1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,279 Speaker 1: production of I Heart Brading. Welcome back to the show. 5 00:00:25,400 --> 00:00:28,840 Speaker 1: My name is Matt. Our friend Noel is on Adventures, 6 00:00:28,880 --> 00:00:32,120 Speaker 1: but we'll be returning in the future. They call me Ben. 7 00:00:32,240 --> 00:00:35,280 Speaker 1: We are joined as always with our super producer Paul, 8 00:00:35,360 --> 00:00:39,159 Speaker 1: Mission controlled decand most importantly, you are you. You are 9 00:00:39,280 --> 00:00:42,680 Speaker 1: here and that makes this stuff they don't want you 10 00:00:42,880 --> 00:00:47,199 Speaker 1: to know. Matt, This is a this This is a 11 00:00:47,240 --> 00:00:50,159 Speaker 1: wide ranging episode for us today, isn't it It is? 12 00:00:50,280 --> 00:00:53,360 Speaker 1: But it brings in topics that we've been covering over 13 00:00:53,400 --> 00:00:58,560 Speaker 1: the past seven years at least seven I think almost 14 00:00:58,720 --> 00:01:01,960 Speaker 1: seven in this or we will become seven. But yeah, 15 00:01:02,000 --> 00:01:04,560 Speaker 1: we we've hit on a lot of the topics that 16 00:01:04,600 --> 00:01:07,200 Speaker 1: we're going to kind of pull in here. So hopefully 17 00:01:07,200 --> 00:01:10,480 Speaker 1: you've listened to many of the episodes. Uh, if not, 18 00:01:10,720 --> 00:01:13,399 Speaker 1: maybe go back, you know, check out check out some 19 00:01:13,440 --> 00:01:15,679 Speaker 1: of the ones that you can kind of infer that 20 00:01:15,720 --> 00:01:17,880 Speaker 1: we're gonna be talking about with this topic as you've 21 00:01:17,880 --> 00:01:19,920 Speaker 1: read in the title, and then come back to this 22 00:01:19,959 --> 00:01:22,160 Speaker 1: episode because we are gonna be pulling in a lot 23 00:01:22,200 --> 00:01:24,559 Speaker 1: of stuff, and we we're not gonna have time to 24 00:01:24,640 --> 00:01:29,199 Speaker 1: hit everything in complete detail. And this, uh, this wide 25 00:01:29,319 --> 00:01:33,120 Speaker 1: ranging episode is also by its nature collaborative, as we 26 00:01:33,200 --> 00:01:37,200 Speaker 1: of course hope all of our episodes are, because we 27 00:01:37,440 --> 00:01:40,720 Speaker 1: need your help, we want your involvement, as we often 28 00:01:40,720 --> 00:01:44,759 Speaker 1: say you specifically, you are the most important part of 29 00:01:44,800 --> 00:01:48,080 Speaker 1: this show. Those are not empty words. As as a 30 00:01:48,080 --> 00:01:52,880 Speaker 1: matter of fact, to prove that these are not empty words, 31 00:01:53,320 --> 00:01:55,920 Speaker 1: to put our money where our mouths are or where 32 00:01:55,960 --> 00:01:59,400 Speaker 1: your ears are as you listen to this. Uh, you know, Matt, 33 00:01:59,480 --> 00:02:03,880 Speaker 1: I I checked on our Twitter at conspiracy stuff on Twitter. 34 00:02:03,920 --> 00:02:05,680 Speaker 1: I checked on our Twitter feed, and I had no 35 00:02:05,760 --> 00:02:11,440 Speaker 1: idea that we we have more people befriending us on 36 00:02:11,440 --> 00:02:16,399 Speaker 1: Twitter than I thought. Not not not a big number. Um, 37 00:02:16,400 --> 00:02:18,560 Speaker 1: it's a big number in absolute terms, but it was 38 00:02:18,560 --> 00:02:22,120 Speaker 1: bigger than I thought it was for for us, it's 39 00:02:22,160 --> 00:02:25,400 Speaker 1: a big number. UM. I give me to say what 40 00:02:25,440 --> 00:02:29,320 Speaker 1: it is exactly where we are according to the mobile version, 41 00:02:29,440 --> 00:02:35,160 Speaker 1: we have nine thousand, two hundred something followers. Holy smokes, Well, 42 00:02:35,360 --> 00:02:38,000 Speaker 1: we don't consider you followers by the way. Yeah, that's right, 43 00:02:38,040 --> 00:02:41,320 Speaker 1: that's an awful word. You are fellow conspiracy realists. You 44 00:02:41,360 --> 00:02:44,920 Speaker 1: are fellow listeners, so we thought we would give some 45 00:02:45,040 --> 00:02:47,040 Speaker 1: of you a quick shout out at the top of 46 00:02:47,080 --> 00:02:50,320 Speaker 1: the show. And we hope that the people will shout 47 00:02:50,320 --> 00:02:52,760 Speaker 1: out are listening, but we want to share what they 48 00:02:52,800 --> 00:02:55,919 Speaker 1: said with you, especially for those of us who are 49 00:02:56,000 --> 00:03:00,520 Speaker 1: not on Twitter. So unless everybody hates this, we're gonna 50 00:03:00,560 --> 00:03:03,280 Speaker 1: make this a regular thing. Here we go. We'll just 51 00:03:03,360 --> 00:03:07,280 Speaker 1: we'll just read a few shout out to shoot one 52 00:03:07,600 --> 00:03:11,600 Speaker 1: Stewart hop for over there on Twitter, who's responding to 53 00:03:11,720 --> 00:03:15,200 Speaker 1: our recent coronavirus episode. We do have an update coming. 54 00:03:15,480 --> 00:03:18,280 Speaker 1: And Stewart, you said, I listened to this episode and 55 00:03:18,280 --> 00:03:21,040 Speaker 1: there's something you should have mentioned. Aside from wearing a 56 00:03:21,160 --> 00:03:24,160 Speaker 1: mask to not get sick or catching something, they have 57 00:03:24,240 --> 00:03:27,240 Speaker 1: also been worn for those who have not done their makeup, 58 00:03:27,600 --> 00:03:31,520 Speaker 1: which really which I thought was interesting. Yeah, so maybe 59 00:03:31,520 --> 00:03:35,680 Speaker 1: you're in a hurry and uh you feel like you 60 00:03:35,720 --> 00:03:38,240 Speaker 1: should have, as they say, put on your face, but 61 00:03:38,320 --> 00:03:40,119 Speaker 1: you didn't have time, so you say, I'll just I'll 62 00:03:40,200 --> 00:03:42,440 Speaker 1: slap on the mask. I'm just running to the store. 63 00:03:42,800 --> 00:03:46,080 Speaker 1: Yeah it's interesting. Huh, it really is. I never would 64 00:03:46,080 --> 00:03:49,960 Speaker 1: have thought about that, And so, uh, here's here's a 65 00:03:49,960 --> 00:03:56,160 Speaker 1: another one. Uh. Patrick Lee six six six nine was 66 00:03:56,240 --> 00:04:01,680 Speaker 1: responding to our earlier tangent about ridiculous d C villains 67 00:04:02,360 --> 00:04:06,200 Speaker 1: and he hipped us to, uh, this fantastic Batman villain, 68 00:04:06,560 --> 00:04:10,480 Speaker 1: ten eyed Man. Patrick just said, look him up, ten 69 00:04:10,600 --> 00:04:16,240 Speaker 1: eyed man. Yeah, he's got his thing is that his 70 00:04:16,360 --> 00:04:20,200 Speaker 1: only superpower is that he wears a headband over where 71 00:04:20,240 --> 00:04:24,240 Speaker 1: the rest of us normals would have eyes. And his eyes, 72 00:04:24,360 --> 00:04:26,839 Speaker 1: the ten eyed Man's eyes are on the tips of 73 00:04:26,880 --> 00:04:32,800 Speaker 1: his fingertips. What what they're on his Yeah, not tips 74 00:04:32,800 --> 00:04:35,800 Speaker 1: of his fingertips is is redundant, but they're on his fingertips. 75 00:04:36,040 --> 00:04:40,360 Speaker 1: Oh so we're talking about Philip Reardon. Okay, I've seen 76 00:04:40,360 --> 00:04:43,880 Speaker 1: the costume that has eyes going down his chest. Yeah, 77 00:04:44,000 --> 00:04:49,120 Speaker 1: those are decorative though. His real power finger tips. Oh man, 78 00:04:49,800 --> 00:04:52,160 Speaker 1: this is really cool. He's in the bat the bat verse. 79 00:04:52,880 --> 00:04:56,400 Speaker 1: Yeah yeah, yeah, yeah, he's up there with the Joker 80 00:04:56,440 --> 00:05:02,679 Speaker 1: I assumes as the most power full of Batman's villains. Uh. 81 00:05:02,720 --> 00:05:06,000 Speaker 1: And last one for today, last Twitter shout out for 82 00:05:06,120 --> 00:05:11,960 Speaker 1: today is our in Gen three eleven says have you 83 00:05:12,000 --> 00:05:17,480 Speaker 1: all heard of and watch the documentary Active Measures on Hulu? 84 00:05:17,640 --> 00:05:20,880 Speaker 1: My tim foil hat is on and conspiracies are are afoot. 85 00:05:21,000 --> 00:05:23,080 Speaker 1: Check it out if you get a chance. Folks, let 86 00:05:23,160 --> 00:05:26,000 Speaker 1: us know if you've seen active measures I have not. 87 00:05:26,720 --> 00:05:29,200 Speaker 1: Let let us know if it's if it's worthwhile for 88 00:05:29,279 --> 00:05:32,599 Speaker 1: your fellow listeners, and thanks to you guys, Thanks to 89 00:05:32,640 --> 00:05:36,120 Speaker 1: everyone who has befriended us on Twitter and joined the 90 00:05:36,200 --> 00:05:40,160 Speaker 1: ranks of the conspiracy Realist. Again, we are at conspiracy stuff. 91 00:05:40,400 --> 00:05:42,719 Speaker 1: If you ever want to just shoot off a quick 92 00:05:42,720 --> 00:05:45,680 Speaker 1: tweet to us while you're while you're hearing something. This 93 00:05:45,760 --> 00:05:49,640 Speaker 1: episode may may get a little personal for people. I 94 00:05:49,680 --> 00:05:52,720 Speaker 1: know it's it's full confession, a little bit personal for me, 95 00:05:53,320 --> 00:05:57,599 Speaker 1: uh Matt. As you pointed out earlier, today's episode is 96 00:05:58,160 --> 00:06:01,320 Speaker 1: a gestalt you know, it's q milative. It's going to 97 00:06:01,480 --> 00:06:04,720 Speaker 1: trend a bit towards the philosophical, but we've based it 98 00:06:04,800 --> 00:06:08,880 Speaker 1: on uh pretty hard and that times sobering science. As 99 00:06:08,920 --> 00:06:13,039 Speaker 1: you said, in the past, we've explored specific concrete examples 100 00:06:13,040 --> 00:06:18,040 Speaker 1: of things like resource extraction. That's where that's where a 101 00:06:18,160 --> 00:06:23,760 Speaker 1: state actor or a corporation or state sponsor corporation goes 102 00:06:23,839 --> 00:06:28,400 Speaker 1: into usually a developing country and purposefully keeps the people 103 00:06:28,560 --> 00:06:32,960 Speaker 1: broke while taking things like their lithium or their cobalt 104 00:06:33,160 --> 00:06:37,600 Speaker 1: or their sugar or their you know, their coca beam production. Yeah. 105 00:06:37,640 --> 00:06:42,600 Speaker 1: And the the more recent modern version of that is 106 00:06:42,640 --> 00:06:46,279 Speaker 1: exactly what you said up top there. The minerals, the 107 00:06:46,320 --> 00:06:49,600 Speaker 1: things that are needed to produce technologies, right, the rare 108 00:06:49,839 --> 00:06:53,760 Speaker 1: earth elements, right, the rare earth metals. So we've also 109 00:06:53,800 --> 00:06:57,919 Speaker 1: looked at global health crises such as, uh, the the 110 00:06:57,960 --> 00:07:01,760 Speaker 1: idea of a superbug. Right. Yeah, shout out to you 111 00:07:01,960 --> 00:07:07,000 Speaker 1: livestock industry, thanks for making antibiotics useless. And also shout 112 00:07:07,000 --> 00:07:09,760 Speaker 1: out to Seattle right now, who recently had to close 113 00:07:09,800 --> 00:07:13,480 Speaker 1: down schools because of the COVID nineteen to get in 114 00:07:13,520 --> 00:07:16,080 Speaker 1: front of it. And here where we are in Atlanta, 115 00:07:16,120 --> 00:07:21,040 Speaker 1: Fulton County is experiencing the beginnings of an outbreak. Yeah, yeah, 116 00:07:21,080 --> 00:07:24,520 Speaker 1: I mean the outbreak is already happening, yes, but we're 117 00:07:24,640 --> 00:07:28,520 Speaker 1: we're actually seeing it, right, We're actually seeing, uh, the 118 00:07:28,640 --> 00:07:33,120 Speaker 1: numbers beginning to rise as they do in a in 119 00:07:33,160 --> 00:07:36,800 Speaker 1: a localized area, right exactly. It's starting to hit home 120 00:07:37,200 --> 00:07:40,160 Speaker 1: and we're seeing actions being taken. We've also looked at 121 00:07:40,200 --> 00:07:43,440 Speaker 1: unethical corporate or state behavior tail as old as time. 122 00:07:43,720 --> 00:07:48,280 Speaker 1: I've looked at overpopulation, is it alarmism? Are we being 123 00:07:48,360 --> 00:07:53,160 Speaker 1: too are we being too sedate in our response to 124 00:07:53,240 --> 00:07:56,720 Speaker 1: the threats? We're certainly using too much stuff. We're certainly 125 00:07:56,840 --> 00:07:59,840 Speaker 1: using too much stuff. That's right. Today, we are combining 126 00:08:00,280 --> 00:08:04,840 Speaker 1: all of these previous investigations to answer a single, uh 127 00:08:05,000 --> 00:08:09,720 Speaker 1: damning question and so question that people have racked their 128 00:08:09,720 --> 00:08:14,239 Speaker 1: brains over for millennion and is this Is there enough 129 00:08:14,720 --> 00:08:19,800 Speaker 1: for everyone? And in other words, can this planet support 130 00:08:19,880 --> 00:08:22,760 Speaker 1: the current human population? And we don't mean just like 131 00:08:23,080 --> 00:08:26,640 Speaker 1: keep them alive matrix style, but we mean give them 132 00:08:26,680 --> 00:08:30,200 Speaker 1: lives they consider worth living. And this is this is 133 00:08:30,280 --> 00:08:33,320 Speaker 1: an enormous and profound question. I mean, after all, for 134 00:08:33,480 --> 00:08:37,960 Speaker 1: billions of people, this world is a brutal, dangerous place. 135 00:08:38,520 --> 00:08:43,439 Speaker 1: Life is hard, it is painful, it is often terrifying. 136 00:08:44,120 --> 00:08:46,760 Speaker 1: And there's only one cold comfort for a lot of 137 00:08:46,760 --> 00:08:49,840 Speaker 1: people suffering, and that's that the folks on the receiving 138 00:08:49,960 --> 00:08:53,079 Speaker 1: end of the majority of life's terrors often tend not 139 00:08:53,160 --> 00:08:58,120 Speaker 1: to live long. Wow, that's not bleak. That's not bleak 140 00:08:58,160 --> 00:09:03,400 Speaker 1: at all, the super bleak. So is there enough for everyone? 141 00:09:03,640 --> 00:09:06,640 Speaker 1: Here are the facts? Matt. What do we mean when 142 00:09:06,640 --> 00:09:12,080 Speaker 1: we say everyone right now? Well, right now as of Friday, 143 00:09:12,120 --> 00:09:17,080 Speaker 1: March six, at eleven twenty one a m Eastern time. 144 00:09:17,520 --> 00:09:21,560 Speaker 1: There are seven billion, seven hundred and sixty nine million, 145 00:09:21,760 --> 00:09:27,439 Speaker 1: sixty four thousand, seven hundred and forty four people. It 146 00:09:27,720 --> 00:09:30,280 Speaker 1: just changed, keeps changing, It keeps changing, and the clock 147 00:09:30,360 --> 00:09:35,160 Speaker 1: keeps running up. That's so many people we cannot Science 148 00:09:35,160 --> 00:09:40,600 Speaker 1: proves that it's very difficult for our brains to grock 149 00:09:41,280 --> 00:09:46,440 Speaker 1: the concept of one billion. Yeah, I can't crock one billion. No, No, 150 00:09:46,760 --> 00:09:49,120 Speaker 1: I can't. I have a tough time with that too. 151 00:09:50,000 --> 00:09:52,640 Speaker 1: And this is this is a new development, right, the 152 00:09:52,760 --> 00:09:56,360 Speaker 1: number of your laughing because I said rock. That's a word, right, 153 00:09:58,040 --> 00:10:00,760 Speaker 1: I've never used it, but I joy it very much. 154 00:10:00,800 --> 00:10:03,760 Speaker 1: I might be in the wrong timeline again, but uh, 155 00:10:04,240 --> 00:10:07,760 Speaker 1: this is a relatively new development. The number of quote 156 00:10:07,840 --> 00:10:12,840 Speaker 1: unquote modern human beings on Earth has been pretty small 157 00:10:13,000 --> 00:10:17,720 Speaker 1: until very very very very recently. Yeah, just ten thousand 158 00:10:17,760 --> 00:10:21,240 Speaker 1: years ago. Think about that. Ten thousand years ago, there 159 00:10:21,320 --> 00:10:23,400 Speaker 1: might have been no more than a few million people 160 00:10:23,520 --> 00:10:26,080 Speaker 1: wandering around on the planet. And those populations are going 161 00:10:26,120 --> 00:10:29,440 Speaker 1: to be pretty far spread. And the one billion mark 162 00:10:29,600 --> 00:10:32,640 Speaker 1: wasn't passed until the eighteen hundreds, very early in the 163 00:10:32,640 --> 00:10:35,959 Speaker 1: eighteen hundreds. The two billion mark wasn't passed until the 164 00:10:36,080 --> 00:10:41,080 Speaker 1: nineteen twenties. So we have just just exponentially exploded here 165 00:10:41,720 --> 00:10:44,400 Speaker 1: and all of us walking around just because of where 166 00:10:44,480 --> 00:10:47,480 Speaker 1: we live, because of the cultures in which we live. 167 00:10:47,800 --> 00:10:51,400 Speaker 1: We want a whole bunch of stuff, just stuff that 168 00:10:51,440 --> 00:10:53,400 Speaker 1: we use. A lot of times. We throw it away. 169 00:10:53,400 --> 00:10:55,240 Speaker 1: Sometimes we keep it around for a couple of years 170 00:10:55,280 --> 00:10:57,840 Speaker 1: until it breaks and throw it away. Maybe we can 171 00:10:57,880 --> 00:10:59,679 Speaker 1: recycle it, maybe we can reuse it in a way, 172 00:10:59,720 --> 00:11:02,120 Speaker 1: but jen really it ends up in the trash. Here's 173 00:11:02,120 --> 00:11:05,080 Speaker 1: the thing. We all have different ideas of what that 174 00:11:05,240 --> 00:11:07,920 Speaker 1: stuff should be, like we said, because of that culture, 175 00:11:08,440 --> 00:11:11,000 Speaker 1: but we only need a few basic things. We only 176 00:11:11,080 --> 00:11:14,800 Speaker 1: need a few basic things, right right. It's a it's 177 00:11:14,800 --> 00:11:18,600 Speaker 1: a conversation that a lot of parents in the crowd 178 00:11:18,679 --> 00:11:21,200 Speaker 1: have had with their children. A lot of us have 179 00:11:21,280 --> 00:11:25,280 Speaker 1: had this conversation with our own parents, where wherein the 180 00:11:25,360 --> 00:11:29,120 Speaker 1: adult explains the difference between what you need and what 181 00:11:29,200 --> 00:11:32,720 Speaker 1: you want. It's never a super fun conversation for the kid, 182 00:11:33,040 --> 00:11:36,040 Speaker 1: and it's probably not a super fun conversation for the adult. 183 00:11:36,480 --> 00:11:39,880 Speaker 1: But it's true, Matt, we only need a few basic things. 184 00:11:39,960 --> 00:11:42,800 Speaker 1: Let's look at that. Here's a here's a question. How 185 00:11:42,920 --> 00:11:47,600 Speaker 1: much food does one person need, not want, but need. 186 00:11:48,440 --> 00:11:52,199 Speaker 1: Turns out people don't actually need a ton of calories 187 00:11:52,240 --> 00:11:55,760 Speaker 1: to survive every day. According to the US Department of Health, 188 00:11:56,240 --> 00:12:01,320 Speaker 1: adult males generally require somewhere between two thousand to three 189 00:12:01,320 --> 00:12:05,200 Speaker 1: thousand calories per day, so every twenty four hours to 190 00:12:05,440 --> 00:12:10,959 Speaker 1: maintain their weight, and adult females need around sixteen hundred 191 00:12:10,960 --> 00:12:14,520 Speaker 1: to two hundred. Of course, those numbers are super loose, 192 00:12:14,640 --> 00:12:19,719 Speaker 1: and and the concept of gender, you know, is somewhat problematic. 193 00:12:19,800 --> 00:12:23,360 Speaker 1: But but what we're saying is that's that's the ballpark, 194 00:12:23,440 --> 00:12:28,199 Speaker 1: somewhere between sixteen hundred to three thousand, not to gain 195 00:12:28,320 --> 00:12:31,560 Speaker 1: muscle mass and hulk out and not to shed a 196 00:12:31,600 --> 00:12:35,160 Speaker 1: bunch of weight and get felt enough to where you know, 197 00:12:35,360 --> 00:12:37,640 Speaker 1: your old bell bottoms or something. Yeah, And it's all 198 00:12:38,520 --> 00:12:42,160 Speaker 1: the calorie is a measurement of energy, right, right, So 199 00:12:42,360 --> 00:12:46,559 Speaker 1: it all depends on the output that you're having as 200 00:12:46,559 --> 00:12:50,280 Speaker 1: well how much energy you're using. Yeah, yeah, exactly. If you, 201 00:12:50,520 --> 00:12:54,480 Speaker 1: for instance, have a relatively sedentary existence, you're going to 202 00:12:54,559 --> 00:12:57,200 Speaker 1: be on the lower end of the caloric scale. And 203 00:12:57,400 --> 00:13:01,920 Speaker 1: if you have a very physically active existence, then you're 204 00:13:01,920 --> 00:13:04,880 Speaker 1: going to need more fuel for the fire of course, 205 00:13:05,559 --> 00:13:08,720 Speaker 1: you know, our species is nothing if not durable. People 206 00:13:08,800 --> 00:13:13,920 Speaker 1: can and do survive long, often harrowing periods deprived of 207 00:13:13,960 --> 00:13:17,760 Speaker 1: proper nutrition, and you know you can bounce back from that, 208 00:13:18,000 --> 00:13:21,960 Speaker 1: but after a certain point you will also experience lifelong 209 00:13:22,160 --> 00:13:27,440 Speaker 1: medical consequences of that. Furthermore, epigenetics proves that the medical 210 00:13:27,520 --> 00:13:33,360 Speaker 1: consequences of long periods of privation will carry on after 211 00:13:33,440 --> 00:13:36,440 Speaker 1: you die. They'll carry on in your genetic code and 212 00:13:36,480 --> 00:13:39,400 Speaker 1: the way it expresses in your offspring. And there is 213 00:13:39,480 --> 00:13:43,199 Speaker 1: also the concept here that occurs in this country and 214 00:13:43,280 --> 00:13:46,679 Speaker 1: many other places across the world, where you are hitting 215 00:13:46,840 --> 00:13:50,079 Speaker 1: or exceeding those calories that you need, but the nutrition 216 00:13:50,200 --> 00:13:53,480 Speaker 1: of those calories is not what you need, right, You're 217 00:13:53,480 --> 00:13:56,319 Speaker 1: not actually getting the things within the food you're consuming 218 00:13:56,840 --> 00:14:02,560 Speaker 1: to make a healthy body. Yeah, exactly. Now we've got 219 00:14:02,600 --> 00:14:07,400 Speaker 1: that number. So they're almost seven point eight billion people. 220 00:14:07,480 --> 00:14:10,760 Speaker 1: They need somewhere between six hundred and three thousand calories 221 00:14:10,960 --> 00:14:15,199 Speaker 1: every twenty four hours, just four things to be status quo. 222 00:14:15,960 --> 00:14:19,520 Speaker 1: How much does the world eat? This is interesting, there's 223 00:14:19,520 --> 00:14:25,160 Speaker 1: a related question. Yeah, globally, every sixty seconds, we eat 224 00:14:25,320 --> 00:14:30,240 Speaker 1: eleven point five million pounds of food. As that's everybody 225 00:14:30,280 --> 00:14:32,640 Speaker 1: that's our collective tab at the buffet of the world 226 00:14:32,880 --> 00:14:36,760 Speaker 1: one minute, eleven million. So to put that in terms 227 00:14:36,800 --> 00:14:38,880 Speaker 1: we understand, I think you and I were talking about 228 00:14:38,880 --> 00:14:42,160 Speaker 1: this on a previous episode. How people in the US 229 00:14:42,280 --> 00:14:45,080 Speaker 1: will do will make up any kind of measurement to 230 00:14:45,160 --> 00:14:48,280 Speaker 1: avoid using the metric system. Okay, so we'll put that 231 00:14:48,320 --> 00:14:51,520 Speaker 1: in terms we can understand. That's about twenty million big 232 00:14:51,560 --> 00:14:57,600 Speaker 1: max every uh every sixty seconds. Wow. So if you 233 00:14:57,720 --> 00:15:00,800 Speaker 1: love big Max, that's that's the metric for you. If 234 00:15:00,840 --> 00:15:03,640 Speaker 1: you hate them, well, that'll just make the rest of 235 00:15:03,680 --> 00:15:06,160 Speaker 1: the bad news. We're gonna get to even more harrowing. 236 00:15:06,760 --> 00:15:11,080 Speaker 1: So here's the catch. While we actually eat that eleven 237 00:15:11,120 --> 00:15:16,240 Speaker 1: point five million pounds of food in one minute, we 238 00:15:16,400 --> 00:15:23,000 Speaker 1: also waste two thousand, four hundred and seventy two tons. Dude, 239 00:15:23,000 --> 00:15:26,320 Speaker 1: I'm looking at the world food clock right now that 240 00:15:26,360 --> 00:15:29,480 Speaker 1: has all of this how much is produced, consumed, and wasted, 241 00:15:29,960 --> 00:15:34,000 Speaker 1: and it's the food clock counts up every second of 242 00:15:34,000 --> 00:15:38,760 Speaker 1: of those three metrics. I'm like, I hate it. I'm terrified. 243 00:15:38,800 --> 00:15:40,920 Speaker 1: I'm just I'm staring at it while you're telling me 244 00:15:41,040 --> 00:15:44,480 Speaker 1: these facts, men, and my brain is exploding a little bit. 245 00:15:44,960 --> 00:15:49,000 Speaker 1: It's crazy. Oh, and just to get us into more 246 00:15:49,040 --> 00:15:52,000 Speaker 1: of an Apple's two apples comparison, there eleven point five 247 00:15:52,080 --> 00:15:56,160 Speaker 1: million pounds. That's like five thousand, one d thirty three tons, 248 00:15:57,240 --> 00:15:59,920 Speaker 1: and that doesn't count the two thousand, four and seven 249 00:16:00,120 --> 00:16:04,080 Speaker 1: two tons that are just straight in the garbage can. 250 00:16:04,800 --> 00:16:09,600 Speaker 1: So logically, then if we were more efficient, this means 251 00:16:09,680 --> 00:16:14,200 Speaker 1: that we could feed everyone. We we could feed everyone 252 00:16:14,240 --> 00:16:18,160 Speaker 1: every day. We just don't. There's no and there's other 253 00:16:18,160 --> 00:16:20,520 Speaker 1: stuff to get into. There were talking about later, yes, 254 00:16:20,680 --> 00:16:27,160 Speaker 1: about why currently can't or won't, Yes, but why why 255 00:16:27,200 --> 00:16:31,040 Speaker 1: it's not happening even though it's possible. Yeah, So let's 256 00:16:31,120 --> 00:16:34,320 Speaker 1: I want to brack it to the side. The problem 257 00:16:34,400 --> 00:16:39,760 Speaker 1: with water, With potable or drinkable water, it's a different case. Unfortunately, 258 00:16:39,800 --> 00:16:42,640 Speaker 1: it's when we're gonna have to tackle in an episode 259 00:16:42,960 --> 00:16:46,840 Speaker 1: all its own because spoiler alert. While the news about 260 00:16:47,120 --> 00:16:52,160 Speaker 1: food does have a happy ending, the news about water doesn't. 261 00:16:52,320 --> 00:16:56,080 Speaker 1: Yet it doesn't. Really, more than two billion people of 262 00:16:56,160 --> 00:16:59,440 Speaker 1: the seven point eight billion people here on Earth lack 263 00:17:00,000 --> 00:17:05,000 Speaker 1: clean drinking water at home, available on demand. Meaning of 264 00:17:05,080 --> 00:17:08,960 Speaker 1: the seven point eight billion, more than two billion don't 265 00:17:09,000 --> 00:17:11,600 Speaker 1: have a faucet they can go to in their house 266 00:17:11,800 --> 00:17:15,040 Speaker 1: that just turns on and give them water that won't 267 00:17:15,280 --> 00:17:19,359 Speaker 1: kill them. A major U n report from back in 268 00:17:19,600 --> 00:17:22,879 Speaker 1: two thousand eighteen in June shows that the world is 269 00:17:23,119 --> 00:17:26,760 Speaker 1: way off track. The U ninety Nations had a goal 270 00:17:26,880 --> 00:17:29,760 Speaker 1: which was to bring safe water and sanitation to everyone 271 00:17:29,800 --> 00:17:33,240 Speaker 1: on the planet. By we're not going to make that happen. 272 00:17:33,600 --> 00:17:38,840 Speaker 1: It's the the pigeon of potable water has flown the 273 00:17:38,880 --> 00:17:42,919 Speaker 1: coop by fifty In fact, half of the world's population 274 00:17:43,400 --> 00:17:49,000 Speaker 1: just might not have safe water. And here's the well, currently, 275 00:17:49,920 --> 00:17:53,879 Speaker 1: here's the deal. There only really two ways to change 276 00:17:53,920 --> 00:17:57,119 Speaker 1: these numbers, and that is to reduce the number of 277 00:17:57,160 --> 00:18:00,639 Speaker 1: people that need to have clean drinking water, or is 278 00:18:00,680 --> 00:18:06,840 Speaker 1: to somehow revolutionize the purification technology, or get some this 279 00:18:06,880 --> 00:18:10,879 Speaker 1: is the third option, get some kind of angel, billionaire, 280 00:18:11,080 --> 00:18:15,040 Speaker 1: trillionaire investor or group of investors to just put the 281 00:18:15,080 --> 00:18:18,639 Speaker 1: money into make it happen, right, right, to get some 282 00:18:18,800 --> 00:18:23,359 Speaker 1: of that billionaire blessing for purification technology. Or if we 283 00:18:23,400 --> 00:18:27,440 Speaker 1: want to get really space age, we could look into 284 00:18:28,359 --> 00:18:33,200 Speaker 1: somehow getting non terrestrial sources of water, right to farm 285 00:18:33,240 --> 00:18:36,600 Speaker 1: a comet or something. Yeah, I know totally. I'm just 286 00:18:36,640 --> 00:18:41,480 Speaker 1: trying to imagine the cost difference between farming from a comet, 287 00:18:41,760 --> 00:18:45,359 Speaker 1: you know, just cleaning some water, making a plant in 288 00:18:45,400 --> 00:18:49,720 Speaker 1: places where there there aren't those plants. Yeah, it's it's 289 00:18:49,760 --> 00:18:52,119 Speaker 1: the equivalent of let's go out and buy water and 290 00:18:52,160 --> 00:18:55,600 Speaker 1: someone say, no, we have water at home, just clean it, right. 291 00:18:56,240 --> 00:19:00,200 Speaker 1: So we also, I like the brought up money because 292 00:19:00,240 --> 00:19:03,040 Speaker 1: we want to we need to just touch on that 293 00:19:03,440 --> 00:19:06,240 Speaker 1: the average income. So we have all the we have 294 00:19:06,359 --> 00:19:10,320 Speaker 1: these billions of people. What what does the average person 295 00:19:10,440 --> 00:19:13,320 Speaker 1: take home? This is a tricky question and there's no 296 00:19:13,640 --> 00:19:18,720 Speaker 1: way to really contextualize it and do justice to the 297 00:19:18,760 --> 00:19:21,240 Speaker 1: reality on the ground because we have to remember there 298 00:19:21,240 --> 00:19:26,000 Speaker 1: are vast amounts of income inequality. But if we total 299 00:19:26,119 --> 00:19:30,520 Speaker 1: up all of the available information, then we find the 300 00:19:30,680 --> 00:19:36,679 Speaker 1: average global household income is something like nine thousand, seven 301 00:19:36,760 --> 00:19:41,720 Speaker 1: hundred seventy three dollars per year, so a little under 302 00:19:41,760 --> 00:19:45,439 Speaker 1: ten grand per household per year. A lot of people 303 00:19:45,520 --> 00:19:49,720 Speaker 1: listening in the West already make more than that on 304 00:19:49,760 --> 00:19:52,199 Speaker 1: their own and a lot of people do not. And 305 00:19:52,240 --> 00:19:54,919 Speaker 1: then of course we have to remember that number of 306 00:19:54,920 --> 00:19:58,640 Speaker 1: factors in people like Jeff Bezos Amazon, so that guy 307 00:19:58,720 --> 00:20:01,520 Speaker 1: is busting the curve forever one and then a lot 308 00:20:01,640 --> 00:20:05,840 Speaker 1: of almost or very close to zero, right right, A 309 00:20:05,880 --> 00:20:10,440 Speaker 1: ton of that, yes, and those results come from uh 310 00:20:10,480 --> 00:20:13,639 Speaker 1: some gallop research between two thousand and six and two thousand, 311 00:20:13,720 --> 00:20:18,119 Speaker 1: twelve and thirty one populations. Here's how here's how screwed 312 00:20:18,200 --> 00:20:21,879 Speaker 1: up that metric is income in the top ten wealthiest 313 00:20:21,920 --> 00:20:25,040 Speaker 1: populations in the world are more than fifty times that 314 00:20:25,560 --> 00:20:28,639 Speaker 1: of those in the ten porous populations. And all of 315 00:20:28,680 --> 00:20:34,200 Speaker 1: the temporis populations are currently located in Sub Saharan Africa. 316 00:20:34,520 --> 00:20:37,320 Speaker 1: So we hit money, we hit water, we hit food, 317 00:20:37,920 --> 00:20:42,439 Speaker 1: and now we have to confront the big, big, the 318 00:20:42,440 --> 00:20:47,040 Speaker 1: big elephant team grim reaper in the room, which is mortality. 319 00:20:47,080 --> 00:20:49,640 Speaker 1: And we'll do that after a word from our sponsor. 320 00:20:56,880 --> 00:20:59,359 Speaker 1: All right, so we have all of these people, we 321 00:20:59,440 --> 00:21:02,520 Speaker 1: have all of these needs. By the way, we also 322 00:21:02,600 --> 00:21:10,320 Speaker 1: need love and that's really all you need. Um. But 323 00:21:13,119 --> 00:21:17,480 Speaker 1: let's look at how we are exiting this this planet, 324 00:21:17,560 --> 00:21:22,480 Speaker 1: exiting this uh experience that we call life. In sen 325 00:21:23,359 --> 00:21:27,679 Speaker 1: As of officially three years ago, fifty six million people 326 00:21:27,840 --> 00:21:32,640 Speaker 1: died that year and the top three causes were cardiovascular disease. 327 00:21:33,119 --> 00:21:38,000 Speaker 1: There were seventeen point six five million deaths due to 328 00:21:38,000 --> 00:21:42,280 Speaker 1: cardiovascular disease. That represents thirty two point to six percent 329 00:21:42,400 --> 00:21:45,960 Speaker 1: of all the deaths, and then cancers came in second. 330 00:21:46,359 --> 00:21:49,720 Speaker 1: There were eight point nine three million deaths that were 331 00:21:49,720 --> 00:21:52,480 Speaker 1: caused by cancer or at least in some way associated 332 00:21:52,520 --> 00:21:55,159 Speaker 1: with cancer, and the sheaf of death there is sixteen 333 00:21:55,320 --> 00:21:59,959 Speaker 1: point three two And then next up is respiratory disease 334 00:22:00,080 --> 00:22:03,840 Speaker 1: is coming in at three point five four million deaths, 335 00:22:03,920 --> 00:22:06,439 Speaker 1: and that is six point four eight percent of all 336 00:22:06,560 --> 00:22:12,400 Speaker 1: of the deaths. So health issues here, major health issues 337 00:22:12,480 --> 00:22:15,199 Speaker 1: with our bodies and how they function. Yeah, and we 338 00:22:15,240 --> 00:22:18,040 Speaker 1: have to note those top three causes of death or 339 00:22:18,119 --> 00:22:24,120 Speaker 1: umbrella terms. Cardiovascular disease encompasses several different conditions. Not all 340 00:22:24,240 --> 00:22:26,879 Speaker 1: cancers are created equally, of course, and so on and 341 00:22:26,920 --> 00:22:32,200 Speaker 1: so on, and equitable access to medical care would vastly 342 00:22:32,640 --> 00:22:37,359 Speaker 1: reduce these numbers, as would preventative measures like tighter pollution 343 00:22:37,400 --> 00:22:42,360 Speaker 1: controls and and and the like. When we look at 344 00:22:42,520 --> 00:22:47,320 Speaker 1: shelter and clothing, we know that, you know, one man's 345 00:22:47,480 --> 00:22:51,720 Speaker 1: one man's shack is another man's castle. However you wanna, 346 00:22:51,960 --> 00:22:56,360 Speaker 1: you want to trot out that old cliche, there's clearly 347 00:22:56,480 --> 00:23:00,320 Speaker 1: enough h there's clearly enough around given that given that 348 00:23:00,359 --> 00:23:03,080 Speaker 1: shelter can be built out of so many things. There's 349 00:23:03,119 --> 00:23:08,359 Speaker 1: clearly enough enough there to create housing for people. I 350 00:23:08,400 --> 00:23:13,040 Speaker 1: mean in a lot of developed countries, even there's still 351 00:23:13,040 --> 00:23:16,040 Speaker 1: a huge homeless problem, and there are a lot of 352 00:23:16,080 --> 00:23:20,840 Speaker 1: empty buildings, but the homeless population is not allowed to 353 00:23:20,880 --> 00:23:25,200 Speaker 1: take shelter in there because of course concerns for crime. Right. Yeah, 354 00:23:25,240 --> 00:23:27,399 Speaker 1: I was going to say, when you when you're speaking 355 00:23:27,440 --> 00:23:29,800 Speaker 1: about shelter, it can be defined. It really is anything 356 00:23:29,840 --> 00:23:33,280 Speaker 1: that's going to protect a person from the elements as 357 00:23:33,320 --> 00:23:38,800 Speaker 1: well as impending danger from some kind of outside force. Right, 358 00:23:40,280 --> 00:23:44,520 Speaker 1: And we've had a high look at the numbers. Then, right, 359 00:23:44,560 --> 00:23:47,080 Speaker 1: we've covered some of the basics. These numbers are not perfect, 360 00:23:47,160 --> 00:23:51,399 Speaker 1: but we see some commonalities. We see that outside of water, 361 00:23:52,200 --> 00:23:55,359 Speaker 1: outside of clean drinking water, which is a huge necessity, 362 00:23:57,680 --> 00:24:02,360 Speaker 1: the trend seems to indicate that there, uh there, there 363 00:24:02,480 --> 00:24:06,119 Speaker 1: is potential for people not to go hungry, there's potential 364 00:24:06,200 --> 00:24:09,119 Speaker 1: for people not to be homeless, right, to maybe even 365 00:24:09,160 --> 00:24:13,720 Speaker 1: collectively have a better quality of life. So with that, 366 00:24:14,440 --> 00:24:19,040 Speaker 1: let's get to the question is there enough for everyone? 367 00:24:19,600 --> 00:24:27,040 Speaker 1: Here's where it gets crazy. The answer is actually yes. 368 00:24:27,960 --> 00:24:31,760 Speaker 1: And this this should not necessarily make anybody happy. This 369 00:24:31,840 --> 00:24:34,840 Speaker 1: should be troubling that the answer is yes. It should 370 00:24:34,880 --> 00:24:39,400 Speaker 1: be very troubling because yeah, because that answer is yes, 371 00:24:39,720 --> 00:24:42,400 Speaker 1: then our next media question is, well, what gives why 372 00:24:42,480 --> 00:24:46,840 Speaker 1: isn't this happening. Let's look at food. So you've heard 373 00:24:46,880 --> 00:24:50,159 Speaker 1: stuff about food scarcy shout out to people like Norman 374 00:24:50,240 --> 00:24:53,600 Speaker 1: Borlog and the Green Revolution. The fact of the matter 375 00:24:53,680 --> 00:24:57,600 Speaker 1: is that right now the world already produces enough to eat. 376 00:24:58,520 --> 00:25:02,280 Speaker 1: We actually produce a surpl us. This world creates more 377 00:25:02,320 --> 00:25:07,280 Speaker 1: than one point five times enough food to feed literally everyone. 378 00:25:07,680 --> 00:25:11,560 Speaker 1: That's enough to feed ten billion people, and ten billion 379 00:25:11,600 --> 00:25:15,840 Speaker 1: people just for a bookmark is where experts expect the 380 00:25:15,880 --> 00:25:20,919 Speaker 1: population to peak around. So not that not that far away. 381 00:25:21,040 --> 00:25:24,879 Speaker 1: If you're listening to this podcast, the odds are in 382 00:25:24,920 --> 00:25:28,680 Speaker 1: your favor of being alive when they're ten ten billion 383 00:25:28,720 --> 00:25:31,680 Speaker 1: people around, or when they're at ten Who knows, we'll 384 00:25:31,800 --> 00:25:34,000 Speaker 1: roll the dice. We're never gonna make it that far. 385 00:25:35,440 --> 00:25:40,679 Speaker 1: So there's a problem though, because that food, when we 386 00:25:40,720 --> 00:25:44,000 Speaker 1: say just food in general, it's an umbrella term. And 387 00:25:44,160 --> 00:25:47,560 Speaker 1: as we as we had discussed earlier that that term 388 00:25:47,640 --> 00:25:51,719 Speaker 1: encompasses a lot of grain, the staple of the global diet, 389 00:25:52,080 --> 00:25:57,000 Speaker 1: and the bulk of the grain produced by agribusiness, bulk 390 00:25:57,040 --> 00:26:01,959 Speaker 1: of industrial who produced grain goes to feeding livestock and 391 00:26:02,040 --> 00:26:06,480 Speaker 1: confined feed lots and goes to biofuels rather than going 392 00:26:07,520 --> 00:26:14,439 Speaker 1: uh to the one billion starving or food insecure people 393 00:26:14,520 --> 00:26:17,719 Speaker 1: on the planet. So again, it's not that we can't 394 00:26:17,800 --> 00:26:22,600 Speaker 1: feed everyone, it's more that we can't feed everyone the 395 00:26:22,840 --> 00:26:28,160 Speaker 1: kind of food everyone wants and well, and we also 396 00:26:29,520 --> 00:26:33,520 Speaker 1: destroy a lot of those grains that are created in 397 00:26:33,640 --> 00:26:38,040 Speaker 1: order to control the price of said grains, which means, 398 00:26:38,080 --> 00:26:42,440 Speaker 1: like it if you could just decide instead of destroying 399 00:26:42,480 --> 00:26:45,639 Speaker 1: it or throwing it away or you know, getting rid 400 00:26:45,680 --> 00:26:47,280 Speaker 1: of it in that way, and you just used it 401 00:26:47,320 --> 00:26:51,480 Speaker 1: to feed people for no cost. Well, when it's oh god, 402 00:26:51,920 --> 00:26:54,119 Speaker 1: we're gonna get this later. When I say no cost, 403 00:26:54,200 --> 00:26:56,439 Speaker 1: I just mean you're not actually selling it or anything. 404 00:26:56,440 --> 00:26:59,240 Speaker 1: You're literally donating it. But in order then to get 405 00:26:59,600 --> 00:27:02,480 Speaker 1: that rains to the places to the needy people that 406 00:27:02,520 --> 00:27:06,639 Speaker 1: would would want it, then it costs a lot of money, 407 00:27:06,960 --> 00:27:10,480 Speaker 1: right right, and shout out to a previous recent episode 408 00:27:10,560 --> 00:27:13,719 Speaker 1: on farm subsidies. It is true that a lot of 409 00:27:13,760 --> 00:27:19,040 Speaker 1: governments pay farmers to not grow food, even when you know, 410 00:27:19,160 --> 00:27:22,080 Speaker 1: for their tons of concerns listen to that episode for 411 00:27:22,119 --> 00:27:26,040 Speaker 1: more information. But think about it this way. Let's take 412 00:27:26,080 --> 00:27:31,200 Speaker 1: it to an individual level. If you knew with certitude 413 00:27:31,840 --> 00:27:35,120 Speaker 1: that none of those one billion people would ever need 414 00:27:35,200 --> 00:27:39,840 Speaker 1: to starve again, but it meant that you and everyone 415 00:27:39,880 --> 00:27:42,960 Speaker 1: else you knew would have to change your diet. You 416 00:27:42,960 --> 00:27:47,960 Speaker 1: could realistically maybe eat meat once a month or once 417 00:27:48,000 --> 00:27:51,560 Speaker 1: a year or never again. Would you be able to 418 00:27:51,600 --> 00:27:55,320 Speaker 1: make that trade off? The problem there is that if 419 00:27:55,320 --> 00:27:59,520 Speaker 1: we're being realistic, we would we would not have a 420 00:27:59,560 --> 00:28:02,120 Speaker 1: way to know everyone else was playing by the rules. 421 00:28:02,480 --> 00:28:07,360 Speaker 1: Can you mention the the black meat market? H Man, Yeah, 422 00:28:07,440 --> 00:28:10,840 Speaker 1: I've seen there. There are things about that in sci fi. 423 00:28:10,880 --> 00:28:14,840 Speaker 1: You know, when like when lab grown protein or lab 424 00:28:14,840 --> 00:28:18,800 Speaker 1: grown meat becomes the normal, then how much will people 425 00:28:18,880 --> 00:28:22,879 Speaker 1: pay for a real steak? And then the concentric circle 426 00:28:23,840 --> 00:28:26,960 Speaker 1: around the black meat market and the red meat market 427 00:28:27,080 --> 00:28:31,800 Speaker 1: become troubling? Right right? For many of us, this already 428 00:28:31,840 --> 00:28:35,480 Speaker 1: sounds like a losing proposition, and it's hard to fault 429 00:28:35,520 --> 00:28:38,720 Speaker 1: people for that. It's something called the tragedy of the commons, 430 00:28:38,720 --> 00:28:42,640 Speaker 1: which we mentioned before in this show. The tragedy of 431 00:28:42,680 --> 00:28:46,920 Speaker 1: the commons essentially is this, it's the idea that there 432 00:28:47,120 --> 00:28:51,000 Speaker 1: is something a public resource that everybody uses. Like if 433 00:28:51,040 --> 00:28:56,360 Speaker 1: we didn't have agribusiness, and you just foraged from everybody 434 00:28:56,400 --> 00:28:59,160 Speaker 1: in the village foraged from the same field or whatever, 435 00:28:59,560 --> 00:29:03,680 Speaker 1: and just grew naturally, but you had to take steps 436 00:29:03,760 --> 00:29:06,720 Speaker 1: to make sure that that food grew next year. But 437 00:29:06,760 --> 00:29:08,640 Speaker 1: why would you. It's not yours. It's just a place 438 00:29:08,640 --> 00:29:11,600 Speaker 1: you go to and grab food, right, and then everybody 439 00:29:11,640 --> 00:29:13,880 Speaker 1: grabs food and then it's gone, and then you just 440 00:29:14,800 --> 00:29:19,680 Speaker 1: you go through this increasing um, this increasing crescendo of 441 00:29:19,760 --> 00:29:22,160 Speaker 1: passing the blame, you know what I mean, Like I 442 00:29:22,320 --> 00:29:25,000 Speaker 1: just a what I wanted. It's the problems, never me, 443 00:29:25,160 --> 00:29:29,880 Speaker 1: it's all all these other schmucks. So it's understandable that 444 00:29:30,000 --> 00:29:34,600 Speaker 1: this would look like, uh, an unnecessary cost for us 445 00:29:34,640 --> 00:29:37,080 Speaker 1: to put on ourselves. Why should I have to punish 446 00:29:37,200 --> 00:29:42,400 Speaker 1: myself to help a billion people that I will never meet, right? 447 00:29:42,680 --> 00:29:44,920 Speaker 1: And why should I have to punish myself or hold 448 00:29:44,920 --> 00:29:48,600 Speaker 1: myself to standards that I cannot prove other people are meeting. 449 00:29:48,800 --> 00:29:52,160 Speaker 1: You know? So if we look at UH, this is 450 00:29:52,200 --> 00:29:57,200 Speaker 1: by the way, this is not taking in medicine. We're 451 00:29:57,240 --> 00:30:02,040 Speaker 1: just we're putting that this side because the medical care 452 00:30:02,120 --> 00:30:05,680 Speaker 1: stuff like water is almost its own episode. Yeah, and 453 00:30:05,720 --> 00:30:09,840 Speaker 1: again bringing in costs, the time it takes to train 454 00:30:10,080 --> 00:30:15,640 Speaker 1: people and medications that would be affordable to save lives. Alright, 455 00:30:15,680 --> 00:30:21,280 Speaker 1: So next question, So we can do this stuff technically potentially, 456 00:30:21,720 --> 00:30:26,600 Speaker 1: we're not. So why not? Why are we not giving 457 00:30:26,800 --> 00:30:31,400 Speaker 1: every other human being what they need to survive? Essentially, 458 00:30:31,720 --> 00:30:36,000 Speaker 1: it's because doing so, even if everybody wanted to, doing 459 00:30:36,080 --> 00:30:40,440 Speaker 1: so would necessitate a massive transfer of resources and wealth, 460 00:30:40,880 --> 00:30:44,640 Speaker 1: something on something that like, on the level that it is, 461 00:30:44,800 --> 00:30:50,120 Speaker 1: never occurred in human history. It boggles the mind. And 462 00:30:50,200 --> 00:30:53,480 Speaker 1: part of it is because of we're talking about inequality 463 00:30:53,640 --> 00:30:56,360 Speaker 1: up there with mortality. That's the other elephant in the room. 464 00:30:56,440 --> 00:30:59,840 Speaker 1: And when we talk about inequality, we often tend to 465 00:31:00,080 --> 00:31:03,800 Speaker 1: think in these uh, these extremes, you know, because extremes 466 00:31:04,120 --> 00:31:08,840 Speaker 1: are easy cognitive shortcuts. We think of the billionaires, for example, 467 00:31:08,920 --> 00:31:12,320 Speaker 1: on one end of a scale and the hopelessly deprived 468 00:31:12,360 --> 00:31:17,120 Speaker 1: on the other end of the curve. But honestly, we 469 00:31:17,240 --> 00:31:21,120 Speaker 1: have to give ourselves perspective. If you own a device 470 00:31:21,480 --> 00:31:24,120 Speaker 1: that allows you to listen to a podcast, for example, 471 00:31:24,400 --> 00:31:28,000 Speaker 1: then you are globally speaking, much more likely to be 472 00:31:28,080 --> 00:31:31,480 Speaker 1: one of those has rather than one of those have 473 00:31:31,760 --> 00:31:36,320 Speaker 1: not a lot of people considered poor in a developed country, 474 00:31:36,400 --> 00:31:39,800 Speaker 1: for instance, may still have a better quality of life 475 00:31:39,840 --> 00:31:43,440 Speaker 1: overall than a relatively well off person in the least 476 00:31:43,480 --> 00:31:46,960 Speaker 1: developed country. You know what I mean. Well, then the 477 00:31:47,080 --> 00:31:51,760 Speaker 1: question becomes, what do we do about that again without 478 00:31:51,800 --> 00:31:56,240 Speaker 1: having you know, even if everybody's on board except for 479 00:31:56,440 --> 00:32:00,400 Speaker 1: the trillionaires, the billionaires, Like, how do you get those people, 480 00:32:01,920 --> 00:32:05,360 Speaker 1: those corporations to decide that it's a better thing for 481 00:32:05,400 --> 00:32:10,680 Speaker 1: everyone if we raise all ships. Right? That leads us 482 00:32:10,720 --> 00:32:14,240 Speaker 1: to another question. You know, what's the solution? Can technology 483 00:32:14,560 --> 00:32:18,760 Speaker 1: save us? Something will tackle after a word from our sponsor, 484 00:32:26,400 --> 00:32:29,240 Speaker 1: and we're back. All right, here's one for the budding 485 00:32:29,280 --> 00:32:32,840 Speaker 1: technocrats in the audience, the people who are very forward 486 00:32:32,880 --> 00:32:36,000 Speaker 1: to the future. Right, another another question after an ad break, 487 00:32:36,760 --> 00:32:44,800 Speaker 1: Can technology save us? The answer is yes? Maybe, let's 488 00:32:44,840 --> 00:32:50,280 Speaker 1: say the answer is yes, but probably not. Yeah. See, 489 00:32:50,360 --> 00:32:53,640 Speaker 1: for most of human history, we just didn't have the 490 00:32:53,760 --> 00:32:58,120 Speaker 1: organization necessary to handle the logistics involved. You might have 491 00:32:58,200 --> 00:33:00,560 Speaker 1: people in one part of the world who had surplus 492 00:33:00,640 --> 00:33:04,400 Speaker 1: of grain because the weather was favorable, and people in 493 00:33:04,440 --> 00:33:07,400 Speaker 1: a different region, you know, maybe they were combating droughts 494 00:33:07,480 --> 00:33:10,960 Speaker 1: or floods and as a result, their harvest didn't come 495 00:33:10,960 --> 00:33:14,240 Speaker 1: through and they starved. And let's say that the people 496 00:33:14,600 --> 00:33:18,080 Speaker 1: with the surplus of grain heard about this distant land 497 00:33:18,360 --> 00:33:22,600 Speaker 1: that needed help. Even if the people with that surplus 498 00:33:22,720 --> 00:33:26,560 Speaker 1: wanted to feed their fellow humans, even if they tried 499 00:33:26,680 --> 00:33:29,760 Speaker 1: very hard, for most of human history, they just wouldn't 500 00:33:29,760 --> 00:33:32,440 Speaker 1: have the means to get the food or medicine or 501 00:33:32,480 --> 00:33:36,720 Speaker 1: resources to those folks in time to make a difference. Now, 502 00:33:37,120 --> 00:33:41,080 Speaker 1: for the first time ever, that has changed. We can 503 00:33:41,200 --> 00:33:49,600 Speaker 1: ship almost anything almost anywhere. But it costs money, and 504 00:33:49,880 --> 00:33:53,680 Speaker 1: it costs money because of fuel, because of the existing 505 00:33:53,720 --> 00:33:59,239 Speaker 1: technology that can travel. It costs money because you have 506 00:33:59,320 --> 00:34:04,040 Speaker 1: to have uh the logistics in place to figure out 507 00:34:04,080 --> 00:34:07,240 Speaker 1: what is going where. And that's you know, a bunch 508 00:34:07,240 --> 00:34:11,480 Speaker 1: of people employed a lot of times huge facilities and 509 00:34:11,520 --> 00:34:15,120 Speaker 1: all that stuff happen. All money is is a representation 510 00:34:15,239 --> 00:34:18,600 Speaker 1: of labor over time. Right. So so we're we would 511 00:34:18,600 --> 00:34:24,440 Speaker 1: have to to ship stuff, we essentially have to give people, 512 00:34:25,480 --> 00:34:29,120 Speaker 1: uh these placeholders for time that was spent earlier, right, 513 00:34:29,200 --> 00:34:31,239 Speaker 1: and we do that in the form of currency. So 514 00:34:31,280 --> 00:34:34,120 Speaker 1: we have to we have to help these people justify 515 00:34:34,400 --> 00:34:41,160 Speaker 1: their labor their time, right, and that that is a huge, huge, hurdle, 516 00:34:41,400 --> 00:34:45,800 Speaker 1: But if there was some other thing. I'm not saying 517 00:34:45,840 --> 00:34:48,319 Speaker 1: that we have an answer, and I'm not not even 518 00:34:48,360 --> 00:34:50,960 Speaker 1: saying there should be some other thing. But if if 519 00:34:51,040 --> 00:34:56,200 Speaker 1: there was quote unquote no cost, then we could literally 520 00:34:56,480 --> 00:35:01,120 Speaker 1: feed every single hungry person on the planet. We're not, Yeah, 521 00:35:01,400 --> 00:35:04,759 Speaker 1: So so what can we do? Can emerging technology and 522 00:35:05,000 --> 00:35:07,480 Speaker 1: energy improvements and a lot of these things that are 523 00:35:07,480 --> 00:35:09,719 Speaker 1: out there that are happening, we know are coming. It's 524 00:35:09,760 --> 00:35:12,399 Speaker 1: just when will they get here? Will those things move 525 00:35:12,480 --> 00:35:16,040 Speaker 1: the needle enough to help everyone's ship rise a little bit? 526 00:35:16,920 --> 00:35:19,680 Speaker 1: Because you know, there really is interesting stuff out there happening. 527 00:35:20,000 --> 00:35:22,200 Speaker 1: And one of the big things would be if we 528 00:35:22,239 --> 00:35:27,120 Speaker 1: could because it would change everything if we could get 529 00:35:27,160 --> 00:35:33,080 Speaker 1: more efficient and larger amounts of power of energy, because 530 00:35:33,120 --> 00:35:37,400 Speaker 1: that would reduce the costs of things like shipping, um, 531 00:35:37,440 --> 00:35:39,840 Speaker 1: they would reduce the cost of things like packaging and 532 00:35:39,840 --> 00:35:41,959 Speaker 1: in all of these other things we would need. So 533 00:35:42,360 --> 00:35:44,640 Speaker 1: we were just looking at a couple of different emerging 534 00:35:44,680 --> 00:35:46,680 Speaker 1: technologies and we won't spend too much time on this. 535 00:35:47,320 --> 00:35:52,160 Speaker 1: UM twenty nineteen, according to a lot of the the 536 00:35:52,680 --> 00:35:57,160 Speaker 1: news that has been coming out about energy improvements, was 537 00:35:57,200 --> 00:36:01,359 Speaker 1: a year that wasn't too exciting about brand new developments, 538 00:36:01,960 --> 00:36:06,080 Speaker 1: but there was really cool stuff in there happening that's 539 00:36:06,120 --> 00:36:08,680 Speaker 1: more of a minor improvement that you can kind of 540 00:36:08,680 --> 00:36:10,880 Speaker 1: see the tail for right. You can see kind of 541 00:36:10,920 --> 00:36:14,200 Speaker 1: where it's headed. That we found something called floating solar, 542 00:36:14,760 --> 00:36:17,640 Speaker 1: which is really interesting to me and I hope you 543 00:36:17,680 --> 00:36:21,320 Speaker 1: find it to be fascinating to uh. The idea is 544 00:36:21,360 --> 00:36:24,440 Speaker 1: taking a solar array that you've probably seen pictures of 545 00:36:24,480 --> 00:36:27,760 Speaker 1: somewhere online that generally it's in a desert or somewhere 546 00:36:28,600 --> 00:36:32,080 Speaker 1: or a more arid climate where you've just got solar 547 00:36:32,120 --> 00:36:36,839 Speaker 1: panels in a huge circle or a different arrangement that's 548 00:36:36,920 --> 00:36:39,040 Speaker 1: just out there aiming at the sun at all times, 549 00:36:39,040 --> 00:36:42,560 Speaker 1: trying to generate electricity. Well, floating solar uses a body 550 00:36:42,600 --> 00:36:46,640 Speaker 1: of water that that isn't usually used for a specific 551 00:36:46,680 --> 00:36:50,880 Speaker 1: human purpose. So imagine a hydroelectric dam's reservoir, So like 552 00:36:50,920 --> 00:36:54,200 Speaker 1: the water that's above a hydroelectric dam that then that 553 00:36:54,239 --> 00:36:57,440 Speaker 1: water flows down through the damn system and generates electricity 554 00:36:57,440 --> 00:37:01,479 Speaker 1: through turbines. This floating solar array would sit on top 555 00:37:01,520 --> 00:37:03,799 Speaker 1: of that reservoir and it would look kind of like 556 00:37:03,800 --> 00:37:05,759 Speaker 1: the other solar rays you've seen before. It's just they're 557 00:37:05,800 --> 00:37:08,239 Speaker 1: floating on the surface of the water that isn't going 558 00:37:08,280 --> 00:37:12,239 Speaker 1: to be used anyway, the surface isn't um then you 559 00:37:12,239 --> 00:37:15,560 Speaker 1: can generate a bunch of power there. And the cool 560 00:37:15,600 --> 00:37:19,160 Speaker 1: thing about this is that because in this case, at least, 561 00:37:19,440 --> 00:37:23,400 Speaker 1: if it's really close in proximity to a power generation 562 00:37:23,600 --> 00:37:27,080 Speaker 1: plant already with that hydroelectric dam, it's really easy to 563 00:37:27,120 --> 00:37:30,120 Speaker 1: transfer the power generated on that floating array to the 564 00:37:30,160 --> 00:37:34,000 Speaker 1: grid itself, which, as we're gonna keep talking about here, 565 00:37:34,200 --> 00:37:37,400 Speaker 1: that becomes one of the major problems with new energy 566 00:37:37,440 --> 00:37:41,200 Speaker 1: technologies out there that might give us a bit of 567 00:37:41,960 --> 00:37:45,439 Speaker 1: a step up when it comes to helping everyone. So 568 00:37:46,040 --> 00:37:49,759 Speaker 1: another one, another technology that you can think about is 569 00:37:50,960 --> 00:37:55,560 Speaker 1: offshore wind farms. So wind farms that are you know, 570 00:37:55,719 --> 00:38:00,440 Speaker 1: relatively far out into the ocean or offshore and the 571 00:38:00,840 --> 00:38:05,799 Speaker 1: wind out there can generate energy really effectively. The problem is, 572 00:38:05,920 --> 00:38:09,040 Speaker 1: if you're far enough away, it becomes extremely difficult to 573 00:38:09,080 --> 00:38:12,400 Speaker 1: get that power generated because it's so far away from 574 00:38:12,440 --> 00:38:15,120 Speaker 1: the grid to the grid. So um, there are new 575 00:38:15,120 --> 00:38:17,719 Speaker 1: technologies coming out about the types of cables and how 576 00:38:17,760 --> 00:38:21,239 Speaker 1: those cables would function to actually bring more power to 577 00:38:21,440 --> 00:38:24,879 Speaker 1: the global grid. Um that seems like a cool thing 578 00:38:25,280 --> 00:38:28,600 Speaker 1: there's new nuclear technologies that are emerging, like we talked 579 00:38:28,600 --> 00:38:32,919 Speaker 1: about with Chris Cogswell. There there's stuff in there about 580 00:38:32,960 --> 00:38:35,839 Speaker 1: molten salt reactors which seem to be a little bit 581 00:38:35,880 --> 00:38:39,840 Speaker 1: safer than the fission reactors that we you know, that 582 00:38:39,920 --> 00:38:44,160 Speaker 1: are so common right now on the planet. But there's 583 00:38:44,200 --> 00:38:47,000 Speaker 1: also that concept of fusion that we talked at length 584 00:38:47,040 --> 00:38:52,960 Speaker 1: with Chris about that really does seem to be happening. Yeah, weird. Yeah, 585 00:38:53,080 --> 00:38:55,839 Speaker 1: I was so skeptical and we were initially talking about it, 586 00:38:55,960 --> 00:39:01,799 Speaker 1: but since then, like smaller fusion and reactors are a 587 00:39:01,840 --> 00:39:05,200 Speaker 1: real thing that seemed to be happening. So that could 588 00:39:05,239 --> 00:39:07,960 Speaker 1: really change the game as far as being able to 589 00:39:08,160 --> 00:39:12,440 Speaker 1: get UM either to produce the food that is needed 590 00:39:12,480 --> 00:39:18,200 Speaker 1: and to clean the water efficiently UM and put power 591 00:39:18,239 --> 00:39:21,239 Speaker 1: plants in places that we normally wouldn't even consider doing 592 00:39:21,239 --> 00:39:25,200 Speaker 1: it if you're a large corporation. Yeah, and now all 593 00:39:25,239 --> 00:39:28,200 Speaker 1: of the problem is all those technologies that we've named 594 00:39:28,440 --> 00:39:33,680 Speaker 1: have some major drawbacks. Major drawbacks they have, you know, 595 00:39:33,719 --> 00:39:38,040 Speaker 1: including stuff like, uh, the overhead or the initial costs, 596 00:39:38,719 --> 00:39:44,239 Speaker 1: safety or environmental concerns, and then problems of scale. Yeah, 597 00:39:44,280 --> 00:39:46,239 Speaker 1: oh yeah, I mean none of that, none of these 598 00:39:46,280 --> 00:39:48,719 Speaker 1: things we're talking about are going to change the game 599 00:39:48,920 --> 00:39:52,680 Speaker 1: really in the way we're imagining here. But except for fusion, 600 00:39:52,760 --> 00:39:57,480 Speaker 1: fusion could they could? I think fusion could. Yeah, I 601 00:39:57,480 --> 00:40:00,359 Speaker 1: I would love for it to be. I. I would 602 00:40:00,440 --> 00:40:02,640 Speaker 1: love for that to be the case, like for for 603 00:40:02,680 --> 00:40:05,960 Speaker 1: any of those things we just named UH solar or 604 00:40:06,080 --> 00:40:10,760 Speaker 1: hydroelectric or fusion. To make it off of the drawing 605 00:40:10,880 --> 00:40:13,520 Speaker 1: boarder off of the to move from the column of 606 00:40:13,560 --> 00:40:19,160 Speaker 1: potential solutions to practical or implemented solutions. We're not there yet. 607 00:40:19,600 --> 00:40:21,080 Speaker 1: We're not there yet. And then how on earth do 608 00:40:21,080 --> 00:40:23,200 Speaker 1: you bring the cost down to something like fusion enough 609 00:40:23,239 --> 00:40:27,520 Speaker 1: to make it extremely helpful? There's there's another. Whenever we 610 00:40:27,560 --> 00:40:31,640 Speaker 1: talk about technology and it's possible role in improving the 611 00:40:31,680 --> 00:40:34,080 Speaker 1: lives of the of the people who are members of 612 00:40:34,080 --> 00:40:36,960 Speaker 1: the species, one big thing must be addressed, and that 613 00:40:37,120 --> 00:40:40,520 Speaker 1: is the concept of what is often called AI or 614 00:40:40,600 --> 00:40:45,799 Speaker 1: artificial intelligence or you know, increasingly academics prefer the term 615 00:40:45,840 --> 00:40:50,520 Speaker 1: machine consciousness because they say, you know, a consciousness is 616 00:40:50,560 --> 00:40:55,640 Speaker 1: a consciousness. How is a machine's consciousness any different theoretically 617 00:40:55,800 --> 00:41:00,680 Speaker 1: from UH, meatheads consciousness? You know, what makes an artificial 618 00:41:00,719 --> 00:41:05,680 Speaker 1: and whatnot? Right, it's the meat. It's the meat that's 619 00:41:05,719 --> 00:41:09,360 Speaker 1: gonna be. That's gonna be our advertisement for premium organic 620 00:41:09,440 --> 00:41:13,040 Speaker 1: brains in the in the black meat market. It's the meat. 621 00:41:15,280 --> 00:41:17,600 Speaker 1: I wish you guys could see the expression man, it was. 622 00:41:17,920 --> 00:41:23,200 Speaker 1: It's perfect. I nominate us spokesman. All right. So, uh 623 00:41:23,360 --> 00:41:27,160 Speaker 1: so before we talk about AI, let me let me 624 00:41:27,200 --> 00:41:30,759 Speaker 1: pitch you a little bit on why why people are 625 00:41:30,800 --> 00:41:36,640 Speaker 1: excited about having a non human consciousness or collective handle 626 00:41:36,840 --> 00:41:40,880 Speaker 1: these logistical problems, these distribution problems, which is really that 627 00:41:41,120 --> 00:41:45,439 Speaker 1: that's what a lot of this is. Well, first, no 628 00:41:45,440 --> 00:41:50,160 Speaker 1: matter what our our lovely little primate brains can make 629 00:41:50,280 --> 00:41:57,560 Speaker 1: technology wise, outside of AI, we may not have the 630 00:41:57,640 --> 00:42:04,200 Speaker 1: tools mentally who take advantage of this. Our brains, you see, 631 00:42:04,320 --> 00:42:07,880 Speaker 1: are one of the most important pieces of early human 632 00:42:07,920 --> 00:42:11,960 Speaker 1: technology how we got where we are. Our brains, make 633 00:42:12,040 --> 00:42:16,200 Speaker 1: no mistake. Are there are the reason for all the 634 00:42:16,200 --> 00:42:19,200 Speaker 1: good stuff the human species has done. They're also the 635 00:42:19,239 --> 00:42:22,960 Speaker 1: reason for all the bad stuff we've done. Uh It's 636 00:42:23,080 --> 00:42:29,000 Speaker 1: it's kind of like Promethean fire, right. So the problem 637 00:42:29,120 --> 00:42:33,480 Speaker 1: is that our brains, like any other computer have have, 638 00:42:34,200 --> 00:42:37,240 Speaker 1: you know, they've they've got code, and they've got limits 639 00:42:37,400 --> 00:42:42,840 Speaker 1: to their capabilities. Our brains naturally bulk at the idea 640 00:42:43,040 --> 00:42:48,080 Speaker 1: of deliberately lowering our individual standards to help some abstract 641 00:42:48,080 --> 00:42:52,440 Speaker 1: collective thousands of other brain billions of other brain computers 642 00:42:52,440 --> 00:42:56,360 Speaker 1: that we will never ever, ever ever meet. Sorry, the 643 00:42:56,440 --> 00:42:59,640 Speaker 1: odds against you meeting all the people on the planet 644 00:42:59,719 --> 00:43:03,920 Speaker 1: right now are are astronomical because so many you're dying 645 00:43:04,239 --> 00:43:07,319 Speaker 1: every minute, and so many more are being born. You're 646 00:43:07,360 --> 00:43:09,760 Speaker 1: just you just don't have time for it in your schedule. 647 00:43:11,640 --> 00:43:17,600 Speaker 1: And even if you're lowering your individual standard of living 648 00:43:18,680 --> 00:43:22,200 Speaker 1: to to something that's survivable, something it's not that bad, 649 00:43:22,239 --> 00:43:25,480 Speaker 1: something it's not terrible, but just isn't as awesome as 650 00:43:25,520 --> 00:43:30,520 Speaker 1: you would want, you'll you'll never really see the impact 651 00:43:30,560 --> 00:43:32,839 Speaker 1: of that on the planet, you know, not not in 652 00:43:32,840 --> 00:43:38,680 Speaker 1: your lifetime. And our brains already knew this way before 653 00:43:38,800 --> 00:43:42,600 Speaker 1: we did, which brings us to one of the chilling 654 00:43:42,920 --> 00:43:46,719 Speaker 1: theories that that is. I don't know about you, Matt, 655 00:43:46,760 --> 00:43:48,600 Speaker 1: but it's sort of changed the way I look at 656 00:43:48,600 --> 00:43:54,480 Speaker 1: the world. It's something called Dunbar's number, yeah, with which 657 00:43:54,640 --> 00:43:57,799 Speaker 1: we've mentioned before. It's named after a British anthropologist named 658 00:43:57,880 --> 00:44:03,840 Speaker 1: Robin Dunbar. Long story short, Dunbar is convinced through his 659 00:44:03,920 --> 00:44:08,800 Speaker 1: research that there is a ratio a correlation between brain 660 00:44:08,920 --> 00:44:13,800 Speaker 1: size in primates and the amount of people like given 661 00:44:13,840 --> 00:44:19,880 Speaker 1: primate can consider other people or other primates, living, thinking, 662 00:44:20,080 --> 00:44:25,719 Speaker 1: feeling beings with their own motivations, their own goals. That 663 00:44:25,840 --> 00:44:29,600 Speaker 1: number for human beings, according to Dunbar, is a hundred 664 00:44:29,600 --> 00:44:35,400 Speaker 1: and fifty people ballpark. That means then that once you 665 00:44:35,400 --> 00:44:39,960 Speaker 1: get to like one and fifty two people, two of 666 00:44:40,000 --> 00:44:42,879 Speaker 1: those are in people. They're they're just sort of functions 667 00:44:42,960 --> 00:44:49,520 Speaker 1: they happen, you know what I mean? Bots? Yeah, right there, 668 00:44:49,560 --> 00:44:53,680 Speaker 1: there um their verbs, their mechanisms, their processes that you 669 00:44:53,719 --> 00:44:57,520 Speaker 1: see it, you see moving around you, but you don't 670 00:44:57,560 --> 00:45:00,719 Speaker 1: think of them as people. I'm imagining it as social 671 00:45:00,800 --> 00:45:06,000 Speaker 1: media thing. Let's just say, let's use Facebook. You've got 672 00:45:06,000 --> 00:45:09,239 Speaker 1: a hundred and fifty Facebook friends, and you know all 673 00:45:09,280 --> 00:45:12,640 Speaker 1: of them, right, you really truly know all those people, 674 00:45:12,840 --> 00:45:15,160 Speaker 1: And then that that number starts to grow and grow 675 00:45:15,160 --> 00:45:17,360 Speaker 1: and grow and grow and grow, and now it's just 676 00:45:17,560 --> 00:45:20,520 Speaker 1: kind of a picture of a representation of a human 677 00:45:20,840 --> 00:45:23,680 Speaker 1: with each of those profiles. Yeah, and you do that 678 00:45:23,760 --> 00:45:27,120 Speaker 1: obnoxious thing people do on social media where you where 679 00:45:27,120 --> 00:45:29,359 Speaker 1: you don't really care at someone's birthday, but you get 680 00:45:29,400 --> 00:45:33,000 Speaker 1: a notification, so your papa hb d over there, because 681 00:45:33,040 --> 00:45:35,239 Speaker 1: God knows you don't have time to write all to 682 00:45:35,800 --> 00:45:41,880 Speaker 1: both of those words out right. Uh So the problem 683 00:45:41,920 --> 00:45:47,080 Speaker 1: then is if Dunbar's theory is correct, the problem is 684 00:45:47,239 --> 00:45:51,480 Speaker 1: less one of material goods or resource availability, and it 685 00:45:51,640 --> 00:45:57,680 Speaker 1: is more one of our inherent neurological wiring, our hardwired 686 00:45:58,040 --> 00:46:05,000 Speaker 1: inability to think that humanity as we understand it exists, 687 00:46:05,160 --> 00:46:08,000 Speaker 1: really exists past a certain threshold of about a d 688 00:46:08,120 --> 00:46:12,560 Speaker 1: and fifty people. But in your experiment here, Ben, we're 689 00:46:12,600 --> 00:46:18,680 Speaker 1: talking about allowing some extremely sophisticated computer system to decide 690 00:46:18,719 --> 00:46:22,240 Speaker 1: who's gonna get fed when and with what. Wait, wait, 691 00:46:22,280 --> 00:46:25,799 Speaker 1: I wanna. I just want to hit this though. From 692 00:46:25,800 --> 00:46:28,919 Speaker 1: what I was saying, if Dumbar's theory is true, then 693 00:46:28,960 --> 00:46:34,440 Speaker 1: that means all other things aside, including the most popular 694 00:46:34,520 --> 00:46:38,359 Speaker 1: ideology of this age or the most popular religion, which 695 00:46:38,360 --> 00:46:42,799 Speaker 1: would be economy, money, currency, things like that. Uh. That 696 00:46:42,840 --> 00:46:48,120 Speaker 1: means that we are the biggest obstacle to our own success. 697 00:46:48,800 --> 00:46:51,920 Speaker 1: The problem. The problem isn't how much food is being grown. 698 00:46:52,400 --> 00:46:55,879 Speaker 1: The problem is us. You know what I mean? And yes, 699 00:46:56,040 --> 00:46:59,560 Speaker 1: I see where you're going where it gets a perfect setup. 700 00:46:59,800 --> 00:47:06,200 Speaker 1: Do we then issue our individual and um species wide responsibility? 701 00:47:06,280 --> 00:47:09,560 Speaker 1: Do we do we build a better brain and just 702 00:47:09,760 --> 00:47:13,080 Speaker 1: trust it some kind of sky net, some kind of 703 00:47:13,440 --> 00:47:17,399 Speaker 1: uh technological god made of ones and zeros that will 704 00:47:17,440 --> 00:47:21,480 Speaker 1: tell us where the cantelope is supposed to go every harvest. 705 00:47:23,200 --> 00:47:26,520 Speaker 1: For many people, that is a troubling thing because then 706 00:47:26,560 --> 00:47:32,880 Speaker 1: we're coast. We're consigning our entire species existence to be 707 00:47:33,239 --> 00:47:37,680 Speaker 1: the the children of something else that we've created, you 708 00:47:37,719 --> 00:47:40,960 Speaker 1: know what I mean. And then we have to also 709 00:47:41,080 --> 00:47:47,520 Speaker 1: say we would blindly trust this thing, and we would 710 00:47:47,840 --> 00:47:50,880 Speaker 1: no matter like, no matter how what kind of system 711 00:47:50,920 --> 00:47:54,759 Speaker 1: we put in place to watch the watchmen as it were, uh, 712 00:47:55,360 --> 00:47:59,400 Speaker 1: we would have we would have very little recourse. You know, 713 00:47:59,480 --> 00:48:03,439 Speaker 1: once once you hop on that wagon, once you'll hop 714 00:48:03,480 --> 00:48:05,920 Speaker 1: on that train, there's not really an easy way to 715 00:48:05,960 --> 00:48:07,960 Speaker 1: get off because of the power you would have to 716 00:48:08,040 --> 00:48:11,360 Speaker 1: give that sort of mind. Yeah, well I'm on board. 717 00:48:11,800 --> 00:48:14,960 Speaker 1: You're on board. Yeah, let's call it Manna. It'll be 718 00:48:15,000 --> 00:48:19,240 Speaker 1: the Manna system on the Gaya grid and h it'll 719 00:48:19,360 --> 00:48:24,759 Speaker 1: it'll just send all the food and water resources necessary 720 00:48:24,880 --> 00:48:27,640 Speaker 1: to the entire globe that needs them, no matter where 721 00:48:27,640 --> 00:48:30,480 Speaker 1: they're produced, and at what time it will calculate like 722 00:48:30,560 --> 00:48:34,680 Speaker 1: when when foods will spoil and how far they can 723 00:48:34,680 --> 00:48:39,640 Speaker 1: actually travel. Oh, it's going to be incredible NEGA algorithmic 724 00:48:40,360 --> 00:48:43,960 Speaker 1: network assignment. I don't know. That's pretty good. No, I 725 00:48:44,000 --> 00:48:49,239 Speaker 1: mean it's good for the nineteen sixties short story. But yeah, 726 00:48:49,360 --> 00:48:53,040 Speaker 1: there maybe an automation in there or or uh, what's 727 00:48:53,040 --> 00:48:59,600 Speaker 1: another really good A and not an android um assistant? 728 00:48:59,680 --> 00:49:06,839 Speaker 1: No oh yeah, yeah yeah, uh, massive artificial neural algorithm. 729 00:49:07,640 --> 00:49:10,200 Speaker 1: That's pretty good. I don't know. I was just thinking 730 00:49:10,200 --> 00:49:14,799 Speaker 1: more the symbolism of the just you know, drops from 731 00:49:14,840 --> 00:49:19,880 Speaker 1: the drones. The name clear about that. I am on board. 732 00:49:20,040 --> 00:49:21,840 Speaker 1: I think MANNA is the way to go because we 733 00:49:21,880 --> 00:49:25,480 Speaker 1: want something that sounds non threatening, right, But of course, 734 00:49:25,880 --> 00:49:28,480 Speaker 1: you know, you can see how people wouldn't trust that 735 00:49:28,560 --> 00:49:32,239 Speaker 1: because for many people, the existence of something like that 736 00:49:32,840 --> 00:49:38,880 Speaker 1: would not be a positive addition to their immediate lives. Sure, 737 00:49:39,680 --> 00:49:43,800 Speaker 1: it would probably mean that within five or six generations 738 00:49:44,200 --> 00:49:48,600 Speaker 1: your descendants would have would live in a world that 739 00:49:48,719 --> 00:49:52,440 Speaker 1: was environmentally better off, right, And it means that overall, 740 00:49:52,480 --> 00:49:57,120 Speaker 1: within several generations, people in general would be okay. But 741 00:49:57,320 --> 00:50:01,560 Speaker 1: for you, buddy, as soon when the manner. Start it's falling. Uh, 742 00:50:01,600 --> 00:50:05,600 Speaker 1: that's gonna mean that your quality of life takes a 743 00:50:05,760 --> 00:50:10,120 Speaker 1: definite and observable hit, and you're just gonna have to trust, like, oh, 744 00:50:10,120 --> 00:50:13,440 Speaker 1: there's something bigger than me and bigger than manna, and 745 00:50:13,480 --> 00:50:20,320 Speaker 1: it is this, this tremendous, tremendously controversial fad called human 746 00:50:20,560 --> 00:50:23,000 Speaker 1: human existence. And you know what we'd end up doing 747 00:50:23,080 --> 00:50:26,360 Speaker 1: if we did actually get that system in place, we 748 00:50:26,400 --> 00:50:30,319 Speaker 1: would increase that world population clock we it would go 749 00:50:30,440 --> 00:50:33,759 Speaker 1: up well a lot faster because that's would happen at 750 00:50:33,800 --> 00:50:36,880 Speaker 1: a much smaller rate if everybody had what they needed. 751 00:50:37,440 --> 00:50:42,160 Speaker 1: And then over population actually truly for real becomes a problem. Yeah, 752 00:50:42,239 --> 00:50:47,080 Speaker 1: and all the Malthusians are able to resurrect their old beliefs. 753 00:50:47,440 --> 00:50:52,879 Speaker 1: And then furthermore, of course, you know, we're ascribing benevolence 754 00:50:52,920 --> 00:50:55,080 Speaker 1: to something like this, some kind of creation like this. 755 00:50:55,160 --> 00:50:57,840 Speaker 1: But the big question is, Uh, if it's solving the 756 00:50:57,920 --> 00:51:04,520 Speaker 1: problem the most logical way, then the easiest, most efficient 757 00:51:04,680 --> 00:51:10,480 Speaker 1: answer to making life better for the existing population would 758 00:51:10,480 --> 00:51:14,840 Speaker 1: be to reduce the size of the existing population, and 759 00:51:14,880 --> 00:51:18,080 Speaker 1: then the survivors would not have to take a huge 760 00:51:18,120 --> 00:51:22,000 Speaker 1: hit on their quality of life, and the survivors would 761 00:51:22,600 --> 00:51:26,120 Speaker 1: actually tend to have a better quality of life depending 762 00:51:26,160 --> 00:51:30,080 Speaker 1: on the size of the population you left over if 763 00:51:30,080 --> 00:51:32,920 Speaker 1: you were a manna. Oh, it's just you know the 764 00:51:32,960 --> 00:51:38,319 Speaker 1: old artificial intelligence culling that we've been waiting for. Yeah, right, 765 00:51:38,400 --> 00:51:42,800 Speaker 1: I checked the world clock every day. Well that numbers 766 00:51:42,840 --> 00:51:45,680 Speaker 1: a lot lower than it should be. Yeah. Yeah, you know, 767 00:51:45,840 --> 00:51:49,439 Speaker 1: I have these, uh, these feverish moments where I think, 768 00:51:49,480 --> 00:51:52,480 Speaker 1: one day I'll check the world clock and I'll find 769 00:51:52,480 --> 00:51:56,560 Speaker 1: out that something terrible has happened because it starts going down. Yeah. 770 00:51:57,960 --> 00:51:59,839 Speaker 1: But of course I wouldn't really work because it's based 771 00:51:59,880 --> 00:52:04,439 Speaker 1: on these estimates that are based on studies that were 772 00:52:04,440 --> 00:52:07,239 Speaker 1: conducted years in the past. Have you seen I think 773 00:52:07,239 --> 00:52:09,440 Speaker 1: we've talked about it before. You've seen that movie that 774 00:52:09,520 --> 00:52:12,799 Speaker 1: was available on Netflix a little while ago called Mother, Yes, yes, 775 00:52:12,840 --> 00:52:16,200 Speaker 1: I have yeah or I Am Mother? Know what what 776 00:52:16,280 --> 00:52:20,200 Speaker 1: was it called? It was one about them, not not 777 00:52:20,280 --> 00:52:23,920 Speaker 1: the Aronofsky one, right, but it's the one about the 778 00:52:24,280 --> 00:52:27,960 Speaker 1: It's one about the machine consciousness that is raising a 779 00:52:28,080 --> 00:52:33,399 Speaker 1: daughter who is human. Yes, oh, man, you could it's 780 00:52:33,400 --> 00:52:35,719 Speaker 1: a man at work. There, it is man at work. 781 00:52:35,800 --> 00:52:39,680 Speaker 1: It very much is. Well, there we have it. It 782 00:52:39,680 --> 00:52:44,719 Speaker 1: turns out there is enough food and potential shelter for 783 00:52:44,760 --> 00:52:47,640 Speaker 1: every single human being living on this planet. Water is 784 00:52:47,640 --> 00:52:51,680 Speaker 1: a different thing. We still see people dying from starvation, 785 00:52:51,800 --> 00:52:55,080 Speaker 1: poor diet, disease, lack of shelter, and more and more 786 00:52:55,239 --> 00:53:00,360 Speaker 1: and more. Why because there's several problems. First, the insting 787 00:53:00,480 --> 00:53:03,800 Speaker 1: systems that we came up with over thousands and thousands 788 00:53:03,800 --> 00:53:07,600 Speaker 1: of years, they were just not built to accommodate a 789 00:53:07,719 --> 00:53:11,319 Speaker 1: population of this size. You know what I mean, like 790 00:53:11,719 --> 00:53:17,440 Speaker 1: a it's it's kind of like a like a lemonade 791 00:53:17,520 --> 00:53:21,719 Speaker 1: stand is not meant to be an industrial lemonade factory. 792 00:53:21,880 --> 00:53:24,440 Speaker 1: As a matter of fact, most kids who start eliminade 793 00:53:24,480 --> 00:53:28,239 Speaker 1: stand never think this should be something. This should be 794 00:53:28,239 --> 00:53:30,959 Speaker 1: an operation where I can feed, you know, or give 795 00:53:31,400 --> 00:53:33,600 Speaker 1: ten times the amount of people the lemonade that I 796 00:53:33,680 --> 00:53:37,439 Speaker 1: was making for maybe twenty people a day. That's that's 797 00:53:37,480 --> 00:53:40,360 Speaker 1: just the facts. Now we can we can make better 798 00:53:40,400 --> 00:53:44,319 Speaker 1: systems maybe. But second, related to this problem, we have 799 00:53:44,600 --> 00:53:48,480 Speaker 1: just now begun. This is an exciting time to be alive. 800 00:53:48,719 --> 00:53:51,720 Speaker 1: We have just now begun to create global supply systems 801 00:53:52,160 --> 00:53:57,319 Speaker 1: capable of addressing the labyrinthine logistics needed to feed and 802 00:53:57,400 --> 00:54:01,759 Speaker 1: house everyone and that's not even counting how to keep 803 00:54:01,800 --> 00:54:04,200 Speaker 1: those people from getting sick. That's just making sure they 804 00:54:04,200 --> 00:54:06,920 Speaker 1: have somewhere to sleep and enough to eat. And third, 805 00:54:07,080 --> 00:54:11,760 Speaker 1: forget all the fancy agricultural improvements, all the hypothetical stuff 806 00:54:12,000 --> 00:54:16,880 Speaker 1: that we're talking about today. Our brains themselves are old technology. 807 00:54:17,000 --> 00:54:21,000 Speaker 1: Our brains are arguably obsolete, and we still don't fully 808 00:54:21,080 --> 00:54:25,480 Speaker 1: understand them. We literally do not have the physiological capacity 809 00:54:25,680 --> 00:54:29,239 Speaker 1: to understand the size of the human population, nor do 810 00:54:29,320 --> 00:54:32,160 Speaker 1: we have the ability to think of this population in 811 00:54:32,280 --> 00:54:37,440 Speaker 1: terms of individuals. We we have a limit hardwired to 812 00:54:37,440 --> 00:54:39,800 Speaker 1: our empathy and cognition. So after about a hundred and 813 00:54:39,840 --> 00:54:43,960 Speaker 1: fifty or so people, you, I mean everyone you know, 814 00:54:44,560 --> 00:54:49,760 Speaker 1: cannot conceive of others as actual, feeling, thinking human beings. 815 00:54:50,120 --> 00:54:56,520 Speaker 1: Do you feel pity for a maple tree growing somewhere 816 00:54:56,760 --> 00:55:01,439 Speaker 1: in Missouri and a specific coordinate? No? Why would you? 817 00:55:01,080 --> 00:55:03,200 Speaker 1: You know the idea of a maple tree, but you 818 00:55:03,239 --> 00:55:07,680 Speaker 1: don't know that one? Yeah? And why Like, so, how 819 00:55:07,840 --> 00:55:12,120 Speaker 1: is a human being by that maple tree any different 820 00:55:12,800 --> 00:55:14,799 Speaker 1: from the tree? You know it's not a human being, 821 00:55:14,800 --> 00:55:18,520 Speaker 1: do you. Yeah? I don't know about the stone bar guy. 822 00:55:19,520 --> 00:55:22,359 Speaker 1: Now you think he's poisoning the well a bit. It 823 00:55:22,400 --> 00:55:26,480 Speaker 1: feels like a very pessimistic view of our brains and 824 00:55:26,520 --> 00:55:30,279 Speaker 1: our capacity for empathy. Technically still a theory, I know, 825 00:55:30,360 --> 00:55:32,480 Speaker 1: I think, I think inside of us there is more 826 00:55:32,520 --> 00:55:38,320 Speaker 1: capacity for but I understand the concept. Well, well, okay, 827 00:55:38,360 --> 00:55:42,359 Speaker 1: think about this then, in more concrete terms and more 828 00:55:42,440 --> 00:55:48,080 Speaker 1: micro cosmic terms. Happiness, as we understand it, it's kind 829 00:55:48,080 --> 00:55:51,200 Speaker 1: of relative. You might ask yourself, how can a person 830 00:55:51,280 --> 00:55:53,640 Speaker 1: making twelve dollars an hour be happier than so we're 831 00:55:53,640 --> 00:55:56,359 Speaker 1: making fifty dollars an hour, for example. Well, first off, 832 00:55:56,360 --> 00:55:59,040 Speaker 1: happiness is not entirely based on finance. We understand that. 833 00:56:00,160 --> 00:56:02,520 Speaker 1: But if we look at that example, we find that 834 00:56:02,719 --> 00:56:05,359 Speaker 1: if someone is making twelve dollars an hour, they'll tend 835 00:56:05,440 --> 00:56:08,120 Speaker 1: to be happier with their income so long as they 836 00:56:08,120 --> 00:56:11,359 Speaker 1: know all their colleagues are making less, all the other 837 00:56:11,360 --> 00:56:13,680 Speaker 1: people work with them, even if it's just a little less. 838 00:56:14,320 --> 00:56:16,560 Speaker 1: If you make twelve dollars an hour and you work 839 00:56:17,000 --> 00:56:19,879 Speaker 1: somewhere where you know for a fact everybody else makes 840 00:56:19,880 --> 00:56:22,920 Speaker 1: eleven dollars and fifty cents an hour, just that fifty 841 00:56:22,920 --> 00:56:27,279 Speaker 1: cents will tend to make you happier. However, let's go 842 00:56:27,360 --> 00:56:31,080 Speaker 1: to our person making fifty bucks an hour. They'll be irritated, 843 00:56:31,520 --> 00:56:34,600 Speaker 1: they'll be p oed, they'll be unhappy if they make 844 00:56:34,680 --> 00:56:38,399 Speaker 1: fifty dollars an hour and they know their colleagues are 845 00:56:38,480 --> 00:56:41,280 Speaker 1: making just a little more, you know, it's like fifty 846 00:56:41,280 --> 00:56:44,240 Speaker 1: five dollars an hour, they'll be they'll be in sense 847 00:56:44,280 --> 00:56:48,600 Speaker 1: there's no justice in this bleak and uncaring, godless universe. 848 00:56:49,120 --> 00:56:51,680 Speaker 1: It feels very relative, but I guess it is. That's 849 00:56:51,680 --> 00:56:53,480 Speaker 1: a kind of a point here, and then they and 850 00:56:53,560 --> 00:56:57,520 Speaker 1: they will completely not they will tend to not really 851 00:56:57,560 --> 00:57:00,480 Speaker 1: identify with the person making twelve dollars an hour in 852 00:57:00,520 --> 00:57:03,640 Speaker 1: the office across town. So it seems that a fine, 853 00:57:04,360 --> 00:57:08,560 Speaker 1: a refined appreciation of inequality, then is inherent to our 854 00:57:09,040 --> 00:57:12,920 Speaker 1: our existence and probably back in our just out of 855 00:57:12,920 --> 00:57:15,719 Speaker 1: the trees running around the savannah days, that was very 856 00:57:15,760 --> 00:57:20,520 Speaker 1: beneficial to our species. So for some reason, we humans 857 00:57:20,600 --> 00:57:23,720 Speaker 1: tend to think of success less in terms of having 858 00:57:23,840 --> 00:57:28,720 Speaker 1: quote unquote enough, and more in terms of having more 859 00:57:28,760 --> 00:57:31,960 Speaker 1: than other people, or like, I am successful because other 860 00:57:32,040 --> 00:57:34,000 Speaker 1: people have less than me, or if we want to 861 00:57:34,000 --> 00:57:36,520 Speaker 1: do it a half full way, I am successful because 862 00:57:36,680 --> 00:57:39,000 Speaker 1: it could be worse. I am better off than I 863 00:57:39,040 --> 00:57:42,720 Speaker 1: could be, and shifting away from this concept, make no mistake, 864 00:57:42,760 --> 00:57:46,480 Speaker 1: would be a fundamental change. Were we do this is 865 00:57:46,480 --> 00:57:49,720 Speaker 1: the question bothers me, man, Were we to overcome this hurdle, 866 00:57:50,080 --> 00:57:52,480 Speaker 1: would we still be human beings? Would we still be 867 00:57:52,560 --> 00:57:55,600 Speaker 1: the same species if we were no longer jealous of 868 00:57:55,600 --> 00:58:00,000 Speaker 1: each other's finances? If finances yet? But you know more? 869 00:58:00,120 --> 00:58:08,040 Speaker 1: Or yeah? Interesting? Yeah? I I think so if we 870 00:58:08,040 --> 00:58:13,440 Speaker 1: were capable of if we were capable of describing success 871 00:58:13,440 --> 00:58:17,760 Speaker 1: and happiness in just terms of how am I doing? 872 00:58:18,480 --> 00:58:22,400 Speaker 1: Am I okay? Do I have enough? Instead of how 873 00:58:22,440 --> 00:58:25,720 Speaker 1: am I doing? Am I doing better than other people? 874 00:58:26,360 --> 00:58:32,600 Speaker 1: I don't know? Yeah, I don't know. I am I 875 00:58:32,640 --> 00:58:35,720 Speaker 1: think that exists in a lot of people right now, 876 00:58:35,880 --> 00:58:39,720 Speaker 1: especially people who don't have much. I believe so. Um, 877 00:58:39,760 --> 00:58:41,880 Speaker 1: I think that. I think what we're talking about here 878 00:58:41,960 --> 00:58:45,959 Speaker 1: is really describing. It's more describing the person that's making 879 00:58:46,000 --> 00:58:52,200 Speaker 1: fifty hour um, who's already experienced that a little bit 880 00:58:52,480 --> 00:58:56,840 Speaker 1: of knowing what having a lot is. That to me, 881 00:58:56,880 --> 00:58:58,600 Speaker 1: that's what I'm here. But I don't know if that's true. 882 00:58:58,720 --> 00:59:01,720 Speaker 1: That's interesting because we didn't talk about that yet. Maybe 883 00:59:01,720 --> 00:59:04,720 Speaker 1: it's a story for another day. But studies also show 884 00:59:04,800 --> 00:59:08,080 Speaker 1: that people who have want to keep it. In the 885 00:59:08,080 --> 00:59:11,400 Speaker 1: realm of finance, people who have lower incomes or lower 886 00:59:11,400 --> 00:59:17,160 Speaker 1: on the socioeconomic scale tend to contribute to charities. Uh, 887 00:59:17,400 --> 00:59:20,240 Speaker 1: they tend to contribute a larger proportion of their income. 888 00:59:20,920 --> 00:59:23,880 Speaker 1: Then the quote unquote has Yeah, we did the whole 889 00:59:23,920 --> 00:59:26,360 Speaker 1: episode on how wealth makes you a bad person, which 890 00:59:26,400 --> 00:59:29,320 Speaker 1: I still went back and re listened to it, and 891 00:59:29,360 --> 00:59:31,920 Speaker 1: I was hoping things would have changed. They haven't. They have. 892 00:59:32,040 --> 00:59:35,480 Speaker 1: I think we nailed it. It's the conclusion of that 893 00:59:35,560 --> 00:59:38,960 Speaker 1: one spoiler which still holds up and is worth listening to. Uh, 894 00:59:39,320 --> 00:59:46,960 Speaker 1: is that are like personal opinions aside because science doesn't 895 00:59:46,960 --> 00:59:52,720 Speaker 1: care about those. Multiple studies prove that people tend to 896 00:59:53,920 --> 00:59:59,200 Speaker 1: behave quote unquote worse the higher they go up a 897 00:59:59,240 --> 01:00:03,320 Speaker 1: certain financial scale. And again we're not saying that automatically 898 01:00:03,360 --> 01:00:06,320 Speaker 1: makes you bad any of that stuff. We're just saying 899 01:00:06,880 --> 01:00:12,640 Speaker 1: multiple studies prove ten people tend to behave in a 900 01:00:12,760 --> 01:00:15,440 Speaker 1: less cool man. There you go. It's a good way 901 01:00:15,480 --> 01:00:20,520 Speaker 1: to put it. Oh my gosh. Okay, So I guess 902 01:00:20,520 --> 01:00:26,280 Speaker 1: the question now is like how like Okay, it's a 903 01:00:26,280 --> 01:00:31,040 Speaker 1: personal question, it's and it's aimed at at you. How 904 01:00:31,120 --> 01:00:35,560 Speaker 1: much would you give up if you if you knew 905 01:00:35,760 --> 01:00:40,320 Speaker 1: that by giving up something of yours, others would be 906 01:00:40,320 --> 01:00:43,320 Speaker 1: better off and would be safe and would survive and 907 01:00:44,200 --> 01:00:47,400 Speaker 1: would have more happiness, how much would you be willing 908 01:00:47,400 --> 01:00:50,680 Speaker 1: to give up? And that's a tough question to answer 909 01:00:50,760 --> 01:00:55,080 Speaker 1: because I think to you know, every single person here 910 01:00:56,120 --> 01:01:01,760 Speaker 1: thinks or knows rather that they have responsibilities in their life. 911 01:01:01,800 --> 01:01:05,440 Speaker 1: They have you know, maybe a family, maybe a friend group, 912 01:01:05,520 --> 01:01:09,120 Speaker 1: or a community that they are supporting, um, that they're 913 01:01:09,160 --> 01:01:11,360 Speaker 1: doing their best to do that, and then imagining giving 914 01:01:11,440 --> 01:01:16,280 Speaker 1: up more um, it's probably a difficult thing to pose 915 01:01:16,360 --> 01:01:19,960 Speaker 1: to somebody to think about, even especially if you, especially 916 01:01:20,000 --> 01:01:23,560 Speaker 1: for instance, you have no way of proving that that 917 01:01:23,600 --> 01:01:27,000 Speaker 1: effort would be reciprocated, which is the case and just 918 01:01:27,040 --> 01:01:30,360 Speaker 1: fundamentally the case. And then furthermore, you know, we're not 919 01:01:30,480 --> 01:01:34,480 Speaker 1: talking about we're not talking about people giving up stuff 920 01:01:34,520 --> 01:01:37,480 Speaker 1: that was just given to them. People have worked hard, 921 01:01:37,640 --> 01:01:40,360 Speaker 1: they have put in blood, sweat, tears and time. You know, 922 01:01:41,240 --> 01:01:43,080 Speaker 1: now we're saying, hey, give it up for someone you 923 01:01:43,080 --> 01:01:48,120 Speaker 1: don't know and then just trust us, says Manna, It'll 924 01:01:48,120 --> 01:01:50,600 Speaker 1: all work out. Or in the case of manna, it 925 01:01:50,640 --> 01:01:53,280 Speaker 1: would just be a mandated thing. But yeah, we want 926 01:01:53,320 --> 01:01:57,400 Speaker 1: to know is some sort of benevolent machine consciousness Our 927 01:01:57,520 --> 01:02:01,880 Speaker 1: only hope can can human get the bands back together 928 01:02:02,280 --> 01:02:06,960 Speaker 1: and U and put out a more successful album in 929 01:02:06,960 --> 01:02:10,560 Speaker 1: this in our long discography of existence. Boy, that was 930 01:02:10,600 --> 01:02:14,160 Speaker 1: a terrible So I don't know. Man, we're working live, 931 01:02:14,560 --> 01:02:17,000 Speaker 1: but but let us know. We want to hear from you. 932 01:02:17,080 --> 01:02:19,200 Speaker 1: As we said at the top of the show, you 933 01:02:19,240 --> 01:02:24,040 Speaker 1: can tell us your opinion on this on Facebook, Instagram, Twitter, 934 01:02:24,160 --> 01:02:28,600 Speaker 1: were conspiracy stuff on Twitter. We love to recommend our 935 01:02:28,760 --> 01:02:34,720 Speaker 1: Facebook community page. Here's where it gets crazy. I am 936 01:02:34,760 --> 01:02:39,400 Speaker 1: going to say again that there is a huge chasm 937 01:02:39,640 --> 01:02:43,480 Speaker 1: between what is possible and what is plausible. So it 938 01:02:43,560 --> 01:02:47,480 Speaker 1: is possible to improve the lives of people on the planet, 939 01:02:47,560 --> 01:02:50,240 Speaker 1: of everyone in the planet, is it plausible? I don't 940 01:02:50,240 --> 01:02:52,680 Speaker 1: think so. I don't think we're there yet. I think 941 01:02:52,760 --> 01:02:56,320 Speaker 1: we will be there, but it's going to take a 942 01:02:56,400 --> 01:02:59,640 Speaker 1: global catastrophe and then that'll get us to that kind 943 01:02:59,640 --> 01:03:02,400 Speaker 1: of stuff our track post scarcity, where there is a 944 01:03:02,480 --> 01:03:04,760 Speaker 1: threat to these species at large, and there kind of 945 01:03:04,840 --> 01:03:09,960 Speaker 1: is one. Guys, it's called global climate change. Oh but 946 01:03:10,040 --> 01:03:12,040 Speaker 1: you want I mean, but you're talking about something more 947 01:03:12,080 --> 01:03:15,600 Speaker 1: Hollywood friendly, Right, I am talking Hollywood friendly. I'm talking 948 01:03:17,000 --> 01:03:19,320 Speaker 1: a little bit of blue beam. But it doesn't necessarily 949 01:03:19,320 --> 01:03:22,800 Speaker 1: mean blue bean. I just mean if there is enough 950 01:03:22,880 --> 01:03:26,240 Speaker 1: of a threat to the species at large, I think 951 01:03:26,760 --> 01:03:31,360 Speaker 1: preserving each and every individual will become paramount, and then 952 01:03:32,200 --> 01:03:35,840 Speaker 1: these kinds of changes will occur, right, because they'll have to, 953 01:03:36,080 --> 01:03:38,480 Speaker 1: and the size of the problem will be smaller too. Yeah, 954 01:03:39,560 --> 01:03:46,200 Speaker 1: So let global pandemic, maybe pandemic occurring right now. Yeah, 955 01:03:46,320 --> 01:03:50,720 Speaker 1: But again to earlier conversation, I feel like the I 956 01:03:50,760 --> 01:03:53,240 Speaker 1: feel like it's a battle of semantics with pandemic, you 957 01:03:53,240 --> 01:03:56,280 Speaker 1: know what I mean, The official definition is not going 958 01:03:56,320 --> 01:04:00,880 Speaker 1: to change the way an infection ravages a body. Maybe maybe, 959 01:04:01,000 --> 01:04:07,760 Speaker 1: I don't know, how about numerous very troubling outbreaks occurring 960 01:04:07,800 --> 01:04:10,960 Speaker 1: across the planet. Yeah, maybe that'll Maybe that'll be what 961 01:04:11,040 --> 01:04:13,600 Speaker 1: it takes. Maybe that'll be the big kickstart we need. 962 01:04:13,800 --> 01:04:19,200 Speaker 1: It'll be zombies, the zombies, I would say. Yeah, a 963 01:04:20,040 --> 01:04:25,040 Speaker 1: huge natural disaster, non terrestrial disaster. Well, Matt, it happened. 964 01:04:25,360 --> 01:04:27,600 Speaker 1: We once again started talking about the end of the 965 01:04:27,640 --> 01:04:33,760 Speaker 1: world and stuff is bleak. Well, hey, here's a question 966 01:04:33,800 --> 01:04:36,280 Speaker 1: that's probably on everybody's mind. Is as we reach the 967 01:04:36,400 --> 01:04:39,919 Speaker 1: end of today's show. Uh, what how can they tell 968 01:04:40,000 --> 01:04:44,920 Speaker 1: us their take on whether there's enough for everyone? If I, 969 01:04:45,120 --> 01:04:47,880 Speaker 1: like I have an opinion about this, for instance, but 970 01:04:48,160 --> 01:04:50,720 Speaker 1: I hate using social media, how do I get in 971 01:04:50,800 --> 01:04:53,600 Speaker 1: contact with you guys? You can call us. Our number 972 01:04:53,720 --> 01:04:58,080 Speaker 1: is one eight three three st d w y t K. 973 01:04:58,880 --> 01:05:00,960 Speaker 1: Give us a call. Tell us what you think you 974 01:05:01,080 --> 01:05:04,160 Speaker 1: might end up on an episode. But one way or another, 975 01:05:04,200 --> 01:05:07,200 Speaker 1: we're going to hear what you were saying, and UH, 976 01:05:07,400 --> 01:05:09,000 Speaker 1: that is either a good thing or a bad thing 977 01:05:09,640 --> 01:05:15,320 Speaker 1: for you. But we're excited to hear your opinions, your jokes, 978 01:05:15,440 --> 01:05:18,960 Speaker 1: your ideas for episodes. Whatever you want to tell us, 979 01:05:19,000 --> 01:05:20,800 Speaker 1: give us a call. You can call in, just like 980 01:05:20,840 --> 01:05:27,040 Speaker 1: this person did last night. Hi. There this Jade from Spokane, Washington. Uh. 981 01:05:27,600 --> 01:05:34,280 Speaker 1: I was just reflecting on your guys recent episode about 982 01:05:34,320 --> 01:05:39,240 Speaker 1: the coronavirus. And I live in Spokane, obviously, and I 983 01:05:39,360 --> 01:05:42,640 Speaker 1: live about a quarter mile away from a hospital where 984 01:05:42,640 --> 01:05:50,560 Speaker 1: they have taken I think five maybe more patients, uh, 985 01:05:50,600 --> 01:05:54,040 Speaker 1: that have been infected with the coronavirus and are holding 986 01:05:54,080 --> 01:05:57,840 Speaker 1: them at that hospital because it's one of ten in 987 01:05:57,880 --> 01:06:03,080 Speaker 1: the US. But ever since that was announced, I have 988 01:06:03,280 --> 01:06:08,800 Speaker 1: seen at least two helicopters a day, come in and out, 989 01:06:09,520 --> 01:06:14,480 Speaker 1: and it'll be at random times at night. And yeah, 990 01:06:14,560 --> 01:06:20,880 Speaker 1: I'm I'm not so sure that's uh, those are legit helicopters. 991 01:06:25,720 --> 01:06:29,960 Speaker 1: I'm not sure what you mean. They're interesting interesting? Yeah, 992 01:06:30,760 --> 01:06:34,040 Speaker 1: who is controleum? Like? What is the company basically and 993 01:06:34,080 --> 01:06:38,720 Speaker 1: what is their purpose? Yeah, it's thank you first off 994 01:06:38,760 --> 01:06:41,600 Speaker 1: for calling in with this on the ground news. We 995 01:06:41,640 --> 01:06:47,600 Speaker 1: need primary sources. As we know our coronavirus episode, we 996 01:06:47,640 --> 01:06:49,840 Speaker 1: went back and forth. We felt it was important to 997 01:06:49,920 --> 01:06:53,880 Speaker 1: make this episode, and we knew that because we were 998 01:06:53,920 --> 01:06:56,800 Speaker 1: in the nascent stages of the development of the infection, 999 01:06:57,200 --> 01:06:59,560 Speaker 1: we would have to come and do an update. So 1000 01:06:59,600 --> 01:07:02,680 Speaker 1: we need your help with this, especially if you have 1001 01:07:02,840 --> 01:07:07,960 Speaker 1: on the ground experience. The sad truth of the matter 1002 01:07:08,040 --> 01:07:10,840 Speaker 1: here in the dangerous truth of the matter, is that 1003 01:07:11,320 --> 01:07:15,200 Speaker 1: given the way the US is currently handled COVID nineteen, 1004 01:07:15,800 --> 01:07:24,120 Speaker 1: there are easily thousands of undiagnosed cases around you know, uh, 1005 01:07:24,280 --> 01:07:28,520 Speaker 1: And I would I would not be surprised at all 1006 01:07:28,680 --> 01:07:33,439 Speaker 1: if the official messaging we're getting does not match the 1007 01:07:33,520 --> 01:07:38,240 Speaker 1: actual activities that governments or states are taking to stave 1008 01:07:38,240 --> 01:07:42,360 Speaker 1: off the infection. Yes, I know, I I do. I 1009 01:07:42,440 --> 01:07:45,240 Speaker 1: agree with that. It is one of those things that 1010 01:07:45,560 --> 01:07:48,880 Speaker 1: is still making me nervous. My news feed is just 1011 01:07:49,080 --> 01:07:56,440 Speaker 1: filled with updates about new clusters of infections and yeah, 1012 01:07:56,680 --> 01:07:59,240 Speaker 1: it's given me nightmares. But thank you for calling in 1013 01:07:59,240 --> 01:08:02,480 Speaker 1: with information from a specific area. Uh. Feel free to 1014 01:08:02,480 --> 01:08:05,320 Speaker 1: call back again with any kind of update you in particular, 1015 01:08:06,200 --> 01:08:09,680 Speaker 1: I believe Jade is what you said, and anyone else 1016 01:08:09,680 --> 01:08:12,000 Speaker 1: please call in, leave a message, and if you don't 1017 01:08:12,000 --> 01:08:14,760 Speaker 1: want to do that, please send us a good old 1018 01:08:14,760 --> 01:08:38,040 Speaker 1: fashioned email. We are conspiracy at i heart radio dot com. 1019 01:08:38,160 --> 01:08:40,240 Speaker 1: Stuff they don't want you to know is a production 1020 01:08:40,280 --> 01:08:43,400 Speaker 1: of I heart Radio. For more podcasts from my heart Radio, 1021 01:08:43,560 --> 01:08:46,360 Speaker 1: visit the i heart Radio app, Apple Podcasts, or wherever 1022 01:08:46,439 --> 01:08:47,759 Speaker 1: you listen to your favorite shows.