1 00:00:00,120 --> 00:00:02,400 Speaker 1: Chris Coler, Welcome to straight Talk. Mait Mark, great to 2 00:00:02,400 --> 00:00:06,680 Speaker 1: be here. It's actually now is that your alter ego 3 00:00:06,760 --> 00:00:09,000 Speaker 1: speaks to me the way you said that, Mark, great 4 00:00:09,000 --> 00:00:11,840 Speaker 1: to be here. Oh, Mark, thanks so much. Yeah, who 5 00:00:11,920 --> 00:00:13,920 Speaker 1: is it you? Well, let's just talk about the Chris 6 00:00:13,920 --> 00:00:16,920 Speaker 1: Caller that I know from a long time ago. You're 7 00:00:16,920 --> 00:00:19,880 Speaker 1: a journalist. Maybe gives you a little bit background on 8 00:00:19,920 --> 00:00:23,160 Speaker 1: your journalism, like where you start, where are you now, 9 00:00:23,239 --> 00:00:26,400 Speaker 1: what you're doing, and some of the organizations work for them? 10 00:00:26,400 --> 00:00:27,040 Speaker 1: What do you cover? 11 00:00:27,360 --> 00:00:30,360 Speaker 2: Yeah, So I'm the finance editor at Channel nine nationally. 12 00:00:30,920 --> 00:00:33,800 Speaker 2: I cover the big picture stuff. My responsibility is interest rates, 13 00:00:33,840 --> 00:00:37,640 Speaker 2: the economy, housing market, ASX, and equity markets around the world. 14 00:00:38,800 --> 00:00:41,120 Speaker 2: You know, that's that's my bread and butter. I'm doing 15 00:00:41,120 --> 00:00:43,720 Speaker 2: the RBA story every time, and I have been doing 16 00:00:43,760 --> 00:00:47,559 Speaker 2: that for a long time. I've always covered markets and finance, 17 00:00:48,479 --> 00:00:53,000 Speaker 2: haven't always been in TV. Started out in digital and 18 00:00:53,159 --> 00:00:55,800 Speaker 2: moved into newspapers. I worked at the Australian newspaper here 19 00:00:55,840 --> 00:00:58,880 Speaker 2: in Sydney for a few years and then headed towards 20 00:00:58,920 --> 00:01:03,000 Speaker 2: Fairfax and eventually by way into TV via Your Money, 21 00:01:03,000 --> 00:01:05,200 Speaker 2: which you and I spoke on quite. 22 00:01:05,000 --> 00:01:06,520 Speaker 1: Up for a long time, long time ago. 23 00:01:06,640 --> 00:01:08,600 Speaker 2: Now I had lots of chats on your long time 24 00:01:08,640 --> 00:01:09,760 Speaker 2: ago that I does feel like that. 25 00:01:09,840 --> 00:01:13,039 Speaker 1: Yeah, and it's I mean, you are the son of 26 00:01:13,080 --> 00:01:17,480 Speaker 1: Alan Cohler got Hi Allen mate, who I've known for 27 00:01:17,480 --> 00:01:20,559 Speaker 1: a million years and some of our listeners will remember 28 00:01:20,600 --> 00:01:22,160 Speaker 1: Alan Coler. I don't know if he still is, but 29 00:01:22,520 --> 00:01:25,760 Speaker 1: used to be one of the voices on the Quantest 30 00:01:25,760 --> 00:01:28,440 Speaker 1: planes for me. Yeah, he's doing interviews. Was it was 31 00:01:28,440 --> 00:01:30,679 Speaker 1: like one of the original podcasters. Yeah, we didn't call 32 00:01:30,720 --> 00:01:32,280 Speaker 1: them podcasts in his interviews, but. 33 00:01:32,840 --> 00:01:34,880 Speaker 2: He's always liked that, the longer form interviews. 34 00:01:35,000 --> 00:01:37,200 Speaker 1: Yeah. Yeah, I did a few with him actually, probably 35 00:01:37,200 --> 00:01:40,200 Speaker 1: in two thousand and four or something that like go back. Well, 36 00:01:40,840 --> 00:01:46,440 Speaker 1: you're about ten, So your major business interests and in 37 00:01:46,520 --> 00:01:49,600 Speaker 1: terms of what your journalism is is about the economy, 38 00:01:50,520 --> 00:01:58,960 Speaker 1: the banking system, big institutions. Yes, you're with the largest, 39 00:01:59,000 --> 00:02:03,560 Speaker 1: if not one of the large media organizations in the country, 40 00:02:03,600 --> 00:02:07,480 Speaker 1: that's Channel nine group. But then you have this sort 41 00:02:07,480 --> 00:02:10,079 Speaker 1: of alter ego. You do have an audio as Chris 42 00:02:10,120 --> 00:02:12,360 Speaker 1: Collar on Social. 43 00:02:13,120 --> 00:02:16,799 Speaker 2: Yeah, it's increasingly split out, hasn't it. And you're speaking 44 00:02:16,800 --> 00:02:19,880 Speaker 2: of splits. You get a sense of my split personalities and. 45 00:02:19,960 --> 00:02:23,560 Speaker 1: Another personality, but like it's it's sort of like I 46 00:02:23,600 --> 00:02:25,600 Speaker 1: don't know if you're taking the pierce or whether you're 47 00:02:26,440 --> 00:02:28,280 Speaker 1: in terms of style I'm talking about because I know 48 00:02:28,320 --> 00:02:30,679 Speaker 1: you've got a serious topic you're talking about. You're trying 49 00:02:30,720 --> 00:02:34,079 Speaker 1: to turn it into comedy. Are you going for comedy? Well, 50 00:02:34,080 --> 00:02:37,880 Speaker 1: I've never been a comedian. Really, I think it's pretty funny. Well, 51 00:02:37,880 --> 00:02:38,760 Speaker 1: that's nice of you to say. 52 00:02:38,800 --> 00:02:42,240 Speaker 2: I mean, it's kind of it helps to send the 53 00:02:43,240 --> 00:02:45,880 Speaker 2: helps to send that information down that way I find. 54 00:02:46,480 --> 00:02:49,280 Speaker 2: I was coming home from long days covering really full 55 00:02:49,320 --> 00:02:52,080 Speaker 2: on economic and business stories, and I was talking to 56 00:02:52,120 --> 00:02:55,560 Speaker 2: my wife about them. She's a journalist too, not a 57 00:02:55,600 --> 00:02:58,080 Speaker 2: background in finance journalism, and the way we were talking 58 00:02:58,120 --> 00:03:00,239 Speaker 2: about them, I kind of found that, you know, after 59 00:03:00,240 --> 00:03:02,960 Speaker 2: ten minutes fifteen minutes, I was taking the piss out 60 00:03:02,960 --> 00:03:04,400 Speaker 2: of the story a bit, and I was kind of 61 00:03:04,480 --> 00:03:07,240 Speaker 2: doing impressions of people and we kind of were like, 62 00:03:07,760 --> 00:03:09,280 Speaker 2: maybe you could do a video on that. It was 63 00:03:09,320 --> 00:03:11,520 Speaker 2: her idea for me to do my first vertical video 64 00:03:11,560 --> 00:03:15,080 Speaker 2: on TikTok way back then, and after a while I 65 00:03:15,240 --> 00:03:17,920 Speaker 2: just sort of one day decided to do it in 66 00:03:18,040 --> 00:03:21,040 Speaker 2: a character and just sort of really see what happens 67 00:03:21,160 --> 00:03:23,639 Speaker 2: with the theory that how badly could this go wrong? 68 00:03:23,720 --> 00:03:26,520 Speaker 2: It'll be fine. I don't know. I possibly should have 69 00:03:26,520 --> 00:03:29,120 Speaker 2: thought about it more, because you know, your bosses don't 70 00:03:29,120 --> 00:03:30,240 Speaker 2: necessarily want to see. 71 00:03:30,040 --> 00:03:30,760 Speaker 1: You being an idiot. 72 00:03:31,680 --> 00:03:33,800 Speaker 2: But it went well and it sort of ended up 73 00:03:33,800 --> 00:03:34,480 Speaker 2: growing from there. 74 00:03:34,560 --> 00:03:36,720 Speaker 1: Well. Comedy, I think, has always been a great way 75 00:03:36,800 --> 00:03:42,520 Speaker 1: to tell the truth without being heavily criticized for the truth, 76 00:03:43,160 --> 00:03:46,680 Speaker 1: and particularly someone like you who's and I don't know 77 00:03:46,720 --> 00:03:48,840 Speaker 1: which one is your alter ego, whether it's who you 78 00:03:48,880 --> 00:03:51,240 Speaker 1: are on Channel Mine or who you are on Instagram 79 00:03:51,280 --> 00:03:54,200 Speaker 1: and YouTube, but it's one of them, when maybe it's 80 00:03:54,200 --> 00:03:57,160 Speaker 1: a combination of them, and I think we all have them. 81 00:03:57,160 --> 00:04:02,680 Speaker 1: But I think what you're under lying theme of what 82 00:04:02,720 --> 00:04:08,280 Speaker 1: you say is in a sort of a pistakee way 83 00:04:08,720 --> 00:04:12,280 Speaker 1: but not it's not disrespectful either though it's but the 84 00:04:12,400 --> 00:04:16,400 Speaker 1: underlying theme is a truth that you are trying to establish. 85 00:04:16,680 --> 00:04:20,120 Speaker 1: Let's talk about say your latest one, which is I 86 00:04:20,120 --> 00:04:22,360 Speaker 1: think the one you put up about the IRBA, and 87 00:04:22,480 --> 00:04:25,040 Speaker 1: it was you might explain, it's you talking to yourself. 88 00:04:25,080 --> 00:04:28,880 Speaker 1: Of course you're both characters. Yeah, so just quickly take 89 00:04:28,960 --> 00:04:32,920 Speaker 1: us through that. So your conversation. Yeah, and what's the 90 00:04:32,920 --> 00:04:35,400 Speaker 1: theme ultimately you want to what's your message you really 91 00:04:35,440 --> 00:04:36,160 Speaker 1: want to get out of that? 92 00:04:36,240 --> 00:04:38,000 Speaker 2: Yeah, Well, I'm always trying to do it from the 93 00:04:38,040 --> 00:04:41,520 Speaker 2: perspective of normal people, the ones who are out there 94 00:04:41,560 --> 00:04:43,760 Speaker 2: dealing with an interest rate hike and dealing with what 95 00:04:43,800 --> 00:04:46,279 Speaker 2: that means for them and their financial situation in their house. 96 00:04:46,320 --> 00:04:48,159 Speaker 2: And I was in the room with Michelle Bullock on 97 00:04:48,200 --> 00:04:50,679 Speaker 2: Tuesday in my journalistic capacity. I mean we were asking 98 00:04:50,760 --> 00:04:53,520 Speaker 2: questions about what this interest rate means, where's it come from, 99 00:04:53,640 --> 00:04:54,840 Speaker 2: what's it seeking to achieve? 100 00:04:56,120 --> 00:04:56,839 Speaker 1: You know, you. 101 00:04:57,160 --> 00:04:58,800 Speaker 2: Want to get one question, you don't get to do 102 00:04:58,839 --> 00:05:01,560 Speaker 2: a full interview, But in my mind, it's really all 103 00:05:01,600 --> 00:05:04,719 Speaker 2: about how much more, how much more we're piling now 104 00:05:04,760 --> 00:05:08,160 Speaker 2: onto the borrowers in Australia and they're very vulnerable, you. 105 00:05:08,160 --> 00:05:10,120 Speaker 1: Mean, in terms of interest rates, all the story around it, 106 00:05:10,200 --> 00:05:11,719 Speaker 1: the interest rates, the actually interest. 107 00:05:11,560 --> 00:05:14,080 Speaker 2: Rate, the actually interest rate itself. I mean, this is 108 00:05:14,160 --> 00:05:16,320 Speaker 2: the mechanism. You and I have talked about this lots 109 00:05:16,320 --> 00:05:19,160 Speaker 2: of times. It's not a scalpel, it's a sledgehammer. But 110 00:05:19,200 --> 00:05:21,600 Speaker 2: the sledgehammer hits so much harder when you've got two 111 00:05:21,680 --> 00:05:24,200 Speaker 2: point four trillion dollars worth of mortgage debt. It's not 112 00:05:24,240 --> 00:05:27,840 Speaker 2: like it was five years ago, reads ago, and so 113 00:05:28,040 --> 00:05:31,280 Speaker 2: I just think it's it's sort of not perhaps being 114 00:05:31,320 --> 00:05:33,680 Speaker 2: discussed as directly as I might like it to be. 115 00:05:34,080 --> 00:05:35,960 Speaker 2: And so I kind of went into that room and 116 00:05:36,000 --> 00:05:38,720 Speaker 2: I thought, all right, I'm the borrower at home. I 117 00:05:38,800 --> 00:05:41,159 Speaker 2: don't really understand why my life has to get so 118 00:05:41,240 --> 00:05:43,960 Speaker 2: much harder to solve this inflation crisis for everybody else, 119 00:05:43,960 --> 00:05:46,560 Speaker 2: for everybody else. You know, it doesn't feel like we're 120 00:05:46,600 --> 00:05:48,760 Speaker 2: a team right now. It feels like I'm carrying the weight. 121 00:05:50,400 --> 00:05:52,919 Speaker 2: And you know, that's obviously a perspective thing I've got. 122 00:05:53,520 --> 00:05:55,560 Speaker 2: I've got parents, I got parents in law who may 123 00:05:55,600 --> 00:05:58,239 Speaker 2: not be as down about an interest rate higher. 124 00:05:58,360 --> 00:05:59,680 Speaker 1: Your dad might be happy about it because it might 125 00:05:59,680 --> 00:06:00,080 Speaker 1: be making. 126 00:06:00,279 --> 00:06:02,680 Speaker 2: Ah, you know, and I get that. And I have 127 00:06:02,800 --> 00:06:05,040 Speaker 2: this conversation with older people quite a bit. Hey, why 128 00:06:05,040 --> 00:06:07,000 Speaker 2: do you only ever talk about it from the position 129 00:06:07,080 --> 00:06:11,080 Speaker 2: of the borrower? Fair question, But to me, if you 130 00:06:11,120 --> 00:06:13,640 Speaker 2: get hitting the face in the street and you drop 131 00:06:13,680 --> 00:06:16,479 Speaker 2: all your money, that's the story. It's not about the 132 00:06:16,480 --> 00:06:18,279 Speaker 2: person comes in after and picks up all the money 133 00:06:18,320 --> 00:06:18,880 Speaker 2: off the ground. 134 00:06:20,279 --> 00:06:24,000 Speaker 1: Benefit. Maybe you just explained because most people don't know this, 135 00:06:24,120 --> 00:06:26,400 Speaker 1: I mean, and I think part of what you do 136 00:06:27,120 --> 00:06:30,160 Speaker 1: in your alter ego is actually shows a little bit 137 00:06:30,200 --> 00:06:32,320 Speaker 1: sort of what happens behind the scenes, which most people 138 00:06:32,360 --> 00:06:35,960 Speaker 1: don't understand, but you might just open it up a 139 00:06:35,960 --> 00:06:40,400 Speaker 1: little bit. Michelle Bullock, for those listeners, does a press conference, 140 00:06:40,440 --> 00:06:45,599 Speaker 1: which is a new thing under Michelle Bullock. Previous previous 141 00:06:45,800 --> 00:06:48,080 Speaker 1: reservent governors have done them down the track or some 142 00:06:48,200 --> 00:06:51,000 Speaker 1: other time, but rarely the way she does it. She 143 00:06:51,040 --> 00:06:54,239 Speaker 1: does it basically straight away after the release two thirty 144 00:06:54,240 --> 00:06:57,320 Speaker 1: one pm on Tuesday this week, she gets up about 145 00:06:57,320 --> 00:06:58,840 Speaker 1: an hour later or something like that in front of 146 00:06:58,880 --> 00:07:01,880 Speaker 1: the media. You guys, Yeah, so who gets chosen to 147 00:07:01,920 --> 00:07:03,719 Speaker 1: go to those things? And how do the questions get? 148 00:07:04,000 --> 00:07:06,160 Speaker 1: How do you get a question? Was? Did you say 149 00:07:06,160 --> 00:07:07,080 Speaker 1: you only get one question? 150 00:07:07,320 --> 00:07:09,320 Speaker 2: Kind of yeah, it's as you say, this is a 151 00:07:09,360 --> 00:07:11,920 Speaker 2: new thing. It's not like we've been able to tinker 152 00:07:11,960 --> 00:07:14,560 Speaker 2: with the process for a while and give feedback. This 153 00:07:14,600 --> 00:07:17,200 Speaker 2: has been really happening since I think August last year, 154 00:07:17,360 --> 00:07:20,480 Speaker 2: so around then. As you say, prior to that, you 155 00:07:20,600 --> 00:07:23,280 Speaker 2: just got the information, you talk about it, and now, 156 00:07:23,800 --> 00:07:27,680 Speaker 2: in an attempt to communicate better with Australia. They're using 157 00:07:27,760 --> 00:07:30,240 Speaker 2: journalists as a conduit, which is great. We appreciate that. 158 00:07:31,040 --> 00:07:32,880 Speaker 2: So we go along as you say the decisions at 159 00:07:32,880 --> 00:07:34,960 Speaker 2: two thirty. We're in there at three thirty and Michelle 160 00:07:35,000 --> 00:07:37,520 Speaker 2: Bullock stands up as for who gets chosen. Will you register? 161 00:07:37,960 --> 00:07:42,000 Speaker 2: It's not just big media organizations. There's all kinds of small, medium, 162 00:07:42,080 --> 00:07:45,920 Speaker 2: and large newspapers broadcasters that are represented in there. 163 00:07:45,960 --> 00:07:48,720 Speaker 1: Can anyone go? I mean any media person, Yeah, so 164 00:07:48,800 --> 00:07:49,680 Speaker 1: to speak, you can. 165 00:07:50,280 --> 00:07:55,760 Speaker 2: There are some quite small outfits, I'd say. You know, 166 00:07:55,800 --> 00:07:59,080 Speaker 2: it's certainly not just the big ones. And it's the 167 00:07:59,120 --> 00:08:05,040 Speaker 2: most respectful and civilized press conference I've ever been a 168 00:08:05,080 --> 00:08:08,120 Speaker 2: part of. You see a political presses or some other ones. 169 00:08:08,120 --> 00:08:10,080 Speaker 2: Everyone's yelling over the top of each other. Can I 170 00:08:10,080 --> 00:08:11,560 Speaker 2: get a question? You shut up. I'm just going to 171 00:08:11,600 --> 00:08:14,240 Speaker 2: plow on with my question. None of that in there. 172 00:08:14,560 --> 00:08:17,160 Speaker 2: The microphone snakes around the room, everyone gets one go. 173 00:08:17,560 --> 00:08:20,120 Speaker 2: Why is it they just set it up like that? 174 00:08:20,360 --> 00:08:23,400 Speaker 2: They kind of don't want this argie bargie. Everyone's shouting 175 00:08:23,400 --> 00:08:25,480 Speaker 2: out type of environment, which I think is great. 176 00:08:26,200 --> 00:08:27,520 Speaker 1: You know, you get one go. 177 00:08:27,720 --> 00:08:30,120 Speaker 2: There's not the opportunity then for someone who is the 178 00:08:30,120 --> 00:08:33,720 Speaker 2: bigger personality to bark five questions while a quiet person 179 00:08:33,760 --> 00:08:36,760 Speaker 2: isn't able to ask one. Everyone gets a turn, and 180 00:08:36,840 --> 00:08:38,000 Speaker 2: I think it's a pretty good system. 181 00:08:38,160 --> 00:08:38,720 Speaker 1: I got to say. 182 00:08:38,800 --> 00:08:41,560 Speaker 2: I mean, you do only get one question. The whole 183 00:08:41,559 --> 00:08:44,720 Speaker 2: thing goes through about forty five minutes, and then you, 184 00:08:44,760 --> 00:08:47,439 Speaker 2: in theory have a better understanding of why the interest 185 00:08:47,480 --> 00:08:48,000 Speaker 2: rates went up. 186 00:08:48,080 --> 00:08:50,559 Speaker 1: We're on hold or went down? Is that broadcast so 187 00:08:50,559 --> 00:08:53,520 Speaker 1: anyone can watch it? It is? Yeah, it's broadcast so 188 00:08:53,840 --> 00:08:55,839 Speaker 1: someone can watch it. If I could be a synic 189 00:08:55,880 --> 00:09:00,920 Speaker 1: from a moment, Chris, do you think that this process, 190 00:09:00,960 --> 00:09:03,960 Speaker 1: which we never really existed in the past, this process 191 00:09:04,160 --> 00:09:07,880 Speaker 1: is about to use your words communicating the message from 192 00:09:07,920 --> 00:09:10,920 Speaker 1: the Reserve Bank governor outside of the written one and 193 00:09:10,960 --> 00:09:13,640 Speaker 1: a half pages that they normally issue in the media release. 194 00:09:14,120 --> 00:09:17,480 Speaker 1: Is it about communicating better or is it about controlling 195 00:09:17,559 --> 00:09:21,600 Speaker 1: the message? Because you know, just so, I might just 196 00:09:21,640 --> 00:09:23,720 Speaker 1: add to that, because in the past, we would look 197 00:09:23,720 --> 00:09:26,120 Speaker 1: at the one and a half page media release and 198 00:09:26,120 --> 00:09:30,320 Speaker 1: we'd all sit back and interpret it, as would analysts 199 00:09:30,360 --> 00:09:33,000 Speaker 1: and various places, and they would act on it. And 200 00:09:33,040 --> 00:09:35,439 Speaker 1: your interpretation, as you might be writing a piece in 201 00:09:35,480 --> 00:09:38,920 Speaker 1: the far your interpretation might be not the way the 202 00:09:38,920 --> 00:09:40,720 Speaker 1: Reserve Bank wanted you to interpret it. Do you think 203 00:09:41,320 --> 00:09:44,360 Speaker 1: this is an opportunity for them to control the narrative. 204 00:09:44,640 --> 00:09:46,680 Speaker 2: I think it's an opportunity for them to be very 205 00:09:46,760 --> 00:09:50,440 Speaker 2: measured in the extra information they do give. I think 206 00:09:50,679 --> 00:09:53,319 Speaker 2: they've got to be so careful if they say. If 207 00:09:53,320 --> 00:09:57,520 Speaker 2: a Reserve Bank or Federal Reserve chair or governor says something, 208 00:09:57,880 --> 00:09:59,959 Speaker 2: it can move the market, it can wipe out billion, 209 00:10:00,200 --> 00:10:03,000 Speaker 2: it can add billions. By their very nature, they have 210 00:10:03,080 --> 00:10:05,640 Speaker 2: to be careful, and you see that with them. I mean, 211 00:10:05,720 --> 00:10:10,240 Speaker 2: a good question to Michelle Bullock on Tuesday was Governor, 212 00:10:10,320 --> 00:10:11,720 Speaker 2: are we in a tightening cycle? 213 00:10:12,440 --> 00:10:13,040 Speaker 1: Or are we not? 214 00:10:14,400 --> 00:10:16,200 Speaker 2: We had those three cuts and then we had this 215 00:10:16,320 --> 00:10:19,199 Speaker 2: hike and the question it was David Taylor from the 216 00:10:19,240 --> 00:10:22,040 Speaker 2: ABC asked it was a great question, and you could 217 00:10:22,080 --> 00:10:24,319 Speaker 2: see the cogs turning with Michelle Bullock. 218 00:10:24,120 --> 00:10:25,720 Speaker 1: And before she answered yeah, it was. 219 00:10:25,720 --> 00:10:30,000 Speaker 2: A fascinating moment because you could see that she was 220 00:10:30,040 --> 00:10:34,760 Speaker 2: being careful. You know, technically one hike, yeah, they're they're 221 00:10:34,760 --> 00:10:36,640 Speaker 2: in a tightening cycle. But you didn't say that because 222 00:10:36,720 --> 00:10:38,720 Speaker 2: in a way, that gives forward guidance, which she doesn't 223 00:10:38,720 --> 00:10:40,840 Speaker 2: want to do. So now you can see this arm 224 00:10:40,840 --> 00:10:43,440 Speaker 2: wrestler about how am I going to answer that? And 225 00:10:43,480 --> 00:10:44,880 Speaker 2: she did a great job, and we can go back 226 00:10:44,920 --> 00:10:46,480 Speaker 2: and kind of have a look at how she handled 227 00:10:46,520 --> 00:10:48,600 Speaker 2: that question. But those are the moments I think where 228 00:10:48,600 --> 00:10:51,600 Speaker 2: you see a governor thinking on their feet. It's kind 229 00:10:51,640 --> 00:10:54,480 Speaker 2: of it is live, but they are being careful in 230 00:10:54,520 --> 00:10:56,160 Speaker 2: the message that they're getting out there. 231 00:10:56,280 --> 00:10:59,560 Speaker 1: Do you think that our government it's a hard one 232 00:10:59,600 --> 00:11:02,079 Speaker 1: for you, anund but do you think that she's getting 233 00:11:02,080 --> 00:11:03,959 Speaker 1: a fair go in the media? And do you think 234 00:11:04,000 --> 00:11:06,160 Speaker 1: she's and what do you think of what she's because 235 00:11:06,320 --> 00:11:08,120 Speaker 1: to some extent, some of the media portrayed her as 236 00:11:08,120 --> 00:11:11,080 Speaker 1: making an error. They said, you went to early in 237 00:11:11,080 --> 00:11:15,160 Speaker 1: Februy last year by reducing rates B Some are saying 238 00:11:15,200 --> 00:11:17,960 Speaker 1: you reduced a boy too many on too many too 239 00:11:17,960 --> 00:11:20,720 Speaker 1: many times last year. See Others are saying you should 240 00:11:20,840 --> 00:11:23,400 Speaker 1: hiked harder before you started reducing. You know, we're talking 241 00:11:23,400 --> 00:11:25,400 Speaker 1: about the Warren Hogan's of the world because joy'st cetera. 242 00:11:25,600 --> 00:11:28,720 Speaker 1: As a number of them people, you know, what do 243 00:11:28,760 --> 00:11:31,599 Speaker 1: you think, as someone who's been watching this cycle for 244 00:11:31,640 --> 00:11:32,920 Speaker 1: a long time, she's getting a fair go. 245 00:11:33,840 --> 00:11:37,160 Speaker 2: I think for the most part she is. I think 246 00:11:37,240 --> 00:11:40,080 Speaker 2: The problem for Michelle bull look is, as I said, 247 00:11:40,360 --> 00:11:42,880 Speaker 2: the ammunition that she has sitting on top of that 248 00:11:42,920 --> 00:11:45,280 Speaker 2: interest rate mechanism is so much stronger than it ever 249 00:11:45,400 --> 00:11:48,319 Speaker 2: used to be before. Do you mean yes, well, I 250 00:11:48,360 --> 00:11:50,640 Speaker 2: mean just you know, hiking interest rates means so much 251 00:11:50,640 --> 00:11:52,720 Speaker 2: more to a person than it did. 252 00:11:52,960 --> 00:11:54,320 Speaker 1: The impact is far great impact. 253 00:11:54,400 --> 00:11:57,719 Speaker 2: I mean, the potency of that tool is huge now. 254 00:11:57,800 --> 00:12:00,680 Speaker 2: I mean, I kind of I think about it. When 255 00:12:00,679 --> 00:12:03,680 Speaker 2: I started covering this sort of stuff, it was a 256 00:12:03,720 --> 00:12:06,520 Speaker 2: pretty boring story, the RBA story you'd struggle to get 257 00:12:06,520 --> 00:12:06,920 Speaker 2: people to. 258 00:12:06,800 --> 00:12:09,960 Speaker 1: Do right now. It definitely wasn't on the Today's Show in. 259 00:12:09,960 --> 00:12:12,120 Speaker 2: The it didn't lead the news like it does now. 260 00:12:12,640 --> 00:12:15,240 Speaker 2: That was probably twenty ten where I was first out 261 00:12:15,280 --> 00:12:17,280 Speaker 2: there trying to write about it and talk about it. 262 00:12:17,280 --> 00:12:19,720 Speaker 2: And the average new mortgage at the time was sub 263 00:12:19,720 --> 00:12:22,960 Speaker 2: four hundred and fifty thousand nationally now at six ninety four, 264 00:12:23,080 --> 00:12:26,840 Speaker 2: so seven hundred thousand with a bit of change applied. 265 00:12:27,640 --> 00:12:30,520 Speaker 2: I mean that now, by its very nature, Michelle Bullock 266 00:12:30,559 --> 00:12:32,680 Speaker 2: wasn't running the show back then. She's running it now, 267 00:12:32,679 --> 00:12:35,079 Speaker 2: and the tool is so much bigger than it ever 268 00:12:35,120 --> 00:12:36,800 Speaker 2: has been before, so people are paying so much more 269 00:12:36,840 --> 00:12:40,080 Speaker 2: attention as well as she's getting a fair go I mean, 270 00:12:40,120 --> 00:12:42,800 Speaker 2: the criticism is right there. Of course. I happen to 271 00:12:42,800 --> 00:12:45,760 Speaker 2: think she's doing a tremendous job of talking about this 272 00:12:45,840 --> 00:12:49,520 Speaker 2: thing in a pretty level headed way. She's very open 273 00:12:49,559 --> 00:12:51,200 Speaker 2: about what we are. 274 00:12:51,080 --> 00:12:53,559 Speaker 1: Here to do, what she's head to do. Yeah. 275 00:12:53,679 --> 00:12:55,560 Speaker 2: Yeah, as the head of the board, you know, we're 276 00:12:55,600 --> 00:12:59,520 Speaker 2: here to do inflation, make sure that prices growing sustainably, 277 00:12:59,520 --> 00:13:02,160 Speaker 2: and make sure that achieved full employment. You know, we're 278 00:13:02,160 --> 00:13:05,960 Speaker 2: not setting all tax settings, we're not doing everything. 279 00:13:06,520 --> 00:13:07,960 Speaker 1: So I think she's doing a good job of that. 280 00:13:08,520 --> 00:13:11,520 Speaker 1: With what you got to work with. What what would 281 00:13:11,559 --> 00:13:14,440 Speaker 1: you say to those people who are sort of your 282 00:13:14,520 --> 00:13:19,680 Speaker 1: own organizations. Publication in the a FR put a put 283 00:13:19,679 --> 00:13:23,959 Speaker 1: a firm finger on Jim Chalmers and or the government 284 00:13:24,440 --> 00:13:29,320 Speaker 1: about fiscal policy and spending. I know you're not in 285 00:13:29,360 --> 00:13:31,920 Speaker 1: the a FR, but I'm still it's part of the 286 00:13:32,000 --> 00:13:35,120 Speaker 1: nine group. There was a firm figure placed on the government. 287 00:13:35,280 --> 00:13:38,079 Speaker 1: You know, you guys are spending too much. Michelle Bullock 288 00:13:38,120 --> 00:13:41,360 Speaker 1: did not talk about that. She talked about private the 289 00:13:41,400 --> 00:13:45,400 Speaker 1: private aggregate, private agurgate demand, which by the way, takes 290 00:13:45,440 --> 00:13:47,520 Speaker 1: money out of the system and the system has been 291 00:13:47,520 --> 00:13:49,920 Speaker 1: flooded with money, and part of the flooding of the 292 00:13:49,920 --> 00:13:54,920 Speaker 1: money is from government. So that was a very clever maneuver. 293 00:13:57,200 --> 00:13:59,040 Speaker 1: Outside of what Michelle Buller's got to say, what do 294 00:13:59,080 --> 00:14:00,719 Speaker 1: you think, as someone who's been coming this stuff for 295 00:14:00,720 --> 00:14:04,360 Speaker 1: a long time, where do you think the government sits 296 00:14:04,400 --> 00:14:06,679 Speaker 1: in relation all this? Relative to the fact that we've 297 00:14:06,920 --> 00:14:09,440 Speaker 1: now got a rate rises on the horizon and we've 298 00:14:09,480 --> 00:14:12,120 Speaker 1: just had one. Do you think that the government's spending 299 00:14:12,280 --> 00:14:14,559 Speaker 1: is something that is creating or is a big part 300 00:14:14,600 --> 00:14:16,319 Speaker 1: of the creating of this inflation number. 301 00:14:16,520 --> 00:14:18,760 Speaker 2: Look, I think it has to be considered to be 302 00:14:18,800 --> 00:14:20,440 Speaker 2: a part of the role. I mean, I'm sort of 303 00:14:20,520 --> 00:14:23,040 Speaker 2: lucky in that I cover the finance. I talk about 304 00:14:23,080 --> 00:14:25,560 Speaker 2: what's happening today and yesterday. I don't necessarily have to 305 00:14:26,040 --> 00:14:28,440 Speaker 2: make predictions. I get to talk to people like you 306 00:14:28,520 --> 00:14:30,560 Speaker 2: and economists and sort of take it all and think 307 00:14:30,560 --> 00:14:32,680 Speaker 2: about it. A couple of the economists that I have 308 00:14:32,720 --> 00:14:34,640 Speaker 2: a lot of respect for have been saying that, and 309 00:14:34,680 --> 00:14:36,320 Speaker 2: so you kind of listen to it and you think 310 00:14:36,320 --> 00:14:39,280 Speaker 2: about administered prices, which Shane Oliver has been talking about 311 00:14:39,320 --> 00:14:42,120 Speaker 2: a bit, total government spending. I mean, these numbers are big, 312 00:14:43,120 --> 00:14:44,520 Speaker 2: particularly as a percentage of GDP. 313 00:14:44,720 --> 00:14:46,640 Speaker 1: Yes, yeah, then. 314 00:14:46,720 --> 00:14:50,680 Speaker 2: Looking historically, you know, whether you apply context that's historical 315 00:14:50,800 --> 00:14:55,640 Speaker 2: or global. I mean, these are significant. So look, I 316 00:14:55,680 --> 00:14:57,600 Speaker 2: do think that's definitely part of it. And I think 317 00:14:58,760 --> 00:15:02,560 Speaker 2: the difference, of course, is that politically, you know, they've 318 00:15:02,600 --> 00:15:04,880 Speaker 2: got to work to an election cycle, whereas a Reserve 319 00:15:04,920 --> 00:15:07,920 Speaker 2: bank doesn't. So I think it suits them to when 320 00:15:07,960 --> 00:15:10,000 Speaker 2: the news is bad to say, right, the Reserve Bank's 321 00:15:10,000 --> 00:15:10,760 Speaker 2: doing its own thing. 322 00:15:11,200 --> 00:15:13,680 Speaker 1: We have no contry. They're independent. They're independent, which is 323 00:15:13,680 --> 00:15:16,320 Speaker 1: what by the way, it just happened. That's what the 324 00:15:17,320 --> 00:15:21,320 Speaker 1: Treasure said the Independent Reserve Bank Board, which by the way, 325 00:15:21,360 --> 00:15:24,160 Speaker 1: the government appointed but recently appointed only a year ago. 326 00:15:24,440 --> 00:15:28,040 Speaker 1: But like they have decided this, whereas I mean, and 327 00:15:28,080 --> 00:15:31,160 Speaker 1: we all understand the you know, the to and fro 328 00:15:31,280 --> 00:15:34,920 Speaker 1: in relation of politics, and I guess to some extent 329 00:15:35,520 --> 00:15:37,720 Speaker 1: norvous are surprised. I mean, I don't think there'd be 330 00:15:37,720 --> 00:15:40,240 Speaker 1: too many people consumers out there who would be surprised 331 00:15:40,240 --> 00:15:43,040 Speaker 1: that the government goes missing when things aren't looking good 332 00:15:43,080 --> 00:15:45,240 Speaker 1: and the government sort of stands on the dice when 333 00:15:45,240 --> 00:15:48,080 Speaker 1: things are looking good. I don't really know, And to 334 00:15:48,120 --> 00:15:49,760 Speaker 1: be honest with you, from my point of view, Chris 335 00:15:49,880 --> 00:15:52,640 Speaker 1: la I'd probably be the same. And there's an old 336 00:15:52,680 --> 00:15:56,600 Speaker 1: saying in media, give oxygen to good news and smither 337 00:15:56,680 --> 00:16:00,960 Speaker 1: bad news, and that's everybody does it. Jim Chum was 338 00:16:00,960 --> 00:16:02,480 Speaker 1: going to get up and say, look, I'm sorry everybody, 339 00:16:02,480 --> 00:16:04,400 Speaker 1: we spent too much in the last budget. I guess 340 00:16:04,400 --> 00:16:06,400 Speaker 1: it'll be a lot will come out of the next 341 00:16:06,440 --> 00:16:11,480 Speaker 1: budget coming up. Institutions therefore, because therefore therefore people tend 342 00:16:11,520 --> 00:16:15,280 Speaker 1: not to trust. I really do believe, and I like 343 00:16:15,320 --> 00:16:18,640 Speaker 1: your view on this. There is particularly your age group, 344 00:16:18,640 --> 00:16:24,160 Speaker 1: but there was a growing number of people who once 345 00:16:24,200 --> 00:16:26,400 Speaker 1: upon a time would you say, look it's the government, 346 00:16:26,400 --> 00:16:29,680 Speaker 1: it's fine, whatever, But today who do not trust institutions 347 00:16:29,680 --> 00:16:33,160 Speaker 1: and or do not trust governments. Trust is being eroded. 348 00:16:34,840 --> 00:16:37,560 Speaker 1: And just something said, probably for good reason, you know, 349 00:16:38,320 --> 00:16:40,680 Speaker 1: you go through the COVID program. Whether that was right 350 00:16:40,760 --> 00:16:43,240 Speaker 1: or wrong doesn't matter. People that felt like you took 351 00:16:43,280 --> 00:16:45,800 Speaker 1: something away from me, something was changed in my life. 352 00:16:46,680 --> 00:16:49,560 Speaker 1: Was that something that motivated you to set up your 353 00:16:49,560 --> 00:16:51,280 Speaker 1: alter ego, your other personality? 354 00:16:51,840 --> 00:16:55,080 Speaker 2: Kind of I'm fascinated by the trust dynamic as well. 355 00:16:55,120 --> 00:16:58,280 Speaker 2: In Australia, there's a good set of data that comes 356 00:16:58,320 --> 00:17:01,520 Speaker 2: out from Roy Morgan called the Trust Index. Oh wow, 357 00:17:01,600 --> 00:17:04,680 Speaker 2: the most trusted brands least trusted brands. And one of 358 00:17:04,680 --> 00:17:07,359 Speaker 2: the ones that I found completely fascinating was that at 359 00:17:07,400 --> 00:17:11,320 Speaker 2: the end of twenty twenty three, Coles and Woolworth were 360 00:17:11,680 --> 00:17:13,600 Speaker 2: I think either two and three or three and two 361 00:17:14,760 --> 00:17:18,919 Speaker 2: most trusted brands in Australia. Fast forward twelve months and 362 00:17:18,960 --> 00:17:23,160 Speaker 2: they'd fallen two hundred places. Wow, you know, two hundred 363 00:17:23,160 --> 00:17:26,760 Speaker 2: and thirty I think. And I spoke to Roy Morgan 364 00:17:26,760 --> 00:17:28,920 Speaker 2: about this and they just said, you never see that. 365 00:17:29,080 --> 00:17:29,880 Speaker 1: You never see that. 366 00:17:29,960 --> 00:17:33,440 Speaker 2: Kind of off a cliff for a company that big. 367 00:17:34,640 --> 00:17:37,960 Speaker 2: I mean, it does happen occasionally. You know, there's thirty places, 368 00:17:38,000 --> 00:17:41,160 Speaker 2: forty places Quantus when it got done for the ghost flights, 369 00:17:41,240 --> 00:17:44,840 Speaker 2: big drop there when Optis got done for the. 370 00:17:44,800 --> 00:17:49,520 Speaker 1: Breach issue whatever it was. Yah. 371 00:17:49,600 --> 00:17:52,560 Speaker 2: Yeah, I mean this does happen. But people are very 372 00:17:52,640 --> 00:17:56,400 Speaker 2: alert to how much they trust an institution, what sort 373 00:17:56,440 --> 00:17:59,480 Speaker 2: of things set them off about it, what smells bad 374 00:17:59,520 --> 00:18:02,240 Speaker 2: to them, And the fact that the messaging is always 375 00:18:02,320 --> 00:18:05,040 Speaker 2: so positive I think has created a problem. I think 376 00:18:05,080 --> 00:18:08,240 Speaker 2: the fact that we as a society, as an industry 377 00:18:08,240 --> 00:18:11,480 Speaker 2: in marketing has gotten so good has now created a 378 00:18:11,480 --> 00:18:13,960 Speaker 2: bit of a problem for them because it feels like 379 00:18:14,040 --> 00:18:16,760 Speaker 2: there's never any other side to the pendulum. It never 380 00:18:16,800 --> 00:18:19,919 Speaker 2: swings back. And where do I say, hey, I hated that. 381 00:18:20,280 --> 00:18:23,720 Speaker 2: You know, that triple lo outage for office was truly terrible. 382 00:18:23,760 --> 00:18:26,480 Speaker 2: Where do I go to talk about that? And so yeah, 383 00:18:26,480 --> 00:18:29,879 Speaker 2: I thought, well, okay, I can talk about the issue. 384 00:18:30,440 --> 00:18:33,960 Speaker 2: I'm a journalist, that's my job. I can try it 385 00:18:34,000 --> 00:18:35,800 Speaker 2: in a few different ways. And all of a sudden, 386 00:18:35,800 --> 00:18:37,440 Speaker 2: you can try it in this way over here, and hey, 387 00:18:37,640 --> 00:18:38,760 Speaker 2: yeah people are engaging with that. 388 00:18:38,800 --> 00:18:40,720 Speaker 1: I'll keep doing it. So what are some of the 389 00:18:40,760 --> 00:18:43,360 Speaker 1: things that have really like jumped off the WAF with. 390 00:18:44,680 --> 00:18:46,960 Speaker 2: I was talking about this before. Actually, the one that 391 00:18:47,840 --> 00:18:50,879 Speaker 2: the first one that really went completely tropo for me 392 00:18:51,119 --> 00:18:52,520 Speaker 2: was when I was talking about competition. 393 00:18:53,359 --> 00:18:54,760 Speaker 1: I was talking, you know, we've only. 394 00:18:54,560 --> 00:19:00,800 Speaker 2: Got two major airlines, four banks, very good sotelcs blah 395 00:19:00,840 --> 00:19:03,600 Speaker 2: blah blah, Yeah basically and just sort of saying that, 396 00:19:03,920 --> 00:19:06,760 Speaker 2: not really adding too much commentary. But that alone, that 397 00:19:06,880 --> 00:19:10,439 Speaker 2: video got sixty five thousand followers, well like within a week, 398 00:19:12,119 --> 00:19:14,639 Speaker 2: and a lot of them were overseas and they and 399 00:19:14,680 --> 00:19:15,800 Speaker 2: the comments. 400 00:19:15,400 --> 00:19:17,679 Speaker 1: Were you mean Australians overseas or a. 401 00:19:17,680 --> 00:19:19,760 Speaker 2: Lot of them were people living, you know, citizens of 402 00:19:19,800 --> 00:19:20,320 Speaker 2: other countries. 403 00:19:20,400 --> 00:19:20,520 Speaker 1: Right. 404 00:19:21,000 --> 00:19:23,439 Speaker 2: The number of comments in there from people who are 405 00:19:23,480 --> 00:19:26,240 Speaker 2: saying it's the same in Canada, or it's the same 406 00:19:26,400 --> 00:19:30,080 Speaker 2: here in the UK, you know, keep talking about that 407 00:19:30,680 --> 00:19:32,879 Speaker 2: from all over the world was really interesting to me 408 00:19:32,960 --> 00:19:36,920 Speaker 2: because here I am Australian journalists covering what I thought 409 00:19:36,960 --> 00:19:39,359 Speaker 2: we was Australian issues and I'm increasingly being told that 410 00:19:39,400 --> 00:19:42,640 Speaker 2: these are global you just happen to be talking about 411 00:19:42,640 --> 00:19:44,200 Speaker 2: them in your chair in Australia. 412 00:19:44,320 --> 00:19:48,400 Speaker 1: Do you think that the globally as well as in Australia, 413 00:19:48,520 --> 00:19:52,639 Speaker 1: that we are the way businesses going, particularly with data 414 00:19:52,720 --> 00:19:56,920 Speaker 1: and smart technologies and I hate using the terminology but 415 00:19:57,160 --> 00:20:01,760 Speaker 1: artificial intelligence, that this chasm between the top two or 416 00:20:01,760 --> 00:20:04,760 Speaker 1: three and everybody else is going to grow. Is that 417 00:20:04,960 --> 00:20:07,480 Speaker 1: something you think? Do you think that this is inevitable? 418 00:20:07,640 --> 00:20:10,480 Speaker 2: Yeah, well we're already seeing that, aren't we. I mean, 419 00:20:10,560 --> 00:20:12,280 Speaker 2: look at the sort of the I mean it depends 420 00:20:12,320 --> 00:20:13,439 Speaker 2: how you want to look at it. If you look 421 00:20:13,480 --> 00:20:16,240 Speaker 2: at the market valuations, the market capitalizations of some of 422 00:20:16,240 --> 00:20:20,480 Speaker 2: those big AI companies on wall streets, absolutely mind bending. 423 00:20:20,680 --> 00:20:21,480 Speaker 1: Yeah. 424 00:20:21,600 --> 00:20:24,920 Speaker 2: I think in Australia that sort of stuff has been 425 00:20:24,920 --> 00:20:27,000 Speaker 2: going on with the big banks for the last few years. 426 00:20:27,000 --> 00:20:28,560 Speaker 2: I mean I looked it up the other day. Market 427 00:20:28,560 --> 00:20:30,919 Speaker 2: cap as I speak to you, for Commonwealth Bank is 428 00:20:30,920 --> 00:20:34,520 Speaker 2: somewhere around the two sixty two seventy billion dollar mark. 429 00:20:34,560 --> 00:20:38,320 Speaker 2: I mean that means that it is bigger than Telstra, Cole's, 430 00:20:38,400 --> 00:20:43,000 Speaker 2: Wilworth's Origin, Harvey Norman and JB. High Fly, handful of 431 00:20:43,040 --> 00:20:48,080 Speaker 2: others combined altogether. And that's happened relatively quickly, you know, 432 00:20:48,280 --> 00:20:50,960 Speaker 2: the valuations, And of course CBO is not on its own, 433 00:20:51,000 --> 00:20:53,360 Speaker 2: it's one of the big four, and Macquarie is now 434 00:20:53,359 --> 00:20:56,639 Speaker 2: increasingly big too. The valuations that we have of those 435 00:20:56,840 --> 00:20:59,840 Speaker 2: companies is massive. So I just I don't know. I 436 00:21:00,119 --> 00:21:02,240 Speaker 2: just feel like we don't get to talk about it 437 00:21:02,280 --> 00:21:05,000 Speaker 2: all that much. And I'm always interested. Such a funny 438 00:21:05,000 --> 00:21:06,719 Speaker 2: feeling marked to be on the other side of these 439 00:21:06,800 --> 00:21:09,399 Speaker 2: questions from you, because I often ask you about this 440 00:21:09,480 --> 00:21:09,960 Speaker 2: sort of stuff. 441 00:21:10,000 --> 00:21:10,680 Speaker 1: Yeah, what do you. 442 00:21:10,600 --> 00:21:12,680 Speaker 2: Think about the size of the big banks now? I mean, 443 00:21:13,320 --> 00:21:16,159 Speaker 2: you know, you are somebody who knows better than anyone 444 00:21:16,160 --> 00:21:18,840 Speaker 2: in the country about how many lenders we have in Australia. 445 00:21:18,920 --> 00:21:22,320 Speaker 1: Not enough, we have thirty lenders, but ninety two percent 446 00:21:22,359 --> 00:21:25,639 Speaker 1: of all lending gets done by four Yeah, and the 447 00:21:25,640 --> 00:21:27,679 Speaker 1: amount of loans you said earlier, but the size of 448 00:21:27,680 --> 00:21:30,960 Speaker 1: them all, which market is massive, which is why no 449 00:21:31,119 --> 00:21:32,760 Speaker 1: one from overseas has ever been able to come and 450 00:21:32,840 --> 00:21:36,159 Speaker 1: crack this market because before have a stranglehold on the 451 00:21:36,160 --> 00:21:39,920 Speaker 1: whole system, in every part, not just lending, every part 452 00:21:39,960 --> 00:21:42,880 Speaker 1: of the banking system. And we've seen a whole lot 453 00:21:42,880 --> 00:21:46,080 Speaker 1: of international lenders come here and try and have a crack. 454 00:21:46,200 --> 00:21:48,919 Speaker 1: Even General Electric, who was the biggest finance company in 455 00:21:48,920 --> 00:21:51,680 Speaker 1: the world, Yeah, came here and didn't do too well. 456 00:21:51,760 --> 00:21:55,080 Speaker 1: And because the banking systems have got a complete claw 457 00:21:55,160 --> 00:22:00,119 Speaker 1: hold on everybody. But at the same time, Chris, they 458 00:22:00,200 --> 00:22:03,159 Speaker 1: are also some of the most profitable banks and some 459 00:22:03,200 --> 00:22:05,400 Speaker 1: of the safest, probably the safest banks of the world 460 00:22:05,440 --> 00:22:09,160 Speaker 1: outside of Rabobank, and they definitely are some of the 461 00:22:09,160 --> 00:22:12,000 Speaker 1: They are the four by banks, are the highest rated 462 00:22:12,720 --> 00:22:16,200 Speaker 1: independently rated banks in the world and our market cap 463 00:22:16,240 --> 00:22:18,960 Speaker 1: they are the most profitable banks in the world relative 464 00:22:19,000 --> 00:22:21,480 Speaker 1: to the market capitalization. Do you think they're the best run? 465 00:22:22,640 --> 00:22:27,000 Speaker 1: I think yeah, I would say so. Yeah, I think 466 00:22:27,160 --> 00:22:32,160 Speaker 1: as retail banks, yes, they probably are. They're very well run. 467 00:22:32,240 --> 00:22:35,120 Speaker 1: And Australians too. By the way, are very sophisticated as 468 00:22:35,720 --> 00:22:41,080 Speaker 1: consumers of banking, so that sort of forces the banks 469 00:22:41,080 --> 00:22:42,879 Speaker 1: to be better at what they do too. Like you 470 00:22:42,960 --> 00:22:46,320 Speaker 1: go in the US, there's like eleven thousand banks, and 471 00:22:46,359 --> 00:22:49,480 Speaker 1: you know, there's a kinetic women's bank that exists just 472 00:22:49,520 --> 00:22:52,240 Speaker 1: in kineticut one branch. You know, they've got banks everywhere, 473 00:22:52,280 --> 00:22:54,480 Speaker 1: So they're not they don't have the technology, they don't 474 00:22:54,480 --> 00:22:57,960 Speaker 1: have the scale to employ the technology, they don't have 475 00:22:58,680 --> 00:23:04,120 Speaker 1: the products, that don't have scar to justify the products, 476 00:23:04,119 --> 00:23:07,080 Speaker 1: et cetera, et cetera. So they are much less sophisticated. 477 00:23:07,080 --> 00:23:09,920 Speaker 1: They're much smaller. And by the way, there's bank failures 478 00:23:09,920 --> 00:23:12,760 Speaker 1: there all the time. So and our regulator here, I 479 00:23:12,760 --> 00:23:15,320 Speaker 1: mean is pretty boring. But like our regulator here, Opera 480 00:23:15,760 --> 00:23:19,840 Speaker 1: is a bloody good regulator relatively speaking, because it doesn't 481 00:23:19,840 --> 00:23:22,199 Speaker 1: have that many people to regulate banks to regulate. But 482 00:23:22,200 --> 00:23:24,600 Speaker 1: our banks that are so well run, so it regulates 483 00:23:24,640 --> 00:23:26,440 Speaker 1: them quite well. I mean, it's to some extent they're 484 00:23:26,480 --> 00:23:29,359 Speaker 1: probably overregulator, but at the same time it keeps our 485 00:23:29,359 --> 00:23:32,240 Speaker 1: financial system really stable in Australia as a result of 486 00:23:32,280 --> 00:23:34,520 Speaker 1: I guess, you know, like our trouble a rating here 487 00:23:34,840 --> 00:23:36,000 Speaker 1: has a lot to do with the fact that our 488 00:23:36,040 --> 00:23:37,440 Speaker 1: banks are very stable. It's so strong. 489 00:23:37,480 --> 00:23:39,400 Speaker 2: It's interesting to hear you say that about APRA, because 490 00:23:39,400 --> 00:23:40,800 Speaker 2: I think one of the things that I often hear 491 00:23:40,920 --> 00:23:44,080 Speaker 2: is criticism of our regulators, whether it's ageable, c ACID 492 00:23:44,240 --> 00:23:46,720 Speaker 2: or oper and I actually don't have that much time 493 00:23:46,760 --> 00:23:48,880 Speaker 2: for that conversation. I think they do a very good job. 494 00:23:49,320 --> 00:23:51,640 Speaker 2: I think they're pretty sharp. I think they hand over 495 00:23:51,840 --> 00:23:55,919 Speaker 2: very well researched cases to the federal court when they 496 00:23:55,960 --> 00:23:57,880 Speaker 2: need to, and I think they've claimed some pretty big 497 00:23:57,880 --> 00:23:59,280 Speaker 2: scalps in the last few years. 498 00:24:00,320 --> 00:24:04,400 Speaker 1: Has and our appro to what's interesting. During the GFC, 499 00:24:06,480 --> 00:24:09,120 Speaker 1: there was a couple of banks who got absorbed into 500 00:24:09,160 --> 00:24:12,400 Speaker 1: the system. You know, Sir George got taken over by Westpac. 501 00:24:13,080 --> 00:24:16,000 Speaker 1: Bank west got taken over by CBA. There's quite a 502 00:24:16,080 --> 00:24:20,000 Speaker 1: number of mergers, and more recently we had all those neobanks. 503 00:24:20,680 --> 00:24:22,080 Speaker 1: Some of those near banks had a lot of trouble 504 00:24:22,119 --> 00:24:24,919 Speaker 1: raising enough capital to continue to grow because they couldn't 505 00:24:25,200 --> 00:24:28,000 Speaker 1: attract enough deposits to be able to end. You haven't 506 00:24:28,040 --> 00:24:30,359 Speaker 1: heard of any failures. They've all been absorbed into the 507 00:24:30,359 --> 00:24:33,840 Speaker 1: banking system. So the regulator is very good at encouraging 508 00:24:33,920 --> 00:24:36,240 Speaker 1: the bigger guys to make sure that there is no 509 00:24:36,359 --> 00:24:38,520 Speaker 1: failures in our system. We haven't had any failures in 510 00:24:38,560 --> 00:24:41,600 Speaker 1: our system, do you think bank bank? Yeah, but for 511 00:24:41,640 --> 00:24:45,879 Speaker 1: the regulator and those banking licenses don't exist anymore. But 512 00:24:46,240 --> 00:24:50,359 Speaker 1: those systems have been absorbed up the line, either into CBA, Westpac, Ains, 513 00:24:50,720 --> 00:24:55,960 Speaker 1: nab Et cetera, Macquarie. So the big five have been 514 00:24:56,080 --> 00:25:00,479 Speaker 1: very compliant and I would say very accommodating to the regulator. 515 00:25:00,480 --> 00:25:01,960 Speaker 1: But at the same time the regulators looking out for 516 00:25:01,960 --> 00:25:04,960 Speaker 1: them too. And it's all about financial stability, and we 517 00:25:05,280 --> 00:25:10,399 Speaker 1: enjoy in this country an extraordinarily financial stable financial system. 518 00:25:10,440 --> 00:25:12,159 Speaker 1: I mean, sure, we've got interest rates going around the 519 00:25:12,200 --> 00:25:14,680 Speaker 1: joint we can get you know, we can be forgiven 520 00:25:14,720 --> 00:25:18,639 Speaker 1: for being feeling like we've got brain damage because this 521 00:25:18,720 --> 00:25:21,879 Speaker 1: time last year we had an interest rate reduction, getting 522 00:25:21,880 --> 00:25:25,120 Speaker 1: told that inflation was under control, and a few months 523 00:25:25,160 --> 00:25:27,959 Speaker 1: later we got another rate reduction, another rate reduction, and 524 00:25:28,000 --> 00:25:32,040 Speaker 1: then we were being told that the current industrate settings 525 00:25:32,119 --> 00:25:37,040 Speaker 1: by the Reserve Bank was restrictive. And that question that 526 00:25:37,119 --> 00:25:40,040 Speaker 1: was asked by the ABC in the press after the 527 00:25:40,200 --> 00:25:44,480 Speaker 1: RBA meeting this week was a good one because we 528 00:25:44,520 --> 00:25:46,760 Speaker 1: all thought we were in a restrictive environment and now 529 00:25:46,840 --> 00:25:50,000 Speaker 1: we probably now we're probably in some other environments. Last 530 00:25:50,000 --> 00:25:53,720 Speaker 1: week's one being stimulatory because you have to say to yourself, well, 531 00:25:53,720 --> 00:25:56,440 Speaker 1: if the if inflation has gone up and private demand 532 00:25:56,480 --> 00:26:00,320 Speaker 1: aggrigate demand is increasing, we must be stimulating the So 533 00:26:00,359 --> 00:26:03,000 Speaker 1: you can be forgiven for that. But outside of that stuff, 534 00:26:03,200 --> 00:26:06,600 Speaker 1: our banking system, our financial system is very stable. It's 535 00:26:06,640 --> 00:26:09,199 Speaker 1: really good. So whilst I compete with the banks in 536 00:26:09,200 --> 00:26:12,120 Speaker 1: some respects, whilst I also deal with the banks and 537 00:26:12,160 --> 00:26:16,440 Speaker 1: in some respects, and whilst I don't like olivegoblies generally speaking, 538 00:26:17,400 --> 00:26:20,919 Speaker 1: you know where a few control many are just in 539 00:26:20,920 --> 00:26:25,159 Speaker 1: a principal sense I do it. I also celebrate the 540 00:26:25,200 --> 00:26:27,679 Speaker 1: fact that as a result of those things we are 541 00:26:27,800 --> 00:26:30,480 Speaker 1: very stable. Compared to the rest of the world, we're 542 00:26:30,520 --> 00:26:35,159 Speaker 1: in good shape. But if we're looking at institutions, and 543 00:26:35,200 --> 00:26:38,600 Speaker 1: you told me about that, one particular example of what 544 00:26:39,040 --> 00:26:41,600 Speaker 1: has worked really well with that is saying talking about 545 00:26:42,119 --> 00:26:43,959 Speaker 1: how Australian probably the rest of the world is the 546 00:26:43,960 --> 00:26:47,159 Speaker 1: same case is pretty much in every industry it's two 547 00:26:47,240 --> 00:26:51,399 Speaker 1: or three control consolidation for everybody else. Yep, consolidation has 548 00:26:51,400 --> 00:26:54,360 Speaker 1: happened over time what else is kicked off really hard 549 00:26:54,400 --> 00:26:56,720 Speaker 1: for you know, I talk it's funny. 550 00:26:56,720 --> 00:26:59,320 Speaker 2: This is going to sound completely different, and arguably dog 551 00:26:59,359 --> 00:27:01,440 Speaker 2: leagues compsation in a way that we may not want good. 552 00:27:01,560 --> 00:27:02,640 Speaker 1: But no, I'm happy with dog LEAs. 553 00:27:02,680 --> 00:27:05,440 Speaker 2: We'll do it anyway. I do basically and have done 554 00:27:05,440 --> 00:27:07,159 Speaker 2: two types of videos. How you have a look at 555 00:27:07,160 --> 00:27:09,639 Speaker 2: this weird thing that's going on in the economy. I 556 00:27:09,720 --> 00:27:12,239 Speaker 2: reckon it's worth talking about. And the other type is 557 00:27:12,560 --> 00:27:14,600 Speaker 2: historical business stories but you didn't know that this is 558 00:27:14,640 --> 00:27:17,800 Speaker 2: how you know post its were created, or how they 559 00:27:17,840 --> 00:27:20,159 Speaker 2: came up with the pringle, or you know. And I 560 00:27:20,160 --> 00:27:23,800 Speaker 2: think they have done really well. People like a kind 561 00:27:23,840 --> 00:27:26,840 Speaker 2: of a funny story about how Blockbuster came a cropper 562 00:27:27,040 --> 00:27:30,239 Speaker 2: or how you know, do you remember when Yahoo had 563 00:27:30,240 --> 00:27:32,879 Speaker 2: the chance to buy Google for a million bucks and 564 00:27:32,920 --> 00:27:35,680 Speaker 2: said no? Or the time that not that long ago, 565 00:27:35,760 --> 00:27:40,080 Speaker 2: Samsung's batteries kept blowing up. I think they're funny. I 566 00:27:40,119 --> 00:27:43,040 Speaker 2: can't stop reading about them. I love those books, and 567 00:27:43,080 --> 00:27:46,480 Speaker 2: I think they kind of lend themselves to occasionally reminding 568 00:27:46,480 --> 00:27:50,040 Speaker 2: people that executives can be kind of vulnerable. 569 00:27:51,760 --> 00:27:53,080 Speaker 1: That's a nice way of putting it. 570 00:27:53,160 --> 00:27:55,600 Speaker 2: I think sometimes people at home kind of like looking 571 00:27:55,640 --> 00:27:57,400 Speaker 2: at these guys as you know, oh. 572 00:27:59,680 --> 00:28:02,560 Speaker 1: Totally, so you naturally are you naturally muck around type 573 00:28:02,560 --> 00:28:04,359 Speaker 1: of guy? Naturally funny guy. I muck around. 574 00:28:04,400 --> 00:28:06,080 Speaker 2: I mean I muck around my kids all the time 575 00:28:06,640 --> 00:28:09,000 Speaker 2: at home. I mean it's hard because the job is 576 00:28:09,040 --> 00:28:12,119 Speaker 2: so serious. You tie on microphone in hand, tell us, 577 00:28:12,200 --> 00:28:14,520 Speaker 2: tell me the story. 578 00:28:14,560 --> 00:28:18,440 Speaker 1: But I know, muck around because because I have to 579 00:28:18,480 --> 00:28:22,600 Speaker 1: be honest with Like your dad, Alan is, I mean, 580 00:28:23,760 --> 00:28:27,439 Speaker 1: compared to him, you're so differently. I mean I used 581 00:28:27,480 --> 00:28:29,520 Speaker 1: to watch I used to watch ABC News all the time, 582 00:28:29,680 --> 00:28:32,480 Speaker 1: and for those people don't know, Alan would always used 583 00:28:32,480 --> 00:28:33,600 Speaker 1: to be I don't know, he stillies, but it was 584 00:28:33,600 --> 00:28:35,120 Speaker 1: always on at the end of the news and he'd 585 00:28:35,160 --> 00:28:38,280 Speaker 1: have a little finance thing and he say, that's finance 586 00:28:38,440 --> 00:28:39,720 Speaker 1: or something like that. Right at the end of it. 587 00:28:40,480 --> 00:28:41,840 Speaker 1: He goat for a minute or two, and he used 588 00:28:41,840 --> 00:28:44,560 Speaker 1: to explain things brilliantly. But he would be standing there 589 00:28:44,600 --> 00:28:46,160 Speaker 1: in front of the camera and his hands used to 590 00:28:46,280 --> 00:28:49,880 Speaker 1: always be down by his side. It's true, Am I true? 591 00:28:49,880 --> 00:28:51,959 Speaker 1: Am I right? I wish you to do it. His 592 00:28:52,040 --> 00:28:54,440 Speaker 1: hands were sort of like that, like he looked really awkward, 593 00:28:55,040 --> 00:28:56,280 Speaker 1: really awkward, and a. 594 00:28:56,200 --> 00:28:57,880 Speaker 2: Lot of that comes down to framing. I don't think 595 00:28:57,880 --> 00:28:58,520 Speaker 2: that's his fault. 596 00:28:58,520 --> 00:29:02,360 Speaker 1: But yes, yeah, he's so. But he's the opposite to funny. 597 00:29:02,600 --> 00:29:05,440 Speaker 1: But it could be that he's a really funny bugger. 598 00:29:05,680 --> 00:29:08,479 Speaker 2: He loves to he I think he's very funny. He 599 00:29:08,520 --> 00:29:11,800 Speaker 2: loves to knock the audience off balance. Like he'll talk 600 00:29:11,840 --> 00:29:14,760 Speaker 2: about the you know, the Nasdak, the all Lords commodity prices, 601 00:29:14,760 --> 00:29:15,920 Speaker 2: and then all of a sudden he'll put up a 602 00:29:15,960 --> 00:29:17,360 Speaker 2: chart showing the price a kiwi for it. 603 00:29:17,600 --> 00:29:22,640 Speaker 1: Yeah, everyone where that come from. It's out there. 604 00:29:22,520 --> 00:29:24,400 Speaker 2: And he loves it. That's why he's been doing it 605 00:29:24,440 --> 00:29:26,719 Speaker 2: for so long. I think he really liked it. And 606 00:29:26,760 --> 00:29:28,479 Speaker 2: I've talked to him about this a lot of times. 607 00:29:28,560 --> 00:29:30,880 Speaker 2: And obviously I grew up watching him. I mean, the 608 00:29:30,920 --> 00:29:33,240 Speaker 2: way I present is modeled on the way he presents. 609 00:29:33,960 --> 00:29:36,000 Speaker 2: But he's told me more times than I can count 610 00:29:36,000 --> 00:29:38,640 Speaker 2: that he has always had the opinion. And he's been 611 00:29:38,640 --> 00:29:40,520 Speaker 2: a finance journal since the beginning as well. He was 612 00:29:40,560 --> 00:29:43,880 Speaker 2: seventeen when he started covering Wow, and he's still doing 613 00:29:43,920 --> 00:29:44,840 Speaker 2: it in his seventies. 614 00:29:45,600 --> 00:29:47,760 Speaker 1: His view is, I understand that. 615 00:29:47,680 --> 00:29:50,120 Speaker 2: Not everybody's up for a big chat on finance every 616 00:29:50,200 --> 00:29:52,320 Speaker 2: night on the news. I want to thank you for 617 00:29:52,360 --> 00:29:54,200 Speaker 2: tuning in and paying attention to me, and I want 618 00:29:54,200 --> 00:29:55,960 Speaker 2: to thank you by giving you something to go. 619 00:29:55,960 --> 00:29:59,400 Speaker 1: Huh yeah, Because, by the way, that is true. There 620 00:29:59,440 --> 00:30:01,800 Speaker 1: is a heart a moment there. That's something I didn't 621 00:30:01,800 --> 00:30:03,080 Speaker 1: know about you, and that's him. 622 00:30:03,120 --> 00:30:05,120 Speaker 2: It's him winking in saying thanks, and I think that's 623 00:30:05,160 --> 00:30:05,800 Speaker 2: a great thing to do. 624 00:30:06,080 --> 00:30:09,000 Speaker 1: Well, he'll pull out some sort of graph and I think, 625 00:30:09,440 --> 00:30:11,320 Speaker 1: how long did it take to put that thing together? 626 00:30:12,280 --> 00:30:15,240 Speaker 1: But it's about some weird type of thing, and there's 627 00:30:15,280 --> 00:30:18,720 Speaker 1: something scent what you're doing similar but on a modern platform. Well, 628 00:30:18,760 --> 00:30:20,400 Speaker 1: that's very nice of you to say. I mean, I 629 00:30:20,560 --> 00:30:21,360 Speaker 1: kind of it. 630 00:30:21,520 --> 00:30:23,640 Speaker 2: Is talked a dub about these videos a lot of 631 00:30:23,680 --> 00:30:26,320 Speaker 2: times to get his thoughts obviously, you know, he's a 632 00:30:26,400 --> 00:30:28,840 Speaker 2: mentor of mine in addition to being my dad, and 633 00:30:29,480 --> 00:30:31,480 Speaker 2: he's been so supportive. You know, he's appeared in a 634 00:30:31,520 --> 00:30:32,120 Speaker 2: bunch of them. 635 00:30:32,120 --> 00:30:34,320 Speaker 1: Has he. I haven't seen those ones. I'll you, I 636 00:30:34,400 --> 00:30:36,440 Speaker 1: got to see those. Yeah, he likes it. 637 00:30:36,920 --> 00:30:38,320 Speaker 2: We both have a lot of fun when we do 638 00:30:38,480 --> 00:30:41,160 Speaker 2: that because we talk about economics all the time. I mean, 639 00:30:41,200 --> 00:30:43,880 Speaker 2: that's a great thing about being in the same industry 640 00:30:43,880 --> 00:30:46,120 Speaker 2: as a parent, I'm sure there's a lot of people 641 00:30:46,160 --> 00:30:48,640 Speaker 2: listening who might be in the same sort of industry. 642 00:30:48,680 --> 00:30:50,840 Speaker 2: And you know, you're halftime at the foot, you're talking 643 00:30:50,880 --> 00:30:53,680 Speaker 2: about your siblings or the house at home or whatever. 644 00:30:53,720 --> 00:30:55,520 Speaker 2: All of a sudden it flows into work chat the 645 00:30:55,600 --> 00:30:56,880 Speaker 2: economy that flows back out. 646 00:30:57,280 --> 00:30:58,000 Speaker 1: I mean it's great. 647 00:30:58,080 --> 00:31:00,320 Speaker 2: And so when we sit down to do something like 648 00:31:00,400 --> 00:31:03,720 Speaker 2: a video, he's you know, we're on the same page automatically. 649 00:31:03,800 --> 00:31:06,280 Speaker 1: It's really nice. Was it was it a discussion at 650 00:31:06,880 --> 00:31:09,360 Speaker 1: family barbecues or at home at night? I presume it's 651 00:31:09,400 --> 00:31:11,520 Speaker 1: not live. I don't know when he used to record 652 00:31:11,520 --> 00:31:12,960 Speaker 1: his stuff. Would he be at home for dinner and 653 00:31:13,400 --> 00:31:14,800 Speaker 1: and you'd all be sitting around and say, hey, Dad, 654 00:31:14,880 --> 00:31:16,520 Speaker 1: we sort of intelligent tonight, or we're going to watch 655 00:31:16,520 --> 00:31:18,600 Speaker 1: you on the ABC tonight, And did you did you 656 00:31:18,640 --> 00:31:20,960 Speaker 1: guys discuss what he's going to talk about? Yeah, yep. 657 00:31:21,680 --> 00:31:23,840 Speaker 1: We always turned it down. You know, watch watch dad. 658 00:31:24,040 --> 00:31:24,800 Speaker 1: You know we watched. 659 00:31:24,960 --> 00:31:26,720 Speaker 2: We'd kind of sit there and we watch it. Was 660 00:31:26,760 --> 00:31:30,360 Speaker 2: definitely know ABC was always on when I was a kid, 661 00:31:30,560 --> 00:31:33,600 Speaker 2: and so me going to Channel nine for my family, 662 00:31:33,600 --> 00:31:35,680 Speaker 2: it was a bit oh okay, let's watch some Channel nine. 663 00:31:35,720 --> 00:31:35,840 Speaker 1: Now. 664 00:31:35,920 --> 00:31:38,560 Speaker 2: Yeah, wow, So I obviously I am a huge fan 665 00:31:38,600 --> 00:31:41,080 Speaker 2: of Peter Hitchener, but it's not the same. He wasn't 666 00:31:41,200 --> 00:31:44,880 Speaker 2: on in our household all the time. But now, you know, 667 00:31:45,080 --> 00:31:47,400 Speaker 2: my mum gets to say, well, Dad's on it at 668 00:31:47,520 --> 00:31:49,120 Speaker 2: seven and Chris is on at six, so I can 669 00:31:49,200 --> 00:31:53,479 Speaker 2: watch both. So it's kind of nice. But but yeah, no, definitely, 670 00:31:53,560 --> 00:31:55,480 Speaker 2: we always we always talked a little bit about it 671 00:31:55,520 --> 00:31:57,720 Speaker 2: at the end of what he said, and if I 672 00:31:57,760 --> 00:32:00,600 Speaker 2: had a question, I had this incredible resource to ask him, 673 00:32:01,040 --> 00:32:01,880 Speaker 2: can you tell me more about that? 674 00:32:01,920 --> 00:32:04,480 Speaker 1: He's a great economist, Like he really is a great 675 00:32:04,520 --> 00:32:11,040 Speaker 1: economics as particularly as an economic journalist. His detail is 676 00:32:11,120 --> 00:32:17,360 Speaker 1: very good. But he does also do business interviews. Yes, 677 00:32:18,040 --> 00:32:20,040 Speaker 1: he interviewed me a couple of times, like about business, 678 00:32:20,080 --> 00:32:23,480 Speaker 1: about my business, and which is sort of not dissimilar 679 00:32:23,520 --> 00:32:24,640 Speaker 1: to what you do as well. 680 00:32:24,760 --> 00:32:26,480 Speaker 2: Well, I think I can see why he did. I mean, 681 00:32:26,520 --> 00:32:28,880 Speaker 2: he loves those perspectives. You know, he wants to know 682 00:32:29,040 --> 00:32:31,200 Speaker 2: what it's like on the ground, as a good journalist 683 00:32:31,280 --> 00:32:33,800 Speaker 2: always should what is going on in that space. You 684 00:32:33,880 --> 00:32:36,040 Speaker 2: can tell me better than anybody else because you know, 685 00:32:36,680 --> 00:32:38,480 Speaker 2: and I think that's coming back to the fact that 686 00:32:38,600 --> 00:32:40,400 Speaker 2: I do these two types of videos. I mean, I 687 00:32:40,400 --> 00:32:42,880 Speaker 2: think it's important for both of us, because we have 688 00:32:43,000 --> 00:32:45,080 Speaker 2: to be critical of business, to also make sure that 689 00:32:45,120 --> 00:32:46,600 Speaker 2: everybody knows that we are pro business. 690 00:32:47,080 --> 00:32:50,080 Speaker 1: We like him, we think they're well. You are well not. 691 00:32:50,520 --> 00:32:53,840 Speaker 1: I can't say about every journalist, but definitely you are yes. 692 00:32:54,120 --> 00:32:55,760 Speaker 2: And I don't want that to get lost. I think 693 00:32:55,920 --> 00:32:58,960 Speaker 2: is because I do. I do criticize industries, and I 694 00:32:59,040 --> 00:33:01,560 Speaker 2: think by doing ones where you talk about an historical 695 00:33:01,600 --> 00:33:05,000 Speaker 2: business story, hopefully you can see some affection come through. 696 00:33:05,360 --> 00:33:06,320 Speaker 1: But I do like this. 697 00:33:07,120 --> 00:33:10,400 Speaker 2: I think that there's nothing wrong with the pursuit of profit. 698 00:33:10,840 --> 00:33:13,800 Speaker 2: I think there's absolutely no issue in starting and growing 699 00:33:13,880 --> 00:33:16,960 Speaker 2: a business, and I can see why incentives lead you 700 00:33:17,080 --> 00:33:19,640 Speaker 2: to consolidate. All this kind of stuff makes sense to me. 701 00:33:20,360 --> 00:33:22,080 Speaker 2: Doesn't mean that you need to get a free pass. 702 00:33:22,160 --> 00:33:24,360 Speaker 2: But it also doesn't mean that I hate anybody really 703 00:33:24,440 --> 00:33:24,800 Speaker 2: out there. 704 00:33:25,040 --> 00:33:28,160 Speaker 1: When you see someone like Joe Aston, you probably made 705 00:33:28,200 --> 00:33:34,840 Speaker 1: the Joe Joe when he went hard on quantas. There's 706 00:33:34,920 --> 00:33:38,080 Speaker 1: no secret Joe's made a career out of it. He's 707 00:33:38,160 --> 00:33:41,320 Speaker 1: killed it. What do you what does a journals like 708 00:33:41,360 --> 00:33:44,680 Speaker 1: you think about that? You think it's brave, courageous or 709 00:33:44,680 --> 00:33:48,200 Speaker 1: do you think it's smart or do you think it's 710 00:33:48,360 --> 00:33:50,040 Speaker 1: should be done? What do you think? 711 00:33:50,720 --> 00:33:52,800 Speaker 2: Well, I'm first of all, I'm very glad that we 712 00:33:52,880 --> 00:33:54,920 Speaker 2: live in a country where we don't have censorship and 713 00:33:55,000 --> 00:33:58,240 Speaker 2: we can have a really open media that everybody's kind 714 00:33:58,240 --> 00:34:00,160 Speaker 2: of able to do whatever they want, and there's an 715 00:34:00,160 --> 00:34:01,320 Speaker 2: audience for what Joe's doing. 716 00:34:01,360 --> 00:34:02,720 Speaker 1: That's right. 717 00:34:02,920 --> 00:34:05,440 Speaker 2: I mean, I think what you find out very quickly 718 00:34:05,560 --> 00:34:06,960 Speaker 2: is whether or not people are listening to you and 719 00:34:07,040 --> 00:34:10,440 Speaker 2: paying attention to you, and in a way, the audience 720 00:34:10,640 --> 00:34:13,839 Speaker 2: is in charge, and so you kind of go, all right, 721 00:34:13,840 --> 00:34:18,240 Speaker 2: We've got this beautiful, big, increasingly fractured and multifaceted media 722 00:34:18,280 --> 00:34:20,919 Speaker 2: space that's kind of good for audiences. They can listen 723 00:34:20,920 --> 00:34:24,200 Speaker 2: to all kinds of stuff. And Joe, you know, he's 724 00:34:24,280 --> 00:34:27,000 Speaker 2: not just griping. He does a lot of research, a lot, 725 00:34:27,360 --> 00:34:29,719 Speaker 2: you know, And that's the thing. Rigor is at the 726 00:34:29,800 --> 00:34:33,440 Speaker 2: base of good journalism and actually doing the work. And 727 00:34:33,560 --> 00:34:35,560 Speaker 2: so I think, you know, there's not a whole lot 728 00:34:35,600 --> 00:34:36,440 Speaker 2: of problem with that. 729 00:34:36,760 --> 00:34:40,160 Speaker 1: He likes to uncover the pure truth, maybe even go 730 00:34:40,280 --> 00:34:43,520 Speaker 1: against the narrative, like what everybody thinks. He's very good 731 00:34:43,560 --> 00:34:47,120 Speaker 1: at that. That's a real pure journalism. So do you 732 00:34:47,160 --> 00:34:51,239 Speaker 1: ever think to yourself, I want to be taken as 733 00:34:51,280 --> 00:34:54,759 Speaker 1: a serious journalist, which you are, will be known as 734 00:34:54,800 --> 00:34:58,440 Speaker 1: a serious journalist journalist like Joe is because Joe never 735 00:34:58,520 --> 00:35:00,560 Speaker 1: really sort of takes a pisce what does the skitties. 736 00:35:01,520 --> 00:35:06,200 Speaker 1: It's either a one hour presentation like on his podcasts, 737 00:35:08,000 --> 00:35:12,920 Speaker 1: or it's a big article like deep So Joe's known 738 00:35:13,000 --> 00:35:16,160 Speaker 1: for one thing. You're known for serious six pm news. 739 00:35:16,680 --> 00:35:18,040 Speaker 1: But at the same time you're now becoming I think 740 00:35:18,080 --> 00:35:21,120 Speaker 1: it's becoming more well known for your skits. Let's cat 741 00:35:21,160 --> 00:35:24,040 Speaker 1: your skits. Then I'm not trying to do a disservice 742 00:35:24,080 --> 00:35:26,160 Speaker 1: by saying the skits they are skits, but talking about 743 00:35:26,200 --> 00:35:32,480 Speaker 1: serious important topics. Do you ever give this ech that 744 00:35:32,600 --> 00:35:34,600 Speaker 1: you want to be known to be one or the other. 745 00:35:35,239 --> 00:35:38,680 Speaker 2: Yeah, it's a really interesting question. I think I benefit 746 00:35:38,760 --> 00:35:42,120 Speaker 2: from the fact that I can do both simultaneously, and 747 00:35:42,280 --> 00:35:44,719 Speaker 2: I can I can present the news. I can do 748 00:35:45,080 --> 00:35:47,560 Speaker 2: the RBA story and talk about it, ask a questions, 749 00:35:47,640 --> 00:35:49,759 Speaker 2: shell bull looking my capacity as a journalist, and then 750 00:35:49,800 --> 00:35:52,480 Speaker 2: I can also go back and think about it and 751 00:35:52,600 --> 00:35:55,279 Speaker 2: present it as a skit, something comedic. But the way 752 00:35:55,360 --> 00:35:58,680 Speaker 2: I think about it is that journalism isn't one thing 753 00:35:59,440 --> 00:36:04,040 Speaker 2: today today and really ever, I mean, hard news has 754 00:36:04,080 --> 00:36:08,880 Speaker 2: always sat alongside journalistic opinion, journalistic analysis columns. You know, 755 00:36:09,400 --> 00:36:12,000 Speaker 2: we give that right to certain members of the media 756 00:36:12,040 --> 00:36:13,719 Speaker 2: and say you can write a weekly column and I'll 757 00:36:13,719 --> 00:36:15,440 Speaker 2: read it, read your thoughts, see what you've got to 758 00:36:15,480 --> 00:36:16,960 Speaker 2: say on this, because you take it all in and 759 00:36:17,640 --> 00:36:18,920 Speaker 2: you know, you tell me the news, but now I 760 00:36:19,000 --> 00:36:21,080 Speaker 2: want to hear what you reckon. I think of these 761 00:36:21,440 --> 00:36:23,760 Speaker 2: these videos, these skits is kind of like a column 762 00:36:23,920 --> 00:36:24,359 Speaker 2: in a way. 763 00:36:24,560 --> 00:36:26,440 Speaker 1: I mean, it's just me. 764 00:36:26,680 --> 00:36:29,640 Speaker 2: It's me talking about what I think about it, the 765 00:36:29,719 --> 00:36:33,200 Speaker 2: way I'm processing the information. It's not hard news, but 766 00:36:33,239 --> 00:36:35,000 Speaker 2: I like to think of it as sort of it's. 767 00:36:34,920 --> 00:36:37,320 Speaker 1: In that sphere. It's adjacent. I mean, it's kind of 768 00:36:38,920 --> 00:36:40,240 Speaker 1: you know, it's sort. 769 00:36:40,080 --> 00:36:44,560 Speaker 2: Of in that ballpark somewhere in a new world. It's 770 00:36:44,680 --> 00:36:47,840 Speaker 2: kind of in a way, it grew out of frustration. 771 00:36:48,160 --> 00:36:51,400 Speaker 2: I do interviews, as you know, and sometimes, you know, 772 00:36:51,560 --> 00:36:55,600 Speaker 2: you get the sense that CEOs or CFOs, just like politicians, 773 00:36:55,600 --> 00:36:57,560 Speaker 2: are getting so polished in what they can and can't say, 774 00:36:57,600 --> 00:36:59,560 Speaker 2: that you end up getting a spiel that you didn't 775 00:36:59,560 --> 00:37:01,840 Speaker 2: really are for and so you go home and you go, 776 00:37:02,320 --> 00:37:03,920 Speaker 2: what do I reckon they really wanted to say? 777 00:37:04,480 --> 00:37:06,920 Speaker 1: And then you do it yourself. You become them because 778 00:37:07,000 --> 00:37:09,680 Speaker 1: because I think that's that's very interesting, because I think 779 00:37:09,760 --> 00:37:14,600 Speaker 1: that's where we're at now is precisely what you just said. 780 00:37:15,160 --> 00:37:20,759 Speaker 1: In terms of mainstream news, you know, TV, radio, newspapers, 781 00:37:22,360 --> 00:37:26,680 Speaker 1: that mainstream stuff. The spokesperson for an industry or an 782 00:37:26,680 --> 00:37:32,640 Speaker 1: institution or organization have become so well honed on controlling 783 00:37:32,960 --> 00:37:38,600 Speaker 1: the narrative, including politicians, and they have a bevy of 784 00:37:38,640 --> 00:37:40,799 Speaker 1: people sit below them and telling them what to say 785 00:37:40,840 --> 00:37:42,359 Speaker 1: and how to say it. And even the Reserve Bank 786 00:37:42,400 --> 00:37:47,480 Speaker 1: governor she gets advised by media advisors before she gets 787 00:37:47,560 --> 00:37:49,800 Speaker 1: up and she's probably even doing you know, Q and 788 00:37:49,880 --> 00:37:51,800 Speaker 1: A and stuff like that. Make sure that she's tested 789 00:37:51,880 --> 00:37:53,960 Speaker 1: out where she's where she's going to go, because we 790 00:37:54,040 --> 00:37:57,280 Speaker 1: don't want her misleading the market, or we're not misleading 791 00:37:57,280 --> 00:37:59,400 Speaker 1: the market, but by saying something into the marketplace that 792 00:37:59,400 --> 00:38:02,960 Speaker 1: could actually as a problem or create an outcome. So 793 00:38:03,120 --> 00:38:06,000 Speaker 1: that makes sense to me. And previous and of course 794 00:38:06,120 --> 00:38:10,080 Speaker 1: the RBA has been bitten hard from the previous governor 795 00:38:10,080 --> 00:38:13,279 Speaker 1: who made that statement about industry not going to go 796 00:38:13,400 --> 00:38:15,399 Speaker 1: up for another year or so, you know, they would 797 00:38:15,400 --> 00:38:19,080 Speaker 1: have learned their lesson hard way there. So that makes 798 00:38:19,120 --> 00:38:22,759 Speaker 1: sense that people are much more polished. But as a 799 00:38:22,840 --> 00:38:24,680 Speaker 1: result or they may be much more polished. It doesn't 800 00:38:24,680 --> 00:38:27,160 Speaker 1: matter how hard you press as a good journalist in 801 00:38:27,280 --> 00:38:29,759 Speaker 1: a serious conversation, you're not going to get out of 802 00:38:29,800 --> 00:38:32,880 Speaker 1: them what the audience, what we really we want to 803 00:38:32,960 --> 00:38:37,480 Speaker 1: really hear you can. So I totally agree, we're just 804 00:38:37,560 --> 00:38:39,440 Speaker 1: not going to get it. It doesn't matter whether it's 805 00:38:40,120 --> 00:38:42,200 Speaker 1: you know, Donald Trump, the President the United States, or 806 00:38:42,719 --> 00:38:46,360 Speaker 1: Macron or you know whoever it is our prime minister 807 00:38:46,440 --> 00:38:49,560 Speaker 1: as well, We're just not going to get the information 808 00:38:49,680 --> 00:38:53,000 Speaker 1: we really need. And do you think therefore mainstream media 809 00:38:53,400 --> 00:38:56,680 Speaker 1: is to some extent has been a bit hobbled by 810 00:38:56,880 --> 00:39:00,600 Speaker 1: this process of people becoming really sophisticated into a delivering 811 00:39:00,600 --> 00:39:01,080 Speaker 1: their message. 812 00:39:01,160 --> 00:39:04,040 Speaker 2: Yeah, so much media training has gone into it. I 813 00:39:04,760 --> 00:39:07,840 Speaker 2: totally I agree. I think the messaging has become so 814 00:39:08,080 --> 00:39:11,319 Speaker 2: slick it's just hard to break in. And I think 815 00:39:11,360 --> 00:39:13,800 Speaker 2: people at home kind of see it and they go, okay, fine, 816 00:39:14,000 --> 00:39:16,600 Speaker 2: fair enough. The CEO of whatever company has said that thing, 817 00:39:16,719 --> 00:39:19,080 Speaker 2: And actually I think it's one of the things that 818 00:39:19,200 --> 00:39:22,080 Speaker 2: you do so well, when you go like you're a CEO, 819 00:39:22,160 --> 00:39:24,200 Speaker 2: you've run businesses for years, when you go on Today's 820 00:39:24,200 --> 00:39:26,800 Speaker 2: show or anything else, you're just you're speaking like a 821 00:39:26,880 --> 00:39:30,680 Speaker 2: human being. It's it's actually really it's actually pretty rare 822 00:39:30,760 --> 00:39:33,239 Speaker 2: mark like you know, as you just said, but like 823 00:39:34,080 --> 00:39:36,480 Speaker 2: you see all these people say we have had a 824 00:39:36,640 --> 00:39:39,480 Speaker 2: positive year, Yes, we have had and instead, you know, 825 00:39:39,600 --> 00:39:41,520 Speaker 2: you might say, yeah, it's been a crack up, it's 826 00:39:41,560 --> 00:39:44,080 Speaker 2: been really good, and people go, hah, what a normal guy. 827 00:39:44,160 --> 00:39:45,879 Speaker 1: Yeah, yeah, I understand what he's talking about. 828 00:39:45,960 --> 00:39:49,040 Speaker 2: Yeah, yeah, And I think there's I wonder, you know, 829 00:39:49,480 --> 00:39:51,920 Speaker 2: I wonder if there's a pendulum to be had here. 830 00:39:51,960 --> 00:39:54,520 Speaker 2: It swings really hard into the Polish world, and then 831 00:39:54,520 --> 00:39:57,440 Speaker 2: a couple of people break through and speak clearly and 832 00:39:57,560 --> 00:39:59,600 Speaker 2: in a way that is relating to people at home, 833 00:39:59,640 --> 00:40:01,800 Speaker 2: and then the pendulum maybe starts to swing back and 834 00:40:01,920 --> 00:40:03,880 Speaker 2: there's sort of a less need to be so polished 835 00:40:04,040 --> 00:40:06,520 Speaker 2: and precise, and that, you know, maybe it's not the 836 00:40:06,640 --> 00:40:08,480 Speaker 2: end of the world. Like obviously, as you say, if 837 00:40:08,520 --> 00:40:10,560 Speaker 2: you're a central banker, you've got to be careful. But 838 00:40:10,640 --> 00:40:13,040 Speaker 2: if you're the head of an organization, I mean, you know, 839 00:40:13,560 --> 00:40:15,279 Speaker 2: can you call it how it is in your own 840 00:40:15,320 --> 00:40:19,000 Speaker 2: mind to are people going to, you know, hate you terribly? 841 00:40:19,160 --> 00:40:20,320 Speaker 2: Is the share price going to collapse? 842 00:40:20,320 --> 00:40:22,560 Speaker 1: I don't know. Someone's going to have to have a crack. 843 00:40:22,840 --> 00:40:25,960 Speaker 1: Institutions who do an analysis on you might think that 844 00:40:26,320 --> 00:40:28,960 Speaker 1: you're being in appropriate, but I think the common person 845 00:40:29,200 --> 00:40:32,239 Speaker 1: likes it, and I think that's where that's what you've 846 00:40:32,360 --> 00:40:35,840 Speaker 1: sort of linked yourself into. Because social media, hopefully it 847 00:40:35,840 --> 00:40:40,799 Speaker 1: doesn't become really polished like mainstream media has. The more 848 00:40:40,800 --> 00:40:43,360 Speaker 1: people listening to social media or watch social media, and 849 00:40:43,440 --> 00:40:45,000 Speaker 1: they do it in these one or two minute bytes, 850 00:40:46,120 --> 00:40:48,480 Speaker 1: and we do it when we want. We don't want 851 00:40:48,520 --> 00:40:51,080 Speaker 1: to buy appointment. I mean, I think most of us. 852 00:40:52,080 --> 00:40:54,000 Speaker 1: I love the six pm news and as part of 853 00:40:54,080 --> 00:40:55,960 Speaker 1: my life I grew up whether blah blah blah, God 854 00:40:55,960 --> 00:40:58,359 Speaker 1: all that. But these days I'm really home at six 855 00:40:58,400 --> 00:41:02,160 Speaker 1: pm anyway, But I get all my media through social media, 856 00:41:02,960 --> 00:41:06,920 Speaker 1: everything everything. There's nothing on the news at night that 857 00:41:07,120 --> 00:41:10,200 Speaker 1: they're going to very rare anyway, that in terms of 858 00:41:10,280 --> 00:41:12,200 Speaker 1: main stories, which is why they have some silly little 859 00:41:12,200 --> 00:41:14,319 Speaker 1: stories at the end of these days. But the main 860 00:41:14,400 --> 00:41:17,000 Speaker 1: stories that I haven't already heard about probably nine o'clock 861 00:41:17,000 --> 00:41:19,160 Speaker 1: in the morning, and probably read five different versions of 862 00:41:20,560 --> 00:41:23,200 Speaker 1: And as a result of that, mainstream media has become 863 00:41:24,440 --> 00:41:26,279 Speaker 1: the greatest respect to you at the six pm News 864 00:41:26,800 --> 00:41:28,520 Speaker 1: A little bit have already been already heard all that, 865 00:41:29,560 --> 00:41:32,160 Speaker 1: and I might have actually seen you on social media 866 00:41:32,200 --> 00:41:34,000 Speaker 1: before I saw you in the six pm News. 867 00:41:34,239 --> 00:41:37,400 Speaker 2: Yeah, there's a bit of that, look, I think, you know. 868 00:41:37,760 --> 00:41:42,760 Speaker 2: And I will obviously defend the media organizations. 869 00:41:42,200 --> 00:41:42,800 Speaker 1: That I work for. 870 00:41:42,960 --> 00:41:45,640 Speaker 2: I think that there's a place for them, Yeah, of course, 871 00:41:45,719 --> 00:41:48,120 Speaker 2: and they are filled with people who are doing really 872 00:41:48,200 --> 00:41:50,800 Speaker 2: good work. And I think the important part is that 873 00:41:50,880 --> 00:41:54,719 Speaker 2: it's locally, professionally reported, like these are the people who 874 00:41:55,000 --> 00:41:57,640 Speaker 2: go and knock on the door of the local member 875 00:41:57,719 --> 00:41:59,840 Speaker 2: in New South Wales or in Victoria or in Wa. 876 00:42:00,840 --> 00:42:03,360 Speaker 2: So much of social media is global in its reaching, 877 00:42:03,400 --> 00:42:07,160 Speaker 2: global in its attempt. What you see from the major 878 00:42:07,239 --> 00:42:11,319 Speaker 2: media organizations here is that they are thinking here, they 879 00:42:11,400 --> 00:42:15,600 Speaker 2: want to talk to these people in this state. And 880 00:42:15,719 --> 00:42:17,759 Speaker 2: I think that that's important and I think we can't 881 00:42:17,800 --> 00:42:19,799 Speaker 2: shouldn't overlook that. It's one of things A lot about 882 00:42:19,840 --> 00:42:20,359 Speaker 2: regional news. 883 00:42:20,600 --> 00:42:24,080 Speaker 1: Yes, yeah, if you go up to Lismore or Byron 884 00:42:24,200 --> 00:42:26,000 Speaker 1: or that sort of you can turn on Chenel nine 885 00:42:26,000 --> 00:42:28,879 Speaker 1: and you find out what's going on actually in the area, 886 00:42:28,920 --> 00:42:31,080 Speaker 1: in the region, and they give you a little bit 887 00:42:31,120 --> 00:42:32,839 Speaker 1: of city maybe, but most of it's about what's going 888 00:42:32,880 --> 00:42:34,959 Speaker 1: on in the region, the same in Queensland. That's great, 889 00:42:36,000 --> 00:42:41,120 Speaker 1: but your social media environment is that Chris Cole, is 890 00:42:41,640 --> 00:42:44,120 Speaker 1: you own that yourself? Is that your own thing and 891 00:42:44,960 --> 00:42:47,120 Speaker 1: and your employee's okay with you to do that sort 892 00:42:47,120 --> 00:42:48,759 Speaker 1: of thing? Do you have to get it provenly? It 893 00:42:48,840 --> 00:42:51,400 Speaker 1: probably helps them. It's probably good for them that you'll 894 00:42:51,440 --> 00:42:53,840 Speaker 1: spend the time and effort money on doing this because 895 00:42:53,840 --> 00:42:56,960 Speaker 1: it actually elevates your profile and people turn into the news. Yeah. 896 00:42:57,000 --> 00:42:59,240 Speaker 2: Look, I think there's a kind of a there's obviously 897 00:42:59,280 --> 00:43:02,160 Speaker 2: an awareness of it. There's a consciousness there. There is 898 00:43:02,200 --> 00:43:06,000 Speaker 2: a sort of an implied and a sort of explicit 899 00:43:06,120 --> 00:43:10,480 Speaker 2: but unnecessary to say, you know, encouragement not to be 900 00:43:10,560 --> 00:43:13,680 Speaker 2: a complete idiot, not to defame anyone, not to break the. 901 00:43:13,760 --> 00:43:15,960 Speaker 1: Rules in any well you understand how that works anyway. 902 00:43:16,080 --> 00:43:19,759 Speaker 2: Yeah, but you're just you know, it's important I think 903 00:43:19,960 --> 00:43:24,360 Speaker 2: to apply those standards in whatever you do. But for 904 00:43:24,480 --> 00:43:28,920 Speaker 2: the most part, support and a sort of a willingness 905 00:43:28,960 --> 00:43:31,279 Speaker 2: to see how those experiments go, you know. 906 00:43:31,880 --> 00:43:35,279 Speaker 1: Yeah, Well, to some present it is. I mean if 907 00:43:35,280 --> 00:43:38,200 Speaker 1: I was not, I would be encouraging that for you 908 00:43:38,320 --> 00:43:40,120 Speaker 1: to do that on your own time, your own time, 909 00:43:40,680 --> 00:43:42,640 Speaker 1: But also I would be interested to see how it's going, 910 00:43:42,760 --> 00:43:45,799 Speaker 1: because I probably if I was running nine or involved nine, 911 00:43:45,800 --> 00:43:47,680 Speaker 1: I wouldn't have I would take the view that we 912 00:43:47,719 --> 00:43:49,760 Speaker 1: don't have the bandwidth to do that sort of stuff anyway. 913 00:43:50,680 --> 00:43:54,120 Speaker 1: But if you are successful at it, and maybe that's 914 00:43:54,160 --> 00:43:56,680 Speaker 1: something we should we as an organization. If I was 915 00:43:56,719 --> 00:43:59,279 Speaker 1: at night, we should actually start and encourage others to 916 00:43:59,320 --> 00:44:01,160 Speaker 1: do it, start to do the same sort of thing, 917 00:44:01,239 --> 00:44:05,840 Speaker 1: because over time, I would imagine mainstream and social mediums 918 00:44:06,160 --> 00:44:11,279 Speaker 1: they're going to have to combine over time, because like, 919 00:44:13,000 --> 00:44:16,239 Speaker 1: if you're a media company, you want all the media's, yeah, 920 00:44:16,680 --> 00:44:17,960 Speaker 1: you want all the medias. I think. 921 00:44:18,040 --> 00:44:19,920 Speaker 2: I think the thing that I hear a lot from 922 00:44:19,960 --> 00:44:22,759 Speaker 2: people is mainstream media versus new media. And I mean 923 00:44:22,800 --> 00:44:25,960 Speaker 2: the new media organizations have been around for twenty plus 924 00:44:26,160 --> 00:44:29,600 Speaker 2: years now in Australia. I mean, what's mainstream anymore? I mean, 925 00:44:29,640 --> 00:44:32,680 Speaker 2: if we're talking about the mainstream eyeball, if we're talking 926 00:44:32,719 --> 00:44:34,919 Speaker 2: about you know, how much time we're spending with things, 927 00:44:35,000 --> 00:44:39,080 Speaker 2: I mean, what is mainstream pic legacy media people call 928 00:44:39,200 --> 00:44:41,680 Speaker 2: new media. I mean, you are right that that mix 929 00:44:41,920 --> 00:44:44,239 Speaker 2: is happening. It's a big mixing pot of content. Now, 930 00:44:45,320 --> 00:44:48,280 Speaker 2: I feel very strongly about journalistic standards. 931 00:44:49,440 --> 00:44:51,600 Speaker 1: You know, you may not see that's important. That by 932 00:44:51,600 --> 00:44:53,680 Speaker 1: the way, that's very important. Yeah, I mean you may not. 933 00:44:54,840 --> 00:44:56,719 Speaker 2: People might be listening to this and go, I see 934 00:44:56,760 --> 00:45:02,480 Speaker 2: this guy on social media, one journalist extent, he's talking 935 00:45:02,520 --> 00:45:04,040 Speaker 2: to himself, and that's fair. 936 00:45:04,200 --> 00:45:07,040 Speaker 1: But but you're not lying, you're not defaming. Yeah, you're 937 00:45:07,120 --> 00:45:08,560 Speaker 1: not being erratic. 938 00:45:08,840 --> 00:45:11,080 Speaker 2: No, But and it comes from like I've obviously read 939 00:45:12,120 --> 00:45:14,759 Speaker 2: the information that I'm passing on. Like if I say 940 00:45:14,800 --> 00:45:16,680 Speaker 2: a number, it's a real number. I'm not pulling it 941 00:45:16,760 --> 00:45:21,520 Speaker 2: out of my backside or anything like that. So it's becoming, 942 00:45:21,920 --> 00:45:24,799 Speaker 2: I suppose a little bit mistier to sort of see 943 00:45:25,040 --> 00:45:28,160 Speaker 2: in this big mix mixing pot of content, what's real, 944 00:45:28,280 --> 00:45:32,320 Speaker 2: what's been generated, who this person is, who they work for, 945 00:45:32,440 --> 00:45:35,239 Speaker 2: where the money is coming from, all these sorts of things. 946 00:45:36,000 --> 00:45:39,439 Speaker 2: You know, I think we are kind of where it's 947 00:45:39,480 --> 00:45:41,799 Speaker 2: all happening in real time. We're figuring this out live. 948 00:45:42,440 --> 00:45:45,040 Speaker 1: You know, where do you think, of course, I mean, 949 00:45:45,080 --> 00:45:49,040 Speaker 1: where do you think you're what you're doing in terms 950 00:45:49,080 --> 00:45:51,279 Speaker 1: of social media is going to end up. Is there 951 00:45:51,280 --> 00:45:53,880 Speaker 1: anything that you see that's exciting about it? Like your 952 00:45:53,960 --> 00:45:59,600 Speaker 1: numbers increasing? Are you getting great feedback, fantastic engagement? Is 953 00:45:59,640 --> 00:46:03,520 Speaker 1: it being shared overseas people sort of saying to you, mate, 954 00:46:03,560 --> 00:46:05,600 Speaker 1: you're really touched on something very important there that we 955 00:46:05,680 --> 00:46:08,120 Speaker 1: don't get from watching the news at night or something 956 00:46:08,120 --> 00:46:11,840 Speaker 1: along with because the news that at nights just little packages. 957 00:46:12,239 --> 00:46:16,280 Speaker 1: That that's the model, same as radios, little packages adds, 958 00:46:16,360 --> 00:46:19,080 Speaker 1: little packages ads. That's that's the business model that which 959 00:46:19,120 --> 00:46:22,080 Speaker 1: is fine? What are you seeing? What do you what 960 00:46:22,160 --> 00:46:24,200 Speaker 1: do you feel for the future. I am excited. 961 00:46:24,280 --> 00:46:26,800 Speaker 2: I'm excited about the prospect of being able to be 962 00:46:27,200 --> 00:46:30,040 Speaker 2: different things for different parts of the audience. You know, 963 00:46:30,080 --> 00:46:31,879 Speaker 2: if you want to see me on the news, you're 964 00:46:31,920 --> 00:46:34,640 Speaker 2: going to see me covering a story in my capacity 965 00:46:34,719 --> 00:46:37,200 Speaker 2: as a journalist in that way, in that I'm going 966 00:46:37,280 --> 00:46:38,960 Speaker 2: to get the experts, You're going to hear from them. 967 00:46:39,320 --> 00:46:40,799 Speaker 2: You're going to be able to see the data. I'll 968 00:46:40,800 --> 00:46:42,160 Speaker 2: tell you where the datas come from and all this 969 00:46:42,200 --> 00:46:43,000 Speaker 2: sort of stuff. 970 00:46:42,719 --> 00:46:48,919 Speaker 1: And run by various industry standards, lealed internally, responsibly done. 971 00:46:49,560 --> 00:46:50,440 Speaker 1: Then that's right. 972 00:46:50,480 --> 00:46:52,200 Speaker 2: If you want to see me on social media have 973 00:46:52,280 --> 00:46:55,320 Speaker 2: a bit of a laugh about the situation, a serious situation. 974 00:46:55,800 --> 00:46:58,319 Speaker 2: Then I'm I'm that's what I really like doing too, 975 00:46:58,600 --> 00:47:00,600 Speaker 2: you know, I don't want to be like think about 976 00:47:00,640 --> 00:47:02,759 Speaker 2: the finance and the economy over the last few years. 977 00:47:02,800 --> 00:47:04,879 Speaker 1: Is that it has been a heavy duty. Oh my god. 978 00:47:05,360 --> 00:47:08,200 Speaker 2: You know, it's just like I get up and I 979 00:47:08,280 --> 00:47:10,359 Speaker 2: do this story. I mean, I walked into I live 980 00:47:10,400 --> 00:47:12,120 Speaker 2: in Melbourne. I go into the Melbourne news room, I 981 00:47:12,200 --> 00:47:14,480 Speaker 2: come into the Sydney you want to do the RBA stories, 982 00:47:14,520 --> 00:47:17,120 Speaker 2: into kind of other stories here and there. It was 983 00:47:17,160 --> 00:47:18,400 Speaker 2: a while there where I was coming in and they 984 00:47:18,440 --> 00:47:22,879 Speaker 2: got other grim reapers here because all the bad news. Bear, 985 00:47:22,960 --> 00:47:24,959 Speaker 2: I've got all of the I got. You know, rates 986 00:47:25,000 --> 00:47:27,600 Speaker 2: are going up, you know, the unemployment rates not doing. 987 00:47:27,640 --> 00:47:29,520 Speaker 1: It's supposed she's out of control. Cost of them has 988 00:47:29,560 --> 00:47:30,440 Speaker 1: got mental that's. 989 00:47:30,360 --> 00:47:33,879 Speaker 2: Right, you know, all the property market, particularly around COVID, 990 00:47:33,920 --> 00:47:36,759 Speaker 2: all this sort of stuff like and so I think 991 00:47:37,400 --> 00:47:39,920 Speaker 2: it's certainly been my experience, and I think I'm not 992 00:47:39,960 --> 00:47:42,160 Speaker 2: alone in this. You know, you've got to laugh about 993 00:47:42,200 --> 00:47:45,879 Speaker 2: it sometimes, you know, it's it's so bad all the time, 994 00:47:46,040 --> 00:47:47,840 Speaker 2: you just kind of have to go right we're in 995 00:47:47,880 --> 00:47:49,960 Speaker 2: two point four trillion dollars worth of mortgage? 996 00:47:50,000 --> 00:47:50,560 Speaker 1: Did everybody? 997 00:47:50,960 --> 00:47:52,960 Speaker 2: Should we have a gag about it? Should we just 998 00:47:53,040 --> 00:47:55,200 Speaker 2: sort of like try to try to have a bit 999 00:47:55,239 --> 00:47:56,440 Speaker 2: of a laugh here, So. 1000 00:47:56,840 --> 00:47:59,399 Speaker 1: Just some people know, is it Chris, it's Chris Colin 1001 00:47:59,520 --> 00:48:03,120 Speaker 1: obviously khl e R. It's Chris Colin News, Chris Colin News. 1002 00:48:03,440 --> 00:48:07,359 Speaker 1: That's your scampaige and it's also your YouTube channel as well. 1003 00:48:07,760 --> 00:48:11,000 Speaker 1: And you have written a book that says how they 1004 00:48:11,080 --> 00:48:13,840 Speaker 1: get you Sneaky every Day Economics and Smart Ways to 1005 00:48:13,880 --> 00:48:17,799 Speaker 1: Hold onto Your Money by Chris Cohler and the Batuta Boys, 1006 00:48:17,840 --> 00:48:20,960 Speaker 1: which I love, said brutally, hon It's perfectly humorous, and 1007 00:48:21,280 --> 00:48:23,640 Speaker 1: it's sort of interesting that the Bertuita put a little 1008 00:48:23,800 --> 00:48:28,800 Speaker 1: review there kind of them. Yeah, and Alan Fel's previously 1009 00:48:29,160 --> 00:48:32,719 Speaker 1: the ah trible c head commissioner in Sighthling and highly 1010 00:48:32,840 --> 00:48:35,279 Speaker 1: music good man Alane. I like Alan Fills. Yeah, he's 1011 00:48:35,320 --> 00:48:36,880 Speaker 1: one of the good guys. Yeah, he really is one 1012 00:48:36,920 --> 00:48:38,759 Speaker 1: of the good guys. He's incredibly switched on. What's his 1013 00:48:38,840 --> 00:48:41,320 Speaker 1: book about, mate, Look for those. 1014 00:48:41,200 --> 00:48:43,719 Speaker 2: People who like the videos and sort of go okay, 1015 00:48:43,760 --> 00:48:45,480 Speaker 2: that one was about supermarkets. I like that that one 1016 00:48:45,560 --> 00:48:47,800 Speaker 2: was about insurance. That was interesting that one was about banking. 1017 00:48:49,000 --> 00:48:51,759 Speaker 2: It dawned on me that these videos are just to 1018 00:48:51,920 --> 00:48:54,719 Speaker 2: adore into a much bigger room where there's a lot 1019 00:48:54,800 --> 00:48:57,040 Speaker 2: more going on, and so I wrote the book. Each 1020 00:48:57,160 --> 00:49:01,319 Speaker 2: chapter covers a different thing, basically, thank you, whether it's superannuation, 1021 00:49:01,640 --> 00:49:07,760 Speaker 2: whether it's mortgages, auctions, Black Friday, micro transactions and gaming. 1022 00:49:08,080 --> 00:49:11,240 Speaker 2: I mean there's a gambling different chapters between four different chapters. 1023 00:49:11,480 --> 00:49:15,240 Speaker 1: Well, a chapter one of these is about is called subscriptions. 1024 00:49:15,280 --> 00:49:18,040 Speaker 1: I mean, you're basically warning us about being oversubscribed. 1025 00:49:18,080 --> 00:49:20,759 Speaker 2: Well, I just I'm commenting on the scale which it's 1026 00:49:21,560 --> 00:49:25,000 Speaker 2: effectively taken over. Do you think it relatively new? And 1027 00:49:25,080 --> 00:49:28,680 Speaker 2: I mean it's it showed itself kind of around the 1028 00:49:28,760 --> 00:49:30,759 Speaker 2: late nineties early two thousands. I mean, to be honest, 1029 00:49:30,800 --> 00:49:36,040 Speaker 2: that's what Netflix killed Blockbuster with. And now it's everywhere. 1030 00:49:36,239 --> 00:49:38,560 Speaker 2: Everything is a subscription, and I think the problem for 1031 00:49:38,680 --> 00:49:41,200 Speaker 2: people trying to keep it control of their household budget 1032 00:49:41,400 --> 00:49:43,000 Speaker 2: is that it's very hard to tell what I'm getting 1033 00:49:43,000 --> 00:49:45,239 Speaker 2: built for every bloody month and what I need to 1034 00:49:45,239 --> 00:49:49,600 Speaker 2: go to the supermarket or elsewhere for. It's becoming quite hard. 1035 00:49:49,840 --> 00:49:51,719 Speaker 1: I reckon, And you got food delivery. Do you mean 1036 00:49:51,800 --> 00:49:54,759 Speaker 1: like uberreats as an Uber riots. Yeah, that topous. I 1037 00:49:54,800 --> 00:49:56,560 Speaker 1: don't go to the restaurant anymore. I don't cook it either, 1038 00:49:56,640 --> 00:49:59,800 Speaker 1: I just I call it in. Yeah. I loved writing 1039 00:49:59,840 --> 00:50:00,319 Speaker 1: that chapter. 1040 00:50:00,440 --> 00:50:03,680 Speaker 2: That was one of my favorites to write, because I 1041 00:50:03,840 --> 00:50:08,160 Speaker 2: see those e bikes everywhere. Yeah, people are ordering stuff 1042 00:50:08,160 --> 00:50:10,680 Speaker 2: all the time. And I looked it up to get 1043 00:50:10,719 --> 00:50:12,840 Speaker 2: a burrito from my local Mexican joint, which I, like, 1044 00:50:13,120 --> 00:50:16,160 Speaker 2: you know, was X amount to get it delivered from Uber. 1045 00:50:16,200 --> 00:50:17,200 Speaker 1: Each is why I'm out. 1046 00:50:17,160 --> 00:50:19,840 Speaker 2: The difference is forty five percent more expensive. 1047 00:50:20,400 --> 00:50:22,920 Speaker 1: Wow. Really? Yeah, I mean and it makes sense I'm 1048 00:50:22,960 --> 00:50:25,919 Speaker 1: ordering a taxi for my dinner. Yeah, that's the truth. 1049 00:50:26,040 --> 00:50:29,120 Speaker 2: But yeah, but it's sort of it's convenience economy. 1050 00:50:29,200 --> 00:50:30,000 Speaker 1: We know how that works. 1051 00:50:30,040 --> 00:50:32,879 Speaker 2: We know there's a cost associated with it, but it's 1052 00:50:33,040 --> 00:50:35,520 Speaker 2: Jesus a lot of money. And the businesses themselves, the 1053 00:50:35,600 --> 00:50:39,319 Speaker 2: small businesses, the restaurants, they're not particularly big fans of it, and. 1054 00:50:39,320 --> 00:50:40,799 Speaker 1: They don't make much money out of it. And you've 1055 00:50:40,800 --> 00:50:46,280 Speaker 1: got to hear loyalty programs in chapter four. It's very interesting. 1056 00:50:47,960 --> 00:50:52,680 Speaker 1: I think we've become a little bit more reserved about 1057 00:50:52,719 --> 00:50:56,440 Speaker 1: loyalty programs to the extent that they're valuable, but lordy programs. 1058 00:50:56,440 --> 00:51:02,880 Speaker 1: And as I look through the whole list here, Black Friday, data, auctions, 1059 00:51:02,960 --> 00:51:07,360 Speaker 1: the process of auctions, insurance by buying our pay later BMPL. 1060 00:51:08,880 --> 00:51:11,560 Speaker 1: How much of these many? How much of this? All 1061 00:51:11,640 --> 00:51:14,680 Speaker 1: your chapters? Do they reflect changes in society? I think 1062 00:51:14,719 --> 00:51:15,080 Speaker 1: they all do. 1063 00:51:15,600 --> 00:51:17,440 Speaker 2: I think that was the That was the intent of 1064 00:51:17,520 --> 00:51:21,360 Speaker 2: the book to say, you might be aware of subscriptions, 1065 00:51:21,400 --> 00:51:23,880 Speaker 2: and we are all aware of loyalty programs, but the 1066 00:51:24,040 --> 00:51:26,720 Speaker 2: rate of change I think makes it worth talking about. 1067 00:51:26,880 --> 00:51:31,320 Speaker 2: Now you know what we knew in twenty nineteen. You know, 1068 00:51:31,719 --> 00:51:32,520 Speaker 2: everything's changed. 1069 00:51:32,600 --> 00:51:36,239 Speaker 1: So this is really to some standard social commentary. I 1070 00:51:36,320 --> 00:51:39,839 Speaker 1: think so. And by the way, what's very interesting about 1071 00:51:39,840 --> 00:51:43,040 Speaker 1: that is, I know you've got a cartoon right the front. Okay, 1072 00:51:43,200 --> 00:51:46,880 Speaker 1: so the New Heart subscription was a success? Sorry the 1073 00:51:47,000 --> 00:51:52,680 Speaker 1: what so subscribing to make sure because I actually, you know, 1074 00:51:53,080 --> 00:51:55,160 Speaker 1: I'm black in our Black Mirror the series Black Mirror, Yes, 1075 00:51:55,440 --> 00:51:58,520 Speaker 1: I saw one of the episodes was actually about something 1076 00:51:58,640 --> 00:52:01,719 Speaker 1: like that someone got an implant and there was a 1077 00:52:01,800 --> 00:52:04,400 Speaker 1: subscription process to get this implant. I can't remember what 1078 00:52:04,440 --> 00:52:06,680 Speaker 1: it was now, what it was, I was subscribing to it. 1079 00:52:06,880 --> 00:52:10,720 Speaker 1: But the subscription. They kept getting talked into doing an increase. 1080 00:52:12,000 --> 00:52:14,640 Speaker 1: But if you want this to happen, you have to 1081 00:52:14,680 --> 00:52:16,320 Speaker 1: pay more. It's gone from ten bucks a month to 1082 00:52:16,360 --> 00:52:18,480 Speaker 1: twenty bucks a month, but at the right at the end, 1083 00:52:18,560 --> 00:52:20,320 Speaker 1: you get to a point where you can't afford it anymore. 1084 00:52:20,800 --> 00:52:24,520 Speaker 1: And that's that in itself. I mean that that episode 1085 00:52:24,520 --> 00:52:26,480 Speaker 1: of Black Mirage that made me think about technology. But 1086 00:52:27,239 --> 00:52:30,360 Speaker 1: the technology, because all these chapters, while they are reflections 1087 00:52:30,440 --> 00:52:32,759 Speaker 1: on social changes, they're all technology driven. 1088 00:52:32,880 --> 00:52:34,520 Speaker 2: They are, and I think every one of them. That's 1089 00:52:34,560 --> 00:52:37,440 Speaker 2: really important. And I think particularly in subscriptions, but really 1090 00:52:37,480 --> 00:52:40,080 Speaker 2: in everything, industries test the boundaries and then they pull 1091 00:52:40,120 --> 00:52:41,719 Speaker 2: back if they go too far, and they test it again. 1092 00:52:42,040 --> 00:52:44,960 Speaker 2: You know, we're all buying electric vehicles now, but some 1093 00:52:45,080 --> 00:52:48,040 Speaker 2: of the biggest electric vehicle electric some of the biggest 1094 00:52:48,080 --> 00:52:49,799 Speaker 2: car makers in the world will sell you a car 1095 00:52:50,320 --> 00:52:52,520 Speaker 2: and then for a subscription, the car will go a 1096 00:52:52,560 --> 00:52:56,000 Speaker 2: little bit faster. I mean, that's revolutionary in the car 1097 00:52:56,120 --> 00:52:58,200 Speaker 2: business and a way to make somebody make it not 1098 00:52:58,280 --> 00:53:01,200 Speaker 2: a one off transaction but a subscription. I mean that's 1099 00:53:01,280 --> 00:53:04,880 Speaker 2: kind of mind blowing, really, and people get cross but 1100 00:53:05,000 --> 00:53:06,640 Speaker 2: they kind of pay it anyway, and all of a 1101 00:53:06,640 --> 00:53:09,279 Speaker 2: sudden it becomes industry standard. I mean, these is how 1102 00:53:09,360 --> 00:53:11,480 Speaker 2: those changes are made, and they're all happening now. I 1103 00:53:11,600 --> 00:53:13,920 Speaker 2: see this as a big moment for those sorts of changes. 1104 00:53:14,239 --> 00:53:18,520 Speaker 1: It's interesting because you know in business or business modeling 1105 00:53:18,960 --> 00:53:24,000 Speaker 1: or or business modeling in terms of valuation modeling, someone 1106 00:53:24,040 --> 00:53:28,240 Speaker 1: who receives a vendor who receives subscriptions from a consumer 1107 00:53:29,120 --> 00:53:31,200 Speaker 1: gets quite a big valuation because the money comes in 1108 00:53:31,239 --> 00:53:33,680 Speaker 1: every month and value is like to see that stuff 1109 00:53:33,960 --> 00:53:35,600 Speaker 1: in terms of looking at the value of the business. 1110 00:53:36,600 --> 00:53:41,279 Speaker 1: And what's happened is the marketplace has worked out wherever 1111 00:53:41,360 --> 00:53:43,000 Speaker 1: we can get a subscription, we should try to get 1112 00:53:43,000 --> 00:53:45,640 Speaker 1: a subscription because it's actually a much bigger value add 1113 00:53:46,080 --> 00:53:48,319 Speaker 1: to the total bottom line value of their business. I'm 1114 00:53:48,320 --> 00:53:51,799 Speaker 1: not necessarily saying profits, but just how people look at 1115 00:53:51,840 --> 00:53:54,759 Speaker 1: the value of these businesses. You know, because it's sort 1116 00:53:54,800 --> 00:53:57,880 Speaker 1: of safer, it's chunkier, you're not relying on one or 1117 00:53:58,000 --> 00:54:00,960 Speaker 1: ten advertisers for example, to how you an advertising fee 1118 00:54:01,000 --> 00:54:03,359 Speaker 1: which gets change every year. People go broke, things happen, 1119 00:54:03,440 --> 00:54:08,879 Speaker 1: everything changes, Subscriptions, little bits that no one notices you're 1120 00:54:08,920 --> 00:54:10,640 Speaker 1: paying it. It's not as big a deal for you 1121 00:54:10,719 --> 00:54:13,120 Speaker 1: to pay twenty bucks a month, and just picking on 1122 00:54:13,160 --> 00:54:17,640 Speaker 1: that one particular chapter, the fact that it's an amazing 1123 00:54:17,840 --> 00:54:22,560 Speaker 1: reflection on how technology has now shaping our society and 1124 00:54:23,520 --> 00:54:28,360 Speaker 1: how we all of us are big parts in that. 1125 00:54:28,800 --> 00:54:31,120 Speaker 1: In that we all all we do is we fall 1126 00:54:31,200 --> 00:54:33,880 Speaker 1: into line. We buy the electric car, we pay the subscription, 1127 00:54:34,080 --> 00:54:38,480 Speaker 1: we go to Netflix to pay the subscription, We entered 1128 00:54:38,520 --> 00:54:40,560 Speaker 1: the loyalty programs. Of course, you know, I spent a 1129 00:54:40,600 --> 00:54:42,279 Speaker 1: lot of money these days on my credit card, because 1130 00:54:42,320 --> 00:54:43,880 Speaker 1: everything I spend is on my credit card, because a 1131 00:54:43,920 --> 00:54:45,600 Speaker 1: cash anymore, So I'm going to use my credit card everything. 1132 00:54:45,600 --> 00:54:47,320 Speaker 1: So I'm going to use my credit card everything. I 1133 00:54:47,400 --> 00:54:50,799 Speaker 1: might as well, you know, get free flights or whatever 1134 00:54:50,840 --> 00:54:53,640 Speaker 1: it is yet points and then work out how to 1135 00:54:54,040 --> 00:54:57,520 Speaker 1: sell those points or sorry, commercialize those points in my favor. 1136 00:54:58,000 --> 00:55:01,440 Speaker 1: And we all get caught up in this scheme. And 1137 00:55:01,760 --> 00:55:05,200 Speaker 1: I don't think it's an evil thing. But it's interesting 1138 00:55:05,280 --> 00:55:07,440 Speaker 1: that your book and each of the chapters in your 1139 00:55:07,480 --> 00:55:09,320 Speaker 1: book is actually sort of a commentary and all that, 1140 00:55:09,719 --> 00:55:11,800 Speaker 1: and it's actually sort of brings it to life a 1141 00:55:11,840 --> 00:55:15,120 Speaker 1: little bit, makes us think about it. It was that 1142 00:55:15,239 --> 00:55:18,320 Speaker 1: your objective, it was yeh think about this stuff saying that. 1143 00:55:18,440 --> 00:55:21,160 Speaker 2: I mean, that's that was certainly the objective is that 1144 00:55:21,239 --> 00:55:24,320 Speaker 2: it's so easy to carry on and not notice the 1145 00:55:24,440 --> 00:55:27,839 Speaker 2: change over time, because you know it's nobody comes out 1146 00:55:27,920 --> 00:55:30,320 Speaker 2: and says, hey, by the way, you know, the loyalty 1147 00:55:30,360 --> 00:55:34,040 Speaker 2: points actually aren't that good of a deal, and you know, maybe. 1148 00:55:33,840 --> 00:55:35,319 Speaker 1: This I've got your hooked. I got your hooked. 1149 00:55:35,440 --> 00:55:38,360 Speaker 2: And like subscriptions, everybody kind of thinks about the positive 1150 00:55:38,360 --> 00:55:40,440 Speaker 2: because the positive is presented to us. You know, you 1151 00:55:40,480 --> 00:55:42,040 Speaker 2: don't have to worry about We're just going to send 1152 00:55:42,080 --> 00:55:44,200 Speaker 2: you this thing every month. Forget your choice, whype it 1153 00:55:44,239 --> 00:55:47,319 Speaker 2: off your to do list. We sorted you. Of course, 1154 00:55:47,360 --> 00:55:49,360 Speaker 2: as a consumer, that's not a good thing. You should 1155 00:55:49,400 --> 00:55:52,120 Speaker 2: be active. You know, if I'm buying nappies, I'm at 1156 00:55:52,160 --> 00:55:54,759 Speaker 2: the supermarket and I'm you know, this is fresh because 1157 00:55:54,760 --> 00:55:57,959 Speaker 2: I got little kids, but I'm making a decision based 1158 00:55:58,040 --> 00:56:01,799 Speaker 2: on what I perceived to be quality, value price. If 1159 00:56:01,880 --> 00:56:04,240 Speaker 2: I do that over a subscription, I'm making that assessment 1160 00:56:04,360 --> 00:56:07,759 Speaker 2: once for the months and months ahead. And that's not 1161 00:56:07,840 --> 00:56:09,640 Speaker 2: the way I'm supposed to operate. I'm supposed to go 1162 00:56:09,719 --> 00:56:12,239 Speaker 2: into the supermarket and go you know what, last time 1163 00:56:12,360 --> 00:56:14,480 Speaker 2: they weren't very good actually, and I'm going to try 1164 00:56:14,520 --> 00:56:17,080 Speaker 2: this new one that I just see pop up. And 1165 00:56:17,160 --> 00:56:19,040 Speaker 2: this is how we're supposed to be as consumers. It's 1166 00:56:19,080 --> 00:56:21,040 Speaker 2: more pain. It's a pain, you know to do it. 1167 00:56:21,320 --> 00:56:22,920 Speaker 1: Do you think the reason but sorry, Chris, do you 1168 00:56:22,960 --> 00:56:25,520 Speaker 1: think there is for that? Though? Is just on subscriptions 1169 00:56:25,560 --> 00:56:28,000 Speaker 1: for example. And the reason for that and all of 1170 00:56:28,040 --> 00:56:31,120 Speaker 1: these things is because we are too. We are much 1171 00:56:31,200 --> 00:56:33,920 Speaker 1: busier today because we keep talking about productivity, right, and 1172 00:56:34,080 --> 00:56:35,719 Speaker 1: I've actually got a bit of a bugbear about this. 1173 00:56:36,480 --> 00:56:41,040 Speaker 1: I think we are as individuals much more productive as 1174 00:56:41,120 --> 00:56:43,880 Speaker 1: a person than we ever have been. But we are 1175 00:56:44,040 --> 00:56:46,680 Speaker 1: more productive for the economy. And what I mean by 1176 00:56:46,719 --> 00:56:50,000 Speaker 1: that is we every individual is spending much more time 1177 00:56:50,800 --> 00:56:53,279 Speaker 1: doing new things, learning new things. Mate, you might have 1178 00:56:53,320 --> 00:56:58,000 Speaker 1: a side hustle, you're maybe using AI to learn language, 1179 00:56:58,320 --> 00:57:01,840 Speaker 1: you might be what more television so you could. I 1180 00:57:01,920 --> 00:57:04,560 Speaker 1: mean it's not doing anything for the economy, but it's 1181 00:57:04,640 --> 00:57:06,400 Speaker 1: much more productive in terms of your time. You are 1182 00:57:06,480 --> 00:57:09,880 Speaker 1: spending every minute of your time doing something. Whereas before 1183 00:57:10,239 --> 00:57:12,560 Speaker 1: we've got to have a five point thirty, we turn 1184 00:57:12,640 --> 00:57:15,040 Speaker 1: the two what's the six pm news call? You? No 1185 00:57:15,120 --> 00:57:18,280 Speaker 1: one called me or messaged you. Nothing happened, and I 1186 00:57:18,440 --> 00:57:21,320 Speaker 1: talked to my family and I was productive in terms 1187 00:57:21,360 --> 00:57:25,880 Speaker 1: of cultivating relationships with my family. I might have a beer, 1188 00:57:26,000 --> 00:57:28,320 Speaker 1: I might and I bed morning. I probably didn't gether 1189 00:57:28,360 --> 00:57:29,920 Speaker 1: the gym because I've got no pressure socially to go 1190 00:57:29,920 --> 00:57:32,160 Speaker 1: to the gym. I got up and I just wanted 1191 00:57:32,280 --> 00:57:34,480 Speaker 1: to work. And then Sat Day Sunday, I did nothing. 1192 00:57:34,520 --> 00:57:36,320 Speaker 1: I went to the footy and just sort of enjoy thement. 1193 00:57:36,320 --> 00:57:38,040 Speaker 1: I played golf with the case maybe watching my kids 1194 00:57:38,080 --> 00:57:43,320 Speaker 1: play footy today. I actually I am trouble with the 1195 00:57:43,360 --> 00:57:46,360 Speaker 1: fact that people say our productivity is love. I think 1196 00:57:46,440 --> 00:57:52,120 Speaker 1: our productivity analysis, at least in this country anyway, is 1197 00:57:52,240 --> 00:57:56,840 Speaker 1: not correct because it's not including everything we do and 1198 00:57:59,040 --> 00:58:04,160 Speaker 1: businesses business has worked that out about us and therefore 1199 00:58:04,560 --> 00:58:07,240 Speaker 1: keeps us more busy, more busy. So we are more 1200 00:58:07,280 --> 00:58:09,200 Speaker 1: busy now than we've ever been our whole life. Look 1201 00:58:09,200 --> 00:58:11,680 Speaker 1: at you. You work to night, then you're writing books 1202 00:58:11,920 --> 00:58:14,400 Speaker 1: and you're doing your skits, and then you've got to 1203 00:58:14,440 --> 00:58:15,880 Speaker 1: post them on Youtube've got to edit them, you've got 1204 00:58:15,920 --> 00:58:17,160 Speaker 1: to put it. You know, you've got to think about it. 1205 00:58:17,840 --> 00:58:19,960 Speaker 1: You're probably more busy than you've ever been before. It 1206 00:58:20,000 --> 00:58:22,640 Speaker 1: doesn't mean you're any more money. We're not any more money, 1207 00:58:23,160 --> 00:58:25,640 Speaker 1: but we're more busy. A lot of times we're doing 1208 00:58:25,680 --> 00:58:27,760 Speaker 1: a lot of these. And then it's probably and of 1209 00:58:27,840 --> 00:58:30,160 Speaker 1: course you would be reading stuff, and AI will be 1210 00:58:30,240 --> 00:58:32,560 Speaker 1: making you check stuff, and you might have a thought 1211 00:58:32,600 --> 00:58:34,800 Speaker 1: and you might pump it into copilot, and we're into 1212 00:58:35,320 --> 00:58:37,440 Speaker 1: anthropic wherever it is, and or put them in both 1213 00:58:37,520 --> 00:58:39,000 Speaker 1: like I do to check where they'd give me the 1214 00:58:39,040 --> 00:58:43,560 Speaker 1: same answer. And then you start playing with your other topics, 1215 00:58:43,640 --> 00:58:45,360 Speaker 1: like the Reserve Bank, et cetera. But you might be 1216 00:58:45,400 --> 00:58:47,360 Speaker 1: doing completely the other topic, something completely nothing to do 1217 00:58:47,440 --> 00:58:49,800 Speaker 1: with anything. Do you think that you are more productive? 1218 00:58:49,840 --> 00:58:51,520 Speaker 1: And we do you think we are more productive? In 1219 00:58:51,600 --> 00:58:53,880 Speaker 1: other words, we are producing more outcomes. Its not necessarily 1220 00:58:54,040 --> 00:58:57,520 Speaker 1: economically able to be economically measured, but do you think 1221 00:58:57,520 --> 00:59:00,520 Speaker 1: we are as a society we are more productive? Particularly generation? 1222 00:59:01,040 --> 00:59:02,680 Speaker 2: It's really nice to you talk about that, because I've 1223 00:59:02,720 --> 00:59:06,240 Speaker 2: aimed sorts of questions. We're really not as productive. Where 1224 00:59:06,320 --> 00:59:08,600 Speaker 2: is this productivity issue coming from? You know, all this 1225 00:59:08,680 --> 00:59:10,440 Speaker 2: sort of stuff, and so it's kind of nice to 1226 00:59:10,520 --> 00:59:13,280 Speaker 2: you talk about that. Look, I'm certainly doing more. I 1227 00:59:13,320 --> 00:59:16,120 Speaker 2: look around and I see everybody else is pretty busy too. 1228 00:59:16,320 --> 00:59:17,000 Speaker 1: Everyone's busy. 1229 00:59:17,200 --> 00:59:19,360 Speaker 2: Yeah, and I think adding to that, of course, when 1230 00:59:19,400 --> 00:59:20,960 Speaker 2: it comes to being a consumer and how busy we 1231 00:59:21,040 --> 00:59:22,720 Speaker 2: are and whether or not we want something to be 1232 00:59:22,800 --> 00:59:24,640 Speaker 2: taken off our plate. My god, yeah, sure, sort out 1233 00:59:24,640 --> 00:59:28,200 Speaker 2: the nappies whatever. I think we are marketed to very 1234 00:59:28,280 --> 00:59:31,680 Speaker 2: expertly as well, on social media and off. I think 1235 00:59:31,720 --> 00:59:34,440 Speaker 2: it's become such a great and you've got to take 1236 00:59:34,480 --> 00:59:35,920 Speaker 2: your hat off to the people in that sector. They 1237 00:59:35,960 --> 00:59:38,800 Speaker 2: do just an incredible job of making you want to 1238 00:59:38,880 --> 00:59:41,120 Speaker 2: do something, making you want. 1239 00:59:41,040 --> 00:59:42,760 Speaker 1: To buy that product. Well, they know what you want. Yeah, 1240 00:59:43,280 --> 00:59:45,240 Speaker 1: they know that because they've got the datata, They've got 1241 00:59:45,240 --> 00:59:45,560 Speaker 1: the data. 1242 00:59:45,560 --> 00:59:48,120 Speaker 2: And this is and if you read the chapters on 1243 00:59:48,680 --> 00:59:50,840 Speaker 2: things like loyalty programs, you know, you see that My 1244 00:59:51,200 --> 00:59:54,480 Speaker 2: case is effectively that these are data generating machines. They're 1245 00:59:54,520 --> 00:59:56,480 Speaker 2: not points. We're not we're not trading in points. We're 1246 00:59:56,480 --> 00:59:59,760 Speaker 2: trading in data and that's extremely valuable. And the exchange 1247 00:59:59,800 --> 01:00:02,080 Speaker 2: rate for points to our data is way out of kilter. 1248 01:00:02,280 --> 01:00:04,760 Speaker 1: Yeah, we're not getting we're not getting proper value because 1249 01:00:04,760 --> 01:00:08,720 Speaker 1: we're not really thinking about it. Yeah, because we we're 1250 01:00:08,800 --> 01:00:11,120 Speaker 1: nearly I know this is getting a bit spooky. But 1251 01:00:11,720 --> 01:00:17,280 Speaker 1: are we in a simulation like that? Yes, because we're 1252 01:00:17,280 --> 01:00:21,600 Speaker 1: all subscribing, we're all netflixing, we're all buying reads. We're 1253 01:00:21,600 --> 01:00:25,600 Speaker 1: all not doing everything and like you're talking about, they're 1254 01:00:25,640 --> 01:00:27,480 Speaker 1: all running around trying to do a side hustles. We're 1255 01:00:27,480 --> 01:00:31,440 Speaker 1: all working in a mainstream job, we're all getting a mortgage, 1256 01:00:31,520 --> 01:00:35,160 Speaker 1: We're all doing everything the same as everybody else. That's 1257 01:00:35,200 --> 01:00:37,200 Speaker 1: why books like this are great, mate, because it actually 1258 01:00:37,240 --> 01:00:38,960 Speaker 1: makes us think. You've made me think. I mean, I'm 1259 01:00:39,320 --> 01:00:41,320 Speaker 1: here talking to you about it, but you made me think. 1260 01:00:41,320 --> 01:00:43,360 Speaker 1: We're definitely I don't think we're in a simulation, but 1261 01:00:43,600 --> 01:00:44,480 Speaker 1: it's quite possible. 1262 01:00:44,560 --> 01:00:46,800 Speaker 2: That's nice because if the shoes on the other foot 1263 01:00:46,800 --> 01:00:48,520 Speaker 2: for once, that's great. Because the amount of times you've 1264 01:00:48,560 --> 01:00:50,520 Speaker 2: made me think and I've interviewed you and come off 1265 01:00:50,560 --> 01:00:50,920 Speaker 2: better for. 1266 01:00:51,000 --> 01:00:54,040 Speaker 1: It now I mind. But I do believe that's because 1267 01:00:54,040 --> 01:00:56,800 Speaker 1: and I think it takes. That's why I love talking 1268 01:00:56,840 --> 01:00:59,640 Speaker 1: to younger people. And you're much younger than much younger 1269 01:00:59,680 --> 01:01:03,120 Speaker 1: than me, and I'm more here Dad's vintage, and you 1270 01:01:03,200 --> 01:01:08,120 Speaker 1: know you guys, I do believe that societally, we do 1271 01:01:08,280 --> 01:01:13,120 Speaker 1: not give your generation and the generation younger than you 1272 01:01:13,840 --> 01:01:19,360 Speaker 1: enough credit for the thinking processes that you guys undertake, 1273 01:01:20,040 --> 01:01:23,440 Speaker 1: and your generation and the younger generation of you actually 1274 01:01:23,480 --> 01:01:26,400 Speaker 1: get often get accused as being not lazy, but not 1275 01:01:26,520 --> 01:01:29,520 Speaker 1: being as were committed as we were, you know, like 1276 01:01:29,640 --> 01:01:32,360 Speaker 1: when I was your age, and I think that's bullshit. 1277 01:01:32,520 --> 01:01:33,840 Speaker 1: I just think you just got a lot more to 1278 01:01:33,880 --> 01:01:36,160 Speaker 1: do with I mean, I just think there's just a 1279 01:01:36,200 --> 01:01:38,000 Speaker 1: lot more shit going on, a lot more stuff going 1280 01:01:38,040 --> 01:01:40,640 Speaker 1: on where you're more engaged, and you actually have a 1281 01:01:40,720 --> 01:01:44,840 Speaker 1: better view compared to us. We're very block youed. I 1282 01:01:45,000 --> 01:01:47,160 Speaker 1: try to be wider because I have a showload this 1283 01:01:47,240 --> 01:01:48,880 Speaker 1: so I have to be but and I have the 1284 01:01:48,880 --> 01:01:51,520 Speaker 1: opportunity to talk to be like you. Most people don't 1285 01:01:51,520 --> 01:01:53,320 Speaker 1: have that opportunity, which is why I do the show. 1286 01:01:53,360 --> 01:01:56,440 Speaker 1: By the way I do this show, this is not 1287 01:01:56,520 --> 01:01:59,880 Speaker 1: a money making thing. I do this show to expose 1288 01:02:00,120 --> 01:02:02,840 Speaker 1: audiences to people like you and your way thinking or 1289 01:02:03,320 --> 01:02:06,040 Speaker 1: you know, the way of thinking of a UFC fighter, 1290 01:02:06,120 --> 01:02:08,320 Speaker 1: or the way of thinking of a politician or a banker. 1291 01:02:08,960 --> 01:02:10,600 Speaker 1: You know, I had sitting in that chair, I had 1292 01:02:10,680 --> 01:02:13,280 Speaker 1: Anthony Miller to see west Paate Bank. I wanted to 1293 01:02:13,320 --> 01:02:15,640 Speaker 1: expose an audience to the way the boss of a 1294 01:02:15,720 --> 01:02:18,920 Speaker 1: big bank thinks, and that if they're not big, bad 1295 01:02:19,120 --> 01:02:23,480 Speaker 1: is either Anthony Miller is actually a really good, humble, 1296 01:02:23,680 --> 01:02:26,720 Speaker 1: smart guy committed to Westpac, to his bank, and to 1297 01:02:26,840 --> 01:02:31,080 Speaker 1: his shoulders and to his stuff. And I'm lucky and 1298 01:02:31,200 --> 01:02:33,240 Speaker 1: I get to do that, And I mean it's more 1299 01:02:33,280 --> 01:02:36,920 Speaker 1: difficult in your world. You're doing little bites of stuff. 1300 01:02:37,320 --> 01:02:40,280 Speaker 2: Yeah, I mean, look, I hear, and I think it's 1301 01:02:40,760 --> 01:02:43,480 Speaker 2: such a great thing to do, to be able to 1302 01:02:43,680 --> 01:02:47,280 Speaker 2: sort of move around into different topics and kind of 1303 01:02:47,440 --> 01:02:50,400 Speaker 2: guide a loyal what is now a really loyal audience 1304 01:02:50,520 --> 01:02:52,880 Speaker 2: through that. I think it's fantastic. I mean, I'm sort 1305 01:02:52,880 --> 01:02:54,480 Speaker 2: of lucky in the same way that I do get 1306 01:02:54,520 --> 01:02:58,240 Speaker 2: to sit down with a CEO. I feel very lucky 1307 01:02:58,320 --> 01:02:59,720 Speaker 2: that I am in the room and I get to 1308 01:02:59,760 --> 01:03:02,120 Speaker 2: ask a question of Michelle Bullock an hour after that. 1309 01:03:02,440 --> 01:03:03,640 Speaker 1: Believe so cool. 1310 01:03:03,680 --> 01:03:05,920 Speaker 2: I mean, it's cool, but it's a responsibility and I 1311 01:03:06,040 --> 01:03:06,760 Speaker 2: want people. 1312 01:03:06,560 --> 01:03:08,680 Speaker 1: To know that I take it seriously. What question did 1313 01:03:08,720 --> 01:03:10,320 Speaker 1: you ask? By the way, we're not the ABC answer. 1314 01:03:10,400 --> 01:03:12,120 Speaker 2: Yeah, I mean, look, I basically wanted to know how 1315 01:03:12,160 --> 01:03:14,919 Speaker 2: she feels about the abount of pressure that she's putting 1316 01:03:14,920 --> 01:03:15,480 Speaker 2: on households. 1317 01:03:16,440 --> 01:03:18,480 Speaker 1: Can you share her response. Yeah, yeah, and you can 1318 01:03:18,520 --> 01:03:19,000 Speaker 1: see it again. 1319 01:03:19,040 --> 01:03:21,600 Speaker 2: I mean, she basically said, look, I understand that it's difficult, 1320 01:03:21,600 --> 01:03:23,920 Speaker 2: and understand this is a blood instrument because you know 1321 01:03:24,040 --> 01:03:26,560 Speaker 2: what we were talking about before. Is it fair that 1322 01:03:26,680 --> 01:03:29,959 Speaker 2: it piles onto borrowers and they are expected to turn 1323 01:03:30,000 --> 01:03:32,560 Speaker 2: the wheel of the economy while others have more money 1324 01:03:32,600 --> 01:03:35,360 Speaker 2: to spend, and you know, borrowers, some of them going 1325 01:03:35,400 --> 01:03:37,160 Speaker 2: to go broke as a result of an interest rate 1326 01:03:37,200 --> 01:03:38,520 Speaker 2: increase or two or three, or. 1327 01:03:38,520 --> 01:03:42,480 Speaker 1: Stop paying the kids ballet classes or something will stop. 1328 01:03:42,680 --> 01:03:45,720 Speaker 2: Yeah, And I think what I learned from the response 1329 01:03:45,920 --> 01:03:49,360 Speaker 2: was that, you know, Michelle Bullock, the board Central bankers 1330 01:03:49,400 --> 01:03:51,919 Speaker 2: in general, they're not blind to this. They are working 1331 01:03:51,960 --> 01:03:55,320 Speaker 2: in the confines of pretty specific sets of goals and 1332 01:03:55,920 --> 01:04:01,120 Speaker 2: a pretty inelegant tool and mechanism to do. 1333 01:04:01,200 --> 01:04:04,320 Speaker 1: That with lots of elegant data and lots of eligant models, 1334 01:04:04,400 --> 01:04:06,480 Speaker 1: but that are really blunt instrument. 1335 01:04:06,680 --> 01:04:08,920 Speaker 2: Yeah, and it may look at it. To be honest, 1336 01:04:09,000 --> 01:04:10,760 Speaker 2: it made me and I have a huge amount of 1337 01:04:10,760 --> 01:04:14,280 Speaker 2: respect for Michelle Bullok. I say, you know, I have 1338 01:04:14,840 --> 01:04:17,040 Speaker 2: watched her do that press conference a lot of times now. 1339 01:04:17,600 --> 01:04:19,960 Speaker 2: I think that she is patient and I think she 1340 01:04:20,240 --> 01:04:23,120 Speaker 2: really does want to get the message across as clearly 1341 01:04:23,360 --> 01:04:27,280 Speaker 2: and responsibly as she can. And so I think, you know, 1342 01:04:27,560 --> 01:04:30,320 Speaker 2: my hatties all the way off. And I take the 1343 01:04:30,360 --> 01:04:34,160 Speaker 2: responsibility of asking a question quite seriously. But you have 1344 01:04:34,280 --> 01:04:35,919 Speaker 2: to really think about it. You have to think about 1345 01:04:36,000 --> 01:04:39,680 Speaker 2: what is going to help me structure a narrative into 1346 01:04:39,760 --> 01:04:42,040 Speaker 2: this story. How am I going to get the viewer 1347 01:04:42,120 --> 01:04:43,800 Speaker 2: from one end of the story to the other and 1348 01:04:43,920 --> 01:04:46,120 Speaker 2: then have a really clear idea of what's going on? 1349 01:04:46,800 --> 01:04:49,720 Speaker 2: And I think for that day on Tuesday, I thought, 1350 01:04:49,840 --> 01:04:51,880 Speaker 2: people are going to feel like they've been smashed here. 1351 01:04:52,680 --> 01:04:55,280 Speaker 2: A large portion of the population is going to feel 1352 01:04:55,280 --> 01:04:58,680 Speaker 2: like what just happened now unfair. In November, we weren't 1353 01:04:58,680 --> 01:05:00,360 Speaker 2: supposed to be It was supposed to be more cuts 1354 01:05:00,520 --> 01:05:02,560 Speaker 2: in twenty twenty six, and here we are, first meeting 1355 01:05:02,600 --> 01:05:05,400 Speaker 2: back February. We've got a hike. That's what I expected 1356 01:05:05,440 --> 01:05:07,520 Speaker 2: people at home to say. And so I wanted to say, 1357 01:05:07,720 --> 01:05:09,160 Speaker 2: you know, what do you say to the people who 1358 01:05:09,200 --> 01:05:12,840 Speaker 2: are feeling a bit hit for six here? And her 1359 01:05:12,880 --> 01:05:14,600 Speaker 2: response was reasonable. 1360 01:05:14,640 --> 01:05:17,840 Speaker 1: I thought, yeah, I actually I thought your your skip 1361 01:05:17,960 --> 01:05:20,360 Speaker 1: was quite measured, but it was actually it was quite 1362 01:05:20,400 --> 01:05:23,040 Speaker 1: clever too. I mean, you were Michelle Bullock or the 1363 01:05:23,680 --> 01:05:27,760 Speaker 1: the You weren't the Reserve Bank governor. You were what 1364 01:05:27,880 --> 01:05:30,760 Speaker 1: did you call it? This central bank? Central banker Because. 1365 01:05:30,960 --> 01:05:33,560 Speaker 2: To the point before, these are dynamics that people are 1366 01:05:33,600 --> 01:05:35,160 Speaker 2: familiar with elsewhere in the world as well. 1367 01:05:35,320 --> 01:05:40,440 Speaker 1: Yeah, that would have probably have got some acceptance overseas, 1368 01:05:40,480 --> 01:05:42,720 Speaker 1: particularly in the United States. But you were the central banker. 1369 01:05:42,760 --> 01:05:45,760 Speaker 1: But then you're also the consumer sitting at the other end. 1370 01:05:46,560 --> 01:05:48,520 Speaker 2: So I find that that can be helpful for the 1371 01:05:48,600 --> 01:05:51,680 Speaker 2: audience as well, to have a proxy and sort of say, okay, 1372 01:05:52,040 --> 01:05:52,919 Speaker 2: let's slow this down. 1373 01:05:53,000 --> 01:05:54,120 Speaker 1: You know, what do you mean by that? 1374 01:05:55,280 --> 01:05:57,919 Speaker 2: And I think I think it's it's kind of nice 1375 01:05:57,960 --> 01:06:01,280 Speaker 2: to be able to even to yourself, force yourself to 1376 01:06:01,360 --> 01:06:04,520 Speaker 2: explain it to yourself, you know, and be that person. 1377 01:06:05,200 --> 01:06:05,840 Speaker 1: Be both persons. 1378 01:06:06,080 --> 01:06:08,840 Speaker 2: It's right, subtract everything. What am I really trying to 1379 01:06:08,840 --> 01:06:09,240 Speaker 2: say here? 1380 01:06:09,560 --> 01:06:11,360 Speaker 1: You know, that's actually a good way putting it, you 1381 01:06:11,760 --> 01:06:14,280 Speaker 1: because like, if you've got to be both persons, like 1382 01:06:14,360 --> 01:06:16,280 Speaker 1: you've got to be the central banker and the consumer 1383 01:06:16,360 --> 01:06:20,840 Speaker 1: who doesn't quite understand the central bank speak, that makes 1384 01:06:20,920 --> 01:06:23,880 Speaker 1: you actually probably have a better understanding of the plight 1385 01:06:24,000 --> 01:06:24,360 Speaker 1: to both. 1386 01:06:26,280 --> 01:06:28,680 Speaker 2: That's nice of you, because I certainly don't want to 1387 01:06:28,920 --> 01:06:32,560 Speaker 2: ever point the finger unless it's absolutely necessary and say 1388 01:06:33,000 --> 01:06:34,080 Speaker 2: this person's a baddie. 1389 01:06:34,120 --> 01:06:35,200 Speaker 1: I just don't see that. 1390 01:06:35,720 --> 01:06:38,560 Speaker 2: In our economy, I see competing incentives a lot of 1391 01:06:38,600 --> 01:06:42,400 Speaker 2: the time. I see an interesting and lively jungle out there. 1392 01:06:43,800 --> 01:06:46,400 Speaker 2: But you know, we are fairly lucky in Australia. As 1393 01:06:46,440 --> 01:06:50,800 Speaker 2: we discussed before, we're well regulated. You know, major institutions 1394 01:06:50,960 --> 01:06:53,600 Speaker 2: have a relatively close high cast on them. I think 1395 01:06:54,120 --> 01:06:58,600 Speaker 2: what I don't want to do is be overly cynical 1396 01:06:58,880 --> 01:07:01,480 Speaker 2: and paint somebody in a way that he's completely unfair. 1397 01:07:01,600 --> 01:07:04,000 Speaker 2: I just don't want to do that, and I'm trying 1398 01:07:04,080 --> 01:07:04,280 Speaker 2: not to. 1399 01:07:04,880 --> 01:07:08,360 Speaker 1: Is that your generation, Because do you think your generation 1400 01:07:08,520 --> 01:07:12,160 Speaker 1: is more fair than say, maybe my generation, and particularly 1401 01:07:12,640 --> 01:07:14,960 Speaker 1: in terms of journalism, I don't know about that. I 1402 01:07:15,040 --> 01:07:16,120 Speaker 1: mean more fair. 1403 01:07:17,680 --> 01:07:19,240 Speaker 2: I like a lot of the journalists who came the 1404 01:07:19,320 --> 01:07:21,520 Speaker 2: generation before me. I think I did a pretty. 1405 01:07:21,240 --> 01:07:23,640 Speaker 1: Good job, but they were a little bit more brutal. 1406 01:07:23,680 --> 01:07:24,600 Speaker 1: I think, do you think so? 1407 01:07:24,960 --> 01:07:27,440 Speaker 2: I mean, you you probably had to cop plenty of 1408 01:07:27,480 --> 01:07:28,000 Speaker 2: hard questions. 1409 01:07:28,040 --> 01:07:30,240 Speaker 1: I did totally, and I got plenty of stuff that 1410 01:07:30,920 --> 01:07:35,200 Speaker 1: I felt like was unfair and inaccurate. But I think, Yeah, 1411 01:07:35,440 --> 01:07:38,280 Speaker 1: I just think that those journalists were Joe never got me. 1412 01:07:39,280 --> 01:07:42,520 Speaker 1: That was great, thank god, because Joe's probably the worst, 1413 01:07:42,800 --> 01:07:44,480 Speaker 1: I mean, the best of the worst. And what I 1414 01:07:44,520 --> 01:07:47,040 Speaker 1: remember that is the toughest strike for you. He's the 1415 01:07:47,120 --> 01:07:50,520 Speaker 1: best hard marker there is, Joe Aston I'm talking about 1416 01:07:51,200 --> 01:07:55,560 Speaker 1: as you know, I was. Joe was. Yeah. I never 1417 01:07:55,640 --> 01:07:59,280 Speaker 1: really got through his crosshairs, thank god, but I did 1418 01:07:59,320 --> 01:08:03,280 Speaker 1: get plenty of cis in various various ways. And I 1419 01:08:03,400 --> 01:08:07,160 Speaker 1: felt as though, I feel as though today's journalism, like 1420 01:08:07,400 --> 01:08:08,840 Speaker 1: you know, if you look at the Daily Mail and 1421 01:08:08,920 --> 01:08:11,280 Speaker 1: those sorts of things, they're I think they're fairer, you think, 1422 01:08:12,080 --> 01:08:14,280 Speaker 1: I know, I think they're more measured. That's good. 1423 01:08:14,360 --> 01:08:16,639 Speaker 2: I mean, I think that's a that's a good outcome 1424 01:08:17,080 --> 01:08:20,000 Speaker 2: for somebody in your position who has been and seen 1425 01:08:20,080 --> 01:08:22,680 Speaker 2: the way best and worst you can. Yeah, I think 1426 01:08:22,920 --> 01:08:26,880 Speaker 2: I think that's that's good news because we you know, 1427 01:08:27,280 --> 01:08:29,400 Speaker 2: there's not it's not a good thing to be too 1428 01:08:30,200 --> 01:08:31,520 Speaker 2: you know, one sided. 1429 01:08:31,400 --> 01:08:33,760 Speaker 1: Or too brutal, too brutal, I mean, and we have 1430 01:08:33,920 --> 01:08:35,760 Speaker 1: enough of that when we watch Trump et cetera, like 1431 01:08:35,840 --> 01:08:40,639 Speaker 1: we see the brutality of world leaders. I don't think 1432 01:08:40,680 --> 01:08:42,320 Speaker 1: we need to sort of see the same thing both 1433 01:08:42,360 --> 01:08:44,920 Speaker 1: at also at a journalistic level. I mean, and I 1434 01:08:45,040 --> 01:08:47,280 Speaker 1: think maybe because some of the world leaders are so 1435 01:08:47,360 --> 01:08:51,599 Speaker 1: brutal these days that journalists are actually sort of starting 1436 01:08:51,640 --> 01:08:53,240 Speaker 1: to pull back. And I think social media helps you 1437 01:08:53,320 --> 01:08:55,880 Speaker 1: that way, because you find out very quickly whether you've 1438 01:08:56,439 --> 01:08:59,000 Speaker 1: been unfair or fair. People will tell you straight up. 1439 01:08:59,040 --> 01:08:59,680 Speaker 1: People do tell you. 1440 01:08:59,760 --> 01:09:02,000 Speaker 2: They tell you to go harder, or that you've missed 1441 01:09:02,000 --> 01:09:04,720 Speaker 2: the point, or that you you know, that's not that's 1442 01:09:04,760 --> 01:09:07,240 Speaker 2: not the real issue, And of course they're entitled to 1443 01:09:07,280 --> 01:09:09,880 Speaker 2: their opinion. But yeah, I mean, look, I think it's 1444 01:09:10,080 --> 01:09:13,040 Speaker 2: very important not to dehumanize anyone. And you know, to 1445 01:09:13,120 --> 01:09:16,280 Speaker 2: your point before, Anthony Miller is a great bloke sitting 1446 01:09:16,320 --> 01:09:17,760 Speaker 2: at atop a very large. 1447 01:09:17,680 --> 01:09:19,320 Speaker 1: Tough job to institution. 1448 01:09:19,520 --> 01:09:23,360 Speaker 2: I don't think CEOs of banks are evil in anyone 1449 01:09:23,840 --> 01:09:25,320 Speaker 2: at all, and I hope it doesn't come. 1450 01:09:25,280 --> 01:09:25,680 Speaker 1: Off that way. 1451 01:09:25,760 --> 01:09:28,320 Speaker 2: In fact, when I do these kids, I want people 1452 01:09:28,439 --> 01:09:32,439 Speaker 2: to see that there's there's a person there. Sometimes the 1453 01:09:32,840 --> 01:09:36,840 Speaker 2: intent is to make money. Sometimes it's at a cost 1454 01:09:37,760 --> 01:09:42,280 Speaker 2: to ethics perhaps, but I mean everyone's just a person really. 1455 01:09:42,280 --> 01:09:43,040 Speaker 2: At the end of the day, I. 1456 01:09:43,040 --> 01:09:46,320 Speaker 1: Can devially say none of the big bank leaders are none. 1457 01:09:46,520 --> 01:09:50,519 Speaker 1: I know most of them. I've had general had some 1458 01:09:50,640 --> 01:09:53,439 Speaker 1: interaction with them at some point of the Big five, 1459 01:09:53,600 --> 01:09:57,120 Speaker 1: and they're all good people doing their best. We've got 1460 01:09:57,160 --> 01:10:00,920 Speaker 1: shareholder of obligations and which why we should have more 1461 01:10:00,960 --> 01:10:04,439 Speaker 1: of those conversations with those individuals. Well, mate, I'm going 1462 01:10:04,520 --> 01:10:07,600 Speaker 1: to give this one quick pump. How they get you, 1463 01:10:08,439 --> 01:10:11,679 Speaker 1: Chris Cohler, I'm not sure, but I think the chapters 1464 01:10:11,720 --> 01:10:14,920 Speaker 1: are probably probably better representation what the book is because 1465 01:10:14,920 --> 01:10:17,800 Speaker 1: he's not really telling you that, he doesn't really say 1466 01:10:17,840 --> 01:10:21,000 Speaker 1: who they are. But there's twenty four chapters, I think, 1467 01:10:21,080 --> 01:10:23,519 Speaker 1: and for me anyway, this sort of stuff is the 1468 01:10:23,560 --> 01:10:24,960 Speaker 1: sort of stuff that we need to read, and it's 1469 01:10:24,960 --> 01:10:27,920 Speaker 1: a good representation of how society has changed and how 1470 01:10:28,000 --> 01:10:30,439 Speaker 1: we got to start to think about how we spend 1471 01:10:30,560 --> 01:10:33,519 Speaker 1: our lives whilst they earn their lives, so we've got 1472 01:10:33,560 --> 01:10:34,880 Speaker 1: to start thinking about how we spend the lives. And 1473 01:10:34,920 --> 01:10:36,479 Speaker 1: this is by Chris Coler. Good luck to you, mate. 1474 01:10:36,680 --> 01:10:38,840 Speaker 2: Thank you so much, mamm I appreciate you're welcome. 1475 01:10:38,880 --> 01:10:39,320 Speaker 1: As always,