1 00:00:00,360 --> 00:00:04,240 Speaker 1: Great team. It's you project, David James, Kevin, Patrick Gillspian's 2 00:00:04,280 --> 00:00:07,680 Speaker 1: here as he is on a semi regular basis. Tiffany 3 00:00:07,720 --> 00:00:12,240 Speaker 1: and Mildred Malaria Cook is here in the. 4 00:00:12,600 --> 00:00:16,480 Speaker 2: Malaria Mildred or is that really your name? 5 00:00:17,200 --> 00:00:21,239 Speaker 1: That's her real No, that's so hurtful. David, Hi, Hi, 6 00:00:22,040 --> 00:00:26,000 Speaker 1: how are you? I'm fabulous? Thanks? How's your Monday gone? 7 00:00:26,120 --> 00:00:28,120 Speaker 1: Give us a quick snapshot? Oh, we know you bought 8 00:00:28,160 --> 00:00:30,000 Speaker 1: because you and I did a potty before. You bought 9 00:00:30,040 --> 00:00:32,280 Speaker 1: four new tires and you didn't get ripped. 10 00:00:33,159 --> 00:00:36,480 Speaker 2: Loved him some shining, got out for a stroll. 11 00:00:36,479 --> 00:00:38,640 Speaker 1: I've had a good monday. You've had a really good monday. 12 00:00:39,240 --> 00:00:41,919 Speaker 1: We're beautiful. I went down the beach and I put 13 00:00:41,960 --> 00:00:44,319 Speaker 1: my little toes in the sand, and then I put 14 00:00:44,400 --> 00:00:47,839 Speaker 1: my little calves, which are not that little, my significant 15 00:00:47,880 --> 00:00:51,800 Speaker 1: calves in the water in the water. How Good's just 16 00:00:51,840 --> 00:00:53,360 Speaker 1: getting in salt water a little bit? 17 00:00:53,680 --> 00:00:54,040 Speaker 2: Yeah? 18 00:00:54,240 --> 00:00:56,880 Speaker 1: Yeah, yeah, my body was happy. I went and sat 19 00:00:56,920 --> 00:01:01,920 Speaker 1: in the grass. There's something about connecting with nature. Yeah, 20 00:01:02,680 --> 00:01:05,640 Speaker 1: I reckon. David Gillespie'd be a big fan of grounding 21 00:01:05,680 --> 00:01:07,520 Speaker 1: tif you know where you take your shoes and socks 22 00:01:07,520 --> 00:01:09,240 Speaker 1: off and just get in the dirt and there's that 23 00:01:09,680 --> 00:01:13,319 Speaker 1: I reckon he'd be all over that. What he's got 24 00:01:13,360 --> 00:01:16,440 Speaker 1: to say. I don't know, that's bullshit. 25 00:01:16,440 --> 00:01:18,440 Speaker 2: I looked at it now, I know. I mean, you 26 00:01:18,440 --> 00:01:20,440 Speaker 2: know there's die Hard, the die Hard thing, you know 27 00:01:20,640 --> 00:01:22,880 Speaker 2: where you at the start of die Hard where the 28 00:01:22,880 --> 00:01:24,600 Speaker 2: guy sitting next to him on the plane says to 29 00:01:25,280 --> 00:01:28,000 Speaker 2: you know, when you get off the plane, scrunch your toes. 30 00:01:28,160 --> 00:01:29,600 Speaker 2: You're going to take your shoes off and scrunch your 31 00:01:29,640 --> 00:01:32,560 Speaker 2: toes in the carpet. Make you feel you know, make 32 00:01:32,600 --> 00:01:33,160 Speaker 2: you feel good. 33 00:01:34,000 --> 00:01:36,960 Speaker 1: What about those in that same kind of vein? I 34 00:01:36,959 --> 00:01:39,120 Speaker 1: shouldn't say what I'm about to say everyone, So if 35 00:01:39,160 --> 00:01:40,880 Speaker 1: you don't want to be offended, just come back in 36 00:01:40,920 --> 00:01:45,320 Speaker 1: thirty seconds. You've been warned. What about those people who 37 00:01:45,520 --> 00:01:49,880 Speaker 1: stick there and facing the sun? You know they I forget, 38 00:01:49,880 --> 00:01:53,120 Speaker 1: there's some kind of they get that kind of if 39 00:01:53,120 --> 00:01:55,040 Speaker 1: you've heard of this, haven't you Where people in the 40 00:01:55,040 --> 00:01:58,160 Speaker 1: morning they stick their bum up facing the sun to 41 00:01:58,200 --> 00:02:01,680 Speaker 1: get some kind of and the thirty second people are back, 42 00:02:01,720 --> 00:02:05,480 Speaker 1: you're welcome. I can't say I'm going to be doing 43 00:02:05,480 --> 00:02:08,920 Speaker 1: that anytime soon, especially in Magpie season. 44 00:02:12,280 --> 00:02:13,560 Speaker 2: What's it supposed to do for you. 45 00:02:14,240 --> 00:02:16,440 Speaker 1: Oh, I don't know, it's some you know, it's I 46 00:02:16,480 --> 00:02:18,720 Speaker 1: shouldn't say it's in that group. But there's a bunch 47 00:02:18,720 --> 00:02:22,000 Speaker 1: of people who, not a few, like quite a lot 48 00:02:22,000 --> 00:02:24,440 Speaker 1: of people who if maybe you can look up what's 49 00:02:24,440 --> 00:02:28,200 Speaker 1: see that, I reckon that David Ashbury would do that? Yeah, 50 00:02:28,240 --> 00:02:33,120 Speaker 1: probably maybe. Well he also David Asbury, who's a world 51 00:02:33,200 --> 00:02:36,240 Speaker 1: famous biohacker that you probably don't know of or need 52 00:02:36,280 --> 00:02:38,880 Speaker 1: to know of David. But one of the things he's 53 00:02:38,919 --> 00:02:43,560 Speaker 1: famous for is recommending people inject their own urine intramuscularly. 54 00:02:44,120 --> 00:02:49,480 Speaker 1: Oh yeah, yeah, and many other interesting and curious things. 55 00:02:49,600 --> 00:02:51,600 Speaker 1: I think he was one of the whether or not 56 00:02:51,720 --> 00:02:53,520 Speaker 1: that's a good or bad thing, but one of the 57 00:02:54,960 --> 00:02:59,079 Speaker 1: kind of ten, twelve, fifteen year ago early pioneers, if 58 00:02:59,080 --> 00:03:04,000 Speaker 1: that's a good thing of what they colloquially call biohacking. 59 00:03:04,120 --> 00:03:08,200 Speaker 1: But it's gaining I think it's gaining in some places 60 00:03:08,240 --> 00:03:11,200 Speaker 1: a little bit of credibility because what's his name, doctor 61 00:03:11,280 --> 00:03:14,160 Speaker 1: Jeff gross Tiff, you know, the one from Las Vegas 62 00:03:14,200 --> 00:03:16,560 Speaker 1: that we have on ye. I mean he's literally a 63 00:03:16,600 --> 00:03:20,119 Speaker 1: surgeon and a medical doctor and considers himself a biohacker. 64 00:03:20,200 --> 00:03:22,440 Speaker 1: So must be getting a little bit of something. 65 00:03:22,960 --> 00:03:26,600 Speaker 2: Really, I mean, a surgeon is the ultimate biohacker, aren't they. 66 00:03:26,919 --> 00:03:29,560 Speaker 2: I mean they're getting in there and chopping stuff up. 67 00:03:30,240 --> 00:03:35,680 Speaker 1: Well, I know another surgeon who he said to me, 68 00:03:35,920 --> 00:03:39,280 Speaker 1: don't get don't get back surgery unless there is no 69 00:03:39,400 --> 00:03:39,920 Speaker 1: other option. 70 00:03:41,880 --> 00:03:44,760 Speaker 2: Look, there's a lot of a lot of stuff, and 71 00:03:44,800 --> 00:03:49,440 Speaker 2: about the efficacy of a lot of orthopedic surgery, you know, 72 00:03:49,960 --> 00:03:51,840 Speaker 2: a lot of it seems to fall in the category 73 00:03:51,880 --> 00:03:54,320 Speaker 2: of doing it to make the surgeon rich and not 74 00:03:54,440 --> 00:03:58,840 Speaker 2: much else. You know, because the studies on whether or 75 00:03:58,920 --> 00:04:02,920 Speaker 2: not you know, knee operations and back operations and so on, 76 00:04:03,160 --> 00:04:06,920 Speaker 2: actually do anything pretty light on the ground. 77 00:04:07,880 --> 00:04:12,280 Speaker 1: Well. Dr cal Freed, who is a is a sports 78 00:04:12,280 --> 00:04:15,120 Speaker 1: physician in Melbourne, worked in the AFL system for a 79 00:04:15,160 --> 00:04:16,880 Speaker 1: very long time. Friend of mine, has been on the 80 00:04:16,880 --> 00:04:22,520 Speaker 1: show quite a few times. He is absolutely against any 81 00:04:22,600 --> 00:04:25,920 Speaker 1: surgery unless there's no other option. And of course there 82 00:04:25,960 --> 00:04:29,000 Speaker 1: are times when surgery is required, of course, but you know, 83 00:04:29,080 --> 00:04:32,840 Speaker 1: some people have a bit of a dodgyback surgery. It's like, no, no, 84 00:04:33,040 --> 00:04:35,479 Speaker 1: let's try these other seven things before we get to 85 00:04:35,520 --> 00:04:38,600 Speaker 1: the surgical option, which is not say, I mean, of course, 86 00:04:38,640 --> 00:04:40,839 Speaker 1: some surgery is life saving. Of course, we're not saying 87 00:04:40,839 --> 00:04:43,479 Speaker 1: all surgery is bad or surgeons are bad. We're just 88 00:04:43,520 --> 00:04:46,039 Speaker 1: saying maybe it should be. Maybe it should move down 89 00:04:46,080 --> 00:04:49,040 Speaker 1: the list a little bit and we'll particularly for orthopedics. 90 00:04:49,760 --> 00:04:53,640 Speaker 2: You know it should definitely do research on any orthopedic 91 00:04:53,680 --> 00:04:56,920 Speaker 2: operation for a chronic disease before you go that way, 92 00:04:57,040 --> 00:04:58,200 Speaker 2: I would suggest. 93 00:04:58,480 --> 00:05:01,640 Speaker 1: Now, speaking of all things medical, let me get my 94 00:05:01,680 --> 00:05:03,800 Speaker 1: little let me get a little my little specs out. 95 00:05:03,839 --> 00:05:07,160 Speaker 1: So in your substack tip, what are you laughing at? 96 00:05:07,520 --> 00:05:10,000 Speaker 1: And I look like fucking elma fud when I swapped 97 00:05:10,000 --> 00:05:13,000 Speaker 1: one pair of glasses for another pair of glasses. I'm 98 00:05:13,000 --> 00:05:15,200 Speaker 1: old as fuck now, so I don't care the rest 99 00:05:15,240 --> 00:05:16,719 Speaker 1: of you can make fun of me. You've got to 100 00:05:16,760 --> 00:05:18,680 Speaker 1: live as long as me first, so you can all 101 00:05:18,720 --> 00:05:21,839 Speaker 1: get rid of You've got to get to this age. 102 00:05:23,040 --> 00:05:25,080 Speaker 2: Lucky. You're not sensitive about it though, right. 103 00:05:25,080 --> 00:05:27,880 Speaker 1: No, not at all. I'm not sensitive at all. Back 104 00:05:27,920 --> 00:05:31,880 Speaker 1: in therapy for Jumbo and Invisible and Dangerous Overdose is 105 00:05:31,920 --> 00:05:36,200 Speaker 1: the name of an article that David wrote for that's 106 00:05:36,240 --> 00:05:40,360 Speaker 1: in substack in his little what's it called to game data? 107 00:05:41,600 --> 00:05:44,240 Speaker 1: Thank you? Thank you. Every day, millions of Australian women 108 00:05:45,320 --> 00:05:48,960 Speaker 1: consumer government mandated medication. They don't know, they don't know 109 00:05:49,000 --> 00:05:51,640 Speaker 1: they're taking. It's in their morning toast, their lunchtime sandwich. 110 00:05:51,640 --> 00:05:55,440 Speaker 1: They're fortified cereal and they're multi vitamin tablet. This medication, 111 00:05:55,720 --> 00:05:59,039 Speaker 1: folic acid vitamin B nine was introduced as a public 112 00:05:59,120 --> 00:06:03,080 Speaker 1: health miracle, simple way to protect unborn babies from devastating 113 00:06:03,120 --> 00:06:07,600 Speaker 1: birth defects. But a decade later, a startling picture is emerging. 114 00:06:08,000 --> 00:06:12,400 Speaker 2: Do tell Okay, So let's I want to preface this 115 00:06:12,600 --> 00:06:15,560 Speaker 2: by if there are any pregnant we're about to be 116 00:06:15,600 --> 00:06:21,000 Speaker 2: pregnant women listening. There is nothing wrong with taking FOLL 117 00:06:21,040 --> 00:06:26,479 Speaker 2: eight supplements. It is a undoubtedly a good thing to do. 118 00:06:27,680 --> 00:06:33,800 Speaker 2: The benefits in preventing spina bifitter and other brain formation 119 00:06:34,120 --> 00:06:39,040 Speaker 2: or birth defects associated with brain malformation are unequivocal. So 120 00:06:39,160 --> 00:06:42,520 Speaker 2: I don't want this segment to talk anyone out of that, 121 00:06:44,160 --> 00:06:46,320 Speaker 2: and I make that really really clear in the piece 122 00:06:46,360 --> 00:06:51,960 Speaker 2: as well. But there's an unintended consequence of MANDA, and 123 00:06:52,000 --> 00:06:54,839 Speaker 2: I guess what I'm talking about mostly in this piece 124 00:06:55,120 --> 00:06:57,440 Speaker 2: is mass medication, which I have a real problem with. 125 00:06:57,520 --> 00:07:00,680 Speaker 2: And we've talked before about fluoridation and very other things. 126 00:07:01,760 --> 00:07:04,960 Speaker 2: I'm not against the things that they're supposed to be fixing. 127 00:07:06,800 --> 00:07:11,360 Speaker 2: I am against mass medicating people without them knowing they're 128 00:07:11,360 --> 00:07:14,200 Speaker 2: being mass medicated. And we've talked before about some of 129 00:07:14,200 --> 00:07:17,680 Speaker 2: the other B vitamin's vitamin B six, for example, which 130 00:07:17,720 --> 00:07:22,160 Speaker 2: is added into magnesium tablets to make them absorbed more easily, 131 00:07:22,320 --> 00:07:25,440 Speaker 2: but can massively overdose you on vitamin B six in 132 00:07:25,480 --> 00:07:29,400 Speaker 2: a really dangerous fashion, just because you don't even know 133 00:07:29,400 --> 00:07:31,640 Speaker 2: you're taking it. You know, people would say I'm not 134 00:07:31,680 --> 00:07:35,119 Speaker 2: taking out at all, without realizing they're taking ten times 135 00:07:35,120 --> 00:07:40,400 Speaker 2: the daily dose just by taking magnesium tablets. This falls 136 00:07:40,480 --> 00:07:43,960 Speaker 2: into that category. So in two thousand and nine, the 137 00:07:44,000 --> 00:07:48,840 Speaker 2: Australian government mandated the vitamin B nine, or folic acid, 138 00:07:49,640 --> 00:07:54,000 Speaker 2: be added to all bread sold in Australia, all bread 139 00:07:54,240 --> 00:07:59,040 Speaker 2: and flour for making bread. So it is added in, 140 00:07:59,120 --> 00:08:02,320 Speaker 2: and it's added in a very specific level, which is 141 00:08:02,360 --> 00:08:07,040 Speaker 2: at one hundred and twenty micrograms per hundred grams. The 142 00:08:07,720 --> 00:08:12,080 Speaker 2: aim there was to prevent foliated deficiency in the population. Now, 143 00:08:12,160 --> 00:08:15,440 Speaker 2: we've never had a big problem foloid deficiency, but there 144 00:08:15,440 --> 00:08:18,960 Speaker 2: were some very convincing studies that said that if pregnant 145 00:08:19,000 --> 00:08:24,440 Speaker 2: women increase their folid intake to up to one thousand 146 00:08:24,960 --> 00:08:31,320 Speaker 2: micrograms per day. Then there was a significant reduction in 147 00:08:31,400 --> 00:08:34,800 Speaker 2: the chances of spina biffeter and a bunch of other 148 00:08:36,200 --> 00:08:40,880 Speaker 2: birth defects associated with the brain and spinal cord occurring. Now, 149 00:08:41,240 --> 00:08:44,360 Speaker 2: these things are pretty rare anyway, so a significant increase 150 00:08:44,360 --> 00:08:47,320 Speaker 2: in the probability or decrease in the probability. You don't 151 00:08:47,360 --> 00:08:49,800 Speaker 2: have to have change much to do that. But it 152 00:08:49,920 --> 00:08:53,079 Speaker 2: was clear on the evidence that if you increase foliated 153 00:08:53,120 --> 00:08:57,200 Speaker 2: supplementation during pregnancy you could reduce the rate of spina 154 00:08:57,240 --> 00:09:02,720 Speaker 2: biffeter and some other conditions equivocal. So the government said, right, well, 155 00:09:02,760 --> 00:09:04,960 Speaker 2: we're not taking any chances with this. We're going to 156 00:09:05,000 --> 00:09:08,120 Speaker 2: mandate this in the bread and so we're not going 157 00:09:08,160 --> 00:09:11,240 Speaker 2: to tell others to be to go and take foloated supplements, 158 00:09:11,280 --> 00:09:14,720 Speaker 2: although they do that as well. We're just going to 159 00:09:14,760 --> 00:09:17,360 Speaker 2: make sure if you ignore all health advice and you 160 00:09:17,440 --> 00:09:19,719 Speaker 2: ignore people telling you to take foloiated supplements and all 161 00:09:19,720 --> 00:09:23,440 Speaker 2: that sort of stuff, and you are pregnant, then you'll 162 00:09:23,440 --> 00:09:26,400 Speaker 2: be fine. And that's the thing of it. So it 163 00:09:26,400 --> 00:09:30,920 Speaker 2: happened in two thousand and nine. Great so far the 164 00:09:31,040 --> 00:09:35,800 Speaker 2: problem is that a very big study has just been released. 165 00:09:36,520 --> 00:09:43,200 Speaker 2: There's looked at a really interesting scientific experiment, which is 166 00:09:44,280 --> 00:09:47,760 Speaker 2: normally you can't do experiments on pregnant women. You know, ethics. 167 00:09:47,760 --> 00:09:51,040 Speaker 2: People have all sorts of problems. You know, I can 168 00:09:51,160 --> 00:09:53,280 Speaker 2: control group you're going to do something to in another 169 00:09:53,320 --> 00:09:55,400 Speaker 2: control and another group you're going to not do something to. 170 00:09:55,559 --> 00:09:58,320 Speaker 2: It's just there's all kinds of ethical problems with that. 171 00:09:58,480 --> 00:10:02,600 Speaker 2: So it's really tricky. But there was a natural experiment 172 00:10:02,600 --> 00:10:04,720 Speaker 2: that occurred in Australia in that there was a popular 173 00:10:04,800 --> 00:10:07,679 Speaker 2: there was a big study of pregnant women that was 174 00:10:07,800 --> 00:10:12,439 Speaker 2: where they recruited the population before the mandate, and another 175 00:10:12,480 --> 00:10:17,280 Speaker 2: big study the recruited from the same population after the 176 00:10:17,320 --> 00:10:20,240 Speaker 2: mandate ten years later. So there was a before two 177 00:10:20,240 --> 00:10:23,240 Speaker 2: thousand and nine and then ten years later, same group. 178 00:10:23,800 --> 00:10:27,000 Speaker 2: And so you've got a fantastic experiment there where you 179 00:10:27,040 --> 00:10:30,240 Speaker 2: can say, Okay, first of all, did it deliver the 180 00:10:30,280 --> 00:10:35,000 Speaker 2: promised benefits in spine and bifida. Answer unequivocally yes, they did. Okay, terrific. 181 00:10:35,320 --> 00:10:39,720 Speaker 2: But the other thing they noticed was a huge increase 182 00:10:40,440 --> 00:10:45,000 Speaker 2: and I'm talking a tripling of the rate of gestational 183 00:10:45,080 --> 00:10:47,880 Speaker 2: diabetes in the mothers. 184 00:10:48,760 --> 00:10:50,760 Speaker 1: Oh wow, oh wow. 185 00:10:51,480 --> 00:10:55,640 Speaker 2: So gestational diabetes is just is like type two diabetes, 186 00:10:55,679 --> 00:10:59,800 Speaker 2: but it's called gestational because it happens, you know, usually 187 00:11:00,280 --> 00:11:04,880 Speaker 2: first during pregnancy, and now all pregnant women get a 188 00:11:04,880 --> 00:11:09,560 Speaker 2: little bit insulent resistant. It's the nature of pregnancy. And 189 00:11:09,640 --> 00:11:14,520 Speaker 2: the reason for that is that evolution favors the baby, 190 00:11:15,600 --> 00:11:18,319 Speaker 2: and so the baby must be fed first. So if 191 00:11:18,320 --> 00:11:21,280 Speaker 2: you make the mother a little insulin resistant, then the 192 00:11:21,320 --> 00:11:25,560 Speaker 2: blood glucose is going to the baby first. So that's 193 00:11:25,600 --> 00:11:31,439 Speaker 2: all perfectly normal and perfectly by design. What they found though, 194 00:11:31,840 --> 00:11:36,319 Speaker 2: was that if you significantly overdose people on FOL eight, 195 00:11:36,480 --> 00:11:38,719 Speaker 2: if you go above that's what seems to be that 196 00:11:38,880 --> 00:11:42,200 Speaker 2: magical thousand micrograms today, by the way, the recommended doses 197 00:11:42,240 --> 00:11:46,000 Speaker 2: four to six hundred micrograms per day for a pregnant woman. 198 00:11:46,360 --> 00:11:48,840 Speaker 2: But there's this sort of goldilock zone that's between that 199 00:11:48,960 --> 00:11:51,560 Speaker 2: and a thousand, where as long as you're under the thousand, 200 00:11:51,600 --> 00:11:55,040 Speaker 2: you're okay. B But if you go above that and 201 00:11:55,080 --> 00:12:00,640 Speaker 2: significantly above that, then you significantly increase the likelihood that 202 00:12:00,679 --> 00:12:05,280 Speaker 2: the mother will experience gestational diabetes. So, in other words, 203 00:12:05,320 --> 00:12:08,880 Speaker 2: the mother will become a type two diabetic at least 204 00:12:08,920 --> 00:12:12,160 Speaker 2: during the pregnancy. And the studies also say that if 205 00:12:12,200 --> 00:12:15,280 Speaker 2: you're if you have a gestational diabetes, then you're much 206 00:12:15,360 --> 00:12:17,959 Speaker 2: much more likely to ultimately end up with type two 207 00:12:17,960 --> 00:12:20,400 Speaker 2: diabetes within a decade after the pregnancy. 208 00:12:21,160 --> 00:12:23,960 Speaker 1: Can I ask a quick ask a quick question just 209 00:12:24,000 --> 00:12:26,439 Speaker 1: to try to give this some context or meaning for 210 00:12:26,559 --> 00:12:29,839 Speaker 1: people going, you know, four to six hundred micrograms of 211 00:12:30,120 --> 00:12:32,440 Speaker 1: fole eight or up to a thousand, and it's in 212 00:12:32,480 --> 00:12:35,800 Speaker 1: the bread, and so people that are maybe I don't 213 00:12:35,840 --> 00:12:37,960 Speaker 1: know if you know the answer to this, but so 214 00:12:38,480 --> 00:12:41,280 Speaker 1: if somebody had, let's say, two pieces of bread that's 215 00:12:41,320 --> 00:12:45,040 Speaker 1: got FOL eight, you know it's been supplemented or what 216 00:12:45,080 --> 00:12:49,240 Speaker 1: do they call it fortified with fol eight? How much 217 00:12:49,800 --> 00:12:52,520 Speaker 1: like four to six hundred micrograms? What would two bits 218 00:12:52,520 --> 00:12:55,200 Speaker 1: of kind of regular bread have do you know. 219 00:12:56,080 --> 00:12:59,600 Speaker 2: Oh, well, that's two bits of bread is going to 220 00:12:59,600 --> 00:13:02,360 Speaker 2: be around two hundred grams. Mark in terms of bread, 221 00:13:02,559 --> 00:13:05,200 Speaker 2: it's one hundred and twenty. It's mandated to be one 222 00:13:05,240 --> 00:13:10,319 Speaker 2: hundred and twenty micrograms per hundred grams. Okay, so every 223 00:13:10,360 --> 00:13:12,640 Speaker 2: sandwich you have is going to be one hundred and 224 00:13:12,679 --> 00:13:16,200 Speaker 2: twenty micrograms. The problem is, and if that was the 225 00:13:16,200 --> 00:13:20,040 Speaker 2: only place it was. Then nobody be at any particular risk. 226 00:13:20,080 --> 00:13:22,720 Speaker 2: I suspected nobody's eating that much bread. I mean, unless 227 00:13:22,720 --> 00:13:25,360 Speaker 2: you're chowing die down on an entire loaf of bread. 228 00:13:26,800 --> 00:13:30,280 Speaker 2: You know, in a typical day, you're not going to 229 00:13:30,320 --> 00:13:32,719 Speaker 2: eat well, maybe you eat two, maybe four, maybe you 230 00:13:32,800 --> 00:13:35,720 Speaker 2: eat six pieces of bread, but you're still well involved 231 00:13:35,800 --> 00:13:40,440 Speaker 2: locks aren't. The problem is that, in addition to that, 232 00:13:40,720 --> 00:13:44,520 Speaker 2: women are also intentionally supplementing with filowed. So one of 233 00:13:44,520 --> 00:13:47,640 Speaker 2: the big pieces of medical advice that they're given is 234 00:13:47,679 --> 00:13:52,880 Speaker 2: to take foloid supplements before conception and during pregnancy, and 235 00:13:52,920 --> 00:13:57,120 Speaker 2: those tablets generally are around that recommended level, somewhere between 236 00:13:57,120 --> 00:14:00,000 Speaker 2: four hundred and six hundred micrograms. So that's that plus 237 00:14:00,120 --> 00:14:02,040 Speaker 2: one hundred and twenty and the two pieces of bread 238 00:14:02,360 --> 00:14:06,800 Speaker 2: plus a similar amount in a bowl of fortified cereals. 239 00:14:06,840 --> 00:14:11,640 Speaker 2: So most breakfast cereals are fortified with folate. Plus if 240 00:14:11,640 --> 00:14:14,240 Speaker 2: you take a multivitamin, then you can add another two 241 00:14:14,280 --> 00:14:17,640 Speaker 2: to four hundred micrograms on there as well. So, because 242 00:14:18,200 --> 00:14:22,160 Speaker 2: it's regarded as an unequivocally good thing, it's appearing in 243 00:14:22,240 --> 00:14:26,040 Speaker 2: lots of places. So there's the mandated thing in the bread. 244 00:14:26,400 --> 00:14:29,120 Speaker 2: But it's in lots of other places too. And what 245 00:14:29,160 --> 00:14:34,640 Speaker 2: the study found is that most Australian women had we're 246 00:14:34,720 --> 00:14:40,040 Speaker 2: now massively overdosing on folate. So between what they were 247 00:14:40,080 --> 00:14:43,720 Speaker 2: intentionally taking and what they're accidentally taking, they were taking 248 00:14:43,760 --> 00:14:49,440 Speaker 2: in a lot of folate and instead of the expected result, 249 00:14:49,480 --> 00:14:51,840 Speaker 2: which would be well, that doesn't really matter, it's no 250 00:14:51,880 --> 00:14:53,280 Speaker 2: such thing as too much of a good thing. Well, 251 00:14:53,280 --> 00:14:55,840 Speaker 2: in this case, it looks like there could be such 252 00:14:55,880 --> 00:14:58,920 Speaker 2: a thing as too much of a good thing. And 253 00:15:00,040 --> 00:15:04,800 Speaker 2: that's the concern. Now, you know, there's ways you can 254 00:15:04,840 --> 00:15:08,080 Speaker 2: criticize this study. You can you can say, okay, well 255 00:15:09,160 --> 00:15:12,920 Speaker 2: the population became more obese in that period of time, 256 00:15:14,880 --> 00:15:19,240 Speaker 2: that's definitely true, but it didn't become not sufficient to 257 00:15:19,320 --> 00:15:23,720 Speaker 2: explain a tripling of the rate of gestational diabetes where 258 00:15:23,800 --> 00:15:27,240 Speaker 2: we've gone from five percent of pregnant women having it 259 00:15:27,640 --> 00:15:32,880 Speaker 2: to fifteen percent of pregnant women having it, big jump 260 00:15:32,920 --> 00:15:33,560 Speaker 2: in a decade. 261 00:15:34,160 --> 00:15:38,440 Speaker 1: Less can I ask? So when in two thousand and 262 00:15:38,520 --> 00:15:43,040 Speaker 1: nine this became you know, mandated, or this just became 263 00:15:43,880 --> 00:15:47,640 Speaker 1: was well people made aware of this, like is this 264 00:15:47,680 --> 00:15:48,800 Speaker 1: government at the time. 265 00:15:49,080 --> 00:15:51,360 Speaker 2: I think at the time there was a fairly big 266 00:15:51,400 --> 00:15:53,880 Speaker 2: awareness campaign around it and you know why it was 267 00:15:53,960 --> 00:16:00,360 Speaker 2: being done, and everyone unequivocally agreed it was a good thing. Studies, 268 00:16:00,400 --> 00:16:04,200 Speaker 2: The studies on this are, you know, really clear pregnant 269 00:16:04,240 --> 00:16:08,040 Speaker 2: women should have folate, you know, prevention of spine of 270 00:16:08,120 --> 00:16:13,200 Speaker 2: if it is a massive, unequivocal benefit. The concern here 271 00:16:13,360 --> 00:16:20,280 Speaker 2: is that mass medicating always tends to have unintended consequences. 272 00:16:20,320 --> 00:16:23,080 Speaker 2: And what this study has done in a really precise 273 00:16:23,480 --> 00:16:28,200 Speaker 2: manner is and just because I'm lucky they had samples 274 00:16:28,240 --> 00:16:32,320 Speaker 2: from the same group before and after, has got into 275 00:16:32,360 --> 00:16:35,680 Speaker 2: the to answer the question, which is is it possible 276 00:16:35,680 --> 00:16:37,320 Speaker 2: to have too much of a good thing? And the 277 00:16:37,360 --> 00:16:41,200 Speaker 2: answer appears to be yes. So it's not I'm not 278 00:16:41,320 --> 00:16:44,040 Speaker 2: for a minute suggesting people shouldn't take folate or shouldn't 279 00:16:44,040 --> 00:16:46,840 Speaker 2: have followed supplementation. What I am suggesting is that they 280 00:16:46,880 --> 00:16:50,840 Speaker 2: should become an accountant of it. They should very carefully 281 00:16:51,160 --> 00:16:54,520 Speaker 2: pay attention to how much of it they are actually consuming. 282 00:16:55,520 --> 00:16:57,560 Speaker 1: And it's something we talk about, or we've talked about 283 00:16:57,600 --> 00:16:59,720 Speaker 1: a bit, you and I, but also more broadly on 284 00:16:59,760 --> 00:17:02,240 Speaker 1: the show, a lot is about the dose. It's like 285 00:17:02,840 --> 00:17:06,200 Speaker 1: anything exercise is great, but not seven hours a day. 286 00:17:06,600 --> 00:17:09,240 Speaker 1: You know what I mean, like drinking water is good, 287 00:17:09,240 --> 00:17:11,760 Speaker 1: but not seven liters a day. You know, it's like me. 288 00:17:12,280 --> 00:17:14,200 Speaker 2: But with both of those things, you're never going to 289 00:17:14,280 --> 00:17:17,960 Speaker 2: do it accidentally. You're never going to accidentally fall over 290 00:17:18,000 --> 00:17:22,840 Speaker 2: and find you've exercised seven hours a day. Where this 291 00:17:22,840 --> 00:17:26,840 Speaker 2: this you'll do without knowing about it. And that's the 292 00:17:26,920 --> 00:17:31,879 Speaker 2: concern is that this is in all the bread by 293 00:17:33,720 --> 00:17:36,360 Speaker 2: not by law, but it's there anyway. It's also in 294 00:17:36,440 --> 00:17:39,639 Speaker 2: most of the cereals, and it's creeping into many things 295 00:17:39,760 --> 00:17:43,000 Speaker 2: because people see it as a marketing thing. This is 296 00:17:43,200 --> 00:17:46,879 Speaker 2: you know, this contains folight and that helps sell things 297 00:17:46,920 --> 00:17:47,760 Speaker 2: to pregnant women. 298 00:17:48,359 --> 00:17:56,560 Speaker 1: M wow, well, I guess like people are. How do 299 00:17:56,600 --> 00:17:58,840 Speaker 1: you manage this? You just become more aware, I guess, 300 00:17:58,920 --> 00:17:59,400 Speaker 1: and you just. 301 00:17:59,560 --> 00:18:01,760 Speaker 2: Well, it's like that with B six and we had 302 00:18:01,760 --> 00:18:06,159 Speaker 2: this discussion before. I mean, it's know about it, be 303 00:18:06,280 --> 00:18:10,160 Speaker 2: aware of it, know about it, know how much you're consuming, 304 00:18:10,600 --> 00:18:15,119 Speaker 2: and be conscious of it. The the the science is 305 00:18:15,200 --> 00:18:17,680 Speaker 2: really clear that anything one hundred one thousand micrograms a 306 00:18:17,760 --> 00:18:23,600 Speaker 2: day is perfectly fine. It's it's easy to stay under 307 00:18:23,600 --> 00:18:26,480 Speaker 2: that as long as you're aware of it and still 308 00:18:26,480 --> 00:18:29,280 Speaker 2: take foiloight supplements. Just be aware. Okay, If I'm having 309 00:18:29,320 --> 00:18:31,199 Speaker 2: one hundred grams of bred thats one hundred and twenty grams. 310 00:18:31,320 --> 00:18:34,520 Speaker 2: If I'm having a breakfast cereal, there's there's some there. 311 00:18:34,720 --> 00:18:36,920 Speaker 2: If I'm having any other kind of supplement, I read 312 00:18:36,960 --> 00:18:40,119 Speaker 2: the label and I check how much folate is in 313 00:18:40,160 --> 00:18:40,800 Speaker 2: this supplement. 314 00:18:42,000 --> 00:18:44,639 Speaker 1: Is there a link to this article in your in 315 00:18:44,680 --> 00:18:46,560 Speaker 1: your article to the actual. 316 00:18:47,240 --> 00:18:50,320 Speaker 2: You always always always people, I can go and read 317 00:18:50,560 --> 00:18:51,959 Speaker 2: read the study. 318 00:18:51,920 --> 00:18:55,159 Speaker 1: If you want to go to David's article if you 319 00:18:55,200 --> 00:18:57,199 Speaker 1: want to actually look at the paper itself or the 320 00:18:57,240 --> 00:18:58,800 Speaker 1: research itself and the design. 321 00:18:58,800 --> 00:19:01,640 Speaker 2: And it's open access by way, so it's not one 322 00:19:01,640 --> 00:19:03,480 Speaker 2: of these ones that it's restricted. You can read the 323 00:19:04,040 --> 00:19:05,960 Speaker 2: whole paper. You can dig in as far as you 324 00:19:05,960 --> 00:19:09,080 Speaker 2: want to go. It's from the University of South Australia, 325 00:19:09,160 --> 00:19:13,360 Speaker 2: I think so. And very very recent twenty twenty five article. 326 00:19:13,720 --> 00:19:17,040 Speaker 1: Speaking of pregnant women and medical issues that are also 327 00:19:17,640 --> 00:19:21,479 Speaker 1: in the news recently, there's well I'll just segue into that, 328 00:19:21,560 --> 00:19:25,000 Speaker 1: but there's been another issue with the very common drug 329 00:19:25,080 --> 00:19:29,040 Speaker 1: that people have been talking about the dangers of pregnant 330 00:19:29,040 --> 00:19:29,720 Speaker 1: women using that. 331 00:19:30,560 --> 00:19:33,960 Speaker 2: Yeah. Well, in the United States, you know, about a 332 00:19:33,960 --> 00:19:39,000 Speaker 2: week ago the President looked up and the soupern leader 333 00:19:40,440 --> 00:19:43,479 Speaker 2: pronounced that til and old, which you know Australian listeners 334 00:19:43,560 --> 00:19:45,920 Speaker 2: might not be all that familiar with. But that's paracetamol 335 00:19:46,000 --> 00:19:50,640 Speaker 2: or panadol or a set of minifin as I mean. 336 00:19:50,960 --> 00:19:53,800 Speaker 2: Donald had a bit of a bit of trouble pronouncing 337 00:19:53,800 --> 00:19:56,040 Speaker 2: that one, but let's just call it panadol for the 338 00:19:56,040 --> 00:20:01,960 Speaker 2: purposes of this. So pronounced that pa at all causes autism. 339 00:20:03,440 --> 00:20:10,160 Speaker 2: Now that's just nonsense, that's just nonsense. But we have 340 00:20:10,280 --> 00:20:15,000 Speaker 2: the leader of the free world telling pregnant women to 341 00:20:15,240 --> 00:20:18,520 Speaker 2: avoid just about the only thing they're allowed to take 342 00:20:18,760 --> 00:20:23,359 Speaker 2: for pain relief during pregnancy, because mostly they're told to 343 00:20:23,440 --> 00:20:26,800 Speaker 2: avoid anything that is likely to actually relieve pain or 344 00:20:27,080 --> 00:20:30,760 Speaker 2: in any significant degree because of the potential dangers of it. 345 00:20:31,160 --> 00:20:37,560 Speaker 2: And he's basing this on a really flawed study that 346 00:20:37,760 --> 00:20:41,080 Speaker 2: was done well, I don't know if it was a 347 00:20:41,080 --> 00:20:44,440 Speaker 2: flawed study or just a flawed interpretation of it. There 348 00:20:44,480 --> 00:20:47,639 Speaker 2: has been a study of two and a half million 349 00:20:47,760 --> 00:20:51,320 Speaker 2: women in the Swedish birth registry, two and a half 350 00:20:51,440 --> 00:20:53,800 Speaker 2: men and children in the Swedish birth registry. The Swedes 351 00:20:53,800 --> 00:20:55,680 Speaker 2: are very very good at keeping these records and there 352 00:20:55,680 --> 00:21:00,480 Speaker 2: are lots of studies that come from these registries that look, 353 00:21:01,160 --> 00:21:07,000 Speaker 2: there's about a five percent association between a mother having 354 00:21:07,040 --> 00:21:12,679 Speaker 2: taken panidole during pregnancy and the incidents of autism. Now, 355 00:21:13,400 --> 00:21:16,760 Speaker 2: as you would be the first to shout there, you know, 356 00:21:16,840 --> 00:21:20,199 Speaker 2: correlation is not causation, and in this case, this is 357 00:21:20,680 --> 00:21:24,520 Speaker 2: real proof of it, because the thing you've got to 358 00:21:24,520 --> 00:21:27,520 Speaker 2: adjust for in these kinds of studies is why was 359 00:21:27,560 --> 00:21:31,720 Speaker 2: the mother taking panadol in the first place. Usually they're 360 00:21:31,760 --> 00:21:35,200 Speaker 2: not taking it because they like the taste. They're taking 361 00:21:35,240 --> 00:21:41,239 Speaker 2: it because they're suffering pain or fever during pregnancy, and 362 00:21:41,320 --> 00:21:46,520 Speaker 2: it could be that that's causing the association. But how 363 00:21:46,520 --> 00:21:49,040 Speaker 2: do you adjust for that. Well, when you've got two 364 00:21:49,040 --> 00:21:52,560 Speaker 2: and a half million children in a database, it's easy 365 00:21:52,560 --> 00:21:54,600 Speaker 2: to adjust for them because many mothers have more than 366 00:21:54,640 --> 00:21:58,280 Speaker 2: one child, and many of those mothers have one of 367 00:21:58,320 --> 00:22:01,480 Speaker 2: the children where they were taking kind of old during 368 00:22:01,480 --> 00:22:05,240 Speaker 2: pregnancy and another child where they weren't, And when you 369 00:22:05,359 --> 00:22:10,119 Speaker 2: compare those, it goes away entirely. There is no correlation 370 00:22:10,600 --> 00:22:15,600 Speaker 2: none whatsoever. And it's a big data set, so we 371 00:22:15,680 --> 00:22:20,440 Speaker 2: can be reasonably confident in it. So whoever is advising 372 00:22:20,480 --> 00:22:22,360 Speaker 2: Trump saw the first part of that. 373 00:22:22,840 --> 00:22:23,760 Speaker 1: I think it's our fk. 374 00:22:25,200 --> 00:22:28,159 Speaker 2: They saw the first part of that and left to 375 00:22:29,240 --> 00:22:34,600 Speaker 2: Thailand Old causes autism, which is sheer nonsense, as proven 376 00:22:35,119 --> 00:22:37,320 Speaker 2: by the second part of it, which says, when we 377 00:22:37,440 --> 00:22:42,399 Speaker 2: actually analyze the data properly, there's not even a correlation there. 378 00:22:42,880 --> 00:22:44,120 Speaker 2: There's just nothing. 379 00:22:46,119 --> 00:22:49,479 Speaker 1: It's like for me, it's like saying, you know two 380 00:22:49,560 --> 00:22:55,960 Speaker 1: and a half million children, and however, many millions of mums, 381 00:22:56,640 --> 00:22:59,240 Speaker 1: and of them, you know, fifteen percent of them because 382 00:22:59,280 --> 00:23:03,719 Speaker 1: of Sweden, fifteen percent of them drove Volvos. So so 383 00:23:04,600 --> 00:23:07,879 Speaker 1: fifteen percent and fifteen percent of the Volvo of the 384 00:23:07,920 --> 00:23:12,000 Speaker 1: women drove Volvos also had children with autism. That's a 385 00:23:12,040 --> 00:23:15,320 Speaker 1: three times the correlation of panadole. You know, I mean 386 00:23:15,400 --> 00:23:18,480 Speaker 1: that cause autism. That's the Volvo's cause autism. That could 387 00:23:18,480 --> 00:23:20,760 Speaker 1: be the name of the show, except I don't want 388 00:23:20,800 --> 00:23:24,560 Speaker 1: to get sued imagine that. 389 00:23:25,280 --> 00:23:29,720 Speaker 2: But that's it's a case study in correlation and causation. 390 00:23:30,440 --> 00:23:33,760 Speaker 2: It's an absolute case study. And it very rarely are 391 00:23:33,800 --> 00:23:38,640 Speaker 2: you able to sew quickly and easily debunk that correlation 392 00:23:39,560 --> 00:23:43,280 Speaker 2: well than in this circumstance. And yet you've now got 393 00:23:43,560 --> 00:23:49,520 Speaker 2: the US government telling pregnant women not to take, as 394 00:23:49,560 --> 00:23:52,320 Speaker 2: I said, just about the only thing they are allowed 395 00:23:52,320 --> 00:23:58,119 Speaker 2: to take for pain during pregnancy. And by the way, 396 00:23:58,240 --> 00:24:03,520 Speaker 2: this is not advice that's free from danger. Fever during 397 00:24:03,560 --> 00:24:11,480 Speaker 2: pregnancy is unequivocally dangerous for unborn children. Yes, and so 398 00:24:11,680 --> 00:24:14,639 Speaker 2: what you're saying to the population is tuffed out. Well. 399 00:24:14,680 --> 00:24:17,560 Speaker 2: In fact, those are the exact words that President Trump used, 400 00:24:17,920 --> 00:24:23,480 Speaker 2: tough it out to a pregnant woman, which is ridiculous. 401 00:24:24,000 --> 00:24:25,640 Speaker 1: How do we get to this how do we get 402 00:24:25,640 --> 00:24:28,440 Speaker 1: to this spot where Donald Trump's handing out medical advice. 403 00:24:30,200 --> 00:24:32,679 Speaker 1: Let's add odds with medical people. 404 00:24:35,280 --> 00:24:38,520 Speaker 2: People just anyone capable of reading a scientific study would 405 00:24:38,520 --> 00:24:44,520 Speaker 2: say that's nonsense. And it's so it is distressing and 406 00:24:44,720 --> 00:24:51,119 Speaker 2: should be, in my view, completely disregarded by anyone. H 407 00:24:52,080 --> 00:24:54,840 Speaker 2: And now, mind you, I've still got problems with panadol. 408 00:24:55,160 --> 00:24:58,159 Speaker 2: We've talked before about how it actually reduces empathy and 409 00:24:58,240 --> 00:24:58,600 Speaker 2: makes you. 410 00:24:58,560 --> 00:25:01,320 Speaker 1: More about yeah, yeah, yeah, yeah. 411 00:25:01,359 --> 00:25:03,840 Speaker 2: So those pregnant women, if they don't want to be 412 00:25:03,880 --> 00:25:09,040 Speaker 2: like psychopaths, should definitely avoid panadole. But if they're running 413 00:25:09,040 --> 00:25:14,520 Speaker 2: a fever, the risks associated with that are significantly greater 414 00:25:14,720 --> 00:25:17,880 Speaker 2: than the non existent risks of it causing autism. 415 00:25:18,359 --> 00:25:20,919 Speaker 1: And if you're wondering what David's talk about everyone, we 416 00:25:21,000 --> 00:25:25,080 Speaker 1: spoke probably a good year ago about there is actually 417 00:25:25,640 --> 00:25:29,879 Speaker 1: a relationship between people who use panadol or panadine or 418 00:25:29,920 --> 00:25:34,600 Speaker 1: whatever you call it, paracetamol and they're more likely to 419 00:25:34,640 --> 00:25:37,000 Speaker 1: be yeah, psychopaths or sociopaths or whatever. 420 00:25:37,040 --> 00:25:42,440 Speaker 2: That's well, it reduces measureable produces empathy. Yeah, and since 421 00:25:42,480 --> 00:25:46,119 Speaker 2: that's the core feature of psychopathy, for the four hours 422 00:25:46,200 --> 00:25:48,480 Speaker 2: or so that it's affecting you, you are likely to 423 00:25:48,520 --> 00:25:49,480 Speaker 2: be less empathetic. 424 00:25:50,560 --> 00:25:52,800 Speaker 1: I haven't paid much attention, but as there's been a 425 00:25:52,800 --> 00:25:57,879 Speaker 1: lot of pushback in the States to the Grand Medical 426 00:25:58,119 --> 00:26:01,480 Speaker 1: Chief Advisor, there has. 427 00:26:01,040 --> 00:26:07,040 Speaker 2: Been obviously anyone with any position at all of influence 428 00:26:07,080 --> 00:26:09,240 Speaker 2: has come out and said it essentially the same thing 429 00:26:09,240 --> 00:26:13,399 Speaker 2: I've just said. But I don't know how much traction 430 00:26:13,520 --> 00:26:17,640 Speaker 2: that gets in the United States now, logic doesn't seem 431 00:26:17,680 --> 00:26:21,040 Speaker 2: to play a large part in the way that some 432 00:26:21,080 --> 00:26:22,200 Speaker 2: people there are behaving. 433 00:26:23,680 --> 00:26:25,560 Speaker 1: I'd love to this as not for tonight, but I'd 434 00:26:25,640 --> 00:26:27,600 Speaker 1: love to do a chat with you one day about 435 00:26:27,680 --> 00:26:31,679 Speaker 1: just your observations on what's happening. I'm pretty sure that 436 00:26:31,720 --> 00:26:35,080 Speaker 1: would not be a thirty minute chat. But can I 437 00:26:35,160 --> 00:26:38,320 Speaker 1: ask you one question, not but a more global question. 438 00:26:38,359 --> 00:26:43,840 Speaker 1: I guess are you Are you worried about the state 439 00:26:43,880 --> 00:26:46,000 Speaker 1: of the world in terms of like where it just 440 00:26:46,000 --> 00:26:52,480 Speaker 1: seems to be like everybody screaming at everybody and extremism becoming. 441 00:26:52,480 --> 00:26:55,439 Speaker 1: I'm not talking about particular political this or religious that, 442 00:26:55,640 --> 00:26:58,040 Speaker 1: or but just I don't know. It just seems to 443 00:26:58,040 --> 00:27:00,000 Speaker 1: me like a global shouting match at the moment. 444 00:27:03,840 --> 00:27:06,560 Speaker 2: I'm a believer in history repeating itself, particularly when it 445 00:27:06,600 --> 00:27:14,919 Speaker 2: comes to social behaviors and social structures, and I believe 446 00:27:15,000 --> 00:27:17,760 Speaker 2: that we tend to go through a roughly eighty year 447 00:27:17,880 --> 00:27:24,320 Speaker 2: cycles of largely progressive behavior, which is everyone helping everyone else, 448 00:27:25,200 --> 00:27:30,200 Speaker 2: which gets pushed towards the edge where essentially it's the 449 00:27:30,320 --> 00:27:33,400 Speaker 2: rich get richer and the poor get poorer. We're in 450 00:27:33,440 --> 00:27:35,840 Speaker 2: that phase at the moment, right at the end of it. 451 00:27:36,600 --> 00:27:39,040 Speaker 2: The last time it happened was during the Gilded Age, 452 00:27:39,080 --> 00:27:43,640 Speaker 2: just before the Second World War, and I think there 453 00:27:43,640 --> 00:27:47,639 Speaker 2: are some real lessons to be learned about how society 454 00:27:47,680 --> 00:27:51,360 Speaker 2: looked then and how the Second World War solved it. 455 00:27:53,040 --> 00:27:57,879 Speaker 2: And the probably horrible prediction that that leads us to, 456 00:27:58,000 --> 00:27:59,840 Speaker 2: which is that the only thing that's going to fix 457 00:27:59,880 --> 00:28:05,080 Speaker 2: it this time round is a significant disaster. So that's 458 00:28:05,080 --> 00:28:08,960 Speaker 2: a fairly pessimistic look at the world. But that's my 459 00:28:09,080 --> 00:28:11,840 Speaker 2: fear at the moment. And I'm currently just for fun 460 00:28:12,119 --> 00:28:14,280 Speaker 2: doing a lot of reading about the Gilded Age and 461 00:28:14,760 --> 00:28:17,720 Speaker 2: we'll probably write something about it at some point, of course. 462 00:28:17,760 --> 00:28:21,280 Speaker 1: You will. Toys fun chatting to you mate, Thank you 463 00:28:21,359 --> 00:28:25,160 Speaker 1: for jumping on a Monday night that you don't normally do. 464 00:28:26,600 --> 00:28:26,959 Speaker 2: Pleasure. 465 00:28:27,440 --> 00:28:30,760 Speaker 1: We'll say goodbye fair but thanks again, David. Yeah, loads 466 00:28:30,800 --> 00:28:32,800 Speaker 1: of fun see ye, Thanks TIV, Thanks Tip,