1 00:00:09,800 --> 00:00:12,400 Speaker 1: Professor Bill Sullivan. Welcome to the podcast. 2 00:00:13,440 --> 00:00:14,720 Speaker 2: Hi Paul, it's great to be here. 3 00:00:15,160 --> 00:00:17,480 Speaker 3: And I think this is going to be the first 4 00:00:17,560 --> 00:00:20,960 Speaker 3: podcast Bill that my daughter is excited about. 5 00:00:22,520 --> 00:00:26,400 Speaker 1: I haven't that lot. Yes, I have an eighteen. 6 00:00:26,000 --> 00:00:29,480 Speaker 3: Year old daughter who is in her last year of 7 00:00:30,120 --> 00:00:33,080 Speaker 3: high school and is about to go to university. 8 00:00:33,280 --> 00:00:37,440 Speaker 1: And she is obsessed with biology to. 9 00:00:37,400 --> 00:00:41,479 Speaker 3: The point where she did her exams early in year 10 00:00:41,520 --> 00:00:43,520 Speaker 3: eleven rather than year twelve. We've got a slightly different 11 00:00:43,560 --> 00:00:47,400 Speaker 3: system than you guys, and in her last biology class 12 00:00:47,720 --> 00:00:53,400 Speaker 3: she cried, it was that upset. And she's off the 13 00:00:53,520 --> 00:00:57,400 Speaker 3: university to study microbiology. And you have a PhD in 14 00:00:57,760 --> 00:00:59,040 Speaker 3: sale and molecular biology. 15 00:00:59,080 --> 00:00:59,600 Speaker 1: Is that correct? 16 00:01:00,360 --> 00:01:05,160 Speaker 2: That's right, it's in selling molecular biology. But I am 17 00:01:05,200 --> 00:01:10,119 Speaker 2: in a microbiology department, so you know that knowledge from 18 00:01:10,120 --> 00:01:14,039 Speaker 2: my PhD has extended itself into looking into microbiology. And 19 00:01:14,080 --> 00:01:16,959 Speaker 2: it sounds like that's exactly what your daughter is interested in. 20 00:01:17,040 --> 00:01:19,840 Speaker 2: So good luck to her. I can tell her that 21 00:01:19,880 --> 00:01:23,399 Speaker 2: it's been fascinating field for me for decades, and I 22 00:01:23,440 --> 00:01:25,560 Speaker 2: hope she gets as much joy from it as I did. 23 00:01:26,160 --> 00:01:28,720 Speaker 3: And so tell me what do you used to currently teach? 24 00:01:28,760 --> 00:01:30,800 Speaker 3: What sort of classes? Do you teach at the university, 25 00:01:30,800 --> 00:01:31,119 Speaker 3: And I. 26 00:01:32,280 --> 00:01:34,840 Speaker 2: Yeah, I teach a lot of microbiology, so we deal 27 00:01:34,880 --> 00:01:38,679 Speaker 2: with a lot of microbes, everything from viruses to bacteria 28 00:01:38,800 --> 00:01:45,280 Speaker 2: to parasites. And I also teach lectures on the pharmacological 29 00:01:45,319 --> 00:01:49,280 Speaker 2: aspect of that, so how we utilize drugs and develop 30 00:01:49,360 --> 00:01:52,680 Speaker 2: new drugs to combat some of these infections that are 31 00:01:52,720 --> 00:01:54,680 Speaker 2: caused by the various germs we talked. 32 00:01:54,440 --> 00:01:56,640 Speaker 3: About, ah, and it must have been in a very 33 00:01:56,640 --> 00:02:00,520 Speaker 3: exciting time whenever COVID kit might you're to follow, were. 34 00:02:01,160 --> 00:02:03,920 Speaker 2: We were very very busy, not in the sense that 35 00:02:03,920 --> 00:02:05,800 Speaker 2: we were working in the lab because those were shut 36 00:02:05,840 --> 00:02:11,200 Speaker 2: down for some time, but infectious disease, which generally doesn't 37 00:02:11,280 --> 00:02:14,000 Speaker 2: get a lot of attention in a country like the US, 38 00:02:14,000 --> 00:02:18,120 Speaker 2: and I imagine Australia as well, it suddenly was on 39 00:02:18,160 --> 00:02:21,639 Speaker 2: everybody's radar for obvious reasons, and we were fielding all 40 00:02:21,680 --> 00:02:27,640 Speaker 2: sorts of calls and requests for information to help navigate 41 00:02:27,680 --> 00:02:32,480 Speaker 2: people through this terribly uncertain time. So yeah, absolutely absolutely. 42 00:02:33,240 --> 00:02:35,720 Speaker 3: And you so, you know, you did a lot of 43 00:02:35,840 --> 00:02:40,560 Speaker 3: science outreach, and so what inspired you to move out 44 00:02:40,600 --> 00:02:44,520 Speaker 3: of the lab and move out of the classroom to 45 00:02:44,560 --> 00:02:48,760 Speaker 3: start talking more to the general public about science and 46 00:02:49,280 --> 00:02:50,200 Speaker 3: science communication. 47 00:02:51,480 --> 00:02:54,080 Speaker 2: Well that's what got me interested in science when I 48 00:02:54,240 --> 00:02:58,120 Speaker 2: was a young kid and adolescent. Were these science communicators 49 00:02:58,240 --> 00:03:00,960 Speaker 2: like you know Carl Sagan for example. He's the one 50 00:03:01,000 --> 00:03:04,800 Speaker 2: that my generation is familiar with, and he was just 51 00:03:04,960 --> 00:03:11,480 Speaker 2: a brilliant communicator explaining principles that are quite complicated in 52 00:03:11,680 --> 00:03:15,600 Speaker 2: very poetic and understandable terms. And then Bill Nye came 53 00:03:15,639 --> 00:03:18,440 Speaker 2: along and some others as well that were kind of 54 00:03:19,440 --> 00:03:23,320 Speaker 2: inspirations to step out of the Ivory tower once in 55 00:03:23,360 --> 00:03:26,840 Speaker 2: a while and tell people what you're working on. Especially 56 00:03:26,840 --> 00:03:31,600 Speaker 2: when you're dealing with public health items like infectious disease, 57 00:03:31,680 --> 00:03:35,600 Speaker 2: that information has to be communicated to the public so 58 00:03:35,640 --> 00:03:39,800 Speaker 2: that we can ensure our society doesn't implode and have 59 00:03:40,320 --> 00:03:46,320 Speaker 2: dramatically bad consequences from some pandemic. So it also feeds 60 00:03:46,320 --> 00:03:50,520 Speaker 2: back when the work we do. We have to remind 61 00:03:51,160 --> 00:03:55,320 Speaker 2: the public and the government officials that funding basic science 62 00:03:55,320 --> 00:03:59,280 Speaker 2: research is critically important. It is fueling the pipeline for 63 00:03:59,360 --> 00:04:01,600 Speaker 2: the discovery that are going to be coming down the 64 00:04:01,680 --> 00:04:04,840 Speaker 2: road to cure all sorts of diseases or at least 65 00:04:04,840 --> 00:04:07,520 Speaker 2: get some better treatments for them. And if we don't 66 00:04:07,520 --> 00:04:11,120 Speaker 2: have that revenue invested in the process, which, believe it 67 00:04:11,240 --> 00:04:13,920 Speaker 2: or not, is really difficult to do. There's not a 68 00:04:13,920 --> 00:04:18,800 Speaker 2: lot of money being invested in diseases and disorders and 69 00:04:18,880 --> 00:04:23,719 Speaker 2: research for it. So that component also plays into my 70 00:04:23,839 --> 00:04:28,000 Speaker 2: motivation for getting out there and explaining why it is 71 00:04:28,040 --> 00:04:32,760 Speaker 2: so critically important to engage in scientific research. 72 00:04:33,720 --> 00:04:36,320 Speaker 1: Now, let's talk about human behavior. 73 00:04:37,040 --> 00:04:38,640 Speaker 2: So my favorite subject. 74 00:04:38,760 --> 00:04:42,400 Speaker 3: The psychologists would tell you that they've got human behavior neiled. 75 00:04:42,760 --> 00:04:45,560 Speaker 3: But you've written a book called Police to Meet Me, 76 00:04:46,080 --> 00:04:49,800 Speaker 3: and you talk about a lot of hidden forces that 77 00:04:50,279 --> 00:04:54,080 Speaker 3: kind of underpin what we do, what we feel, how 78 00:04:54,160 --> 00:04:59,560 Speaker 3: we believe, and what are some of those hidden forces 79 00:04:59,600 --> 00:05:02,279 Speaker 3: that a sheep who we are with our us really 80 00:05:02,360 --> 00:05:03,000 Speaker 3: knowing about it. 81 00:05:04,279 --> 00:05:07,800 Speaker 2: Yeah, So that actually stems from the research that's been 82 00:05:07,839 --> 00:05:11,440 Speaker 2: ongoing in my lab for years now. We study this 83 00:05:11,600 --> 00:05:14,240 Speaker 2: parasite called toxoplasma gandhia. 84 00:05:14,440 --> 00:05:17,320 Speaker 1: Oh that's an interesting parasite. 85 00:05:17,480 --> 00:05:18,560 Speaker 2: Ah, you've heard of it? 86 00:05:18,640 --> 00:05:20,640 Speaker 1: Yes, And can you tell our listeners about this? 87 00:05:21,440 --> 00:05:23,800 Speaker 2: And I'm not trying to evade your question. I will 88 00:05:23,800 --> 00:05:27,320 Speaker 2: certainly get to the hidden forces, but to better understand them. 89 00:05:27,839 --> 00:05:31,039 Speaker 2: It was this toxoplasma parasite and our research on it 90 00:05:31,400 --> 00:05:35,000 Speaker 2: that ultimately led to the ideas behind the book. So 91 00:05:35,640 --> 00:05:38,040 Speaker 2: why in the world would I mentioned this crazy parasite 92 00:05:38,080 --> 00:05:43,479 Speaker 2: in the context of human behavior. Several reasons. Toxoplasma is 93 00:05:43,520 --> 00:05:48,440 Speaker 2: an extremely common parasite of all animals, including human beings, 94 00:05:48,839 --> 00:05:52,719 Speaker 2: and it's actually present in the brains of one third 95 00:05:52,800 --> 00:05:56,920 Speaker 2: of the human population, which is just staggering number of people, 96 00:05:57,000 --> 00:06:00,760 Speaker 2: right like three billion people if those ass you know 97 00:06:00,800 --> 00:06:03,080 Speaker 2: are accurate, And it's all around the world. You know, 98 00:06:03,120 --> 00:06:05,320 Speaker 2: there's not like any corner of the globe where this 99 00:06:05,360 --> 00:06:10,840 Speaker 2: parasite hasn't gotten into And the reason why is because 100 00:06:10,960 --> 00:06:15,320 Speaker 2: it is transmitted through multiple different mechanisms. The first one 101 00:06:15,680 --> 00:06:19,440 Speaker 2: is the cat. So any kind of cat, when it's 102 00:06:19,480 --> 00:06:25,240 Speaker 2: infected with this toxoplasma parasite, will shed the parasite eggs 103 00:06:25,320 --> 00:06:29,320 Speaker 2: into the litter box or the garden, the sandbox, anywhere 104 00:06:29,360 --> 00:06:33,400 Speaker 2: in the environment. And these parasite eggs are stable for 105 00:06:33,600 --> 00:06:36,160 Speaker 2: years out in the environment, and they can be picked 106 00:06:36,200 --> 00:06:38,640 Speaker 2: up by other animals and infect them, and they can 107 00:06:38,680 --> 00:06:42,800 Speaker 2: certainly be picked up by humans and infect us. We 108 00:06:42,880 --> 00:06:45,760 Speaker 2: can get the parasite directly from the cat, or we 109 00:06:45,800 --> 00:06:48,919 Speaker 2: can get it from undercooked meats. You know, animals that 110 00:06:49,000 --> 00:06:52,080 Speaker 2: also got infected with the parasite. If we don't cook 111 00:06:52,320 --> 00:06:55,680 Speaker 2: the meat sufficiently, the parasite can infect us that way 112 00:06:55,720 --> 00:06:59,120 Speaker 2: as well. So it's hugely common. But it doesn't cause 113 00:06:59,200 --> 00:07:02,360 Speaker 2: any over disease. You know, you won't feel anything more 114 00:07:02,400 --> 00:07:05,880 Speaker 2: than a mild flu when you become infected with this parasite. 115 00:07:05,920 --> 00:07:08,920 Speaker 2: And that's why for years it was kind of put 116 00:07:08,960 --> 00:07:13,200 Speaker 2: on the back burner. This parasite obviously isn't causing a 117 00:07:13,240 --> 00:07:16,480 Speaker 2: health crisis. Most people aren't even aware that they have it. 118 00:07:17,560 --> 00:07:21,720 Speaker 2: But then in the eighties and nineties, toxoplasma became one 119 00:07:21,720 --> 00:07:25,720 Speaker 2: of the number one killers of AIDS patients because when 120 00:07:25,760 --> 00:07:30,040 Speaker 2: your immune system deteriorates, the parasite then can become a 121 00:07:30,160 --> 00:07:34,720 Speaker 2: lethal infection, which basically told us that this parasite never 122 00:07:34,800 --> 00:07:38,320 Speaker 2: goes away. It infects us and it stays in the body, 123 00:07:38,800 --> 00:07:41,400 Speaker 2: probably for the rest of your life. And it likes 124 00:07:41,400 --> 00:07:44,200 Speaker 2: to hide out in the brain and the heart and 125 00:07:44,280 --> 00:07:47,400 Speaker 2: skelet to muscle tissue. So when you hear that there's 126 00:07:47,440 --> 00:07:50,920 Speaker 2: a parasite hiding out in your brain, it makes you 127 00:07:51,000 --> 00:07:53,760 Speaker 2: wonder what in the world could this thing be doing. 128 00:07:54,280 --> 00:07:56,840 Speaker 2: And that is I'm sorry, Paul, that is a very 129 00:07:56,960 --> 00:08:00,280 Speaker 2: long winded answer to one of the hidden forces that 130 00:08:00,400 --> 00:08:06,120 Speaker 2: might be influencing human behavior. There's very well documented studies 131 00:08:06,120 --> 00:08:09,720 Speaker 2: in mice and rats, as well as some non human 132 00:08:09,760 --> 00:08:13,680 Speaker 2: primates and now even wolves, that when they are infected 133 00:08:13,720 --> 00:08:17,000 Speaker 2: with this parasite, they don't get sick, but the parasite 134 00:08:17,120 --> 00:08:19,360 Speaker 2: hides in their brain for the rest of their lives 135 00:08:19,920 --> 00:08:25,440 Speaker 2: and starts to instigate risk taking behavior in those infected organisms. 136 00:08:25,760 --> 00:08:28,640 Speaker 2: And these are very well documented studies and animals that 137 00:08:28,680 --> 00:08:32,760 Speaker 2: I've found endlessly fascinating. We've conducted some of these behavioral 138 00:08:32,840 --> 00:08:38,040 Speaker 2: essays ourselves, and when we infect mice with this parasite, 139 00:08:39,000 --> 00:08:43,240 Speaker 2: it survives the initial infection just fine. And if you 140 00:08:43,320 --> 00:08:46,360 Speaker 2: look at the mouse, it looks perfectly normal, okay, But 141 00:08:46,400 --> 00:08:50,520 Speaker 2: if you study its behavior, it's very different. It is hypermodal, 142 00:08:50,559 --> 00:08:52,760 Speaker 2: which means it moves around a lot more than usual, 143 00:08:53,200 --> 00:08:55,320 Speaker 2: it takes a lot more risks. And one of the 144 00:08:55,320 --> 00:08:59,240 Speaker 2: most odd ball findings that actually makes evolutionary sense is 145 00:08:59,280 --> 00:09:01,520 Speaker 2: that these mice are no longer afraid of cats. 146 00:09:01,520 --> 00:09:01,840 Speaker 1: Crazy. 147 00:09:01,880 --> 00:09:05,360 Speaker 2: I'm no longer afraid of anything, actually, but when you 148 00:09:05,440 --> 00:09:08,160 Speaker 2: put cats into the picture, you get a very interesting 149 00:09:08,240 --> 00:09:12,559 Speaker 2: and elegant evolutionary story where this parasite has figured out 150 00:09:12,559 --> 00:09:16,520 Speaker 2: a way to kind of re engineer the mammalian brain, 151 00:09:16,559 --> 00:09:19,200 Speaker 2: if you will, in a way that makes it takes 152 00:09:19,280 --> 00:09:22,720 Speaker 2: more risks and it is more likely to be eaten 153 00:09:22,760 --> 00:09:25,680 Speaker 2: by its major predator, and it gets into the cat, 154 00:09:25,720 --> 00:09:28,200 Speaker 2: where it really wants to go, because the cat is 155 00:09:28,200 --> 00:09:31,400 Speaker 2: the only organism on the planet where the parasite can 156 00:09:31,440 --> 00:09:34,840 Speaker 2: complete the sexual stage of its life cycle and be 157 00:09:35,240 --> 00:09:37,520 Speaker 2: spread around in the form of those sturdy eggs that 158 00:09:37,600 --> 00:09:40,439 Speaker 2: I talked about at the beginning of the conversation. 159 00:09:41,120 --> 00:09:41,760 Speaker 1: Wow. 160 00:09:41,800 --> 00:09:46,320 Speaker 3: So I knew that the parasite got into the mice, 161 00:09:46,920 --> 00:09:49,679 Speaker 3: and I knew that it impacted their behavior and reduced 162 00:09:49,679 --> 00:09:52,920 Speaker 3: their fear of cats. But I didn't realize that the 163 00:09:52,960 --> 00:09:56,400 Speaker 3: whole driver was that was completing the sexual cycle. 164 00:09:56,480 --> 00:09:57,800 Speaker 1: How clever is that? 165 00:09:58,720 --> 00:10:03,760 Speaker 2: It isn't that amazing. It's evolution has all kinds of 166 00:10:03,760 --> 00:10:07,840 Speaker 2: time to work with. Okay, we're talking about millions of years, 167 00:10:08,440 --> 00:10:10,800 Speaker 2: So maybe when you consider the fact that it took 168 00:10:10,840 --> 00:10:13,960 Speaker 2: millions of years to hone this behavior, it might not 169 00:10:14,000 --> 00:10:16,600 Speaker 2: look so miraculous. But I have to admit when I 170 00:10:16,640 --> 00:10:19,480 Speaker 2: first learned about it, just like you, I was blown away. 171 00:10:19,520 --> 00:10:23,160 Speaker 2: My mind was blown and it's just really clever on 172 00:10:23,240 --> 00:10:27,520 Speaker 2: the part of this toxoplasma parasite to be able to 173 00:10:27,559 --> 00:10:32,080 Speaker 2: do this. And it raises the next logical question, which 174 00:10:32,760 --> 00:10:37,480 Speaker 2: if three billion people have this parasite in their heads, 175 00:10:38,160 --> 00:10:41,880 Speaker 2: what might be happening to their behavior if anything. And 176 00:10:42,000 --> 00:10:46,360 Speaker 2: those studies are just starting to be done. So we 177 00:10:46,440 --> 00:10:51,600 Speaker 2: didn't even know about this whole mouse behavioral change to 178 00:10:51,600 --> 00:10:54,640 Speaker 2: get into the cat until the late nineties. So we're 179 00:10:54,640 --> 00:10:58,640 Speaker 2: talking about very new science. And of course when you're 180 00:10:58,640 --> 00:11:02,719 Speaker 2: doing studies like this with humans, you can't pull them 181 00:11:02,720 --> 00:11:08,040 Speaker 2: into the lab and infect them with the parasiteans studies, 182 00:11:08,840 --> 00:11:11,440 Speaker 2: right right, throw them in a lion cage and see 183 00:11:11,480 --> 00:11:16,600 Speaker 2: if they're not afraid, right, No, they frown upon that here. 184 00:11:17,080 --> 00:11:20,800 Speaker 1: So in the ethics departments build there, I tell you that. 185 00:11:22,880 --> 00:11:26,840 Speaker 2: But we can do correlation studies. You know, we do 186 00:11:26,880 --> 00:11:29,800 Speaker 2: have blood tests to discern whether people are infected or not, 187 00:11:30,440 --> 00:11:32,480 Speaker 2: and then we can just just you know, look at 188 00:11:32,520 --> 00:11:36,360 Speaker 2: behavioral patterns and see if there's a correlation. Now, I 189 00:11:36,559 --> 00:11:39,679 Speaker 2: probably don't have to tell you that correlation is not causation, 190 00:11:40,280 --> 00:11:42,960 Speaker 2: but it's the best we can do. Since we can't 191 00:11:43,160 --> 00:11:45,400 Speaker 2: throw humans in a lion cage and then see what 192 00:11:45,840 --> 00:11:50,880 Speaker 2: whether they're afraid or not. So these correlation studies have 193 00:11:50,920 --> 00:11:55,720 Speaker 2: been fascinating so far. There's a really strong correlation between 194 00:11:56,280 --> 00:11:59,600 Speaker 2: this what we call latent toxoplasma infection in the brain 195 00:12:00,120 --> 00:12:05,360 Speaker 2: and schizophrenia. So if you are infected with toxoplasma, I 196 00:12:05,400 --> 00:12:10,480 Speaker 2: believe you're almost twice as likely to get schizophrenia as 197 00:12:10,520 --> 00:12:12,959 Speaker 2: a non infected person would be. 198 00:12:14,240 --> 00:12:16,480 Speaker 1: Say significant increased risk ride. 199 00:12:17,000 --> 00:12:20,440 Speaker 2: It's a strong it's a strong correlation, and if memory 200 00:12:20,480 --> 00:12:23,680 Speaker 2: serves correct, it's stronger than any single gene that's ever 201 00:12:23,720 --> 00:12:27,880 Speaker 2: been implicated in schizophrenia. Now that's not to say genetics 202 00:12:27,920 --> 00:12:32,120 Speaker 2: aren't involved or other environmental factors, because there are people 203 00:12:32,200 --> 00:12:36,840 Speaker 2: diagnosed with schizophrenia who don't have a toxoplasma infection. So 204 00:12:36,920 --> 00:12:40,120 Speaker 2: there's obviously more to this story, but that correlation is 205 00:12:40,160 --> 00:12:45,120 Speaker 2: strong and I think warrants further investigation. There's other correlations 206 00:12:45,160 --> 00:12:51,040 Speaker 2: that speak to other neuropsychoses. In people infected with toxoplasma. 207 00:12:51,320 --> 00:12:55,119 Speaker 2: You see an elevated risk for rage disorder, an elevated 208 00:12:55,200 --> 00:12:59,839 Speaker 2: risk for impulsive gambling, other risk taking activities. 209 00:13:00,040 --> 00:13:03,600 Speaker 3: I was going to ask about it, Yeah, yeah, yeah, yeah, 210 00:13:03,760 --> 00:13:05,080 Speaker 3: risk taking behavior, right. 211 00:13:05,360 --> 00:13:09,199 Speaker 2: And as you're surmising, this parallels what we see in rodents, 212 00:13:09,280 --> 00:13:13,800 Speaker 2: you know, higher proclivity to engage in risky behavior, and 213 00:13:13,840 --> 00:13:17,320 Speaker 2: we're seeing parallels to that in people who carry this 214 00:13:17,400 --> 00:13:20,960 Speaker 2: parasite in their brain. There's even one study that showed 215 00:13:21,360 --> 00:13:25,080 Speaker 2: people with toxoplasma in their brain, and you know, most 216 00:13:25,080 --> 00:13:28,520 Speaker 2: people don't even know about that, they're three times more 217 00:13:28,600 --> 00:13:33,160 Speaker 2: likely to be involved in a car wreck, presumably because 218 00:13:33,200 --> 00:13:36,160 Speaker 2: of this parasite in the brain and the increased risk 219 00:13:36,200 --> 00:13:39,480 Speaker 2: taking activity that comes along with it. Now, it's not 220 00:13:39,840 --> 00:13:42,560 Speaker 2: necessarily all bad, and this is where we get into 221 00:13:42,640 --> 00:13:47,840 Speaker 2: some really interesting philosophical discussions because there is one study 222 00:13:47,840 --> 00:13:51,600 Speaker 2: out there that suggests people with this toxoplasma in their 223 00:13:51,640 --> 00:13:57,080 Speaker 2: brain have a higher chance of being a successful entrepreneur. 224 00:13:57,559 --> 00:14:00,600 Speaker 1: Again, maybe because the behavior increase. 225 00:14:01,160 --> 00:14:05,480 Speaker 2: Exactly they're rolling the dice on something that you know 226 00:14:05,840 --> 00:14:09,080 Speaker 2: might pay off, right, So this this is really interesting 227 00:14:09,120 --> 00:14:12,400 Speaker 2: and it makes people like me wonder. You know, I'm 228 00:14:12,440 --> 00:14:15,199 Speaker 2: trying to develop drugs that gets rid of this parasite 229 00:14:15,240 --> 00:14:18,080 Speaker 2: completely from the body, you know, because for you know, 230 00:14:18,160 --> 00:14:22,600 Speaker 2: compromise patients, this could be a fatal affection. So we 231 00:14:22,640 --> 00:14:24,560 Speaker 2: need drugs to get rid of it completely, and those 232 00:14:24,600 --> 00:14:27,200 Speaker 2: currently don't exist. It's one of the missions of my lap. 233 00:14:28,120 --> 00:14:30,480 Speaker 2: But let's say we're successful and we do find a 234 00:14:30,560 --> 00:14:32,480 Speaker 2: drug that can get rid of these cysts once and 235 00:14:32,520 --> 00:14:35,920 Speaker 2: for all, what would happen to the personality of that 236 00:14:36,000 --> 00:14:40,680 Speaker 2: person that people knew and loved. Would it change in 237 00:14:40,720 --> 00:14:43,800 Speaker 2: a way you know that would be better or worse. 238 00:14:45,080 --> 00:14:47,760 Speaker 2: It's a really interesting thing to contemplate, and that was 239 00:14:47,800 --> 00:14:50,880 Speaker 2: one of the drivers behind the book, was to look 240 00:14:50,880 --> 00:14:54,160 Speaker 2: at some of these hidden forces in the body and 241 00:14:54,960 --> 00:14:57,680 Speaker 2: see what's under the radar there that might be influencing 242 00:14:57,720 --> 00:14:59,960 Speaker 2: our behavior in ways that we don't know about. 243 00:15:00,640 --> 00:15:06,080 Speaker 3: So, Bill, when you look at my studies or other animals, 244 00:15:06,480 --> 00:15:11,080 Speaker 3: is it particularly impacting on the amygdala or on certain 245 00:15:11,200 --> 00:15:14,440 Speaker 3: circuitry that's involved in behavior. As soon as you're talking, 246 00:15:14,480 --> 00:15:17,640 Speaker 3: I'm thinking, surely the amigdala in the front of lobes, 247 00:15:17,680 --> 00:15:20,760 Speaker 3: the go no go circuit has to be involved in this. 248 00:15:21,240 --> 00:15:25,520 Speaker 3: Do we know specifically where it's acting or have we 249 00:15:25,600 --> 00:15:27,160 Speaker 3: not got that level of detail yet? 250 00:15:28,320 --> 00:15:32,200 Speaker 2: That's an excellent question, and there's really scant information at 251 00:15:32,240 --> 00:15:35,920 Speaker 2: this time. The great Robert Sapolski actually did a study 252 00:15:36,000 --> 00:15:38,440 Speaker 2: trying to find where the cyst went in the brain. 253 00:15:38,520 --> 00:15:40,760 Speaker 2: I think this is over ten years ago now, but 254 00:15:40,840 --> 00:15:43,560 Speaker 2: he's one of the few people who actually tried, and 255 00:15:43,600 --> 00:15:46,440 Speaker 2: he stated in his paper that he did see a 256 00:15:46,640 --> 00:15:50,880 Speaker 2: very slight enrichment in the amigdala for where the parasite 257 00:15:50,960 --> 00:15:54,200 Speaker 2: was going. But I don't believe that's ever been replicated. 258 00:15:54,280 --> 00:15:57,040 Speaker 2: I don't know if anyone's tried to replicate it. Most 259 00:15:57,080 --> 00:15:59,320 Speaker 2: of the studies I'm aware of, and the studies from 260 00:15:59,320 --> 00:16:02,480 Speaker 2: my own lab, have found pretty much a random distribution 261 00:16:03,080 --> 00:16:06,800 Speaker 2: these cysts throughout the brain, and it might explain why 262 00:16:06,880 --> 00:16:10,720 Speaker 2: sometimes the behavioral changes vary. Yes, you know, you don't 263 00:16:10,760 --> 00:16:13,920 Speaker 2: see the same degree of change every single time and 264 00:16:13,960 --> 00:16:17,160 Speaker 2: in every single animal. So I think there's a little 265 00:16:17,200 --> 00:16:19,920 Speaker 2: luck of the drawl as to where the parasite happens 266 00:16:19,960 --> 00:16:22,920 Speaker 2: to end up in the brain. And what sort of 267 00:16:22,920 --> 00:16:24,880 Speaker 2: behavioral modification you see. 268 00:16:25,000 --> 00:16:27,480 Speaker 3: Bloody Yeah, we could get We could end up with 269 00:16:27,720 --> 00:16:32,400 Speaker 3: targeted parasite cysts in the briand to try and improve 270 00:16:32,920 --> 00:16:37,600 Speaker 3: our change behavior as Wow, that opens a whole ethical 271 00:16:38,680 --> 00:16:39,880 Speaker 3: Pandora's box. 272 00:16:39,640 --> 00:16:40,960 Speaker 1: Doesn't it? 273 00:16:40,960 --> 00:16:41,600 Speaker 2: It sure does. 274 00:16:41,680 --> 00:16:43,360 Speaker 1: So let's know I talk about so. 275 00:16:44,880 --> 00:16:49,000 Speaker 3: An old quote about genes is that genetics loads the 276 00:16:49,000 --> 00:16:53,680 Speaker 3: gun and environment pulls the trigger. So let's explore both 277 00:16:53,760 --> 00:16:58,280 Speaker 3: sides of that. Let's talk about genetics and behavior, because 278 00:16:58,320 --> 00:17:04,200 Speaker 3: again there's a whole host of different association studies around 279 00:17:04,359 --> 00:17:07,119 Speaker 3: certain genes and certain behavior. What are the sort of 280 00:17:07,320 --> 00:17:10,080 Speaker 3: the big ones of interest that you've looked at, and 281 00:17:10,119 --> 00:17:12,240 Speaker 3: then we can jump into the environmental stuff. 282 00:17:13,119 --> 00:17:15,679 Speaker 2: Yeah, sure, well, well there's a connection there because I 283 00:17:15,760 --> 00:17:20,639 Speaker 2: never I never think about genes independent from the environment anymore. 284 00:17:21,160 --> 00:17:23,840 Speaker 2: You know, back in the day that was kind of there. 285 00:17:24,040 --> 00:17:26,840 Speaker 2: There was almost like gene tyranny. Everyone thought that the 286 00:17:26,920 --> 00:17:30,040 Speaker 2: genes were everything, and if we sequence the human genome, 287 00:17:30,320 --> 00:17:33,080 Speaker 2: we were going to solve all the diseases and disorders 288 00:17:33,080 --> 00:17:35,760 Speaker 2: that are out there. Now. I don't want to underplay 289 00:17:35,800 --> 00:17:39,400 Speaker 2: that achievement at all. It's a fantastic achievement, has produced 290 00:17:40,280 --> 00:17:47,160 Speaker 2: wildly informative studies, but I think it diminished how we 291 00:17:47,200 --> 00:17:51,359 Speaker 2: think about the interaction between the environment and genes. And 292 00:17:51,440 --> 00:17:55,760 Speaker 2: I got involved in this because there's there's basically two 293 00:17:55,880 --> 00:17:59,000 Speaker 2: hidden forces. Okay, to go back to the analogy that 294 00:17:59,080 --> 00:18:03,040 Speaker 2: pleased to meet me, use is, genes and epigenetics are 295 00:18:03,080 --> 00:18:07,840 Speaker 2: what I consider two other very related hidden forces that 296 00:18:07,880 --> 00:18:12,080 Speaker 2: are operating in our body. As you said, most people 297 00:18:12,119 --> 00:18:14,880 Speaker 2: think of genes, you know, it's kind of like, well, 298 00:18:14,920 --> 00:18:18,320 Speaker 2: they build you, right, They're a recipe for life. And 299 00:18:19,720 --> 00:18:22,000 Speaker 2: most people won't have to be convinced that there are 300 00:18:22,119 --> 00:18:25,280 Speaker 2: genes that control your eye color or whether you have 301 00:18:25,400 --> 00:18:28,640 Speaker 2: curly hair. But when you tell them that there's genes 302 00:18:28,680 --> 00:18:34,400 Speaker 2: that are involved in addiction or obesity or things that 303 00:18:34,440 --> 00:18:38,399 Speaker 2: people usually look to your you know, your moral discipline about. 304 00:18:38,840 --> 00:18:42,080 Speaker 2: You tell them that genes can influence that genes can 305 00:18:42,080 --> 00:18:45,800 Speaker 2: dictate what sort of foods you like. You know, and 306 00:18:46,880 --> 00:18:49,520 Speaker 2: you know, there's even a study that shows that genes 307 00:18:49,520 --> 00:18:53,959 Speaker 2: can have something to do with when you lose your virginity. 308 00:18:54,080 --> 00:18:55,200 Speaker 1: Wow, I mean it's. 309 00:18:55,320 --> 00:18:58,040 Speaker 2: Crazy, right, But when you when you when you read 310 00:18:58,080 --> 00:19:01,240 Speaker 2: the whole story, it's basically because there's genes that initiate 311 00:19:01,320 --> 00:19:04,960 Speaker 2: puberty earlier in some individuals, and that's really all it's about. 312 00:19:05,000 --> 00:19:09,880 Speaker 2: But genes can have some remarkably predictive power with respect 313 00:19:09,880 --> 00:19:14,560 Speaker 2: to behavioral changes and personality in general, much more than 314 00:19:14,600 --> 00:19:17,960 Speaker 2: I ever appreciated before I started doing the research for 315 00:19:18,000 --> 00:19:21,360 Speaker 2: Please to Meet Me. But I love the analogy. Say 316 00:19:21,359 --> 00:19:22,679 Speaker 2: that again, Paul, what did you say. 317 00:19:22,640 --> 00:19:25,960 Speaker 3: Genes genetics loads the gun and environment pulls the trigger. 318 00:19:26,040 --> 00:19:27,879 Speaker 1: And I'm not sure who there was. 319 00:19:27,880 --> 00:19:32,119 Speaker 3: Some Nobel Prize winner who said genes are not deterministic. 320 00:19:32,200 --> 00:19:34,200 Speaker 1: They do not operate in a vacuum. 321 00:19:34,600 --> 00:19:37,359 Speaker 3: Genes are the servants of the environment, right, and that 322 00:19:37,400 --> 00:19:40,119 Speaker 3: gets into the interactions between them. 323 00:19:40,600 --> 00:19:43,639 Speaker 2: Yeah, and I think there's a lot of truth to 324 00:19:43,680 --> 00:19:50,000 Speaker 2: that statement. But sometimes genes really do have a huge impact, 325 00:19:50,440 --> 00:19:54,720 Speaker 2: and sometimes it's just a single one. So the examples 326 00:19:54,760 --> 00:19:57,520 Speaker 2: I cited in my book would be like a genetic 327 00:19:57,600 --> 00:20:03,400 Speaker 2: mutation in certain gene will cause sickle cell amenius. There's 328 00:20:03,440 --> 00:20:07,240 Speaker 2: a genetic mutation in another gene that will cause Huntington's disease. 329 00:20:07,760 --> 00:20:11,600 Speaker 2: And these are predictive without fail. They are right every 330 00:20:11,600 --> 00:20:14,760 Speaker 2: single time. So in those cases it really doesn't matter 331 00:20:14,800 --> 00:20:19,080 Speaker 2: what the environment's doing. That phenotype, that characteristic is going 332 00:20:19,119 --> 00:20:22,800 Speaker 2: to happen no matter what. But we don't want to 333 00:20:22,840 --> 00:20:27,520 Speaker 2: overextend that, Okay. So those are actually rare instances where 334 00:20:27,520 --> 00:20:32,120 Speaker 2: the genes are really really important and highly predictive. Other 335 00:20:32,200 --> 00:20:36,720 Speaker 2: things like personality and behavior are far more complicated. They 336 00:20:36,760 --> 00:20:41,000 Speaker 2: involve the activities of hundreds, maybe thousands of genes, and 337 00:20:41,080 --> 00:20:44,320 Speaker 2: we are in we're nowhere near close to being able 338 00:20:44,600 --> 00:20:49,520 Speaker 2: to formulate predictions. So the analogy that I used was 339 00:20:49,600 --> 00:20:54,040 Speaker 2: that genes are the piano, but it's the environment that 340 00:20:54,119 --> 00:20:58,600 Speaker 2: plays the song. Yeah, okay, so when you're talking about behavior, 341 00:20:59,000 --> 00:21:02,600 Speaker 2: that's where the environment it can have really strong effects, 342 00:21:03,280 --> 00:21:08,000 Speaker 2: even things if physical characteristics can be affected by the environment. 343 00:21:08,560 --> 00:21:13,159 Speaker 2: So we all know height is about eighty percent genetically controlled, 344 00:21:13,440 --> 00:21:18,239 Speaker 2: but it does have a twenty percent environmental component. So 345 00:21:18,720 --> 00:21:21,960 Speaker 2: that means you're in your DNA, you could have the 346 00:21:22,040 --> 00:21:25,480 Speaker 2: genes that should build a human being that is six 347 00:21:25,560 --> 00:21:27,800 Speaker 2: foot tall. Okay, let's just say that for the sake 348 00:21:27,840 --> 00:21:32,480 Speaker 2: of argument. But if that individual grows up in poverty 349 00:21:32,760 --> 00:21:35,240 Speaker 2: and is malnourished, you're not going to get to that 350 00:21:35,320 --> 00:21:38,879 Speaker 2: six feet. That genetic potential is not going to be realized. 351 00:21:39,160 --> 00:21:42,960 Speaker 2: Why because of the environment. And that's where this concept 352 00:21:43,000 --> 00:21:48,160 Speaker 2: of epigenetics comes in, which is the environment basically regulating 353 00:21:48,280 --> 00:21:52,240 Speaker 2: how gene activity works, and that can have a profound 354 00:21:52,320 --> 00:21:57,240 Speaker 2: influence on how someone looks and acts, which to me 355 00:21:57,359 --> 00:22:00,919 Speaker 2: is mind blowing for two reasons. First of all, it 356 00:22:01,040 --> 00:22:05,600 Speaker 2: kind of destroys the whole nature nurture dichotomy. Yeah, in 357 00:22:05,600 --> 00:22:10,199 Speaker 2: my mind, that's a false dichotomy. We shouldn't really bifurcate 358 00:22:10,240 --> 00:22:12,960 Speaker 2: those principles like that there are two sides of the 359 00:22:13,000 --> 00:22:17,080 Speaker 2: same coin. And the second thing it tells me is 360 00:22:17,119 --> 00:22:22,760 Speaker 2: that there are a lot of potential people in your 361 00:22:23,000 --> 00:22:27,800 Speaker 2: genome and you are just one manifestation of what could 362 00:22:27,840 --> 00:22:33,359 Speaker 2: have happened, which I think is a fascinating philosophical concept. 363 00:22:34,280 --> 00:22:37,320 Speaker 3: It is a really interesting concept. And I'll give you 364 00:22:37,400 --> 00:22:40,760 Speaker 3: one that was springing to mind as you were talking 365 00:22:40,760 --> 00:22:43,399 Speaker 3: about that. And Dennis Charney has done a lot of 366 00:22:43,440 --> 00:22:47,720 Speaker 3: research on resilience, studying a lot of combat veterans, but 367 00:22:47,760 --> 00:22:52,480 Speaker 3: then done genetic testing around a whole heap of people 368 00:22:52,520 --> 00:22:56,800 Speaker 3: who've been through trauma, some who get PTSD, some who don't, 369 00:22:57,560 --> 00:23:01,639 Speaker 3: and they have identified that there is one gene that 370 00:23:02,000 --> 00:23:05,960 Speaker 3: if say you have one variant and I have another variant, 371 00:23:06,160 --> 00:23:10,400 Speaker 3: and that if we are brought up in highly stressful situations, 372 00:23:11,240 --> 00:23:15,560 Speaker 3: I will develop PTSD and have massive mental health problems, 373 00:23:15,640 --> 00:23:19,119 Speaker 3: whereas you with a different variant of that gene end 374 00:23:19,200 --> 00:23:23,800 Speaker 3: up becoming much more resilient. Right, And so exactly what 375 00:23:23,840 --> 00:23:28,560 Speaker 3: you talked about there, the gene environment interaction then having 376 00:23:28,560 --> 00:23:32,000 Speaker 3: a huge impact on behavior. And so if you're brought 377 00:23:32,080 --> 00:23:34,280 Speaker 3: up in a stressful situation, you end up much more resilient. 378 00:23:34,320 --> 00:23:36,480 Speaker 3: But if you're not brought up in a stressful situation, 379 00:23:36,560 --> 00:23:37,360 Speaker 3: you don't end up. 380 00:23:37,359 --> 00:23:39,880 Speaker 1: Much more resilient. So there's two different versions of you 381 00:23:39,960 --> 00:23:41,520 Speaker 1: depending on that upbringing. 382 00:23:42,200 --> 00:23:45,119 Speaker 3: And it's really fascinating, isn't it that that environment and 383 00:23:45,160 --> 00:23:48,080 Speaker 3: I've never thought about it before from that perspective, that 384 00:23:48,160 --> 00:23:53,959 Speaker 3: there's a whole heap of potential use that they interact. Jesus, 385 00:23:54,000 --> 00:23:56,640 Speaker 3: we're getting into quantum physics here and right. 386 00:23:56,520 --> 00:24:00,199 Speaker 2: Right, If you're a believer in parallel univers indeed, you 387 00:24:00,240 --> 00:24:03,120 Speaker 2: know there's an infinite number of other Paul Taylors out 388 00:24:03,119 --> 00:24:06,000 Speaker 2: there that could be very similar to you or very different. 389 00:24:06,119 --> 00:24:07,960 Speaker 1: Hmm. Yeah, wow, that's fascinating. 390 00:24:08,040 --> 00:24:11,600 Speaker 3: So let's let's just dive into epigenetics a little bit 391 00:24:11,640 --> 00:24:15,560 Speaker 3: and just give our listeners a bit more of a 392 00:24:15,600 --> 00:24:21,200 Speaker 3: sense about epigenetic regulation of things and how that happens 393 00:24:21,640 --> 00:24:25,800 Speaker 3: throughout our lifetime to affect a whole host of different things. 394 00:24:26,880 --> 00:24:27,160 Speaker 1: Yeah. 395 00:24:27,200 --> 00:24:31,520 Speaker 2: So, epigenetics is a relatively new science, and we started 396 00:24:31,520 --> 00:24:35,240 Speaker 2: studying it in the context of toxoplasma because that's how 397 00:24:35,280 --> 00:24:39,240 Speaker 2: old some of these gene regulatory mechanisms are Toxoplasma evolved 398 00:24:39,640 --> 00:24:42,040 Speaker 2: millions and millions of years ago, long before we came 399 00:24:42,080 --> 00:24:46,199 Speaker 2: into the picture, right, and it's still using epigenetics. So 400 00:24:47,000 --> 00:24:49,440 Speaker 2: the way I like to describe epigenetics, just so people 401 00:24:49,560 --> 00:24:53,639 Speaker 2: understand it very simply, is that you can have you 402 00:24:53,800 --> 00:24:58,640 Speaker 2: think about a caterpillar and a butterfly. Okay, very very 403 00:24:58,960 --> 00:25:06,119 Speaker 2: different physical manifestations of the same genome. A caterpillar and 404 00:25:06,160 --> 00:25:10,000 Speaker 2: a butterfly have the exact same DNA, So how do 405 00:25:10,080 --> 00:25:16,680 Speaker 2: you get such drastic morphological differences in these two forms? 406 00:25:16,920 --> 00:25:20,119 Speaker 2: And that's what epigenetics comes down to. They have the 407 00:25:20,160 --> 00:25:23,359 Speaker 2: same exact genes, but different ones are turned on and 408 00:25:23,400 --> 00:25:26,520 Speaker 2: different ones are turned off between those two different states. 409 00:25:27,040 --> 00:25:32,399 Speaker 2: And put simply, epigenetics is simply a chemical modification that 410 00:25:32,520 --> 00:25:35,600 Speaker 2: takes place on the DNA molecule, on a gene, if 411 00:25:35,640 --> 00:25:40,160 Speaker 2: you will, that changes its activity. It can ramp it up, 412 00:25:40,760 --> 00:25:43,200 Speaker 2: it can ramp it down, it can shut it off completely. 413 00:25:44,040 --> 00:25:48,240 Speaker 2: And those chemical modifications come from the environment. They come 414 00:25:48,280 --> 00:25:52,080 Speaker 2: from signals in the environment. And this not only can 415 00:25:52,119 --> 00:25:57,160 Speaker 2: affect us today, it has affected us during our entire lives. 416 00:25:57,600 --> 00:26:00,919 Speaker 2: So the way an embryo develops for example, from a 417 00:26:01,000 --> 00:26:05,879 Speaker 2: single cell. Every time a new cellular division occurs and 418 00:26:05,960 --> 00:26:09,600 Speaker 2: it's time to make different organs, that's when epigenetics comes 419 00:26:09,600 --> 00:26:14,040 Speaker 2: into play. It's like a unfolding computer program, if you will. 420 00:26:14,560 --> 00:26:18,320 Speaker 2: But when one of those cells divides in the embryo 421 00:26:18,359 --> 00:26:21,520 Speaker 2: and says it's time to be a liver cell, that 422 00:26:21,640 --> 00:26:24,800 Speaker 2: cell shuts off all the other unrelated genes and turns 423 00:26:24,840 --> 00:26:27,960 Speaker 2: on only the genes designed to make it a liver cell. 424 00:26:28,760 --> 00:26:33,040 Speaker 2: And that's epigenetics probably at its most simplest. Where it 425 00:26:33,680 --> 00:26:38,920 Speaker 2: affects people as they grow is that we can see studies, 426 00:26:38,960 --> 00:26:44,160 Speaker 2: like you mentioned before. If we look at children, for example, 427 00:26:44,520 --> 00:26:51,080 Speaker 2: who are subjected to aces or adverse childhood experiences, bullying, neglect, abuse, 428 00:26:52,760 --> 00:26:56,439 Speaker 2: and you look at their genomes, they are epigenetically modified. 429 00:26:57,000 --> 00:27:00,680 Speaker 2: They're not mutated, but the genes are chemically modified to 430 00:27:03,320 --> 00:27:08,680 Speaker 2: express stress genes differently. So, like you were alluding to earlier, 431 00:27:09,800 --> 00:27:15,640 Speaker 2: stressful situations are handled differently on average by children who 432 00:27:15,680 --> 00:27:19,920 Speaker 2: were in stressful environments, you know, for you know, their 433 00:27:20,040 --> 00:27:24,000 Speaker 2: most impressionable years. Those changes are governed by epigenetics. There's 434 00:27:24,000 --> 00:27:28,359 Speaker 2: a well documented study that shows children who are unfortunately 435 00:27:28,440 --> 00:27:33,320 Speaker 2: subjected to aces have what we call DNA methylation at 436 00:27:33,320 --> 00:27:37,280 Speaker 2: stress responsive genes. Now, DNA methylation is one of those 437 00:27:37,440 --> 00:27:40,760 Speaker 2: chemicals I told about, told you about that can modify DNA, 438 00:27:41,640 --> 00:27:44,080 Speaker 2: and you can think of them as like little construction 439 00:27:44,200 --> 00:27:47,359 Speaker 2: cones on the highway. Every time a gene gets methylated, 440 00:27:47,440 --> 00:27:51,720 Speaker 2: once it starts to shut down. So if you have 441 00:27:51,760 --> 00:27:55,720 Speaker 2: a heavily methylated gene, it can be virtually completely turned off. 442 00:27:56,440 --> 00:27:59,440 Speaker 2: And that means the stress responses in these children are 443 00:27:59,480 --> 00:28:02,679 Speaker 2: just not being turned on correctly or they're in a 444 00:28:02,800 --> 00:28:07,879 Speaker 2: constant state of being hyperactivated. And that extends into their 445 00:28:07,920 --> 00:28:13,879 Speaker 2: adulthood and explains why there's correlations between children who experience 446 00:28:14,040 --> 00:28:17,280 Speaker 2: those unfortunate events when they were young and then have 447 00:28:17,359 --> 00:28:22,440 Speaker 2: problems interacting socially, you know, in older age, and they're 448 00:28:22,440 --> 00:28:26,320 Speaker 2: more more prone to violence and mental health disorders. 449 00:28:26,080 --> 00:28:28,720 Speaker 1: And to end up in prison as well, right. 450 00:28:28,520 --> 00:28:31,800 Speaker 2: And to end up in prison, yeah, yeah, So it's 451 00:28:32,240 --> 00:28:34,960 Speaker 2: even if they get into a better environment later in life. 452 00:28:35,000 --> 00:28:38,000 Speaker 2: There seems to be a window during our childhood. It's 453 00:28:38,040 --> 00:28:42,720 Speaker 2: critically important, and if it's epigenetically wired in the wrong way, 454 00:28:43,640 --> 00:28:48,240 Speaker 2: it can set that child up for a lifetime of trouble. 455 00:28:48,560 --> 00:28:50,960 Speaker 2: And that's something we need to deal with, and that 456 00:28:51,360 --> 00:28:53,320 Speaker 2: knowledge is power. It might be able to help us. 457 00:28:53,280 --> 00:28:57,640 Speaker 3: And it has huge implications, doesn't it throughout society and 458 00:28:57,880 --> 00:29:00,560 Speaker 3: throughout how we treat these people when they end up 459 00:29:00,600 --> 00:29:01,120 Speaker 3: in trouble. 460 00:29:02,360 --> 00:29:03,520 Speaker 2: I couldn't agree more. 461 00:29:03,920 --> 00:29:07,680 Speaker 3: And then even you know, if we just take people 462 00:29:07,720 --> 00:29:10,120 Speaker 3: in prisons, we know a huge amount of them have 463 00:29:10,200 --> 00:29:14,000 Speaker 3: had a traumatic brain injury, right, which then modifies their behavior. 464 00:29:14,080 --> 00:29:17,080 Speaker 3: And that seems to be pretty obvious. You go, well, 465 00:29:17,160 --> 00:29:20,840 Speaker 3: this person's has had a traumatic brain injury that has 466 00:29:21,040 --> 00:29:24,080 Speaker 3: changed certain areas of the brain, and their front elopes. 467 00:29:23,760 --> 00:29:26,040 Speaker 1: Don't work as well, so we need to do something 468 00:29:26,080 --> 00:29:28,400 Speaker 1: about that. That is a bit more obvious. 469 00:29:29,080 --> 00:29:33,040 Speaker 3: But it's the same as that epigenetic modification of that 470 00:29:33,240 --> 00:29:37,959 Speaker 3: child who's brought up in a stressful environment with a 471 00:29:38,040 --> 00:29:39,640 Speaker 3: father who's violent and. 472 00:29:39,680 --> 00:29:42,480 Speaker 1: Drinking and they're poor in all of these things. 473 00:29:43,000 --> 00:29:45,880 Speaker 3: As you rightly say, it can then affect their behavior 474 00:29:45,960 --> 00:29:51,120 Speaker 3: throughout their life. Now, is there any evidence then that 475 00:29:51,160 --> 00:29:56,080 Speaker 3: those epigenetic changes can then be passed on to their children, 476 00:29:56,280 --> 00:29:59,480 Speaker 3: because I know that so certain things. 477 00:29:59,560 --> 00:30:01,640 Speaker 1: For instance, we know that. 478 00:30:02,040 --> 00:30:05,400 Speaker 3: If one of your parents was an alcoholic or a 479 00:30:05,480 --> 00:30:09,280 Speaker 3: drug addict, there will then be atpigenetic changes on your 480 00:30:09,360 --> 00:30:13,840 Speaker 3: dopamine receptors, which will then influence your behavior at your 481 00:30:13,960 --> 00:30:17,200 Speaker 3: risk of becoming addicted yourself. Do we see similar things 482 00:30:17,240 --> 00:30:20,160 Speaker 3: with people who've been through uses or is there any 483 00:30:20,200 --> 00:30:25,560 Speaker 3: other examples of that where you've seen epigenetic modifications actually 484 00:30:25,680 --> 00:30:28,479 Speaker 3: then happening in the next generation. Because we didn't used 485 00:30:28,480 --> 00:30:29,560 Speaker 3: to think that could happen. 486 00:30:29,400 --> 00:30:33,640 Speaker 2: Right right, right, Yeah, we didn't think that trauma could 487 00:30:33,640 --> 00:30:38,640 Speaker 2: be inherited in those ways. And unfortunately, the mindset of 488 00:30:38,720 --> 00:30:42,280 Speaker 2: many individuals is to tell someone who is suffering, or 489 00:30:42,320 --> 00:30:46,120 Speaker 2: who's committed crimes or is overly aggressive, to snap out 490 00:30:46,160 --> 00:30:49,360 Speaker 2: of it, change your behavior, and that might be like 491 00:30:49,640 --> 00:30:52,960 Speaker 2: telling a blind person to see God, damn it. Yeah, 492 00:30:53,000 --> 00:30:56,880 Speaker 2: you know. I like the parallel that you drew there 493 00:30:57,160 --> 00:31:01,000 Speaker 2: between brain injury and the proclivity for violence. What's the 494 00:31:01,040 --> 00:31:04,640 Speaker 2: difference if it's an actual brain injury versus modification of 495 00:31:04,680 --> 00:31:08,560 Speaker 2: your DNA molecule. Both are going to affect behavior, and 496 00:31:08,720 --> 00:31:11,400 Speaker 2: we need to step back as a society and evaluate 497 00:31:11,720 --> 00:31:17,040 Speaker 2: are we really treating people even if they've committed offenses 498 00:31:17,160 --> 00:31:20,360 Speaker 2: that we find, you know, quite horrible. Are we really 499 00:31:20,400 --> 00:31:23,960 Speaker 2: going about this the right way? And more importantly, are 500 00:31:24,000 --> 00:31:27,480 Speaker 2: there biomarkers that we might be able to essay to 501 00:31:27,760 --> 00:31:30,480 Speaker 2: catch this sort of behavior or try to predict that 502 00:31:30,560 --> 00:31:34,920 Speaker 2: this person is going to be in a higher is 503 00:31:35,000 --> 00:31:38,280 Speaker 2: going to have a higher proclivity for violence or aggression, 504 00:31:38,720 --> 00:31:40,920 Speaker 2: and then we might be able to start therapy or 505 00:31:40,920 --> 00:31:45,560 Speaker 2: treatment before it becomes a problem. That's that's my ultimate hope. 506 00:31:45,720 --> 00:31:47,240 Speaker 2: But you were you were. 507 00:31:48,640 --> 00:31:52,440 Speaker 3: I'm sorry whether. 508 00:31:51,560 --> 00:31:55,440 Speaker 2: The oh the evidence yea. The concept you're referring to there, 509 00:31:55,520 --> 00:32:00,920 Speaker 2: and it's a mouthful, what's called transgenerational epigenetic inheritance. And 510 00:32:01,360 --> 00:32:06,800 Speaker 2: you've stumbled upon one of the most controversial ideas in 511 00:32:07,200 --> 00:32:11,040 Speaker 2: genetics today, because there's a whole school of thought that 512 00:32:12,000 --> 00:32:16,760 Speaker 2: with epigenetics there is now a real tangible way that 513 00:32:18,520 --> 00:32:22,280 Speaker 2: behavioral learned behavior can be passed on to the next generation, 514 00:32:22,480 --> 00:32:24,840 Speaker 2: or that trauma could be passed on to the next generation. 515 00:32:25,320 --> 00:32:29,240 Speaker 2: But the evidence for that idea we need some more. 516 00:32:29,800 --> 00:32:33,480 Speaker 2: It needs to be more rigorous. But I'll tell you 517 00:32:33,520 --> 00:32:36,080 Speaker 2: about one of the coolest experiments that I wrote about 518 00:32:36,080 --> 00:32:40,400 Speaker 2: in the book that just blew my mind and suggests 519 00:32:40,440 --> 00:32:44,720 Speaker 2: that an investment of research dollars into this phenomenon is 520 00:32:44,760 --> 00:32:50,440 Speaker 2: worth it. So these scientists several years ago wanted to 521 00:32:50,480 --> 00:32:55,240 Speaker 2: investigate whether trauma was heritable, so they used a mouse 522 00:32:55,280 --> 00:33:01,360 Speaker 2: model and they basically induced a learned fear into these mice. 523 00:33:01,520 --> 00:33:04,360 Speaker 2: And the way they did that was mice normally love 524 00:33:04,440 --> 00:33:07,479 Speaker 2: the smell of cherries, right, just like we do, but 525 00:33:07,600 --> 00:33:11,160 Speaker 2: not if they're shocked at the same time they're smelling 526 00:33:11,160 --> 00:33:14,120 Speaker 2: the cherries. Okay, So if the scientists allow them to 527 00:33:14,120 --> 00:33:17,760 Speaker 2: smell cherries but then shock them, they start to develop 528 00:33:18,560 --> 00:33:24,160 Speaker 2: an unusual fear of cherries. Okay. So the interesting part 529 00:33:24,240 --> 00:33:30,000 Speaker 2: came when the scientists decided to mate those mice that 530 00:33:30,120 --> 00:33:34,600 Speaker 2: were unnaturally afraid of cherries with a normal mouse and 531 00:33:35,520 --> 00:33:38,960 Speaker 2: then look at the behavior of the offspring, and wouldn't 532 00:33:38,960 --> 00:33:43,080 Speaker 2: you know it, the offspring were afraid of cherries. And 533 00:33:43,280 --> 00:33:47,440 Speaker 2: that's remarkable because they never saw their parents get shocked. 534 00:33:48,000 --> 00:33:50,960 Speaker 2: They've never been shocked. They were just born with this 535 00:33:51,160 --> 00:33:56,280 Speaker 2: brand new fear that most mice do not have. And 536 00:33:56,320 --> 00:33:59,120 Speaker 2: then they looked at the grand children of those parents 537 00:33:59,120 --> 00:34:02,800 Speaker 2: and the behavior was still there. Those grandchildren were still 538 00:34:02,880 --> 00:34:07,600 Speaker 2: afraid of cherries, and that's pretty remarkable to me. And 539 00:34:07,640 --> 00:34:10,280 Speaker 2: they've done a whole lot of mechanistic work that tracked 540 00:34:10,320 --> 00:34:16,400 Speaker 2: it down to an epigenetic modification of an olfactory receptor 541 00:34:17,040 --> 00:34:21,000 Speaker 2: that happens to go to the brain, and this epigenetic 542 00:34:21,120 --> 00:34:23,880 Speaker 2: change was taking place in the sperm of the males 543 00:34:24,320 --> 00:34:25,760 Speaker 2: that were shocked by the cherries. 544 00:34:25,840 --> 00:34:26,480 Speaker 1: Oh wow. 545 00:34:26,560 --> 00:34:31,319 Speaker 2: So it provides a really interesting and plausible mechanism for 546 00:34:31,480 --> 00:34:35,480 Speaker 2: how this might be happening, how this inherited trauma might 547 00:34:35,520 --> 00:34:38,359 Speaker 2: be happening. But we do have to be careful with 548 00:34:38,400 --> 00:34:42,920 Speaker 2: how we interpret these sorts of results, because you know, 549 00:34:43,840 --> 00:34:46,719 Speaker 2: if I know how to play the guitar, you know, 550 00:34:46,920 --> 00:34:50,440 Speaker 2: my kids were not born knowing how to play the guitar. 551 00:34:51,719 --> 00:34:55,000 Speaker 2: But that's a very complicated behavior, maybe very simple ones, 552 00:34:55,080 --> 00:34:57,000 Speaker 2: especially ones that play into survivor. 553 00:34:57,120 --> 00:35:00,719 Speaker 3: I was just about to say the survivor, because it's 554 00:35:00,760 --> 00:35:05,439 Speaker 3: interesting that that that the two mice being meted, one 555 00:35:05,480 --> 00:35:08,879 Speaker 3: with the fear, one without the fear. The dominant one 556 00:35:08,920 --> 00:35:11,839 Speaker 3: that's passed on is the fear. So straight away, am 557 00:35:11,840 --> 00:35:14,480 Speaker 3: I brain on my survival? That that that's got to 558 00:35:14,520 --> 00:35:15,640 Speaker 3: be a survival. 559 00:35:15,160 --> 00:35:19,000 Speaker 2: And and that would make that would make perfect evolutionary. 560 00:35:18,360 --> 00:35:19,640 Speaker 1: Sense right absolutely. 561 00:35:20,160 --> 00:35:23,759 Speaker 2: And when you see other examples in different model organisms, 562 00:35:23,800 --> 00:35:26,360 Speaker 2: like there is a oh what is this creature. I 563 00:35:26,360 --> 00:35:30,399 Speaker 2: think it's some kind of water flea or something like that. 564 00:35:30,480 --> 00:35:37,240 Speaker 2: There's a little microscopic water flea that when you put 565 00:35:37,880 --> 00:35:43,520 Speaker 2: its predators sent into the tank, its offspring will be 566 00:35:43,600 --> 00:35:47,319 Speaker 2: born with these defensive hooks on its head which are 567 00:35:47,360 --> 00:35:51,280 Speaker 2: not present on the parent. Oh wow, So that's another 568 00:35:51,719 --> 00:35:55,319 Speaker 2: example of how an epigenetic change that took place in 569 00:35:55,400 --> 00:35:59,600 Speaker 2: a parent that got scared and then whilah, it's children 570 00:35:59,600 --> 00:36:01,320 Speaker 2: are born with this new defense system. 571 00:36:01,480 --> 00:36:01,800 Speaker 1: Yeah. 572 00:36:01,880 --> 00:36:06,719 Speaker 2: So it's almost like the parent is sending, you know, 573 00:36:06,840 --> 00:36:10,160 Speaker 2: like a signal of some kind of molecular signal that 574 00:36:10,360 --> 00:36:13,680 Speaker 2: is woven into the fabric of the DNA to tell 575 00:36:13,719 --> 00:36:16,719 Speaker 2: its child, Hey, this is a dangerous environment. You should 576 00:36:16,800 --> 00:36:19,840 Speaker 2: expend extra energy to make these horns on your head, 577 00:36:19,880 --> 00:36:22,840 Speaker 2: which you normally don't have to do. But since there's 578 00:36:23,040 --> 00:36:26,480 Speaker 2: since mom and dad detect predators, we're basically sending you 579 00:36:26,520 --> 00:36:28,600 Speaker 2: a molecular signal that you've got to make these horns 580 00:36:28,600 --> 00:36:31,160 Speaker 2: on your head. And then after a couple of generations, 581 00:36:31,160 --> 00:36:33,840 Speaker 2: if the predator scent is no longer there, they go away. 582 00:36:34,440 --> 00:36:36,280 Speaker 2: So it's reversible changes as well. 583 00:36:36,360 --> 00:36:39,359 Speaker 3: Yeah, and now there's two there's two things that that 584 00:36:39,360 --> 00:36:41,200 Speaker 3: that jump up two rabbit holes that I want to 585 00:36:41,280 --> 00:36:45,279 Speaker 3: go down here, and one is the what's known as 586 00:36:45,320 --> 00:36:49,239 Speaker 3: the Dutch hunger winter. So this came out of I 587 00:36:49,280 --> 00:36:53,640 Speaker 3: believe it's the Second World War where the Germans encircled 588 00:36:54,040 --> 00:36:59,560 Speaker 3: a part of Holland and basically imposed a famine on there. 589 00:36:59,719 --> 00:37:00,560 Speaker 1: And and what. 590 00:37:00,480 --> 00:37:05,000 Speaker 3: They found is that certain babies who were conceived at 591 00:37:05,040 --> 00:37:09,920 Speaker 3: a certain time, so it was all about the trimester, 592 00:37:10,080 --> 00:37:12,080 Speaker 3: and I'm struggling to remember. I think it might have 593 00:37:12,160 --> 00:37:14,520 Speaker 3: been the third trimester. I'm not sure which one it was. 594 00:37:14,560 --> 00:37:20,480 Speaker 3: But they went on to express genes that basically made 595 00:37:20,520 --> 00:37:24,240 Speaker 3: them more thrifty and were much more likely to develop 596 00:37:24,320 --> 00:37:27,520 Speaker 3: diabetes and obesity when they were brought up in an 597 00:37:27,600 --> 00:37:31,200 Speaker 3: environment where there was good nutrition. So it was basically 598 00:37:31,719 --> 00:37:35,080 Speaker 3: when they're born or sus certain trimester when genes are 599 00:37:35,160 --> 00:37:40,560 Speaker 3: being methylated at without food, with mother didn't have the food. 600 00:37:40,680 --> 00:37:44,160 Speaker 3: It basically then said to that child, you're going to 601 00:37:44,160 --> 00:37:47,160 Speaker 3: be in an environment with no food, so you need 602 00:37:47,200 --> 00:37:50,680 Speaker 3: to hold on to all of that energy. And they 603 00:37:50,719 --> 00:37:53,560 Speaker 3: then had children who were more likely to be diabetic 604 00:37:53,600 --> 00:37:58,680 Speaker 3: and opese if they were brought up with sufficient food. Obviously, 605 00:37:58,719 --> 00:38:01,200 Speaker 3: if they hadn't been brought up with with sufficient food 606 00:38:01,200 --> 00:38:04,239 Speaker 3: that would have been a survival advantage, but they then 607 00:38:04,280 --> 00:38:07,680 Speaker 3: went on to have grandchildren who expressed the same thing. 608 00:38:07,960 --> 00:38:12,200 Speaker 3: So again that's another one of those for me, driven 609 00:38:12,239 --> 00:38:12,920 Speaker 3: by survival. 610 00:38:13,080 --> 00:38:15,040 Speaker 1: Survival is prioritizing stuff. 611 00:38:15,080 --> 00:38:20,400 Speaker 3: So that's one around epigenetic and nutritional epigenetics, and we 612 00:38:20,480 --> 00:38:25,359 Speaker 3: know that nutrition has got huge methylation capacities. So I'll 613 00:38:25,360 --> 00:38:27,839 Speaker 3: get your comment on that in a second. But then 614 00:38:27,880 --> 00:38:32,600 Speaker 3: the other one about trauma and intergenerational trauma. So the 615 00:38:32,760 --> 00:38:38,600 Speaker 3: Aboriginal community in Australia have been through pretty severe trauma. 616 00:38:38,719 --> 00:38:40,920 Speaker 3: I don't know if you've heard of the Stolen generation 617 00:38:42,000 --> 00:38:46,000 Speaker 3: that happened in Australia where it was a few decades 618 00:38:46,040 --> 00:38:50,680 Speaker 3: ago were people thought that they were an inferior race 619 00:38:50,880 --> 00:38:54,040 Speaker 3: and that they should be outbred basically, and they actually 620 00:38:54,040 --> 00:38:56,440 Speaker 3: thought that this was good for the population, so they 621 00:38:56,480 --> 00:39:00,200 Speaker 3: went in and stole a whole heap of children and 622 00:39:00,239 --> 00:39:03,839 Speaker 3: give them to white people. And what has now been 623 00:39:03,880 --> 00:39:07,200 Speaker 3: clear is that that trauma has actually been passed on 624 00:39:07,320 --> 00:39:12,360 Speaker 3: from generations and it influences behavior. And then there's the 625 00:39:12,440 --> 00:39:15,960 Speaker 3: whole heap of other disadvantages that they've had. And we 626 00:39:16,080 --> 00:39:20,480 Speaker 3: now know that people are born Aboriginal are more than 627 00:39:20,560 --> 00:39:23,480 Speaker 3: thirty times more likely to be incarcerated than white people. 628 00:39:24,520 --> 00:39:27,920 Speaker 3: And some people in this country go, oh, they're just 629 00:39:28,200 --> 00:39:30,440 Speaker 3: poorly behaved and they need to sort their stuff out, 630 00:39:30,480 --> 00:39:35,040 Speaker 3: and they have got no idea about the impact of 631 00:39:35,080 --> 00:39:39,239 Speaker 3: that trauma and that intergenerational trauma. So take either of 632 00:39:39,280 --> 00:39:42,560 Speaker 3: those that you might find interesting to have a comment on. 633 00:39:44,160 --> 00:39:47,520 Speaker 2: Well they are. I was not as familiar with the 634 00:39:47,560 --> 00:39:50,720 Speaker 2: second example, but I certainly heard of the Dutch hunger 635 00:39:50,800 --> 00:39:56,560 Speaker 2: famine and it's tie to transgenerational epigenetic inheritance, and to 636 00:39:56,640 --> 00:39:58,800 Speaker 2: the best of my knowledge, it's one of the few 637 00:39:59,560 --> 00:40:04,799 Speaker 2: examples that we have of this phenomenon possibly occurring in 638 00:40:04,880 --> 00:40:10,320 Speaker 2: human beings, and I personally think it's pretty convincing evidence. 639 00:40:10,360 --> 00:40:12,440 Speaker 2: You know, a lot of the molecular machinery is not 640 00:40:12,520 --> 00:40:15,480 Speaker 2: in place, but I think the proof of principle is there. 641 00:40:16,239 --> 00:40:24,319 Speaker 2: And like you said, the prenatal environment is kind of 642 00:40:24,440 --> 00:40:29,440 Speaker 2: like a sensory one as well, and mom is trying 643 00:40:29,480 --> 00:40:32,600 Speaker 2: to set up her baby to be ready to be 644 00:40:32,680 --> 00:40:37,239 Speaker 2: born into the environment that she is currently experiencing, right, 645 00:40:37,680 --> 00:40:41,160 Speaker 2: And that's why those children were born with thrifty genotypes, 646 00:40:42,000 --> 00:40:45,480 Speaker 2: which means they did not incur mutations in their DNA. 647 00:40:45,920 --> 00:40:50,319 Speaker 2: That's not the mechanism here, it's purely epigenetic. DNA was 648 00:40:50,360 --> 00:40:56,160 Speaker 2: either methylated chemically modified in some way that it allowed 649 00:40:56,200 --> 00:41:01,000 Speaker 2: these children to extract the maximum number of calories minimal 650 00:41:01,320 --> 00:41:06,279 Speaker 2: amount of food, which is a horrible phenotype to have 651 00:41:06,360 --> 00:41:09,160 Speaker 2: if you're growing up in a virtual candy land, which 652 00:41:09,200 --> 00:41:10,160 Speaker 2: we are today. 653 00:41:09,960 --> 00:41:14,279 Speaker 3: Yes, exactly, but a brilliant phenotype to have if you're 654 00:41:15,239 --> 00:41:17,439 Speaker 3: in an environment where there is not food. 655 00:41:18,400 --> 00:41:20,560 Speaker 2: And that's what biology was trying to do. It was 656 00:41:20,600 --> 00:41:23,200 Speaker 2: trying to prepare those children to be ready for a famine, 657 00:41:23,320 --> 00:41:25,840 Speaker 2: and they're very well could have been one, you know, 658 00:41:26,000 --> 00:41:30,520 Speaker 2: had history gone differently, but there wasn't. And as a consequence, 659 00:41:30,560 --> 00:41:33,960 Speaker 2: we now have a lot of individuals who have a 660 00:41:33,960 --> 00:41:38,680 Speaker 2: thrifty genotype but are extracting too many calories, even though 661 00:41:38,680 --> 00:41:42,680 Speaker 2: they're probably eating reasonably well, they're just still extracting too 662 00:41:42,719 --> 00:41:46,759 Speaker 2: many calories. And that not only tells us about you know, 663 00:41:47,160 --> 00:41:52,279 Speaker 2: intergenerational trauma, but it also tells us about you know 664 00:41:52,280 --> 00:41:54,480 Speaker 2: a lot about the obesity epidemic. You know, how much 665 00:41:54,480 --> 00:41:58,200 Speaker 2: of this is really beyond someone's discipline, and you know, 666 00:41:58,440 --> 00:42:02,040 Speaker 2: whether it's moral, fiber it might be DNA fiber that's 667 00:42:02,080 --> 00:42:04,640 Speaker 2: actually more in play here, and maybe we should have 668 00:42:04,719 --> 00:42:10,920 Speaker 2: a little more sympathy and compassion with respect to you know, 669 00:42:11,920 --> 00:42:15,000 Speaker 2: obese people or people who have been subjected to these 670 00:42:15,480 --> 00:42:20,000 Speaker 2: adverse childhood experiences and then have higher rates of incarceration, 671 00:42:20,320 --> 00:42:23,080 Speaker 2: you know, to speak to the Aborigines example that you 672 00:42:23,120 --> 00:42:29,120 Speaker 2: brought up. I think I think studying these epigenetic phenomena 673 00:42:29,600 --> 00:42:33,160 Speaker 2: is very telling and puts us in a much more 674 00:42:33,200 --> 00:42:37,960 Speaker 2: compassionate place with respect to Let's try to figure out 675 00:42:38,000 --> 00:42:41,759 Speaker 2: what's going on at a biological level, and then from 676 00:42:41,800 --> 00:42:45,640 Speaker 2: there we can potentially work on potential you know, treatments 677 00:42:45,680 --> 00:42:49,560 Speaker 2: for these individuals. We may be able to develop epigenetic 678 00:42:49,640 --> 00:42:55,239 Speaker 2: drugs that can change how these marks exist and then 679 00:42:55,360 --> 00:43:00,480 Speaker 2: put an end to that transgenerational inheritance. 680 00:43:00,080 --> 00:43:00,560 Speaker 1: If you will. 681 00:43:01,000 --> 00:43:07,279 Speaker 3: And it's interesting you're talking about the fatal environment. So 682 00:43:07,400 --> 00:43:11,759 Speaker 3: I know, particularly with my interest in stress and resilience, 683 00:43:11,880 --> 00:43:16,680 Speaker 3: that if mum is stressed in the third trimester, that 684 00:43:18,440 --> 00:43:22,880 Speaker 3: developing fetus actually grows a bigger and more sensitive amygdala 685 00:43:23,120 --> 00:43:27,719 Speaker 3: and they're born with hypervigilance to stress and threat, and 686 00:43:27,760 --> 00:43:33,200 Speaker 3: that is an amazing evolutionary mechanism that mom is basically 687 00:43:33,239 --> 00:43:36,360 Speaker 3: sent to that unborn child, you are going to be 688 00:43:36,440 --> 00:43:38,280 Speaker 3: born into a dangerous environment. 689 00:43:38,920 --> 00:43:40,520 Speaker 1: You need to be on your guard. 690 00:43:40,800 --> 00:43:44,680 Speaker 3: I mean, it's an amazing adaptive response, isn't it if 691 00:43:44,719 --> 00:43:47,640 Speaker 3: that task is born in a dangerous environment. But if 692 00:43:47,640 --> 00:43:51,600 Speaker 3: they're not born in a dangerous environment, it becomes maladaptive 693 00:43:51,719 --> 00:43:54,959 Speaker 3: because they're hypervigilant to stress and threat and more prone 694 00:43:54,960 --> 00:43:56,360 Speaker 3: to anxiety and depression. 695 00:43:57,120 --> 00:43:58,680 Speaker 1: And it's then not good. 696 00:43:58,480 --> 00:44:06,279 Speaker 2: Right, right, that's a brilliant example. Evolution is conservative. It's 697 00:44:06,320 --> 00:44:09,560 Speaker 2: going to take the safe way out. You know, it 698 00:44:09,600 --> 00:44:13,600 Speaker 2: doesn't take chances, right because that usually doesn't work out 699 00:44:13,640 --> 00:44:18,160 Speaker 2: in your favor. But if a mother is exposed to 700 00:44:18,200 --> 00:44:22,439 Speaker 2: stress and wants to kind of molecularly educate that child, Hey, 701 00:44:22,440 --> 00:44:25,320 Speaker 2: this is a stressful environment. These are the genes that 702 00:44:25,360 --> 00:44:28,799 Speaker 2: are going to help you. That's okay. The child might 703 00:44:28,880 --> 00:44:31,480 Speaker 2: have an advantage if there is a stressful environment. And 704 00:44:31,520 --> 00:44:35,640 Speaker 2: I think evolution predicts that the environment is going to 705 00:44:35,680 --> 00:44:39,480 Speaker 2: be relatively stable because in the past we didn't wander 706 00:44:39,600 --> 00:44:42,400 Speaker 2: very far. You know, our environment pretty much stayed the 707 00:44:42,400 --> 00:44:47,480 Speaker 2: same our entire lives. So that's not the case anymore today. 708 00:44:47,800 --> 00:44:50,319 Speaker 2: And those genes as you said the way they were 709 00:44:50,719 --> 00:44:57,319 Speaker 2: epigenetically modified could now be maladaptive, and evolution doesn't care 710 00:44:57,400 --> 00:45:00,000 Speaker 2: about that as long as the child lives long enough 711 00:45:00,080 --> 00:45:00,640 Speaker 2: to replicate. 712 00:45:05,400 --> 00:45:09,880 Speaker 3: It just evolution doesn't care about you at all, needs 713 00:45:09,960 --> 00:45:11,920 Speaker 3: just about survival of the species. 714 00:45:13,360 --> 00:45:17,440 Speaker 2: Vehicle, doesn't care if you're happy, doesn't care if you 715 00:45:17,800 --> 00:45:20,719 Speaker 2: see rainbows and sunshine. It just wants you to live 716 00:45:20,760 --> 00:45:23,959 Speaker 2: long enough to replicate, and it considers its job well done. 717 00:45:26,160 --> 00:45:30,440 Speaker 1: So like, let's not will switch checked a little bit. 718 00:45:30,680 --> 00:45:32,560 Speaker 1: Let's talk about Ozzy Osbourne. 719 00:45:33,440 --> 00:45:37,400 Speaker 2: Oh yeah, the great Ozzy Osbourne, the man on the 720 00:45:37,440 --> 00:45:38,480 Speaker 2: Crazy Train himself. 721 00:45:38,560 --> 00:45:41,440 Speaker 3: Yeah, so you write about him in your book, tell 722 00:45:41,520 --> 00:45:42,560 Speaker 3: us a little bit about it. 723 00:45:42,640 --> 00:45:43,000 Speaker 1: I did. 724 00:45:43,080 --> 00:45:47,279 Speaker 2: I wrote about Osbourne Surprise in the context of a 725 00:45:47,360 --> 00:45:53,120 Speaker 2: drug and alcohol addiction. And it's a fascinating story because 726 00:45:53,160 --> 00:45:56,719 Speaker 2: most people aren't aware that Ozzy Osbourne was one of 727 00:45:56,800 --> 00:46:00,600 Speaker 2: the first people on the planet to have his genome sequenced. 728 00:46:02,160 --> 00:46:05,120 Speaker 2: He was I don't know exactly where he was, but 729 00:46:05,280 --> 00:46:07,360 Speaker 2: he was up there, like in the top ten percent. 730 00:46:07,600 --> 00:46:07,839 Speaker 1: Wow. 731 00:46:07,880 --> 00:46:12,320 Speaker 2: And it's not because he volunteered. You know, scientists approached him, 732 00:46:12,680 --> 00:46:14,640 Speaker 2: you know, they sought him out as a specimen in 733 00:46:14,719 --> 00:46:23,440 Speaker 2: there a specimen because they purposefully wanted to see what 734 00:46:23,560 --> 00:46:27,440 Speaker 2: kind of genes he has that have kept him alive 735 00:46:28,200 --> 00:46:31,440 Speaker 2: through all that he's put his body through. I'm not 736 00:46:31,600 --> 00:46:34,399 Speaker 2: making that up. That's exactly what their motivation was. They 737 00:46:34,440 --> 00:46:36,920 Speaker 2: wanted to try to learn something about drug and alcohol 738 00:46:36,960 --> 00:46:42,120 Speaker 2: addiction from this guy who's had notorious stories about drug 739 00:46:42,120 --> 00:46:45,560 Speaker 2: and alcohol addiction and has emerged at the end of 740 00:46:45,560 --> 00:46:51,040 Speaker 2: that tunnel relatively unscathed like many people. Scientists were befuddled 741 00:46:51,040 --> 00:46:53,880 Speaker 2: by this, and they wanted to see if sequencing Ozzy 742 00:46:53,920 --> 00:46:58,360 Speaker 2: Osbourne's genome could reveal something. And Ozzy said the funniest things, 743 00:46:58,680 --> 00:47:02,239 Speaker 2: you know, when the scientists approached him, He's like, the 744 00:47:02,280 --> 00:47:05,360 Speaker 2: only gene I knew about was that guy from Kiss. 745 00:47:06,760 --> 00:47:08,200 Speaker 1: Excellent, you know. 746 00:47:08,880 --> 00:47:12,000 Speaker 2: So Ozzy really had no idea what was going on, 747 00:47:12,080 --> 00:47:14,839 Speaker 2: but he was. He played along, and he sent them 748 00:47:15,280 --> 00:47:19,680 Speaker 2: samples of his DNA and scientists sequence it and lo 749 00:47:19,840 --> 00:47:25,760 Speaker 2: and behold, they found never seen mutations in a gene 750 00:47:25,800 --> 00:47:29,799 Speaker 2: called eighth four I believe it was, which produces an 751 00:47:29,920 --> 00:47:35,160 Speaker 2: enzyme that that works in the liver to detoxify alcohol. 752 00:47:35,920 --> 00:47:38,360 Speaker 2: And the way this gene was mutated this is the 753 00:47:38,360 --> 00:47:42,200 Speaker 2: crazy part. It would have produced a ton of this 754 00:47:42,320 --> 00:47:48,120 Speaker 2: ADH four enzyme. So Ozzy Osbourne is genetically engineered to 755 00:47:48,239 --> 00:47:51,880 Speaker 2: process alcohol at a much higher rate than your ordinary 756 00:47:51,920 --> 00:47:53,080 Speaker 2: average human being. 757 00:47:53,360 --> 00:47:59,600 Speaker 3: Apart from half of the Irish population apparently, so alcohol alcohol, 758 00:48:00,080 --> 00:48:01,520 Speaker 3: I'm refining machines. 759 00:48:02,520 --> 00:48:05,600 Speaker 2: Yeah, but the b fair Paul, I would like to 760 00:48:05,640 --> 00:48:09,040 Speaker 2: actually go back usually write a grant to researchers look 761 00:48:09,080 --> 00:48:12,360 Speaker 2: at the Irish population compare it to Ozzy Osbourne and 762 00:48:12,400 --> 00:48:16,880 Speaker 2: see if they share that mutation or that would be interesting. 763 00:48:17,600 --> 00:48:20,440 Speaker 2: And he had some other mutations as well that scientists 764 00:48:20,440 --> 00:48:23,040 Speaker 2: didn't know what to make of back when it was done, because, 765 00:48:23,040 --> 00:48:24,960 Speaker 2: like I said, he was one of the first human 766 00:48:25,000 --> 00:48:29,560 Speaker 2: beings to get his genome sequenced. We have sequenced you know, 767 00:48:30,320 --> 00:48:34,319 Speaker 2: tons more since then over the past twenty years, because 768 00:48:34,360 --> 00:48:36,600 Speaker 2: sequencing has gotten so much easier to do and it's 769 00:48:36,640 --> 00:48:39,400 Speaker 2: so much cheaper. So we have the genomes for hundreds 770 00:48:39,440 --> 00:48:41,799 Speaker 2: of thousands of people now, and we can do what 771 00:48:41,880 --> 00:48:47,759 Speaker 2: are called genome wide assortment studies gwas the genomes of 772 00:48:48,640 --> 00:48:52,040 Speaker 2: you know, literally millions of people, and supercomputers can spit 773 00:48:52,080 --> 00:48:55,400 Speaker 2: out these analyzes that tell us, you know, certain phenotypes 774 00:48:55,440 --> 00:49:01,560 Speaker 2: correlate with these genetic mutations. So I say all that, 775 00:49:01,760 --> 00:49:06,200 Speaker 2: just basically to educate people that one of the most 776 00:49:06,480 --> 00:49:10,040 Speaker 2: common denominators that come out of these genetic studies looking 777 00:49:10,520 --> 00:49:16,440 Speaker 2: at people struggling with alcohol are genetic modifications in what's 778 00:49:16,480 --> 00:49:20,600 Speaker 2: called the GABBA neurotransmitter system in the brain. And for 779 00:49:20,680 --> 00:49:23,319 Speaker 2: those who don't know, GABA is a neurotransmitter or a 780 00:49:23,360 --> 00:49:27,640 Speaker 2: brain chemical that calms the brain down. It basically de 781 00:49:27,840 --> 00:49:32,919 Speaker 2: escalates brain activity, and that's something that's necessary in order 782 00:49:32,960 --> 00:49:36,200 Speaker 2: to sleep and in order to focus in things of 783 00:49:36,239 --> 00:49:38,719 Speaker 2: that nature. And basically, what they're seeing in a lot 784 00:49:38,760 --> 00:49:41,279 Speaker 2: of alcoholics, not all of them, but a lot of them, 785 00:49:41,600 --> 00:49:45,239 Speaker 2: there is some sort of genetic mutation in the regulation 786 00:49:45,560 --> 00:49:48,640 Speaker 2: or the manufacturing of GABBA and how it works, and 787 00:49:48,680 --> 00:49:52,680 Speaker 2: the end result is that these individuals have a hyperactive brain. 788 00:49:53,520 --> 00:49:56,480 Speaker 2: So now things start to make a lot more sense. 789 00:49:56,640 --> 00:50:01,799 Speaker 2: Right If someone has a hyperactive brain and they accidentally 790 00:50:01,840 --> 00:50:04,759 Speaker 2: discover one day when they first try alcohol that, oh 791 00:50:04,800 --> 00:50:07,880 Speaker 2: my god, if I drink this, I feel normal. Brain 792 00:50:07,960 --> 00:50:10,960 Speaker 2: has calmed down. I can sleep at night, I can focus, 793 00:50:11,800 --> 00:50:15,360 Speaker 2: And that's going to be a real short term solution 794 00:50:15,520 --> 00:50:19,440 Speaker 2: because alcohol is an addictive substance, and the more you ingest, 795 00:50:20,360 --> 00:50:22,279 Speaker 2: the more of a tolerance you build up and it 796 00:50:22,400 --> 00:50:25,680 Speaker 2: just leads into this vicious cycle of addiction. But it 797 00:50:25,760 --> 00:50:32,040 Speaker 2: explains very nicely why some alcoholics struggle so much to 798 00:50:33,520 --> 00:50:36,520 Speaker 2: give it up. It's because as soon as they start 799 00:50:36,560 --> 00:50:39,160 Speaker 2: to do so, their brain could kick back into this 800 00:50:39,320 --> 00:50:43,840 Speaker 2: hyperactive mode and it'll just be a downward spiral from there. 801 00:50:44,719 --> 00:50:48,560 Speaker 2: So the bright side to all of that is that 802 00:50:49,120 --> 00:50:54,520 Speaker 2: information is really powerful and it suggests that one we 803 00:50:54,560 --> 00:50:59,520 Speaker 2: shouldn't just be you know, scornful and admonishing and judgmental 804 00:50:59,600 --> 00:51:02,799 Speaker 2: about people who struggle with drug and alcohol addiction. There's 805 00:51:02,840 --> 00:51:06,719 Speaker 2: a real biological basis for why this is happening and 806 00:51:06,800 --> 00:51:09,080 Speaker 2: why it happens to just like ten or twelve percent 807 00:51:09,120 --> 00:51:12,279 Speaker 2: of people. You know, the vast majority of people who 808 00:51:12,360 --> 00:51:16,399 Speaker 2: experiment with drugs or alcohol do not get addicted. Only 809 00:51:16,400 --> 00:51:19,400 Speaker 2: a small subset do. And now we're learning it's because 810 00:51:19,440 --> 00:51:23,719 Speaker 2: they have genetic mutations at key genes that regulate brain activity. 811 00:51:24,400 --> 00:51:30,280 Speaker 2: And that leads us to a new discovery of therapeutics 812 00:51:30,480 --> 00:51:34,000 Speaker 2: that might be able to mimic what Gabba does and 813 00:51:34,320 --> 00:51:38,200 Speaker 2: kind of fill this hole you know that is in 814 00:51:38,280 --> 00:51:42,880 Speaker 2: their character, their molecular character. You know, it'll be able basically, 815 00:51:42,960 --> 00:51:48,680 Speaker 2: it'll be able to treat alcoholism without the resurgence of 816 00:51:48,719 --> 00:51:49,880 Speaker 2: a hyperactive brain. 817 00:51:50,239 --> 00:51:52,680 Speaker 3: Well, I mean, you only have to it's not a 818 00:51:52,800 --> 00:51:57,320 Speaker 3: massive lape to look at. I did a workshop a 819 00:51:57,440 --> 00:52:00,719 Speaker 3: talk last week and with somebody else that they're doing 820 00:52:01,440 --> 00:52:08,120 Speaker 3: another talk who was leading the research on psychedelics for 821 00:52:09,040 --> 00:52:14,280 Speaker 3: mood disorders and getting unbelievable results. So you can see 822 00:52:14,320 --> 00:52:17,239 Speaker 3: that that basically a compound and it's a chemical. 823 00:52:17,400 --> 00:52:18,759 Speaker 1: The chemical structure of. 824 00:52:18,719 --> 00:52:23,960 Speaker 3: That compound, psilocybin or the MDMA can actually and he 825 00:52:24,080 --> 00:52:28,680 Speaker 3: described it as the rocket ship for therapy. Right, So 826 00:52:28,800 --> 00:52:31,640 Speaker 3: it doesn't work in and of itself, but he said 827 00:52:31,719 --> 00:52:38,600 Speaker 3: it absolutely supercharges therapy to change people's brain. And so 828 00:52:38,640 --> 00:52:42,520 Speaker 3: there are just one chemical ingested and the research that 829 00:52:42,719 --> 00:52:47,280 Speaker 3: they were doing was showing one intervention can completely change 830 00:52:47,280 --> 00:52:51,920 Speaker 3: people who no interventions has worked with. They take one 831 00:52:52,760 --> 00:52:56,560 Speaker 3: MDMA or psilocybin assistant therapy and it can have a 832 00:52:56,640 --> 00:53:00,560 Speaker 3: massive effect. Now they're tending to do two or three 833 00:53:00,600 --> 00:53:03,680 Speaker 3: in the therapy lasts longer, but it is just the 834 00:53:05,120 --> 00:53:08,480 Speaker 3: potential for a therapeutic to change the brain. 835 00:53:08,640 --> 00:53:12,080 Speaker 1: So much so that opens the door. 836 00:53:11,680 --> 00:53:14,400 Speaker 3: To the stuff that you were saying, And let's do 837 00:53:14,440 --> 00:53:18,080 Speaker 3: another little pivot and talk about something that's a very 838 00:53:18,200 --> 00:53:23,160 Speaker 3: hot button in your country right now, which is political beliefs. 839 00:53:23,400 --> 00:53:26,480 Speaker 2: Right So what you know, maybe a little bit of 840 00:53:26,480 --> 00:53:28,239 Speaker 2: a hot but maybe a little. 841 00:53:29,600 --> 00:53:30,319 Speaker 3: Wow is. 842 00:53:31,800 --> 00:53:31,960 Speaker 1: This? 843 00:53:32,239 --> 00:53:35,200 Speaker 3: I mean, is there something around in the water that 844 00:53:35,360 --> 00:53:39,200 Speaker 3: is making people more diametrically opposed? 845 00:53:39,200 --> 00:53:41,960 Speaker 1: But what in general. 846 00:53:41,760 --> 00:53:45,719 Speaker 3: Does our biology have to do with our political beliefs? 847 00:53:45,760 --> 00:53:48,719 Speaker 3: Because there is a massive experiment going on right now. 848 00:53:49,120 --> 00:53:53,479 Speaker 2: Really, you know, that's that's the billion dollar question, Paul. 849 00:53:53,520 --> 00:53:56,840 Speaker 2: And if I had an answer to that, well, I 850 00:53:57,120 --> 00:53:59,680 Speaker 2: would love to put it into practice, because we can't 851 00:54:00,280 --> 00:54:02,359 Speaker 2: what we have going on right now, and it's not 852 00:54:02,400 --> 00:54:06,080 Speaker 2: just our country, maybe maybe our country to an amplified degree, 853 00:54:06,920 --> 00:54:10,480 Speaker 2: but this hyper polarization and this whole US versus them, 854 00:54:10,960 --> 00:54:14,359 Speaker 2: this this ship's got to stop. Yeah, I mean, I'm 855 00:54:14,360 --> 00:54:15,440 Speaker 2: sorry if I can't. 856 00:54:15,239 --> 00:54:15,520 Speaker 3: Say that. 857 00:54:18,160 --> 00:54:24,560 Speaker 2: Past, but but it's it's the most frustrating because there 858 00:54:24,640 --> 00:54:31,879 Speaker 2: are organizations that are profiting massively by dividing people, by 859 00:54:31,920 --> 00:54:35,480 Speaker 2: misinforming people. And what we as a group, and this 860 00:54:35,600 --> 00:54:39,239 Speaker 2: is on us, have forgotten is that hey, we're all 861 00:54:39,280 --> 00:54:42,440 Speaker 2: Americans and we should recognize when there is an entity 862 00:54:42,480 --> 00:54:45,959 Speaker 2: out there that it's trying to divide us. Okay, that's 863 00:54:46,000 --> 00:54:48,960 Speaker 2: the enemy, not you and me. You know, the enemy 864 00:54:49,000 --> 00:54:51,919 Speaker 2: is trying to divide us. But that's neither here there. 865 00:54:52,800 --> 00:54:57,960 Speaker 2: Like you were asking, there are biological explanations for all 866 00:54:58,000 --> 00:55:02,160 Speaker 2: sorts of behavior. Politics is not excluded from that realm. 867 00:55:02,200 --> 00:55:04,120 Speaker 2: That was like the what I was trying to make. 868 00:55:04,160 --> 00:55:06,680 Speaker 2: The main takeaway of my book is that no matter 869 00:55:06,719 --> 00:55:09,440 Speaker 2: how bizarre unusual you think the behavior is, there's a 870 00:55:09,480 --> 00:55:13,920 Speaker 2: biological basis for it. There's no magic or supernatural element 871 00:55:14,000 --> 00:55:17,319 Speaker 2: to this. And if we can discover what that biological 872 00:55:17,320 --> 00:55:20,319 Speaker 2: basis is, that gives us a foothold on how to 873 00:55:20,360 --> 00:55:24,800 Speaker 2: proceed forward. It also helps generate compassion because people can't 874 00:55:24,840 --> 00:55:27,400 Speaker 2: help who they are. You know, you don't get the 875 00:55:27,440 --> 00:55:29,719 Speaker 2: shop for your genes. You don't get the shop for 876 00:55:29,800 --> 00:55:33,239 Speaker 2: your prenatal environment or the environment you were exposed to 877 00:55:33,280 --> 00:55:35,640 Speaker 2: as a child. You have no say in that matter. 878 00:55:36,080 --> 00:55:36,239 Speaker 1: You know. 879 00:55:36,320 --> 00:55:39,000 Speaker 2: It's like, you know, you didn't get to pick your language. Yeah, 880 00:55:39,040 --> 00:55:40,879 Speaker 2: you know, why should I hate you because you don't 881 00:55:40,880 --> 00:55:43,680 Speaker 2: speak my language? You know, you have no control over that. 882 00:55:44,560 --> 00:55:46,319 Speaker 2: So I think we got to take a step back 883 00:55:46,360 --> 00:55:49,680 Speaker 2: in a time out, you know, sober up and you know, 884 00:55:50,520 --> 00:55:54,040 Speaker 2: talk ourselves down from these partisan ledges, if you will, 885 00:55:54,680 --> 00:55:57,200 Speaker 2: and get back in touch with our common humanity. I 886 00:55:57,200 --> 00:55:59,960 Speaker 2: think that's the only way forward to solve this critical, 887 00:56:00,280 --> 00:56:04,840 Speaker 2: critical problem. But getting back to the biology you spoke 888 00:56:04,920 --> 00:56:09,399 Speaker 2: before about dopamine. Really interesting study that goes to these 889 00:56:09,480 --> 00:56:13,360 Speaker 2: g WADS analyzes where scientists look at the genomes between 890 00:56:13,440 --> 00:56:16,400 Speaker 2: people who are on the far right and the far left. 891 00:56:17,040 --> 00:56:20,759 Speaker 2: And one interesting thing did pop out of those analyzes 892 00:56:20,800 --> 00:56:23,880 Speaker 2: that has a pretty good that has pretty good statistical power, 893 00:56:24,560 --> 00:56:29,120 Speaker 2: is that there's a dopamine receptor that is different in 894 00:56:29,239 --> 00:56:33,560 Speaker 2: people on the far left who would be liberals, and 895 00:56:33,640 --> 00:56:37,320 Speaker 2: the way this dopamine receptor is modified. All the details 896 00:56:37,320 --> 00:56:41,120 Speaker 2: aren't worked out yet, but the correlation's pretty strong is 897 00:56:41,120 --> 00:56:46,640 Speaker 2: that those individuals would have greater thrill seeking activity. They 898 00:56:46,760 --> 00:56:49,400 Speaker 2: need a larger dopamine hit in order to feel the 899 00:56:49,440 --> 00:56:55,399 Speaker 2: pleasure that say, normal people would feel from a lesser experience. 900 00:56:56,080 --> 00:57:00,440 Speaker 2: So that would be behavior that's more consistent with what 901 00:57:00,520 --> 00:57:03,680 Speaker 2: you see in your trademark liberal. Okay, they tend to 902 00:57:03,800 --> 00:57:07,279 Speaker 2: be higher risk takers, they tend to explore more, they 903 00:57:07,320 --> 00:57:12,920 Speaker 2: tend to be open to new experiences and new cultures, 904 00:57:12,960 --> 00:57:15,400 Speaker 2: and you know, there was a personality traits that you 905 00:57:15,400 --> 00:57:19,919 Speaker 2: would associate with liberalism, So that mutation might explain one 906 00:57:20,040 --> 00:57:24,640 Speaker 2: why liberals exist and two why humans started exploring around 907 00:57:24,680 --> 00:57:26,919 Speaker 2: the world. You know, it might go all the way 908 00:57:26,960 --> 00:57:30,480 Speaker 2: back to why we started migrating out of Africa in 909 00:57:30,640 --> 00:57:34,600 Speaker 2: the first place. So it's a really fascinating dichotomy, and 910 00:57:34,640 --> 00:57:39,520 Speaker 2: it's just one of the few genetic variants that seem 911 00:57:39,600 --> 00:57:44,640 Speaker 2: to exist between far left and far right individuals. Now 912 00:57:44,640 --> 00:57:50,040 Speaker 2: there's also brain differences between liberals and conservatives, some of 913 00:57:50,080 --> 00:57:53,400 Speaker 2: which may have a genetic basis, But the end result 914 00:57:53,600 --> 00:57:56,680 Speaker 2: is that scientists can look at a brain scan of 915 00:57:56,960 --> 00:58:00,880 Speaker 2: an individual they don't know anything about, and with about 916 00:58:00,920 --> 00:58:04,320 Speaker 2: seventy five percent accuracy, they can predict whether that person's 917 00:58:04,360 --> 00:58:07,880 Speaker 2: a liberal or a conservative. And you know what it 918 00:58:07,880 --> 00:58:11,080 Speaker 2: boils down to. You mentioned it earlier. It's the size 919 00:58:11,120 --> 00:58:15,560 Speaker 2: of the amygdalo wow, which tends to be larger in conservatives, okay, 920 00:58:15,600 --> 00:58:20,640 Speaker 2: which means they have a greater capacity to sense threats 921 00:58:20,920 --> 00:58:24,160 Speaker 2: and they have a greater concern that something might be dangerous, 922 00:58:25,000 --> 00:58:29,080 Speaker 2: whereas liberals would not have that grave of a concern. 923 00:58:30,040 --> 00:58:35,680 Speaker 2: Where liberal's brain differs is I'm blanking on the region 924 00:58:35,760 --> 00:58:38,880 Speaker 2: of the brain, but it's one of the analytical sections. 925 00:58:39,520 --> 00:58:44,840 Speaker 2: So liberals will tend to see the complexity in problems 926 00:58:44,880 --> 00:58:49,880 Speaker 2: and try to figure out, you know, evaluate the situation, 927 00:58:50,360 --> 00:58:53,400 Speaker 2: you know, with a little more logical reason rather than 928 00:58:53,480 --> 00:58:57,440 Speaker 2: fear and emotion. And I'm not saying either one of 929 00:58:57,480 --> 00:58:59,880 Speaker 2: those approaches is better or worse. You know, in my 930 00:59:00,120 --> 00:59:03,600 Speaker 2: deal world, if you're thinking about small tribes where we evolved, 931 00:59:03,840 --> 00:59:05,600 Speaker 2: you know, one hundred and fifty to two hundred people, 932 00:59:06,240 --> 00:59:09,600 Speaker 2: it would be advantageous to have one half who are 933 00:59:09,640 --> 00:59:12,280 Speaker 2: really good at threat detection, and then maybe the other 934 00:59:12,320 --> 00:59:14,760 Speaker 2: half who are really good at evaluating that threat. 935 00:59:14,960 --> 00:59:16,680 Speaker 1: Yeah. Nice, I like that, you know. 936 00:59:17,080 --> 00:59:21,320 Speaker 2: Working together to try to you know, hey, that's a 937 00:59:21,320 --> 00:59:24,840 Speaker 2: good possibility. Let's think about it. Yes it is a threat, 938 00:59:25,000 --> 00:59:27,600 Speaker 2: No it's not, and then move forward. So I think 939 00:59:27,640 --> 00:59:30,440 Speaker 2: that might be one of the explanations why evolution has 940 00:59:30,480 --> 00:59:33,280 Speaker 2: kind of built this dichotomy into our society and we're 941 00:59:33,320 --> 00:59:35,440 Speaker 2: not taking advantage of it. Instead we're using it to 942 00:59:35,480 --> 00:59:35,959 Speaker 2: turn on. 943 00:59:35,840 --> 00:59:41,959 Speaker 3: One Well, it's also a potential explanation about how one 944 00:59:42,040 --> 00:59:46,680 Speaker 3: side is being massively motivated by somebody who is around 945 00:59:46,720 --> 00:59:51,560 Speaker 3: generating fear and actually playing beautifully into that. 946 00:59:51,680 --> 00:59:52,120 Speaker 1: He's not the. 947 00:59:52,040 --> 00:59:53,960 Speaker 3: First, Right, he's not the first you lik in, not 948 00:59:54,040 --> 00:59:59,240 Speaker 3: the first different countries around more right wing stuff. It's 949 00:59:59,520 --> 01:00:03,760 Speaker 3: all he's driven around the messaging that rallies them. It's 950 01:00:03,800 --> 01:00:06,040 Speaker 3: always around fear and threat Right. 951 01:00:06,440 --> 01:00:09,400 Speaker 2: You're right, those are very potent motivators. 952 01:00:09,840 --> 01:00:11,600 Speaker 1: Wow, bloody interesting. 953 01:00:12,040 --> 01:00:17,080 Speaker 3: So tell me this, Like, so, as you're discovering all 954 01:00:17,160 --> 01:00:20,040 Speaker 3: this stuff, and I can I can hear in you 955 01:00:20,120 --> 01:00:23,120 Speaker 3: that a lot of the discoveries that you have made, 956 01:00:23,560 --> 01:00:26,480 Speaker 3: it actually made you sort of sit back and look 957 01:00:26,520 --> 01:00:30,439 Speaker 3: at things a bit more objectively and go, wow, we 958 01:00:30,480 --> 01:00:34,120 Speaker 3: need to have a bit more compassion about this people, 959 01:00:34,160 --> 01:00:36,520 Speaker 3: these people, and these people and these people and these people. 960 01:00:36,560 --> 01:00:40,840 Speaker 3: But how does that, aside from that, how does all 961 01:00:40,880 --> 01:00:43,840 Speaker 3: of this knowledge help us to live better lives? 962 01:00:45,600 --> 01:00:48,800 Speaker 2: Yeah? That's that was one of the main takeaways I 963 01:00:48,920 --> 01:00:51,280 Speaker 2: had in the process of writing this book. Exactly like 964 01:00:51,320 --> 01:00:53,640 Speaker 2: you said, I was blown away by some of the 965 01:00:53,680 --> 01:00:55,840 Speaker 2: science that's out there, some of the studies that have 966 01:00:55,920 --> 01:01:00,360 Speaker 2: been done that are shining a light onto these hidden 967 01:01:00,400 --> 01:01:04,240 Speaker 2: forces that are governing or influencing our behavior in ways 968 01:01:04,280 --> 01:01:08,240 Speaker 2: that we have no idea that it's even happening. And yes, 969 01:01:08,280 --> 01:01:11,240 Speaker 2: it might bring up some unsettling questions with regard to 970 01:01:11,480 --> 01:01:14,920 Speaker 2: free will and things like that. But I look at 971 01:01:15,000 --> 01:01:18,320 Speaker 2: it more from a half glass, half full perspective and 972 01:01:18,360 --> 01:01:21,640 Speaker 2: that this knowledge is powerful. You know, if we know 973 01:01:21,760 --> 01:01:26,720 Speaker 2: that certain genes produce undesirable behaviors, we now have the 974 01:01:26,760 --> 01:01:30,880 Speaker 2: technology or you know, it's the advent of Crisper and 975 01:01:30,960 --> 01:01:34,919 Speaker 2: gene editing might be able to eradicate some of these 976 01:01:34,960 --> 01:01:38,760 Speaker 2: genetic defects that cause anomalist behaviors, just like we're using 977 01:01:39,200 --> 01:01:42,920 Speaker 2: Crisper and gene editing to cure sickle cell anemia right now. 978 01:01:43,440 --> 01:01:48,200 Speaker 2: You know, it's a wonderful time to be alive and 979 01:01:48,240 --> 01:01:52,200 Speaker 2: to see how the power of genetics can be utilized 980 01:01:52,200 --> 01:01:56,680 Speaker 2: for human benefit. Epigenetics is the same way. Scientists are 981 01:01:56,720 --> 01:02:01,520 Speaker 2: busy making epigenetic drugs that can either posit methylation marks 982 01:02:01,600 --> 01:02:04,520 Speaker 2: or remove them. And now that we have Crisper, we 983 01:02:04,600 --> 01:02:09,200 Speaker 2: can probably target those modification marks to very specific genes 984 01:02:09,800 --> 01:02:14,160 Speaker 2: and not have like off target effects. And then you know, 985 01:02:14,240 --> 01:02:20,120 Speaker 2: we talked about maybe fixing transgenerational epigenetic inheritance with tools 986 01:02:20,200 --> 01:02:23,240 Speaker 2: like that. And the more we learn, the more we 987 01:02:23,280 --> 01:02:27,000 Speaker 2: do these psychology experiments and learn how humans respond to 988 01:02:27,040 --> 01:02:30,800 Speaker 2: different stimuli and different environments. We can move forward with that. 989 01:02:31,520 --> 01:02:36,760 Speaker 2: And it's a little frustrating because it's such common sense that, yes, 990 01:02:36,880 --> 01:02:41,760 Speaker 2: we need to provide children with outstanding, exceptional environments. You know, 991 01:02:41,840 --> 01:02:44,560 Speaker 2: we can need to remove them from situations that subject 992 01:02:44,640 --> 01:02:48,400 Speaker 2: them from bullying and abuse and put them into encouraging 993 01:02:48,480 --> 01:02:52,200 Speaker 2: environments where they can be curious and learn and grow 994 01:02:52,320 --> 01:02:55,680 Speaker 2: up without you know, fear and paranoia. There was a 995 01:02:55,960 --> 01:02:58,640 Speaker 2: very basic common sense things to do. And now we 996 01:02:58,720 --> 01:03:02,240 Speaker 2: have the biological evidence that suggest that, Look, if we 997 01:03:02,280 --> 01:03:04,760 Speaker 2: don't get our act together as a society and we 998 01:03:04,840 --> 01:03:08,000 Speaker 2: don't invest in these poor children, they're going to grow 999 01:03:08,080 --> 01:03:08,800 Speaker 2: up to be a problem. 1000 01:03:09,080 --> 01:03:09,680 Speaker 1: Absolutely. 1001 01:03:10,520 --> 01:03:11,360 Speaker 2: Why wait for that? 1002 01:03:11,800 --> 01:03:12,000 Speaker 1: Why? 1003 01:03:12,240 --> 01:03:14,920 Speaker 2: And to me, it's just from a from a humane perspective. 1004 01:03:15,600 --> 01:03:18,480 Speaker 2: You know, we can give all these millions of dollars 1005 01:03:18,560 --> 01:03:21,720 Speaker 2: to all these violent activities that the world's engaged in, 1006 01:03:23,080 --> 01:03:25,680 Speaker 2: or we can invest it in poor people. But no, 1007 01:03:26,000 --> 01:03:29,160 Speaker 2: in America, it's pull yourself up by your bootstraps, right, 1008 01:03:29,680 --> 01:03:31,920 Speaker 2: you should be able to get out of poverty. And 1009 01:03:32,000 --> 01:03:35,160 Speaker 2: I'm just like, all right, you think about that for 1010 01:03:35,200 --> 01:03:42,480 Speaker 2: a yeah, exactly, you read my mind. Just like we 1011 01:03:42,520 --> 01:03:45,400 Speaker 2: said at the outset, Paul, there are many different yous 1012 01:03:45,520 --> 01:03:49,040 Speaker 2: in your genome, different versions of you. And someone who's 1013 01:03:49,080 --> 01:03:52,280 Speaker 2: criticizing a poor person because they can't get out of poverty. 1014 01:03:53,680 --> 01:03:57,040 Speaker 2: Let's put your genome into that body and that environment, 1015 01:03:57,280 --> 01:03:59,400 Speaker 2: and let's see how you do. And if you do 1016 01:03:59,480 --> 01:04:02,240 Speaker 2: that simple thought experiment, I think that would be sufficient 1017 01:04:02,280 --> 01:04:06,560 Speaker 2: for a reasonable reasonable person to say, you know, I 1018 01:04:06,680 --> 01:04:11,160 Speaker 2: really haven't been very compassionate or smart about this. You know, 1019 01:04:11,240 --> 01:04:13,320 Speaker 2: we really do need to be a little more humane 1020 01:04:13,320 --> 01:04:16,320 Speaker 2: and how we treat other people who are different than us. 1021 01:04:16,520 --> 01:04:16,920 Speaker 1: Yeah. 1022 01:04:16,960 --> 01:04:20,120 Speaker 3: Absolutely, to tell me this, But what are you excited 1023 01:04:20,120 --> 01:04:25,600 Speaker 3: about from with the future and particularly with emerging technologies 1024 01:04:25,640 --> 01:04:26,720 Speaker 3: and AI and. 1025 01:04:26,600 --> 01:04:28,720 Speaker 2: All of that in your world. 1026 01:04:29,520 --> 01:04:33,120 Speaker 3: Is there anything that you're particularly excited about right now? 1027 01:04:34,720 --> 01:04:40,280 Speaker 2: Well, coming from a genetics background, I am really excited 1028 01:04:40,320 --> 01:04:43,120 Speaker 2: about the power for gene editing, but I also go 1029 01:04:43,240 --> 01:04:45,800 Speaker 2: into it with a little trepidation. I feel the same 1030 01:04:45,800 --> 01:04:48,800 Speaker 2: way about AI. I think it can be a marvelous tool, 1031 01:04:50,200 --> 01:04:53,600 Speaker 2: but it can also I can also foresee how it 1032 01:04:53,640 --> 01:04:58,640 Speaker 2: could radically change society. So, like with respect to gene editing, 1033 01:04:59,400 --> 01:05:02,439 Speaker 2: the compromise that forms in my mind is that yes, 1034 01:05:02,520 --> 01:05:06,720 Speaker 2: it should be used for you know, like inherited blindness, 1035 01:05:07,280 --> 01:05:11,320 Speaker 2: or to rid a family of generations of Huntington's disease, 1036 01:05:11,760 --> 01:05:13,720 Speaker 2: or to cure sickle cell anemia. I think those are 1037 01:05:13,760 --> 01:05:15,959 Speaker 2: no brainers. If we have the power to fix those, 1038 01:05:16,600 --> 01:05:18,400 Speaker 2: I think it would be inhumane not to do it. 1039 01:05:19,960 --> 01:05:22,480 Speaker 2: But when you get people who are saying they want 1040 01:05:22,480 --> 01:05:24,840 Speaker 2: to tweak this or that gene because it's been linked 1041 01:05:24,880 --> 01:05:28,479 Speaker 2: to improving memory or learning, that's where we get into 1042 01:05:28,560 --> 01:05:33,360 Speaker 2: a really dangerous area because we don't know enough about 1043 01:05:33,440 --> 01:05:38,480 Speaker 2: how genetic networks integrate themselves to produce those sorts of activities. 1044 01:05:38,960 --> 01:05:41,400 Speaker 2: And we do see in some mouse models as well 1045 01:05:41,400 --> 01:05:45,040 Speaker 2: as in humans who have off the charts intelligence. There's 1046 01:05:45,080 --> 01:05:48,600 Speaker 2: trade offs. You know, if you make these tweaks, like 1047 01:05:48,640 --> 01:05:51,280 Speaker 2: in a mouse model, for example, to make them enhanced 1048 01:05:51,320 --> 01:05:56,040 Speaker 2: with respect to memory or learning, they're not as social 1049 01:05:56,080 --> 01:05:59,680 Speaker 2: as they used to be. Interesting, there's something different about them, 1050 01:06:00,080 --> 01:06:03,640 Speaker 2: and it just is a warning for us to be 1051 01:06:03,920 --> 01:06:06,880 Speaker 2: to proceed with costion when we make a when we 1052 01:06:06,920 --> 01:06:09,440 Speaker 2: make a change in a gene that's linked to a 1053 01:06:09,440 --> 01:06:13,360 Speaker 2: behavior or personality trait, we could be changing something else 1054 01:06:13,440 --> 01:06:14,880 Speaker 2: that might not be very. 1055 01:06:14,720 --> 01:06:20,240 Speaker 1: Desirable unintended consequences. Right because gene genes have more that. 1056 01:06:20,560 --> 01:06:25,120 Speaker 3: We're complex, very very complex ecosystems. 1057 01:06:25,360 --> 01:06:30,240 Speaker 2: And absolutely, and they don't work in isolation, like you said, 1058 01:06:30,560 --> 01:06:33,520 Speaker 2: They work with an environment, and a gene mutation in 1059 01:06:33,520 --> 01:06:36,560 Speaker 2: one environment may be great, but it might be horrible 1060 01:06:36,600 --> 01:06:37,520 Speaker 2: in another environment. 1061 01:06:37,680 --> 01:06:37,960 Speaker 1: Yeah. 1062 01:06:37,960 --> 01:06:42,640 Speaker 3: Absolutely, Bill, this has been absolutely brilliant, fascinating. 1063 01:06:42,680 --> 01:06:44,200 Speaker 1: I love the conversation. 1064 01:06:45,280 --> 01:06:48,160 Speaker 2: It's been a blasphemy. You've asked some excellent questions. 1065 01:06:48,000 --> 01:06:51,000 Speaker 1: So please to meet me. Is the name of the book? 1066 01:06:51,920 --> 01:06:53,640 Speaker 1: Where do people go to get it? 1067 01:06:53,760 --> 01:06:56,520 Speaker 3: And is there are other places where they can follow 1068 01:06:56,600 --> 01:06:59,959 Speaker 3: you and your work? And just where are we saying people? 1069 01:07:01,200 --> 01:07:04,400 Speaker 2: Yeah, they can buy the book anywhere. It's sold on 1070 01:07:04,560 --> 01:07:08,880 Speaker 2: Amazon and all sorts of bookstores, and you can learn 1071 01:07:08,880 --> 01:07:12,520 Speaker 2: more about the book. Follow additional articles that I've written 1072 01:07:12,800 --> 01:07:15,600 Speaker 2: that are related to the book at author Bill Sullivan 1073 01:07:15,680 --> 01:07:16,520 Speaker 2: dot com. 1074 01:07:16,680 --> 01:07:18,720 Speaker 1: Author Bill Sullivan dot com. 1075 01:07:18,800 --> 01:07:22,880 Speaker 3: Okay, get on at people, and your next book purchase 1076 01:07:23,000 --> 01:07:26,960 Speaker 3: should be pleased to meet me by Professor Bill Sullivan. 1077 01:07:27,200 --> 01:07:31,920 Speaker 1: Bill, this has been bloody awesome. Thanks very much, Ben, Oh. 1078 01:07:31,800 --> 01:07:36,920 Speaker 2: Thanks Paul. I had a blast