1 00:00:05,459 --> 00:00:10,247 Today, I'd like to talk about turning around an epidemic. 2 00:00:10,248 --> 00:00:14,959 One hundred million Americans right now do have either diabetes or pre-diabetes, 3 00:00:14,960 --> 00:00:18,293 and that puts them at risk for amputations, 4 00:00:18,294 --> 00:00:20,833 for heart disease, for blindness. 5 00:00:20,834 --> 00:00:24,613 and we're exporting this epidemic overseas. 6 00:00:24,614 --> 00:00:27,746 The word "epidemic" comes from Old Greek: 7 00:00:27,751 --> 00:00:32,526 'epi' means 'on', 'demos' means 'people', 8 00:00:32,527 --> 00:00:37,269 so an epidemic is something we study with sterile statistics, and maps, and graphs, 9 00:00:37,270 --> 00:00:38,885 but the truth is, it's something 10 00:00:38,886 --> 00:00:44,474 that impinges directly on people, on living, breathing human-beings. 11 00:00:45,152 --> 00:00:48,917 But my story actually starts in the basement of a Minneapolis hospital. 12 00:00:48,918 --> 00:00:53,206 The year before I went to medical school, I was the morgue attendant, 13 00:00:53,207 --> 00:00:55,506 or as I'd like to say, "the autopsy assistant". 14 00:00:55,507 --> 00:00:56,556 What that meant was, 15 00:00:56,557 --> 00:00:59,626 whenever anybody died, I would bring the body out of the cooler, 16 00:00:59,627 --> 00:01:02,051 and put the body on an examination table, 17 00:01:02,052 --> 00:01:04,863 and the pathologist would come into the room. 18 00:01:04,864 --> 00:01:08,759 And one day, a person died in a hospital of a massive heart attack. 19 00:01:08,760 --> 00:01:11,689 Probably from eating hospital food, but that's another story. 20 00:01:11,690 --> 00:01:13,079 (Laughter) 21 00:01:13,080 --> 00:01:16,625 To examine the heart, you have to remove a section of ribs, 22 00:01:16,626 --> 00:01:18,858 and this is not done with great delicacy: 23 00:01:18,859 --> 00:01:21,668 you take what looks like a garden clipper, 24 00:01:21,669 --> 00:01:25,292 and you go crunch, crunch, crunch, through the ribs on this side, 25 00:01:25,293 --> 00:01:28,899 and crunch, crunch, crunch, through the ribs on this side. 26 00:01:28,900 --> 00:01:33,301 And the pathologist pulled this big high wedge of ribs off the chest, 27 00:01:33,302 --> 00:01:34,796 set it on the table. 28 00:01:34,797 --> 00:01:37,390 And he knew I was going to be going to medical school, 29 00:01:37,391 --> 00:01:40,126 so he wanted to make sure that I saw everything. 30 00:01:40,127 --> 00:01:43,626 And he would say, "Neal, look at this. These are the coronary arteries," 31 00:01:43,627 --> 00:01:46,291 - we call them coronary because they crown the heart - 32 00:01:46,292 --> 00:01:50,103 and he sliced one open, and he said, "Look inside." 33 00:01:50,104 --> 00:01:55,775 With my gloved finger, I poked around, and it wasn't a wide open artery, 34 00:01:55,776 --> 00:01:58,873 it had what was sort of like chewing gum inside, 35 00:01:58,874 --> 00:02:01,336 except that it was hard like a rock, and he said, 36 00:02:01,337 --> 00:02:04,291 "That's your bacon and eggs, Neal, that's atherosclerosis." 37 00:02:04,292 --> 00:02:07,126 And we looked at the carotid arteries going to the brain, 38 00:02:07,127 --> 00:02:10,375 the arteries going to the legs, the arteries going to the kidneys. 39 00:02:10,376 --> 00:02:13,881 They all had this hardening of the arteries, that's atherosclerosis. 40 00:02:13,882 --> 00:02:19,082 He said, "We see the beginnings of this in two thirds of people by age 23, 41 00:02:19,083 --> 00:02:21,829 which happened to be the exact age that I was at the time. 42 00:02:21,830 --> 00:02:22,913 (Laughter) 43 00:02:22,914 --> 00:02:24,917 So, anyway, he writes up his findings, 44 00:02:24,918 --> 00:02:28,460 "massive atherosclerosis, acute myocardial infarction," 45 00:02:28,471 --> 00:02:30,583 and he leaves the room. 46 00:02:30,584 --> 00:02:34,445 So, I picked up the ribs and put them back in the chest, 47 00:02:34,446 --> 00:02:36,783 tried to make them fit right with the other ribs, 48 00:02:36,784 --> 00:02:38,782 and I sewed up the skin, and cleaned up, 49 00:02:38,783 --> 00:02:41,470 and then I went out and went up to the cafeteria, 50 00:02:41,471 --> 00:02:44,968 where turned out they were serving ribs for lunch. 51 00:02:44,969 --> 00:02:46,536 (Laughter) 52 00:02:48,959 --> 00:02:51,751 Now, let me tell you something, I knew about ribs. 53 00:02:51,752 --> 00:02:55,543 I grew up in Fargo, North Dakota, I come from a long line of cattle ranchers 54 00:02:55,544 --> 00:02:58,792 and I remember the smell of the cows out in the field, 55 00:02:58,793 --> 00:03:01,730 I remember the smell of the cows in my grandpa's barn 56 00:03:01,731 --> 00:03:04,790 and driving a load of cattle with my uncle to East Saint Louis, 57 00:03:04,791 --> 00:03:06,131 to the National Stockyards, 58 00:03:06,132 --> 00:03:09,375 and I remember the National Stockyards hotel, two dollars a night, 59 00:03:09,376 --> 00:03:11,168 and the smell of that room. 60 00:03:11,169 --> 00:03:12,321 (Laughter) 61 00:03:12,322 --> 00:03:14,293 And I have to say, everyday in my life, 62 00:03:14,294 --> 00:03:16,688 it was roast beef, baked potatoes, and corn. 63 00:03:16,689 --> 00:03:20,483 Except for special occasions, when it was roast beef, baked potatoes, and peas. 64 00:03:20,484 --> 00:03:21,485 (Laughter) 65 00:03:21,486 --> 00:03:23,305 And that's the sort of the way we ate, 66 00:03:23,305 --> 00:03:26,917 but my father did not like the cattle business, so he left, 67 00:03:26,918 --> 00:03:29,794 left the family farm, and he went to medical school. 68 00:03:29,795 --> 00:03:34,458 And he spent his life at the Fargo clinic treating diabetes, 69 00:03:34,459 --> 00:03:37,043 he became a diabetes expert for the whole region. 70 00:03:37,044 --> 00:03:42,333 And I have to say my father really was frustrated 71 00:03:42,334 --> 00:03:45,708 because patients were given diets that they did not like. 72 00:03:45,709 --> 00:03:48,195 What we would say is, or what they would say, 73 00:03:48,196 --> 00:03:52,000 is diabetes is a condition where it's too much sugar in your blood, 74 00:03:52,001 --> 00:03:56,459 so don't eat anything that turns to sugar, so don't eat bread, don't eat fruit, 75 00:03:56,460 --> 00:03:58,861 don't eat pasta, rice, sweet potatoes, 76 00:03:58,862 --> 00:04:01,365 don't eat regular potatoes, beans, don't eat carrots; 77 00:04:01,366 --> 00:04:04,814 all these things had to be limited and while you are at it, cut calories, 78 00:04:04,815 --> 00:04:08,164 and that's what people had to adhere to, that's gets old by Wednesday. 79 00:04:08,165 --> 00:04:12,143 Patients were also given medicines, and they were given needles, 80 00:04:12,144 --> 00:04:15,792 and instructions on how to stick their fingers and how to inject insulin. 81 00:04:15,793 --> 00:04:21,082 And despite all of this, diabetes never got better, 82 00:04:21,083 --> 00:04:23,081 it always progressed, 83 00:04:23,082 --> 00:04:26,833 and it then became something that we're exporting overseas. 84 00:04:26,834 --> 00:04:29,702 And when I got out of medical school, we had more medicines, 85 00:04:29,703 --> 00:04:32,750 and I think we had sharper needles, but to tell you the truth, 86 00:04:32,751 --> 00:04:35,543 it was the same sort of result, we had unhappy patients, 87 00:04:35,544 --> 00:04:39,000 and we've never ever cured this disease, it never turned around, 88 00:04:39,001 --> 00:04:42,257 it was always considered a progressive disease. 89 00:04:43,709 --> 00:04:48,293 But there are two scientific discoveries that really turned all this around. 90 00:04:48,294 --> 00:04:50,939 And the first one was taking the widest possible lens. 91 00:04:50,940 --> 00:04:52,544 If you look around the world, 92 00:04:52,545 --> 00:04:56,917 at those countries that have the least diabetes, like Japan, for example, 93 00:04:56,918 --> 00:04:59,126 they weren't following anything 94 00:04:59,127 --> 00:05:01,499 like the diet we were given to diabetic patients. 95 00:05:01,500 --> 00:05:04,802 They weren't saying, "I'm not going to eat rice, I won't eat noodles," 96 00:05:04,803 --> 00:05:09,014 they eat this kind of food all the time, it's front and center on their plate. 97 00:05:10,125 --> 00:05:14,291 And the second discovery came from looking inside the cell, 98 00:05:14,292 --> 00:05:15,980 especially the muscle cell. 99 00:05:15,981 --> 00:05:18,835 And the reason we look at muscle cells in particular 100 00:05:18,836 --> 00:05:22,335 is that's where glucose is going, that's where blood sugar is going, 101 00:05:22,336 --> 00:05:25,708 that's the fuel that powers your movement. 102 00:05:25,709 --> 00:05:28,166 Do you know about a person who's running a marathon? 103 00:05:28,167 --> 00:05:31,751 What are they doing in the weeks leading up for it? They're carbo-loading. 104 00:05:31,754 --> 00:05:33,972 So they're eating pasta, they're eating bread 105 00:05:33,973 --> 00:05:37,041 to try to get that glucose into the cell for energy. 106 00:05:37,042 --> 00:05:40,375 And that is the problem in diabetes, 107 00:05:40,376 --> 00:05:44,821 because glucose, glucose is there, outside the cell, trying get inside. 108 00:05:44,822 --> 00:05:48,410 In order to get in, it needs a key. And that key is insulin. 109 00:05:48,411 --> 00:05:53,668 Now, what if I get home, and I'm getting up to my front door 110 00:05:53,669 --> 00:05:57,051 and take my key out of the pocket, I put it in the front door-- 111 00:05:57,052 --> 00:05:59,286 Wait a minute, it's not working. 112 00:06:00,375 --> 00:06:04,288 And there's nothing wrong with my key, but I look in the lock, 113 00:06:04,289 --> 00:06:07,374 and while I was gone, somebody put chewing gum in my lock. 114 00:06:07,375 --> 00:06:10,251 So what am I going to do? Crawling in and out the window? No. 115 00:06:10,252 --> 00:06:12,416 I'm going to clean out the lock. 116 00:06:12,417 --> 00:06:16,430 Well, when a person has diabetes, their insulin key is not working. 117 00:06:16,431 --> 00:06:19,375 Why would that be? Why could insulin not signal? 118 00:06:19,376 --> 00:06:23,406 What supposed to happen is the glucose is supposed to enter into the cell. 119 00:06:23,407 --> 00:06:25,656 And [insulin] is the key that makes that happen. 120 00:06:25,656 --> 00:06:27,727 But the reason it doesn't happen 121 00:06:27,728 --> 00:06:30,249 it's not that there's chewing gum inside the cell. 122 00:06:30,250 --> 00:06:34,813 What there is, is fat. Fat, little globules of fat. 123 00:06:34,814 --> 00:06:40,041 I have to say, doctors hate words like "fat",it has one syllable. 124 00:06:40,042 --> 00:06:41,121 (Laughter) 125 00:06:41,125 --> 00:06:45,375 So we want to call it intramyocellular lipid. 126 00:06:45,385 --> 00:06:47,374 (Laughter) 127 00:06:47,375 --> 00:06:53,293 'Intra' means' inside', 'myo' means 'muscle', 'cellular' means 'cellular' 128 00:06:53,293 --> 00:06:54,624 (Laughter) 129 00:06:54,625 --> 00:06:56,499 'lipid' means 'fat'. 130 00:06:56,501 --> 00:06:59,916 Intramyocellular lipid is fat inside your muscle cells, 131 00:06:59,917 --> 00:07:01,627 and that is what interferes 132 00:07:01,628 --> 00:07:06,468 with insulin's ability to work like a key to signal glucose coming in. 133 00:07:07,292 --> 00:07:09,693 In 2003, 134 00:07:09,694 --> 00:07:13,986 The National Institute of Health gave my research team a grant and said, 135 00:07:13,987 --> 00:07:16,543 "Let's test something completely different. 136 00:07:16,544 --> 00:07:20,683 Instead of limiting breads and all these kinds of things, 137 00:07:20,684 --> 00:07:25,291 if fat is the issue, what if we have a diet that has effectively no fat in it?" 138 00:07:25,292 --> 00:07:26,875 Well, where does fat come from? 139 00:07:26,876 --> 00:07:28,168 It comes from two sources: 140 00:07:28,169 --> 00:07:31,583 animal products, animal fat, and vegetable oils. 141 00:07:31,584 --> 00:07:35,791 So we brought in 99 people, and we asked them to do two things: 142 00:07:35,792 --> 00:07:38,833 to really eat a bounty of food and not worrying about quantity, 143 00:07:38,834 --> 00:07:40,833 we're not counting calories here, 144 00:07:40,834 --> 00:07:44,084 we're not counting carb grams or anything like that. 145 00:07:44,085 --> 00:07:45,360 What we're doing instead, 146 00:07:45,361 --> 00:07:49,078 is we're setting the animal products aside keeping the vegetable oils low. 147 00:07:49,079 --> 00:07:50,251 Very simple. 148 00:07:50,252 --> 00:07:53,483 One of our participants was a man named Vance, 149 00:07:53,484 --> 00:07:57,090 and Vance's father was dead by age 30. 150 00:07:57,091 --> 00:08:00,125 Vance was 31 when he was diagnosed with diabetes, 151 00:08:00,126 --> 00:08:02,625 he was in his late 30s when he came to see us. 152 00:08:02,626 --> 00:08:04,998 And he said, "This is not hard!" 153 00:08:05,792 --> 00:08:09,459 Unlike every other diet he'd been on, we didn't care how many carbs he ate, 154 00:08:09,473 --> 00:08:11,668 or how many calories, or how many portions. 155 00:08:11,669 --> 00:08:14,118 If he was having chilli, not a meat chilli, 156 00:08:14,119 --> 00:08:16,413 would be a bean chilli, chunky vegetable chilli. 157 00:08:16,414 --> 00:08:18,980 If he was having spaghetti, instead of a meat topping, 158 00:08:18,981 --> 00:08:20,877 it would be topped with artichoke hearts 159 00:08:20,878 --> 00:08:22,958 and wild mushrooms, and chunky tomato sauce. 160 00:08:22,959 --> 00:08:25,478 So that kind of thing; very, very easy. 161 00:08:25,479 --> 00:08:29,541 Over the course of about a year, he lost 60 pounds, 162 00:08:29,542 --> 00:08:31,875 his blood sugar came down and down, and down, 163 00:08:31,876 --> 00:08:33,986 and one day his doctor sat him down and said, 164 00:08:36,250 --> 00:08:40,416 "Vance, I know you've had family members die of this disease." 165 00:08:40,417 --> 00:08:45,791 But he said, "I look at your blood tests; you don't have it anymore." 166 00:08:45,792 --> 00:08:49,400 And can you imagine what that feels like to have family members who felt 167 00:08:49,401 --> 00:08:53,409 there's this absolutely one way street and have this disease just turn around? 168 00:08:53,410 --> 00:08:56,867 And when I asked Vance's permission to tell you about his story, he said, 169 00:08:56,868 --> 00:09:00,370 "Make sure you tell everybody that my erectile dysfunction went away too." 170 00:09:00,371 --> 00:09:01,426 (Laughter) 171 00:09:01,434 --> 00:09:02,843 Write that down. 172 00:09:02,844 --> 00:09:03,854 (Laughter) 173 00:09:03,855 --> 00:09:06,745 So, we published our findings in peer-reviewed journals, 174 00:09:06,751 --> 00:09:11,729 the American Diabetes Association cites it and accepts this as an effective approach. 175 00:09:11,730 --> 00:09:13,986 And people around the world started using this 176 00:09:13,987 --> 00:09:16,252 and I heard from a man in England, 177 00:09:16,253 --> 00:09:18,550 who wanted to let me know about his experience. 178 00:09:18,551 --> 00:09:20,098 He had had diabetes, 179 00:09:20,099 --> 00:09:22,599 tried all kinds of diets without a lot of success. 180 00:09:22,600 --> 00:09:25,736 And then he heard about our approach, tried it for several weeks, 181 00:09:25,737 --> 00:09:28,635 went to the doctor, the doctor drew a number of blood tests. 182 00:09:28,636 --> 00:09:30,259 And he got home. 183 00:09:30,260 --> 00:09:32,995 The phone rang, "This is the doctor's office. 184 00:09:32,996 --> 00:09:36,075 Could you come back right now? 185 00:09:36,076 --> 00:09:39,619 So he [goes], "Good heavens! What's in my blood test? 186 00:09:39,620 --> 00:09:42,162 He races into his car, he's driving to doctor's office 187 00:09:42,163 --> 00:09:46,110 thinking what disease did they discover on my blood test, what did they find ..." 188 00:09:46,111 --> 00:09:47,162 And he runs into. 189 00:09:47,163 --> 00:09:50,843 They say,"We need you to sit down. Explain exactly what you've been doing." 190 00:09:50,844 --> 00:09:53,166 All traces of his diabetes were gone. 191 00:09:53,167 --> 00:09:55,807 The doctor said, "Your blood tests are better than mine, 192 00:09:55,808 --> 00:09:58,147 and I don't have diabetes, how is this possible?" 193 00:09:58,148 --> 00:10:02,082 The doctor explained to him, "We can never say a person has been cured of diabetes 194 00:10:02,083 --> 00:10:06,644 because we all know that's not possible, but technically, it's not there. 195 00:10:06,645 --> 00:10:08,136 And the doctor was skeptical, 196 00:10:08,137 --> 00:10:11,060 he said, "Come back in two months, I want to test you again." 197 00:10:11,061 --> 00:10:12,302 Never came back. 198 00:10:12,303 --> 00:10:14,063 Now, wait a minute. 199 00:10:14,064 --> 00:10:16,298 Diabetes is genetic, right? 200 00:10:16,299 --> 00:10:17,734 It runs in families. 201 00:10:17,735 --> 00:10:20,300 And there, in fact, are genes for diabetes, 202 00:10:20,301 --> 00:10:22,640 but this is an important thing to remember, 203 00:10:22,641 --> 00:10:25,368 genes are in two categories. 204 00:10:25,369 --> 00:10:28,092 Certain genes are dictators, 205 00:10:28,093 --> 00:10:32,556 I'm talking about the genes that say, 'blue eyes' or 'brown hair'. 206 00:10:32,557 --> 00:10:35,873 They are dictators, they give orders, you can't argue. 207 00:10:35,874 --> 00:10:40,128 But the genes for diabetes are committees. 208 00:10:40,129 --> 00:10:42,639 They're making suggestions. 209 00:10:42,654 --> 00:10:44,872 And you can say, "Wait a minute, 210 00:10:44,873 --> 00:10:47,737 I don't really think I want to have diabetes." 211 00:10:47,738 --> 00:10:51,161 And, in fact, most disease genes, whether it's for heart disease, 212 00:10:51,162 --> 00:10:54,571 or diabetes, or hypertension, certain forms of cancer, 213 00:10:54,572 --> 00:10:57,024 even Alzheimer's disease, 214 00:10:57,025 --> 00:10:59,577 they're not dictators, they're committees. 215 00:10:59,578 --> 00:11:05,200 And their activity depends on what we put into our bodies. 216 00:11:05,201 --> 00:11:08,275 So, what I'm saying is 217 00:11:08,276 --> 00:11:14,117 that we're putting into our bodies foods that we're really not designed for. 218 00:11:15,234 --> 00:11:18,372 Which raises the question: what foods are we really designed for? 219 00:11:18,373 --> 00:11:20,500 There are different ways of looking at this. 220 00:11:20,501 --> 00:11:24,583 And one is called the dental test. Do you know the dental test? 221 00:11:24,584 --> 00:11:28,679 What you do is you wait for your cat to yawn, 222 00:11:28,680 --> 00:11:31,264 and you look in your cat's mouth and what you notice is 223 00:11:31,264 --> 00:11:35,280 in its mouth are these very, very long protruding canine teeth, 224 00:11:35,281 --> 00:11:38,235 and on each side of its mouth, it's just like a pitchfork 225 00:11:38,236 --> 00:11:42,703 that's really good for capturing pray, killing small animals, 226 00:11:42,704 --> 00:11:46,050 and ripping the hide off the flesh and eating meat. 227 00:11:46,051 --> 00:11:48,091 So now look at your own mouth. 228 00:11:48,092 --> 00:11:49,733 What you discover 229 00:11:49,734 --> 00:11:53,645 is that your canine teeth are no longer than your incisors. 230 00:11:53,646 --> 00:11:56,764 And that change occurred at least 3,5 million years ago. 231 00:11:56,765 --> 00:11:59,467 So our molars are really good for crunching on an apple, 232 00:11:59,468 --> 00:12:01,955 they're not so hot for handling roadkill. 233 00:12:01,956 --> 00:12:05,005 There's the bunny test. Do you know the bunny test? 234 00:12:05,006 --> 00:12:06,193 (Laughter) 235 00:12:06,194 --> 00:12:07,935 You take a bunny, 236 00:12:07,936 --> 00:12:11,228 and you put the bunny in front of your cat 237 00:12:11,229 --> 00:12:13,464 (Laughter) 238 00:12:14,504 --> 00:12:16,103 what you discover, 239 00:12:16,104 --> 00:12:20,064 no matter how young your cat is, the cat has this irrepressible desire 240 00:12:20,065 --> 00:12:24,513 to capture, attack, kill, and swallow that bunny. 241 00:12:24,514 --> 00:12:28,007 Now, you put the very same bunny in front of a toddler or baby. (Laughter) 242 00:12:28,007 --> 00:12:30,732 And what you discover is the toddler say, "Bunny, bunny!" 243 00:12:30,733 --> 00:12:33,562 They want to play and the baby is just absolutely delighted, 244 00:12:33,563 --> 00:12:36,389 the idea of killing and eating him would never occur to him 245 00:12:36,390 --> 00:12:37,597 in a million years. 246 00:12:37,598 --> 00:12:39,204 We're learning something here. 247 00:12:39,205 --> 00:12:41,329 Do you know the box test? (Laughter) 248 00:12:41,330 --> 00:12:44,930 You take a box that it was used to carry electronic equipment, 249 00:12:44,931 --> 00:12:49,773 and you look around at the bottom and what you find is silica gel. 250 00:12:49,774 --> 00:12:54,503 And silica gel is there to take moisture out of the box. 251 00:12:54,504 --> 00:12:58,738 And apparently, the manufacturers of silica gel have realized 252 00:12:58,739 --> 00:13:02,389 that human-beings are so indiscriminate in their eating habits, 253 00:13:02,390 --> 00:13:07,789 that they have to put these words on it, "Do not eat". 254 00:13:07,790 --> 00:13:10,129 (Laughter) 255 00:13:10,130 --> 00:13:13,217 So, here's how I put this together: 256 00:13:13,218 --> 00:13:18,421 human-beings are naturally herbivores, but we're really easily thrown off track. 257 00:13:18,422 --> 00:13:20,311 (Laughter) 258 00:13:20,312 --> 00:13:24,254 The fact of the matter is, before the Stone Age, 259 00:13:24,255 --> 00:13:27,724 people would have been just terrible hunters, really. 260 00:13:27,725 --> 00:13:30,118 You know this is true because we're not very quick. 261 00:13:30,118 --> 00:13:32,064 A lion, a lion is quick, 262 00:13:34,355 --> 00:13:37,354 in the forest, a lion can easily catch a gazelle. 263 00:13:37,355 --> 00:13:40,453 A hawk or a falcon can easily catch a mouse. 264 00:13:40,454 --> 00:13:43,389 Humans, we sort of catch cold. That's like it. (Laughter) 265 00:13:43,390 --> 00:13:47,276 We don't really detect pray very well, we don't have sensitive noses. 266 00:13:47,277 --> 00:13:48,575 If you look at the dog, 267 00:13:48,576 --> 00:13:51,785 a dog has a very highly developed sense of smell, 268 00:13:51,786 --> 00:13:54,048 they can detect pray at long distances, 269 00:13:54,049 --> 00:13:56,785 which is why they are used in airports 270 00:13:56,786 --> 00:14:00,347 to detect bombs, and drugs, and that kind of things. 271 00:14:00,348 --> 00:14:02,513 And their sense of hearing far outstrips ours, 272 00:14:02,514 --> 00:14:04,713 they are outfitted to be able to detect pray. 273 00:14:04,714 --> 00:14:08,923 Now, human-beings, we have cute noses and we have cute ears, 274 00:14:08,924 --> 00:14:12,411 but we really are pathetic as hunters. 275 00:14:12,412 --> 00:14:15,553 And if you're going to succeed as a carnivore, 276 00:14:15,554 --> 00:14:18,525 you need good sharp claws, good sharp teeth, 277 00:14:18,526 --> 00:14:20,468 you need to be very, very quick, 278 00:14:20,469 --> 00:14:24,908 and you need to have sensitive hearing, sensitive smell, sensitive vision. 279 00:14:24,909 --> 00:14:27,322 Which actually raises the question: 280 00:14:27,323 --> 00:14:30,463 what is the most sensitive part of the human body? 281 00:14:31,769 --> 00:14:33,336 What do you think? 282 00:14:34,286 --> 00:14:36,040 Well, I actually learned the answer. 283 00:14:36,041 --> 00:14:38,051 As I was coming here, I was at the airport. 284 00:14:38,051 --> 00:14:41,763 And the TSA agent pulled me aside and said, "I got to do a pat down, 285 00:14:41,764 --> 00:14:44,093 and when I get to a sensitive part of your body, 286 00:14:44,094 --> 00:14:45,681 I'll use the back of my hand." 287 00:14:45,682 --> 00:14:47,295 And I realized that apparently, 288 00:14:47,296 --> 00:14:51,957 the most sensitive part of the human body must be our back side, I guess. 289 00:14:51,958 --> 00:14:56,976 So, anyway, what I take from this is that meat eating began somehow. 290 00:14:56,977 --> 00:14:58,239 How did it begin? 291 00:14:58,240 --> 00:15:00,902 I put that question to Richard Leakey. 292 00:15:00,903 --> 00:15:04,023 - Richard Leakey, the famous paleoanthropologist - 293 00:15:04,033 --> 00:15:05,168 and what he said was, 294 00:15:05,169 --> 00:15:08,948 "You know, human-beings as herbivores, you don't have to be quick, 295 00:15:08,953 --> 00:15:11,442 you don't have to be particularly sharp or sensitive 296 00:15:11,443 --> 00:15:14,322 because you don't really have to sneak up on a strawberry, 297 00:15:14,323 --> 00:15:16,394 it's just sitting, not doing anything. 298 00:15:16,403 --> 00:15:20,124 But to become carnivores really took some work. 299 00:15:20,125 --> 00:15:23,188 And it probably started as scavenging." 300 00:15:23,189 --> 00:15:25,550 In other words, a lion doesn't eat everything. 301 00:15:25,551 --> 00:15:28,520 When they walk away from the little pile of bones they've left 302 00:15:28,521 --> 00:15:29,861 there's a little meat there, 303 00:15:29,861 --> 00:15:32,269 and humans could relatively easily sneak in 304 00:15:32,270 --> 00:15:34,933 and cut some of that off and take it back. 305 00:15:34,934 --> 00:15:37,843 Now, that requires having some tools to do that with. 306 00:15:37,844 --> 00:15:40,946 So once the Stone Age arrived, 307 00:15:40,947 --> 00:15:44,110 then we had the possibility of actually doing that. 308 00:15:44,111 --> 00:15:47,050 And once we had arrowheads, and axes, and that sort of thing, 309 00:15:47,051 --> 00:15:48,784 then we were really on to something. 310 00:15:48,785 --> 00:15:53,439 Meat eating really became a big thing. But, we have pre-stone age bodies. 311 00:15:53,440 --> 00:15:57,759 To this day, when a person puts into their body plant foods, 312 00:15:57,760 --> 00:16:00,871 their arteries open up again, their diabetes starts to get better, 313 00:16:00,871 --> 00:16:04,801 their weight starts to come off, their bodies start to recover. 314 00:16:10,716 --> 00:16:15,913 Americans, unfortunately, are really not on a diabetes reversal diet. 315 00:16:15,914 --> 00:16:19,374 Americans today eat more than a million animals per hour. 316 00:16:19,375 --> 00:16:21,958 And the Centers for Disease Control and Prevention say 317 00:16:21,959 --> 00:16:25,117 that one of three kids born in the year 2000 and in the years since 318 00:16:25,117 --> 00:16:28,099 is going to get diabetes at some point in their life. 319 00:16:28,100 --> 00:16:30,888 And you see the truth of it, turn on the television: 320 00:16:30,889 --> 00:16:35,328 half the commercials are for burgers, chicken wings, snack foods, 321 00:16:35,329 --> 00:16:38,338 the other half of the commercials are for medicines 322 00:16:38,339 --> 00:16:41,756 to undue the effects of all the foods that we're eating. 323 00:16:41,757 --> 00:16:43,214 So, that's where we are. 324 00:16:43,214 --> 00:16:44,349 And what if it happened 325 00:16:44,349 --> 00:16:46,558 that instead of a hundred million Americans 326 00:16:46,559 --> 00:16:48,896 having diabetes or pre-diabetes, 327 00:16:48,897 --> 00:16:51,498 what if all hundred million had diabetes itself? 328 00:16:51,499 --> 00:16:53,193 Or more people than that? 329 00:16:53,194 --> 00:16:57,129 All of them need medicines, and testing, and hospital care, and so forth. 330 00:16:57,130 --> 00:16:59,732 Financially, it's a disaster. 331 00:16:59,733 --> 00:17:03,821 But, personally, the personal cost is just incalculable. 332 00:17:03,822 --> 00:17:06,503 I think we're starting to turn the corner: 333 00:17:06,505 --> 00:17:10,199 my family has promoted me for generation after generation, after generation. 334 00:17:10,200 --> 00:17:11,181 However, 335 00:17:11,182 --> 00:17:16,479 in 2004, we reached the peak at 201,5 pounds of meat. 336 00:17:16,480 --> 00:17:18,970 That's what the average person consumed in that year. 337 00:17:18,971 --> 00:17:21,507 And in the subsequent years, it's dropped and dropped, 338 00:17:21,507 --> 00:17:23,050 and we're now under 190, 339 00:17:23,051 --> 00:17:26,348 and hopefully, that downward trend will continue. 340 00:17:26,349 --> 00:17:30,386 But to this day, doctors, dieticians, nurses will say, 341 00:17:30,387 --> 00:17:33,563 "Diabetes is a one way street, it never goes away." 342 00:17:33,564 --> 00:17:35,791 But that was before we looked around the world 343 00:17:35,792 --> 00:17:39,068 and saw, you know, there are dietary patterns that are more helpful. 344 00:17:39,069 --> 00:17:42,727 And that was before we realized that looking inside the cell, 345 00:17:42,728 --> 00:17:44,774 we can understand how this occurs, 346 00:17:44,775 --> 00:17:47,397 and we can understand how to reverse this process. 347 00:17:47,398 --> 00:17:49,068 And it was before we realized 348 00:17:49,069 --> 00:17:54,064 that patients will make bigger changes than we gave them credit for. 349 00:17:54,065 --> 00:17:55,647 So, families like mine, 350 00:17:55,648 --> 00:17:57,778 that have been selling meat for generations, 351 00:17:57,779 --> 00:18:02,102 instead, maybe could sell carrots, asparagus, sweet potatoes, and beans, 352 00:18:02,103 --> 00:18:05,420 and hopefully, the autopsy room will more neglected than ever, 353 00:18:05,421 --> 00:18:08,152 because people are going to live longer, and look better, 354 00:18:08,153 --> 00:18:10,897 and maybe the hospital cafeteria, instead of serving ribs, 355 00:18:10,898 --> 00:18:13,259 could serve a bounty of helpful foods, 356 00:18:13,260 --> 00:18:16,098 and instead of studying epidemics, 357 00:18:16,099 --> 00:18:18,522 maybe we could celebrate a resurgence of health. 358 00:18:18,523 --> 00:18:19,551 Thank you very much. 359 00:18:19,552 --> 00:18:20,603 (Applause)