1 00:00:00,640 --> 00:00:02,800 Speaker 1: I get our team, Craig Anthey up, it's a you 2 00:00:02,920 --> 00:00:06,960 Speaker 1: project at Scilespo. It's Cook, who's very excited because one 3 00:00:06,960 --> 00:00:11,280 Speaker 1: of Melbourne's most excited Bogans has just brought herself what's 4 00:00:11,320 --> 00:00:15,200 Speaker 1: called a new exhaust system for her motorbike because she 5 00:00:15,320 --> 00:00:19,439 Speaker 1: thinks her motorbike is not loud enough. So she's just 6 00:00:19,480 --> 00:00:21,759 Speaker 1: gone from a three star Bogan to a five star 7 00:00:21,840 --> 00:00:24,920 Speaker 1: Bogan and now the cops are we chasing her with 8 00:00:25,000 --> 00:00:26,760 Speaker 1: her new illegal muffler. 9 00:00:26,840 --> 00:00:31,200 Speaker 2: Congratulations, thanks Harpause, I'm so excited. 10 00:00:33,479 --> 00:00:37,440 Speaker 1: What precipitated you spending all of that money to literally 11 00:00:37,680 --> 00:00:42,400 Speaker 1: just make your motorbike more obvious to the cops. 12 00:00:42,800 --> 00:00:44,760 Speaker 2: Well, I don't do anything illegal in the bike, so 13 00:00:44,840 --> 00:00:48,879 Speaker 2: that doesn't bother me. But once you recognize that you 14 00:00:49,000 --> 00:00:53,160 Speaker 2: feel like you're scooting around the street on a sewing machine. 15 00:00:53,720 --> 00:00:56,760 Speaker 2: That awareness never fades and it was going to bother 16 00:00:56,840 --> 00:00:58,040 Speaker 2: me for the rest of eternity. 17 00:00:58,720 --> 00:01:03,600 Speaker 1: Well, that's only because you've got a friend. And I 18 00:01:03,640 --> 00:01:07,400 Speaker 1: say friend, then inverted commas. Everyone wink, wink, nudge, nudge. 19 00:01:07,440 --> 00:01:11,479 Speaker 1: Special friend who rides a what's he ride in India? 20 00:01:11,880 --> 00:01:15,600 Speaker 1: And he rides and he's got a loud exhaust. Has 21 00:01:15,640 --> 00:01:17,160 Speaker 1: he so you had exhaust envy? 22 00:01:17,520 --> 00:01:21,000 Speaker 2: Yeah, everyone's got a louder exhaust to me, and don't you. 23 00:01:20,800 --> 00:01:22,920 Speaker 1: Start I've got no idea. 24 00:01:22,920 --> 00:01:25,520 Speaker 2: What was alad once? And I heard you start your bike? 25 00:01:26,680 --> 00:01:29,880 Speaker 1: I'm all very street legal giles both. Have you ever 26 00:01:30,000 --> 00:01:32,960 Speaker 1: ridden a motorbike either? Yeah? 27 00:01:33,000 --> 00:01:36,759 Speaker 3: I didn't think so, no desire whatsoever to ride a motorbike. 28 00:01:37,040 --> 00:01:38,720 Speaker 3: And I think the way you made them louder was 29 00:01:38,720 --> 00:01:40,440 Speaker 3: to go out with a screwdriver and punch holes in 30 00:01:40,480 --> 00:01:41,000 Speaker 3: the muffler. 31 00:01:41,760 --> 00:01:45,679 Speaker 1: Well that until until the seventies, that was the that 32 00:01:45,800 --> 00:01:48,400 Speaker 1: was the practice. But we've kicked on a little bit 33 00:01:48,760 --> 00:01:51,960 Speaker 1: since when you were And. 34 00:01:51,840 --> 00:01:53,640 Speaker 3: Then you get to fend a grand and put an 35 00:01:53,640 --> 00:01:55,560 Speaker 3: attachment on in steadae. 36 00:01:55,120 --> 00:01:57,560 Speaker 1: Well that's a cheap that's a cheap one too, That's 37 00:01:57,600 --> 00:02:01,040 Speaker 1: all right. That is very cheap because she bought it 38 00:02:01,080 --> 00:02:03,800 Speaker 1: off gum Tree whatever that is. I feel like I 39 00:02:03,840 --> 00:02:06,040 Speaker 1: have no idea. But is gum tree dodgy or is 40 00:02:06,080 --> 00:02:06,880 Speaker 1: that legitive? 41 00:02:07,080 --> 00:02:09,200 Speaker 2: Now it's legit. It's just a secondhand platform. It's just 42 00:02:09,200 --> 00:02:12,800 Speaker 2: a platform where you can sell things a marketplace. But 43 00:02:12,840 --> 00:02:14,359 Speaker 2: there's plenty of dodgy people on there. 44 00:02:15,360 --> 00:02:20,000 Speaker 1: Of course, there are David James Kevin, Patrick Gillespie. It's 45 00:02:20,040 --> 00:02:22,720 Speaker 1: five point thirty seven as we record in Melbourne on 46 00:02:22,840 --> 00:02:27,240 Speaker 1: the sixth of November. It's quite an historic not atif, 47 00:02:27,360 --> 00:02:31,960 Speaker 1: and it's quite an historic day in the world because 48 00:02:33,720 --> 00:02:37,200 Speaker 1: they are stumbling towards the finish line, or striding brilliantly 49 00:02:37,280 --> 00:02:42,200 Speaker 1: towards the finish line of the American election. Any thoughts, 50 00:02:42,280 --> 00:02:45,200 Speaker 1: any predictions? Do you give a shit? Do you pay attention? 51 00:02:45,800 --> 00:02:47,920 Speaker 1: You are a lawyer, I would think that you do 52 00:02:48,680 --> 00:02:50,240 Speaker 1: have a fleeting interest. 53 00:02:50,880 --> 00:02:52,280 Speaker 3: Oh, no, I have a lot of interest in it. 54 00:02:52,520 --> 00:02:54,959 Speaker 3: I think America is about to make a very very 55 00:02:54,960 --> 00:03:01,080 Speaker 3: bad decision. I think they're probably going to elect Trump 56 00:03:01,080 --> 00:03:04,520 Speaker 3: at this stage, that's what the numbers look like. And 57 00:03:06,280 --> 00:03:09,520 Speaker 3: I think that's very very bad for America and then 58 00:03:09,880 --> 00:03:12,760 Speaker 3: as a consequence, bad for the rest of us eventually. 59 00:03:14,800 --> 00:03:18,000 Speaker 1: Well, we could do a whole episode on that, just 60 00:03:18,120 --> 00:03:20,640 Speaker 1: yes or no, sociopath or yes or no? 61 00:03:21,000 --> 00:03:25,600 Speaker 3: Oh definitely. Oh, but then again, that's that's that's not 62 00:03:25,680 --> 00:03:29,119 Speaker 3: a hard question when you're talking about politicians. I mean, 63 00:03:29,600 --> 00:03:33,800 Speaker 3: your ninety nine percent answer is yes, definitely. It's you know, 64 00:03:34,360 --> 00:03:38,400 Speaker 3: now convinced me I'm wrong. Really start from the proposition 65 00:03:38,440 --> 00:03:40,440 Speaker 3: that you're talking about a psychopath when you're talking about 66 00:03:40,440 --> 00:03:43,800 Speaker 3: a politician, and then find evidence that perhaps they're not. 67 00:03:46,040 --> 00:03:49,400 Speaker 1: Well this time tomorrow, I think, well, know, so let's 68 00:03:49,520 --> 00:03:54,200 Speaker 1: let's not have any political debates. But that's not what 69 00:03:54,240 --> 00:03:57,880 Speaker 1: we do here. I've consciously avoided doing. 70 00:03:57,920 --> 00:04:00,800 Speaker 3: We have never not once talked about politics. And this 71 00:04:00,880 --> 00:04:03,360 Speaker 3: is and my opinion is not really about politics. I'm 72 00:04:03,360 --> 00:04:06,480 Speaker 3: not a Republican or Democrat. I'm just looking at the 73 00:04:06,520 --> 00:04:09,000 Speaker 3: things he says he's going to do and the likelihood 74 00:04:09,000 --> 00:04:11,120 Speaker 3: that he will do it, and how that's going to 75 00:04:11,120 --> 00:04:13,080 Speaker 3: be some pretty bad outcomes for the world. 76 00:04:13,760 --> 00:04:18,400 Speaker 1: Yeah, yeah, Well, time will tell, and I just hope 77 00:04:18,400 --> 00:04:24,480 Speaker 1: there's I hope there's not a civil war. I hope there's. 78 00:04:25,040 --> 00:04:28,400 Speaker 3: I think it's less likely if he wins, because the 79 00:04:28,480 --> 00:04:33,520 Speaker 3: people who would lose are a likely to accept the result, 80 00:04:33,960 --> 00:04:38,680 Speaker 3: and because they believe in democracy and be aren't the 81 00:04:39,000 --> 00:04:43,720 Speaker 3: armed crazy people or have less of them. 82 00:04:43,760 --> 00:04:48,719 Speaker 1: Wow wow, all right, So if you don't know everyone, 83 00:04:49,520 --> 00:04:54,480 Speaker 1: we've got a page for the podcast, which is brilliantly 84 00:04:54,760 --> 00:05:00,080 Speaker 1: named the You Project Podcast Facebook page. TIF and I 85 00:05:00,120 --> 00:05:02,800 Speaker 1: worked on that tirelessly. We had a team of branding 86 00:05:02,800 --> 00:05:07,159 Speaker 1: and marketing people. We paid thousands. It took about three weeks, 87 00:05:07,200 --> 00:05:10,800 Speaker 1: but we finally came up with a you Project podcast 88 00:05:10,920 --> 00:05:12,440 Speaker 1: as the name of the page. 89 00:05:12,520 --> 00:05:16,400 Speaker 3: So I want to know about I'm going to interrupt 90 00:05:16,400 --> 00:05:19,480 Speaker 3: you here because it brings to mind a story back 91 00:05:19,520 --> 00:05:21,039 Speaker 3: in the tech days when I was in the tech 92 00:05:21,080 --> 00:05:23,960 Speaker 3: industry and I was heavily involved in a partnership with 93 00:05:24,000 --> 00:05:26,920 Speaker 3: Intel with a startup that I did in the United States, 94 00:05:26,960 --> 00:05:30,680 Speaker 3: and we were working with them closely on our chip 95 00:05:30,760 --> 00:05:33,400 Speaker 3: that they were about to bring out, which ultimately was 96 00:05:33,480 --> 00:05:37,240 Speaker 3: released as the fifth version of the Pentium chip that 97 00:05:37,320 --> 00:05:40,120 Speaker 3: they released, And they had a huge marketing team with 98 00:05:40,200 --> 00:05:42,880 Speaker 3: a massive marketing budget aimed at trying to figure out 99 00:05:42,880 --> 00:05:46,240 Speaker 3: what to call this thing. And then after about or 100 00:05:46,279 --> 00:05:50,239 Speaker 3: six weeks of deliberations and user surveys and focused teams 101 00:05:50,240 --> 00:05:52,400 Speaker 3: and all that sort of crap, they came up with 102 00:05:52,680 --> 00:05:59,760 Speaker 3: Pentium five, which was the successor to Penum four. Wow, 103 00:06:01,000 --> 00:06:02,280 Speaker 3: that was worth the money? 104 00:06:03,800 --> 00:06:08,680 Speaker 1: Did wow? Did you? You would have recoiled with bloody 105 00:06:08,720 --> 00:06:11,080 Speaker 1: amazement and admiration for the time. 106 00:06:11,120 --> 00:06:12,800 Speaker 3: We were all in shock. We were in shock. We 107 00:06:13,040 --> 00:06:15,120 Speaker 3: would never have predicted that that would be where they 108 00:06:15,120 --> 00:06:17,440 Speaker 3: would have gone, because they'd gone from Pentium three to 109 00:06:17,520 --> 00:06:20,000 Speaker 3: Pentium four, So it was you know, they could have 110 00:06:20,000 --> 00:06:21,120 Speaker 3: gone anywhere with. 111 00:06:21,320 --> 00:06:24,719 Speaker 1: Who would have seen that? That's probably one of the 112 00:06:24,720 --> 00:06:29,599 Speaker 1: great creative master strokes of all time. And and was 113 00:06:29,640 --> 00:06:31,520 Speaker 1: there a subsequent Pentiem six? 114 00:06:32,200 --> 00:06:35,400 Speaker 3: Oh yeah, I think so, yeah, yeah, no doubt. After 115 00:06:35,800 --> 00:06:36,719 Speaker 3: much deliberation. 116 00:06:39,640 --> 00:06:44,239 Speaker 1: Now before gillespo bloody rudely interrupted me, everyone I was saying, 117 00:06:44,240 --> 00:06:49,320 Speaker 1: we got this page. Anyway, on this page you are 118 00:06:49,400 --> 00:06:52,160 Speaker 1: more than welcome to there's no hooks catches genders, but 119 00:06:52,200 --> 00:06:55,480 Speaker 1: become a member of the Just jump on and click. 120 00:06:55,640 --> 00:06:57,119 Speaker 1: I don't know how the fuck you do it. Actually 121 00:06:57,120 --> 00:07:00,720 Speaker 1: I've never done it. You just click something tips I 122 00:07:00,760 --> 00:07:03,440 Speaker 1: don't know. Speaking of branding and marketing, and I'm shit 123 00:07:03,480 --> 00:07:06,080 Speaker 1: at selling my own stuff, but it costs nothing but 124 00:07:07,360 --> 00:07:09,040 Speaker 1: a bunch of people get in there and talk about 125 00:07:09,080 --> 00:07:11,360 Speaker 1: the podcast and or perhaps who they want to have 126 00:07:11,480 --> 00:07:14,520 Speaker 1: on coming up, or suggestions or ideas for topics that 127 00:07:14,560 --> 00:07:18,800 Speaker 1: we might explore, and also of like a young mister 128 00:07:18,840 --> 00:07:22,760 Speaker 1: Gillespie is sharing. And I don't like complimenting him because 129 00:07:23,520 --> 00:07:26,200 Speaker 1: you know he doesn't need it, but he does write 130 00:07:26,200 --> 00:07:29,080 Speaker 1: brilliant fucking articles, and so most of his articles are 131 00:07:29,080 --> 00:07:32,200 Speaker 1: going up or the ones that he sees fits put 132 00:07:32,280 --> 00:07:34,800 Speaker 1: up on our page. So not only can you listen 133 00:07:34,800 --> 00:07:39,200 Speaker 1: to him once fortnite, you can read his stuff. And so, 134 00:07:39,480 --> 00:07:42,720 Speaker 1: speaking of that, let's start with I didn't talk to 135 00:07:42,760 --> 00:07:46,960 Speaker 1: you about this one before we went live, but the 136 00:07:47,120 --> 00:07:52,440 Speaker 1: trust apocalypse. Why honesty is our only hope and the 137 00:07:52,880 --> 00:07:56,240 Speaker 1: kind of the hook your preface was is trust becoming 138 00:07:56,280 --> 00:08:00,000 Speaker 1: a luxury we can no longer afford feeling a little 139 00:08:00,080 --> 00:08:03,320 Speaker 1: dystopian lately, supermarket of a charging you politicians lying to 140 00:08:03,400 --> 00:08:06,680 Speaker 1: face kindently being spider on. You're not alone. My latest 141 00:08:06,760 --> 00:08:08,920 Speaker 1: article is about the alarming erosion of trust in our 142 00:08:08,960 --> 00:08:12,840 Speaker 1: society and the serious consequence it brings. And there's more 143 00:08:12,880 --> 00:08:15,680 Speaker 1: but that will kick you off. Open that door if 144 00:08:15,680 --> 00:08:16,680 Speaker 1: you would, Giles Bow. 145 00:08:17,840 --> 00:08:24,400 Speaker 3: Yeah, So it's one of the fundamental things that we've 146 00:08:24,400 --> 00:08:27,240 Speaker 3: talked a little bit about this before. But we're an 147 00:08:27,320 --> 00:08:31,920 Speaker 3: unlikely apex predator because we really have nothing to recommend 148 00:08:32,000 --> 00:08:35,560 Speaker 3: ourselves as winners of the evolutionary fight. You know, we're 149 00:08:35,600 --> 00:08:39,520 Speaker 3: sort of meet on feet really, you know, no fangs, 150 00:08:39,559 --> 00:08:43,679 Speaker 3: no venom, no armor, no nothing. So and yet we 151 00:08:43,720 --> 00:08:47,880 Speaker 3: own this place. So what's our evolutionary advantage? It isn't 152 00:08:47,880 --> 00:08:50,920 Speaker 3: our good looks It isn't how loud our motorbikes are. 153 00:08:51,360 --> 00:08:59,280 Speaker 3: It's oh maybe it's it's it's that we work together 154 00:08:59,400 --> 00:09:03,280 Speaker 3: well with rangers. We're the only species on the planet 155 00:09:03,840 --> 00:09:09,319 Speaker 3: that can cooperate with strangers in that. No other species 156 00:09:09,360 --> 00:09:12,440 Speaker 3: does this. Now, there's other species that work well in 157 00:09:12,600 --> 00:09:16,600 Speaker 3: family groups, you know, elephants, for example, chimpanzees, things like that. 158 00:09:16,880 --> 00:09:20,959 Speaker 3: They'll work together in large family groups of you know, uncle's, nieces, nephews, etc. 159 00:09:21,480 --> 00:09:24,000 Speaker 3: But they don't work with strangers. They don't get together 160 00:09:24,040 --> 00:09:27,520 Speaker 3: with strangers and arrange themselves in large groups of hundreds 161 00:09:27,600 --> 00:09:31,200 Speaker 3: or thousands or in humans case, millions of strangers who 162 00:09:31,280 --> 00:09:34,559 Speaker 3: are all cooperating towards a goal. Now we're the only 163 00:09:34,600 --> 00:09:36,520 Speaker 3: ones who do that. And people might say, oh, yeah, 164 00:09:36,520 --> 00:09:40,720 Speaker 3: but what about ants. Well, ants are essentially one organism 165 00:09:40,920 --> 00:09:45,680 Speaker 3: with lots of moving parts. They're not individuals working together 166 00:09:46,160 --> 00:09:51,720 Speaker 3: there and organism. So but with humans, we're separate organisms 167 00:09:52,120 --> 00:09:56,000 Speaker 3: cooperating with each other at really large scale, which means 168 00:09:56,280 --> 00:09:58,480 Speaker 3: that when we're going to take down the wooly mammoth 169 00:09:58,559 --> 00:10:01,040 Speaker 3: or the saber tooth tiger, we've got twenty mates will 170 00:10:01,080 --> 00:10:03,800 Speaker 3: help us, and we can cooperate in real time and 171 00:10:03,960 --> 00:10:07,040 Speaker 3: trust that none of them will stab us in the back. 172 00:10:08,360 --> 00:10:11,560 Speaker 3: And that last bit is the important bit. What allows 173 00:10:11,720 --> 00:10:15,840 Speaker 3: us to work well with strangers is that we trust strangers. 174 00:10:17,080 --> 00:10:21,240 Speaker 3: Our number one first go to when we think about 175 00:10:21,280 --> 00:10:24,280 Speaker 3: whether or not we're going to work with someone is 176 00:10:24,840 --> 00:10:29,760 Speaker 3: we default to trust. We assume you are not going 177 00:10:29,920 --> 00:10:34,160 Speaker 3: to double cross us. Now, sometimes we're wrong. If we're 178 00:10:34,160 --> 00:10:37,400 Speaker 3: dealing with a psychopath, we will probably be wrong because 179 00:10:37,400 --> 00:10:39,440 Speaker 3: they will see that we trust them and exploit it 180 00:10:39,480 --> 00:10:42,440 Speaker 3: against us. But for the vast majority of us, the 181 00:10:42,480 --> 00:10:45,560 Speaker 3: other ninety five percent of the community, we trust each 182 00:10:45,559 --> 00:10:49,320 Speaker 3: other on default, and that trust is what allows us 183 00:10:49,400 --> 00:10:51,000 Speaker 3: to work together. It allows you to sit in a 184 00:10:51,080 --> 00:10:53,160 Speaker 3: room with people sitting behind you and have you not 185 00:10:53,240 --> 00:10:55,160 Speaker 3: be anxious about the fact that one of them might 186 00:10:55,160 --> 00:10:58,840 Speaker 3: stab you in the back. It allows you to focus 187 00:10:58,920 --> 00:11:01,840 Speaker 3: your energy on building an outcome that is greater than 188 00:11:01,880 --> 00:11:05,480 Speaker 3: the sum of the parts, because as a community of 189 00:11:05,600 --> 00:11:08,880 Speaker 3: one hundred people working together, you can always do more 190 00:11:09,400 --> 00:11:11,680 Speaker 3: than an individual can do just because you don't have 191 00:11:11,800 --> 00:11:14,400 Speaker 3: enough time, even if people went out to get you 192 00:11:15,280 --> 00:11:18,960 Speaker 3: so talking about your page before you've got what three 193 00:11:18,960 --> 00:11:21,480 Speaker 3: and a half thousand people on that page. As a 194 00:11:21,520 --> 00:11:24,720 Speaker 3: community of three and a half thousand people. They can 195 00:11:24,840 --> 00:11:28,680 Speaker 3: work to solve problems and share information because they all 196 00:11:28,720 --> 00:11:33,520 Speaker 3: trust each other, and that's what gives it the power. 197 00:11:33,559 --> 00:11:35,800 Speaker 3: They can do much more there than you can do 198 00:11:35,920 --> 00:11:41,160 Speaker 3: on your own. And so the piece is about the 199 00:11:41,160 --> 00:11:45,080 Speaker 3: fact that that's eroding now in modern society, is that 200 00:11:45,440 --> 00:11:49,160 Speaker 3: we're increasingly ending up in a position where it's every 201 00:11:49,200 --> 00:11:54,960 Speaker 3: man for himself, so the community assets draining away. We're 202 00:11:55,000 --> 00:11:58,040 Speaker 3: not able to trust that the community will look after us, 203 00:11:58,280 --> 00:12:03,240 Speaker 3: We're not able to to believe that those in power 204 00:12:03,320 --> 00:12:08,800 Speaker 3: have our best interests in mind. And people often say, well, well, yeah, 205 00:12:08,880 --> 00:12:11,280 Speaker 3: that's the reality. I understand that. That's why you've got 206 00:12:11,320 --> 00:12:13,920 Speaker 3: no one volunteering to do touch shop anymore. It's why 207 00:12:14,240 --> 00:12:18,320 Speaker 3: non volunteers for anything, because it's every man for himself. 208 00:12:18,480 --> 00:12:22,240 Speaker 3: When it's every man for himself, most people lose. And 209 00:12:22,360 --> 00:12:25,040 Speaker 3: a society that operates on every man for himself will 210 00:12:25,040 --> 00:12:29,640 Speaker 3: always lose against a society that doesn't, because the society 211 00:12:29,640 --> 00:12:33,960 Speaker 3: that doesn't has the power of the community working together. 212 00:12:34,440 --> 00:12:36,560 Speaker 3: And the only way to bring that back into a 213 00:12:36,600 --> 00:12:42,640 Speaker 3: society is with honesty. Demand honesty and transparency from those 214 00:12:42,679 --> 00:12:46,280 Speaker 3: in power, punish them when they're not, and you will 215 00:12:46,320 --> 00:12:48,760 Speaker 3: have people behave in the best interests of the community, 216 00:12:49,040 --> 00:12:52,040 Speaker 3: whether they're psychopaths or not, because the only way to 217 00:12:52,080 --> 00:12:55,560 Speaker 3: get ahead is to have the community to support you, 218 00:12:55,640 --> 00:12:57,400 Speaker 3: and the only way to have that happen is be 219 00:12:57,480 --> 00:13:01,360 Speaker 3: honest with them so that they believe you. Older listeners 220 00:13:01,360 --> 00:13:04,720 Speaker 3: in your audience may well remember a time when politicians 221 00:13:04,720 --> 00:13:10,000 Speaker 3: were punished for lying. Where a politician lied to the population, 222 00:13:10,040 --> 00:13:12,200 Speaker 3: no matter how little it was about, no matter what 223 00:13:12,240 --> 00:13:14,720 Speaker 3: it was about, they'd be unlikely to ever win an 224 00:13:14,760 --> 00:13:17,800 Speaker 3: election again, and they'd probably have to leave office as 225 00:13:17,800 --> 00:13:22,199 Speaker 3: soon as it was discovered. Now that doesn't happen. Now 226 00:13:22,360 --> 00:13:26,440 Speaker 3: politicians lie continuously to us and are still in the job. 227 00:13:26,640 --> 00:13:30,080 Speaker 3: And that's because we let them do it. It's not 228 00:13:30,280 --> 00:13:33,040 Speaker 3: like we're falling for it. We know they're lying to us, 229 00:13:33,280 --> 00:13:35,920 Speaker 3: but we let them do it. 230 00:13:35,920 --> 00:13:41,000 Speaker 1: It's yeah, I was thinking, we'll come back to the politics, 231 00:13:41,040 --> 00:13:45,880 Speaker 1: but in terms of like trust, and this is a 232 00:13:45,920 --> 00:13:49,480 Speaker 1: funny thing, but it relates. I've thought many times because 233 00:13:49,480 --> 00:13:52,600 Speaker 1: I've been riding motorbikes since I was eighteen. On the road, right, 234 00:13:53,320 --> 00:13:55,720 Speaker 1: and you trust when you're on a just to say, 235 00:13:55,760 --> 00:14:00,160 Speaker 1: a single lane road, So one lane each way, like 236 00:14:00,200 --> 00:14:03,480 Speaker 1: I'm riding one way, a truck or even a is 237 00:14:03,480 --> 00:14:06,319 Speaker 1: the other way. They just need to deviate a little bit, 238 00:14:06,400 --> 00:14:10,120 Speaker 1: and I'm dead and they've got a dent, you know 239 00:14:10,160 --> 00:14:13,960 Speaker 1: what I mean. It's like you're trusting that everyone is 240 00:14:14,040 --> 00:14:16,520 Speaker 1: going to do what they are meant to do legally 241 00:14:16,720 --> 00:14:20,520 Speaker 1: on the road, because when you're a motorcyclist, of course 242 00:14:20,640 --> 00:14:25,320 Speaker 1: you're very, very vulnerable, and you are relying on other 243 00:14:25,400 --> 00:14:31,920 Speaker 1: people's I guess, not honesty, but other people's intention to 244 00:14:32,120 --> 00:14:35,400 Speaker 1: not hurt you and to abide by the law and 245 00:14:35,640 --> 00:14:39,840 Speaker 1: do what's required. And I even think that sometimes because 246 00:14:39,880 --> 00:14:43,080 Speaker 1: I live on a busy main road and every time 247 00:14:43,120 --> 00:14:44,560 Speaker 1: I want to go and get a coffee, I've got 248 00:14:44,560 --> 00:14:47,880 Speaker 1: across that busy road. And sometimes when a car's going 249 00:14:47,960 --> 00:14:51,480 Speaker 1: by me, it's like the difference between being fully alive 250 00:14:51,520 --> 00:14:54,600 Speaker 1: and fully dead is about two feet. Yes, you know 251 00:14:55,000 --> 00:14:57,480 Speaker 1: this car go you know if yeah, if that one 252 00:14:57,560 --> 00:15:00,680 Speaker 1: foot It's like there's a car going pass me at 253 00:15:00,760 --> 00:15:05,320 Speaker 1: sixty k's if that car hit me full on, I'd 254 00:15:05,360 --> 00:15:11,040 Speaker 1: probably be dead. If not, you know, next to dead. 255 00:15:10,720 --> 00:15:14,280 Speaker 1: And that's like whizzing by me, like all they've got 256 00:15:14,320 --> 00:15:18,320 Speaker 1: to do is not concentrate or worse still, be a 257 00:15:18,400 --> 00:15:22,640 Speaker 1: fucking psychopath, you know. And I'm dead, you know, But 258 00:15:22,720 --> 00:15:24,680 Speaker 1: you just I stand on the side of the road 259 00:15:25,400 --> 00:15:28,880 Speaker 1: and I literally I'm inches from where they're whizzing by. 260 00:15:28,920 --> 00:15:31,680 Speaker 1: Its sixty k's thinking that they're going to stay on 261 00:15:31,720 --> 00:15:34,520 Speaker 1: the trajectory they are when I get to the edge 262 00:15:34,520 --> 00:15:35,000 Speaker 1: of the road. 263 00:15:37,000 --> 00:15:39,920 Speaker 3: And I mean, there's lots of mechanisms to enforce trust, 264 00:15:40,000 --> 00:15:42,160 Speaker 3: one of them being that they would be punished if 265 00:15:42,200 --> 00:15:45,800 Speaker 3: they did run into you. So policing is an effective 266 00:15:45,800 --> 00:15:49,920 Speaker 3: way of making enforcing people or making them trust and corporate. 267 00:15:50,280 --> 00:15:52,840 Speaker 3: But you can't police everything all the time. And it's 268 00:15:52,920 --> 00:15:57,040 Speaker 3: really trust. Someone famous whose name I can't remember, once 269 00:15:57,080 --> 00:16:02,560 Speaker 3: said trust is like air. When it's there, you don't 270 00:16:02,560 --> 00:16:05,040 Speaker 3: notice it. When it's not, you notice it very very quickly. 271 00:16:06,320 --> 00:16:10,320 Speaker 3: And that's what it's like with trust. So we've had 272 00:16:10,360 --> 00:16:13,640 Speaker 3: a recent example of the air being sucked out of 273 00:16:13,680 --> 00:16:16,320 Speaker 3: our society in the form of the trust being sucked out, 274 00:16:16,560 --> 00:16:19,720 Speaker 3: and I mentioned it in that piece. It's last week 275 00:16:19,840 --> 00:16:23,280 Speaker 3: we had the report into the COVID reaction of the 276 00:16:23,320 --> 00:16:28,200 Speaker 3: response of Australia COVID and what they found was that 277 00:16:28,280 --> 00:16:31,880 Speaker 3: the response of government in failing to properly explain what 278 00:16:31,880 --> 00:16:34,720 Speaker 3: they were doing, failing to have evidence behind what they did, 279 00:16:35,080 --> 00:16:39,440 Speaker 3: and the overreaction in terms of the enforcement of lockdowns 280 00:16:39,440 --> 00:16:43,680 Speaker 3: and so on. It it took a massive impact on 281 00:16:43,760 --> 00:16:47,440 Speaker 3: the trust that society has in public health authorities and 282 00:16:48,240 --> 00:16:52,280 Speaker 3: and and it's translating through into other public health initiatives now. 283 00:16:52,360 --> 00:16:55,920 Speaker 3: Now people are less likely to become vaccinated, are less 284 00:16:56,000 --> 00:16:59,120 Speaker 3: likely to comply with public health directives because they don't 285 00:16:59,160 --> 00:17:02,960 Speaker 3: trust the authorities. Because whilst they complied at the time 286 00:17:03,000 --> 00:17:06,639 Speaker 3: because they didn't have a choice. What's happening now is 287 00:17:06,680 --> 00:17:10,280 Speaker 3: the blowback from that. And yes, that's what That's the 288 00:17:10,359 --> 00:17:13,000 Speaker 3: thing about trust, when you suck it out, which is 289 00:17:13,040 --> 00:17:16,000 Speaker 3: what happened there, When you burn that credit, when you 290 00:17:16,160 --> 00:17:19,439 Speaker 3: when you erode the trust when you need it, it 291 00:17:19,480 --> 00:17:24,840 Speaker 3: won't be there. People won't trust you, and they won't 292 00:17:24,840 --> 00:17:26,600 Speaker 3: do what you want, what you need them to do. 293 00:17:26,920 --> 00:17:31,240 Speaker 3: And that's happening. That's one example, but it's happening across 294 00:17:31,359 --> 00:17:34,760 Speaker 3: all of our institutions in society. Is that more and 295 00:17:34,880 --> 00:17:38,119 Speaker 3: more we are becoming aware that we're being lied to 296 00:17:38,760 --> 00:17:42,960 Speaker 3: and the result is we don't trust those in authority, 297 00:17:43,280 --> 00:17:45,679 Speaker 3: which means we won't do what they want us to 298 00:17:45,760 --> 00:17:51,000 Speaker 3: do because we're thinking about every man for himself, and 299 00:17:51,320 --> 00:17:55,000 Speaker 3: whilst that might be an immediate thing that protects us, 300 00:17:55,359 --> 00:17:57,119 Speaker 3: it's a bad thing for our society. 301 00:17:57,640 --> 00:18:02,359 Speaker 1: M Yeah. It was such an interesting time. It was 302 00:18:02,440 --> 00:18:07,080 Speaker 1: such like a weird intersection of of like biological and 303 00:18:07,119 --> 00:18:15,320 Speaker 1: sociological and commercial and medical kind of interest. And I 304 00:18:15,359 --> 00:18:18,159 Speaker 1: remember Brett Sutton or whatever his name is standing up 305 00:18:18,359 --> 00:18:22,000 Speaker 1: or he's the see just the Victorian once if or 306 00:18:22,000 --> 00:18:27,639 Speaker 1: that I think he's thet yeah, yeah, and like emphatically 307 00:18:27,800 --> 00:18:31,160 Speaker 1: going well, you know once you I think it was him, 308 00:18:31,200 --> 00:18:33,000 Speaker 1: et said it might have been a lady I forget, 309 00:18:33,040 --> 00:18:35,840 Speaker 1: but basically, you know, once you're vaccinated, that's it. You 310 00:18:35,880 --> 00:18:40,320 Speaker 1: can't you can't get COVID or you can't infect anyone else. 311 00:18:41,000 --> 00:18:44,760 Speaker 1: It's like, well neither of those things were true, and 312 00:18:44,760 --> 00:18:49,200 Speaker 1: and we unequivocally know that you know this, this works, 313 00:18:49,200 --> 00:18:52,040 Speaker 1: and it's like, well, no, lots of people got vaccinated 314 00:18:52,080 --> 00:18:55,400 Speaker 1: and then fucking had COVID, you know. And I think 315 00:18:55,440 --> 00:18:57,159 Speaker 1: there was quite a bit of evidence to say that 316 00:18:57,200 --> 00:19:01,160 Speaker 1: once you've had COVID, that's a much better vaccine in 317 00:19:01,160 --> 00:19:04,800 Speaker 1: inverted commas than the vaccine itself, you know, like your 318 00:19:04,920 --> 00:19:09,840 Speaker 1: immunity is much greater post COVID than post vaccination, but 319 00:19:09,960 --> 00:19:14,720 Speaker 1: nobody wanted to talk about and yeah, it's the trouble. 320 00:19:14,400 --> 00:19:17,160 Speaker 3: With that is And I think I heard someone say 321 00:19:17,160 --> 00:19:18,800 Speaker 3: it at the time. I can't remember who it was. 322 00:19:18,800 --> 00:19:21,000 Speaker 3: I'd love to give them the credit for it, but 323 00:19:21,080 --> 00:19:24,040 Speaker 3: some expert got on the radio or something and said, 324 00:19:24,320 --> 00:19:27,320 Speaker 3: one of the risks we take with this in overstating 325 00:19:27,600 --> 00:19:30,560 Speaker 3: the efficacy of these vaccines because they knew they were 326 00:19:30,600 --> 00:19:32,840 Speaker 3: doing that now, just as they know they're doing it 327 00:19:32,880 --> 00:19:35,520 Speaker 3: with the flu vaccine, right. I mean, the highest point 328 00:19:35,520 --> 00:19:38,040 Speaker 3: that the flu vaccines ever reached in terms of efficacy 329 00:19:38,080 --> 00:19:42,040 Speaker 3: is something under fifty percent, which makes it basically means 330 00:19:42,160 --> 00:19:45,479 Speaker 3: it's a matter of chance, and that's the highest point. 331 00:19:46,240 --> 00:19:48,560 Speaker 3: So you know, they knew they were doing that with 332 00:19:48,600 --> 00:19:50,760 Speaker 3: the covid vaccines as well, but they felt that the 333 00:19:50,760 --> 00:19:55,760 Speaker 3: public health outcomes were more important. Is that the risk 334 00:19:56,080 --> 00:19:58,720 Speaker 3: that they're running by doing that is that they make 335 00:19:58,880 --> 00:20:02,800 Speaker 3: people believe that that applies to all vaccines, and it doesn't. 336 00:20:03,520 --> 00:20:07,520 Speaker 3: So there are vaccines with extremely high efficacy, but if 337 00:20:07,600 --> 00:20:12,040 Speaker 3: you lie to people about a vaccine, people translate that 338 00:20:12,560 --> 00:20:16,640 Speaker 3: across to every vaccine, and that's a very bad thing 339 00:20:16,680 --> 00:20:19,879 Speaker 3: for society because then you have people not trusting something 340 00:20:19,880 --> 00:20:20,800 Speaker 3: that they should trust. 341 00:20:21,440 --> 00:20:25,520 Speaker 1: What do you think would have happened if the you know, 342 00:20:25,600 --> 00:20:29,320 Speaker 1: the leading medical people that were shoved in front of 343 00:20:29,440 --> 00:20:35,320 Speaker 1: microphones at that time had have said, look, we don't know, 344 00:20:36,359 --> 00:20:39,640 Speaker 1: we don't which is the true. We don't actually know, 345 00:20:39,840 --> 00:20:42,879 Speaker 1: like we think this, we believe this, but we don't 346 00:20:42,960 --> 00:20:45,320 Speaker 1: unequivocally know because this is new. 347 00:20:46,160 --> 00:20:48,880 Speaker 3: The good thing is that there's actually a lived example 348 00:20:48,920 --> 00:20:52,280 Speaker 3: of a country that did exactly that, and that's Sweden. 349 00:20:52,920 --> 00:20:57,640 Speaker 3: So unlike every other country in Northern Europe, Sweden went 350 00:20:57,680 --> 00:21:00,760 Speaker 3: down a path of not doing lockdowns and not doing 351 00:21:00,880 --> 00:21:03,640 Speaker 3: vaccine mandates and all of that sort of thing, and 352 00:21:03,840 --> 00:21:06,880 Speaker 3: it essentially, you know, when it all boiled down at 353 00:21:06,920 --> 00:21:09,560 Speaker 3: the end of the day, years later, it worked out 354 00:21:09,600 --> 00:21:13,600 Speaker 3: that they had the same outcomes as everybody else. So 355 00:21:15,040 --> 00:21:17,400 Speaker 3: they didn't go through all the economic pain of lockdowns 356 00:21:17,440 --> 00:21:19,919 Speaker 3: and so on, and they didn't go through all of 357 00:21:19,920 --> 00:21:24,239 Speaker 3: those mandates, and they arrived in the same place. So 358 00:21:25,240 --> 00:21:27,680 Speaker 3: it's great to look at these things with twenty twenty hindsight. 359 00:21:27,920 --> 00:21:30,720 Speaker 3: It's different when you're in the heat of the world 360 00:21:30,800 --> 00:21:34,280 Speaker 3: health organization running around saying it's a deadly pandemic, et cetera, 361 00:21:34,320 --> 00:21:37,719 Speaker 3: et cetera. But one of the things that came out 362 00:21:38,000 --> 00:21:43,360 Speaker 3: of that review was in making pronouncements as if they 363 00:21:43,480 --> 00:21:48,560 Speaker 3: had evidence when they knew they didn't. People had a 364 00:21:48,680 --> 00:21:53,640 Speaker 3: sense of that and went along with it because of 365 00:21:53,880 --> 00:21:56,479 Speaker 3: fear and enforcement and so on or whatever it was. 366 00:21:56,840 --> 00:21:59,200 Speaker 3: But they still had an abiding sense that they were 367 00:21:59,200 --> 00:22:02,680 Speaker 3: being lied to. And we have as humans a good 368 00:22:02,720 --> 00:22:04,760 Speaker 3: sense of when we're being lied to, even if we 369 00:22:04,840 --> 00:22:07,760 Speaker 3: do nothing about it. We know when we're being lied 370 00:22:07,800 --> 00:22:10,240 Speaker 3: to by a politician or a leader, or a business 371 00:22:10,320 --> 00:22:13,600 Speaker 3: or whatever, and which is why it's so important. I mean, 372 00:22:13,760 --> 00:22:15,160 Speaker 3: one of the things I looked at in that article 373 00:22:15,240 --> 00:22:17,879 Speaker 3: was the recent thing with Woolworth's where they said, the 374 00:22:17,920 --> 00:22:20,520 Speaker 3: reason our profits have dropped is because customers no longer 375 00:22:20,560 --> 00:22:24,440 Speaker 3: trust us. They understand the importance of that. They understand 376 00:22:24,520 --> 00:22:27,280 Speaker 3: how important it is so much that they actively measure it. 377 00:22:27,640 --> 00:22:31,880 Speaker 3: They have internal metrics that tell them whether they are trusted, 378 00:22:33,359 --> 00:22:36,360 Speaker 3: and it's vitally important to them because it's vitally important 379 00:22:36,359 --> 00:22:39,240 Speaker 3: to their bottom line. They need us to trust them. 380 00:22:41,040 --> 00:22:45,159 Speaker 3: And so the interesting thing is that, Okay, when it 381 00:22:45,200 --> 00:22:48,080 Speaker 3: comes down to dollars and cents. People can be really 382 00:22:48,160 --> 00:22:51,119 Speaker 3: nakedly obvious about this and say, we've got to have trust, 383 00:22:51,200 --> 00:22:53,399 Speaker 3: as it's as an important a commodity in our business 384 00:22:53,400 --> 00:22:55,639 Speaker 3: as anything else. We've got to measure it, we've got 385 00:22:55,680 --> 00:22:59,200 Speaker 3: to make sure it's okay. And yet we have other 386 00:22:59,359 --> 00:23:02,640 Speaker 3: areas of us, our society, where it's freely being burned 387 00:23:03,680 --> 00:23:06,480 Speaker 3: and no one is either measuring it or caring about it. 388 00:23:06,680 --> 00:23:12,520 Speaker 3: But the consequences are starting to be felt where if 389 00:23:12,680 --> 00:23:15,479 Speaker 3: most people, if you ask them about their political opinion 390 00:23:15,520 --> 00:23:18,360 Speaker 3: about something, would say, I don't trust any of them. 391 00:23:18,680 --> 00:23:20,720 Speaker 3: I don't like any of them, I don't trust any 392 00:23:20,760 --> 00:23:22,680 Speaker 3: of them. I wish I had someone else to vote for. 393 00:23:24,800 --> 00:23:27,520 Speaker 3: And that is a symptom of what's going on. And 394 00:23:27,560 --> 00:23:29,760 Speaker 3: then the end result of that is what's going on 395 00:23:29,800 --> 00:23:32,800 Speaker 3: in the US at the moment, which is it's about 396 00:23:32,880 --> 00:23:35,679 Speaker 3: I hate them both. But this guy at least seems 397 00:23:35,720 --> 00:23:37,800 Speaker 3: to think that he can solve the problem and is 398 00:23:37,840 --> 00:23:42,639 Speaker 3: not promising more of the same. Yes, yes, and I 399 00:23:42,680 --> 00:23:44,480 Speaker 3: don't trust him anymore than trust the other guy, but 400 00:23:44,520 --> 00:23:46,040 Speaker 3: at least he's saying the right things. 401 00:23:46,359 --> 00:23:49,480 Speaker 1: Yeah, It's almost it's down to if you're going to 402 00:23:49,560 --> 00:23:52,639 Speaker 1: vote which over there? Of course it's optional. It's like 403 00:23:52,720 --> 00:23:56,800 Speaker 1: who do you hate the least? Or yeah, who are 404 00:23:56,800 --> 00:23:58,719 Speaker 1: you the least skeptical of all? 405 00:23:58,920 --> 00:24:00,920 Speaker 3: Look, we're trending to that here too. 406 00:24:01,640 --> 00:24:08,560 Speaker 1: Yeah, yeah, let's do one more topic before Tiff heads 407 00:24:08,560 --> 00:24:11,480 Speaker 1: off to get her new bloody pipe. Put on a motorbike. 408 00:24:12,560 --> 00:24:15,359 Speaker 1: If I hear a loud noise outside my house tonight, 409 00:24:15,440 --> 00:24:19,679 Speaker 1: echoing up and down Hampton Street at eleven PM, I was. 410 00:24:19,720 --> 00:24:23,320 Speaker 2: Actually thinking about driving that way home, just a little. 411 00:24:23,119 --> 00:24:25,480 Speaker 3: Rev little yeah, no, donet but a But it'd be 412 00:24:25,480 --> 00:24:27,480 Speaker 3: at three, wouldn't it three in the morning, wouldn't bet eleven? 413 00:24:27,960 --> 00:24:31,760 Speaker 2: I'm not up at three, silly eleven? 414 00:24:33,880 --> 00:24:39,000 Speaker 1: So you wrote you wrote an article called Plunging into Recovery? 415 00:24:39,080 --> 00:24:45,720 Speaker 1: Can ice barres rewire the addicted brain before you? Before 416 00:24:45,720 --> 00:24:48,359 Speaker 1: you open that door wide? Have you ever had an 417 00:24:48,400 --> 00:24:49,000 Speaker 1: ice bath? 418 00:24:49,160 --> 00:24:55,760 Speaker 3: Or I haven't, not intentionally, Not intentionally. I have occasionally 419 00:24:55,800 --> 00:24:57,800 Speaker 3: jumped into water that was a lot colder than I 420 00:24:57,840 --> 00:25:02,240 Speaker 3: thought it was. But one of the times I was 421 00:25:02,320 --> 00:25:05,240 Speaker 3: in Germany, and you know, the Germans I was staying with. 422 00:25:05,760 --> 00:25:08,280 Speaker 3: We're all leaping into this alpine lake, you know, as 423 00:25:08,280 --> 00:25:09,840 Speaker 3: if it was like a summer day at the beach, 424 00:25:09,880 --> 00:25:12,080 Speaker 3: and so I joined them, and I swear that was 425 00:25:12,160 --> 00:25:15,680 Speaker 3: just above freezing. That thing was, but they like it. 426 00:25:15,720 --> 00:25:19,080 Speaker 1: Was alpine and lake. Yeh, alpine and lake. 427 00:25:20,119 --> 00:25:25,760 Speaker 3: I should have thought I have done unintentional ice bath 428 00:25:26,000 --> 00:25:26,920 Speaker 3: like experiences. 429 00:25:27,000 --> 00:25:31,159 Speaker 1: Yes, yeah, we'll call that ice bass bath ish all right, 430 00:25:31,200 --> 00:25:33,919 Speaker 1: plugging into Recovery can And by the way, both of 431 00:25:33,960 --> 00:25:36,520 Speaker 1: these articles in the group. If you want to read 432 00:25:36,520 --> 00:25:42,440 Speaker 1: the actual full articles, you project podcast facebook page, tell 433 00:25:42,520 --> 00:25:45,320 Speaker 1: us about tell us about this one mate. 434 00:25:45,640 --> 00:25:49,200 Speaker 3: Okay, So this came up because I was doing a 435 00:25:49,240 --> 00:25:55,359 Speaker 3: talk to a group that are about helping people through addiction, 436 00:25:55,480 --> 00:25:58,119 Speaker 3: so a rehabit type group who were quite interested in 437 00:25:58,119 --> 00:26:01,320 Speaker 3: some of the things I've written, particularly in Brain Reset, 438 00:26:01,400 --> 00:26:04,679 Speaker 3: about how do you break addictions? And one of the 439 00:26:04,680 --> 00:26:08,880 Speaker 3: groups said, what do you think about ice baths? And honestly, 440 00:26:09,200 --> 00:26:11,359 Speaker 3: I never even thought of it as a way of 441 00:26:11,400 --> 00:26:13,560 Speaker 3: breaking an addiction, which is kind of ignorant of me. 442 00:26:14,840 --> 00:26:18,720 Speaker 3: So I immediately went away and started doing some fairly detailed 443 00:26:18,760 --> 00:26:21,640 Speaker 3: research into it and came to the conclusion that, look, 444 00:26:21,680 --> 00:26:26,120 Speaker 3: there is a strong chance that the shock produced by 445 00:26:26,720 --> 00:26:30,199 Speaker 3: an ice bath, because when you do that, it's a 446 00:26:30,280 --> 00:26:34,920 Speaker 3: terrifying experience for your body. There's a significant shock experience 447 00:26:34,960 --> 00:26:39,840 Speaker 3: associated with plunging yourself into an ice bath, and that 448 00:26:39,880 --> 00:26:43,920 Speaker 3: shock experience produces a significant hit of dopamine. And some 449 00:26:44,000 --> 00:26:46,960 Speaker 3: of the studies have said, look, we're talking two three 450 00:26:47,040 --> 00:26:50,879 Speaker 3: times as much dopamine in a single hit as you 451 00:26:50,880 --> 00:26:54,760 Speaker 3: would get from cocaine. This is a big hit of 452 00:26:54,800 --> 00:27:00,479 Speaker 3: dopamine and naturally produced by the body. Quite a lot 453 00:27:00,480 --> 00:27:03,040 Speaker 3: of studies have now looked at you know, there's lots 454 00:27:03,080 --> 00:27:05,160 Speaker 3: of purported benefits of ice baths. I even go into 455 00:27:05,200 --> 00:27:07,000 Speaker 3: all of that, but I did look at this dopamine 456 00:27:07,000 --> 00:27:10,720 Speaker 3: aspect because one of the best ways to naturally break 457 00:27:10,760 --> 00:27:13,440 Speaker 3: an addiction is to substitute. When you get the craving 458 00:27:13,480 --> 00:27:17,480 Speaker 3: for whatever it is you're addicted to substitute. Instead of 459 00:27:17,520 --> 00:27:20,080 Speaker 3: doing that, do something that produces a natural dopam mean hit. 460 00:27:20,200 --> 00:27:22,760 Speaker 3: Now we've talked about this before. That could be doing, 461 00:27:23,119 --> 00:27:25,600 Speaker 3: you know, running a marathon. It could be having a 462 00:27:25,640 --> 00:27:28,280 Speaker 3: hobby that thoroughly engrosses you could be playing a musical 463 00:27:28,320 --> 00:27:30,880 Speaker 3: instrument as long as you can play it well, it's 464 00:27:30,920 --> 00:27:34,199 Speaker 3: something that requires extreme focus and produces dopamine. Well, this 465 00:27:34,320 --> 00:27:36,480 Speaker 3: might be a shortcut to that. In what you might 466 00:27:36,520 --> 00:27:39,680 Speaker 3: be able to do is just go take a cold shower, which, 467 00:27:39,720 --> 00:27:43,320 Speaker 3: by the way, cold showers, while not producing as big 468 00:27:43,320 --> 00:27:46,919 Speaker 3: a hit as an actual ice bath, does produce a 469 00:27:46,960 --> 00:27:52,000 Speaker 3: dopamine hit too, And so an interesting piece of advice 470 00:27:52,080 --> 00:27:55,840 Speaker 3: might well be, when you feel the cravings, go take 471 00:27:55,840 --> 00:28:00,720 Speaker 3: a cold shower. And there's some good science behind this. Now, 472 00:28:00,760 --> 00:28:03,560 Speaker 3: there's some really good science that suggests that this might 473 00:28:03,720 --> 00:28:08,119 Speaker 3: be a reasonable path to take when you're trying to 474 00:28:08,160 --> 00:28:09,240 Speaker 3: rehab people. 475 00:28:10,560 --> 00:28:13,800 Speaker 1: Or if the other one would be get an aftermarket 476 00:28:13,840 --> 00:28:18,080 Speaker 1: exhaust on your motorbike. Yeah, that's per. 477 00:28:18,080 --> 00:28:20,000 Speaker 2: Ten out of ten can recommend. 478 00:28:21,280 --> 00:28:24,199 Speaker 3: And that's not as silly as it sounds. Just look 479 00:28:24,240 --> 00:28:27,560 Speaker 3: at the way Tips reacting to this thing, and she's 480 00:28:27,720 --> 00:28:29,840 Speaker 3: desperately excited to do it, and when it's on it, 481 00:28:29,880 --> 00:28:31,639 Speaker 3: when she hits that thing and it makes it the 482 00:28:31,720 --> 00:28:34,199 Speaker 3: really really loud noise, it is going to be like 483 00:28:34,280 --> 00:28:39,000 Speaker 3: having a hit of cocaine to her. And so, yeah, 484 00:28:39,240 --> 00:28:41,320 Speaker 3: find that thing that does that for you. But if 485 00:28:41,360 --> 00:28:43,400 Speaker 3: you're not sure what that is, if you're not like 486 00:28:43,480 --> 00:28:48,160 Speaker 3: Tiff and you're not excited by loud motorbikes, a cold 487 00:28:48,160 --> 00:28:49,000 Speaker 3: shower might do it. 488 00:28:49,880 --> 00:28:53,880 Speaker 1: Wow, if you could write a book called Motorbikes, Puppies 489 00:28:53,920 --> 00:28:59,960 Speaker 1: and Punching People and other addictions or other addiction treatment 490 00:29:01,680 --> 00:29:04,200 Speaker 1: and other dopamine producers by tip. 491 00:29:04,960 --> 00:29:09,080 Speaker 3: You just call it them, just call it the motorbike Cure. Yeah. 492 00:29:09,160 --> 00:29:10,880 Speaker 1: Do you know what is funny? I know we've got 493 00:29:10,880 --> 00:29:14,360 Speaker 1: to wind up. But what's funny is I've had a 494 00:29:14,440 --> 00:29:16,400 Speaker 1: bike since I was a kid, and I'll probably I've 495 00:29:16,440 --> 00:29:19,040 Speaker 1: taken over the years a lot of people on the back, 496 00:29:19,680 --> 00:29:22,640 Speaker 1: and depending on how they feel about going on the back, 497 00:29:23,240 --> 00:29:26,040 Speaker 1: they're either producing a shitload of dopamine or a shitload 498 00:29:26,080 --> 00:29:26,760 Speaker 1: of cortisol. 499 00:29:27,840 --> 00:29:30,840 Speaker 3: But same thing, no, no, same thing terror, being terrified, 500 00:29:31,240 --> 00:29:33,960 Speaker 3: being terrified, which is kind of what the ice bath 501 00:29:34,040 --> 00:29:38,520 Speaker 3: is doing to you. Being terrified produces a significant dopamine hit. 502 00:29:39,000 --> 00:29:43,320 Speaker 3: So if you want to scare yourself, then you can 503 00:29:43,360 --> 00:29:44,920 Speaker 3: do it with an ice bath. Or if you're not 504 00:29:44,960 --> 00:29:47,120 Speaker 3: into bikes, you know, I guess you could ride pinion 505 00:29:47,200 --> 00:29:48,120 Speaker 3: with Tiff. 506 00:29:48,440 --> 00:29:55,160 Speaker 1: Yeah, well, yeah, definitely don't do that or watch Yeah, 507 00:29:55,600 --> 00:29:59,240 Speaker 1: well you delivered again, mate, And next time we chat, 508 00:29:59,280 --> 00:30:02,120 Speaker 1: there'll be ah, there will be a new boss in 509 00:30:02,160 --> 00:30:06,680 Speaker 1: the White House. And yes, I so if you had 510 00:30:06,720 --> 00:30:10,360 Speaker 1: to make a prediction you at where we are right 511 00:30:10,400 --> 00:30:12,840 Speaker 1: now on Tuesday or Wednesday. 512 00:30:12,720 --> 00:30:14,560 Speaker 3: At where we are right now. And by the way, 513 00:30:14,600 --> 00:30:17,120 Speaker 3: I'm notoriously bad at predicting things like this, but at 514 00:30:17,160 --> 00:30:19,080 Speaker 3: where we are right now, it feels like it's a 515 00:30:19,080 --> 00:30:19,520 Speaker 3: Trump win. 516 00:30:20,200 --> 00:30:23,959 Speaker 1: Wow. That's well, we'll wait with breath. Tift, you want 517 00:30:24,000 --> 00:30:26,320 Speaker 1: to say something. You look like you're sticking your finger up. 518 00:30:26,680 --> 00:30:32,040 Speaker 2: Can we acknowledge Gilespo's strapping new profile photos? 519 00:30:32,320 --> 00:30:34,480 Speaker 3: Is that incredible? 520 00:30:37,840 --> 00:30:39,400 Speaker 2: Are you going to cup that on your website? Because 521 00:30:39,400 --> 00:30:41,800 Speaker 2: the first thing I did with freeschool dot org dot 522 00:30:41,880 --> 00:30:42,440 Speaker 2: are you and. 523 00:30:43,120 --> 00:30:47,520 Speaker 3: Have an updated it? I will have to do that. Yeah, yeah, 524 00:30:47,560 --> 00:30:51,120 Speaker 3: this is a this AI thing is incredible. You give it, 525 00:30:51,680 --> 00:30:54,360 Speaker 3: You give it like ten real photos of yourself and 526 00:30:54,440 --> 00:31:00,840 Speaker 3: obviously I gave it younger ones of me, and and 527 00:31:01,320 --> 00:31:04,560 Speaker 3: it produces like a hundred version. You can tell it 528 00:31:04,600 --> 00:31:07,360 Speaker 3: how you want to be dressed, whatever, and off you go. 529 00:31:08,240 --> 00:31:11,440 Speaker 1: Which program is that or which app is that? 530 00:31:11,880 --> 00:31:13,560 Speaker 3: Stuff? To find know, I'd have to send it to you, 531 00:31:14,360 --> 00:31:14,720 Speaker 3: all right. 532 00:31:14,800 --> 00:31:17,160 Speaker 1: Send it to you? All right, We'll say goodbye. Heare 533 00:31:17,200 --> 00:31:20,200 Speaker 1: but as always brilliant, Thank you mate, We appreciate you. 534 00:31:20,760 --> 00:31:22,160 Speaker 3: No worries. See you lady guys,