1 00:00:00,720 --> 00:00:03,480 Speaker 1: I'll get a team. It's Jumpbo, It's Fatty harps at 2 00:00:03,480 --> 00:00:07,360 Speaker 1: s Tiffany and Cook. It's it's Golespo with someone else's 3 00:00:07,440 --> 00:00:10,840 Speaker 1: name on his screen up there in sunny Buddy, Queensland. 4 00:00:11,880 --> 00:00:14,720 Speaker 1: Does somebody know that you are masquerading as them? David? 5 00:00:16,440 --> 00:00:19,320 Speaker 2: She probably doesn't, but I should probably fix that at 6 00:00:19,320 --> 00:00:20,520 Speaker 2: some point if I could be bothered. 7 00:00:21,239 --> 00:00:22,919 Speaker 1: Yeah, all right, we know who you are. That's the 8 00:00:22,960 --> 00:00:27,360 Speaker 1: main thing. And listeners, who are Yeah? Good tis TIFFs 9 00:00:27,400 --> 00:00:32,920 Speaker 1: still in the thriving metropolis of Devonport. How is? 10 00:00:33,320 --> 00:00:36,800 Speaker 2: How is? How is? You know? 11 00:00:37,000 --> 00:00:40,360 Speaker 3: It's so chill here? Right that I was walking with 12 00:00:40,400 --> 00:00:42,159 Speaker 3: my friend. I went for lunch with my friend and 13 00:00:42,200 --> 00:00:44,519 Speaker 3: we were doing a walk around the Don River railway 14 00:00:44,560 --> 00:00:47,360 Speaker 3: track and I was like, gee, there's a there's a 15 00:00:47,400 --> 00:00:50,440 Speaker 3: fire over there. It's on fire, like I hope it's 16 00:00:50,479 --> 00:00:53,920 Speaker 3: not big, and it was big, and my mate is 17 00:00:54,000 --> 00:00:56,920 Speaker 3: just like, just it looks like it's over the hill. 18 00:00:57,000 --> 00:01:01,800 Speaker 3: I'm like, well, it's still fire. I think it's a fire, like, 19 00:01:01,880 --> 00:01:03,920 Speaker 3: I think it's a big bush fire. I hope that 20 00:01:04,160 --> 00:01:06,680 Speaker 3: someone's called the fire regrade. And she was so I'm like, 21 00:01:07,200 --> 00:01:08,720 Speaker 3: why are you so chill? 22 00:01:08,959 --> 00:01:09,039 Speaker 2: Like? 23 00:01:09,200 --> 00:01:11,160 Speaker 3: That is a fire, And then an hour later when 24 00:01:11,200 --> 00:01:13,880 Speaker 3: she got home, she sent me an article that there 25 00:01:13,959 --> 00:01:17,240 Speaker 3: was a bushfire that one of the sparks from the 26 00:01:17,240 --> 00:01:20,520 Speaker 3: steam train said a bushfire. So it's very chill here. 27 00:01:20,600 --> 00:01:22,480 Speaker 3: Fair to say, well. 28 00:01:22,400 --> 00:01:24,800 Speaker 1: You don't want to worry too, you know other people 29 00:01:24,800 --> 00:01:28,920 Speaker 1: will do that for you. How was your granddad's one 30 00:01:29,000 --> 00:01:31,000 Speaker 1: hundred and month birthday? 31 00:01:31,440 --> 00:01:33,720 Speaker 3: So good? Is I say? One hundred and month too? 32 00:01:33,920 --> 00:01:36,640 Speaker 3: It's hard to get that that was so good? How 33 00:01:36,680 --> 00:01:37,160 Speaker 3: good is he? 34 00:01:39,120 --> 00:01:41,680 Speaker 1: Do you know what? I was looking at that video 35 00:01:41,760 --> 00:01:45,560 Speaker 1: of him today where you were interviewing him. My dad's 36 00:01:45,600 --> 00:01:48,920 Speaker 1: eighty five. Don't tell anyone this, I mean, don't tell 37 00:01:49,040 --> 00:01:52,760 Speaker 1: Ron this anyone, but hell, I reckon, I reckon. Frank 38 00:01:52,880 --> 00:01:56,000 Speaker 1: might almost have Ron covered. Frank's sharp is a tap. 39 00:01:56,440 --> 00:01:57,600 Speaker 3: He's pretty good. 40 00:01:58,200 --> 00:02:02,480 Speaker 1: He's so, I mean for one hundred and one. I mean, 41 00:02:02,480 --> 00:02:05,720 Speaker 1: he holds a conversation, He's talking about interesting stuff. He's 42 00:02:05,720 --> 00:02:09,320 Speaker 1: got a really good memory. He's reflecting on like school 43 00:02:09,360 --> 00:02:13,000 Speaker 1: and his childhood, which was I mean nineteen twenty four. 44 00:02:13,360 --> 00:02:17,239 Speaker 1: Fucking hell, who was born in nineteen twenty four. It's amazing. 45 00:02:17,680 --> 00:02:22,440 Speaker 1: It's like his level of sharpness and cognitive function and 46 00:02:22,520 --> 00:02:25,320 Speaker 1: even he just I mean, he looks like he's a 47 00:02:25,360 --> 00:02:28,760 Speaker 1: healthy eighty. He does not look at it is. It's incredible. 48 00:02:29,000 --> 00:02:30,799 Speaker 3: I'm going to show gilespo. 49 00:02:30,440 --> 00:02:34,440 Speaker 4: Although you've got to be careful, you know, because of 50 00:02:34,480 --> 00:02:37,880 Speaker 4: the whole Blue zones thing, right, because you know how 51 00:02:37,919 --> 00:02:40,640 Speaker 4: that you know how they had those blue zones where 52 00:02:41,040 --> 00:02:41,840 Speaker 4: you know, you're supposed to. 53 00:02:41,800 --> 00:02:45,200 Speaker 2: Be really really Oh there he is. Yeah, it looks fabulous. 54 00:02:45,840 --> 00:02:47,960 Speaker 2: Now I'm not saying this applies to him, but you 55 00:02:48,000 --> 00:02:50,560 Speaker 2: know that how they said, oh, there's these blue zones 56 00:02:50,560 --> 00:02:53,000 Speaker 2: around the world where there's people who live well over 57 00:02:53,040 --> 00:02:56,520 Speaker 2: one hundred and and you know, they're always really really healthy. 58 00:02:56,560 --> 00:02:57,959 Speaker 2: And they did all that. There's some bloke made a 59 00:02:57,960 --> 00:03:01,080 Speaker 2: lot of money out of making a diead out of 60 00:03:01,560 --> 00:03:03,800 Speaker 2: what people ate in these buzzone so it's sort of 61 00:03:04,080 --> 00:03:08,800 Speaker 2: ok an Hour and Lover, you know, in California and 62 00:03:08,800 --> 00:03:11,800 Speaker 2: all that sort of thing. And they found when they 63 00:03:11,800 --> 00:03:14,200 Speaker 2: did an analysis of it that a big part of 64 00:03:14,280 --> 00:03:17,920 Speaker 2: why they were over one hundred years old is no 65 00:03:17,960 --> 00:03:22,000 Speaker 2: one was really quite sure when they were born. So 66 00:03:22,440 --> 00:03:27,120 Speaker 2: they are often places that didn't have great records. And 67 00:03:27,320 --> 00:03:30,600 Speaker 2: so is how old's top? Wow, Well, look he's at 68 00:03:30,680 --> 00:03:34,520 Speaker 2: least ninety you know, and no one really knew. And 69 00:03:34,639 --> 00:03:37,200 Speaker 2: so when they really analyzed it and started to look 70 00:03:37,240 --> 00:03:40,680 Speaker 2: at what were the records of these places, there was 71 00:03:40,680 --> 00:03:43,880 Speaker 2: a significant number of these people who no one really 72 00:03:43,920 --> 00:03:45,120 Speaker 2: was sure that they were over one hundred. 73 00:03:45,920 --> 00:03:48,040 Speaker 1: I saw a lady talking about this very thing the 74 00:03:48,160 --> 00:03:51,880 Speaker 1: other day. I'm on one of the plethora of bloody 75 00:03:51,960 --> 00:03:55,160 Speaker 1: videos that get sent to me, and she was also 76 00:03:55,360 --> 00:04:00,760 Speaker 1: saying that people were dying but it wasn't being recorded anywhere. So, yes, 77 00:04:01,200 --> 00:04:05,800 Speaker 1: people who died at seventy two, but that wasn't recorded. 78 00:04:05,840 --> 00:04:07,920 Speaker 1: And now if they were still alive, that'd be one 79 00:04:08,000 --> 00:04:12,880 Speaker 1: hundred and six. But efficiently they're still alive, but literally 80 00:04:12,920 --> 00:04:13,400 Speaker 1: they ain't. 81 00:04:14,600 --> 00:04:18,359 Speaker 2: And sometimes their son or something is still alive and 82 00:04:18,400 --> 00:04:22,880 Speaker 2: everyone just starts referring to them as the person who died. Yes. Yeah, 83 00:04:23,360 --> 00:04:25,000 Speaker 2: and there's often a lot of good reasons for not 84 00:04:25,040 --> 00:04:27,240 Speaker 2: declaring that someone's died, you know, like picking up the 85 00:04:27,240 --> 00:04:31,919 Speaker 2: Social Security check and all that sort of thing. So yeah, 86 00:04:31,960 --> 00:04:36,039 Speaker 2: so accuracies, yes, yes. 87 00:04:36,640 --> 00:04:40,200 Speaker 1: I wonder. Yeah, well, that's going to put a big 88 00:04:40,200 --> 00:04:43,960 Speaker 1: hole in quite a few people's theories. I think of 89 00:04:44,040 --> 00:04:48,000 Speaker 1: longevity and health and the correlation between the blue zones 90 00:04:49,040 --> 00:04:50,800 Speaker 1: and all the other stuff allegedly. 91 00:04:51,200 --> 00:04:53,200 Speaker 2: Yeah, well, you know, you can eat cucumbers for us 92 00:04:53,240 --> 00:04:55,240 Speaker 2: of your life. I think that's one of them. Or 93 00:04:55,960 --> 00:04:58,440 Speaker 2: you could just maybe check if you could find a 94 00:04:58,480 --> 00:04:59,839 Speaker 2: birth certificate for that person. 95 00:05:00,640 --> 00:05:05,160 Speaker 1: You could. But speaking of health, we're talking about a 96 00:05:05,279 --> 00:05:13,279 Speaker 1: much demonized, much marginalized food, maybe the simplest food of 97 00:05:13,320 --> 00:05:17,880 Speaker 1: all time, the humble egg is it's making a resurgence 98 00:05:18,680 --> 00:05:24,320 Speaker 1: after being well the wilderness, the nutritional wilderness for decades. 99 00:05:24,920 --> 00:05:27,680 Speaker 2: That's right, you know, the wondrous people to whom we 100 00:05:28,200 --> 00:05:32,400 Speaker 2: trust all of our welfare, you know, the dietitians and 101 00:05:32,480 --> 00:05:37,320 Speaker 2: nutritionness of the world have for very many decades since 102 00:05:38,000 --> 00:05:41,560 Speaker 2: well pretty much since nineteen sixty eight, told us that 103 00:05:41,600 --> 00:05:46,480 Speaker 2: we shouldn't be consuming eggs now. I mean, Tift's too 104 00:05:46,480 --> 00:05:49,160 Speaker 2: young to remember this, but you probably remember being told 105 00:05:49,200 --> 00:05:51,919 Speaker 2: that when you were growing up, Craig, that you know, 106 00:05:51,960 --> 00:05:54,200 Speaker 2: you've got to avoid the eggs. You've got to got 107 00:05:54,240 --> 00:05:55,720 Speaker 2: to have the you know, you've got to have the 108 00:05:55,720 --> 00:05:59,280 Speaker 2: egg white omelet. You can't have an actual omelet. You can't. 109 00:05:59,320 --> 00:06:01,080 Speaker 2: It can't be eating the yolk of the egg. It's 110 00:06:01,120 --> 00:06:04,720 Speaker 2: full of cholesterol. It will kill you stone dead in seconds. 111 00:06:05,200 --> 00:06:07,520 Speaker 1: Yeah, well, I grew up in the country, soide didn't 112 00:06:07,520 --> 00:06:10,120 Speaker 1: get that message. And also, our best friends aren't the 113 00:06:10,160 --> 00:06:12,640 Speaker 1: biggest poultry farm in Australia, so I ate all the 114 00:06:12,680 --> 00:06:15,520 Speaker 1: fucking eggs I could get. But I will tell you 115 00:06:15,520 --> 00:06:16,120 Speaker 1: a quick thing. 116 00:06:16,200 --> 00:06:17,599 Speaker 2: Yeah, but you would have been unusual. 117 00:06:18,400 --> 00:06:21,440 Speaker 1: Yeah I was. I was the exception in the city. Yeah, 118 00:06:21,640 --> 00:06:25,000 Speaker 1: but that message when I when I finally at the 119 00:06:25,080 --> 00:06:27,479 Speaker 1: ripe pot age of Ada and started working in gyms, 120 00:06:27,839 --> 00:06:30,280 Speaker 1: which was still only nineteen eighty two, so still a 121 00:06:30,320 --> 00:06:36,560 Speaker 1: long time ago, the eggs are bad message had proliferated 122 00:06:36,720 --> 00:06:39,800 Speaker 1: well and truly. But when I was eighteen, I was 123 00:06:39,800 --> 00:06:42,440 Speaker 1: a bodybuilder and all I wanted to do was be 124 00:06:42,560 --> 00:06:44,720 Speaker 1: big because you know, I had a lot of emotional 125 00:06:44,800 --> 00:06:48,400 Speaker 1: and psychological issues obviously still there, just hide them better. 126 00:06:48,440 --> 00:06:50,719 Speaker 1: But one of the people are not going to believe this. 127 00:06:51,160 --> 00:06:53,520 Speaker 1: I used to eat a dozen eggs a day every day. 128 00:06:54,600 --> 00:06:57,200 Speaker 1: I would eat a dozen eggs a day for a 129 00:06:57,240 --> 00:07:00,719 Speaker 1: couple of years, and my cholesterol was not high. Now everyone, 130 00:07:00,800 --> 00:07:04,760 Speaker 1: that's not a recommendation, but that's yeah, that was my 131 00:07:04,839 --> 00:07:05,679 Speaker 1: s Well, I don't. 132 00:07:05,520 --> 00:07:09,279 Speaker 2: Know, you're still alive. And that kind of is a 133 00:07:09,320 --> 00:07:12,240 Speaker 2: neat segue through to this recent study. So in the 134 00:07:12,320 --> 00:07:16,480 Speaker 2: last week Monash University put out a study. It's quite 135 00:07:16,480 --> 00:07:21,920 Speaker 2: a significant study, well conducted, quite large, looking into this 136 00:07:21,960 --> 00:07:26,000 Speaker 2: whole question of is there actually any problem with consuming 137 00:07:26,080 --> 00:07:29,840 Speaker 2: eggs now, you know, because I guess their nutritionness and 138 00:07:29,880 --> 00:07:31,920 Speaker 2: so on. There up a range was that they were 139 00:07:31,920 --> 00:07:34,760 Speaker 2: looking at people who had one egg a day, but 140 00:07:35,240 --> 00:07:37,360 Speaker 2: that's a long way from what we've been being told, 141 00:07:37,360 --> 00:07:38,920 Speaker 2: which is, you know, you should probably have one egg 142 00:07:38,960 --> 00:07:43,720 Speaker 2: in your entire lifetime. And they were looking at those 143 00:07:43,760 --> 00:07:46,640 Speaker 2: people and comparing them to people who had one egg 144 00:07:46,680 --> 00:07:50,880 Speaker 2: a week and looking at their you know, are they 145 00:07:50,880 --> 00:07:53,120 Speaker 2: more or less likely to die from heart disease? Are 146 00:07:53,120 --> 00:07:55,120 Speaker 2: they more or less likely to die from anything else? 147 00:07:55,680 --> 00:07:58,440 Speaker 2: What they found is that they had a fifteen percent 148 00:07:59,320 --> 00:08:05,640 Speaker 2: lower risk of death from any cause, so anything cancer 149 00:08:06,440 --> 00:08:08,880 Speaker 2: or accident. I guess. I don't know how the eggs 150 00:08:08,920 --> 00:08:12,400 Speaker 2: helt there, but fifteen percent lower from any cause and 151 00:08:12,440 --> 00:08:18,080 Speaker 2: twenty nine percent lower by heart disease. So the people 152 00:08:18,280 --> 00:08:22,920 Speaker 2: having an egger day had an almost one third better 153 00:08:23,040 --> 00:08:27,080 Speaker 2: chance of surviving and not dying of a heart attack 154 00:08:27,680 --> 00:08:32,720 Speaker 2: than the people who were following the nutritional guidance. And 155 00:08:32,760 --> 00:08:35,600 Speaker 2: that says something to you about the nutritional guidance. 156 00:08:37,520 --> 00:08:40,560 Speaker 1: So what was the though one of the things origin 157 00:08:40,679 --> 00:08:41,840 Speaker 1: story of that. 158 00:08:44,080 --> 00:08:47,920 Speaker 2: Yeah, So where it came from is in the in 159 00:08:47,960 --> 00:08:53,480 Speaker 2: the nineteen late nineteen sixties, the nutritional and medical fraternity 160 00:08:53,520 --> 00:08:56,440 Speaker 2: became obsessed with cholesterol. And it's a bit of the 161 00:08:56,480 --> 00:08:59,400 Speaker 2: old story about it was pretty much the only thing 162 00:08:59,400 --> 00:09:02,760 Speaker 2: that could meet in anyone's blood at that time. And 163 00:09:02,840 --> 00:09:04,680 Speaker 2: you know, when the only tool you've got is a hammer, 164 00:09:04,760 --> 00:09:09,000 Speaker 2: then everything looks like a nail. And so it was 165 00:09:09,080 --> 00:09:13,200 Speaker 2: nailed with the cause of heart disease. Heart disease rates 166 00:09:13,240 --> 00:09:15,400 Speaker 2: were going through the roof in the late nineteen sixties, 167 00:09:16,559 --> 00:09:19,120 Speaker 2: and there were all sorts of wild theories about why, 168 00:09:20,160 --> 00:09:22,120 Speaker 2: propagated by I think we talked about it a few 169 00:09:22,120 --> 00:09:27,480 Speaker 2: weeks ago Alan Keyes, who came up with his famous 170 00:09:27,480 --> 00:09:31,120 Speaker 2: seven country study where he studied twenty two countries, found 171 00:09:31,160 --> 00:09:34,600 Speaker 2: the seven that matched his theory and ditched the rest. Well, 172 00:09:34,720 --> 00:09:38,880 Speaker 2: part of his theory was that saturated fat and cholesterol 173 00:09:39,040 --> 00:09:43,800 Speaker 2: are what caused heart disease. Now it subsequently pretty much 174 00:09:43,880 --> 00:09:47,120 Speaker 2: nailed down that. That's a lot of garbage, but we 175 00:09:47,160 --> 00:09:49,760 Speaker 2: still have the Heart Foundation and dieticians still pumping out 176 00:09:49,760 --> 00:09:53,000 Speaker 2: that message. They're finding it harder and harder and harder though, 177 00:09:53,640 --> 00:09:56,200 Speaker 2: to pin eggs with it. And this causes a bit 178 00:09:56,200 --> 00:09:59,360 Speaker 2: of a problem because eggs are full of cholesterol. You know, 179 00:09:59,720 --> 00:10:02,439 Speaker 2: if you wanted to eat a bunch of cholesterol, pretty 180 00:10:02,520 --> 00:10:04,240 Speaker 2: much the only way you'd do better than an egg 181 00:10:04,280 --> 00:10:07,880 Speaker 2: would be eating a prawn, which is pretty much the 182 00:10:07,920 --> 00:10:10,360 Speaker 2: only higher cholesterol food than an egg, Graham for Graham. 183 00:10:10,840 --> 00:10:14,800 Speaker 2: And the difficulty is that now they're having to backtrack 184 00:10:14,880 --> 00:10:19,920 Speaker 2: on that but still maintain the cholesterol is bad message 185 00:10:19,960 --> 00:10:25,040 Speaker 2: because it underpins the recommendations they have about telling us 186 00:10:25,080 --> 00:10:30,360 Speaker 2: to eat cholesterol lowering margarines and to take statins to 187 00:10:30,440 --> 00:10:33,280 Speaker 2: lower our cholesterol and all that sort of thing. And 188 00:10:33,280 --> 00:10:35,040 Speaker 2: then at the same time they've also got to tell 189 00:10:35,120 --> 00:10:37,160 Speaker 2: us that it's okay to eat a load of eggs, 190 00:10:37,520 --> 00:10:40,880 Speaker 2: which are of course high in cholesterol. So they're in 191 00:10:40,920 --> 00:10:43,319 Speaker 2: a bit of a tricky position at the moment because 192 00:10:43,760 --> 00:10:46,200 Speaker 2: on the one hand, cholesterol does not hurt us when 193 00:10:46,240 --> 00:10:49,120 Speaker 2: it's in an egg, but it does hurt us when 194 00:10:49,160 --> 00:10:58,000 Speaker 2: it's in margarine or in butter. So the issue is 195 00:10:58,040 --> 00:11:01,559 Speaker 2: this is that they have fundamentally, as usual with nutritionness 196 00:11:01,600 --> 00:11:04,360 Speaker 2: and the heart Foundation, I like stepped away from the 197 00:11:04,400 --> 00:11:07,400 Speaker 2: science to match the messaging, and the science is pretty 198 00:11:07,400 --> 00:11:11,400 Speaker 2: clear on this. An egg is a perfect food. If 199 00:11:11,440 --> 00:11:15,440 Speaker 2: someone runs around telling you you've got to eat kale, 200 00:11:15,440 --> 00:11:18,920 Speaker 2: smoothies and all that sort of stuff as a superfood, 201 00:11:19,760 --> 00:11:22,520 Speaker 2: you can step back from that and say, no, I'm 202 00:11:22,559 --> 00:11:24,440 Speaker 2: already having a super food. I had an egg on 203 00:11:24,480 --> 00:11:29,320 Speaker 2: toast this morning. So an egg contains exactly what we 204 00:11:29,400 --> 00:11:33,200 Speaker 2: need in exactly the right proportions, both macro and micro 205 00:11:33,360 --> 00:11:37,559 Speaker 2: nutrients and all vitamins. The only thing it doesn't contain 206 00:11:37,880 --> 00:11:40,920 Speaker 2: is vitamin C, which you could get adequately from the 207 00:11:40,960 --> 00:11:48,680 Speaker 2: occasional potato. So it's a perfect superfood. Probably the thing 208 00:11:48,679 --> 00:11:52,600 Speaker 2: that comes closest to it next is whole milk, which 209 00:11:52,640 --> 00:11:55,719 Speaker 2: is also similar in its characteristics. And if you think 210 00:11:55,760 --> 00:11:58,920 Speaker 2: about it, both of these things are foods created by 211 00:11:58,960 --> 00:12:01,160 Speaker 2: animals to feed babe the animals and make them grow 212 00:12:01,200 --> 00:12:03,840 Speaker 2: into bigger animals, and so it should have everything that 213 00:12:03,920 --> 00:12:05,120 Speaker 2: is needed for that to occur. 214 00:12:07,400 --> 00:12:11,800 Speaker 1: You're that chips and eggs superfood super meal. 215 00:12:14,040 --> 00:12:16,120 Speaker 2: As long as you don't cook the chips in seed oil. 216 00:12:16,520 --> 00:12:19,360 Speaker 2: Perfect cook the chips and some nice animal fat, bit 217 00:12:19,400 --> 00:12:21,480 Speaker 2: of duck fat or a bit of beef fat bit 218 00:12:21,559 --> 00:12:24,400 Speaker 2: of tallow then, yeah, a bit of chips and eggs 219 00:12:24,720 --> 00:12:27,120 Speaker 2: is a superfood. Can I put line up for that 220 00:12:27,160 --> 00:12:29,160 Speaker 2: every day I want to have my superfood? 221 00:12:29,720 --> 00:12:31,040 Speaker 1: Can I put some salt on it? 222 00:12:31,840 --> 00:12:35,280 Speaker 2: Yeah? Oh yes, definitely. Now we should do it a 223 00:12:35,280 --> 00:12:39,320 Speaker 2: whole program about salt. But the story about salt is 224 00:12:39,400 --> 00:12:44,120 Speaker 2: a load of absolute bollocks. So there is absolutely no 225 00:12:44,240 --> 00:12:48,160 Speaker 2: reason not to be consuming salt unless you've screwed up 226 00:12:48,160 --> 00:12:51,679 Speaker 2: your kidneys bleating too much sugar. Right, But we can 227 00:12:52,200 --> 00:12:53,640 Speaker 2: we can put a little bit more effort into that 228 00:12:53,640 --> 00:12:58,400 Speaker 2: one another day, Craig. But the interesting thing about cholesterol 229 00:12:58,600 --> 00:13:01,560 Speaker 2: as well, another part of the science that they only 230 00:13:01,600 --> 00:13:04,640 Speaker 2: got around to looking at eventually, is that the human 231 00:13:04,679 --> 00:13:08,760 Speaker 2: body produces about a thousand milligrams of cholesterol every day. 232 00:13:09,440 --> 00:13:13,720 Speaker 2: We make it. It's a very good reason we make it. 233 00:13:13,720 --> 00:13:16,920 Speaker 2: It's essentially the ambulance grew for our body. Wherever there's 234 00:13:16,960 --> 00:13:22,000 Speaker 2: any damage internally, any information, the cholesterol is deployed to 235 00:13:22,040 --> 00:13:27,000 Speaker 2: help patch us up. So cholesterol is a really important 236 00:13:27,040 --> 00:13:30,440 Speaker 2: part of our staying alive mechanisms, which is why we 237 00:13:30,559 --> 00:13:33,280 Speaker 2: make such a lot of it, a thousand milligrams a day. Now, 238 00:13:33,640 --> 00:13:35,560 Speaker 2: a lot of people will say, well, a thousand milligrams 239 00:13:35,600 --> 00:13:37,600 Speaker 2: I've done the mats. That's agram. Doesn't sound like much 240 00:13:37,640 --> 00:13:40,360 Speaker 2: to me. Well, it is when you're talking about cholesterol, 241 00:13:40,400 --> 00:13:42,920 Speaker 2: because an egg is one hundred and eighty six milligrams 242 00:13:43,520 --> 00:13:49,160 Speaker 2: the average egg, so you know, a thousand milligrams a 243 00:13:49,240 --> 00:13:51,920 Speaker 2: day is actually more than five eggs worth, and we're 244 00:13:51,920 --> 00:13:55,160 Speaker 2: making that ourselves. The interesting thing is that the human 245 00:13:55,200 --> 00:13:59,400 Speaker 2: body adjusts, so if we eat an egg, they say, 246 00:13:59,400 --> 00:14:02,360 Speaker 2: oh jeez, thanks for that you've made. You've given me 247 00:14:02,400 --> 00:14:04,400 Speaker 2: one hundred and eighty six milligrams. That's one hundred and 248 00:14:04,440 --> 00:14:06,840 Speaker 2: eighty six milligrams I don't have to make, and it 249 00:14:06,920 --> 00:14:11,160 Speaker 2: just reduces the amount we make. So the net effect 250 00:14:11,480 --> 00:14:17,000 Speaker 2: of consuming cholesterol is pretty much nothing unless you're consuming 251 00:14:17,520 --> 00:14:20,280 Speaker 2: more than a thousand milligrams of it a day, which 252 00:14:20,720 --> 00:14:24,080 Speaker 2: very few people are, except perhaps you were when you 253 00:14:24,120 --> 00:14:27,840 Speaker 2: were checking back an entire box of eggs in one go. 254 00:14:29,000 --> 00:14:35,600 Speaker 2: But even then, so what, Yeah, it's blaming cholesterol for 255 00:14:35,680 --> 00:14:39,840 Speaker 2: heart disease is like blaming ambulances for car accidents. Yes, 256 00:14:39,960 --> 00:14:42,760 Speaker 2: you notice that they often are in the same place 257 00:14:42,840 --> 00:14:46,920 Speaker 2: at the same time, but you're disregarding its purpose. 258 00:14:47,640 --> 00:14:55,400 Speaker 1: Yeah, yeah, hey, hiss my friend chat GPT. Cholesterol gets 259 00:14:55,400 --> 00:14:58,200 Speaker 1: a bad rap, but it is essential, essential for various 260 00:14:58,240 --> 00:15:02,120 Speaker 1: functions in the body. The key benefits of cholesterol cell 261 00:15:03,040 --> 00:15:07,600 Speaker 1: membrane structure. Cholesterol's crucial component of cell membranes, providing stability 262 00:15:07,600 --> 00:15:11,280 Speaker 1: and fluidity, helps maintain integrity and flexibility of the cells, 263 00:15:11,320 --> 00:15:15,760 Speaker 1: allowing them to function properly. Hormone production. Cholesterols are precursor 264 00:15:16,000 --> 00:15:23,320 Speaker 1: in the synthesis of steroid hormones, including cortisol, aldose, aldosterone, 265 00:15:23,320 --> 00:15:29,360 Speaker 1: whatever it's called, sex hormones, estrogen, progesterone, testosterone, Vitamin D synthesis, 266 00:15:30,040 --> 00:15:32,520 Speaker 1: brain health. The brain contains about twenty per cent of 267 00:15:32,520 --> 00:15:37,560 Speaker 1: the body's total cholesterol. It is vital for formation of synapses, 268 00:15:37,560 --> 00:15:42,320 Speaker 1: connection between neurons, supporting learning, memory, and overall cognitive function. 269 00:15:43,000 --> 00:15:49,240 Speaker 1: It's an antioxidant, it's immune function improver. Wow, that's interesting, 270 00:15:49,280 --> 00:15:49,560 Speaker 1: isn't that? 271 00:15:50,480 --> 00:15:54,280 Speaker 2: Yeah? So, I mean, who would have thought one of 272 00:15:54,320 --> 00:15:56,320 Speaker 2: the one of the really big book ones in that 273 00:15:56,400 --> 00:16:00,720 Speaker 2: list there is the vitamin D production. So no cholesterol, 274 00:16:00,800 --> 00:16:02,880 Speaker 2: no vitamin D. So you can go out in the 275 00:16:02,880 --> 00:16:04,240 Speaker 2: sun all you like, but if you haven't got enough 276 00:16:04,280 --> 00:16:07,760 Speaker 2: cholesterol in your skin, then there'll be no vitamin D. Produced, 277 00:16:09,360 --> 00:16:12,320 Speaker 2: and vitamin D deficiency has its own list of very 278 00:16:12,600 --> 00:16:18,440 Speaker 2: very bad things for us, including rickets. So the interesting 279 00:16:18,480 --> 00:16:20,480 Speaker 2: thing out of all of this when it comes to eggs, 280 00:16:20,800 --> 00:16:24,800 Speaker 2: is that the nutritional establishment, the people we trust to 281 00:16:24,840 --> 00:16:27,360 Speaker 2: tell us what we should be eating, have spent the 282 00:16:27,440 --> 00:16:32,080 Speaker 2: last five decades telling us not to eat one of 283 00:16:32,120 --> 00:16:38,680 Speaker 2: the healthiest things we could possibly eat because they obsessed 284 00:16:39,000 --> 00:16:44,720 Speaker 2: about something that didn't matter. And that's to me underlines 285 00:16:45,240 --> 00:16:49,920 Speaker 2: how so much nutritional advice is very very wrong and 286 00:16:50,040 --> 00:16:53,240 Speaker 2: very very dangerous. And this is the sort of thing. 287 00:16:53,600 --> 00:16:55,880 Speaker 2: HARKing back to our discussion I think we had last 288 00:16:55,880 --> 00:17:00,360 Speaker 2: time we talked about the star ratings on food, said 289 00:17:00,680 --> 00:17:03,480 Speaker 2: the best way to use them is in reverse, the 290 00:17:03,560 --> 00:17:05,560 Speaker 2: lower the rating, the better the food. And one of 291 00:17:05,600 --> 00:17:08,639 Speaker 2: the reasons for that is that cholesterol is one of 292 00:17:08,680 --> 00:17:12,159 Speaker 2: the things they measure in that star rating. So something 293 00:17:12,200 --> 00:17:14,480 Speaker 2: that's got a lot of cholesterol and saturated fat, like 294 00:17:14,560 --> 00:17:17,320 Speaker 2: but I will have a terrible star rating. But it's 295 00:17:17,359 --> 00:17:22,000 Speaker 2: a superfood. It's cream, and it is very very good 296 00:17:22,040 --> 00:17:24,280 Speaker 2: for you. It has it will have a star rating 297 00:17:24,320 --> 00:17:26,240 Speaker 2: of half a star or one star if you're very 298 00:17:26,320 --> 00:17:29,040 Speaker 2: very lucky, But that tells you that's a food you 299 00:17:29,040 --> 00:17:33,000 Speaker 2: should be consuming, whereas the margarine that lowers your cholesterol 300 00:17:33,080 --> 00:17:35,360 Speaker 2: that gets five stars should be thrown in the bin. 301 00:17:36,320 --> 00:17:39,720 Speaker 1: And isn't it interesting, David that that Monash Yuning, which 302 00:17:39,840 --> 00:17:43,360 Speaker 1: by the way, is where I study. But Monash does 303 00:17:43,400 --> 00:17:50,080 Speaker 1: this big study, lots of participants, lots of whatever. Let's 304 00:17:50,119 --> 00:17:53,080 Speaker 1: assume I haven't seen the study, but you're telling me 305 00:17:53,119 --> 00:17:57,280 Speaker 1: it's a good study. But why would people? Why is it? 306 00:17:58,359 --> 00:18:02,639 Speaker 1: Why doesn't anyone pay a ten? Like like if I 307 00:18:02,720 --> 00:18:05,560 Speaker 1: was a dietitian or nutritionist and I was in the 308 00:18:05,640 --> 00:18:08,760 Speaker 1: cholesterol as bad camp, and then some brand new research 309 00:18:08,840 --> 00:18:12,440 Speaker 1: came out that went, look, it's actually not I would 310 00:18:12,440 --> 00:18:14,560 Speaker 1: at the very least want to go and read that 311 00:18:14,840 --> 00:18:18,040 Speaker 1: and see if I can learn something new. What's your 312 00:18:18,119 --> 00:18:22,639 Speaker 1: theory on why? I understand why brands are so slow 313 00:18:22,720 --> 00:18:27,280 Speaker 1: because it's going to cost them do but why is 314 00:18:27,359 --> 00:18:33,800 Speaker 1: the nutritional slash medical science fraternity sometimes so slow to 315 00:18:34,160 --> 00:18:35,119 Speaker 1: turn the ship around. 316 00:18:36,760 --> 00:18:39,720 Speaker 2: Well, A big part of it is if you've spent 317 00:18:39,960 --> 00:18:42,639 Speaker 2: the last twenty years of your life building a career 318 00:18:43,200 --> 00:18:47,560 Speaker 2: as a nutritionist or a dietitian, and all that time 319 00:18:47,680 --> 00:18:52,360 Speaker 2: you've been telling people not to eat eggs, how are 320 00:18:52,359 --> 00:18:54,119 Speaker 2: you then going to go back to them say, oh, 321 00:18:54,240 --> 00:18:55,840 Speaker 2: you know that stuff I've been saying for the last 322 00:18:55,840 --> 00:18:58,800 Speaker 2: twenty years that was all wrong. But now I'm going 323 00:18:58,880 --> 00:19:00,760 Speaker 2: to tell you something that's definite right. So you can 324 00:19:00,800 --> 00:19:03,879 Speaker 2: listen to me. Now just ignore the fact that everything 325 00:19:03,880 --> 00:19:07,439 Speaker 2: I've said for the last twenty years is wrong. People 326 00:19:07,520 --> 00:19:10,879 Speaker 2: find that very very difficult to do. Yes, I know 327 00:19:10,960 --> 00:19:16,280 Speaker 2: you would do it, will definitely do it. But most 328 00:19:16,359 --> 00:19:19,160 Speaker 2: people find that really really difficult to do. They find 329 00:19:19,160 --> 00:19:22,200 Speaker 2: it really difficult to admit they've done something wrong. 330 00:19:23,080 --> 00:19:25,560 Speaker 1: And isn't it a problem? Isn't it sad that that 331 00:19:26,240 --> 00:19:29,920 Speaker 1: the people's ego or people's lack of humility, or people's 332 00:19:29,920 --> 00:19:32,840 Speaker 1: inability to say, look I got shit wrong. That are 333 00:19:33,080 --> 00:19:35,840 Speaker 1: and yeah, twenty years whatever. Well, I think I've said 334 00:19:35,840 --> 00:19:38,000 Speaker 1: this before. Like I used to teach the food Pyramid. 335 00:19:38,359 --> 00:19:40,359 Speaker 1: I was a big advocate because that was the best 336 00:19:40,400 --> 00:19:42,760 Speaker 1: I knew, and then I didn't and I literally said 337 00:19:42,760 --> 00:19:44,520 Speaker 1: to people, I got it wrong. Lots of people. But 338 00:19:45,440 --> 00:19:47,679 Speaker 1: and I mean the reality is that apart from being 339 00:19:47,760 --> 00:19:52,359 Speaker 1: scientists or researchers or dietitians, nutritionness doctors, everyone's human right 340 00:19:52,400 --> 00:19:56,879 Speaker 1: and everyone gets stuff wrong. And this addiction that we 341 00:19:57,040 --> 00:20:01,320 Speaker 1: have to being right comes at the cost of people's health. 342 00:20:01,920 --> 00:20:04,480 Speaker 1: You know, it's I know, it's part of the old. 343 00:20:04,480 --> 00:20:10,520 Speaker 2: And their lives. Remember that this study said if you 344 00:20:10,560 --> 00:20:15,040 Speaker 2: eat an egg a day, you are twenty nine percent 345 00:20:15,440 --> 00:20:18,920 Speaker 2: less likely to die from heart disease than if you 346 00:20:19,000 --> 00:20:24,320 Speaker 2: eat an egg a week. So, in fact, were they 347 00:20:24,359 --> 00:20:27,040 Speaker 2: to admit that the advice they've been giving for the 348 00:20:27,119 --> 00:20:31,320 Speaker 2: last twenty years was wrong, they'd also be admitting that 349 00:20:31,359 --> 00:20:35,520 Speaker 2: they've encouraged their patients to do something which makes them 350 00:20:35,560 --> 00:20:38,040 Speaker 2: a third more likely to die of heart disease. 351 00:20:39,080 --> 00:20:42,080 Speaker 1: Yeah, tif, do you eate eggs? 352 00:20:42,720 --> 00:20:43,680 Speaker 3: Eats of them? 353 00:20:44,040 --> 00:20:46,560 Speaker 1: How many? Like what's your egg quota? 354 00:20:46,680 --> 00:20:50,040 Speaker 3: I'd have eggs every day and I usually have three 355 00:20:50,080 --> 00:20:50,280 Speaker 3: in a. 356 00:20:50,320 --> 00:20:54,639 Speaker 1: Serve, So you would give or take twenty a week. 357 00:20:55,119 --> 00:21:04,720 Speaker 2: Yeah, yeah, that's what the study says. Yeah, yeah, definitely yeah. 358 00:21:04,800 --> 00:21:06,480 Speaker 1: Yeah. I actually, well. 359 00:21:06,480 --> 00:21:08,880 Speaker 2: I mean Craig was not going to back a box 360 00:21:08,920 --> 00:21:11,239 Speaker 2: at a time, you know, in his youth, and he's 361 00:21:11,240 --> 00:21:11,800 Speaker 2: still with us. 362 00:21:12,680 --> 00:21:15,520 Speaker 1: That's absolutely true. That is true because I used to 363 00:21:15,520 --> 00:21:17,720 Speaker 1: get them for next to nothing because our friend zoned 364 00:21:18,240 --> 00:21:21,200 Speaker 1: and all. I just wanted to get lots of protein 365 00:21:21,560 --> 00:21:27,200 Speaker 1: and the simplest, easiest most accessible, digestible way. Again, everyone, 366 00:21:27,400 --> 00:21:30,520 Speaker 1: I reiterate, this is not a recommendation or a suggestion, 367 00:21:31,280 --> 00:21:33,480 Speaker 1: but this is literally what I did. There's lots of 368 00:21:33,480 --> 00:21:39,960 Speaker 1: people who can advocate, and yeah, I remember really tentatively. 369 00:21:40,160 --> 00:21:42,600 Speaker 1: Sometime later, not a lot, a lot later, a year 370 00:21:42,680 --> 00:21:45,520 Speaker 1: or two later, when I backed off to like two 371 00:21:45,640 --> 00:21:48,200 Speaker 1: or three a day, I was thinking, my cholesterol is 372 00:21:48,240 --> 00:21:50,720 Speaker 1: going to be like out of control, and it was 373 00:21:50,840 --> 00:21:54,679 Speaker 1: like four. It was like lower than average. 374 00:21:55,480 --> 00:21:59,160 Speaker 2: Yeah, because it doesn't really affect the cholesterol reading because 375 00:21:59,160 --> 00:22:02,400 Speaker 2: your body selfurg the entire time. Because remember, it's manufacturing 376 00:22:02,440 --> 00:22:05,320 Speaker 2: it if you don't give it to it, and all 377 00:22:05,359 --> 00:22:08,399 Speaker 2: you're really doing by depriving it is just making the 378 00:22:08,480 --> 00:22:09,919 Speaker 2: job of manufacturing it harder. 379 00:22:12,040 --> 00:22:14,480 Speaker 1: All right, that's enough. That was short, But I think 380 00:22:14,520 --> 00:22:18,680 Speaker 1: that was good, doctor gillespo. When when are you starting 381 00:22:18,720 --> 00:22:22,719 Speaker 1: to go on? Did I forget something? 382 00:22:23,680 --> 00:22:25,520 Speaker 2: No? I was going to no, No, I was going 383 00:22:25,600 --> 00:22:27,560 Speaker 2: to say, if you want to bang on a bit, 384 00:22:27,560 --> 00:22:29,040 Speaker 2: we can talk about salt. But if you want to 385 00:22:29,119 --> 00:22:29,440 Speaker 2: leave that. 386 00:22:29,359 --> 00:22:33,040 Speaker 1: For a night, i'd love to Well, well, you said 387 00:22:33,119 --> 00:22:37,440 Speaker 1: that's for a time. I actually wrote down salt. 388 00:22:36,560 --> 00:22:39,760 Speaker 2: Just let's let's give it. Let's her little taste tester 389 00:22:39,840 --> 00:22:41,160 Speaker 2: of the salt, all. 390 00:22:41,200 --> 00:22:45,639 Speaker 1: Right, why why is there so much terror around salt? 391 00:22:47,000 --> 00:22:50,760 Speaker 2: For similar reasons so as the heart disease. Think by 392 00:22:50,800 --> 00:22:54,280 Speaker 2: the way, people might be wondering, well, what was causing 393 00:22:54,320 --> 00:22:59,120 Speaker 2: all this heart disease? And if it wasn't the saturated fat, 394 00:22:59,119 --> 00:23:02,679 Speaker 2: what was it? Probably the smoking, is the short answer. 395 00:23:03,960 --> 00:23:08,200 Speaker 2: So smoking significantly increases the rates of heart disease, and 396 00:23:09,080 --> 00:23:12,800 Speaker 2: in the late nineteen sixties smoking was at endemic levels. 397 00:23:13,400 --> 00:23:18,320 Speaker 2: And if you graph smoking versus heart disease mortality, they're 398 00:23:18,320 --> 00:23:20,520 Speaker 2: an almost perfect mirror of each other in terms of 399 00:23:20,560 --> 00:23:25,520 Speaker 2: the curves. So they completely got that entirely wrong. But 400 00:23:26,520 --> 00:23:30,119 Speaker 2: at around the same time they're also obsessing about blood pressure, 401 00:23:31,960 --> 00:23:35,719 Speaker 2: mostly because once again it's something that could be measured, 402 00:23:36,680 --> 00:23:39,359 Speaker 2: and there was a bit of you know, home spun 403 00:23:39,520 --> 00:23:42,600 Speaker 2: logic to oh, I guess you know, if your blood's 404 00:23:42,640 --> 00:23:45,520 Speaker 2: going through your pipes that are higher pressure, then it's 405 00:23:45,560 --> 00:23:48,280 Speaker 2: probably bad for your heart. It probably puts a bit 406 00:23:48,280 --> 00:23:53,400 Speaker 2: of pressure on your arteries and so on. So high 407 00:23:53,440 --> 00:23:56,719 Speaker 2: blood pressure is probably a bad thing. Exactly what is 408 00:23:56,840 --> 00:24:01,199 Speaker 2: high blood pressure has been a moving target if you 409 00:24:01,480 --> 00:24:03,280 Speaker 2: track it over time. I haven't got the numbers off 410 00:24:03,280 --> 00:24:04,520 Speaker 2: the top of my head. But if you track it 411 00:24:04,520 --> 00:24:08,040 Speaker 2: over time, it's gotten lower and lower and lower and lower. 412 00:24:09,000 --> 00:24:12,920 Speaker 2: To match the needs of the people selling blood pressure 413 00:24:12,960 --> 00:24:17,440 Speaker 2: lowering medications, to sell more medication, they move the goalpost 414 00:24:17,520 --> 00:24:20,160 Speaker 2: a little bit tighter every year so that it increases 415 00:24:20,160 --> 00:24:23,719 Speaker 2: the market size. But one of the big messages that 416 00:24:23,800 --> 00:24:27,120 Speaker 2: comes out of that is, well, one of the things 417 00:24:27,119 --> 00:24:32,760 Speaker 2: that raises blood pressure is salt. And the thinking there is, well, 418 00:24:32,840 --> 00:24:36,600 Speaker 2: if you consume salt, then it allows more water to 419 00:24:36,640 --> 00:24:39,200 Speaker 2: be absorbed into the bloodstream, which increases the volume of 420 00:24:39,240 --> 00:24:45,080 Speaker 2: the blood, which therefore increases the blood pressure. It is yeah, 421 00:24:45,119 --> 00:24:48,680 Speaker 2: mechanically probably correct. It doesn't have a significant effect, though, 422 00:24:48,720 --> 00:24:51,960 Speaker 2: once again because our bodies are pretty good at adjusting, 423 00:24:52,760 --> 00:24:56,199 Speaker 2: so all else being equal, the effect of salt on 424 00:24:56,240 --> 00:24:58,520 Speaker 2: blood pressure is roughly the same as what they call 425 00:24:59,200 --> 00:25:03,240 Speaker 2: the white coat of which is blood pressure tends to 426 00:25:03,280 --> 00:25:08,200 Speaker 2: go up when it's being measured because you're nervous, you're stressed, 427 00:25:08,840 --> 00:25:10,320 Speaker 2: someone putting a blood. 428 00:25:10,720 --> 00:25:13,119 Speaker 1: I've got it, white code hypertension. 429 00:25:15,119 --> 00:25:19,000 Speaker 2: Yeah, so, and you get different results if the person's 430 00:25:19,080 --> 00:25:21,840 Speaker 2: unconscious and not being stressed out by the fact that 431 00:25:22,359 --> 00:25:25,679 Speaker 2: the doctor is they're taking their blood pressure it's a 432 00:25:25,680 --> 00:25:28,960 Speaker 2: similar effect around about the same effect about two milligrams. 433 00:25:29,000 --> 00:25:32,560 Speaker 2: It's it's it's not much, but it hasn't stopped it 434 00:25:32,680 --> 00:25:36,119 Speaker 2: being the story just like that, don't eat eggs, which is, 435 00:25:36,160 --> 00:25:39,720 Speaker 2: don't put salt on the eggs. You're not eating because 436 00:25:39,840 --> 00:25:44,080 Speaker 2: salt is going to give your heart disease. Now, the 437 00:25:44,080 --> 00:25:48,600 Speaker 2: biomechanical science of that shows that that's garbage, because the 438 00:25:48,680 --> 00:25:51,760 Speaker 2: human body has evolved in an environment where salt is 439 00:25:51,800 --> 00:25:54,600 Speaker 2: part of the environment, and we are really really good 440 00:25:54,640 --> 00:25:58,000 Speaker 2: at getting rid of the excess. We need salt in 441 00:25:58,119 --> 00:26:01,560 Speaker 2: our diet, and we're really good at getting rid of 442 00:26:01,640 --> 00:26:04,920 Speaker 2: the excess. Any extra salt ends up in the urine. 443 00:26:05,040 --> 00:26:08,240 Speaker 2: It's out of there, real, real quick. The only circumstance 444 00:26:08,320 --> 00:26:12,240 Speaker 2: where that doesn't happen is where you have already screwed 445 00:26:12,280 --> 00:26:15,679 Speaker 2: up your kidneys, which is the organ responsible for eliminating 446 00:26:15,720 --> 00:26:20,480 Speaker 2: the salt from your bloodstream. And the most effective way 447 00:26:20,800 --> 00:26:24,000 Speaker 2: of wrecking your kidneys is to have large amounts of sugar, 448 00:26:24,520 --> 00:26:28,960 Speaker 2: because it creates which through a process which we won't 449 00:26:28,960 --> 00:26:31,640 Speaker 2: go into in detail here, but creates your g acid crystals, 450 00:26:31,680 --> 00:26:35,399 Speaker 2: which ultimately end up wrecking a lot of the fine 451 00:26:35,640 --> 00:26:39,840 Speaker 2: tubules in the kidney and result in kidney disease, which 452 00:26:39,840 --> 00:26:43,040 Speaker 2: is of course why diabetes and kidney disease are closely associated, 453 00:26:43,080 --> 00:26:47,600 Speaker 2: and it's why kidney disease is now a significant chronic 454 00:26:47,640 --> 00:26:51,639 Speaker 2: disease state in the modern world, particularly in Australia and 455 00:26:51,680 --> 00:26:55,399 Speaker 2: particularly in the Northern Territory, which has amongst the world's 456 00:26:55,440 --> 00:27:01,520 Speaker 2: highest consumption of sugar. So kidney disease is what causes 457 00:27:01,840 --> 00:27:05,919 Speaker 2: salt to cause a problem because you can't eliminate the salt. 458 00:27:06,200 --> 00:27:12,080 Speaker 2: But for a normal functional human adult, eating salt it 459 00:27:12,119 --> 00:27:15,040 Speaker 2: as much as you want to your taste, and by 460 00:27:15,040 --> 00:27:18,040 Speaker 2: the way, your taste will limit that. Some people can 461 00:27:18,080 --> 00:27:20,159 Speaker 2: eat a lot of salt. Other people don't like it 462 00:27:20,240 --> 00:27:23,280 Speaker 2: much at all. It's a taste thing, and it's entirely 463 00:27:23,320 --> 00:27:26,280 Speaker 2: dependent on how much you need. Your body will decide 464 00:27:26,359 --> 00:27:29,960 Speaker 2: how much you need to take in. But artificially limiting 465 00:27:30,000 --> 00:27:32,280 Speaker 2: it and sitting there saying I can't have salt because 466 00:27:32,280 --> 00:27:34,520 Speaker 2: it's going to kill me with heart disease is nonsense. 467 00:27:36,280 --> 00:27:38,359 Speaker 1: I feel like an omelet now, I feel like a 468 00:27:38,440 --> 00:27:39,800 Speaker 1: chicken omelet. 469 00:27:39,760 --> 00:27:41,639 Speaker 2: Yep, with a bit of salt on it, some chips 470 00:27:41,640 --> 00:27:44,800 Speaker 2: on the side, cooked in animal fat of course, and. 471 00:27:45,640 --> 00:27:48,800 Speaker 1: Like with cheese, grated cheese, drizzled. 472 00:27:49,400 --> 00:27:50,399 Speaker 2: Cheese, full fat. 473 00:27:50,480 --> 00:27:54,480 Speaker 1: Yeah, some chopped onion, maybe fry off the onion a 474 00:27:54,480 --> 00:27:58,080 Speaker 1: little bit, and some butter and some tomato. Oh god, 475 00:27:58,400 --> 00:27:59,960 Speaker 1: come on, that's what I'm talking about. 476 00:28:01,080 --> 00:28:04,520 Speaker 2: Yeah, and none of that is bad for you. 477 00:28:04,560 --> 00:28:07,000 Speaker 1: No, that's why I picked all those ingredients. I knew 478 00:28:07,000 --> 00:28:08,680 Speaker 1: that would get the David Gillespie tick. 479 00:28:11,040 --> 00:28:11,280 Speaker 2: Yeah. 480 00:28:11,359 --> 00:28:13,040 Speaker 1: Do you add salt? Tip for you a salter? 481 00:28:13,400 --> 00:28:13,600 Speaker 3: Yeah? 482 00:28:13,600 --> 00:28:14,280 Speaker 1: I love salt. 483 00:28:14,359 --> 00:28:15,520 Speaker 3: I eat a lot of salt. 484 00:28:17,040 --> 00:28:19,440 Speaker 2: Yeah. Since she's having she's having twenty eggs a day, 485 00:28:19,520 --> 00:28:24,760 Speaker 2: she's coming on in salt, probably probably with an inch 486 00:28:24,840 --> 00:28:27,359 Speaker 2: stick of butter over everything she eats. 487 00:28:27,680 --> 00:28:29,919 Speaker 3: I have given that sugar and nudge though over my 488 00:28:30,000 --> 00:28:33,200 Speaker 3: last David. So, now the kidneys are functioning with the salt. 489 00:28:35,640 --> 00:28:39,800 Speaker 2: Oh, you know, it was a problem. The beautiful thing 490 00:28:39,800 --> 00:28:42,120 Speaker 2: about the human body is that you have to wreck 491 00:28:42,160 --> 00:28:44,320 Speaker 2: it fairly substantially before it's really broken. 492 00:28:44,680 --> 00:28:45,160 Speaker 3: Excellent. 493 00:28:45,960 --> 00:28:49,680 Speaker 5: They are pretty resilient. They are pretty resilient. Well mate, 494 00:28:50,760 --> 00:28:53,920 Speaker 5: well done you. So now I was going to advise 495 00:28:53,960 --> 00:28:55,840 Speaker 5: everyone to load up on eggs and salt. I'm not 496 00:28:55,880 --> 00:28:59,680 Speaker 5: going to do that health advice. I'm not going to. 497 00:29:00,080 --> 00:29:02,360 Speaker 1: None of this is health advice anyone or none of 498 00:29:02,400 --> 00:29:06,719 Speaker 1: it's a prescription or a program or direction. But interesting information, 499 00:29:06,880 --> 00:29:10,160 Speaker 1: that's the main thing. Always do your own research, just 500 00:29:10,240 --> 00:29:14,240 Speaker 1: research in the right place. We'll say goodbye fair but 501 00:29:14,280 --> 00:29:15,080 Speaker 1: thanks again mate. 502 00:29:15,920 --> 00:29:18,040 Speaker 2: Yeah, no worries, Thanks buddy,