0:00:05.459,0:00:10.247 Today, I'd like to talk about[br]turning around an epidemic. 0:00:10.248,0:00:14.959 One hundred million Americans right now[br]do have either diabetes or pre-diabetes, 0:00:14.960,0:00:18.293 and that puts them[br]at risk for amputations, 0:00:18.294,0:00:20.833 for heart disease, for blindness. 0:00:20.834,0:00:24.613 and we're exporting[br]this epidemic overseas. 0:00:24.614,0:00:27.746 The word "epidemic" comes from Old Greek: 0:00:27.751,0:00:32.526 'epi' means 'on', 'demos' means 'people', 0:00:32.527,0:00:37.269 so an epidemic is something we study with[br]sterile statistics, and maps, and graphs, 0:00:37.270,0:00:38.885 but the truth is, it's something 0:00:38.886,0:00:44.474 that impinges directly on people,[br]on living, breathing human-beings. 0:00:45.152,0:00:48.917 But my story actually starts[br]in the basement of a Minneapolis hospital. 0:00:48.918,0:00:53.206 The year before I went to medical school,[br]I was the morgue attendant, 0:00:53.207,0:00:55.506 or as I'd like to say,[br]"the autopsy assistant". 0:00:55.507,0:00:56.556 What that meant was, 0:00:56.557,0:00:59.626 whenever anybody died,[br]I would bring the body out of the cooler, 0:00:59.627,0:01:02.051 and put the body on[br]an examination table, 0:01:02.052,0:01:04.863 and the pathologist[br]would come into the room. 0:01:04.864,0:01:08.759 And one day, a person died[br]in a hospital of a massive heart attack. 0:01:08.760,0:01:11.689 Probably from eating hospital food,[br]but that's another story. 0:01:11.690,0:01:13.079 (Laughter) 0:01:13.080,0:01:16.625 To examine the heart,[br]you have to remove a section of ribs, 0:01:16.626,0:01:18.858 and this is not done with great delicacy: 0:01:18.859,0:01:21.668 you take what looks like a garden clipper, 0:01:21.669,0:01:25.292 and you go crunch, crunch, crunch,[br]through the ribs on this side, 0:01:25.293,0:01:28.899 and crunch, crunch, crunch,[br]through the ribs on this side. 0:01:28.900,0:01:33.301 And the pathologist pulled[br]this big high wedge of ribs off the chest, 0:01:33.302,0:01:34.796 set it on the table. 0:01:34.797,0:01:37.390 And he knew I was going to be[br]going to medical school, 0:01:37.391,0:01:40.126 so he wanted to make sure[br]that I saw everything. 0:01:40.127,0:01:43.626 And he would say, "Neal, look at this.[br]These are the coronary arteries," 0:01:43.627,0:01:46.291 - we call them coronary[br]because they crown the heart - 0:01:46.292,0:01:50.103 and he sliced one open,[br]and he said, "Look inside." 0:01:50.104,0:01:55.775 With my gloved finger, I poked around,[br]and it wasn't a wide open artery, 0:01:55.776,0:01:58.873 it had what was sort[br]of like chewing gum inside, 0:01:58.874,0:02:01.336 except that it was hard[br]like a rock, and he said, 0:02:01.337,0:02:04.291 "That's your bacon and eggs,[br]Neal, that's atherosclerosis." 0:02:04.292,0:02:07.126 And we looked at the carotid arteries[br]going to the brain, 0:02:07.127,0:02:10.375 the arteries going to the legs,[br]the arteries going to the kidneys. 0:02:10.376,0:02:13.881 They all had this hardening[br]of the arteries, that's atherosclerosis. 0:02:13.882,0:02:19.082 He said, "We see the beginnings of this[br]in two thirds of people by age 23, 0:02:19.083,0:02:21.829 which happened to be the exact age[br]that I was at the time. 0:02:21.830,0:02:22.913 (Laughter) 0:02:22.914,0:02:24.917 So, anyway, he writes up his findings, 0:02:24.918,0:02:28.460 "massive atherosclerosis,[br]acute myocardial infarction," 0:02:28.471,0:02:30.583 and he leaves the room. 0:02:30.584,0:02:34.445 So, I picked up the ribs[br]and put them back in the chest, 0:02:34.446,0:02:36.783 tried to make them fit[br]right with the other ribs, 0:02:36.784,0:02:38.782 and I sewed up the skin, and cleaned up, 0:02:38.783,0:02:41.470 and then I went out[br]and went up to the cafeteria, 0:02:41.471,0:02:44.968 where turned out[br]they were serving ribs for lunch. 0:02:44.969,0:02:46.536 (Laughter) 0:02:48.959,0:02:51.751 Now, let me tell you something,[br]I knew about ribs. 0:02:51.752,0:02:55.543 I grew up in Fargo, North Dakota,[br]I come from a long line of cattle ranchers 0:02:55.544,0:02:58.792 and I remember the smell[br]of the cows out in the field, 0:02:58.793,0:03:01.730 I remember the smell of the cows[br]in my grandpa's barn 0:03:01.731,0:03:04.790 and driving a load of cattle[br]with my uncle to East Saint Louis, 0:03:04.791,0:03:06.131 to the National Stockyards, 0:03:06.132,0:03:09.375 and I remember the National[br]Stockyards hotel, two dollars a night, 0:03:09.376,0:03:11.168 and the smell of that room. 0:03:11.169,0:03:12.321 (Laughter) 0:03:12.322,0:03:14.293 And I have to say, everyday in my life, 0:03:14.294,0:03:16.688 it was roast beef,[br]baked potatoes, and corn. 0:03:16.689,0:03:20.483 Except for special occasions, when it was[br]roast beef, baked potatoes, and peas. 0:03:20.484,0:03:21.485 (Laughter) 0:03:21.486,0:03:23.305 And that's the sort of the way we ate, 0:03:23.305,0:03:26.917 but my father did not like[br]the cattle business, so he left, 0:03:26.918,0:03:29.794 left the family farm,[br]and he went to medical school. 0:03:29.795,0:03:34.458 And he spent his life at the Fargo clinic[br]treating diabetes, 0:03:34.459,0:03:37.043 he became a diabetes expert[br]for the whole region. 0:03:37.044,0:03:42.333 And I have to say[br]my father really was frustrated 0:03:42.334,0:03:45.708 because patients were given diets[br]that they did not like. 0:03:45.709,0:03:48.195 What we would say is,[br]or what they would say, 0:03:48.196,0:03:52.000 is diabetes is a condition[br]where it's too much sugar in your blood, 0:03:52.001,0:03:56.459 so don't eat anything that turns to sugar,[br]so don't eat bread, don't eat fruit, 0:03:56.460,0:03:58.861 don't eat pasta, rice, sweet potatoes, 0:03:58.862,0:04:01.365 don't eat regular potatoes,[br]beans, don't eat carrots; 0:04:01.366,0:04:04.814 all these things had to be limited[br]and while you are at it, cut calories, 0:04:04.815,0:04:08.164 and that's what people had to adhere to,[br]that's gets old by Wednesday. 0:04:08.165,0:04:12.143 Patients were also given medicines,[br]and they were given needles, 0:04:12.144,0:04:15.792 and instructions on how to stick[br]their fingers and how to inject insulin. 0:04:15.793,0:04:21.082 And despite all of this,[br]diabetes never got better, 0:04:21.083,0:04:23.081 it always progressed, 0:04:23.082,0:04:26.833 and it then became something[br]that we're exporting overseas. 0:04:26.834,0:04:29.702 And when I got out of medical school,[br]we had more medicines, 0:04:29.703,0:04:32.750 and I think we had sharper needles,[br]but to tell you the truth, 0:04:32.751,0:04:35.543 it was the same sort of result,[br]we had unhappy patients, 0:04:35.544,0:04:39.000 and we've never ever cured[br]this disease, it never turned around, 0:04:39.001,0:04:42.257 it was always considered[br]a progressive disease. 0:04:43.709,0:04:48.293 But there are two scientific discoveries[br]that really turned all this around. 0:04:48.294,0:04:50.939 And the first one was taking[br]the widest possible lens. 0:04:50.940,0:04:52.544 If you look around the world, 0:04:52.545,0:04:56.917 at those countries that have the least[br]diabetes, like Japan, for example, 0:04:56.918,0:04:59.126 they weren't following anything 0:04:59.127,0:05:01.499 like the diet we were given[br]to diabetic patients. 0:05:01.500,0:05:04.802 They weren't saying, "I'm not going[br]to eat rice, I won't eat noodles," 0:05:04.803,0:05:09.014 they eat this kind of food all the time,[br]it's front and center on their plate. 0:05:10.125,0:05:14.291 And the second discovery[br]came from looking inside the cell, 0:05:14.292,0:05:15.980 especially the muscle cell. 0:05:15.981,0:05:18.835 And the reason we look[br]at muscle cells in particular 0:05:18.836,0:05:22.335 is that's where glucose is going,[br]that's where blood sugar is going, 0:05:22.336,0:05:25.708 that's the fuel that powers your movement. 0:05:25.709,0:05:28.166 Do you know about a person[br]who's running a marathon? 0:05:28.167,0:05:31.751 What are they doing in the weeks leading[br]up for it? They're carbo-loading. 0:05:31.754,0:05:33.972 So they're eating pasta,[br]they're eating bread 0:05:33.973,0:05:37.041 to try to get that glucose[br]into the cell for energy. 0:05:37.042,0:05:40.375 And that is the problem in diabetes, 0:05:40.376,0:05:44.821 because glucose, glucose is there,[br]outside the cell, trying get inside. 0:05:44.822,0:05:48.410 In order to get in, it needs a key.[br]And that key is insulin. 0:05:48.411,0:05:53.668 Now, what if I get home,[br]and I'm getting up to my front door 0:05:53.669,0:05:57.051 and take my key out of the pocket,[br]I put it in the front door-- 0:05:57.052,0:05:59.286 Wait a minute, it's not working. 0:06:00.375,0:06:04.288 And there's nothing wrong[br]with my key, but I look in the lock, 0:06:04.289,0:06:07.374 and while I was gone,[br]somebody put chewing gum in my lock. 0:06:07.375,0:06:10.251 So what am I going to do?[br]Crawling in and out the window? No. 0:06:10.252,0:06:12.416 I'm going to clean out the lock. 0:06:12.417,0:06:16.430 Well, when a person has diabetes,[br]their insulin key is not working. 0:06:16.431,0:06:19.375 Why would that be?[br]Why could insulin not signal? 0:06:19.376,0:06:23.406 What supposed to happen is the glucose[br]is supposed to enter into the cell. 0:06:23.407,0:06:25.656 And [insulin] is the key[br]that makes that happen. 0:06:25.656,0:06:27.727 But the reason it doesn't happen 0:06:27.728,0:06:30.249 it's not that there's[br]chewing gum inside the cell. 0:06:30.250,0:06:34.813 What there is, is fat.[br]Fat, little globules of fat. 0:06:34.814,0:06:40.041 I have to say, doctors hate[br]words like "fat",it has one syllable. 0:06:40.042,0:06:41.121 (Laughter) 0:06:41.125,0:06:45.375 So we want to call it[br]intramyocellular lipid. 0:06:45.385,0:06:47.374 (Laughter) 0:06:47.375,0:06:53.293 'Intra' means' inside', 'myo' means[br]'muscle', 'cellular' means 'cellular' 0:06:53.293,0:06:54.624 (Laughter) 0:06:54.625,0:06:56.499 'lipid' means 'fat'. 0:06:56.501,0:06:59.916 Intramyocellular lipid is fat[br]inside your muscle cells, 0:06:59.917,0:07:01.627 and that is what interferes 0:07:01.628,0:07:06.468 with insulin's ability to work[br]like a key to signal glucose coming in. 0:07:07.292,0:07:09.693 In 2003, 0:07:09.694,0:07:13.986 The National Institute of Health[br]gave my research team a grant and said, 0:07:13.987,0:07:16.543 "Let's test something[br]completely different. 0:07:16.544,0:07:20.683 Instead of limiting breads[br]and all these kinds of things, 0:07:20.684,0:07:25.291 if fat is the issue, what if we have[br]a diet that has effectively no fat in it?" 0:07:25.292,0:07:26.875 Well, where does fat come from? 0:07:26.876,0:07:28.168 It comes from two sources: 0:07:28.169,0:07:31.583 animal products, animal fat,[br]and vegetable oils. 0:07:31.584,0:07:35.791 So we brought in 99 people,[br]and we asked them to do two things: 0:07:35.792,0:07:38.833 to really eat a bounty of food[br]and not worrying about quantity, 0:07:38.834,0:07:40.833 we're not counting calories here, 0:07:40.834,0:07:44.084 we're not counting carb grams[br]or anything like that. 0:07:44.085,0:07:45.360 What we're doing instead, 0:07:45.361,0:07:49.078 is we're setting the animal products aside[br]keeping the vegetable oils low. 0:07:49.079,0:07:50.251 Very simple. 0:07:50.252,0:07:53.483 One of our participants[br]was a man named Vance, 0:07:53.484,0:07:57.090 and Vance's father was dead by age 30. 0:07:57.091,0:08:00.125 Vance was 31 when he was[br]diagnosed with diabetes, 0:08:00.126,0:08:02.625 he was in his late 30s[br]when he came to see us. 0:08:02.626,0:08:04.998 And he said, "This is not hard!" 0:08:05.792,0:08:09.459 Unlike every other diet he'd been on,[br]we didn't care how many carbs he ate, 0:08:09.473,0:08:11.668 or how many calories,[br]or how many portions. 0:08:11.669,0:08:14.118 If he was having chilli,[br]not a meat chilli, 0:08:14.119,0:08:16.413 would be a bean chilli,[br]chunky vegetable chilli. 0:08:16.414,0:08:18.980 If he was having spaghetti,[br]instead of a meat topping, 0:08:18.981,0:08:20.877 it would be topped[br]with artichoke hearts 0:08:20.878,0:08:22.958 and wild mushrooms,[br]and chunky tomato sauce. 0:08:22.959,0:08:25.478 So that kind of thing; very, very easy. 0:08:25.479,0:08:29.541 Over the course[br]of about a year, he lost 60 pounds, 0:08:29.542,0:08:31.875 his blood sugar came down[br]and down, and down, 0:08:31.876,0:08:33.986 and one day his doctor[br]sat him down and said, 0:08:36.250,0:08:40.416 "Vance, I know you've had[br]family members die of this disease." 0:08:40.417,0:08:45.791 But he said, "I look at your blood tests;[br]you don't have it anymore." 0:08:45.792,0:08:49.400 And can you imagine what that feels like[br]to have family members who felt 0:08:49.401,0:08:53.409 there's this absolutely one way street[br]and have this disease just turn around? 0:08:53.410,0:08:56.867 And when I asked Vance's permission[br]to tell you about his story, he said, 0:08:56.868,0:09:00.370 "Make sure you tell everybody that[br]my erectile dysfunction went away too." 0:09:00.371,0:09:01.426 (Laughter) 0:09:01.434,0:09:02.843 Write that down. 0:09:02.844,0:09:03.854 (Laughter) 0:09:03.855,0:09:06.745 So, we published our findings[br]in peer-reviewed journals, 0:09:06.751,0:09:11.729 the American Diabetes Association cites it[br]and accepts this as an effective approach. 0:09:11.730,0:09:13.986 And people around the world[br]started using this 0:09:13.987,0:09:16.252 and I heard from a man in England, 0:09:16.253,0:09:18.550 who wanted to let me know[br]about his experience. 0:09:18.551,0:09:20.098 He had had diabetes, 0:09:20.099,0:09:22.599 tried all kinds of diets[br]without a lot of success. 0:09:22.600,0:09:25.736 And then he heard about our approach,[br]tried it for several weeks, 0:09:25.737,0:09:28.635 went to the doctor,[br]the doctor drew a number of blood tests. 0:09:28.636,0:09:30.259 And he got home. 0:09:30.260,0:09:32.995 The phone rang,[br]"This is the doctor's office. 0:09:32.996,0:09:36.075 Could you come back right now? 0:09:36.076,0:09:39.619 So he [goes], "Good heavens![br]What's in my blood test? 0:09:39.620,0:09:42.162 He races into his car,[br]he's driving to doctor's office 0:09:42.163,0:09:46.110 thinking what disease did they discover[br]on my blood test, what did they find ..." 0:09:46.111,0:09:47.162 And he runs into. 0:09:47.163,0:09:50.843 They say,"We need you to sit down.[br]Explain exactly what you've been doing." 0:09:50.844,0:09:53.166 All traces of his diabetes were gone. 0:09:53.167,0:09:55.807 The doctor said,[br]"Your blood tests are better than mine, 0:09:55.808,0:09:58.147 and I don't have diabetes,[br]how is this possible?" 0:09:58.148,0:10:02.082 The doctor explained to him, "We can never[br]say a person has been cured of diabetes 0:10:02.083,0:10:06.644 because we all know that's not possible,[br]but technically, it's not there. 0:10:06.645,0:10:08.136 And the doctor was skeptical, 0:10:08.137,0:10:11.060 he said, "Come back in two months,[br]I want to test you again." 0:10:11.061,0:10:12.302 Never came back. 0:10:12.303,0:10:14.063 Now, wait a minute. 0:10:14.064,0:10:16.298 Diabetes is genetic, right? 0:10:16.299,0:10:17.734 It runs in families. 0:10:17.735,0:10:20.300 And there, in fact,[br]are genes for diabetes, 0:10:20.301,0:10:22.640 but this is an important thing[br]to remember, 0:10:22.641,0:10:25.368 genes are in two categories. 0:10:25.369,0:10:28.092 Certain genes are dictators, 0:10:28.093,0:10:32.556 I'm talking about the genes that say,[br]'blue eyes' or 'brown hair'. 0:10:32.557,0:10:35.873 They are dictators,[br]they give orders, you can't argue. 0:10:35.874,0:10:40.128 But the genes for diabetes are committees. 0:10:40.129,0:10:42.639 They're making suggestions. 0:10:42.654,0:10:44.872 And you can say, "Wait a minute, 0:10:44.873,0:10:47.737 I don't really think[br]I want to have diabetes." 0:10:47.738,0:10:51.161 And, in fact, most disease genes,[br]whether it's for heart disease, 0:10:51.162,0:10:54.571 or diabetes, or hypertension,[br]certain forms of cancer, 0:10:54.572,0:10:57.024 even Alzheimer's disease, 0:10:57.025,0:10:59.577 they're not dictators, they're committees. 0:10:59.578,0:11:05.200 And their activity depends on[br]what we put into our bodies. 0:11:05.201,0:11:08.275 So, what I'm saying is 0:11:08.276,0:11:14.117 that we're putting into our bodies[br]foods that we're really not designed for. 0:11:15.234,0:11:18.372 Which raises the question:[br]what foods are we really designed for? 0:11:18.373,0:11:20.500 There are different ways[br]of looking at this. 0:11:20.501,0:11:24.583 And one is called the dental test.[br]Do you know the dental test? 0:11:24.584,0:11:28.679 What you do is you wait[br]for your cat to yawn, 0:11:28.680,0:11:31.264 and you look in your cat's mouth[br]and what you notice is 0:11:31.264,0:11:35.280 in its mouth are these very, very long[br]protruding canine teeth, 0:11:35.281,0:11:38.235 and on each side of its mouth,[br]it's just like a pitchfork 0:11:38.236,0:11:42.703 that's really good for capturing pray,[br]killing small animals, 0:11:42.704,0:11:46.050 and ripping the hide off the flesh[br]and eating meat. 0:11:46.051,0:11:48.091 So now look at your own mouth. 0:11:48.092,0:11:49.733 What you discover 0:11:49.734,0:11:53.645 is that your canine teeth[br]are no longer than your incisors. 0:11:53.646,0:11:56.764 And that change occurred[br]at least 3,5 million years ago. 0:11:56.765,0:11:59.467 So our molars are really good[br]for crunching on an apple, 0:11:59.468,0:12:01.955 they're not so hot for handling roadkill. 0:12:01.956,0:12:05.005 There's the bunny test.[br]Do you know the bunny test? 0:12:05.006,0:12:06.193 (Laughter) 0:12:06.194,0:12:07.935 You take a bunny, 0:12:07.936,0:12:11.228 and you put the bunny[br]in front of your cat 0:12:11.229,0:12:13.464 (Laughter) 0:12:14.504,0:12:16.103 what you discover, 0:12:16.104,0:12:20.064 no matter how young your cat is,[br]the cat has this irrepressible desire 0:12:20.065,0:12:24.513 to capture, attack, kill,[br]and swallow that bunny. 0:12:24.514,0:12:28.007 Now, you put the very same bunny[br]in front of a toddler or baby. (Laughter) 0:12:28.007,0:12:30.732 And what you discover is[br]the toddler say, "Bunny, bunny!" 0:12:30.733,0:12:33.562 They want to play and the baby[br]is just absolutely delighted, 0:12:33.563,0:12:36.389 the idea of killing and eating him[br]would never occur to him 0:12:36.390,0:12:37.597 in a million years. 0:12:37.598,0:12:39.204 We're learning something here. 0:12:39.205,0:12:41.329 Do you know the box test?[br](Laughter) 0:12:41.330,0:12:44.930 You take a box that it was used[br]to carry electronic equipment, 0:12:44.931,0:12:49.773 and you look around at the bottom[br]and what you find is silica gel. 0:12:49.774,0:12:54.503 And silica gel is there[br]to take moisture out of the box. 0:12:54.504,0:12:58.738 And apparently, the manufacturers[br]of silica gel have realized 0:12:58.739,0:13:02.389 that human-beings are so indiscriminate[br]in their eating habits, 0:13:02.390,0:13:07.789 that they have to put[br]these words on it, "Do not eat". 0:13:07.790,0:13:10.129 (Laughter) 0:13:10.130,0:13:13.217 So, here's how I put this together: 0:13:13.218,0:13:18.421 human-beings are naturally herbivores,[br]but we're really easily thrown off track. 0:13:18.422,0:13:20.311 (Laughter) 0:13:20.312,0:13:24.254 The fact of the matter is,[br]before the Stone Age, 0:13:24.255,0:13:27.724 people would have been[br]just terrible hunters, really. 0:13:27.725,0:13:30.118 You know this is true[br]because we're not very quick. 0:13:30.118,0:13:32.064 A lion, a lion is quick, 0:13:34.355,0:13:37.354 in the forest,[br]a lion can easily catch a gazelle. 0:13:37.355,0:13:40.453 A hawk or a falcon[br]can easily catch a mouse. 0:13:40.454,0:13:43.389 Humans, we sort of catch cold.[br]That's like it. (Laughter) 0:13:43.390,0:13:47.276 We don't really detect pray very well,[br]we don't have sensitive noses. 0:13:47.277,0:13:48.575 If you look at the dog, 0:13:48.576,0:13:51.785 a dog has a very highly[br]developed sense of smell, 0:13:51.786,0:13:54.048 they can detect pray at long distances, 0:13:54.049,0:13:56.785 which is why they are used in airports 0:13:56.786,0:14:00.347 to detect bombs, and drugs,[br]and that kind of things. 0:14:00.348,0:14:02.513 And their sense of hearing[br]far outstrips ours, 0:14:02.514,0:14:04.713 they are outfitted[br]to be able to detect pray. 0:14:04.714,0:14:08.923 Now, human-beings, we have[br]cute noses and we have cute ears, 0:14:08.924,0:14:12.411 but we really are pathetic as hunters. 0:14:12.412,0:14:15.553 And if you're going to succeed[br]as a carnivore, 0:14:15.554,0:14:18.525 you need good sharp claws,[br]good sharp teeth, 0:14:18.526,0:14:20.468 you need to be very, very quick, 0:14:20.469,0:14:24.908 and you need to have sensitive hearing,[br]sensitive smell, sensitive vision. 0:14:24.909,0:14:27.322 Which actually raises the question: 0:14:27.323,0:14:30.463 what is the most sensitive part[br]of the human body? 0:14:31.769,0:14:33.336 What do you think? 0:14:34.286,0:14:36.040 Well, I actually learned the answer. 0:14:36.041,0:14:38.051 As I was coming here,[br]I was at the airport. 0:14:38.051,0:14:41.763 And the TSA agent pulled me aside[br]and said, "I got to do a pat down, 0:14:41.764,0:14:44.093 and when I get to a sensitive part[br]of your body, 0:14:44.094,0:14:45.681 I'll use the back of my hand." 0:14:45.682,0:14:47.295 And I realized that apparently, 0:14:47.296,0:14:51.957 the most sensitive part of the human body[br]must be our back side, I guess. 0:14:51.958,0:14:56.976 So, anyway, what I take from this[br]is that meat eating began somehow. 0:14:56.977,0:14:58.239 How did it begin? 0:14:58.240,0:15:00.902 I put that question to Richard Leakey. 0:15:00.903,0:15:04.023 - Richard Leakey,[br]the famous paleoanthropologist - 0:15:04.033,0:15:05.168 and what he said was, 0:15:05.169,0:15:08.948 "You know, human-beings as herbivores,[br]you don't have to be quick, 0:15:08.953,0:15:11.442 you don't have to be[br]particularly sharp or sensitive 0:15:11.443,0:15:14.322 because you don't really have[br]to sneak up on a strawberry, 0:15:14.323,0:15:16.394 it's just sitting, not doing anything. 0:15:16.403,0:15:20.124 But to become carnivores[br]really took some work. 0:15:20.125,0:15:23.188 And it probably started as scavenging." 0:15:23.189,0:15:25.550 In other words,[br]a lion doesn't eat everything. 0:15:25.551,0:15:28.520 When they walk away[br]from the little pile of bones they've left 0:15:28.521,0:15:29.861 there's a little meat there, 0:15:29.861,0:15:32.269 and humans could[br]relatively easily sneak in 0:15:32.270,0:15:34.933 and cut some of that off and take it back. 0:15:34.934,0:15:37.843 Now, that requires having[br]some tools to do that with. 0:15:37.844,0:15:40.946 So once the Stone Age arrived, 0:15:40.947,0:15:44.110 then we had the possibility[br]of actually doing that. 0:15:44.111,0:15:47.050 And once we had arrowheads,[br]and axes, and that sort of thing, 0:15:47.051,0:15:48.784 then we were really on to something. 0:15:48.785,0:15:53.439 Meat eating really became a big thing.[br]But, we have pre-stone age bodies. 0:15:53.440,0:15:57.759 To this day, when a person puts[br]into their body plant foods, 0:15:57.760,0:16:00.871 their arteries open up again,[br]their diabetes starts to get better, 0:16:00.871,0:16:04.801 their weight starts to come off,[br]their bodies start to recover. 0:16:10.716,0:16:15.913 Americans, unfortunately, are[br]really not on a diabetes reversal diet. 0:16:15.914,0:16:19.374 Americans today eat more[br]than a million animals per hour. 0:16:19.375,0:16:21.958 And the Centers for Disease Control[br]and Prevention say 0:16:21.959,0:16:25.117 that one of three kids born[br]in the year 2000 and in the years since 0:16:25.117,0:16:28.099 is going to get diabetes[br]at some point in their life. 0:16:28.100,0:16:30.888 And you see the truth of it,[br]turn on the television: 0:16:30.889,0:16:35.328 half the commercials are for burgers,[br]chicken wings, snack foods, 0:16:35.329,0:16:38.338 the other half of the commercials[br]are for medicines 0:16:38.339,0:16:41.756 to undue the effects[br]of all the foods that we're eating. 0:16:41.757,0:16:43.214 So, that's where we are. 0:16:43.214,0:16:44.349 And what if it happened 0:16:44.349,0:16:46.558 that instead[br]of a hundred million Americans 0:16:46.559,0:16:48.896 having diabetes or pre-diabetes, 0:16:48.897,0:16:51.498 what if all hundred million[br]had diabetes itself? 0:16:51.499,0:16:53.193 Or more people than that? 0:16:53.194,0:16:57.129 All of them need medicines, and testing,[br]and hospital care, and so forth. 0:16:57.130,0:16:59.732 Financially, it's a disaster. 0:16:59.733,0:17:03.821 But, personally,[br]the personal cost is just incalculable. 0:17:03.822,0:17:06.503 I think we're starting[br]to turn the corner: 0:17:06.505,0:17:10.199 my family has promoted me for generation[br]after generation, after generation. 0:17:10.200,0:17:11.181 However, 0:17:11.182,0:17:16.479 in 2004, we reached the peak[br]at 201,5 pounds of meat. 0:17:16.480,0:17:18.970 That's what the average person[br]consumed in that year. 0:17:18.971,0:17:21.507 And in the subsequent years,[br]it's dropped and dropped, 0:17:21.507,0:17:23.050 and we're now under 190, 0:17:23.051,0:17:26.348 and hopefully,[br]that downward trend will continue. 0:17:26.349,0:17:30.386 But to this day, doctors,[br]dieticians, nurses will say, 0:17:30.387,0:17:33.563 "Diabetes is a one way street,[br]it never goes away." 0:17:33.564,0:17:35.791 But that was before[br]we looked around the world 0:17:35.792,0:17:39.068 and saw, you know, there are[br]dietary patterns that are more helpful. 0:17:39.069,0:17:42.727 And that was before we realized[br]that looking inside the cell, 0:17:42.728,0:17:44.774 we can understand how this occurs, 0:17:44.775,0:17:47.397 and we can understand[br]how to reverse this process. 0:17:47.398,0:17:49.068 And it was before we realized 0:17:49.069,0:17:54.064 that patients will make bigger changes[br]than we gave them credit for. 0:17:54.065,0:17:55.647 So, families like mine, 0:17:55.648,0:17:57.778 that have been selling meat[br]for generations, 0:17:57.779,0:18:02.102 instead, maybe could sell carrots,[br]asparagus, sweet potatoes, and beans, 0:18:02.103,0:18:05.420 and hopefully, the autopsy room[br]will more neglected than ever, 0:18:05.421,0:18:08.152 because people are going to live longer,[br]and look better, 0:18:08.153,0:18:10.897 and maybe the hospital cafeteria,[br]instead of serving ribs, 0:18:10.898,0:18:13.259 could serve a bounty of helpful foods, 0:18:13.260,0:18:16.098 and instead of studying epidemics, 0:18:16.099,0:18:18.522 maybe we could celebrate[br]a resurgence of health. 0:18:18.523,0:18:19.551 Thank you very much. 0:18:19.552,0:18:20.603 (Applause)