1 00:00:03,669 --> 00:00:02,070 we looked at all kinds of diseases the 2 00:00:05,510 --> 00:00:03,679 chinese government gave to this and 3 00:00:08,629 --> 00:00:05,520 measured things in blood and urine as i 4 00:00:10,549 --> 00:00:08,639 said we had that it was uh literally 5 00:00:12,310 --> 00:00:10,559 more than a hundred thousand 6 00:00:13,990 --> 00:00:12,320 correlation coefficients of everything 7 00:00:15,589 --> 00:00:14,000 being related everything else and then 8 00:00:17,349 --> 00:00:15,599 we were trying to sort out you know what 9 00:00:19,029 --> 00:00:17,359 was statistically significant not and 10 00:00:20,950 --> 00:00:19,039 then you take it a step further 11 00:00:22,390 --> 00:00:20,960 exploring these individual trees and 12 00:00:24,550 --> 00:00:22,400 this forest 13 00:00:25,910 --> 00:00:24,560 in a sense and so these are just a list 14 00:00:27,670 --> 00:00:25,920 of some of the relationships that we 15 00:00:29,669 --> 00:00:27,680 looked looked at 16 00:00:31,189 --> 00:00:29,679 a little bit reductionist 17 00:00:32,950 --> 00:00:31,199 one thing at a time 18 00:00:34,069 --> 00:00:32,960 that i'm sort of criticized in a sense 19 00:00:36,389 --> 00:00:34,079 but 20 00:00:37,670 --> 00:00:36,399 i mean to understand how these these 21 00:00:39,750 --> 00:00:37,680 relationships 22 00:00:41,670 --> 00:00:39,760 really work is helpful because it it 23 00:00:43,190 --> 00:00:41,680 tends to set the mosaic 24 00:00:45,990 --> 00:00:43,200 you know what the larger picture might 25 00:00:47,910 --> 00:00:46,000 look like and so and this is basically 26 00:00:49,990 --> 00:00:47,920 is all published stuff so we had the 27 00:00:53,430 --> 00:00:50,000 advantage of you know having our peers 28 00:00:54,389 --> 00:00:53,440 look at in fact what we were doing um 29 00:00:55,990 --> 00:00:54,399 and so 30 00:00:57,590 --> 00:00:56,000 just a couple of observations from that 31 00:00:59,110 --> 00:00:57,600 i'll come back to what that means in a 32 00:01:01,029 --> 00:00:59,120 second 33 00:01:03,349 --> 00:01:01,039 it turns out that the blood questionable 34 00:01:06,149 --> 00:01:03,359 levels in the chinese population 35 00:01:07,830 --> 00:01:06,159 were really below 150 milligrams per 36 00:01:09,350 --> 00:01:07,840 deciliter 37 00:01:11,270 --> 00:01:09,360 which was sort of unheard of in those 38 00:01:13,030 --> 00:01:11,280 days i mean their range was 39 00:01:14,469 --> 00:01:13,040 their range of averages for the 40 00:01:16,950 --> 00:01:14,479 different counties 41 00:01:18,149 --> 00:01:16,960 was from 90 to 170 their high was near 42 00:01:19,590 --> 00:01:18,159 or low 43 00:01:21,429 --> 00:01:19,600 so we're working with a population where 44 00:01:25,190 --> 00:01:21,439 cholesterol levels are really pretty low 45 00:01:27,270 --> 00:01:25,200 you know going from 970 i mean ours goes 46 00:01:29,429 --> 00:01:27,280 more or less from 150 to 300 or 47 00:01:31,429 --> 00:01:29,439 something like that but to look at any 48 00:01:33,510 --> 00:01:31,439 possible correlation going from let's 49 00:01:35,190 --> 00:01:33,520 say 90 to 150 50 00:01:36,469 --> 00:01:35,200 we saw i didn't think we would see a 51 00:01:38,310 --> 00:01:36,479 whole lot 52 00:01:39,590 --> 00:01:38,320 because in that population in rural 53 00:01:41,190 --> 00:01:39,600 china they're mostly consuming 54 00:01:43,190 --> 00:01:41,200 plant-based foods 55 00:01:45,030 --> 00:01:43,200 some animal-based foods of course 56 00:01:47,830 --> 00:01:45,040 there's a certain range 57 00:01:49,510 --> 00:01:47,840 so we didn't think we'd see a whole lot 58 00:01:50,789 --> 00:01:49,520 based on that but it was it was kind of 59 00:01:52,870 --> 00:01:50,799 exciting to have the opportunity of 60 00:01:55,270 --> 00:01:52,880 looking that at this and i'll just throw 61 00:01:57,429 --> 00:01:55,280 that one here out consume more calories 62 00:02:00,789 --> 00:01:57,439 that's worth a couple of seminars but 63 00:02:02,550 --> 00:02:00,799 basically counting calories don't count 64 00:02:03,749 --> 00:02:02,560 you know as much as what people like to 65 00:02:05,749 --> 00:02:03,759 think they do 66 00:02:08,150 --> 00:02:05,759 it's the way we actually metabolize and 67 00:02:10,070 --> 00:02:08,160 experience the use of these calories um 68 00:02:11,270 --> 00:02:10,080 that that really matters so here's 69 00:02:14,470 --> 00:02:11,280 another 70 00:02:16,470 --> 00:02:14,480 heresy that rose from the china study 71 00:02:18,869 --> 00:02:16,480 uh i mean this is huge that i hate to 72 00:02:22,550 --> 00:02:18,879 sort of be so conscriptive you know 73 00:02:24,390 --> 00:02:22,560 on all this information but um basically 74 00:02:26,150 --> 00:02:24,400 looking at the data management different 75 00:02:27,350 --> 00:02:26,160 ways relatively small intakes of 76 00:02:29,750 --> 00:02:27,360 animal-based foods are associated with 77 00:02:31,589 --> 00:02:29,760 the secret there you have it 78 00:02:33,830 --> 00:02:31,599 and coming from the dairy farms i did 79 00:02:35,270 --> 00:02:33,840 and eating that way and all this kind of 80 00:02:37,430 --> 00:02:35,280 stuff you don't get into this particular 81 00:02:38,869 --> 00:02:37,440 point in time getting really robust 82 00:02:40,550 --> 00:02:38,879 evidence 83 00:02:42,550 --> 00:02:40,560 you know involving multiple different 84 00:02:44,710 --> 00:02:42,560 kinds of diseases involving the 85 00:02:45,990 --> 00:02:44,720 convergence you know of nutrient 86 00:02:47,509 --> 00:02:46,000 experiences 87 00:02:49,030 --> 00:02:47,519 in the form of food 88 00:02:51,830 --> 00:02:49,040 really kind of put the story together in 89 00:02:54,710 --> 00:02:51,840 a way which was very exciting 90 00:02:56,229 --> 00:02:54,720 and so this is what the china study sort 91 00:02:58,470 --> 00:02:56,239 of showed us 92 00:03:00,070 --> 00:02:58,480 in addition to 93 00:03:02,550 --> 00:03:00,080 giving us some evidence what that 94 00:03:04,070 --> 00:03:02,560 context was all about 95 00:03:05,990 --> 00:03:04,080 the vast majority of those things i 96 00:03:07,190 --> 00:03:06,000 showed before of these hypothetical 97 00:03:10,390 --> 00:03:07,200 cause infections socially favored 98 00:03:12,390 --> 00:03:10,400 nutrient composition plant-based foods 99 00:03:14,229 --> 00:03:12,400 uh and consuming a plant-based and this 100 00:03:15,670 --> 00:03:14,239 is key here at whole foods i'm not 101 00:03:17,830 --> 00:03:15,680 talking about taking the nutrients out 102 00:03:19,030 --> 00:03:17,840 of plants and putting them in a pill 103 00:03:21,030 --> 00:03:19,040 they don't work 104 00:03:22,470 --> 00:03:21,040 nutrient supplements don't work 105 00:03:24,149 --> 00:03:22,480 in the long run they really don't a lot 106 00:03:26,790 --> 00:03:24,159 of people think yes nutrition that's 107 00:03:30,550 --> 00:03:26,800 pharmacology in my mind that's not not 108 00:03:31,509 --> 00:03:30,560 really nutrition but in any case um 109 00:03:33,910 --> 00:03:31,519 so 110 00:03:36,789 --> 00:03:33,920 less pillow protein no animal protein 111 00:03:38,869 --> 00:03:36,799 less okay then it's consistent i mean i 112 00:03:40,710 --> 00:03:38,879 i i'm general i'm really summarizing a 113 00:03:41,589 --> 00:03:40,720 whole lot of stuff here but that's more 114 00:03:43,670 --> 00:03:41,599 sort of 115 00:03:45,509 --> 00:03:43,680 i guess the main observation that i like 116 00:03:47,030 --> 00:03:45,519 bring to your attention 117 00:03:48,390 --> 00:03:47,040 and to 118 00:03:50,149 --> 00:03:48,400 address that question concerning 119 00:03:52,229 --> 00:03:50,159 nutrient supplements for which there's 120 00:03:54,630 --> 00:03:52,239 been a multi-billion dollar industry for 121 00:03:56,390 --> 00:03:54,640 the last 20 30 years everybody takes our 122 00:03:58,789 --> 00:03:56,400 nutrient supplements in the hope of 123 00:04:01,589 --> 00:03:58,799 getting something out of it um i've 124 00:04:03,429 --> 00:04:01,599 always had the the thought that uh 125 00:04:05,350 --> 00:04:03,439 that's uh 126 00:04:06,869 --> 00:04:05,360 that that's questionable to even assume 127 00:04:08,550 --> 00:04:06,879 that in the long run they sort of 128 00:04:10,869 --> 00:04:08,560 violate the sense you know what nature 129 00:04:12,630 --> 00:04:10,879 is all about the idea that we can take a 130 00:04:15,429 --> 00:04:12,640 single nutrient and throw it into our 131 00:04:16,789 --> 00:04:15,439 body at some doses at the wrong time and 132 00:04:18,710 --> 00:04:16,799 expect to get the kind of results the 133 00:04:20,629 --> 00:04:18,720 fact that we want 134 00:04:21,509 --> 00:04:20,639 that we have now a lot of evidence that 135 00:04:23,990 --> 00:04:21,519 that's 136 00:04:25,510 --> 00:04:24,000 really not likely to be true and in fact 137 00:04:27,670 --> 00:04:25,520 just recently in the last four or five 138 00:04:29,510 --> 00:04:27,680 years six seven years or so there's been 139 00:04:30,629 --> 00:04:29,520 actually quite a number of really good 140 00:04:32,629 --> 00:04:30,639 reviews 141 00:04:34,710 --> 00:04:32,639 of all these trials that have been done 142 00:04:37,749 --> 00:04:34,720 on sickle nutrients 143 00:04:39,590 --> 00:04:37,759 and those those robust reviews the most 144 00:04:42,310 --> 00:04:39,600 recent one involved in 58 different 145 00:04:44,310 --> 00:04:42,320 studies over the past 15 years or so are 146 00:04:46,469 --> 00:04:44,320 making conclusions they don't work i 147 00:04:47,990 --> 00:04:46,479 mean here's a couple of statements here 148 00:04:49,590 --> 00:04:48,000 no evidence to support antioxidant 149 00:04:51,430 --> 00:04:49,600 supplements prevent mortality you can 150 00:04:53,430 --> 00:04:51,440 see it for yourself beta-carotene 151 00:04:56,390 --> 00:04:53,440 vitamin a vitamin and now we can add 152 00:04:58,629 --> 00:04:56,400 some more like omega-3s 153 00:05:00,790 --> 00:04:58,639 recent studies are showing this too that 154 00:05:02,390 --> 00:05:00,800 those kinds of supplements that people 155 00:05:03,909 --> 00:05:02,400 like to think are nutrients they're sort 156 00:05:05,990 --> 00:05:03,919 of the magic tricks that people think 157 00:05:07,830 --> 00:05:06,000 they're going to want to use 158 00:05:08,790 --> 00:05:07,840 they're not working they actually can 159 00:05:10,790 --> 00:05:08,800 increase 160 00:05:13,510 --> 00:05:10,800 significantly some of these diseases and 161 00:05:15,510 --> 00:05:13,520 perhaps you know total mortality even 162 00:05:17,430 --> 00:05:15,520 so i want i'll just point this out 163 00:05:18,790 --> 00:05:17,440 because what i'm talking about is whole 164 00:05:20,150 --> 00:05:18,800 foods 165 00:05:22,790 --> 00:05:20,160 you know not not the individual 166 00:05:24,390 --> 00:05:22,800 nutrients along the way and so now it 167 00:05:27,350 --> 00:05:24,400 raises some new questions and when i got 168 00:05:28,870 --> 00:05:27,360 together with my son who at the time was 169 00:05:31,510 --> 00:05:28,880 a graduate in theater he was an actor in 170 00:05:33,350 --> 00:05:31,520 chicago good good writer got him to help 171 00:05:34,710 --> 00:05:33,360 me to write uh he's now in medical 172 00:05:36,310 --> 00:05:34,720 school by the way i had to give him 173 00:05:38,629 --> 00:05:36,320 credit 174 00:05:39,909 --> 00:05:38,639 he's a co-author when we sit down to do 175 00:05:41,270 --> 00:05:39,919 the book 176 00:05:42,790 --> 00:05:41,280 uh i wanted to go back and 177 00:05:44,870 --> 00:05:42,800 systematically look at some things that 178 00:05:46,710 --> 00:05:44,880 i had kind of paid attention to over the 179 00:05:48,550 --> 00:05:46,720 years but look a little more seriously 180 00:05:49,749 --> 00:05:48,560 and i was asked this question how is 181 00:05:50,950 --> 00:05:49,759 this information that we're learning 182 00:05:52,550 --> 00:05:50,960 from the gender studies learning from 183 00:05:54,870 --> 00:05:52,560 the experimental studies how is this 184 00:05:56,710 --> 00:05:54,880 information 185 00:05:58,870 --> 00:05:56,720 uh related to let's say findings of 186 00:06:01,990 --> 00:05:58,880 others and colleagues maybe that haven't 187 00:06:03,510 --> 00:06:02,000 been having been noticed and uh 188 00:06:05,670 --> 00:06:03,520 here's one gentleman here called 189 00:06:06,790 --> 00:06:05,680 esselstyn at the cleveland clinic nell a 190 00:06:08,550 --> 00:06:06,800 good friend 191 00:06:10,710 --> 00:06:08,560 a very distinguished surgeon from many 192 00:06:12,230 --> 00:06:10,720 years cleveland clinton he he he's got 193 00:06:14,550 --> 00:06:12,240 as much distinction professionally and 194 00:06:16,309 --> 00:06:14,560 personally as probably any anyone in in 195 00:06:18,710 --> 00:06:16,319 the field by far 196 00:06:21,189 --> 00:06:18,720 any case he did a study here where just 197 00:06:22,309 --> 00:06:21,199 very briefly i'm going to say it took 18 198 00:06:24,230 --> 00:06:22,319 patients 199 00:06:26,390 --> 00:06:24,240 with heart disease 200 00:06:29,430 --> 00:06:26,400 seriously it was heart disease 201 00:06:30,870 --> 00:06:29,440 these were these are 8 17 men one woman 202 00:06:32,550 --> 00:06:30,880 these are people who have been told by 203 00:06:34,629 --> 00:06:32,560 the physician time's up 204 00:06:37,909 --> 00:06:34,639 we can't do anything more for you 205 00:06:39,510 --> 00:06:37,919 very sick very advanced they had had 49 206 00:06:42,230 --> 00:06:39,520 cardiovascular during eight years prior 207 00:06:46,550 --> 00:06:43,590 eight you know 208 00:06:48,469 --> 00:06:46,560 49 that's about three apiece 209 00:06:49,670 --> 00:06:48,479 they went from that after he put him on 210 00:06:51,430 --> 00:06:49,680 the same kind of diet that we're 211 00:06:52,790 --> 00:06:51,440 learning about in the china study 212 00:06:54,629 --> 00:06:52,800 we didn't know each other at the time 213 00:06:56,150 --> 00:06:54,639 this is this is his game 214 00:06:58,070 --> 00:06:56,160 uh and he was doing this for other 215 00:07:00,629 --> 00:06:58,080 reasons and the results that he got in 216 00:07:02,469 --> 00:07:00,639 fact was that he went from 49 to zero 217 00:07:04,550 --> 00:07:02,479 during 12 years of following 218 00:07:07,270 --> 00:07:04,560 and now it's actually in exercise of 20. 219 00:07:09,189 --> 00:07:07,280 sometimes 23 years one person in that 220 00:07:13,029 --> 00:07:09,199 group there's three have died 221 00:07:17,510 --> 00:07:15,270 one did have a coronary vent but that 222 00:07:18,629 --> 00:07:17,520 person that that man actually strayed a 223 00:07:20,150 --> 00:07:18,639 bit from the 224 00:07:21,589 --> 00:07:20,160 from the idea 225 00:07:23,350 --> 00:07:21,599 and so it's sort of proof of the pudding 226 00:07:26,629 --> 00:07:23,360 in a sense he came back and everything 227 00:07:28,390 --> 00:07:26,639 was fine so uh i mean 228 00:07:30,390 --> 00:07:28,400 you can see for yourself here i mean 229 00:07:32,790 --> 00:07:30,400 going from 230 00:07:35,189 --> 00:07:32,800 those 49 countermeasures zero 231 00:07:36,710 --> 00:07:35,199 it's a drug companies had had 10 of that 232 00:07:39,830 --> 00:07:36,720 effect we'd all heard about in the 233 00:07:44,150 --> 00:07:42,070 why is this 234 00:07:46,150 --> 00:07:44,160 you know not not not considered more and 235 00:07:47,589 --> 00:07:46,160 incidentally this is the same thing what 236 00:07:49,830 --> 00:07:47,599 we are learning from the scientific and 237 00:07:52,950 --> 00:07:49,840 theoretical point of views is for in our 238 00:07:54,710 --> 00:07:52,960 own studies um and so i could go i've 239 00:07:56,869 --> 00:07:54,720 got a bunch of slides you know going to 240 00:07:59,189 --> 00:07:56,879 multiple sclerosis and rheumatoid 241 00:08:01,430 --> 00:07:59,199 arthritis and osteoporosis and different 242 00:08:04,230 --> 00:08:01,440 kinds of cancers we have data now that 243 00:08:05,909 --> 00:08:04,240 really is all just spectacular like this 244 00:08:08,070 --> 00:08:05,919 and so here's just a list 245 00:08:10,629 --> 00:08:08,080 here's a list of some things all these 246 00:08:12,150 --> 00:08:10,639 diseases as far as the diet is concerned 247 00:08:13,909 --> 00:08:12,160 we're talking about whole plant-based 248 00:08:17,110 --> 00:08:13,919 foods 249 00:08:20,710 --> 00:08:17,120 the same diet whole food plant-based 250 00:08:23,510 --> 00:08:20,720 prevents suspense and here's the kicker 251 00:08:25,350 --> 00:08:23,520 cures all these diseases 252 00:08:26,869 --> 00:08:25,360 it's truly amazing i they'll have a 253 00:08:28,390 --> 00:08:26,879 chance to get into that what do you 254 00:08:30,550 --> 00:08:28,400 think of this diet as a means of 255 00:08:31,909 --> 00:08:30,560 preventing these diseases 256 00:08:32,870 --> 00:08:31,919 we now 257 00:08:34,550 --> 00:08:32,880 know 258 00:08:36,709 --> 00:08:34,560 and look at the literature 259 00:08:38,389 --> 00:08:36,719 that it has this very broad effect of 260 00:08:39,589 --> 00:08:38,399 all kinds of on all kinds of illnesses 261 00:08:42,070 --> 00:08:39,599 diseases 262 00:08:45,030 --> 00:08:42,080 and actually when used even in fairly 263 00:08:47,990 --> 00:08:45,040 advanced stages we can see results 264 00:08:49,910 --> 00:08:48,000 just almost immediately 265 00:08:51,590 --> 00:08:49,920 to see reversal type 2 diabetes for 266 00:08:52,949 --> 00:08:51,600 example i have a physician friend in 267 00:08:55,750 --> 00:08:52,959 california 268 00:08:57,350 --> 00:08:55,760 who takes in uh type 2 diabetics 269 00:08:58,550 --> 00:08:57,360 very sick 270 00:09:00,470 --> 00:08:58,560 when they come in 271 00:09:02,389 --> 00:09:00,480 puts them through a 10-day period he 272 00:09:03,509 --> 00:09:02,399 says give me all your meds 273 00:09:05,030 --> 00:09:03,519 he gets them and sticks them in a 274 00:09:06,310 --> 00:09:05,040 cabinet locks the keys they're not going 275 00:09:08,150 --> 00:09:06,320 to happen 276 00:09:09,910 --> 00:09:08,160 because when he puts them on this diet 277 00:09:11,190 --> 00:09:09,920 their their need for insulin goes down 278 00:09:13,190 --> 00:09:11,200 so fast 279 00:09:15,670 --> 00:09:13,200 that were they to stay on the insulin 280 00:09:16,710 --> 00:09:15,680 medications they'd go into hypoglycemic 281 00:09:18,710 --> 00:09:16,720 shock 282 00:09:22,630 --> 00:09:18,720 that's how potent it really is 283 00:09:23,910 --> 00:09:22,640 um and so this is just a list of 284 00:09:25,430 --> 00:09:23,920 some of these 285 00:09:27,350 --> 00:09:25,440 diseases obviously some of them very 286 00:09:29,910 --> 00:09:27,360 serious other sort of nuisance kind of 287 00:09:32,470 --> 00:09:30,870 i mean it's 288 00:09:33,269 --> 00:09:32,480 well i don't need to say more i don't 289 00:09:34,389 --> 00:09:33,279 think 290 00:09:37,350 --> 00:09:34,399 um 291 00:09:40,070 --> 00:09:37,360 it also promotes physical fitness 292 00:09:42,790 --> 00:09:40,080 i that might seem a bit odd but i've 293 00:09:44,949 --> 00:09:42,800 worked with some world-class athletes 294 00:09:46,310 --> 00:09:44,959 including one fellow who is the all-pro 295 00:09:48,230 --> 00:09:46,320 and for the kansas city chiefs is going 296 00:09:50,150 --> 00:09:48,240 to be in the hall of fame he's he holds 297 00:09:52,550 --> 00:09:50,160 the all-time record most touchdowns most 298 00:09:54,230 --> 00:09:52,560 large game i mean he a couple years i 299 00:09:56,389 --> 00:09:54,240 got the book because he was saw somebody 300 00:09:58,710 --> 00:09:56,399 on the plane using it he decided to