1 00:00:00,560 --> 00:00:03,720 Speaker 1: I get it Team Craig, Anthony Harper in a key, 2 00:00:03,960 --> 00:00:08,920 Speaker 1: Unworth Unsworth, whoever that is? And Tiffany Cook. Now David 3 00:00:09,000 --> 00:00:11,520 Speaker 1: is rocked up using who is it in a key? 4 00:00:11,640 --> 00:00:15,720 Speaker 1: Can we shout out thicker? I'm sorry. I give a 5 00:00:15,720 --> 00:00:16,840 Speaker 1: shout out to Nica. 6 00:00:16,760 --> 00:00:22,760 Speaker 2: Whose who INCA is? So? Inca is the CEO of 7 00:00:22,880 --> 00:00:26,279 Speaker 2: the Free School the you know, the charity that I 8 00:00:26,400 --> 00:00:28,680 Speaker 2: run for the video I do. 9 00:00:28,760 --> 00:00:33,680 Speaker 1: And you have hijacked her laptop. Clearly I've hijacked her account. 10 00:00:33,920 --> 00:00:37,680 Speaker 1: I'd say, okay, all right, well that's fine. Hi tiv 11 00:00:38,040 --> 00:00:41,000 Speaker 1: Hi you all right, Yeah, I'm good. 12 00:00:41,040 --> 00:00:41,400 Speaker 2: Thanks. 13 00:00:41,840 --> 00:00:43,839 Speaker 1: You're a little bit you felt a little bit left out, 14 00:00:43,840 --> 00:00:46,400 Speaker 1: a little bit like a virtual orphan because you couldn't 15 00:00:46,400 --> 00:00:48,360 Speaker 1: get into the call and you cracked the sads and 16 00:00:48,360 --> 00:00:51,960 Speaker 1: your bottom lip was out. You opened my abandonment wound 17 00:00:52,080 --> 00:00:55,960 Speaker 1: and that I'm nursing it now, but I'll be okay, 18 00:00:56,000 --> 00:00:57,200 Speaker 1: I've been nursing it for years. 19 00:00:57,680 --> 00:00:59,480 Speaker 2: Right, Well you rip it open again. 20 00:01:00,040 --> 00:01:02,000 Speaker 1: Well, you jumped on the call with two other people, 21 00:01:02,040 --> 00:01:04,399 Speaker 1: and of the two people on the call, but you 22 00:01:04,480 --> 00:01:11,360 Speaker 1: told Gollespo he was your favorite. Fucking hell really, in 23 00:01:11,480 --> 00:01:13,319 Speaker 1: that moment with that open wound. 24 00:01:13,360 --> 00:01:15,440 Speaker 2: He was, Yeah, he was. 25 00:01:16,080 --> 00:01:20,560 Speaker 1: Now David Gillespie makes me look good at self promotion, 26 00:01:20,640 --> 00:01:25,040 Speaker 1: and I'm shit at self promotion. He's worse. He is 27 00:01:25,200 --> 00:01:27,679 Speaker 1: he needs to do a workshop or get some self 28 00:01:27,800 --> 00:01:32,039 Speaker 1: esteem or I don't know. But so he's putting his 29 00:01:32,360 --> 00:01:37,520 Speaker 1: articles on substack, which is a really good repository of 30 00:01:37,920 --> 00:01:39,320 Speaker 1: interesting information. 31 00:01:40,280 --> 00:01:44,080 Speaker 2: So you go to H. D. 32 00:01:44,400 --> 00:01:49,760 Speaker 1: Gillespie dot substack dot com forward slash. Did I fuck 33 00:01:49,840 --> 00:01:50,600 Speaker 1: that up? David? 34 00:01:51,120 --> 00:01:54,320 Speaker 2: Yeah, I don't know. I think that's right. As you 35 00:01:54,320 --> 00:01:57,040 Speaker 2: point out, I'm really terrible at marketing. You do either 36 00:01:57,080 --> 00:01:59,320 Speaker 2: go there or you just look for the name of it, 37 00:01:59,360 --> 00:02:02,000 Speaker 2: which is ra in hell r A I S I 38 00:02:02,200 --> 00:02:04,080 Speaker 2: n h E double L. 39 00:02:05,240 --> 00:02:07,240 Speaker 1: I will have it all in the show notes. I'll have. 40 00:02:09,120 --> 00:02:10,839 Speaker 2: Terrific thank you. 41 00:02:11,360 --> 00:02:13,240 Speaker 1: At least there's one person who's got a. 42 00:02:13,200 --> 00:02:15,520 Speaker 2: Fucking one who knows where to find one. 43 00:02:15,680 --> 00:02:18,519 Speaker 1: Yes, And when he says it's called when he says 44 00:02:18,560 --> 00:02:22,000 Speaker 1: it's called cracker biscuits, it's not. That's an article he wrote. 45 00:02:22,400 --> 00:02:26,280 Speaker 1: So his repository of articles is not called that. That's 46 00:02:26,360 --> 00:02:30,399 Speaker 1: one of the articles. All right, So firstly, welcome and 47 00:02:30,800 --> 00:02:33,000 Speaker 1: thank you again as always. Well, I won't say that 48 00:02:33,000 --> 00:02:34,920 Speaker 1: because you could be ship. So I'll just put an 49 00:02:34,960 --> 00:02:38,280 Speaker 1: asterisk next to that for the moment. Do you know 50 00:02:38,320 --> 00:02:40,520 Speaker 1: how many people love you? I get sick of people 51 00:02:40,600 --> 00:02:43,160 Speaker 1: going I love David on can he come on once 52 00:02:43,160 --> 00:02:45,240 Speaker 1: a week? I'm not like, fuck him? No he cannot. 53 00:02:46,000 --> 00:02:49,240 Speaker 1: He's on once a fortnight. And that's almost too much. 54 00:02:50,880 --> 00:02:52,600 Speaker 1: You did an article, No, not at all, you did 55 00:02:52,639 --> 00:02:55,280 Speaker 1: an article called cracker biscuits. I'm going to read the 56 00:02:55,280 --> 00:03:00,160 Speaker 1: little the little blurb. Supermarket cracker ales are daunting, a 57 00:03:00,240 --> 00:03:03,040 Speaker 1: daunting landscape. Shells are packed with options, boasting a huge 58 00:03:03,120 --> 00:03:07,320 Speaker 1: variety of flavors, textures, and crucially fat and sugar contents. 59 00:03:07,320 --> 00:03:10,799 Speaker 1: But fear and not. Cracker connoisseurs are brave the aisles 60 00:03:10,840 --> 00:03:14,480 Speaker 1: scrutinizing the nutrition labels of how did you do this? 61 00:03:14,680 --> 00:03:18,040 Speaker 1: Two hundred and sixty two different cracker biscuits available at 62 00:03:18,080 --> 00:03:21,560 Speaker 1: our major supermarkets, Colls and Woollies? So you don't have to? 63 00:03:21,600 --> 00:03:23,639 Speaker 1: Can I ask before you tell us the outcome and 64 00:03:23,680 --> 00:03:26,480 Speaker 1: the data? How do you do that? Do you'd use 65 00:03:26,520 --> 00:03:29,799 Speaker 1: some program to analyze the info that you get from 66 00:03:29,880 --> 00:03:30,440 Speaker 1: the internet? 67 00:03:30,919 --> 00:03:35,520 Speaker 2: And I wish, I wish I could, but no, I 68 00:03:35,600 --> 00:03:38,119 Speaker 2: actually just go and look at their websites, and then 69 00:03:38,200 --> 00:03:41,440 Speaker 2: even then their websites are a bit rubbish in places. 70 00:03:41,600 --> 00:03:43,400 Speaker 2: So sometimes I just go to the supermarket. 71 00:03:44,120 --> 00:03:48,160 Speaker 1: Wow, two hundred and sixty. I mean that would take 72 00:03:48,200 --> 00:03:48,680 Speaker 1: a week? 73 00:03:49,200 --> 00:03:53,440 Speaker 2: Yeah it did, Yeah, at least. Wow. That is the 74 00:03:53,520 --> 00:03:57,280 Speaker 2: worst bit about it is that the particularly the fat content, 75 00:03:57,320 --> 00:03:59,320 Speaker 2: because one of the things I'm really interested in is 76 00:03:59,320 --> 00:04:01,840 Speaker 2: the pollyun search rated fact content. We can talk about why, 77 00:04:02,320 --> 00:04:07,480 Speaker 2: but they're not required to label that property properly, so 78 00:04:07,760 --> 00:04:11,600 Speaker 2: very very few brands do, and you've got to actually 79 00:04:11,640 --> 00:04:14,080 Speaker 2: work it out based on the bits and pieces of 80 00:04:14,120 --> 00:04:16,400 Speaker 2: information they give you, and that can be a bit challenging. 81 00:04:17,000 --> 00:04:22,000 Speaker 1: Yeah, they're reasonably evasive. I always say to people the 82 00:04:22,080 --> 00:04:26,120 Speaker 1: reason that the actual information is in the tiniest font 83 00:04:26,160 --> 00:04:29,359 Speaker 1: of all time, at the bottom of the back, in 84 00:04:29,400 --> 00:04:34,200 Speaker 1: the most inconspicuous place ever, is because they don't want 85 00:04:34,240 --> 00:04:36,560 Speaker 1: you to read it. You know, the stuff on the 86 00:04:36,560 --> 00:04:40,479 Speaker 1: front is not information, it's advertising. The actual information is 87 00:04:40,520 --> 00:04:43,640 Speaker 1: hard to find, all right, So speaking of information, what 88 00:04:43,720 --> 00:04:44,680 Speaker 1: did you find? 89 00:04:45,160 --> 00:04:50,000 Speaker 2: Okay? So if if you don't mind, well, let's divide 90 00:04:50,040 --> 00:04:52,960 Speaker 2: in the world is divided into I guess people who 91 00:04:53,040 --> 00:04:56,280 Speaker 2: can deal with gluten and people who can't but if 92 00:04:56,279 --> 00:04:58,200 Speaker 2: you're one of the people who can deal with gluten, 93 00:04:58,320 --> 00:05:03,800 Speaker 2: then the absolute best choice rye cruskets or ryveaters, as 94 00:05:03,839 --> 00:05:06,640 Speaker 2: long as you don't mind eating cardboard, which is pretty 95 00:05:06,680 --> 00:05:11,000 Speaker 2: much how I feel those things are. But you know, 96 00:05:11,040 --> 00:05:14,080 Speaker 2: if you want to be absolutely top of your game, 97 00:05:14,520 --> 00:05:18,039 Speaker 2: I am not eating any unnecessary polloy unsaturated fat. I 98 00:05:18,040 --> 00:05:22,440 Speaker 2: am not eating any unnecessary sugar. They are it. If 99 00:05:22,480 --> 00:05:28,039 Speaker 2: you're more interested in stuff you can shove under your 100 00:05:28,400 --> 00:05:32,919 Speaker 2: cube of cheese at your Sunday afternoon barbie, then you 101 00:05:33,040 --> 00:05:35,039 Speaker 2: might be tempted to go for something like jats, which 102 00:05:35,080 --> 00:05:40,920 Speaker 2: would be a bad call because they have fairly significant 103 00:05:40,960 --> 00:05:44,520 Speaker 2: amounts of pollo unsaturated fat. So let me just say 104 00:05:44,520 --> 00:05:47,240 Speaker 2: how much that is. That's around ten point six grams 105 00:05:47,800 --> 00:05:51,360 Speaker 2: per one hundred grams. Now, to put that in context 106 00:05:51,839 --> 00:05:55,960 Speaker 2: from an evolutionary perspective, we need about six grams of 107 00:05:56,000 --> 00:06:01,560 Speaker 2: polounsaturated fat to day, and we get it anything we eat. 108 00:06:02,000 --> 00:06:04,640 Speaker 2: We don't have to specially, you know, just eat a 109 00:06:04,680 --> 00:06:09,400 Speaker 2: normal diet. You'll get that easily. So having ten point 110 00:06:09,480 --> 00:06:12,120 Speaker 2: six just in what you're putting under your piece of 111 00:06:12,160 --> 00:06:16,480 Speaker 2: cheese and adding a teaspoon and a half of sugar 112 00:06:16,760 --> 00:06:21,000 Speaker 2: for every hundred grams there, and you are necessarily adding 113 00:06:21,120 --> 00:06:26,039 Speaker 2: some significantly pro inflammatory fats into your system. So we 114 00:06:26,040 --> 00:06:30,000 Speaker 2: can come back to why that matters. But so there 115 00:06:30,040 --> 00:06:35,559 Speaker 2: are better choices. Water crackers are a terrific choice, even 116 00:06:35,600 --> 00:06:39,479 Speaker 2: better than that wafer crackers. So the sort of fancier 117 00:06:39,560 --> 00:06:43,599 Speaker 2: version of water crackers, you know, just playing wafer ones. 118 00:06:43,960 --> 00:06:46,159 Speaker 1: Good for the Catholics, good for the Catholics to know. 119 00:06:46,240 --> 00:06:49,440 Speaker 2: Yeah yeah, yeah, yeah yeah. And the even better news 120 00:06:49,560 --> 00:06:51,919 Speaker 2: is the cheapest ones are the best of the coals, 121 00:06:51,920 --> 00:06:56,720 Speaker 2: and the Woolies brand wafers really nice choices there. 122 00:06:56,960 --> 00:07:00,599 Speaker 1: When you stay wafers, like, what are they called? Are 123 00:07:00,640 --> 00:07:01,720 Speaker 1: they called wafers? 124 00:07:01,760 --> 00:07:04,800 Speaker 2: Call wafers, Yeah, wafer crackers. Sometimes what do. 125 00:07:04,800 --> 00:07:09,480 Speaker 1: They just flour and water? I'm assuming much much? Yeah, 126 00:07:09,520 --> 00:07:11,280 Speaker 1: so they don't tend to add fat to them. 127 00:07:11,960 --> 00:07:16,320 Speaker 2: So so those are the choices there for wheat eaters. 128 00:07:17,200 --> 00:07:19,520 Speaker 2: If you if you're not eating wheat, then you've got 129 00:07:19,520 --> 00:07:22,680 Speaker 2: your rice crackers. And there are some good choices on 130 00:07:22,720 --> 00:07:28,040 Speaker 2: the on the rice cracker front. The Fantastic brand seaweed 131 00:07:28,160 --> 00:07:32,400 Speaker 2: flavored rice cracker has no fat in it at all. Zero. 132 00:07:32,720 --> 00:07:32,960 Speaker 1: Wow. 133 00:07:33,800 --> 00:07:39,760 Speaker 2: So it's a it's a decent choice. And yeah, there's 134 00:07:39,840 --> 00:07:41,920 Speaker 2: quite a few good choices in rice crackers, because there's 135 00:07:41,960 --> 00:07:44,680 Speaker 2: quite a few where they don't add fat to them. 136 00:07:44,720 --> 00:07:47,200 Speaker 2: But if we look at the other end of the scale, too, 137 00:07:47,440 --> 00:07:47,800 Speaker 2: some of. 138 00:07:47,800 --> 00:07:53,920 Speaker 1: The worst choices are things that people do toaut as 139 00:07:53,960 --> 00:07:55,120 Speaker 1: being particularly helpful. 140 00:07:55,200 --> 00:07:57,440 Speaker 2: So I don't know if you've noticed or not. You know, 141 00:07:57,680 --> 00:08:00,360 Speaker 2: probably on the on the party circuit, like you all 142 00:08:00,400 --> 00:08:02,280 Speaker 2: the time, you probably have noticed this. But there's a 143 00:08:02,280 --> 00:08:05,120 Speaker 2: bit of a trend, a bit of a trend towards 144 00:08:05,520 --> 00:08:10,560 Speaker 2: what they call seed crackers, which aren't really made of 145 00:08:11,000 --> 00:08:14,720 Speaker 2: flour or rice or anything like that. What they're made 146 00:08:14,760 --> 00:08:18,240 Speaker 2: of is sort of little compressed discs of seeds. So 147 00:08:18,800 --> 00:08:20,720 Speaker 2: you know those things they used to give budgies to 148 00:08:20,800 --> 00:08:22,640 Speaker 2: chew on in their cages, the little bells. 149 00:08:23,160 --> 00:08:25,400 Speaker 1: Yes, I think they still do. 150 00:08:25,800 --> 00:08:31,200 Speaker 2: Yeah, imagine that. But flat as a cracker that is 151 00:08:31,240 --> 00:08:33,200 Speaker 2: sold as seed crackers, and there's quite a lot of 152 00:08:33,200 --> 00:08:35,520 Speaker 2: them on the market now, like quite a lot of them. 153 00:08:35,880 --> 00:08:39,520 Speaker 2: They are really really bad choice. Like so the worst 154 00:08:39,600 --> 00:08:43,640 Speaker 2: I found was a brand called Olinas, which is simply 155 00:08:43,760 --> 00:08:47,559 Speaker 2: seed crackers. They are come in at thirty two point 156 00:08:47,679 --> 00:08:53,800 Speaker 2: nine grams per hundred grams of plout saturated fat. And 157 00:08:53,840 --> 00:08:55,880 Speaker 2: it's not because they add any fat to it. They 158 00:08:55,880 --> 00:08:58,520 Speaker 2: don't add oils or anything to it. It's the seeds themselves. 159 00:08:58,880 --> 00:09:03,360 Speaker 2: So just eating I compressed bunch of the seed gives 160 00:09:03,400 --> 00:09:05,880 Speaker 2: you enough of this plown saturated fat to make them 161 00:09:05,960 --> 00:09:09,559 Speaker 2: quite really quite something to be avoided. Do you know. 162 00:09:10,400 --> 00:09:12,440 Speaker 1: I just want to ask you something, so I'll just 163 00:09:12,480 --> 00:09:14,760 Speaker 1: get a little pen and pay here. I'm trying to 164 00:09:14,760 --> 00:09:17,040 Speaker 1: do some maths on the go. There's an interesting thing 165 00:09:17,160 --> 00:09:20,400 Speaker 1: that So did you say thirty two point nine grams 166 00:09:20,400 --> 00:09:21,680 Speaker 1: of fat per hundred grams? 167 00:09:21,880 --> 00:09:25,280 Speaker 2: Yep? No, no, no, not of fat, of fulling out 168 00:09:25,320 --> 00:09:29,400 Speaker 2: saturated fat. So that's yeah, the total fat is much 169 00:09:29,440 --> 00:09:33,000 Speaker 2: more than that, really per hundred gram per hundred grams? 170 00:09:33,080 --> 00:09:35,480 Speaker 1: Yeah, ballpark? What do you reckon it is? 171 00:09:36,280 --> 00:09:40,160 Speaker 2: Oh? I could look it up, but yeah, so let 172 00:09:40,240 --> 00:09:41,520 Speaker 2: me have a look here, all. 173 00:09:41,480 --> 00:09:44,679 Speaker 1: Right, because I've got I've got something else I want 174 00:09:44,720 --> 00:09:48,000 Speaker 1: to talk about related to this. Yeah, I think people 175 00:09:48,000 --> 00:09:50,960 Speaker 1: don't think about, so just find out. 176 00:09:51,240 --> 00:09:53,280 Speaker 2: Okay, here I hang on it. Yeah, I'm almost there. 177 00:09:53,320 --> 00:09:56,880 Speaker 2: Scrolling through the Forredschieck forty seven grams forty seven grams 178 00:09:56,880 --> 00:09:58,800 Speaker 2: of fat almost half fat. 179 00:09:59,320 --> 00:10:03,640 Speaker 1: Now can you tell me while you're there, how many 180 00:10:03,760 --> 00:10:08,400 Speaker 1: calories are per hundred grams of fat? No, per hundred 181 00:10:08,440 --> 00:10:09,360 Speaker 1: grams of the product. 182 00:10:09,880 --> 00:10:11,600 Speaker 2: Oh, I don't know per hundred grads of the product, 183 00:10:11,600 --> 00:10:14,360 Speaker 2: but it's nine for fat and four for everyone else. 184 00:10:14,720 --> 00:10:17,640 Speaker 2: I know that. So what I was thinking, that's looking 185 00:10:17,679 --> 00:10:23,640 Speaker 2: at about half Yeah, so it's about nine hundred, no ninety, 186 00:10:24,280 --> 00:10:26,080 Speaker 2: So you're you're a guy with the pen and paper. 187 00:10:26,240 --> 00:10:30,120 Speaker 1: Yeah, yeah, So four twenty three calories just in fat. 188 00:10:30,360 --> 00:10:33,720 Speaker 1: Now what's interesting. The interesting thing about this is people 189 00:10:33,720 --> 00:10:35,800 Speaker 1: would look at that and go, oh, it's forty seven 190 00:10:35,880 --> 00:10:39,840 Speaker 1: grams of fat per one hundred grams of product, and 191 00:10:39,880 --> 00:10:43,600 Speaker 1: then I go, no, hang on, four hundred and twenty 192 00:10:43,640 --> 00:10:48,160 Speaker 1: three calories are from fat of the total calories, which 193 00:10:48,240 --> 00:10:53,000 Speaker 1: might be something like six hundred, give or take. What 194 00:10:53,040 --> 00:10:56,760 Speaker 1: that means is that from an energy point of view, 195 00:10:57,080 --> 00:10:59,839 Speaker 1: about eighty or eighty five percent of the energy or 196 00:10:59,880 --> 00:11:04,480 Speaker 1: calories come from fat. So when you measure, you know, 197 00:11:04,559 --> 00:11:06,640 Speaker 1: it's like, if we go by weight, we go it's 198 00:11:06,679 --> 00:11:10,079 Speaker 1: forty seven pcent. But if we go here's the total calories, 199 00:11:10,120 --> 00:11:13,559 Speaker 1: how many of those calories come from fat? You find 200 00:11:13,600 --> 00:11:16,680 Speaker 1: out that it's more like eighty five percent fat rather 201 00:11:16,760 --> 00:11:21,080 Speaker 1: than forty seven. Because what matters in any food with 202 00:11:21,160 --> 00:11:23,480 Speaker 1: these things is like because if it was only about 203 00:11:23,480 --> 00:11:26,720 Speaker 1: the weight of food, you know, it's because like a 204 00:11:26,760 --> 00:11:30,520 Speaker 1: Mars bars is sixty grams and it's probably got more 205 00:11:30,559 --> 00:11:34,680 Speaker 1: calories than half a kilo of watermelon. Right, So it's 206 00:11:34,760 --> 00:11:38,480 Speaker 1: quite deceptive and misleading that thing. Where we go it's 207 00:11:38,559 --> 00:11:42,040 Speaker 1: like four percent milk, they say it's four percent fat, 208 00:11:42,200 --> 00:11:44,080 Speaker 1: But when you have a look at how many of 209 00:11:44,120 --> 00:11:46,360 Speaker 1: the fat the calories in one hundred mili of milk 210 00:11:46,679 --> 00:11:49,560 Speaker 1: are from fat, it actually ends up being around fifty 211 00:11:49,600 --> 00:11:52,880 Speaker 1: percent fat if you use it as how many of 212 00:11:52,920 --> 00:11:55,800 Speaker 1: the calories, what percentage of the calories are from fat 213 00:11:56,040 --> 00:11:59,280 Speaker 1: versus the weight. So what matters in things is not 214 00:11:59,360 --> 00:12:03,800 Speaker 1: the weight, but the nutritional kind of and the energetic content. Anyway, Well, 215 00:12:03,880 --> 00:12:10,439 Speaker 1: although luckily good point, mathematical you know, mathematical point, thank you, 216 00:12:11,040 --> 00:12:16,800 Speaker 1: sadly totally irrelevant in that it's not irrelevant. Don't make 217 00:12:16,840 --> 00:12:19,800 Speaker 1: me come up there. That make me come up there. 218 00:12:21,600 --> 00:12:25,640 Speaker 2: Because evolution has a role in all of this stuff. 219 00:12:26,200 --> 00:12:32,959 Speaker 2: We have a really really well evolved appetite control system 220 00:12:33,440 --> 00:12:37,959 Speaker 2: that can detect exactly how many calories of fat are 221 00:12:37,960 --> 00:12:42,960 Speaker 2: in food and modify our appetite accordingly, so that I. 222 00:12:42,960 --> 00:12:45,160 Speaker 1: Don't think most people have that. Have you had a 223 00:12:45,160 --> 00:12:48,679 Speaker 1: look there's have you been to a fucking shopping center. 224 00:12:48,880 --> 00:12:51,840 Speaker 2: I'm a lawyer. So there's an asterisk s aff for that, right. 225 00:12:52,360 --> 00:12:59,439 Speaker 2: The asterisk says except if you consume fructose, which is 226 00:13:00,080 --> 00:13:05,520 Speaker 2: half off sugar, because fructose messes with that appetite control 227 00:13:05,600 --> 00:13:10,559 Speaker 2: system and makes you unable to properly detect how many 228 00:13:10,600 --> 00:13:16,320 Speaker 2: calories from fat you are actually consuming. So in a 229 00:13:16,360 --> 00:13:19,280 Speaker 2: perfect world, i e. One without a lot of fructose 230 00:13:19,280 --> 00:13:22,400 Speaker 2: in it, which is not our world, what I just 231 00:13:22,400 --> 00:13:25,680 Speaker 2: said would be perfectly accurate. In an imperfect world, you 232 00:13:25,760 --> 00:13:27,480 Speaker 2: have to do all the kind of maths you were 233 00:13:27,520 --> 00:13:29,640 Speaker 2: just doing to have half a hope, and then you 234 00:13:29,679 --> 00:13:32,760 Speaker 2: are still fighting against an appetite control system that says, 235 00:13:32,760 --> 00:13:33,720 Speaker 2: you know what, I'm not fool. 236 00:13:34,600 --> 00:13:37,840 Speaker 1: Yes, So I might have point out that while we 237 00:13:37,920 --> 00:13:43,440 Speaker 1: are not in that perfect, that utopian, that utopian world 238 00:13:43,520 --> 00:13:45,560 Speaker 1: that you described, we don't live in that. We live 239 00:13:45,600 --> 00:13:48,000 Speaker 1: in this shit world where everyone eats all that crap. 240 00:13:48,760 --> 00:13:52,000 Speaker 1: But there is a way you are supporting my case, 241 00:13:52,040 --> 00:13:53,240 Speaker 1: your honor, I. 242 00:13:53,120 --> 00:13:55,640 Speaker 2: Am, But there's a way to get to that utopian world, 243 00:13:55,720 --> 00:14:00,600 Speaker 2: which is just stop eating fructose. Yeah, that will take 244 00:14:00,640 --> 00:14:01,480 Speaker 2: care of itself. 245 00:14:01,960 --> 00:14:05,319 Speaker 1: Yeah, but people can't. I mean they can theoretically they can. 246 00:14:05,600 --> 00:14:07,240 Speaker 2: But it's like it so it's a bit tricky. 247 00:14:07,760 --> 00:14:10,760 Speaker 1: It is saying of the bloke who's smoked it may 248 00:14:10,920 --> 00:14:16,000 Speaker 1: just stop tomorrow. Yeah sure, sure, good theory. But I've 249 00:14:16,000 --> 00:14:18,760 Speaker 1: been doing it forty years and I'm super fucking addicted 250 00:14:18,800 --> 00:14:20,280 Speaker 1: and by the way, I love it. 251 00:14:21,160 --> 00:14:25,360 Speaker 2: Luckily, someone in this call has written a book called 252 00:14:25,400 --> 00:14:26,840 Speaker 2: The Sweet Poison Quid Plan. 253 00:14:27,440 --> 00:14:30,560 Speaker 1: Oh well, when did you do that? 254 00:14:31,680 --> 00:14:34,200 Speaker 2: That tells you exactly how to do it? 255 00:14:35,200 --> 00:14:38,800 Speaker 1: All right? You got me there? Fifteen love Gillespie, You 256 00:14:38,880 --> 00:14:42,360 Speaker 1: got me there. I'm fuck now. It's going so good too. 257 00:14:42,760 --> 00:14:44,400 Speaker 1: I had my tail up, I had a bit of 258 00:14:44,440 --> 00:14:48,440 Speaker 1: wind behind me. I was feeling cocky when you just 259 00:14:48,480 --> 00:14:50,880 Speaker 1: come and then the best selling author in Australia comes 260 00:14:50,960 --> 00:14:55,160 Speaker 1: up and fucking smashes it into me. All right, well, 261 00:14:55,160 --> 00:14:57,360 Speaker 1: good point, well smarty pants, carry on. 262 00:14:57,760 --> 00:15:00,480 Speaker 2: What's that hell will we talk talking about? 263 00:15:00,840 --> 00:15:03,440 Speaker 1: You were just self promoting and I couldn't be proud 264 00:15:03,440 --> 00:15:07,280 Speaker 1: of It's about time. What's that book called again? 265 00:15:07,720 --> 00:15:09,320 Speaker 2: Ah? The Sweet Poison Quick Plan. 266 00:15:10,240 --> 00:15:13,880 Speaker 1: Yeah there you go, you've got a sugar issue, but 267 00:15:14,320 --> 00:15:17,400 Speaker 1: you've got a sugar issue, or in fact, any issue. 268 00:15:17,480 --> 00:15:20,480 Speaker 1: Just buy one of his books. We's you know, he's 269 00:15:20,520 --> 00:15:22,200 Speaker 1: doing it hard at the moment. Let's be honest. 270 00:15:22,800 --> 00:15:25,480 Speaker 2: We're even having to do Bloody Free podcast with Craig Harp. 271 00:15:27,360 --> 00:15:29,840 Speaker 1: Do people kind of wonder, like, what's happened to you? 272 00:15:30,200 --> 00:15:32,280 Speaker 1: Do you get? Do they go? Why do you do that? 273 00:15:33,600 --> 00:15:35,840 Speaker 1: It's like my community outreach project. 274 00:15:36,040 --> 00:15:38,280 Speaker 2: You know what, I don't care because I enjoy it. 275 00:15:39,040 --> 00:15:42,360 Speaker 1: Well, that is that is that is the main thing 276 00:15:42,560 --> 00:15:46,200 Speaker 1: I think. All Right, So before we talk about something else, 277 00:15:46,240 --> 00:15:47,920 Speaker 1: I want to talk to you about that rhymes with 278 00:15:48,040 --> 00:15:52,720 Speaker 1: Coco pops. Wrap up the wrap up the biscuit conversation for. 279 00:15:52,640 --> 00:15:56,280 Speaker 2: Us, Like, Okay, I've said, I've said a few times, 280 00:15:56,280 --> 00:15:58,000 Speaker 2: we go come back to white matters. Let's just give 281 00:15:58,000 --> 00:16:01,280 Speaker 2: it the pod version of that. Okay, The more poly 282 00:16:01,320 --> 00:16:03,920 Speaker 2: unsaturated fat you have in your diet, the more likely 283 00:16:03,960 --> 00:16:06,320 Speaker 2: you are to have cancer, The more likely you are 284 00:16:06,360 --> 00:16:09,440 Speaker 2: to have Alzheimer's, the more likely you are to have MND, 285 00:16:09,680 --> 00:16:13,760 Speaker 2: the more likely you are to have Parkinson's, you name it. 286 00:16:14,120 --> 00:16:17,320 Speaker 2: This is seriously dangerous stuff. We do not need to 287 00:16:17,360 --> 00:16:20,440 Speaker 2: overload it in our diet. The point of doing these 288 00:16:20,440 --> 00:16:24,320 Speaker 2: guides like that cracker guide is if you want to 289 00:16:24,480 --> 00:16:28,760 Speaker 2: eat crackers, it's possible to do it. It's possible, in fact, 290 00:16:28,800 --> 00:16:32,920 Speaker 2: in almost every food category in a supermarket if you 291 00:16:33,120 --> 00:16:35,680 Speaker 2: actually analyze it, go through and read the two hundred 292 00:16:35,680 --> 00:16:39,600 Speaker 2: and sixty two labels of the brands of stuff in 293 00:16:39,640 --> 00:16:43,280 Speaker 2: the supermarket. There's plenty of good stuff there. There's probably 294 00:16:43,280 --> 00:16:47,280 Speaker 2: twenty or thirty brands there that you'd happily eat. But 295 00:16:48,320 --> 00:16:51,360 Speaker 2: you've got to do that work because they're not going 296 00:16:51,400 --> 00:16:52,080 Speaker 2: to tell you. 297 00:16:53,560 --> 00:16:58,400 Speaker 1: When you write an article like that. Do you do 298 00:16:58,440 --> 00:17:01,479 Speaker 1: that just for that article and just out of curiosity 299 00:17:01,480 --> 00:17:03,920 Speaker 1: and just to put something good out, or do you 300 00:17:03,960 --> 00:17:06,520 Speaker 1: do that with a view two getting that in your 301 00:17:06,520 --> 00:17:09,320 Speaker 1: little mental refidex just on a filing cabinet in your 302 00:17:09,320 --> 00:17:11,560 Speaker 1: brain and go, I'm probably going to use some of 303 00:17:11,560 --> 00:17:13,399 Speaker 1: this in a book down the track. Or is it 304 00:17:13,440 --> 00:17:15,520 Speaker 1: really just for here and now? 305 00:17:15,960 --> 00:17:19,800 Speaker 2: It starts with here and now. But yeah, I find 306 00:17:19,840 --> 00:17:23,440 Speaker 2: doing it myself means that I know a lot about 307 00:17:23,440 --> 00:17:27,000 Speaker 2: our food supply. You know, I could pay people to 308 00:17:27,040 --> 00:17:30,399 Speaker 2: do this and then just look at the results. But 309 00:17:31,240 --> 00:17:35,720 Speaker 2: I find doing it yourself and understanding exactly what food 310 00:17:35,760 --> 00:17:38,520 Speaker 2: producers are using and what they're not using and how 311 00:17:38,560 --> 00:17:41,440 Speaker 2: that's changing just helps me understand what I'm writing about it. 312 00:17:41,960 --> 00:17:45,920 Speaker 1: Yeah, yeah, all right, let's talk about So you also 313 00:17:46,000 --> 00:17:48,159 Speaker 1: put out another little I don't know if this was 314 00:17:48,200 --> 00:17:49,000 Speaker 1: an article. 315 00:17:48,760 --> 00:17:50,480 Speaker 2: Or just a pause just the post. 316 00:17:50,600 --> 00:17:52,679 Speaker 1: Yeah, just a post. And so there's an image of 317 00:17:52,720 --> 00:17:56,280 Speaker 1: cocoa pops and you write, apparently you can have your 318 00:17:56,320 --> 00:18:01,720 Speaker 1: cake and eat it to cocoa pops, which twenty four 319 00:18:01,720 --> 00:18:04,359 Speaker 1: percent sugar, so a quarter sugar, and get four health 320 00:18:04,359 --> 00:18:07,959 Speaker 1: stars from whoever hands out health stars, the Istralian government, 321 00:18:08,000 --> 00:18:13,280 Speaker 1: I guess indirectly, but what I directly, Yeah, well what 322 00:18:13,320 --> 00:18:18,280 Speaker 1: I loved was and this one, this version of cocoa Pops. 323 00:18:18,840 --> 00:18:22,160 Speaker 1: It's got the promo on the front is seven essential 324 00:18:22,200 --> 00:18:26,159 Speaker 1: vitamins and minerals and it's got source of fiber. It 325 00:18:26,160 --> 00:18:29,320 Speaker 1: doesn't say what, just says those words, and then it 326 00:18:29,359 --> 00:18:33,800 Speaker 1: says twenty five percent less sugar, but nonetheless it's still 327 00:18:33,960 --> 00:18:38,800 Speaker 1: one quarter sugar. Yep. And yeah, go on. 328 00:18:39,400 --> 00:18:43,280 Speaker 2: Yeah, So the normal full strength Cocoa Pops thirty two 329 00:18:43,359 --> 00:18:48,520 Speaker 2: percent sugar and they only get two and a half stars. 330 00:18:48,680 --> 00:18:52,960 Speaker 2: So the little monks at the labs at Cocoa pop 331 00:18:53,040 --> 00:18:56,199 Speaker 2: Land have had a look at the formula used to 332 00:18:56,240 --> 00:18:59,520 Speaker 2: calculate these health stars. He said, do you know what, 333 00:18:59,600 --> 00:19:02,440 Speaker 2: if we chuck a multivitamin in there and really up 334 00:19:02,440 --> 00:19:04,520 Speaker 2: the fiber count and take a little bit of the 335 00:19:04,560 --> 00:19:07,640 Speaker 2: sugar off the top, we could get ourselves four stars. 336 00:19:07,840 --> 00:19:11,840 Speaker 2: This is pretty much health food then, And to me, 337 00:19:12,320 --> 00:19:15,160 Speaker 2: that's the problem with the star system. It is a formula. 338 00:19:15,640 --> 00:19:18,159 Speaker 2: It takes account of a lot of things which are 339 00:19:18,200 --> 00:19:22,680 Speaker 2: frankly irrelevant, which is the fiber content, content, you know, 340 00:19:23,040 --> 00:19:29,159 Speaker 2: things like that, and produces this thing, which is people 341 00:19:29,440 --> 00:19:32,480 Speaker 2: are meant to take as a recommendation. Now, the trouble 342 00:19:32,520 --> 00:19:34,919 Speaker 2: with that is I have found that if as a 343 00:19:34,960 --> 00:19:40,080 Speaker 2: general rule you use it in reverse, it's actually pretty handy. 344 00:19:40,480 --> 00:19:44,280 Speaker 2: So but for example gets one star, margarine gets four 345 00:19:44,400 --> 00:19:50,040 Speaker 2: or five stars, you know you'll find yourself veering towards 346 00:19:50,160 --> 00:19:53,840 Speaker 2: a real food diet, as our ancestors ate, if you 347 00:19:53,920 --> 00:19:59,560 Speaker 2: really just buy one star food and avoid with as 348 00:19:59,640 --> 00:20:02,879 Speaker 2: much as possible anything that's got four or five stars, 349 00:20:02,920 --> 00:20:04,240 Speaker 2: including this garbage. 350 00:20:04,960 --> 00:20:09,240 Speaker 1: How ironic, how funny, how interesting? I mean, there must 351 00:20:09,320 --> 00:20:12,359 Speaker 1: be a couple of exceptions. But as a kind of 352 00:20:12,400 --> 00:20:16,440 Speaker 1: a rough guide. What else off the top of your head, 353 00:20:16,840 --> 00:20:19,520 Speaker 1: what else gets one or two stars from the government 354 00:20:20,000 --> 00:20:23,520 Speaker 1: that you would think is five? 355 00:20:23,600 --> 00:20:28,159 Speaker 2: Well, anything, so anything. The star system bias is heavily 356 00:20:28,200 --> 00:20:32,719 Speaker 2: against saturated fat because in the bad old days of nutrition, 357 00:20:32,840 --> 00:20:35,840 Speaker 2: which is probably still pretty much with us, the dietitians 358 00:20:35,880 --> 00:20:38,119 Speaker 2: say saturated fat is bad for you because they have 359 00:20:38,200 --> 00:20:42,560 Speaker 2: this ridiculous theory that you know, fat makes you fat 360 00:20:43,440 --> 00:20:46,879 Speaker 2: and saturated fat gives you heart disease. And neither of 361 00:20:46,920 --> 00:20:52,119 Speaker 2: those things are true except in very particular circumstances, and 362 00:20:52,200 --> 00:20:55,280 Speaker 2: neither of those things have ever been proven scientifically in 363 00:20:55,359 --> 00:20:58,600 Speaker 2: any kind of a study that anyone would respect. Nevertheless, 364 00:20:59,080 --> 00:21:01,760 Speaker 2: it's the basis of our nutritional advice, and it's certainly 365 00:21:01,800 --> 00:21:05,760 Speaker 2: the basis of the Star system. So anything that's got 366 00:21:05,760 --> 00:21:07,679 Speaker 2: saturated fat in and it's going to do really badly, 367 00:21:07,760 --> 00:21:10,560 Speaker 2: yogat's going to do badly, Cheese is going to do badly. 368 00:21:11,920 --> 00:21:14,560 Speaker 2: You know, milk's going to do badly, except that they 369 00:21:14,560 --> 00:21:16,640 Speaker 2: put an adjustment into the formula to sort of fix 370 00:21:16,720 --> 00:21:18,880 Speaker 2: the fact that milk was doing badly even though it's 371 00:21:18,920 --> 00:21:24,879 Speaker 2: clearly not bad for you, you know. So, and things that 372 00:21:24,960 --> 00:21:28,760 Speaker 2: will do well are things that food manufacturers can look 373 00:21:28,800 --> 00:21:30,560 Speaker 2: at the formula and say, okay, well, how do we 374 00:21:30,600 --> 00:21:34,720 Speaker 2: manipulate this. We reduce the saturated fat content. The best 375 00:21:34,720 --> 00:21:37,080 Speaker 2: way to reduce saturated fat content is used something like 376 00:21:37,160 --> 00:21:41,800 Speaker 2: soy oil or canola or something like that. Lower saturated fat, 377 00:21:41,920 --> 00:21:45,960 Speaker 2: higher polyunsaturated fat. So they're actually doing the opposite of 378 00:21:46,000 --> 00:21:48,600 Speaker 2: what the science says is good for us. They're putting 379 00:21:48,600 --> 00:21:52,560 Speaker 2: our food for polyunsaturated fats. They get more health stars 380 00:21:52,640 --> 00:21:55,679 Speaker 2: by doing it because saturated fat is lower, and the 381 00:21:55,720 --> 00:21:59,119 Speaker 2: formula rewards them for that. And the end result is 382 00:21:59,160 --> 00:22:02,360 Speaker 2: that they recommend foods to us which are really very 383 00:22:02,480 --> 00:22:05,800 Speaker 2: very bad for us. And that's why I say, if 384 00:22:05,840 --> 00:22:08,080 Speaker 2: you must use the health stars, use them in reverse. 385 00:22:10,240 --> 00:22:13,720 Speaker 1: This is a whole other conversation. But some people would 386 00:22:13,760 --> 00:22:17,040 Speaker 1: be listening to this saying, if all that is true. 387 00:22:17,760 --> 00:22:21,199 Speaker 1: You know that butter is not bad, that you know 388 00:22:22,160 --> 00:22:25,480 Speaker 1: steak cooked in you know olive oil is not bad, 389 00:22:25,560 --> 00:22:30,760 Speaker 1: and that cheese is not terrible, and you know, then 390 00:22:31,400 --> 00:22:39,160 Speaker 1: why is the government so slow to catch up to science? 391 00:22:39,560 --> 00:22:41,280 Speaker 1: And like what what? 392 00:22:41,880 --> 00:22:42,119 Speaker 2: You know? 393 00:22:42,160 --> 00:22:42,320 Speaker 1: What? 394 00:22:42,440 --> 00:22:42,520 Speaker 2: For? 395 00:22:42,640 --> 00:22:47,760 Speaker 1: Most people now know that something close to whatever whatever 396 00:22:47,760 --> 00:22:50,320 Speaker 1: you want to call it, a whole whole kind of 397 00:22:50,320 --> 00:22:53,800 Speaker 1: food or paleo where you're eating lots of different meat 398 00:22:53,880 --> 00:22:58,640 Speaker 1: and good oils and veggies and few fruits, and most 399 00:22:58,680 --> 00:23:03,639 Speaker 1: people kind of, I think, understand that that's way more 400 00:23:04,359 --> 00:23:08,000 Speaker 1: healthy than we once thought. Why is it still so? 401 00:23:08,960 --> 00:23:11,840 Speaker 1: Why are we trapped in the food pyramid, you know, 402 00:23:12,600 --> 00:23:15,879 Speaker 1: low fat, high sugar thinking. Why does it take so 403 00:23:16,160 --> 00:23:21,160 Speaker 1: long to change? Is it just because of the leverage 404 00:23:21,200 --> 00:23:25,240 Speaker 1: that companies and organizations have in terms of controlling the 405 00:23:25,280 --> 00:23:28,840 Speaker 1: market and influencing the government or what is it? 406 00:23:28,840 --> 00:23:31,600 Speaker 2: It's a couple of things. It's that which is there's 407 00:23:31,640 --> 00:23:34,720 Speaker 2: a lot of money on the line here. The two 408 00:23:34,960 --> 00:23:39,000 Speaker 2: biggest supply industries in food sugar and seed oils. So 409 00:23:39,520 --> 00:23:44,480 Speaker 2: the big big worldwide conglomerates control both of those and 410 00:23:44,560 --> 00:23:47,360 Speaker 2: they have a strong vested interest in not having those 411 00:23:47,400 --> 00:23:51,160 Speaker 2: markets damaged. But I guess more importantly on the ground 412 00:23:51,480 --> 00:23:54,240 Speaker 2: is I don't know who said it tiful, no doubt 413 00:23:54,720 --> 00:23:57,800 Speaker 2: know it and can look it up. But you know, 414 00:23:58,160 --> 00:24:01,520 Speaker 2: nutrition science or science improves one funeral lot of time, 415 00:24:01,600 --> 00:24:06,119 Speaker 2: and that's never ever more so than in nutrition science. 416 00:24:06,200 --> 00:24:08,560 Speaker 2: What they mean is that you have to wait for 417 00:24:08,640 --> 00:24:11,399 Speaker 2: the previous generation that had built their careers spouting that 418 00:24:11,520 --> 00:24:16,119 Speaker 2: nonsense to move on before anyone's prepared to stand up 419 00:24:16,160 --> 00:24:17,920 Speaker 2: and say, you know what, this is what the ex 420 00:24:17,920 --> 00:24:19,240 Speaker 2: science actually says. 421 00:24:19,560 --> 00:24:19,879 Speaker 1: Yes. 422 00:24:20,200 --> 00:24:22,840 Speaker 2: Yes, people who've spent forty years building a career telling 423 00:24:22,840 --> 00:24:25,480 Speaker 2: you that saturated fat will kill you are hardly going 424 00:24:25,520 --> 00:24:29,560 Speaker 2: to decide five minutes before they retire that oh, actually 425 00:24:29,600 --> 00:24:30,760 Speaker 2: I was wrong the whole time. 426 00:24:31,240 --> 00:24:35,520 Speaker 1: Yeah, yeah, yeah, Well when I did my first degree, 427 00:24:35,560 --> 00:24:37,840 Speaker 1: which wasn't that lot, well it was twenty years ago, 428 00:24:37,880 --> 00:24:41,600 Speaker 1: but even then, that was in two thousand to two 429 00:24:41,600 --> 00:24:44,520 Speaker 1: thousand and three. That's what we were taught, and it 430 00:24:44,560 --> 00:24:48,879 Speaker 1: was already it'd already been kind of disproven in or 431 00:24:48,920 --> 00:24:52,560 Speaker 1: disproved in some circles. But yeah, part of that. 432 00:24:52,520 --> 00:24:57,439 Speaker 2: Trial is it's never actually been proven. The problem is 433 00:24:57,440 --> 00:24:59,760 Speaker 2: that when you actually look at the science on this stuff, 434 00:25:00,240 --> 00:25:03,359 Speaker 2: there were some guesses made, some very big trials funded 435 00:25:03,400 --> 00:25:06,240 Speaker 2: in the sixties and seventies in the United States, and 436 00:25:06,320 --> 00:25:13,360 Speaker 2: they failed to prove anything and didn't get published. And 437 00:25:13,560 --> 00:25:18,239 Speaker 2: so it's not you know, the embarrassment of doing a 438 00:25:18,240 --> 00:25:21,399 Speaker 2: massive trial, wasting millions of dollars of taxpayers money, and 439 00:25:21,440 --> 00:25:23,879 Speaker 2: then failing to prove the theory you set out to prove. 440 00:25:24,760 --> 00:25:30,920 Speaker 2: Overcame everybody, and they didn't publish them anyway. What has happened, though. 441 00:25:30,800 --> 00:25:33,399 Speaker 1: Is there's been some really good work, particularly out of 442 00:25:33,440 --> 00:25:35,680 Speaker 1: the National Institutes of Health in the United States, where 443 00:25:35,680 --> 00:25:38,320 Speaker 1: they have gone back and relooked at the data from 444 00:25:38,320 --> 00:25:43,200 Speaker 1: these trials and concluded, actually, this is what they should 445 00:25:43,200 --> 00:25:48,440 Speaker 1: have published, and things like people on saturated fat diets 446 00:25:48,640 --> 00:25:53,040 Speaker 1: had significantly greater all cause mortality as well as significantly 447 00:25:53,080 --> 00:25:55,760 Speaker 1: greater mortality from heart disease. 448 00:25:56,240 --> 00:25:59,119 Speaker 2: It's no wonder they didn't publish it. Yeah. 449 00:25:59,520 --> 00:26:03,400 Speaker 1: Yeah, there's an article I've just open up. It's called 450 00:26:03,440 --> 00:26:06,520 Speaker 1: ansel Keys the Greatest Scant. So he was the guy, 451 00:26:06,600 --> 00:26:09,800 Speaker 1: he was the head researcher in that thing that you're 452 00:26:09,840 --> 00:26:13,399 Speaker 1: talking about, and it was originally it was either twenty 453 00:26:13,440 --> 00:26:17,040 Speaker 1: one or twenty eight countries that they looked at, and 454 00:26:17,080 --> 00:26:22,440 Speaker 1: they ended up wittling seven. That's right, because it was 455 00:26:22,480 --> 00:26:27,280 Speaker 1: either fourteen or twenty one of the country's bays. 456 00:26:27,400 --> 00:26:27,960 Speaker 2: Convenient. 457 00:26:28,800 --> 00:26:34,520 Speaker 1: Yeah, contradicted, completely contradicted his hypothesis, and so he just 458 00:26:34,640 --> 00:26:38,120 Speaker 1: chucked out all the data that didn't suit him and went, oh, 459 00:26:38,200 --> 00:26:41,800 Speaker 1: we did a seven country study, you know, and forgot 460 00:26:41,960 --> 00:26:45,080 Speaker 1: to tell everyone about all the other countries that didn't 461 00:26:45,119 --> 00:26:47,480 Speaker 1: kind of fit in his fucking narrative. 462 00:26:47,640 --> 00:26:50,399 Speaker 2: Yeah, it has been realalyzed, and when you put all 463 00:26:50,400 --> 00:26:54,400 Speaker 2: those countries back in, what you get is nothing, get 464 00:26:54,480 --> 00:26:58,800 Speaker 2: no correlation between saturated fat intake and heart disease death. 465 00:27:00,200 --> 00:27:02,280 Speaker 2: And that would have been a bit disappointing to publish 466 00:27:02,280 --> 00:27:04,000 Speaker 2: at the time. So I guess he didn't. 467 00:27:04,280 --> 00:27:08,480 Speaker 1: Well, especially when I mean, I'm trying to remember this, 468 00:27:08,520 --> 00:27:14,119 Speaker 1: but I'm pretty sure his research was funded obviously, I 469 00:27:14,119 --> 00:27:16,760 Speaker 1: mean obviously it was funded funded by people who wanted 470 00:27:16,760 --> 00:27:17,600 Speaker 1: a certain outcome. 471 00:27:17,760 --> 00:27:22,080 Speaker 2: So well, not the least him. He and his wife 472 00:27:22,760 --> 00:27:27,800 Speaker 2: created an empire of out of selling the Mediterranean diet. 473 00:27:29,320 --> 00:27:32,719 Speaker 2: So the Key's Mediterranean Diet, I think probably made him 474 00:27:32,720 --> 00:27:34,960 Speaker 2: a very wealthy man as well as his day job 475 00:27:34,960 --> 00:27:37,400 Speaker 2: of being a senior health advisor to the US government. 476 00:27:39,800 --> 00:27:44,520 Speaker 2: And his Mediterranean diet really proceeded on the basis of 477 00:27:44,560 --> 00:27:47,679 Speaker 2: that seven country study, essentially saying, look, the people who 478 00:27:47,720 --> 00:27:49,680 Speaker 2: don't have heart disease are the people who live around 479 00:27:49,680 --> 00:27:53,359 Speaker 2: the Mediterranean, and we're going to copy their diet. Except 480 00:27:53,359 --> 00:27:55,280 Speaker 2: he didn't really bother trying to find out what their 481 00:27:55,320 --> 00:27:58,920 Speaker 2: diet was. He just made up a largely plant based diet. 482 00:27:58,960 --> 00:28:00,360 Speaker 2: With a bit of olive oil in it said, that's 483 00:28:00,359 --> 00:28:01,359 Speaker 2: a Mediterranean diet. 484 00:28:02,359 --> 00:28:07,600 Speaker 1: Of course he did. Oh, Gallespo, you're a gem. So 485 00:28:07,720 --> 00:28:10,360 Speaker 1: everyone Tiff is going to put a link to Glespo's 486 00:28:10,400 --> 00:28:13,879 Speaker 1: sub stack, kind of little extravaganza that he's doing there. 487 00:28:14,040 --> 00:28:18,840 Speaker 1: So he typically puts up one article a week and maybe. 488 00:28:18,600 --> 00:28:22,560 Speaker 2: Another two or three at the moment, go on hot. 489 00:28:22,600 --> 00:28:26,720 Speaker 1: At the moment he's on fire, he's on follow him. 490 00:28:27,080 --> 00:28:27,280 Speaker 2: You know. 491 00:28:27,320 --> 00:28:29,680 Speaker 1: He doesn't get a lot of attention, especially at home. 492 00:28:29,720 --> 00:28:33,240 Speaker 1: His wife fresh airs him, his old news. His kids 493 00:28:33,240 --> 00:28:35,800 Speaker 1: don't acknowledge him anymore. So if you could give him 494 00:28:35,800 --> 00:28:37,600 Speaker 1: a bit of love, that'd be great. And his son, 495 00:28:37,640 --> 00:28:42,160 Speaker 1: who's better looking and smarter, is currently hogging the media spotlight. 496 00:28:42,440 --> 00:28:43,000 Speaker 1: Good for him. 497 00:28:43,760 --> 00:28:46,160 Speaker 2: Yes he will again too in a couple of weeks apparently, 498 00:28:46,200 --> 00:28:48,360 Speaker 2: so stay tuned for that one. 499 00:28:48,800 --> 00:28:50,880 Speaker 1: He's killing it. He's killing it. Will say goodbye fare 500 00:28:50,920 --> 00:28:54,040 Speaker 1: but yet again, mate, thank you, appreciate you, See you later.