker 1: You are right, it's true. And the fact is that 128 00:07:22,960 --> 00:07:26,360 Speaker 1: that could entirely upend the world order as we know 129 00:07:26,440 --> 00:07:28,480 Speaker 1: when it comes to iron ore and iron are matters 130 00:07:28,480 --> 00:07:32,240 Speaker 1: to Australia big time, big time. On Wall Street, we 131 00:07:32,280 --> 00:07:36,440 Speaker 1: had the Magnificent seven tumbled to a degree as a 132 00:07:36,480 --> 00:07:38,800 Speaker 1: small tumble in the same let's. 133 00:07:38,320 --> 00:07:40,160 Speaker 2: Help with that. So ny video was then like eight 134 00:07:40,160 --> 00:07:44,280 Speaker 2: to ten percent. NY Video tumbled, others didn't, but there were. 135 00:07:44,160 --> 00:07:47,840 Speaker 1: Some drops totally. There was like two percent at various times, 136 00:07:47,880 --> 00:07:51,080 Speaker 1: but wild six week Oh you know, and that is 137 00:07:51,080 --> 00:07:54,400 Speaker 1: a tumble like if you were to fall two percent 138 00:07:54,560 --> 00:07:59,520 Speaker 1: as a person falling down a step. That was you 139 00:07:59,640 --> 00:08:05,400 Speaker 1: can He's like, we're coinitcoin. Bitcoin dropped below one hundred 140 00:08:05,440 --> 00:08:08,080 Speaker 1: thousand US dollars a unit for the first time since June, 141 00:08:08,600 --> 00:08:12,800 Speaker 1: into bear market territory. I was about to do a 142 00:08:12,800 --> 00:08:17,720 Speaker 1: bear growl. No, just for once, for once, my mind 143 00:08:17,760 --> 00:08:20,680 Speaker 1: actually went ahead of my mouth. I'm quite proud of 144 00:08:21,800 --> 00:08:25,280 Speaker 1: the price of gold fell. Just everywhere you look there 145 00:08:25,480 --> 00:08:30,440 Speaker 1: there were selfs. It wasn't a panic. Markets aren't crashing, 146 00:08:31,880 --> 00:08:36,400 Speaker 1: and there were rebounds here and there. But but you 147 00:08:36,480 --> 00:08:39,079 Speaker 1: need to read between the lines of this atom, and 148 00:08:39,120 --> 00:08:40,800 Speaker 1: you know what it tells us. It tells us that 149 00:08:40,880 --> 00:08:45,600 Speaker 1: investors are nervous. They are perhaps a little bit anxious. 150 00:08:45,960 --> 00:08:49,120 Speaker 1: They are feeling that unease that can only come from 151 00:08:49,800 --> 00:08:52,000 Speaker 1: a period where markets have been very good for a 152 00:08:52,160 --> 00:08:54,720 Speaker 1: very long period of time and we're starting to feel 153 00:08:55,880 --> 00:08:59,880 Speaker 1: the pressure, right. I suspect that we will look back 154 00:09:00,200 --> 00:09:04,400 Speaker 1: on this week there's six week low on the ASX, 155 00:09:06,080 --> 00:09:08,440 Speaker 1: and realized that this was a pivotal moment and that 156 00:09:08,559 --> 00:09:13,680 Speaker 1: life life may never be the same or investors here 157 00:09:14,040 --> 00:09:15,680 Speaker 1: or around them out help him out. 158 00:09:16,679 --> 00:09:20,240 Speaker 4: Great cell, but gave it everything you did, but unfortunately 159 00:09:20,320 --> 00:09:26,480 Speaker 4: the substance wasn't quite there. Look in terms of mecond 160 00:09:26,480 --> 00:09:29,040 Speaker 4: of betting packed, I agree there is anxiety nervous in 161 00:09:29,080 --> 00:09:32,160 Speaker 4: the market, but so many nerves. But I actually really 162 00:09:32,280 --> 00:09:35,920 Speaker 4: enjoyed the Assex statements during the week. 163 00:09:36,080 --> 00:09:36,720 Speaker 2: Did you read them? 164 00:09:37,320 --> 00:09:38,240 Speaker 3: Not entirely? 165 00:09:38,480 --> 00:09:38,680 Speaker 2: Well? 166 00:09:38,800 --> 00:09:44,040 Speaker 4: I actually relied on your reporting, Sean, Did you. 167 00:09:43,520 --> 00:09:46,320 Speaker 3: I might have written them. 168 00:09:46,559 --> 00:09:49,080 Speaker 1: I was hoping i'd read them, considering you wrote them. 169 00:09:49,400 --> 00:09:51,760 Speaker 2: No, no, no, no, let's clear clarify. I didn't. I 170 00:09:51,800 --> 00:09:54,720 Speaker 2: helped with the drafting. It's not fair, as I wrote, 171 00:09:55,160 --> 00:09:59,000 Speaker 2: there's any TYPEO very good, very good, if there's any 172 00:09:59,000 --> 00:09:59,679 Speaker 2: type as. 173 00:10:02,720 --> 00:10:05,559 Speaker 4: I thought, it was great actually, and I love the 174 00:10:05,640 --> 00:10:08,880 Speaker 4: distinction on regulation between a small company and a big 175 00:10:08,920 --> 00:10:10,360 Speaker 4: I think, God, that's such. 176 00:10:10,200 --> 00:10:11,200 Speaker 3: A welcome approach. 177 00:10:12,320 --> 00:10:15,559 Speaker 4: And yeah, look, private market's private credit has grown so 178 00:10:15,760 --> 00:10:18,280 Speaker 4: so so much so that there's a huge bellcove who's 179 00:10:18,320 --> 00:10:21,960 Speaker 4: doing it, perhaps well with good scripting and regulation, others 180 00:10:21,960 --> 00:10:24,200 Speaker 4: perhaps who aren't. So I think it's it's really welcome 181 00:10:24,240 --> 00:10:26,080 Speaker 4: for investors. Good on showing you in. 182 00:10:26,320 --> 00:10:28,480 Speaker 2: So I reckon I would have smashed you by like 183 00:10:28,520 --> 00:10:29,120 Speaker 2: two points. 184 00:10:29,160 --> 00:10:33,120 Speaker 1: Then yeah, a solid smashing. That's like one of the 185 00:10:33,200 --> 00:10:35,240 Speaker 1: that's a tumbles by my stairs. 186 00:10:35,080 --> 00:10:36,319 Speaker 3: That could even be three. 187 00:10:36,840 --> 00:10:40,440 Speaker 1: Holy smoke, god, it is on. Well, lucky for me, 188 00:10:40,559 --> 00:10:44,720 Speaker 1: I have got the best, most remarkable story for imaginable 189 00:10:45,840 --> 00:10:54,120 Speaker 1: Tesla shareholders approving approving the biggest executive pay deal in history, 190 00:10:54,160 --> 00:10:55,320 Speaker 1: which could see. 191 00:10:55,200 --> 00:10:56,839 Speaker 2: You prove that it's the biggest executive deal. 192 00:10:56,880 --> 00:10:59,520 Speaker 1: Yes, checked, I checked all of history this morning, just 193 00:10:59,559 --> 00:11:02,800 Speaker 1: had a quick flip through the historycluding others. 194 00:11:03,800 --> 00:11:11,680 Speaker 2: Then yes, the encyclopedia used all of yesta, all of 195 00:11:11,720 --> 00:11:19,760 Speaker 2: them World book encyclopedias. That was every school. Yeah thing, 196 00:11:20,120 --> 00:11:20,640 Speaker 2: it was great. 197 00:11:21,080 --> 00:11:25,400 Speaker 1: And projects yeah, we bought ours from a door to 198 00:11:25,440 --> 00:11:27,960 Speaker 1: door sales. Oh yeah, it was great. They came to 199 00:11:28,000 --> 00:11:30,760 Speaker 1: the door in Antie and knocked on the door and 200 00:11:30,760 --> 00:11:33,560 Speaker 1: we brought us out of World Book Encyclopedia. It's great. 201 00:11:33,600 --> 00:11:35,000 Speaker 1: I want to go back and read through them and 202 00:11:35,000 --> 00:11:36,560 Speaker 1: just see how much things have changed. 203 00:11:37,240 --> 00:11:44,679 Speaker 3: It's last smell of them. 204 00:11:45,440 --> 00:11:47,320 Speaker 2: Were to go with you? 205 00:11:47,840 --> 00:11:50,720 Speaker 1: Awesome and it does. It sounds nice too when you 206 00:11:50,760 --> 00:11:55,880 Speaker 1: crack the spot. Yes, anyway, anyway, Tesla, this could see 207 00:11:56,160 --> 00:12:00,440 Speaker 1: Elon Musk become the world's first trillionaire. So the vote 208 00:12:00,480 --> 00:12:03,080 Speaker 1: pass with seventy five percent support, and it gives Mask 209 00:12:03,200 --> 00:12:05,880 Speaker 1: up to four hundred and twenty three million Tesla shares 210 00:12:05,920 --> 00:12:08,240 Speaker 1: over the next decade. The thing is, though, he has 211 00:12:08,280 --> 00:12:10,640 Speaker 1: to hit a string of milestones for this, and they're 212 00:12:10,640 --> 00:12:12,280 Speaker 1: actually worth kind of looking at a little bit of 213 00:12:12,320 --> 00:12:16,680 Speaker 1: detail because they're quite funny to get not necessarily funny, 214 00:12:16,760 --> 00:12:17,720 Speaker 1: but extreme. 215 00:12:18,040 --> 00:12:19,959 Speaker 3: Okay, to get. 216 00:12:19,760 --> 00:12:23,120 Speaker 1: The full payout, he needs to lift Tesla's market cap 217 00:12:23,800 --> 00:12:27,040 Speaker 1: from one and a half trillion US dollars to eight 218 00:12:27,120 --> 00:12:30,280 Speaker 1: point five trillion by the end of the decade. Right, 219 00:12:30,320 --> 00:12:34,199 Speaker 1: so that's fairly significant growth in not a huge amount 220 00:12:34,200 --> 00:12:38,880 Speaker 1: of time. He needs to sell twelve million more evs. 221 00:12:40,200 --> 00:12:41,920 Speaker 1: He needs to launch, and this is where I think 222 00:12:41,960 --> 00:12:45,040 Speaker 1: it's going to get tricky. He needs to launch a 223 00:12:45,160 --> 00:12:50,800 Speaker 1: robotaxi fleet with one million vehicles, and he needs to 224 00:12:50,880 --> 00:12:55,920 Speaker 1: sell one million humanoid robots. And so this is really 225 00:12:56,000 --> 00:12:59,000 Speaker 1: trying to put the pressure on him now to help 226 00:12:59,080 --> 00:13:02,880 Speaker 1: shift this from just an EV maker into that AI 227 00:13:03,000 --> 00:13:07,080 Speaker 1: space and capable of not just developing the technology but 228 00:13:07,200 --> 00:13:11,959 Speaker 1: producing it at scale. Right, the first payout will kick 229 00:13:12,000 --> 00:13:17,000 Speaker 1: in once Tesla hits two trillion dollars the AGM, right, 230 00:13:17,960 --> 00:13:22,319 Speaker 1: the AGM is worth a mention Rob Denham, And this 231 00:13:22,360 --> 00:13:24,360 Speaker 1: is where this all came out, that in fact, that 232 00:13:24,360 --> 00:13:27,360 Speaker 1: that shareholders had approved it, she had warned that Musk 233 00:13:27,559 --> 00:13:30,280 Speaker 1: might walk if the deal failed. That there was no 234 00:13:30,480 --> 00:13:34,000 Speaker 1: Musk was Elon mark too. There isn't a second one. 235 00:13:34,120 --> 00:13:35,800 Speaker 1: I mean, obviously he is one of a kind. 236 00:13:36,480 --> 00:13:38,360 Speaker 2: She's saying that as a plus for minus. 237 00:13:38,600 --> 00:13:39,240 Speaker 3: I don't know. 238 00:13:39,400 --> 00:13:43,160 Speaker 1: I think it's opened to interpretation. Shot and some investors 239 00:13:43,200 --> 00:13:46,800 Speaker 1: have argued that it was excessive, like small investors like 240 00:13:46,880 --> 00:13:50,920 Speaker 1: Norway's Sovereign Wealth Fund, who maybe they've got a point. 241 00:13:51,040 --> 00:13:53,280 Speaker 1: I don't know, maybe just on the surface of maybe 242 00:13:53,280 --> 00:13:55,400 Speaker 1: they do. The final word, though, does have to go 243 00:13:55,440 --> 00:13:59,319 Speaker 1: to the big fella himself. Elon walked out on stage 244 00:13:59,520 --> 00:14:04,360 Speaker 1: at the AGM. It was in Austin, surrounded by dancing robots, 245 00:14:04,480 --> 00:14:06,439 Speaker 1: and if you haven't seen the footage, you need to 246 00:14:06,520 --> 00:14:10,440 Speaker 1: check it. It looks like they're doing the locomotion yes, yes, yes, 247 00:14:10,800 --> 00:14:14,480 Speaker 1: and yeah. And the words that he used were I 248 00:14:14,600 --> 00:14:18,520 Speaker 1: super appreciate it, which is just the most Elon Musk 249 00:14:18,679 --> 00:14:21,240 Speaker 1: kind of thing to say when someone when a group 250 00:14:21,280 --> 00:14:23,920 Speaker 1: of shareholders have just voted in favor of you potentially 251 00:14:24,000 --> 00:14:27,760 Speaker 1: receiving up to a trillion dollars in value. I super 252 00:14:27,760 --> 00:14:30,880 Speaker 1: appreciate it. I'm not surprised. I would super appreciate that 253 00:14:30,920 --> 00:14:33,040 Speaker 1: as well. I just think it is a remarkable story. 254 00:14:33,120 --> 00:14:36,200 Speaker 1: And you don't even need melodrama, because every part of 255 00:14:36,240 --> 00:14:39,080 Speaker 1: that is melodramatic, right, Sean. 256 00:14:39,320 --> 00:14:45,040 Speaker 2: So that is remarkable. It's just fun remarkable. But given 257 00:14:45,040 --> 00:14:48,160 Speaker 2: eighty percent is about economic impact, Yes, eighty percent about 258 00:14:48,240 --> 00:14:49,440 Speaker 2: economic impact. 259 00:14:49,120 --> 00:14:51,360 Speaker 1: Which we also agreed was BS and we were going 260 00:14:51,400 --> 00:14:54,920 Speaker 1: to ignore it. You said that, I said, I said 261 00:14:54,920 --> 00:14:57,600 Speaker 1: the BS and the words were let's just ignore him. 262 00:14:58,320 --> 00:15:04,720 Speaker 2: No, I said, Bumpkin, Yes, so how do you fight that? 263 00:15:05,960 --> 00:15:08,480 Speaker 2: We'll probably never get there, but you know, it's still 264 00:15:08,920 --> 00:15:13,120 Speaker 2: but no economic impact on anyone whatsoever, not for ten 265 00:15:13,200 --> 00:15:17,640 Speaker 2: years anyway. What does matter is how many public servants 266 00:15:17,640 --> 00:15:21,520 Speaker 2: we've got out there, how much of our taxpayer dollar 267 00:15:21,640 --> 00:15:29,320 Speaker 2: money is going to federal, state, and local government wages. 268 00:15:29,520 --> 00:15:33,840 Speaker 2: I've never seen someone get people, we the people, or 269 00:15:33,880 --> 00:15:39,200 Speaker 2: the taxpayer one quarter of a trillion dollars every year 270 00:15:39,280 --> 00:15:44,440 Speaker 2: to remunerate public servants, up sixteen percent over two years. 271 00:15:44,600 --> 00:15:50,040 Speaker 2: The numbers are staggering states and territories two million people. 272 00:15:50,800 --> 00:15:53,480 Speaker 2: That's more than three quarters of it. I mean, do 273 00:15:53,520 --> 00:15:56,840 Speaker 2: we need police, do we need do we need teachers, 274 00:15:57,080 --> 00:16:01,760 Speaker 2: age care assistance? Let's face it, most of these jobs 275 00:16:01,840 --> 00:16:06,840 Speaker 2: up there, yes, but do we need two million people 276 00:16:07,240 --> 00:16:11,160 Speaker 2: in state territory governments? The common Wealth's wages bills growing 277 00:16:11,200 --> 00:16:14,160 Speaker 2: fastest now employs three hundred and eighty six thousand people, 278 00:16:14,560 --> 00:16:19,040 Speaker 2: forty one billion dollars and not many police outside the AFP. 279 00:16:20,000 --> 00:16:22,280 Speaker 2: You know what about teacher It's not sure as many 280 00:16:22,400 --> 00:16:26,000 Speaker 2: educators in that could, but don't know. They're up twenty 281 00:16:26,040 --> 00:16:28,120 Speaker 2: percent out of the last couple of years. The labor government 282 00:16:28,160 --> 00:16:30,800 Speaker 2: said it wanted to stop using consultants start using full 283 00:16:30,840 --> 00:16:36,320 Speaker 2: time workers. Well they've certainly done that, haven't Litle government? 284 00:16:36,320 --> 00:16:39,640 Speaker 2: Two hundred and eighteen thousand people. You have the number 285 00:16:39,640 --> 00:16:45,640 Speaker 2: of people employed by governments, yes, two point six million. 286 00:16:45,760 --> 00:16:48,600 Speaker 2: They're about twenty one point five million ossie adults about 287 00:16:48,600 --> 00:16:52,920 Speaker 2: seven hundred thousand unemployed. Therefore, throw it into the blender. 288 00:16:53,000 --> 00:16:54,400 Speaker 2: Did we decide rather than the mixed month? 289 00:16:54,520 --> 00:16:56,360 Speaker 1: Oh yeah, I think we did. Chuck it in therebl 290 00:16:56,440 --> 00:16:58,040 Speaker 1: have one the brevel blender. 291 00:16:58,680 --> 00:16:59,720 Speaker 2: Throw it into brevel blend. 292 00:17:00,040 --> 00:17:01,280 Speaker 1: He's one of the stick mixes. 293 00:17:01,360 --> 00:17:01,720 Speaker 3: You know that. 294 00:17:05,520 --> 00:17:07,480 Speaker 2: Anyway, we're throwing it into it. 295 00:17:08,400 --> 00:17:09,200 Speaker 1: This is audio. 296 00:17:09,400 --> 00:17:13,080 Speaker 2: Fortunately no one saw the video of that. One in 297 00:17:13,160 --> 00:17:17,320 Speaker 2: eight jobs in this country is a government job that 298 00:17:18,280 --> 00:17:21,960 Speaker 2: is truly remarkable. In fact, big government is about the 299 00:17:22,000 --> 00:17:25,520 Speaker 2: only issue the federal opposition is getting any traction at 300 00:17:25,560 --> 00:17:29,520 Speaker 2: the moment. Big government boost sagreg demand. Of course it 301 00:17:29,560 --> 00:17:34,520 Speaker 2: adds to inflationary pressures. Whatever. Jim Chalmers says, big, big, big, 302 00:17:34,640 --> 00:17:36,240 Speaker 2: big government. Remarkable. 303 00:17:36,920 --> 00:17:39,399 Speaker 1: You have an opportunity to just really get a bull's 304 00:17:39,400 --> 00:17:43,119 Speaker 1: eye on the on the subjective bias here call for 305 00:17:43,240 --> 00:17:47,240 Speaker 1: the abolition of one level of government to the state. 306 00:17:47,280 --> 00:17:50,199 Speaker 2: State government. Doesn't like state, doesn't like state government. But 307 00:17:50,240 --> 00:17:56,000 Speaker 2: why would we abolish state governments when there's two million workers? Why? Why? 308 00:17:56,080 --> 00:18:03,400 Speaker 4: The answer is in the question, oh god, it's very 309 00:18:03,480 --> 00:18:08,439 Speaker 4: rare that a tear comes to my eye. Perfect point, Sean, 310 00:18:08,560 --> 00:18:17,760 Speaker 4: you win. There is so much in that story. And look, 311 00:18:17,840 --> 00:18:21,240 Speaker 4: you think an acre of space for the opposition to 312 00:18:21,359 --> 00:18:24,760 Speaker 4: make really good fist of those arguments. Michael, yours is 313 00:18:24,800 --> 00:18:26,720 Speaker 4: a ripper, right, it. 314 00:18:26,880 --> 00:18:30,440 Speaker 1: Is, Adam, it is. The scores would not suggest so well. 315 00:18:30,480 --> 00:18:33,800 Speaker 3: It was a narrow loss that's of any comfort. 316 00:18:33,920 --> 00:18:35,720 Speaker 1: It is not, it is of little comfort. 317 00:18:36,880 --> 00:18:39,120 Speaker 3: I just think it's ridiculous. 318 00:18:39,560 --> 00:18:42,560 Speaker 4: It is remarkable, so I'll use that word. The amount 319 00:18:42,600 --> 00:18:45,280 Speaker 4: of money involved, like what at what level will he 320 00:18:45,400 --> 00:18:46,600 Speaker 4: feel loved. 321 00:18:46,520 --> 00:18:47,720 Speaker 3: Enough to do his job? 322 00:18:47,960 --> 00:18:50,840 Speaker 4: I just think the company shouldn't be public and behave 323 00:18:50,920 --> 00:18:53,320 Speaker 4: like that. 324 00:18:53,320 --> 00:18:56,400 Speaker 3: There's eleven you know, the X one x two. 325 00:18:59,359 --> 00:19:05,280 Speaker 4: So yeah, remarkable achievement by him, incredible paypacket. But I 326 00:19:05,359 --> 00:19:10,560 Speaker 4: just think it's it's too much anyway, great story, just 327 00:19:10,600 --> 00:19:14,000 Speaker 4: not great enough on this occasion when we're talking about 328 00:19:14,000 --> 00:19:16,439 Speaker 4: the economy of Australia, it doesn't actually have as much 329 00:19:16,480 --> 00:19:17,760 Speaker 4: impact as the public service. 330 00:19:17,800 --> 00:19:21,520 Speaker 1: You know what, though, I reckon by making it eighty 331 00:19:21,560 --> 00:19:27,480 Speaker 1: percent economic impact, you have this show boring as heck, 332 00:19:28,240 --> 00:19:32,720 Speaker 1: you have ruined it, you know, doubt attack the judge. 333 00:19:32,760 --> 00:19:35,320 Speaker 1: Now I'm not attacking the judge. I'm attacking actually, yes 334 00:19:35,400 --> 00:19:38,639 Speaker 1: I am. And you know what, remember this, people of Australia. 335 00:19:39,400 --> 00:19:41,720 Speaker 1: Next time I call for a coup, get in touch 336 00:19:41,760 --> 00:19:45,280 Speaker 1: and get involved, because I put that call out last week, 337 00:19:45,560 --> 00:19:46,720 Speaker 1: went out into a vacuum. 338 00:19:46,840 --> 00:19:48,720 Speaker 2: Right, no one, I'm calling for. 339 00:19:48,680 --> 00:19:51,800 Speaker 1: A break Okay, that's fair. We'll take a quick break 340 00:19:52,680 --> 00:20:02,160 Speaker 1: back in a moment. All right, Sean, we are looking 341 00:20:02,200 --> 00:20:07,040 Speaker 1: now for our mystery category of the week. There's a 342 00:20:07,040 --> 00:20:10,840 Speaker 1: few options around, but we've gone for our favorite health 343 00:20:11,240 --> 00:20:12,760 Speaker 1: story because. 344 00:20:12,840 --> 00:20:15,240 Speaker 2: There are some good options, great options. 345 00:20:14,840 --> 00:20:19,719 Speaker 1: And you go first because mine is better than yours. 346 00:20:22,560 --> 00:20:25,159 Speaker 2: Good, So I presume that means yours is going to 347 00:20:25,240 --> 00:20:28,760 Speaker 2: impact a lot more people than mine, because mine impacts 348 00:20:28,840 --> 00:20:31,240 Speaker 2: every smart watch we're out. 349 00:20:31,040 --> 00:20:34,280 Speaker 1: There, Mine hopefully impacts every person in the world because 350 00:20:34,520 --> 00:20:36,800 Speaker 1: we were trends and. 351 00:20:36,760 --> 00:20:39,280 Speaker 3: As I look around, all three of us are wearing smart. 352 00:20:38,960 --> 00:20:43,480 Speaker 2: Watches, and none of us do what Michael's talking about. 353 00:20:44,040 --> 00:20:47,760 Speaker 2: Just pointing it out. The use of smart watches to 354 00:20:47,840 --> 00:20:52,160 Speaker 2: diagnose heart conditions. Using an Apple Watch an AI tool, 355 00:20:52,280 --> 00:20:55,840 Speaker 2: scientists have been able to uncover structural heart problems. It's 356 00:20:55,880 --> 00:20:59,560 Speaker 2: called cardiology diagnostics. Well, that's not surprising, isn't it. 357 00:21:00,160 --> 00:21:01,119 Speaker 3: I wonder what it does. 358 00:21:01,520 --> 00:21:05,720 Speaker 2: The field is called cardiology diagnostics. H that's interesting. The 359 00:21:05,800 --> 00:21:13,680 Speaker 2: new technique found conditions including weakened pumping ability, damaged vowels, 360 00:21:15,320 --> 00:21:23,440 Speaker 2: and thickened muscles. Already, wearables can detect rhythm disorders, but 361 00:21:23,560 --> 00:21:26,159 Speaker 2: this new study suggests there's much much more. You know, 362 00:21:26,280 --> 00:21:29,800 Speaker 2: damaged vowels thick and muscles, pumping ability. The scientists use 363 00:21:29,960 --> 00:21:34,120 Speaker 2: simple readouts of heart electrical activity from smart watches through 364 00:21:34,560 --> 00:21:41,080 Speaker 2: the AI machine, and voila, we are finding weakened pumping abilities, 365 00:21:41,200 --> 00:21:45,359 Speaker 2: thick and muscles, and damaged valves. I'm just delaying this 366 00:21:45,440 --> 00:21:47,760 Speaker 2: because you two children are off giggling in the corner. 367 00:21:47,960 --> 00:21:53,959 Speaker 2: I'm fine, just Michael's gone off, Mike totally. The scientists 368 00:21:54,040 --> 00:21:57,159 Speaker 2: used simple readouts of heart electrical activity from smart watches. 369 00:21:59,080 --> 00:22:03,439 Speaker 2: I'm just saying the same. It's again because it's a 370 00:22:03,440 --> 00:22:05,760 Speaker 2: preliminary study hadn't been peer reviewed, right, but it wasn't 371 00:22:05,800 --> 00:22:09,840 Speaker 2: rail that the American Heart Association annual scientific session. Wouldn't 372 00:22:09,880 --> 00:22:12,520 Speaker 2: that be fun? I reckon the Heart Associations and your 373 00:22:12,520 --> 00:22:16,560 Speaker 2: scientific session? Yeah, scientists said the fun The findings have 374 00:22:16,600 --> 00:22:20,320 Speaker 2: the potential to transform structural heart disease screening in communities. 375 00:22:20,480 --> 00:22:24,520 Speaker 2: Everyone wear a smart watch and be screened for these illnesses. 376 00:22:25,680 --> 00:22:29,240 Speaker 2: It's incredible, quite incredible. Michael, you settled your sort. 377 00:22:29,520 --> 00:22:31,800 Speaker 1: I've been here the whole time, Sean, you have. There 378 00:22:33,280 --> 00:22:38,960 Speaker 1: is nothing funny about that. Are you done? It felt 379 00:22:39,359 --> 00:22:43,360 Speaker 1: naturally long, though, felt did feel like you were under 380 00:22:43,359 --> 00:22:48,840 Speaker 1: the disk giggling there. I was taking a moment, Adam, 381 00:22:49,119 --> 00:22:53,119 Speaker 1: there is a small island nation in the Indian Ocean. 382 00:22:54,640 --> 00:22:55,560 Speaker 1: Why are you blinking out? 383 00:22:55,640 --> 00:22:56,320 Speaker 2: We have a clue. 384 00:22:56,200 --> 00:22:58,080 Speaker 3: What do you mean Australia. 385 00:22:58,520 --> 00:23:02,080 Speaker 1: No, we're not a small thing, smaller and now we 386 00:23:02,119 --> 00:23:04,920 Speaker 1: had a disagreement Sean this week about the pronunciation of 387 00:23:04,960 --> 00:23:08,359 Speaker 1: the mold Eaves and I've landed, yeah, going with the 388 00:23:08,359 --> 00:23:10,879 Speaker 1: mold Eaves because I consulted with some people in the 389 00:23:10,880 --> 00:23:15,200 Speaker 1: travel industry. How do you do yeah, exactly the Well, no, 390 00:23:15,240 --> 00:23:18,440 Speaker 1: they weren't molded, but the people are. I knew someone 391 00:23:18,440 --> 00:23:19,600 Speaker 1: who was well correct. 392 00:23:19,680 --> 00:23:20,000 Speaker 3: Okay. 393 00:23:21,040 --> 00:23:26,159 Speaker 1: The mold Eaves has become the first country on Earth, 394 00:23:26,440 --> 00:23:31,080 Speaker 1: the entire planet, to ban smoking for a whole generation, 395 00:23:31,560 --> 00:23:36,600 Speaker 1: and I think, no, I don't think. I believe wholeheartedly 396 00:23:37,000 --> 00:23:39,159 Speaker 1: that they should be applauded for it and that we 397 00:23:39,200 --> 00:23:42,560 Speaker 1: should all be following suit. Australia should be doing the same, 398 00:23:42,600 --> 00:23:44,840 Speaker 1: the US should be doing the same, Everyone should be 399 00:23:44,880 --> 00:23:47,119 Speaker 1: doing the same. Tobacco outlawed in the mold Eaves for 400 00:23:47,200 --> 00:23:50,440 Speaker 1: anyone born after the first of January two thousand and seven. 401 00:23:51,200 --> 00:23:53,639 Speaker 1: Last year they did a nationwide vaping ban, so that 402 00:23:53,720 --> 00:23:56,680 Speaker 1: was a great start. They've decided that worked. They've gone 403 00:23:56,720 --> 00:23:59,480 Speaker 1: one step further. The Health Ministry there and this is 404 00:23:59,480 --> 00:24:01,240 Speaker 1: the reasoning for it. It says that it reflects a 405 00:24:01,280 --> 00:24:05,160 Speaker 1: commitment to protect young people from addiction. And they say 406 00:24:05,560 --> 00:24:08,720 Speaker 1: that they believe it's not going to hurt tourism. They 407 00:24:08,720 --> 00:24:11,639 Speaker 1: say that visitors come for the fresh air, not the smoke. 408 00:24:12,480 --> 00:24:16,320 Speaker 1: Makes sense, right, The thing is here. New Zealand tried 409 00:24:16,400 --> 00:24:18,480 Speaker 1: a similar band and I talked about it on this 410 00:24:18,640 --> 00:24:21,920 Speaker 1: show as my favorite story of the week two years ago. 411 00:24:22,320 --> 00:24:24,000 Speaker 1: Yes I did, Yes. 412 00:24:23,840 --> 00:24:24,120 Speaker 3: I did. 413 00:24:24,440 --> 00:24:26,680 Speaker 2: Reheating. Reheating an old story. 414 00:24:26,800 --> 00:24:32,800 Speaker 1: The problem is no. The thing is they tried it 415 00:24:33,640 --> 00:24:36,240 Speaker 1: and it got overruled. Right, they had to du it 416 00:24:36,359 --> 00:24:40,560 Speaker 1: when the government. I don't know whether I won last time, Sean, 417 00:24:40,680 --> 00:24:44,560 Speaker 1: I was making that up. Okay, maybe I won, maybe 418 00:24:44,600 --> 00:24:46,960 Speaker 1: I didn't. But you know what Adam has shown us. 419 00:24:46,960 --> 00:24:53,800 Speaker 1: The precedent matters little in this show. Criteria matter little, Integrity, 420 00:24:53,840 --> 00:25:00,280 Speaker 1: honor matter little. In the end, Sean, Adam with the 421 00:25:00,280 --> 00:25:03,119 Speaker 1: people Australia needs to do this. New Zealand tried it. 422 00:25:04,440 --> 00:25:05,920 Speaker 2: Now now you're this day. 423 00:25:05,960 --> 00:25:08,120 Speaker 1: No no, no. I was wanted to say it fell over 424 00:25:08,160 --> 00:25:10,959 Speaker 1: when the government changed in twenty twenty three. Right and 425 00:25:11,000 --> 00:25:14,359 Speaker 1: so it just became political when it should be above politics. 426 00:25:14,480 --> 00:25:18,159 Speaker 1: This is about public health. The UK is trying something 427 00:25:18,280 --> 00:25:21,159 Speaker 1: very similar at the moment. It is inching its way 428 00:25:21,200 --> 00:25:26,359 Speaker 1: towards becoming law. In Australia, smoking kills sixty six people 429 00:25:26,640 --> 00:25:31,040 Speaker 1: a day. Globally, it kills eight million people a year. 430 00:25:31,359 --> 00:25:33,120 Speaker 2: Right, she's wearing smart watches. 431 00:25:33,320 --> 00:25:36,080 Speaker 1: Well, this is the thing, Right, I was walking here 432 00:25:36,240 --> 00:25:37,560 Speaker 1: to the studio this morning. 433 00:25:37,760 --> 00:25:40,199 Speaker 4: There was some morning that what they were doing was 434 00:25:40,240 --> 00:25:40,720 Speaker 4: not healthy. 435 00:25:40,880 --> 00:25:45,200 Speaker 1: That's right. The thing is when addiction is the morning 436 00:25:45,359 --> 00:25:48,280 Speaker 1: from hint. You know what. 437 00:25:51,880 --> 00:25:54,320 Speaker 2: He chucked his men. He's out outam. 438 00:25:54,520 --> 00:25:57,879 Speaker 1: It's between you and I'm back. I'm back a brief 439 00:25:57,960 --> 00:25:59,320 Speaker 1: It was a temporary walkout. 440 00:26:00,040 --> 00:26:03,920 Speaker 3: Good in handle not being part of it, good drama. 441 00:26:04,119 --> 00:26:08,280 Speaker 1: I want this on the record, yes, that this is 442 00:26:08,359 --> 00:26:11,119 Speaker 1: something that we should be doing here. I am sick 443 00:26:11,200 --> 00:26:13,480 Speaker 1: of having to walk through other people's smoke. I can 444 00:26:13,480 --> 00:26:15,560 Speaker 1: make a decision for myself that I'm not going to smoke, 445 00:26:15,800 --> 00:26:17,840 Speaker 1: but I still have to deal with everybody else's in 446 00:26:17,880 --> 00:26:20,919 Speaker 1: a public place. They should not be allowed to do that. 447 00:26:21,040 --> 00:26:22,840 Speaker 1: They shouldn't be allowed to do it to me. They 448 00:26:22,840 --> 00:26:25,199 Speaker 1: shouldn't be allowed to do it to children. And you 449 00:26:25,240 --> 00:26:29,200 Speaker 1: know what, the faster, the faster Australia finds some political 450 00:26:29,280 --> 00:26:30,640 Speaker 1: courage to do the same thing. 451 00:26:31,320 --> 00:26:31,639 Speaker 3: Better. 452 00:26:31,840 --> 00:26:35,240 Speaker 2: Think of a golden unicorn, a happy place. 453 00:26:35,440 --> 00:26:39,960 Speaker 1: I cannot get to a happy place right now. I'm 454 00:26:40,119 --> 00:26:42,600 Speaker 1: firmly lodged in my own discontent. 455 00:26:44,160 --> 00:26:45,840 Speaker 3: All right, that was wonderful. 456 00:26:46,000 --> 00:26:47,400 Speaker 1: Give it to us that bring up. 457 00:26:48,240 --> 00:26:50,120 Speaker 3: Okay, Michael, you lose. 458 00:26:51,440 --> 00:26:58,480 Speaker 2: You I get it. 459 00:26:58,640 --> 00:26:59,280 Speaker 3: I agree. 460 00:26:59,359 --> 00:27:01,600 Speaker 4: I'm not a small I also think vaping in all 461 00:27:01,640 --> 00:27:06,080 Speaker 4: these toxygens that are kind of literally killing people, it's nuts. 462 00:27:06,160 --> 00:27:06,360 Speaker 3: Right. 463 00:27:06,680 --> 00:27:08,840 Speaker 1: If we didn't evolve here, you couldn't. 464 00:27:08,480 --> 00:27:11,320 Speaker 4: Start smoking today. We just wouldn't let it happen. So 465 00:27:11,480 --> 00:27:16,160 Speaker 4: it should stop. I agree, But mold doves, small deves, molds, 466 00:27:16,200 --> 00:27:20,919 Speaker 4: mold deves. It's not a big global country. It's not 467 00:27:20,960 --> 00:27:22,800 Speaker 4: going to have a huge impact. I really respect what 468 00:27:22,840 --> 00:27:26,399 Speaker 4: they're doing with this decision. But smart watch, whereas I 469 00:27:26,440 --> 00:27:28,840 Speaker 4: know this is kind of incrementalism, but just the fact 470 00:27:28,840 --> 00:27:30,960 Speaker 4: that lives may literally be saying. 471 00:27:30,880 --> 00:27:33,280 Speaker 2: But it's not incrementalism because it's not no, no, no, 472 00:27:33,400 --> 00:27:37,760 Speaker 2: because what they can actually now work out what's going on, right, 473 00:27:38,480 --> 00:27:42,040 Speaker 2: weakened pumping ability, Yes, damaged valves. 474 00:27:42,320 --> 00:27:43,120 Speaker 3: I did get that. 475 00:27:43,320 --> 00:27:46,680 Speaker 2: Thickened muscles. That hasn't happened before. 476 00:27:48,040 --> 00:27:48,480 Speaker 3: A little bit. 477 00:27:48,520 --> 00:27:51,119 Speaker 4: But the fact that the smart watches are in place 478 00:27:51,440 --> 00:27:54,200 Speaker 4: and this tech is going to be able to diagnose 479 00:27:54,560 --> 00:27:56,160 Speaker 4: like live, it's awesome. 480 00:27:56,840 --> 00:27:59,119 Speaker 3: So have huge zero. 481 00:27:59,400 --> 00:28:02,960 Speaker 1: Okay, we are now well through. We are well and 482 00:28:03,040 --> 00:28:05,920 Speaker 1: tru Michael over time. So we are going to put 483 00:28:05,920 --> 00:28:09,879 Speaker 1: an additional criteria on this. I'm starting the Stopwatch. Yes, 484 00:28:09,920 --> 00:28:14,399 Speaker 1: we each have one minute for our favorite story. I 485 00:28:14,520 --> 00:28:17,480 Speaker 1: have started the stop Watch. Sean, you're going, oh, I'm 486 00:28:17,480 --> 00:28:18,119 Speaker 1: going first. 487 00:28:18,320 --> 00:28:18,920 Speaker 2: I'll go first. 488 00:28:19,040 --> 00:28:21,320 Speaker 1: No no, no, now you go first, you go, you go. 489 00:28:21,680 --> 00:28:23,520 Speaker 1: He's already pointing the Stopwatch. 490 00:28:23,680 --> 00:28:25,560 Speaker 2: Favorite story not a good story, more of a story 491 00:28:25,560 --> 00:28:27,320 Speaker 2: that you can't stop watching, a bit like a slow 492 00:28:27,359 --> 00:28:31,440 Speaker 2: motion car crash. Liberal Party in Australia Pbalition in Australia, 493 00:28:31,840 --> 00:28:33,879 Speaker 2: though coalition might be a bit word to the parties 494 00:28:33,920 --> 00:28:37,040 Speaker 2: involved all about climate change. NATS have already dropped their 495 00:28:37,440 --> 00:28:40,360 Speaker 2: zero policy, lives about to do the same. Moderates in 496 00:28:40,400 --> 00:28:42,800 Speaker 2: the party are not happy. Opposition leader Sais and Lee's 497 00:28:42,800 --> 00:28:45,560 Speaker 2: a moderate energy space person Dan Teen yesterday said the 498 00:28:45,600 --> 00:28:49,160 Speaker 2: Libs will junk its net zero policy. Just a reminder 499 00:28:49,840 --> 00:28:52,480 Speaker 2: listeners out there, Net zero actually means taking out of 500 00:28:52,480 --> 00:28:55,400 Speaker 2: the atmosphere the same amount of greenhouse gas emissions as 501 00:28:55,440 --> 00:29:00,440 Speaker 2: putting in to the atmosphere target of sixty two to 502 00:29:00,480 --> 00:29:03,040 Speaker 2: seventy percent target by twenty to twenty five by labor 503 00:29:04,360 --> 00:29:07,800 Speaker 2: twenty fifty net zero says, and Lee's leadership is at stake. 504 00:29:08,040 --> 00:29:10,160 Speaker 2: Me coulper I said that they were meeting. The last 505 00:29:10,200 --> 00:29:12,040 Speaker 2: week of parliament was next week. It's not true. It's 506 00:29:12,040 --> 00:29:14,920 Speaker 2: in a couple of weeks time. All the while, polls 507 00:29:15,040 --> 00:29:19,760 Speaker 2: are absolutely hammering the coalition favorite story because it's like 508 00:29:19,760 --> 00:29:22,480 Speaker 2: a slow motion car crash, really bad for the country, 509 00:29:22,560 --> 00:29:26,720 Speaker 2: no matter whether you're a coalition sorry conservative or not. Michael, 510 00:29:26,760 --> 00:29:27,080 Speaker 2: there you go. 511 00:29:27,160 --> 00:29:28,360 Speaker 1: That was three seconds over. 512 00:29:28,840 --> 00:29:29,280 Speaker 3: It's not bad. 513 00:29:29,520 --> 00:29:31,360 Speaker 1: That's all right. That's okay, that's pretty good because I 514 00:29:31,440 --> 00:29:32,640 Speaker 1: might need a little bit of leniency. 515 00:29:32,800 --> 00:29:35,920 Speaker 2: No no, no, no, no, okay, all right, so go Adam. 516 00:29:36,400 --> 00:29:39,000 Speaker 1: It feels like we are seeing perhaps the tide turning 517 00:29:39,240 --> 00:29:41,440 Speaker 1: in the US. This has been I would argue a 518 00:29:41,480 --> 00:29:46,520 Speaker 1: week to forget for President Donald Trump. The Democrats swept 519 00:29:46,800 --> 00:29:50,560 Speaker 1: four key elections, winning governorships in Virginia and New Jersey, 520 00:29:50,600 --> 00:29:53,320 Speaker 1: the mayoral race in New York, even flipping seats in 521 00:29:53,360 --> 00:29:57,560 Speaker 1: Pennsylvania's Supreme Court. A lot of the candidates were framing 522 00:29:57,600 --> 00:30:01,440 Speaker 1: these campaigns as an anti Trump vote. You adding Trump's 523 00:30:01,440 --> 00:30:04,760 Speaker 1: approval rating which lid below forty percent. Then the Supreme Court, 524 00:30:04,880 --> 00:30:07,280 Speaker 1: the justices there seem to be questioning the legality of 525 00:30:07,360 --> 00:30:10,360 Speaker 1: Trump's tariffs. The government shut down dragged on. It's become 526 00:30:10,400 --> 00:30:14,160 Speaker 1: the longest government shutdown ever, forcing flight cuts at forty airports, 527 00:30:14,440 --> 00:30:17,200 Speaker 1: thousands of people left without food stamps, and now illegal 528 00:30:17,280 --> 00:30:20,520 Speaker 1: ruling saying that the government must pay out those food 529 00:30:20,520 --> 00:30:23,760 Speaker 1: stamps for another week. It's the Republicans and old Trump 530 00:30:23,760 --> 00:30:26,480 Speaker 1: who are basically wearing the blame for all of that. 531 00:30:26,640 --> 00:30:29,520 Speaker 1: It is a lot to go against the president in 532 00:30:29,560 --> 00:30:33,520 Speaker 1: a very short period of time, and considering that there 533 00:30:33,640 --> 00:30:38,280 Speaker 1: is three years exactly to the next election. Since yesterday, 534 00:30:38,480 --> 00:30:41,400 Speaker 1: it's going to be a long three years. Good Work'd 535 00:30:41,440 --> 00:30:44,560 Speaker 1: be proud of it, brilliantly. The only plus for him 536 00:30:44,600 --> 00:30:49,080 Speaker 1: is Nancy Pelosi is retiring after forty years. 537 00:30:49,160 --> 00:30:50,440 Speaker 2: Yeah, incredible woman. 538 00:30:51,040 --> 00:30:56,800 Speaker 4: Yeah, So, Michael, you win, I think the consequences of 539 00:30:57,320 --> 00:31:00,640 Speaker 4: politics in the US, as the world's biggest economy, have 540 00:31:00,720 --> 00:31:03,720 Speaker 4: impact around the world. So I think that's really interesting 541 00:31:03,720 --> 00:31:06,200 Speaker 4: all those events of this week showing, as you said, 542 00:31:06,200 --> 00:31:07,000 Speaker 4: the tide turning. 543 00:31:07,560 --> 00:31:10,400 Speaker 2: None of the NAT's coalition wells. 544 00:31:10,600 --> 00:31:12,960 Speaker 1: But this week I actually you don't need to argue it. 545 00:31:12,960 --> 00:31:13,760 Speaker 1: It's a pity point. 546 00:31:14,640 --> 00:31:17,719 Speaker 4: This definitely happened, and Sean, you've made this point many times, 547 00:31:17,760 --> 00:31:21,400 Speaker 4: including this this week. We actually need a good opposition 548 00:31:21,800 --> 00:31:22,920 Speaker 4: and we have not got one. 549 00:31:23,840 --> 00:31:24,160 Speaker 3: It is. 550 00:31:24,320 --> 00:31:27,239 Speaker 4: It's a very big story, as you said, probably not 551 00:31:27,280 --> 00:31:28,920 Speaker 4: a favorite, but excellent story. 552 00:31:29,000 --> 00:31:31,560 Speaker 1: So three to one if you were to, because you 553 00:31:31,640 --> 00:31:35,120 Speaker 1: give like a score out of twenty five for each category. Yeah, 554 00:31:35,200 --> 00:31:37,760 Speaker 1: I'm still waiting for that day where I lose overall 555 00:31:37,880 --> 00:31:41,160 Speaker 1: but win on the points, because it's today that day. 556 00:31:41,360 --> 00:31:44,920 Speaker 3: No, it's not. You've got eighty eight points, so very creditable. 557 00:31:45,200 --> 00:31:48,240 Speaker 3: Sewan got ninety three landslide. 558 00:31:48,280 --> 00:31:49,480 Speaker 1: That is a landslide. 559 00:31:49,560 --> 00:31:51,160 Speaker 3: Five points might be the biggest ever. 560 00:31:53,480 --> 00:31:54,320 Speaker 2: I don't rub it in. 561 00:31:54,760 --> 00:31:57,720 Speaker 1: It's really not something to brag about five points being 562 00:31:57,760 --> 00:32:00,520 Speaker 1: the biggest margin in Thistree. We're trying to the show 563 00:32:00,640 --> 00:32:03,360 Speaker 1: is an exciting show. That's not going to do it 564 00:32:03,840 --> 00:32:06,560 Speaker 1: all right. Thank you, Adam, Thank you Michael, thank you Sean, 565 00:32:06,600 --> 00:32:07,120 Speaker 1: Thanks very. 566 00:32:07,080 --> 00:32:08,280 Speaker 2: Much, Sean, Michael, thanks Adam. 567 00:32:08,320 --> 00:32:10,520 Speaker 1: Make sure you're following the podcast, and head to Fearangreed 568 00:32:10,720 --> 00:32:12,840 Speaker 1: dot com dot au to sign up for our free 569 00:32:12,920 --> 00:32:15,440 Speaker 1: daily newsletter. I'm Michael Thompson, and that was Fear and Greed. 570 00:32:15,600 --> 00:32:16,440 Speaker 1: Have a great weekend.