1 00:00:00,520 --> 00:00:02,560 Speaker 1: One of the really cool things about doing what I 2 00:00:02,640 --> 00:00:05,080 do is you get to meet with sometimes and talk 3 00:00:05,160 --> 00:00:08,480 with people who become intellectual heroes to you. And I 4 00:00:08,519 --> 00:00:11,119 don't have very many intellectual heroes because I try not 5 00:00:11,160 --> 00:00:15,960 to have human heroes. But intellectually speaking, Greg Glassman, founder, 6 00:00:16,039 --> 00:00:19,399 former CEO of CrossFit, is that to me. This is 7 00:00:19,399 --> 00:00:22,600 a guy who observed in a multi billion dollar industry 8 00:00:22,600 --> 00:00:26,079 of fitness, no one could actually say what fitness meant. 9 00:00:27,399 --> 00:00:30,679 So he put this amazing scientific mind with which God 10 00:00:30,679 --> 00:00:33,600 has gifted him to work and figured out how would 11 00:00:33,640 --> 00:00:36,359 you define fitness and then how would you achieve it. 12 00:00:37,240 --> 00:00:40,039 People who don't understand the basis of CrossFit don't understand 13 00:00:40,039 --> 00:00:42,640 that that's the way it disrupted the fitness industry by 14 00:00:42,679 --> 00:00:46,920 actually defining the thing people were seeking. Greg joins me 15 00:00:46,960 --> 00:00:49,600 in the studio today to talk about a number of things. 16 00:00:49,759 --> 00:00:52,640 First of all, a huge tragedy that happened in CrossFit, 17 00:00:53,280 --> 00:00:56,240 the drowning of an athlete. I think you find what 18 00:00:56,240 --> 00:00:59,560 Greg says about this balanced and fair and emotional, and 19 00:00:59,600 --> 00:01:01,880 I was taken aback. He's become a friend of mine 20 00:01:02,159 --> 00:01:04,439 and I rarely see this form of emotion from him. 21 00:01:04,719 --> 00:01:07,680 But the athletes in that sport. He loves him. He 22 00:01:07,719 --> 00:01:11,239 also has good friends who still help run CrossFit. But 23 00:01:11,400 --> 00:01:14,319 Greg came here to talk about science and how it's 24 00:01:14,319 --> 00:01:18,799 been destroyed. It's been destroyed by money seekers, people who 25 00:01:18,840 --> 00:01:21,879 are willing to lie in scientific studies. They did it 26 00:01:21,920 --> 00:01:24,959 to Greg. They did it to him to try to 27 00:01:24,959 --> 00:01:28,799 take a CrossFit out. Greg beat them in court, and 28 00:01:28,879 --> 00:01:32,719 my judgment, he's the first to really destroy big Sugar 29 00:01:32,799 --> 00:01:34,760 in court. You'll hear about that. 30 00:01:37,200 --> 00:01:40,719 Speaker 2: The Todd Herman Show is one hundred percent disapproved by 31 00:01:40,799 --> 00:01:47,719 big pharma technocrats and tyrants everywhere. No from the high 32 00:01:47,840 --> 00:01:54,799 mountains of Free America. Here's the Emerald City exile Todd Herman. 33 00:02:10,240 --> 00:02:12,240 Speaker 1: So day is a day the Lord has made, and 34 00:02:12,319 --> 00:02:14,360 these are the times to which God has decided we 35 00:02:14,360 --> 00:02:16,719 shall live. And sitting here with me, my friend, I 36 00:02:16,759 --> 00:02:20,400 am so honored to call you friend, Greg Glassman. We 37 00:02:20,479 --> 00:02:23,240 met just through I guess, the happenings of God. People 38 00:02:23,280 --> 00:02:25,439 said you should talk to this guy Herman. He did 39 00:02:25,479 --> 00:02:29,240 some things, the Rush Limbaugh connection. And I got to 40 00:02:29,240 --> 00:02:31,120 show you run Idaho, you and your family and who 41 00:02:31,120 --> 00:02:33,039 came up here, show you knew an old Idaho. You 42 00:02:33,120 --> 00:02:35,840 told me that day. We're friends now and that meant 43 00:02:35,840 --> 00:02:38,639 so much to me. I never anticipated meeting such a 44 00:02:38,759 --> 00:02:42,159 kind and uneffacing, unassuming man. Thank you for that, but 45 00:02:42,520 --> 00:02:44,159 thank you, and you know it really is a. 46 00:02:46,719 --> 00:02:49,919 Speaker 3: Had I not done CrossFit, were you not Todd Herman 47 00:02:50,039 --> 00:02:53,199 doing Todd Herman things, we still would have met. Because 48 00:02:53,240 --> 00:02:56,439 it was the crowdingers that I ran into at North 49 00:02:56,560 --> 00:03:00,680 forty and I fell in love with their dog, Gus. 50 00:03:00,919 --> 00:03:02,319 I actually been all the way to my house in 51 00:03:02,319 --> 00:03:05,719 Santa Cruse and jumped into the koi pond after the koi. Yeah, 52 00:03:05,759 --> 00:03:09,039 but I met, I met them, and they knew you, 53 00:03:09,120 --> 00:03:12,439 and it was a pretty kind of an old school meeting. 54 00:03:12,639 --> 00:03:16,199 Speaker 1: Yeah. Yeah, Well it's been a blessing. And you made 55 00:03:16,240 --> 00:03:19,560 some predictions when you create a CrossFit that people said 56 00:03:19,759 --> 00:03:21,960 could never happen, and I want to talk about that. 57 00:03:22,039 --> 00:03:24,199 I want to talk quickly about the Games this year, 58 00:03:24,240 --> 00:03:27,000 this tragedy with a Lazarre Jusic and what happened there. 59 00:03:27,120 --> 00:03:29,680 We're sitting here chatting with Greg Glassman, and I know 60 00:03:29,719 --> 00:03:32,800 we're going to talk to today about the corruption of 61 00:03:32,879 --> 00:03:36,039 science and how it's been corrupted for money. Money can 62 00:03:36,080 --> 00:03:38,879 corrupt many many things, as Greg well knows. And that's 63 00:03:38,879 --> 00:03:40,319 a well known story about cross what we need to 64 00:03:40,360 --> 00:03:43,800 talk about sometime. My friend Zach Abraham fights this on 65 00:03:43,879 --> 00:03:48,280 behalf of his customers. Zach is a fiduciary. He has 66 00:03:48,319 --> 00:03:51,360 to put our financial interest above his own. That is 67 00:03:51,400 --> 00:03:55,039 so so vital, and Zach does this at Bulwarck Capital 68 00:03:55,080 --> 00:03:58,639 Management by actively managing every portfolio, which can reduce risk 69 00:03:58,680 --> 00:04:02,080 and volatility. He's coming up to a free live webinar. 70 00:04:02,199 --> 00:04:05,439 This is three thirty Pacific time coming up. This is 71 00:04:05,479 --> 00:04:08,120 the twenty sixth of September, so just around the corner. 72 00:04:08,639 --> 00:04:11,039 Zach's gon to look at how current events are affecting 73 00:04:11,080 --> 00:04:15,159 people's retirement portfolios and understand this. Your retirement portfolios were 74 00:04:15,199 --> 00:04:19,600 created for a prehistoric time, back when there were rules 75 00:04:19,639 --> 00:04:23,079 about finances, Back when a company that had eight percent 76 00:04:23,120 --> 00:04:26,279 growth per quarter in revenue pretty good wasn't going to 77 00:04:26,279 --> 00:04:30,439 see an eighty thousand percent increase in its stock value, 78 00:04:30,560 --> 00:04:34,240 which is happening. In other words, your retirement portfolio was 79 00:04:34,240 --> 00:04:37,120 set up for a time when things weren't insane. Join 80 00:04:37,240 --> 00:04:39,519 the Zach in this free live webinar and learn how 81 00:04:39,600 --> 00:04:43,120 you can mitigate risk, how actively managing your portfolio can 82 00:04:43,160 --> 00:04:45,839 actually reduce risk and volatility, and how bolwork does all 83 00:04:45,879 --> 00:04:48,079 of that. This is free to attend, but you have 84 00:04:48,160 --> 00:04:50,959 to register. Go to Know Your Risk Radio dot com. 85 00:04:51,000 --> 00:04:54,600 That's know Know Your Risk Radio dot com. 86 00:04:54,720 --> 00:04:58,079 Speaker 4: Investment advisory services offered through Track Financial llcn SEC registered 87 00:04:58,120 --> 00:05:00,600 investment advisor. The opinions expressed in this PROG for general 88 00:05:00,600 --> 00:05:02,959 informational purposes only, and are not intended to provide specific 89 00:05:02,959 --> 00:05:05,879 advice or recommendations for any individual or on any specific security. 90 00:05:05,879 --> 00:05:07,920 Any references to performance of security so are thought to 91 00:05:07,920 --> 00:05:10,800 be materially accurate, and actual performance may different. Investments involved 92 00:05:10,879 --> 00:05:13,519 risk and are not guaranteed. Past performance doesn't guarantee future results. 93 00:05:13,519 --> 00:05:14,639 Track twenty four three zero WA. 94 00:05:14,720 --> 00:05:17,439 Speaker 1: You predicted you could produce athletes who could squat five 95 00:05:17,480 --> 00:05:20,399 hundred pounds and turn around and run if correct. If 96 00:05:20,399 --> 00:05:23,560 I'm wrong, a sub five minute mile, could perform high 97 00:05:23,600 --> 00:05:27,800 level gymnastics, and could do all these things. Given your 98 00:05:27,839 --> 00:05:34,199 thesis as CrossFit, that CrossFit is constantly varied functional movements 99 00:05:34,240 --> 00:05:37,120 perform that high intensity in order to perform increase work 100 00:05:37,160 --> 00:05:39,959 capacity across broad time and modal spectrums. 101 00:05:40,199 --> 00:05:43,199 Speaker 5: Yeah that's close. Yeah, that's close. 102 00:05:43,279 --> 00:05:46,839 Speaker 1: I'm nervous that to the creator of that, I'm nervous, 103 00:05:47,040 --> 00:05:48,480 but that came true. 104 00:05:49,839 --> 00:05:53,959 Speaker 3: Yeah, you know, the first fundamental theorem of CrossFit is 105 00:05:54,000 --> 00:05:59,279 that constantly very high intensity functional movement would increase work 106 00:05:59,319 --> 00:06:01,040 capacity across broad. 107 00:06:00,759 --> 00:06:03,639 Speaker 5: Time and motal domains. Got okay, it's very. 108 00:06:03,439 --> 00:06:07,439 Speaker 3: Close, close enough, and you know. 109 00:06:09,000 --> 00:06:09,560 Speaker 5: That went. 110 00:06:10,959 --> 00:06:14,759 Speaker 3: That went unchallenged, and so people had every kind of 111 00:06:14,839 --> 00:06:18,120 problem you could imagine with CrossFit, but no one said 112 00:06:18,680 --> 00:06:19,480 that's wrong. 113 00:06:20,639 --> 00:06:24,759 Speaker 5: And with time, what I would what. 114 00:06:24,839 --> 00:06:28,480 Speaker 3: Comes to be what you're hearing there in constantly very 115 00:06:28,519 --> 00:06:32,680 high intensity functional movement increases work capacity across broad time 116 00:06:32,720 --> 00:06:37,759 and modal domains. What we have is CrossFit in the 117 00:06:37,879 --> 00:06:41,920 constantly very high intensity functional movement and fitness in the 118 00:06:42,000 --> 00:06:45,079 increased work capacity across broad time and modal domains. Now 119 00:06:45,439 --> 00:06:48,959 what's important here is that we are going to call 120 00:06:49,439 --> 00:06:52,879 an increase in work capacity across broad time and motal domains. 121 00:06:53,120 --> 00:06:55,959 We're going to define that as fitness, and you have 122 00:06:55,959 --> 00:06:59,240 a right to do that. Definitions aren't right or wrong. 123 00:06:59,319 --> 00:07:02,480 They're consistent, since are inconsistent. They're useful or not, they 124 00:07:02,519 --> 00:07:06,000 produce utility or not right. And so you know, if 125 00:07:06,000 --> 00:07:08,519 you're going to call if you're going to call that house, 126 00:07:08,560 --> 00:07:09,240 plant a tiger. 127 00:07:09,279 --> 00:07:09,720 Speaker 5: I'm okay. 128 00:07:09,759 --> 00:07:11,399 Speaker 3: As long as I know that when you say tiger 129 00:07:11,480 --> 00:07:14,439 that's what you're referring to, that Ficus benjamina or whatever 130 00:07:14,480 --> 00:07:17,480 it is, we can we can still communicate. But what 131 00:07:17,519 --> 00:07:20,680 we did was we adopted work capacity across broad time 132 00:07:20,720 --> 00:07:23,920 and modal domains as a definition of fitness. And then 133 00:07:24,040 --> 00:07:26,240 what we told the world is that this will have 134 00:07:26,319 --> 00:07:31,279 application for any and all activities. And that in fact 135 00:07:31,319 --> 00:07:34,839 turned out to be true. And the expression of that 136 00:07:35,199 --> 00:07:37,879 in local communities, and what I mean by expression, the 137 00:07:37,920 --> 00:07:41,279 application of that concept to your friends and neighbors in 138 00:07:41,319 --> 00:07:45,279 the barn gave living proof to the to the very concept. 139 00:07:45,319 --> 00:07:53,680 And so without looking for Japanese string quartets traveling internationally 140 00:07:54,160 --> 00:07:58,000 or heavy metal bands, they came forward to say they 141 00:07:58,040 --> 00:08:00,160 were crossfitters. And this was true of AST or not 142 00:08:00,279 --> 00:08:03,560 its football players, rugby players to fill in the gat 143 00:08:03,680 --> 00:08:05,399 war fighters right, are proud. 144 00:08:05,399 --> 00:08:07,399 Speaker 5: It's huge, sponders, huge. 145 00:08:07,360 --> 00:08:09,959 Speaker 1: Huge thing in the CrossFit community. And my point I'm 146 00:08:09,959 --> 00:08:13,160 bringing this up is part way to bridge into you 147 00:08:13,240 --> 00:08:15,959 come from a scientific background, given the virtue of your 148 00:08:16,000 --> 00:08:18,480 families and your minds, the minds of your parents will 149 00:08:18,480 --> 00:08:22,160 talk about that, but these predictions came true also in 150 00:08:22,279 --> 00:08:25,839 terms of reversing type two diabetes and heart disease and 151 00:08:25,959 --> 00:08:29,240 metabolic disorder. These are things you wrote about. These aren't guesses. 152 00:08:29,439 --> 00:08:31,439 You don't have to guess that Greg said these. Greg 153 00:08:31,439 --> 00:08:34,840 Glassman wrote these things down, so you have a scientific mind. 154 00:08:34,879 --> 00:08:36,679 You've had scientific outcomes, and I want to get to 155 00:08:36,679 --> 00:08:40,240 that real quickly. When I first met Greg, it was 156 00:08:40,399 --> 00:08:43,360 at in person. I've been talking with them on the 157 00:08:43,360 --> 00:08:45,720 phone many, many times, hours at a time. In fact, 158 00:08:46,240 --> 00:08:47,960 Greg was kind enough to invite me down to heat 159 00:08:47,960 --> 00:08:51,960 and his wife's home in your Pataluma, California, and that 160 00:08:52,159 --> 00:08:54,879 was pretty Again this is a word I have used 161 00:08:54,919 --> 00:08:56,519 maybe three times in my life. It was a little 162 00:08:56,519 --> 00:08:59,960 surreal to be driving up to Greg's home and here 163 00:08:59,759 --> 00:09:03,720 are all these legends of the sports sport that I love. 164 00:09:04,080 --> 00:09:05,840 And I had said, hey, what can I bring? Like 165 00:09:06,360 --> 00:09:08,679 Mama raised me that you bring stuff to someone's house. 166 00:09:09,200 --> 00:09:11,240 And Greg was so kindy laughs to Todd, We've got 167 00:09:11,320 --> 00:09:13,960 so much of steak and lobster. And I mean, if 168 00:09:13,960 --> 00:09:15,600 you want to bring something, that's great, but you please 169 00:09:15,639 --> 00:09:18,440 don't feel like you have to. But I know Greg, 170 00:09:18,480 --> 00:09:20,759 and I know is love. I know his love for 171 00:09:21,080 --> 00:09:24,639 the military, I mean Crossfits has been not really joined 172 00:09:24,639 --> 00:09:26,240 at the hip, but has been working with the Navy 173 00:09:26,279 --> 00:09:30,440 Seals and training first responders for years. So I brought 174 00:09:30,480 --> 00:09:33,279 a bag of bone Frog coffee. If you were willing 175 00:09:33,320 --> 00:09:35,360 to bring a bag of coffee as a gift to 176 00:09:35,440 --> 00:09:37,960 a guy with as much financial success as Greg has 177 00:09:38,000 --> 00:09:40,240 and as much Philanthropus E. Gauge as in as how 178 00:09:40,320 --> 00:09:42,399 kind he is with his friend, you must really love 179 00:09:42,399 --> 00:09:45,559 the coffee. I do. Bone Frog coffee is made by 180 00:09:45,559 --> 00:09:48,240 my friend Tim Krookshank, a retired Navy Seal who did 181 00:09:48,240 --> 00:09:50,720 three tours of duty on our behalf, and he was 182 00:09:50,799 --> 00:09:53,120 coached in that by a guy named Dave Stewart who's 183 00:09:53,120 --> 00:09:56,080 a coffee legend. He created Seattle's Best coffee. And I 184 00:09:56,080 --> 00:09:58,240 don't remember the blend I brought. I think it was 185 00:09:58,279 --> 00:10:01,120 probably the Bone Fog Classic. If I did do it again, 186 00:10:01,159 --> 00:10:03,279 I'd probably used the goat Locker blend that gave that 187 00:10:03,320 --> 00:10:06,559 to someone the other day. Funny story about this. I 188 00:10:06,720 --> 00:10:10,399 later wore a bone Frog hat around one of the 189 00:10:10,399 --> 00:10:13,240 guys who helps run Crossfits. It's Greg's partner. This is 190 00:10:13,279 --> 00:10:15,440 Dave Castro, who runs the games. I was wearing a 191 00:10:15,440 --> 00:10:18,879 bone Frog hat. I was at Dave Castro's place at 192 00:10:18,879 --> 00:10:21,519 an event for the Broken Sides initiative, and Greg and Dave, 193 00:10:21,519 --> 00:10:23,960 who was a Navy seal, saw my hat and he 194 00:10:24,080 --> 00:10:25,840 kept side eye in my hat. He finally said, hey, 195 00:10:25,919 --> 00:10:31,639 hey about your hat. I go, yeah, owner that company 196 00:10:31,639 --> 00:10:37,279 a seal. Absolutely, he goes, Pete better be, I said, Dave. 197 00:10:37,360 --> 00:10:39,799 I promise Tim his name is? He said, what's his name? 198 00:10:39,799 --> 00:10:42,879 What's his name? What's his name? I said, Tim Crookshank 199 00:10:43,120 --> 00:10:44,799 was he was a seal in a buds and search. 200 00:10:44,879 --> 00:10:48,120 He was, okay crook Shank, Okay, okay, don't he checked me. 201 00:10:48,440 --> 00:10:52,519 I loved it so much, protecting protecting his brother's reputation 202 00:10:52,559 --> 00:10:55,000 of the Seals. Go to Bonefrog Coffee dot com slash 203 00:10:55,080 --> 00:10:57,840 toadd get ten percent off your first purchase, fifteen percent 204 00:10:57,879 --> 00:11:01,399 off subscription coffee. That's bone Frog Coffee slash talk. Let 205 00:11:01,399 --> 00:11:05,399 me just ask you though the games. This tragedy, Lazar Jusick, 206 00:11:05,639 --> 00:11:08,879 he drowns. You know, I looked at the numbers on 207 00:11:08,960 --> 00:11:13,480 this triathletes drowned. It happens sadly, sort of commonly first 208 00:11:13,519 --> 00:11:16,679 death and CrossFit. Horrible tragedy. But as a guy who 209 00:11:16,759 --> 00:11:19,279 ran it and founded it? What do you make of 210 00:11:19,360 --> 00:11:19,639 all that? 211 00:11:20,440 --> 00:11:23,919 Speaker 3: It's it's tragic, and my heart goes out to the 212 00:11:24,080 --> 00:11:26,600 to the athlete and his family, the people loved ones 213 00:11:26,600 --> 00:11:31,919 he leaves behind, of course, But then you know, as 214 00:11:31,919 --> 00:11:36,919 the as the morning eases and you move forward, I 215 00:11:36,919 --> 00:11:39,679 think it's imperative that you look at two aspects of 216 00:11:39,720 --> 00:11:43,840 this and treat them somewhat independently. The first would be 217 00:11:44,240 --> 00:11:47,799 why did we not pull lizarre onto a paddle board 218 00:11:47,840 --> 00:11:48,919 within seconds? 219 00:11:49,320 --> 00:11:50,519 Speaker 5: Why did that not happen? 220 00:11:51,279 --> 00:11:55,000 Speaker 3: And if you don't pay attention to that, I think yourresponsible, 221 00:11:55,039 --> 00:11:57,559 foolish and mature, and probably shouldn't be weighing in at all. 222 00:11:58,639 --> 00:12:02,799 If you think that's all that's important here, then similarly, 223 00:12:02,840 --> 00:12:05,559 I think you're foolish and immature and irresponsible. There's more 224 00:12:05,600 --> 00:12:09,399 to it than that, though, that is important and independent 225 00:12:09,440 --> 00:12:13,039 of the other aspect. And the other aspect is why 226 00:12:13,080 --> 00:12:19,960 does a professional water polo player in the prime of 227 00:12:20,000 --> 00:12:24,279 his fitness in life drowned on the finish line of 228 00:12:24,399 --> 00:12:30,080 a of a nothing race. Athletes die in sport, Swimmers 229 00:12:30,120 --> 00:12:33,519 don't die at swim meets, and when you look at 230 00:12:33,519 --> 00:12:36,480 those triathlon deaths, and boy, you know these are made. 231 00:12:36,279 --> 00:12:36,759 Speaker 5: The list of. 232 00:12:38,840 --> 00:12:42,879 Speaker 3: A multi sport and triathlon athlete deaths within hours of 233 00:12:43,440 --> 00:12:46,000 being passed away. But if you look at that list, 234 00:12:46,039 --> 00:12:48,399 and there's an inordinate number of the people that have 235 00:12:48,519 --> 00:12:52,720 dried in water. And the typical kind of scenario is 236 00:12:52,759 --> 00:12:56,000 someone in their forties to sixties at a triathlon where 237 00:12:56,039 --> 00:12:58,480 there isn't been a screening to the extent there was 238 00:12:58,519 --> 00:13:02,519 here and this was a professional event of professional athletes, 239 00:13:03,120 --> 00:13:07,320 and and they lost a kid tragically and they got 240 00:13:07,320 --> 00:13:09,840 to figure out both. We need to know what happened 241 00:13:09,879 --> 00:13:14,000 to lizaar that he fell into the water, and that 242 00:13:14,080 --> 00:13:17,240 may have been something that would it may look like 243 00:13:17,519 --> 00:13:19,720 perhaps he should have been decued from even being in 244 00:13:19,720 --> 00:13:21,720 a competition, but I don't know. 245 00:13:21,879 --> 00:13:22,679 Speaker 5: We'll have to know. 246 00:13:25,159 --> 00:13:29,600 Speaker 3: Something went horribly wrong for a professional water polou paper. 247 00:13:29,919 --> 00:13:30,879 Everyone else came. 248 00:13:30,799 --> 00:13:33,799 Speaker 5: Out of the water running Okay, here's a guy. 249 00:13:33,639 --> 00:13:35,919 Speaker 3: That couldn't couldn't do it at the end, and so 250 00:13:36,440 --> 00:13:41,279 there was some kind of crisis, I would presume, And 251 00:13:41,320 --> 00:13:47,720 in terms of the rescue, I want my responders the 252 00:13:47,960 --> 00:13:50,360 expectation would be, and I know Dave would feel the 253 00:13:50,399 --> 00:13:55,559 same that, yes, you don't care if the person's dead 254 00:13:56,000 --> 00:13:59,879 or cramping. You want them onto the board and towards 255 00:14:00,080 --> 00:14:02,440 help as soon as possible. 256 00:14:02,679 --> 00:14:05,759 Speaker 1: Yeah, and look, Dave is he's he was a Navy seal. 257 00:14:06,559 --> 00:14:09,080 The you know, the ethos there is you don't leave 258 00:14:09,080 --> 00:14:11,879 anyone behind. You never live on. If Dave was there, 259 00:14:11,879 --> 00:14:13,320 he would have been in the water. I mean, if 260 00:14:13,360 --> 00:14:15,360 he was there, Dave would have polled out of the 261 00:14:15,399 --> 00:14:18,240 water himself. Yes, I don't have any doubt about that. 262 00:14:18,240 --> 00:14:21,639 I don't know him well, but you do so from Crossfits, 263 00:14:21,679 --> 00:14:23,480 you know in this tragy. Thanks for responding to that. 264 00:14:23,519 --> 00:14:26,000 Speaker 3: I want to add one piece to this, please Well, 265 00:14:26,240 --> 00:14:28,559 I think it's important, and that is we learned from 266 00:14:28,600 --> 00:14:33,159 our support of infant swim resource that is, CrossFit was 267 00:14:34,120 --> 00:14:40,240 huge in the space of infant toddler child drowning and 268 00:14:40,279 --> 00:14:42,639 we committed an enormous amount of resources to that of 269 00:14:42,679 --> 00:14:47,200 every sort imaginable, from attention to cash. And I have 270 00:14:47,799 --> 00:14:50,360 ten kids and nine of them have been through the 271 00:14:50,360 --> 00:14:54,159 ISR program, could swim before they were six months old, 272 00:14:54,480 --> 00:14:58,600 would float at least. And there's a myth of hypervigilance 273 00:14:59,240 --> 00:15:02,480 that with another attention on someone you're gonna prevent him 274 00:15:02,480 --> 00:15:07,799 from drowning. And it's just not true. And I can 275 00:15:07,879 --> 00:15:11,519 give you story after story after story of hyper vigilant 276 00:15:11,559 --> 00:15:13,279 mothers losing a child's drowning. 277 00:15:14,039 --> 00:15:16,559 Speaker 5: And I mean as simple as is. 278 00:15:16,840 --> 00:15:18,799 Speaker 3: Put a kid on the floor, turn around, put the 279 00:15:19,440 --> 00:15:22,080 bottle and refrigerator, turn around. The kids gone. There's a 280 00:15:22,159 --> 00:15:24,759 search of the room, the house, the other rooms. There 281 00:15:24,799 --> 00:15:26,879 was a doggy door behind the bookcase. The kid made 282 00:15:26,919 --> 00:15:29,039 a five foot crawl out. The door was in the pool. 283 00:15:29,559 --> 00:15:32,080 They didn't find him till it was too late. And 284 00:15:33,039 --> 00:15:36,600 you know that's hard. But Dave's going through a lot 285 00:15:36,639 --> 00:15:39,840 of that. I mean, he's tortured by this. Of course 286 00:15:39,840 --> 00:15:42,279 he is. Yeah, I knew he would be. I knew 287 00:15:42,320 --> 00:15:47,879 he was ill prepared for this because nobody is. There's nothing, 288 00:15:47,879 --> 00:15:50,840 there's no there's no amount of kicking indoors, killing terrorists 289 00:15:50,840 --> 00:15:52,519 that's going to prepare you for someone. 290 00:15:52,279 --> 00:15:56,480 Speaker 5: Drowning while you're watching, you know. And but the community, 291 00:15:56,639 --> 00:15:59,759 community will survive it. It won't be the last time. Either. 292 00:16:01,639 --> 00:16:04,240 Speaker 3: Someone's going to have a heart attack on a rope climb, 293 00:16:04,720 --> 00:16:06,399 and then the rope climb is going to be dangerous. 294 00:16:06,720 --> 00:16:10,600 You know, it happens. I remember once and I said 295 00:16:10,639 --> 00:16:12,679 this would be an inside. It'll be quick I remember 296 00:16:12,720 --> 00:16:17,240 once watching a client after a long warm up start, 297 00:16:17,519 --> 00:16:19,840 a process of a beginning warm up for a run 298 00:16:19,879 --> 00:16:22,600 at bench, and we had ninety five pounds on the 299 00:16:22,639 --> 00:16:24,440 bar and he was just gonna moment. We were moving 300 00:16:24,440 --> 00:16:27,759 in the direction of like four twenty five, four point thirty. 301 00:16:27,600 --> 00:16:27,679 Speaker 2: Just. 302 00:16:29,399 --> 00:16:32,879 Speaker 3: Reaching down towards the bar. He ah did that classic 303 00:16:32,960 --> 00:16:36,200 reach behind? Yeah, And I'm like, dear God, David, another's 304 00:16:36,200 --> 00:16:38,440 six inches and it would have been a deadlife accident. 305 00:16:39,919 --> 00:16:43,320 But as it was, it was what what happens to people, 306 00:16:43,519 --> 00:16:47,320 you know, And so things happened, and something happened horrible 307 00:16:47,399 --> 00:16:49,480 to the bizarre, and they didn't catch. 308 00:16:49,279 --> 00:16:52,799 Speaker 5: It, time to pull him out. And yep, everyone feels bad. 309 00:16:52,960 --> 00:16:55,000 Speaker 1: Thanks for commenting on it. I know it's painful for you, 310 00:16:55,039 --> 00:16:57,879 even though you know this far removed obviously, the sports 311 00:16:58,320 --> 00:17:01,360 was a birth of lacked and love for you. You know, 312 00:17:01,360 --> 00:17:04,839 my friends Steve and James are doing something in the 313 00:17:04,880 --> 00:17:08,240 way of disruption similar to what CrossFit has done and 314 00:17:08,240 --> 00:17:11,079 what Greg Glassman's done. They also are looking at the 315 00:17:11,079 --> 00:17:14,720 way science or scientific rigor has been broken in the 316 00:17:14,839 --> 00:17:17,720 United States. They look at it from a perspective of healthcare. 317 00:17:18,319 --> 00:17:22,559 Healthcare has become medicine and surgery. That's what healthcare means. 318 00:17:23,000 --> 00:17:25,200 What pill can we give you in what way can 319 00:17:25,200 --> 00:17:28,079 we cut you up? Because those are the profit centers. 320 00:17:28,839 --> 00:17:32,640 When Steve got the idea to create Renewed Healthcare, it 321 00:17:32,680 --> 00:17:35,480 was based off something that happened to him. He got 322 00:17:35,480 --> 00:17:38,319 a terrible disease and he was told the prognosis is 323 00:17:38,359 --> 00:17:39,880 not good. You're going to lose a bunch of mobility. 324 00:17:39,880 --> 00:17:41,920 You're going to be very, very unhealthy, and he went 325 00:17:41,960 --> 00:17:46,119 into research mode. He found the treatment that addressed this 326 00:17:46,279 --> 00:17:48,640 and turned it around. He had to fly around the 327 00:17:48,680 --> 00:17:51,960 world to get it. It was stem cells. When he 328 00:17:52,119 --> 00:17:54,039 learned that you couldn't do this in the United States 329 00:17:54,039 --> 00:17:57,599 because the FDA, which is effectively a farmer company, he 330 00:17:57,720 --> 00:18:00,400 learned that happened. That was the dynamic I did to 331 00:18:00,440 --> 00:18:04,359 start renew Healthcare. Renew Dot Healthcare e n u eve 332 00:18:04,480 --> 00:18:07,039 dot Healthcare. I love a company that starts because the 333 00:18:07,079 --> 00:18:10,359 founder needed the service. At Renewed, they don't have anything 334 00:18:10,400 --> 00:18:14,039 to do with a boarded babies period period. All of 335 00:18:14,079 --> 00:18:18,039 their stem cells come from umbilical cords and placentas period period. 336 00:18:18,559 --> 00:18:22,359 They're ethically gathered and that they pay for the pregnancies 337 00:18:22,440 --> 00:18:25,640 and the childbirth of all the women they contact. Even 338 00:18:25,680 --> 00:18:28,119 though they only accept the best of the stem cells. 339 00:18:28,640 --> 00:18:34,160 Then they culture them why safety and efficacy. In my shoulder, 340 00:18:34,200 --> 00:18:37,559 they inserted forty two million of these stem cells and 341 00:18:37,599 --> 00:18:41,319 they went straight to work attacking the inflammation from after surgery, 342 00:18:41,640 --> 00:18:45,240 and they rebuild. This is what's so incredible about these cells. Cells. 343 00:18:45,319 --> 00:18:50,000 They are building cells. They build a tissue, cartilage, muscle, tendon, 344 00:18:50,640 --> 00:18:54,319 all while destroying inflammation. If you've been told you have 345 00:18:54,359 --> 00:18:56,519 to have surgery for a lower back issue, stop go 346 00:18:56,599 --> 00:18:59,319 to renew dot Healthcare. If you've been told you neuropathies 347 00:18:59,400 --> 00:19:03,640 permanent going away, stop go to renew dot Healthcare. Even 348 00:19:03,680 --> 00:19:07,759 if you have terrible neurological issues. I've seen incredible turnarounds 349 00:19:07,759 --> 00:19:10,119 with these incredible stem cells and the work at renew 350 00:19:10,440 --> 00:19:12,839 Go to renew dot Healthcare. Tell them you are a 351 00:19:12,960 --> 00:19:15,799 member of the Todd Herman Show podcast family or radio 352 00:19:15,799 --> 00:19:19,920 show family. That's renew dot Healthcare. You got attacked using 353 00:19:20,000 --> 00:19:24,240 bad science. Big Sugar came at you. This is when 354 00:19:24,400 --> 00:19:27,400 I probably the first time people started calling you about 355 00:19:27,440 --> 00:19:29,759 me is I did an hour on this on Russia 356 00:19:29,759 --> 00:19:30,240 and Bass Show. 357 00:19:30,279 --> 00:19:30,440 Speaker 2: God. 358 00:19:30,480 --> 00:19:33,039 Speaker 1: Rest of the maha about you getting attacked by Big 359 00:19:33,079 --> 00:19:35,599 Sugar and you beat them, you destroyed them in court, 360 00:19:36,000 --> 00:19:38,960 and they had effectively faked up research to show that 361 00:19:39,039 --> 00:19:42,799 CrossFit injured people more commonly than global gems. And the 362 00:19:42,880 --> 00:19:45,119 way that I mean, the way you found this out 363 00:19:45,160 --> 00:19:48,240 was emails and finartsic discovery, when I think the principles 364 00:19:48,240 --> 00:19:50,359 are saying, we don't have these emails. And then it 365 00:19:50,400 --> 00:19:53,640 went before the judge, and the judge basically ordered a 366 00:19:54,279 --> 00:19:56,640 different firm to come in and do forensic accounting of 367 00:19:56,640 --> 00:19:59,160 the emails. And can you tell a little bit about 368 00:19:59,200 --> 00:20:01,480 how they faked up that science because this can bridge 369 00:20:01,519 --> 00:20:03,359 us into the Broken Science Institute. 370 00:20:03,880 --> 00:20:07,839 Speaker 3: Yeah, the National Strength and Conditioning Association published a study 371 00:20:07,839 --> 00:20:10,200 that should a cross it was remarkably effective, but it 372 00:20:10,400 --> 00:20:14,680 at an unacceptable cost due to injury. And on cursory 373 00:20:14,759 --> 00:20:16,839 examination of the figures, what I saw was, I think 374 00:20:16,839 --> 00:20:19,759 it was a sixteen percent injury rate and there was 375 00:20:19,759 --> 00:20:21,359 no other dropouts from the program. 376 00:20:21,400 --> 00:20:22,680 Speaker 5: And I knew damn well that if. 377 00:20:22,559 --> 00:20:26,039 Speaker 3: You expose people across the CrossFit, you'll lose twenty five 378 00:20:26,079 --> 00:20:28,359 percent that are just going to go home aware of 379 00:20:28,400 --> 00:20:29,960 what it's going to cost to be fit and don't 380 00:20:29,960 --> 00:20:33,480 want to participate anymore, so there should be a quarter 381 00:20:33,599 --> 00:20:37,880 that just disappear, because that's not for me kind of thing. 382 00:20:38,359 --> 00:20:40,759 But they had sixteen percent injured in no walk away, 383 00:20:40,799 --> 00:20:42,799 and so I said, we need to look more closely. 384 00:20:43,519 --> 00:20:46,880 And it didn't take long until we found that that 385 00:20:47,400 --> 00:20:50,160 this just wasn't true, that it hadn't happened that way. 386 00:20:50,839 --> 00:20:51,160 Speaker 4: And. 387 00:20:52,799 --> 00:20:56,400 Speaker 3: We then immediately just started going down the core the 388 00:20:56,440 --> 00:21:01,359 Committee on the Cope, Committee of Publishing, Search, publishing ethics, 389 00:21:01,640 --> 00:21:06,160 whatever it is that we went by this international agency 390 00:21:06,319 --> 00:21:10,519 standards for what the responses should be to UH to 391 00:21:11,640 --> 00:21:14,599 studies that you know, to be fabricated or falsified or 392 00:21:14,599 --> 00:21:17,839 plays arized, and we called their attention to it, and 393 00:21:17,880 --> 00:21:20,039 they just let us know and unknowing certain terms, that 394 00:21:20,119 --> 00:21:22,640 they were going to do nothing about it. And so 395 00:21:22,759 --> 00:21:26,039 we did something that had never been done before. I retained, 396 00:21:26,680 --> 00:21:30,000 had kept hinder constant retainer. A smile because my relationship 397 00:21:30,000 --> 00:21:34,480 with Lathan Watkins is long, profound, close and something I'm 398 00:21:34,519 --> 00:21:39,079 proud of. But Lathan Watkins brought a team of Manhattan 399 00:21:39,200 --> 00:21:44,720 white shoe attorneys to Ohio and set up camp in 400 00:21:44,799 --> 00:21:49,000 this in this little town and deposed every single person 401 00:21:49,039 --> 00:21:53,359 involved in this study, every single person. This was millions 402 00:21:53,359 --> 00:21:55,200 of dollars. I mean, these guys are making four hundred 403 00:21:55,240 --> 00:21:57,519 fifty dollars an hour, and you got a team of 404 00:21:57,559 --> 00:22:00,480 them and they're and they're they're living there, right, And 405 00:22:00,519 --> 00:22:04,039 they deposed everyone involved. And so we had the reality 406 00:22:04,799 --> 00:22:07,799 and we asked for some emails. They said they didn't exist. 407 00:22:07,880 --> 00:22:09,920 Speaker 5: We had some of them. We showed the judge. 408 00:22:10,039 --> 00:22:14,480 Speaker 3: She got pissed off and ordered a forensic evaluation of 409 00:22:14,559 --> 00:22:18,599 their servers, cell phones, iPads, and they started destroying equipment. 410 00:22:19,079 --> 00:22:21,960 iPad cell phones we don't have them in computers. 411 00:22:22,440 --> 00:22:23,400 Speaker 5: But it didn't work. 412 00:22:23,480 --> 00:22:26,200 Speaker 3: They still, we still got our hands on an amazing 413 00:22:27,000 --> 00:22:31,759 tranch of material. The National sent Conditioning Association had more 414 00:22:31,799 --> 00:22:36,200 emails on CrossFit than CrossFit had on its servers about CrossFit. Wow, 415 00:22:36,240 --> 00:22:38,519 they knew more about us than we knew about ourselves. 416 00:22:39,359 --> 00:22:41,920 And they told the judge they didn't see this a competitor. 417 00:22:42,279 --> 00:22:44,799 But the guy that testified to that effect had we'd 418 00:22:44,839 --> 00:22:48,279 seen an email that was his competitive analysis of CrossFit. 419 00:22:48,319 --> 00:22:50,279 He came to the sert he set on his own dime, 420 00:22:50,319 --> 00:22:52,519 but we had an email where he was asking to 421 00:22:52,559 --> 00:22:55,680 be reimbursed for his going on this trip, and so 422 00:22:55,799 --> 00:22:58,079 then the federal judge just started referring to him as 423 00:22:58,119 --> 00:23:01,359 the perjurer in the case. Yeah, but she said this 424 00:23:01,519 --> 00:23:04,559 was the most egregious behavior that she'd seen in thirty 425 00:23:04,559 --> 00:23:06,160 five years on the bench, and this is someone had 426 00:23:06,160 --> 00:23:09,440 sent people to jail forever. Now, mind you, this was 427 00:23:09,480 --> 00:23:12,519 also going on in the state court because early in 428 00:23:12,559 --> 00:23:16,000 the process I referred to the NSCA and the American 429 00:23:16,039 --> 00:23:19,680 College of Sports Medicine is soda horse. So they ha 430 00:23:20,240 --> 00:23:21,440 they sued me for that. 431 00:23:21,799 --> 00:23:23,839 Speaker 1: Gosh, they sued you for calling him soda horse. 432 00:23:24,160 --> 00:23:27,079 Speaker 3: Indeed, and Russ Green and CrossFit me by name, Russ 433 00:23:27,119 --> 00:23:29,359 Green by name, and maybe Russ Berger was in there too, 434 00:23:29,400 --> 00:23:31,200 So we all got picked up in this suit and 435 00:23:31,359 --> 00:23:35,039 state court for calling him soda horse. My attorney's line 436 00:23:35,119 --> 00:23:39,039 was calling someone a whore doesn't have any meaning. And I, 437 00:23:39,759 --> 00:23:44,759 during this deposition, interjected, Oh, I have a meeting. I'll 438 00:23:44,759 --> 00:23:47,599 tell you exactly what I mean by big eye roll. 439 00:23:47,640 --> 00:23:52,720 And here it came, and it's it's taking cash for unethical, immortal, 440 00:23:52,799 --> 00:23:57,160 hidden secret activities. What it is, you know, That's what 441 00:23:57,359 --> 00:24:00,519 That's why I'm calling you a soda horse. But they 442 00:24:00,599 --> 00:24:03,720 said they didn't have any interaction with soda. We showed 443 00:24:03,720 --> 00:24:06,480 some interaction with soda, and the state judge demanded a 444 00:24:06,519 --> 00:24:10,160 forensic review of their servers. Again the same We got 445 00:24:10,200 --> 00:24:12,400 it from the state court, and he also let us 446 00:24:12,440 --> 00:24:15,960 know that he was aware of the perjury in the 447 00:24:16,039 --> 00:24:17,079 in the federal case. 448 00:24:17,519 --> 00:24:17,759 Speaker 5: Wow. 449 00:24:17,920 --> 00:24:21,079 Speaker 3: And what had happened was that one of the guys 450 00:24:21,079 --> 00:24:22,599 that perjured himself. 451 00:24:23,160 --> 00:24:24,480 Speaker 5: In the in the. 452 00:24:26,039 --> 00:24:31,759 Speaker 3: In the federal case admitted in deposition in the state 453 00:24:31,880 --> 00:24:35,920 case is to having lied before and at these judges 454 00:24:35,960 --> 00:24:37,960 were the federal judges and the state judge were both 455 00:24:37,960 --> 00:24:41,240 in San Diego, and the question as to whether they 456 00:24:41,279 --> 00:24:45,720 may have contacted one another became immediately apparent that these 457 00:24:45,759 --> 00:24:47,480 guys were trying in state court. 458 00:24:47,559 --> 00:24:50,799 Speaker 5: What they what they were losing at in federal court incredible, And. 459 00:24:50,759 --> 00:24:53,279 Speaker 3: So we got inference sanctions that granted us all the 460 00:24:53,319 --> 00:24:54,319 particulars of the case. 461 00:24:54,400 --> 00:24:55,119 Speaker 5: And that was. 462 00:24:55,079 --> 00:25:00,759 Speaker 3: The the uh falsification and fabrication of data. And in 463 00:25:00,799 --> 00:25:03,319 fact we get all the even the tiny elements that 464 00:25:03,359 --> 00:25:06,880 you disseminated, this international, this information a cross state lines 465 00:25:06,920 --> 00:25:09,559 that it would be natural and right to presume that 466 00:25:09,640 --> 00:25:12,400 this would hurt It did indeed hurt I mean every 467 00:25:12,640 --> 00:25:15,519 element that was needed that you'd have to and so 468 00:25:15,599 --> 00:25:17,720 our Lathan Watkins guys are going, I've never seen anything 469 00:25:17,799 --> 00:25:21,559 like this. We were handed every element, everything we'd want 470 00:25:21,599 --> 00:25:26,720 to prove. There's nothing left to adjudicate, there's nothing less 471 00:25:26,759 --> 00:25:30,559 to litigate other than penalty. At this point, we were 472 00:25:30,599 --> 00:25:34,960 handed every single part of this incredible and it took 473 00:25:35,000 --> 00:25:38,319 academic interest, caught academic interests for this reason. 474 00:25:38,920 --> 00:25:41,759 Speaker 5: It was there have been. There's a hall of fame. 475 00:25:41,839 --> 00:25:44,000 Speaker 3: In fact, this is part of what we collected broken science. 476 00:25:44,000 --> 00:25:48,319 But there's a hall of fame of scientific misconduct stunts. 477 00:25:48,720 --> 00:25:51,519 There's a taxonomy of it. You can go by nationality 478 00:25:51,599 --> 00:25:55,079 or by field Alzheimer's research or coming from Egypt or 479 00:25:55,119 --> 00:25:58,240 whatever you like. There's a there's an enormous body of 480 00:25:58,319 --> 00:26:02,440 work in that in that space, but it typically in 481 00:26:02,559 --> 00:26:06,240 every case seemed to involve one or two miscreant science 482 00:26:06,319 --> 00:26:11,319 tists within an organization. Specifically while at a university, you're 483 00:26:11,359 --> 00:26:14,160 in some kind of you know, international body. 484 00:26:14,799 --> 00:26:16,119 Speaker 5: But what we. 485 00:26:16,039 --> 00:26:21,079 Speaker 3: Had with the NSCA was an entire organization committed to 486 00:26:21,200 --> 00:26:25,960 a scientific misconduct you know, procedurally almost a statute. 487 00:26:26,200 --> 00:26:26,400 Speaker 2: Yeah. 488 00:26:27,200 --> 00:26:32,119 Speaker 3: Also also with funds that couldn't be explained. They turned 489 00:26:32,119 --> 00:26:35,319 their pockets inside out, got nothing. Judge orders them to 490 00:26:35,359 --> 00:26:37,880 give us four million dollars within thirty days, and they 491 00:26:37,880 --> 00:26:38,440 come up with it. 492 00:26:39,519 --> 00:26:41,039 Speaker 1: I mean, how did that happen? 493 00:26:41,240 --> 00:26:41,640 Speaker 5: Yeah? 494 00:26:41,680 --> 00:26:45,599 Speaker 3: And it was funny because I'm going to where the 495 00:26:45,640 --> 00:26:48,319 hell did they get the money? And I go, maybe 496 00:26:48,359 --> 00:26:53,440 we shouldn't take it because it could be illegally dishonestly gotten. 497 00:26:53,640 --> 00:26:59,000 In my turns at though, just take the money. We 498 00:26:59,119 --> 00:27:00,960 know where they got it. Yeah, we know they got it. 499 00:27:00,960 --> 00:27:04,240 They got it from from their sugar daddies. Isn't that perfect? 500 00:27:04,240 --> 00:27:05,480 They got it in the sugar dady. 501 00:27:05,799 --> 00:27:06,759 Speaker 1: That's a great way to put it. 502 00:27:06,799 --> 00:27:11,240 Speaker 3: They couldn't Those organizations couldn't keep their lights on without 503 00:27:11,279 --> 00:27:14,160 their soda support. Yeah, couldn't keep their lights on. 504 00:27:14,400 --> 00:27:16,359 Speaker 1: Greg and I can both kind of geek out on science, 505 00:27:16,400 --> 00:27:19,400 him more than me because he's ten thousand times smarter 506 00:27:19,440 --> 00:27:22,440 than I am, roughly ten thousand and one, Okay, maybe 507 00:27:22,480 --> 00:27:24,559 a little less. One of the things we can geek 508 00:27:24,599 --> 00:27:26,799 out and is the way devices can help us and 509 00:27:26,799 --> 00:27:28,839 not HARMSS. There's a lot of harmful things in tech 510 00:27:29,440 --> 00:27:32,839 tracking methodologists, et cetera. We've talked about that. Greg and I. 511 00:27:32,880 --> 00:27:34,440 One of the ways that can help you is if 512 00:27:34,480 --> 00:27:38,279 you are a business owner, like in an airbnb or vrbo, 513 00:27:38,440 --> 00:27:40,799 and you have guests in and out. Some guests are 514 00:27:40,799 --> 00:27:43,640 gonna leave behind funky smells and not saying they stink. 515 00:27:44,319 --> 00:27:46,599 I'm saying they can be have wet dogs, or they 516 00:27:46,599 --> 00:27:48,640 could be out swimming themselves, or maybe they've done a 517 00:27:48,680 --> 00:27:52,119 bunch of exercise, or they cook some spicy foods. You know, 518 00:27:52,119 --> 00:27:53,839 it might smell good to you, but the next guest 519 00:27:53,960 --> 00:27:56,920 might hate garlic. So what you can do is purchase 520 00:27:57,000 --> 00:28:00,359 the Eden Pure auxy Leaf two device and right now, 521 00:28:00,599 --> 00:28:04,880 buy one, get one free. That's a heck of a savings. 522 00:28:05,079 --> 00:28:08,799 The device works by producing ozone oh three molecules in 523 00:28:08,839 --> 00:28:11,920 your home, your business, your airbnb, whatever space you're in, 524 00:28:12,440 --> 00:28:16,720 and those molecules bond to the molecules of bad smelling 525 00:28:16,759 --> 00:28:20,480 things like cat litter in your house, cigarette smoke in 526 00:28:20,519 --> 00:28:23,680 your home, or again in the airbnb or your medical clinic, 527 00:28:23,720 --> 00:28:26,240 whatever it is you want people to smell. Good smells. 528 00:28:26,559 --> 00:28:30,039 This isn't perfume, it's not waxy candles, it's not those putrid, 529 00:28:30,440 --> 00:28:34,200 horrible essential oils. Can't stand those things. This smells like 530 00:28:34,240 --> 00:28:37,400 the day after a thunderstorm. We run this every single 531 00:28:37,480 --> 00:28:39,599 day in our studio because we can't open the doors 532 00:28:39,640 --> 00:28:43,680 or windows. It's silent and potent. Eatinprier deals dot com 533 00:28:43,960 --> 00:28:47,839 enter code Todd Bogo. That's eating per deals. The code 534 00:28:47,880 --> 00:28:51,720 is Todd Bogo. And you got one because you bought one, 535 00:28:51,759 --> 00:28:54,319 buy one, get one free eidenper deals dot com enter 536 00:28:54,359 --> 00:28:58,240 code Todd Bogo. So everybody understands this. One of the 537 00:28:58,240 --> 00:29:01,680 things in CrossFit is no sugar the RX diet, and 538 00:29:01,720 --> 00:29:04,200 I won't risk doing the definition in front of you. 539 00:29:04,279 --> 00:29:06,599 I know it, I live it. You've actually had me. 540 00:29:06,839 --> 00:29:08,920 You've seen me drink sugar water and I apologize in 541 00:29:08,960 --> 00:29:11,359 front of you for that. But it's just huckleberry lemonade. 542 00:29:11,359 --> 00:29:15,839 And right right, So this happens, you are exposed then 543 00:29:15,960 --> 00:29:22,440 to wow academic skulldugree, lying, frauds, perjury, and then we 544 00:29:22,559 --> 00:29:24,440 get to this era. If you're watching this, by the way, 545 00:29:24,480 --> 00:29:26,440 on YouTube, I'm about to we're entering into a portion 546 00:29:26,519 --> 00:29:29,160 of the discussion. YouTube will not allow, so you can 547 00:29:29,200 --> 00:29:31,359 go to video dot Todd Hermit Show dot com get 548 00:29:31,359 --> 00:29:33,599 a seven day free trial. You could look at this. 549 00:29:33,599 --> 00:29:35,720 This is we're going to enter into discussion that's banned 550 00:29:35,720 --> 00:29:39,640 on YouTube. Okay, the COVID era comes about, and a 551 00:29:39,680 --> 00:29:42,160 couple of things happened. At that point. You put out 552 00:29:42,160 --> 00:29:45,839 a tweet and it was related to George Floyd, and 553 00:29:45,880 --> 00:29:46,960 you said, oh great, now we. 554 00:29:46,960 --> 00:29:47,759 Speaker 5: Get it directly. 555 00:29:47,920 --> 00:29:49,759 Speaker 1: Yeah, now we get Floyd nineteen. I know what you 556 00:29:49,759 --> 00:29:52,000 were saying. I looked at that and said, Greg is 557 00:29:52,000 --> 00:29:54,519 making a commentary on this is a very sad thing. 558 00:29:55,160 --> 00:29:57,079 This This man had a sad life. This is sad 559 00:29:57,119 --> 00:30:00,279 that a man died. I know your heart. But you're 560 00:30:00,279 --> 00:30:02,559 also saying, Okay, now we're going to get We're going 561 00:30:02,640 --> 00:30:04,559 to take this case and pretend this is happening all 562 00:30:04,599 --> 00:30:07,640 around the world. It's going to be blown out, pretending 563 00:30:07,680 --> 00:30:11,319 that this is common everyday thing, like they did with COVID. 564 00:30:11,839 --> 00:30:14,119 And that's what I saw from it. Maybe I'm make 565 00:30:14,160 --> 00:30:16,039 sure that I hadn't meant you yet. Let me give 566 00:30:16,359 --> 00:30:21,359 my quick perspective on this. Ichimmy was in this country. 567 00:30:21,720 --> 00:30:26,440 It was Imperial College in Europe in London, but the 568 00:30:26,480 --> 00:30:33,240 ihimmy at University of Washington, Seattle had led in the 569 00:30:33,440 --> 00:30:38,000 model production that forced this lockdown and the silly Mass 570 00:30:38,039 --> 00:30:41,880 and everything else we went through a promoter a vaccine 571 00:30:41,920 --> 00:30:46,119 that was far from ready unless it was ready, and 572 00:30:46,240 --> 00:30:47,079 to do what it did. 573 00:30:47,480 --> 00:30:54,119 Speaker 3: Their role in what went wrong was critical, and it 574 00:30:54,160 --> 00:30:59,920 came about to some science and when their models fit 575 00:31:00,559 --> 00:31:04,119 and were failing publicly and obviously, rather than come back 576 00:31:04,160 --> 00:31:06,119 with I'm sorry, they doubled down and said they were 577 00:31:06,160 --> 00:31:09,359 now going to turn their models on the disease of 578 00:31:09,440 --> 00:31:13,319 police brutality. And it was at this point that I said, 579 00:31:14,000 --> 00:31:18,079 you mean what like Floyd nineteen And my follow up 580 00:31:18,119 --> 00:31:21,680 tweet was an extended quote that I had pulled from 581 00:31:21,759 --> 00:31:25,880 the CDC on a study that I pulled from their servers, 582 00:31:26,000 --> 00:31:30,720 and it was a retrospective historical analysis of the impacts 583 00:31:30,759 --> 00:31:36,240 of quarantine. And what they said was that in all ages, 584 00:31:36,279 --> 00:31:41,880 in all cultures, and everywhere, all cultures, all ages, and everywhere, 585 00:31:42,480 --> 00:31:47,519 quarantine ends with race riots. And I quoted that, put 586 00:31:47,559 --> 00:31:50,680 the quotes around it, test it myself, pulled the quote, 587 00:31:51,200 --> 00:31:54,799 threw it into Google, took me right to CDC property, 588 00:31:55,160 --> 00:31:59,480 CDC dot gov. There I am That tweet was called racist. 589 00:32:00,319 --> 00:32:02,279 And what we had we got our race wars. By 590 00:32:02,319 --> 00:32:03,720 the way our race riot we. 591 00:32:03,640 --> 00:32:07,160 Speaker 1: Did, we got something else. The IHME was funded by 592 00:32:07,160 --> 00:32:09,599 Bill Gates Bill Gates at the time this was going 593 00:32:09,599 --> 00:32:11,880 on with spending and to some people this is a 594 00:32:11,960 --> 00:32:13,920 lot of money, four hundred million dollars to go get 595 00:32:13,920 --> 00:32:15,920 positive media coverage show he could be the Papa of 596 00:32:15,920 --> 00:32:18,319 the vaccines, the mr Anda injections, which in my judgment 597 00:32:18,319 --> 00:32:23,119 are not vaccines. Then, Greg, we also had in England. 598 00:32:23,119 --> 00:32:25,960 You mentioned the organization over there. I believe his name 599 00:32:26,000 --> 00:32:28,960 is Neil Ferguson. He was he was wrong on mad 600 00:32:29,000 --> 00:32:32,559 cow disease. He's been wrong monument and always on aids, 601 00:32:32,599 --> 00:32:35,559 always in this, always in the direction of catastrophizing things. 602 00:32:35,680 --> 00:32:39,920 And remember this, he and his adulterous girlfriend went trapesing 603 00:32:39,920 --> 00:32:44,319 about London after positive tests. So this comes up, and 604 00:32:44,440 --> 00:32:47,279 your scientific minds is looking at all this. 605 00:32:47,559 --> 00:32:52,079 Speaker 3: And I'm going in with Peter Goucher, who was one 606 00:32:52,079 --> 00:32:55,640 of the co founders of the Cochrane Collaboration, who has 607 00:32:55,720 --> 00:32:59,599 publicly called out Bill Gates in his foundation and his 608 00:32:59,720 --> 00:33:04,000 ahe PV vaccine as being far from a good thing. 609 00:33:04,960 --> 00:33:07,119 And I'll keep you out of any kind of band turf. 610 00:33:07,680 --> 00:33:11,599 But when I had Peter out to my house, I 611 00:33:11,680 --> 00:33:16,200 knew that he had challenged the authorities on mammograms for everyone, 612 00:33:16,720 --> 00:33:21,480 starting with little girls and benefactive. He had called into 613 00:33:21,519 --> 00:33:29,920 effect the science behind all psychoactive medications. He had specifically 614 00:33:29,960 --> 00:33:36,480 pointed out that antidepressants in pedes creates suicide in significant numbers. 615 00:33:36,759 --> 00:33:39,279 And so this is my buddy I'm hanging with, and 616 00:33:39,359 --> 00:33:41,960 I told him, dude, you're gonna. 617 00:33:41,759 --> 00:33:44,279 Speaker 5: Get whacked, and he did. 618 00:33:44,920 --> 00:33:45,400 Speaker 1: He did. 619 00:33:45,519 --> 00:33:46,640 Speaker 5: They got rid of him, and. 620 00:33:46,640 --> 00:33:52,880 Speaker 3: He was accused nefariously, nebulously of improper contact and attitude 621 00:33:52,920 --> 00:33:55,680 and comments around women, but with no particulars ever to 622 00:33:56,279 --> 00:33:56,799 come about. 623 00:33:57,720 --> 00:33:59,359 Speaker 5: And we had guys like Gay and I and not. 624 00:33:59,480 --> 00:34:02,279 He's saying, I may not agree with Peter on everything. 625 00:34:02,400 --> 00:34:03,200 That's John Beina. 626 00:34:03,839 --> 00:34:05,440 Speaker 3: I may not agree with him on everything. You don't 627 00:34:05,440 --> 00:34:08,239 agree with anyone on everything, So that doesn't need saying, right. 628 00:34:08,440 --> 00:34:10,760 What he's saying is there's views he has that I 629 00:34:10,760 --> 00:34:11,760 would prefer. 630 00:34:11,519 --> 00:34:12,920 Speaker 5: Not to be have pinned on me. 631 00:34:13,440 --> 00:34:15,960 Speaker 3: And that would be most of them, honestly, like the 632 00:34:16,039 --> 00:34:20,559 question on mammograms, like the HPV vaccine, like the vaccine 633 00:34:20,639 --> 00:34:21,519 industry in. 634 00:34:21,360 --> 00:34:23,639 Speaker 5: General, right on and on and on. 635 00:34:24,039 --> 00:34:26,920 Speaker 3: But ian Oti said he's the most important medical researcher 636 00:34:26,920 --> 00:34:27,639 in all of Europe. 637 00:34:28,679 --> 00:34:29,920 Speaker 5: He didn't matter, he got sense. 638 00:34:30,159 --> 00:34:34,000 Speaker 3: He got censored, and then John got his John paid his, 639 00:34:34,400 --> 00:34:36,800 got he got He's been he's been. 640 00:34:36,679 --> 00:34:38,639 Speaker 5: Semi banished to the hinterlands. 641 00:34:38,760 --> 00:34:42,119 Speaker 1: You were watching this with these Cobracawber people. I was 642 00:34:42,159 --> 00:34:45,000 watching it from a perspective of media, and I'll tell 643 00:34:45,039 --> 00:34:46,920 you something, Greg, I never thought I would see this day. 644 00:34:47,039 --> 00:34:49,639 I'll never forget this in morning radio. Those two doctors 645 00:34:49,639 --> 00:34:52,159 from Bakersfield, California, remember this. They held a press conference 646 00:34:52,679 --> 00:34:54,519 and all they said was, look, none of this makes 647 00:34:54,519 --> 00:34:57,920 any sense. They said, the CDC has the biggest largest 648 00:34:57,960 --> 00:35:02,239 meta analysis of analysis on asks, six studies forty eight years, 649 00:35:02,239 --> 00:35:05,440 including a trip to Mecca. Masks don't stop the transmission 650 00:35:05,719 --> 00:35:08,480 of upper respiratory viruses. That's a conclusion from the CDC. 651 00:35:08,840 --> 00:35:12,239 They had the lockdown thing. They mentioned that quarantines, we 652 00:35:12,320 --> 00:35:14,039 had the Spanish food. They went through all this, and 653 00:35:14,079 --> 00:35:16,199 then they said the death rate from this is a 654 00:35:16,239 --> 00:35:19,199 survival rates ninety nine point eighty four percent. Unless you're 655 00:35:19,239 --> 00:35:21,559 super sick and super old and super fat, this isn't 656 00:35:21,559 --> 00:35:24,800 going to kill you. Greg. I saw that press conference. 657 00:35:24,840 --> 00:35:28,280 I went to my producer grabbed this and he's grabbing 658 00:35:28,280 --> 00:35:29,960 it and he gets to Mayoga's Todd they just took 659 00:35:30,000 --> 00:35:32,719 it down. It was down from Twitter at Facebook and 660 00:35:32,760 --> 00:35:34,800 we had to chase it and get to Bitshoot to 661 00:35:34,840 --> 00:35:37,800 get it. And I'm looking at this, watching this happen. 662 00:35:38,920 --> 00:35:46,000 Here's where broken Science, I think can save academia lives 663 00:35:47,000 --> 00:35:51,639 is establishing what actually is science because I learned it's 664 00:35:51,719 --> 00:35:52,320 the science. 665 00:35:52,320 --> 00:35:52,599 Speaker 2: Greg. 666 00:35:52,840 --> 00:35:55,159 Speaker 1: I didn't know there was such a thing as the science. 667 00:35:55,480 --> 00:35:58,800 But let's start with what is. Isn't there some process 668 00:35:58,920 --> 00:36:01,840 or something and take us through the Broken Science Institute. 669 00:36:01,840 --> 00:36:02,559 What you're doing. 670 00:36:04,519 --> 00:36:07,840 Speaker 3: Defining science is critical, and it would shock you to 671 00:36:07,880 --> 00:36:12,920 find out how few people, even amongst scientists, can give 672 00:36:12,960 --> 00:36:17,360 any kind of reasonable sense of what science is. And 673 00:36:17,840 --> 00:36:21,519 that's a national tragedy. The sad part of that is 674 00:36:21,519 --> 00:36:28,159 that it's it's really crazy simple, wonderfully elegant, and you know, 675 00:36:29,079 --> 00:36:33,880 you resist. Everyone resists a quick nap conversion of that. 676 00:36:34,320 --> 00:36:37,039 But we need that in order to communicate to people 677 00:36:37,079 --> 00:36:40,119 what science is, because science is one of these endeavors 678 00:36:40,159 --> 00:36:42,880 that you cannot know science until you know what it 679 00:36:42,960 --> 00:36:46,639 isn't it. Maybe it may be unique in that regard. 680 00:36:47,000 --> 00:36:50,400 I wouldn't tell you studying the clarinet to know how 681 00:36:50,400 --> 00:36:51,880 it's not like the French horn. 682 00:36:52,880 --> 00:36:55,440 Speaker 5: Maybe I've got that wrong, Maybe it is that way. 683 00:36:55,800 --> 00:36:58,280 Speaker 3: But in the in the space of science, we find 684 00:36:58,320 --> 00:37:01,599 ourselves committing in an order an amount of effort to making 685 00:37:01,639 --> 00:37:06,119 sure that everyone understands what science isn't. And so are 686 00:37:06,119 --> 00:37:08,119 you asking me to take that jump to give the 687 00:37:08,639 --> 00:37:12,360 quick because and it's kind of fun. I almost hate 688 00:37:12,400 --> 00:37:16,079 doing it because I like asking people, especially in groups, 689 00:37:16,119 --> 00:37:19,440 what science is. And this isn't my parlor trick. 690 00:37:19,519 --> 00:37:21,880 Speaker 5: I learned this from my own man watching him do it. 691 00:37:22,239 --> 00:37:24,119 Speaker 3: But you can take a room full of scientists and 692 00:37:24,119 --> 00:37:25,960 ask him what science is and put it on the board, 693 00:37:26,000 --> 00:37:29,519 accept everything they give you. Now throw astronomy astrology up 694 00:37:29,960 --> 00:37:31,840 and my dad would take the role of the astrologer. 695 00:37:31,880 --> 00:37:34,440 And I'm now going to accept everyone's definition that you've 696 00:37:34,440 --> 00:37:36,320 put up here, element by element, and tell you how 697 00:37:36,400 --> 00:37:40,559 it is exactly what I do is an astrologer. And 698 00:37:40,599 --> 00:37:43,119 the truth is, until you put that lineup of the 699 00:37:43,159 --> 00:37:46,960 predictive strength of your models, until you see that you 700 00:37:47,039 --> 00:37:51,000 have not found the demarcation, and that philosophically is critical. 701 00:37:51,039 --> 00:37:52,679 Speaker 5: If anyone's going to take anything. 702 00:37:52,320 --> 00:37:57,079 Speaker 3: Away at all, it's that is that science earns our trust. 703 00:37:58,400 --> 00:38:05,000 Science finds validation science that holds its objectivity in the 704 00:38:05,079 --> 00:38:06,760 predicted strength of its models.