1 00:00:00,080 --> 00:00:15,040 Speaker 1: Oh Gromberg podcast. Hey listeners, Yeah, you guys, the good guys. 2 00:00:16,079 --> 00:00:19,239 Speaker 1: Whether you're sitting in a palace or a hut or 3 00:00:19,280 --> 00:00:23,880 Speaker 1: a spaceship, I'm talking to you asking the questions that 4 00:00:24,120 --> 00:00:27,840 Speaker 1: you've been afraid to ask, the real tricky stuff like 5 00:00:28,480 --> 00:00:31,560 Speaker 1: why do tears fall when I watched Terms of Endearment? 6 00:00:32,320 --> 00:00:34,879 Speaker 1: Why do I giggle when I'm tickled by the feathers 7 00:00:34,920 --> 00:00:38,919 Speaker 1: of my exotic birds? Why does laughter come when I 8 00:00:38,960 --> 00:00:44,200 Speaker 1: watched Carolina fall down steps four years ago? But Carolina, 9 00:00:44,280 --> 00:00:48,720 Speaker 1: we laughed so hard in front of you. But also 10 00:00:48,800 --> 00:00:51,440 Speaker 1: after you left, there were some great imitations in the 11 00:00:51,520 --> 00:00:53,760 Speaker 1: office of what you look like. I actually got a 12 00:00:53,760 --> 00:00:57,000 Speaker 1: concussion and I actually had questions like why do I 13 00:00:57,040 --> 00:01:00,880 Speaker 1: forget my nightmares? Why do I remember what my granny 14 00:01:00,960 --> 00:01:04,840 Speaker 1: had inside her blue robe? What did your granny have 15 00:01:04,880 --> 00:01:08,680 Speaker 1: inside her blue robe? Tits in a butt? She flashed 16 00:01:08,680 --> 00:01:12,120 Speaker 1: me by accident. It was a long time ago, by accident. 17 00:01:12,240 --> 00:01:14,760 Speaker 1: What happened, Well, I was a young kid. I was 18 00:01:14,800 --> 00:01:17,640 Speaker 1: just taking the trash out and she was grabbing the mail, 19 00:01:17,680 --> 00:01:21,840 Speaker 1: and she looked at me, slowly opened her robe and 20 00:01:21,880 --> 00:01:25,119 Speaker 1: then shut it and went inside that I don't think 21 00:01:25,120 --> 00:01:27,640 Speaker 1: that was by accident then sounds like she just flashed you. 22 00:01:28,520 --> 00:01:31,920 Speaker 1: Mm hmm. Well let's add that to my list of questions. 23 00:01:32,840 --> 00:01:37,360 Speaker 1: Why did my grandmother flash me? Why are people color blind? 24 00:01:38,280 --> 00:01:41,520 Speaker 1: Why does Baxter have night tares? So I'm sorry, who 25 00:01:41,520 --> 00:01:43,760 Speaker 1: are these questions for? Because there's a lot of them. 26 00:01:43,840 --> 00:01:47,040 Speaker 1: I've got another question? Why does it take Carolina so 27 00:01:47,120 --> 00:01:51,880 Speaker 1: long to get the point? Today we're talking to a 28 00:01:52,040 --> 00:01:56,080 Speaker 1: real life brain scientist to get all those answers, and 29 00:01:56,120 --> 00:01:59,360 Speaker 1: then some we'll learn the inner workings of the mind, 30 00:02:00,080 --> 00:02:05,000 Speaker 1: that dark, cavernous space we rarely go. We use our 31 00:02:05,040 --> 00:02:07,880 Speaker 1: minds to think, but we never use our minds to 32 00:02:08,040 --> 00:02:12,160 Speaker 1: think about our minds. I don't know. Isn't that what 33 00:02:12,320 --> 00:02:15,720 Speaker 1: therapy is or self help books are for. I think 34 00:02:15,760 --> 00:02:18,560 Speaker 1: we actually do think about the inner workings of our minds, 35 00:02:18,639 --> 00:02:21,359 Speaker 1: and I think we don't. And it is my show. 36 00:02:22,120 --> 00:02:26,040 Speaker 1: You know that phrase, it's not brain science, Well this 37 00:02:26,320 --> 00:02:33,400 Speaker 1: is brain science, actually the phrases. It's not rocket science. Carolina. 38 00:02:33,480 --> 00:02:36,960 Speaker 1: Can I talk to you for a second over here? Yeah? Sure, okay, 39 00:02:36,960 --> 00:02:43,600 Speaker 1: thank you. What is your deal, lady? I'm just trying 40 00:02:43,639 --> 00:02:45,920 Speaker 1: to make sure what you're saying is accurate and coming 41 00:02:46,000 --> 00:02:49,280 Speaker 1: off as a real you know what, Ron, I'm sorry. 42 00:02:49,440 --> 00:02:53,760 Speaker 1: It's just that you're sorry. Yes, can we just make 43 00:02:53,800 --> 00:02:56,360 Speaker 1: a pact that for the rest of the day, whatever 44 00:02:56,400 --> 00:03:01,440 Speaker 1: I say, Okay, whatever you think of it, whatever your 45 00:03:01,520 --> 00:03:03,440 Speaker 1: judgment is going to be, you just agree with me 46 00:03:03,480 --> 00:03:05,560 Speaker 1: a right, even if you think, oh, it's so dumb, 47 00:03:05,720 --> 00:03:09,160 Speaker 1: run or it's so weird, or oh look, I have 48 00:03:09,240 --> 00:03:11,560 Speaker 1: a bookshelf and I know how to use a compass 49 00:03:12,000 --> 00:03:15,360 Speaker 1: um and if I done, is this gonna affect my salary? 50 00:03:15,880 --> 00:03:20,840 Speaker 1: It absolutely will affect yourself. Great, okay, okay, fine, just 51 00:03:21,040 --> 00:03:24,240 Speaker 1: go with the flow. All right, I'll just agree today. 52 00:03:24,400 --> 00:03:27,480 Speaker 1: What's the name of the podcast? But then bury podcast 53 00:03:27,560 --> 00:03:31,400 Speaker 1: it's not called the Carolina Podcast. Is no need because 54 00:03:31,919 --> 00:03:35,840 Speaker 1: it's my podcast, and just support me. I want to 55 00:03:35,880 --> 00:03:43,280 Speaker 1: feel supported. You're supported. I'm gonn support Okay to our listeners. 56 00:03:43,280 --> 00:03:47,320 Speaker 1: Sorry for the pause. Carolina and I had a meeting 57 00:03:47,960 --> 00:03:54,560 Speaker 1: about accounting. Yeah, just a quick meaning to discuss some disagreements. 58 00:03:55,400 --> 00:03:59,520 Speaker 1: Today we're sitting down with a brain scientist, Dr Milstein. 59 00:04:00,200 --> 00:04:04,080 Speaker 1: He's smarter than almost all of us. I promise there 60 00:04:04,120 --> 00:04:06,839 Speaker 1: is a strong chance that if you're listening to this, 61 00:04:07,680 --> 00:04:10,840 Speaker 1: he's smarter than you. And if that pisces. You off, 62 00:04:11,320 --> 00:04:14,480 Speaker 1: I get it made me a little angry just thinking 63 00:04:14,480 --> 00:04:18,440 Speaker 1: about it. I mean, he's not smarter than me. God, 64 00:04:18,480 --> 00:04:22,479 Speaker 1: I'm getting angry again. All right, Ron, try to be 65 00:04:22,520 --> 00:04:26,120 Speaker 1: a professional, you know what. Nick cut to commercial. I've 66 00:04:26,160 --> 00:04:39,280 Speaker 1: got to go scream this out and we're back. You're 67 00:04:39,279 --> 00:04:43,039 Speaker 1: listening to the Ron Burgundy podcast. And I'm on a 68 00:04:43,080 --> 00:04:47,760 Speaker 1: mood stabilizer. So I feel much better. Um here we 69 00:04:47,839 --> 00:04:51,680 Speaker 1: are with a real life brainiac in the studio. Dr Milstein, 70 00:04:52,200 --> 00:04:56,159 Speaker 1: the brain scientist. He knows what's inside your brain. Pretty 71 00:04:56,160 --> 00:04:59,240 Speaker 1: crazy stuff. How are you, Dr Millhouse, I'm doing good. 72 00:04:59,279 --> 00:05:01,599 Speaker 1: It's actually el Stein, but thank you, thanks for having me. 73 00:05:02,360 --> 00:05:07,599 Speaker 1: You know what I wrote that incorrectly? Doctor? What exactly 74 00:05:07,760 --> 00:05:11,720 Speaker 1: is your official title? So I am a scientist, and 75 00:05:11,800 --> 00:05:14,240 Speaker 1: so what I do now is I take a lot 76 00:05:14,279 --> 00:05:17,600 Speaker 1: of the latest cutting edge studies, things that are being discovered, 77 00:05:18,080 --> 00:05:20,160 Speaker 1: and analyze them and try to get them out to 78 00:05:20,560 --> 00:05:23,400 Speaker 1: doctors and people who want to know about how to 79 00:05:23,720 --> 00:05:26,400 Speaker 1: live better, how to optimize their brain, keep it healthy. 80 00:05:26,520 --> 00:05:29,039 Speaker 1: So you're not a physician, no, not a physician, scientist, 81 00:05:30,480 --> 00:05:34,920 Speaker 1: but if like I had a heart attack right now, 82 00:05:34,960 --> 00:05:37,080 Speaker 1: you could save You have some medical training, you could 83 00:05:37,080 --> 00:05:40,640 Speaker 1: save my life. I would probably call nine and maybe 84 00:05:41,000 --> 00:05:45,599 Speaker 1: attempts CPR. All right, have you ever taken a CPR class? 85 00:05:45,640 --> 00:05:49,200 Speaker 1: I did? I did? Yes in college, Carolina. Have you yeah? 86 00:05:49,240 --> 00:05:54,240 Speaker 1: You asked me too? Okay, good? Um, let me ask 87 00:05:54,279 --> 00:05:57,400 Speaker 1: you this question. I know there's a lot of information 88 00:05:57,640 --> 00:06:02,400 Speaker 1: on the amount of sleep we get, right, So why 89 00:06:02,440 --> 00:06:05,400 Speaker 1: do I need fourteen hours of sleep every night? Is that? 90 00:06:05,480 --> 00:06:07,640 Speaker 1: Do you get fourteen hours of sleep at least? At 91 00:06:07,720 --> 00:06:11,080 Speaker 1: least that's a lot of sleep. That's uh, you might 92 00:06:11,080 --> 00:06:13,279 Speaker 1: want to would you say that's a borderline too much? 93 00:06:13,400 --> 00:06:15,440 Speaker 1: I would say that would be a concern. Oh, I 94 00:06:15,480 --> 00:06:17,839 Speaker 1: thought I was doing great. Yet You'll always say I 95 00:06:17,880 --> 00:06:19,800 Speaker 1: need to make sure I get my fourteen and I'll 96 00:06:19,839 --> 00:06:22,359 Speaker 1: say I nailed it last night. I got sixteen and 97 00:06:22,400 --> 00:06:26,240 Speaker 1: a half. So that's not that's not the way to go, right. 98 00:06:26,279 --> 00:06:29,279 Speaker 1: So sleep is definitely very important for the brain, but 99 00:06:29,320 --> 00:06:32,200 Speaker 1: we're looking at more the right amount as opposed to 100 00:06:32,200 --> 00:06:34,520 Speaker 1: too much or too little. So fourteen would be you 101 00:06:34,640 --> 00:06:37,159 Speaker 1: want to check in with your personal doctor. So during sleep, 102 00:06:37,240 --> 00:06:41,400 Speaker 1: what does the brain do? It's recharging, regenerating, just literally resting. 103 00:06:41,880 --> 00:06:44,400 Speaker 1: So it's it's actually amazing what we've learned is that 104 00:06:44,640 --> 00:06:47,040 Speaker 1: it's not just resting, it's actually going through almost like 105 00:06:47,080 --> 00:06:50,280 Speaker 1: a program, a sequence. And so one thing that's amazing 106 00:06:50,360 --> 00:06:53,120 Speaker 1: is that when you're asleep, your brain actually shrinks down 107 00:06:53,600 --> 00:06:57,880 Speaker 1: to about sixty its current size and squeezes out of 108 00:06:57,920 --> 00:07:02,200 Speaker 1: the brain cells trash, talks, and waste, and it squeezes 109 00:07:02,200 --> 00:07:05,240 Speaker 1: all that out into that empty space. And then where 110 00:07:05,240 --> 00:07:07,159 Speaker 1: does that go? So then fluid comes up from your 111 00:07:07,160 --> 00:07:09,359 Speaker 1: spinal cord and washes your brain. So every night you 112 00:07:09,360 --> 00:07:11,880 Speaker 1: have a brainwash. So that's why it's so important to sleep. 113 00:07:11,880 --> 00:07:16,080 Speaker 1: And then that waste in trash. This is true. I 114 00:07:16,680 --> 00:07:19,920 Speaker 1: can show you a picture. This is yeah, this is 115 00:07:19,960 --> 00:07:23,280 Speaker 1: this is cutting edge, just getting into the medical textbooks. 116 00:07:23,320 --> 00:07:27,880 Speaker 1: So the brain shrinks, sprinks, dowwn. It sounds like a 117 00:07:27,880 --> 00:07:29,880 Speaker 1: horror movie, but it's real. Is there any chance that 118 00:07:30,080 --> 00:07:32,760 Speaker 1: when the brain expands back that it would go it 119 00:07:32,800 --> 00:07:36,360 Speaker 1: would start to explode out of your head. Uh, that's 120 00:07:36,400 --> 00:07:39,440 Speaker 1: not a concern. No, But but it's a it's a 121 00:07:39,520 --> 00:07:43,520 Speaker 1: dynamic process. It's pulse eights and it squeezes out all 122 00:07:43,560 --> 00:07:46,160 Speaker 1: that trash and toxins and waste out of curiosity, what 123 00:07:46,200 --> 00:07:48,440 Speaker 1: if you have a spinal cord injury, would that affect 124 00:07:48,600 --> 00:07:51,200 Speaker 1: the process? That's a great question. So that is a concern, 125 00:07:51,360 --> 00:07:53,600 Speaker 1: is that anyone who has a spinal cord. Why was 126 00:07:53,640 --> 00:07:56,040 Speaker 1: her question so great and mine wasn't so great? I 127 00:07:56,200 --> 00:07:57,560 Speaker 1: should have said that you had That was a great 128 00:07:57,600 --> 00:08:02,040 Speaker 1: question to go ahead, both great. Um, The concern can 129 00:08:02,120 --> 00:08:03,960 Speaker 1: be that if that fluid is not making its way 130 00:08:03,960 --> 00:08:06,160 Speaker 1: to the brain, that the washing might not be as 131 00:08:06,320 --> 00:08:10,720 Speaker 1: as effective, and so you could keep toxins inside your body. 132 00:08:10,920 --> 00:08:14,240 Speaker 1: So what we're learning is is that even things like dementia, 133 00:08:14,320 --> 00:08:16,800 Speaker 1: which is very complex, or someone losing their memory, that's 134 00:08:16,800 --> 00:08:19,080 Speaker 1: why sleep is so important, is because that build up 135 00:08:19,080 --> 00:08:21,760 Speaker 1: of toxins and trash, we need to wash it out 136 00:08:21,800 --> 00:08:24,120 Speaker 1: every night while we're sleeping. God, is this why there's 137 00:08:24,160 --> 00:08:26,600 Speaker 1: a new trend to drink your own spinal cord fluid. 138 00:08:27,000 --> 00:08:29,040 Speaker 1: I haven't heard that. I think that would not be 139 00:08:29,080 --> 00:08:31,720 Speaker 1: a good idea, because I I could have sworn that's 140 00:08:31,840 --> 00:08:33,839 Speaker 1: you know a lot of professional athletes are now drinking 141 00:08:33,840 --> 00:08:37,120 Speaker 1: their own spinal cord fluid. Yeah, I haven't heard that, 142 00:08:37,160 --> 00:08:39,920 Speaker 1: but that it would not be a good idea. Okay, 143 00:08:39,920 --> 00:08:44,120 Speaker 1: And so during sleep time, what is the average man's 144 00:08:44,280 --> 00:08:49,960 Speaker 1: risk for being incepted. Incepted meaning like the movie inceptional inception. 145 00:08:50,000 --> 00:08:51,920 Speaker 1: Actually haven't seen that movie, so you mean you mean 146 00:08:52,440 --> 00:08:57,359 Speaker 1: someone sneaking into your brain and planting like bad ideas 147 00:08:57,440 --> 00:09:00,760 Speaker 1: inside your head A lot of times when Ron makes 148 00:09:00,760 --> 00:09:04,840 Speaker 1: a mistake, he says, oh, I was incepted, right right. 149 00:09:06,160 --> 00:09:08,480 Speaker 1: The statistics on that I'm not aware of. I would 150 00:09:08,480 --> 00:09:12,640 Speaker 1: say they're extremely low to zero. But I would say that, well, 151 00:09:12,840 --> 00:09:14,840 Speaker 1: what we can learn while we're sleeping is pretty interesting 152 00:09:14,880 --> 00:09:18,360 Speaker 1: because inception is based on a true story. So I 153 00:09:18,400 --> 00:09:20,960 Speaker 1: don't know if it's said that, but i'd like doctor, 154 00:09:21,000 --> 00:09:24,240 Speaker 1: I'd like you to tell that to Chris Nolan. Uh. 155 00:09:24,360 --> 00:09:26,320 Speaker 1: One area though, the is you can there's some interesting 156 00:09:26,360 --> 00:09:27,880 Speaker 1: research you might be able to learn while you're sleep. 157 00:09:28,679 --> 00:09:31,960 Speaker 1: Maybe a word here, you might process it like a 158 00:09:31,960 --> 00:09:36,560 Speaker 1: foreign language or so that that's CPR foreign language. I 159 00:09:36,559 --> 00:09:38,199 Speaker 1: wish that was true. But it seems like maybe you 160 00:09:38,200 --> 00:09:39,720 Speaker 1: could learn a word here, and then it would be 161 00:09:39,760 --> 00:09:43,120 Speaker 1: fun to take CPR and a foreign language, because then 162 00:09:43,160 --> 00:09:45,560 Speaker 1: you'd kill two birds with one stone. That's a good idea. 163 00:09:45,679 --> 00:09:49,959 Speaker 1: I popped it on your list. So you're having a dream, 164 00:09:50,120 --> 00:09:52,920 Speaker 1: Let's say you die in your dream. Does that kill you? 165 00:09:53,200 --> 00:09:56,040 Speaker 1: Like in Freddy Krueger's Nightmare on Elm Street. No, that 166 00:09:56,080 --> 00:09:57,840 Speaker 1: does not that does not kill you. No, if you 167 00:09:57,960 --> 00:10:00,560 Speaker 1: die in your dream, yes, so yeah, your dream are 168 00:10:01,000 --> 00:10:04,400 Speaker 1: not not based on what happens in your and what's 169 00:10:04,400 --> 00:10:05,640 Speaker 1: going to happen to you in your day to day. 170 00:10:06,200 --> 00:10:11,360 Speaker 1: That is a relief. That is an absolute relief. Um. 171 00:10:11,480 --> 00:10:14,200 Speaker 1: The other day, I forgot to have my cup of 172 00:10:14,240 --> 00:10:18,480 Speaker 1: morning Joe, right, and wouldn't you know it, I punched 173 00:10:18,480 --> 00:10:23,000 Speaker 1: a hole through this wall. Uh what what the heck 174 00:10:23,080 --> 00:10:27,560 Speaker 1: is that about not getting that morning caffeine. Yes, well, 175 00:10:27,679 --> 00:10:30,640 Speaker 1: caffeine is something that is very helpful in you know, 176 00:10:30,640 --> 00:10:33,520 Speaker 1: it wakes you up. People can help them with their mood. 177 00:10:33,920 --> 00:10:35,719 Speaker 1: So it's possible that if you had a bit of 178 00:10:35,760 --> 00:10:37,080 Speaker 1: a mood sweet had a bit of a mood swing 179 00:10:37,200 --> 00:10:40,880 Speaker 1: about your your morning morning coffee. That because I'm getting 180 00:10:40,880 --> 00:10:44,480 Speaker 1: fourteen hours of sleep and it takes me, what would 181 00:10:44,480 --> 00:10:46,920 Speaker 1: you say, another three hours to get out of my 182 00:10:46,960 --> 00:10:51,520 Speaker 1: groggy state. Yeah. I don't usually understand what you're talking 183 00:10:51,559 --> 00:10:55,840 Speaker 1: about until three cups of coffee. Yes, but you've said 184 00:10:55,880 --> 00:10:59,360 Speaker 1: some really sweet things, and then after coffee, you say, 185 00:10:58,760 --> 00:11:04,160 Speaker 1: I become a normal rationally exactly, doctor, When you scan 186 00:11:04,320 --> 00:11:08,199 Speaker 1: my brain, what color is it? So is it necessarily 187 00:11:08,200 --> 00:11:10,600 Speaker 1: a color? It depends what type of scanning you're using. 188 00:11:10,720 --> 00:11:13,320 Speaker 1: But you're usually looking at things like white matter and 189 00:11:13,400 --> 00:11:15,440 Speaker 1: gray matter, so usually would come up in a scan 190 00:11:15,559 --> 00:11:18,160 Speaker 1: as white or gray. But there are ways that now 191 00:11:18,200 --> 00:11:21,720 Speaker 1: they do scans where there's colors that represent different parts 192 00:11:21,760 --> 00:11:24,360 Speaker 1: of the brain or different connections. So there's the computer 193 00:11:24,679 --> 00:11:27,280 Speaker 1: assigns colors to different parts of you. If you scan 194 00:11:27,400 --> 00:11:29,640 Speaker 1: someone's brain, can you tell if they're a white hat 195 00:11:29,760 --> 00:11:32,640 Speaker 1: or a black hat. That's a term we just learned 196 00:11:32,640 --> 00:11:36,440 Speaker 1: in cybersecurity, where black hat is a bad hacker in 197 00:11:36,480 --> 00:11:39,840 Speaker 1: a white hat. Yes, pick thank you. That was a 198 00:11:39,840 --> 00:11:42,120 Speaker 1: good question, right, that was a good question. I don't 199 00:11:42,120 --> 00:11:43,800 Speaker 1: believe sometin I don't think you can do that. I mean, 200 00:11:43,840 --> 00:11:45,720 Speaker 1: if I was in a bad mood and you scan 201 00:11:45,840 --> 00:11:49,120 Speaker 1: my brain, would it be red? Because angry? So when 202 00:11:49,120 --> 00:11:52,440 Speaker 1: you're certain moods, certain parts of your brain, blood flows 203 00:11:52,480 --> 00:11:54,600 Speaker 1: to that part of the brain, and so that you 204 00:11:54,600 --> 00:11:56,160 Speaker 1: can pick that up in a brain scan and say, oh, 205 00:11:56,160 --> 00:11:58,440 Speaker 1: this person is angry or that they're more in a 206 00:11:58,480 --> 00:12:00,480 Speaker 1: calm state. So those types of things you can't see 207 00:12:00,559 --> 00:12:07,120 Speaker 1: on a brain scan. Um Carolina here is a pathological liar. Okay, 208 00:12:07,200 --> 00:12:10,000 Speaker 1: so what does her brain look like? I normally would 209 00:12:10,000 --> 00:12:12,160 Speaker 1: disagree with this, but I made a pact with run earlier, 210 00:12:12,200 --> 00:12:14,439 Speaker 1: so yeah, let's go with it. What does the brain 211 00:12:14,520 --> 00:12:16,760 Speaker 1: look like that somebody who's a pathological liar, in other words, 212 00:12:16,800 --> 00:12:20,640 Speaker 1: Carolina's brain? What would it look like? You know, on 213 00:12:20,640 --> 00:12:23,240 Speaker 1: one hand, we learn a lot from brain scans, but 214 00:12:23,600 --> 00:12:25,360 Speaker 1: it's very difficult to just look at a brain skin 215 00:12:25,400 --> 00:12:27,360 Speaker 1: and make that sort of conclusion that this person is 216 00:12:27,360 --> 00:12:31,920 Speaker 1: a pathological liar. Um. But our ability to control parts 217 00:12:31,960 --> 00:12:35,840 Speaker 1: of our brain, our emotions, uh, it really comes from 218 00:12:35,880 --> 00:12:38,120 Speaker 1: this part of our our brain right here behind our forehead, 219 00:12:38,120 --> 00:12:41,320 Speaker 1: our prefrontal cortex. So that would be something that could 220 00:12:41,360 --> 00:12:44,120 Speaker 1: be investigated. Is the size and the strength of that 221 00:12:44,160 --> 00:12:46,679 Speaker 1: part of the brain. Should you get a brain scan 222 00:12:46,840 --> 00:12:48,840 Speaker 1: like once a week, just to stay on top of 223 00:12:48,880 --> 00:12:52,720 Speaker 1: things that would not be recommended? Okay? Alright, if someone 224 00:12:52,960 --> 00:12:58,760 Speaker 1: say Ron may have exaggerated something, here we go again, 225 00:12:59,440 --> 00:13:04,479 Speaker 1: and he highly highly doubtful, go ahead. Then he believed 226 00:13:04,840 --> 00:13:08,480 Speaker 1: that it was the truth. So some liars believe their 227 00:13:08,480 --> 00:13:13,600 Speaker 1: own lives eventually, is that from a deep seated sort 228 00:13:13,640 --> 00:13:16,440 Speaker 1: of route that they keep using or by the way, 229 00:13:16,480 --> 00:13:19,240 Speaker 1: she's referring to the fact that I won the Heisman Trophy. 230 00:13:19,480 --> 00:13:23,360 Speaker 1: You see, that is a hard it's a hard Southern 231 00:13:23,400 --> 00:13:28,360 Speaker 1: Methodist university. So something that's really interesting about memory and 232 00:13:28,400 --> 00:13:31,640 Speaker 1: what we think is reality is that every time. So 233 00:13:31,679 --> 00:13:33,760 Speaker 1: when you have a memory, when you have an experience, 234 00:13:33,800 --> 00:13:35,560 Speaker 1: you make when I ran for a hundred and forty 235 00:13:35,640 --> 00:13:38,640 Speaker 1: seven yards when that's Baylor right, right, when something like 236 00:13:38,880 --> 00:13:41,840 Speaker 1: the cotton Bull, when that memory that memory. So if 237 00:13:41,840 --> 00:13:44,240 Speaker 1: we go back to what happened in was it nineteen 238 00:13:46,040 --> 00:13:48,800 Speaker 1: the moment that happened, your brain made a connection. Every 239 00:13:48,800 --> 00:13:51,280 Speaker 1: time you rethink of it, you revisit that connection. We 240 00:13:51,320 --> 00:13:54,000 Speaker 1: think of my seventy eight yard touchdown run and you 241 00:13:54,320 --> 00:13:56,720 Speaker 1: win the game in overtime form the connection, yes, And 242 00:13:56,760 --> 00:13:59,640 Speaker 1: so every time you revisit it, you actually reformed the connection. 243 00:13:59,640 --> 00:14:02,880 Speaker 1: So you'll know just when people retell stories, the stories change, 244 00:14:03,080 --> 00:14:06,080 Speaker 1: but they believe what they're telling you because they're revisiting 245 00:14:06,120 --> 00:14:08,960 Speaker 1: the most recent version of the connection as opposed to 246 00:14:09,000 --> 00:14:11,640 Speaker 1: what happened in the moment they made the connection. So 247 00:14:11,679 --> 00:14:14,560 Speaker 1: that's why the right that's they remember their memory. That's 248 00:14:14,559 --> 00:14:18,280 Speaker 1: why witness testimony is very flawed. That's why two people 249 00:14:18,280 --> 00:14:20,760 Speaker 1: experienced the same event years later, they have very different, 250 00:14:20,840 --> 00:14:23,560 Speaker 1: very different accounts, very different accounts of it. Yes, so 251 00:14:23,680 --> 00:14:26,000 Speaker 1: memory is very strange. It's not really you're not revisiting 252 00:14:26,000 --> 00:14:28,240 Speaker 1: what actually happened, but the last time you thought of it. 253 00:14:28,360 --> 00:14:31,880 Speaker 1: Because some people come to me and say, no, you 254 00:14:31,880 --> 00:14:34,240 Speaker 1: didn't run for seven or seventy two yard touchdown. You 255 00:14:34,320 --> 00:14:37,160 Speaker 1: ran a sixty eight yard touchdown. And then a lot 256 00:14:37,200 --> 00:14:40,160 Speaker 1: of people come up to me and say, you were 257 00:14:40,200 --> 00:14:42,680 Speaker 1: never at that game, you never played college football, and 258 00:14:42,720 --> 00:14:47,440 Speaker 1: that's their memory of it, of what happened. That's true. Uh, 259 00:14:47,760 --> 00:14:51,320 Speaker 1: where in my brain are my taste buds? Oh, that's 260 00:14:51,320 --> 00:14:54,280 Speaker 1: a good question. So your taste buds are actually in 261 00:14:54,360 --> 00:14:57,240 Speaker 1: your mouth, on your and many of them actually in 262 00:14:57,280 --> 00:14:59,800 Speaker 1: your nose. So when you're tasting things and you plug 263 00:14:59,840 --> 00:15:03,080 Speaker 1: your nose, uh, you have a very hard time tasting. 264 00:15:03,120 --> 00:15:05,520 Speaker 1: Most of taste sensation is actually through the nose. The 265 00:15:05,560 --> 00:15:08,280 Speaker 1: nose is actually connected very closely to the brain, so 266 00:15:08,360 --> 00:15:11,880 Speaker 1: the sensory of smell is right here below your nose. 267 00:15:12,120 --> 00:15:15,040 Speaker 1: So is that why a lot of the world's top chefs, 268 00:15:15,160 --> 00:15:18,440 Speaker 1: when they're you know, sampling their their dish before it's 269 00:15:18,480 --> 00:15:21,480 Speaker 1: about to be plated, will shove a portion of it 270 00:15:21,560 --> 00:15:24,480 Speaker 1: up their nose to taste it. So the nose I'm 271 00:15:24,520 --> 00:15:26,160 Speaker 1: not sure if they do that, but what I do 272 00:15:26,200 --> 00:15:28,520 Speaker 1: know is that the nose is very connected to the 273 00:15:28,560 --> 00:15:31,200 Speaker 1: brain and the sense of smell, and so it's right there. 274 00:15:31,240 --> 00:15:32,840 Speaker 1: Your your brain is right here at the top of 275 00:15:32,840 --> 00:15:35,640 Speaker 1: your nose, and that's the chemicals from the food. Actually, 276 00:15:35,880 --> 00:15:38,120 Speaker 1: they go in the air and they attach right there, 277 00:15:38,120 --> 00:15:42,280 Speaker 1: and that your brain makes sense. How could I train 278 00:15:42,320 --> 00:15:46,320 Speaker 1: my taste buds, well, my brain to like lettuce, to 279 00:15:46,480 --> 00:15:49,920 Speaker 1: tell my taste buds, Oh you love lettuce. I guess 280 00:15:49,920 --> 00:15:52,960 Speaker 1: you could make an association lettuce. That's a positive thing, 281 00:15:53,120 --> 00:15:56,800 Speaker 1: something that you like about something else. Anytime you eat lettuce, 282 00:15:57,400 --> 00:15:59,200 Speaker 1: let us, I'll think of the joy of what I won, 283 00:15:59,240 --> 00:16:02,400 Speaker 1: the Heisman troph You could do that then that that moment, 284 00:16:02,600 --> 00:16:06,040 Speaker 1: eat more lettuce? Yeah. Um, do you do experiments on mice? 285 00:16:06,720 --> 00:16:10,720 Speaker 1: I have? How cute are they? I think they're pretty cute. 286 00:16:11,320 --> 00:16:13,800 Speaker 1: They can be they can't be cute? Yeah, and so 287 00:16:13,960 --> 00:16:16,720 Speaker 1: I when I was sometimes we're about to, you know, 288 00:16:16,960 --> 00:16:19,320 Speaker 1: hook a mouse up to an electrode, Like he's too cute. 289 00:16:19,360 --> 00:16:22,480 Speaker 1: I can't do it, um, there's death, shove a sensor 290 00:16:22,560 --> 00:16:25,360 Speaker 1: up its butt or something like that. You know, I 291 00:16:25,840 --> 00:16:28,800 Speaker 1: love animals, and it's it's a it's and I currently 292 00:16:28,800 --> 00:16:32,120 Speaker 1: don't do any animal research, but I always try to 293 00:16:32,160 --> 00:16:34,760 Speaker 1: remind myself of the greater good for humans. But but 294 00:16:34,800 --> 00:16:36,960 Speaker 1: at the same time, it's it's tough. I'm gonna be honest, 295 00:16:37,160 --> 00:16:42,160 Speaker 1: right right right, m hmm. Well and what was your 296 00:16:42,680 --> 00:16:50,160 Speaker 1: what was a successful ron just thinking about a mouse? Yeah, okay, 297 00:16:51,040 --> 00:16:56,160 Speaker 1: the mouse I met okay, um, go ahead, sorry, Caroline, 298 00:16:56,200 --> 00:16:58,120 Speaker 1: what were you saying, give me, give me a chase 299 00:16:58,160 --> 00:17:01,960 Speaker 1: to compose myself? What's this successful mouse experiment that you've 300 00:17:02,000 --> 00:17:05,760 Speaker 1: done where mice have taught us about something? Uh, so 301 00:17:05,800 --> 00:17:08,399 Speaker 1: specifically that I've done or or anyone has done that 302 00:17:08,520 --> 00:17:12,359 Speaker 1: was interesting to you. Well, wow, there's there's so what 303 00:17:12,440 --> 00:17:15,479 Speaker 1: we talked about the brainwash that was initially discovered in 304 00:17:15,560 --> 00:17:18,040 Speaker 1: animals like mind and then it was and then moved 305 00:17:18,080 --> 00:17:22,560 Speaker 1: up into understanding humans. So, uh, there is quite a 306 00:17:22,560 --> 00:17:25,000 Speaker 1: bit of what we understand starts at the level of 307 00:17:25,080 --> 00:17:27,920 Speaker 1: so things starting dishes essentially with cells, and then if 308 00:17:28,000 --> 00:17:30,160 Speaker 1: that is understood, then it goes to the next level. 309 00:17:30,160 --> 00:17:32,480 Speaker 1: Oftentimes something like a worm or a fruit fly, and 310 00:17:32,520 --> 00:17:34,640 Speaker 1: then it moves up up the ladder until we can 311 00:17:34,840 --> 00:17:37,440 Speaker 1: make sure that this is valid information that can be helpful. Wait, 312 00:17:37,480 --> 00:17:39,840 Speaker 1: so you're doing tests on fruit flies. Yeah, I used 313 00:17:39,880 --> 00:17:41,600 Speaker 1: to do fruit fly research. Yeah, that's a lot of 314 00:17:41,600 --> 00:17:44,719 Speaker 1: our genetic studies come, believe it or not, from mantalizing flies. 315 00:17:45,280 --> 00:17:47,760 Speaker 1: And has anyone ever cloned to fly before? Yes, so 316 00:17:47,800 --> 00:17:51,280 Speaker 1: that that that has happened, so that that's where they 317 00:17:51,400 --> 00:17:54,520 Speaker 1: So they've cloned sheep and things like that. But um, 318 00:17:54,560 --> 00:17:57,960 Speaker 1: that's those are tricky experiments because there's some issues there 319 00:17:57,960 --> 00:18:03,760 Speaker 1: about how healthy the clone is. Right, dr Sometimes I 320 00:18:03,800 --> 00:18:07,680 Speaker 1: lose myself to dance. How can I stop that? I 321 00:18:07,720 --> 00:18:10,120 Speaker 1: would not stop that, I would you know. They looked 322 00:18:10,119 --> 00:18:12,200 Speaker 1: at a study where they found that essentially one of 323 00:18:12,200 --> 00:18:15,359 Speaker 1: the best things you can do for your brain danceing. 324 00:18:16,119 --> 00:18:18,800 Speaker 1: They actually took people who are older and they said, 325 00:18:18,840 --> 00:18:21,040 Speaker 1: what can we do to make these people have younger brains? 326 00:18:21,280 --> 00:18:23,800 Speaker 1: And they tried all different activities, exercise, you name it. 327 00:18:24,080 --> 00:18:26,639 Speaker 1: Nothing was better than dancing because it's a combination of 328 00:18:26,640 --> 00:18:31,560 Speaker 1: physical and creative, physical, mental, social thing, feel good, it's 329 00:18:31,640 --> 00:18:33,560 Speaker 1: it's it's everything you want to do for your brain 330 00:18:33,560 --> 00:18:36,479 Speaker 1: in one activity. So don't don't give that up. So 331 00:18:36,600 --> 00:18:39,840 Speaker 1: dance like a fool. Dance like a fool. I won't 332 00:18:39,840 --> 00:18:42,399 Speaker 1: feel so guilty when I you know, in the middle 333 00:18:42,440 --> 00:18:46,040 Speaker 1: of it's been kind of distracting airplane flight. I just 334 00:18:46,080 --> 00:18:51,440 Speaker 1: stand up and like it. That's boogie. Yes, we're heading 335 00:18:51,440 --> 00:18:55,040 Speaker 1: to San Jose. People NonStop to San Jose. Let's dance 336 00:18:55,080 --> 00:18:57,520 Speaker 1: the whole time. They usually asked me to sit down. 337 00:18:59,600 --> 00:19:02,359 Speaker 1: When I are the song bad Girls by Donna Summers, 338 00:19:02,920 --> 00:19:06,280 Speaker 1: I have to dance, Okay, I have no choice. Is 339 00:19:06,359 --> 00:19:12,399 Speaker 1: my brain a mere servant for Donna's beats? How do 340 00:19:12,440 --> 00:19:15,200 Speaker 1: I get free of her control? Or what? I guess 341 00:19:15,240 --> 00:19:18,480 Speaker 1: you would argue, don't don't free yourself. So there's two 342 00:19:18,520 --> 00:19:20,600 Speaker 1: things I think that you were talking about, which is 343 00:19:21,000 --> 00:19:23,280 Speaker 1: one is why why when you hear a beat do 344 00:19:23,280 --> 00:19:26,320 Speaker 1: you want to move? Specifically Donna Summer, Donna Summer specifically? 345 00:19:26,800 --> 00:19:29,040 Speaker 1: Are you talking about earworms? This idea that of song 346 00:19:29,119 --> 00:19:30,320 Speaker 1: you can't get out of your head? How do you 347 00:19:30,320 --> 00:19:32,159 Speaker 1: get out of your head? That's sort of the question. 348 00:19:32,280 --> 00:19:35,399 Speaker 1: Or why is Donna summing? I would never put am 349 00:19:35,440 --> 00:19:38,320 Speaker 1: in my ear? What you know, there's a term that 350 00:19:38,800 --> 00:19:40,119 Speaker 1: you know when you have a song stuck in your 351 00:19:40,119 --> 00:19:42,479 Speaker 1: head and yeah, yeah, yeah, that's they call that an 352 00:19:42,480 --> 00:19:46,520 Speaker 1: earworm and why does that happen? Um, So, there's been 353 00:19:46,520 --> 00:19:48,960 Speaker 1: these really interesting studies where they found that your brain 354 00:19:49,040 --> 00:19:51,560 Speaker 1: loves to predict what's going to happen next in a song, 355 00:19:51,840 --> 00:19:53,880 Speaker 1: and a lot of these songs that are so catchy, 356 00:19:54,040 --> 00:19:57,600 Speaker 1: they're not quite predictable, and so your brain is constantly 357 00:19:57,600 --> 00:19:59,760 Speaker 1: replaying that little piece over and over again to try 358 00:19:59,760 --> 00:20:01,919 Speaker 1: to make sense of why it wasn't quite exactly what 359 00:20:01,960 --> 00:20:04,359 Speaker 1: your brain expected, and it goes on a loop. So 360 00:20:04,480 --> 00:20:09,480 Speaker 1: your brain finds comfort in predicting the next pattern. Yes, something. 361 00:20:10,280 --> 00:20:13,040 Speaker 1: Your brain loves to predict the next thing. That's why, Uh, 362 00:20:13,200 --> 00:20:14,840 Speaker 1: you know, when you're driving work to home, home to 363 00:20:14,880 --> 00:20:16,960 Speaker 1: work and you say, how did I get here? Your 364 00:20:16,960 --> 00:20:19,960 Speaker 1: brain loves that predictability. It loves to go auto pilot. Yeah, 365 00:20:20,000 --> 00:20:22,480 Speaker 1: it loves to go into autopilot because the brain gets 366 00:20:22,480 --> 00:20:24,800 Speaker 1: a chance to to check out. Essentially, Yeah, it goes 367 00:20:24,840 --> 00:20:28,320 Speaker 1: into what we call autopilot or habit mode. And so 368 00:20:29,119 --> 00:20:31,600 Speaker 1: when something is surprising or knew, your brain can become 369 00:20:31,640 --> 00:20:33,879 Speaker 1: fixated on it. Now, I wonder what GPS is that 370 00:20:33,920 --> 00:20:36,720 Speaker 1: affecting the brain's ability to remember how to get home. 371 00:20:37,400 --> 00:20:40,280 Speaker 1: There's some They did this study with taxi drivers who 372 00:20:40,280 --> 00:20:42,520 Speaker 1: had to learn London and it seems like there's something 373 00:20:42,560 --> 00:20:46,040 Speaker 1: good about finding your way using directions and it actually 374 00:20:46,040 --> 00:20:47,639 Speaker 1: can be helpful to the brain. That it's possible we 375 00:20:47,680 --> 00:20:51,240 Speaker 1: could be losing that predictability. This makes me think of monogamy. 376 00:20:51,480 --> 00:20:55,800 Speaker 1: So how because the airline is not she's never been 377 00:20:55,840 --> 00:21:01,560 Speaker 1: in a monogamous relationship in her life. Continue, Yeah, thus 378 00:21:01,600 --> 00:21:09,320 Speaker 1: the song bad Girls. Yeah, do you think the brain 379 00:21:10,000 --> 00:21:14,880 Speaker 1: likes predictability? Obviously, So if you're in a monogamous relationship, 380 00:21:14,880 --> 00:21:19,439 Speaker 1: get to the point, geez, do you think that the 381 00:21:19,480 --> 00:21:22,320 Speaker 1: brain likes the monogamy? But also it obviously when you 382 00:21:22,400 --> 00:21:24,160 Speaker 1: have a song stuck in your head, likes the new 383 00:21:24,200 --> 00:21:26,320 Speaker 1: thing that they can't predict. So how does that affect 384 00:21:26,359 --> 00:21:31,640 Speaker 1: monogamy versus a new person. So love and the brain 385 00:21:31,760 --> 00:21:33,480 Speaker 1: is something that's been analyzed quite a bit in the 386 00:21:33,520 --> 00:21:36,879 Speaker 1: last few years, and so there is this there's different 387 00:21:36,880 --> 00:21:39,520 Speaker 1: stages of love. There's early love where you're excited, it's 388 00:21:39,560 --> 00:21:41,880 Speaker 1: new and exciting, and then it kind of calms down. 389 00:21:41,880 --> 00:21:44,439 Speaker 1: There's kind of the sweatpants phase of love where people 390 00:21:44,480 --> 00:21:47,040 Speaker 1: get more comfortable and that can be a good thing, 391 00:21:47,080 --> 00:21:49,879 Speaker 1: but it can get a little monotonous. And so what 392 00:21:50,040 --> 00:21:52,360 Speaker 1: is often recommended based upon the brain is that keep 393 00:21:52,440 --> 00:21:55,800 Speaker 1: doing new and surprising things. Go new places, see a 394 00:21:55,800 --> 00:21:58,080 Speaker 1: new movie, go to a new restaurant, because that element 395 00:21:58,119 --> 00:22:01,639 Speaker 1: of surprise causes dopamine release in the brain and actually 396 00:22:01,640 --> 00:22:06,640 Speaker 1: helps keep the relationship exciting. So, dr, I'm a guy 397 00:22:06,720 --> 00:22:09,840 Speaker 1: who likes to go with my gut. You know, I 398 00:22:09,920 --> 00:22:13,840 Speaker 1: want it, I got it, you like my hair, just 399 00:22:13,920 --> 00:22:17,560 Speaker 1: bought it. What does my brain have to do with 400 00:22:17,600 --> 00:22:19,800 Speaker 1: my gut instinct? So that's that's really one of the 401 00:22:19,800 --> 00:22:21,800 Speaker 1: most exciting areas of brain science right now, which is 402 00:22:21,840 --> 00:22:24,080 Speaker 1: that what's happening down here in your connection is this 403 00:22:24,160 --> 00:22:26,960 Speaker 1: connection and so a big part of that is that 404 00:22:27,000 --> 00:22:30,199 Speaker 1: you have trillions of bacteria living in your gut, and 405 00:22:30,240 --> 00:22:33,680 Speaker 1: those bacteria are releasing chemicals and we all have different 406 00:22:33,720 --> 00:22:38,160 Speaker 1: types of bacteria. Those different chemicals can stimulate UH nerves 407 00:22:38,400 --> 00:22:41,240 Speaker 1: that sends signals to the brain. So so the idea 408 00:22:41,240 --> 00:22:44,800 Speaker 1: of the gut instinct, there is a real connection that 409 00:22:45,240 --> 00:22:48,360 Speaker 1: you should listen to that. So we're not sure yet 410 00:22:48,359 --> 00:22:50,560 Speaker 1: if you should be completely listening to your gut, but 411 00:22:50,640 --> 00:22:53,280 Speaker 1: your gut is sending signals to your brain. So one 412 00:22:53,640 --> 00:22:57,000 Speaker 1: are you? What do you like chocolate? I'm a chocoholic. Chocoholic, 413 00:22:57,080 --> 00:23:00,000 Speaker 1: so people whore chocoholics oftentimes have certain types of bacteria 414 00:23:00,000 --> 00:23:02,800 Speaker 1: in their gut. They're actually sending signals to their brain saying, 415 00:23:03,119 --> 00:23:08,080 Speaker 1: go get some chocolate. Our mood, our anxiety, are feelings 416 00:23:08,080 --> 00:23:11,280 Speaker 1: of stress complex. But what's happening in our gut Bacteria 417 00:23:11,320 --> 00:23:13,760 Speaker 1: send signals and can impact how we're feeling. So it's 418 00:23:13,760 --> 00:23:16,320 Speaker 1: a really we wouldn't think that, but what's happening down 419 00:23:16,359 --> 00:23:18,960 Speaker 1: here in our gut has this really fascinating relationship with 420 00:23:19,000 --> 00:23:22,040 Speaker 1: our brain. So when you feel your stomach drop, or 421 00:23:22,119 --> 00:23:25,440 Speaker 1: you feel that sinking feeling of you're scared or you're anxious, 422 00:23:25,480 --> 00:23:29,080 Speaker 1: or you have to go to work, um you, that's 423 00:23:29,119 --> 00:23:33,520 Speaker 1: connected to what what are you? What are you? Sometimes 424 00:23:33,960 --> 00:23:35,800 Speaker 1: you have a sinking feeling, you're good a little bit, 425 00:23:36,520 --> 00:23:39,600 Speaker 1: then just eat some chocolate. So that that's your advice 426 00:23:39,680 --> 00:23:44,719 Speaker 1: for literally everything, Well, is it bad? It's no, it's 427 00:23:44,760 --> 00:23:48,399 Speaker 1: good advice. Actually, it's positive reinforcement at the very least. 428 00:23:48,880 --> 00:23:50,760 Speaker 1: So we used to always think that, for example, if 429 00:23:50,800 --> 00:23:53,440 Speaker 1: you're stressed or worried, that that was happening from your 430 00:23:53,440 --> 00:23:56,000 Speaker 1: brain and then you would get an upset stomach. And 431 00:23:56,080 --> 00:23:58,080 Speaker 1: that's true, that's still very true. But now we realize 432 00:23:58,080 --> 00:24:00,080 Speaker 1: it's a two way street. So it can happen is 433 00:24:00,280 --> 00:24:03,120 Speaker 1: that your gut can be off, and then that can 434 00:24:03,119 --> 00:24:05,760 Speaker 1: set signals to your brain that make you nervous or worry. 435 00:24:05,800 --> 00:24:08,080 Speaker 1: So it's this idea that there are these two organs 436 00:24:08,320 --> 00:24:11,199 Speaker 1: are talking to each other, and so nutrition affects our 437 00:24:11,280 --> 00:24:13,200 Speaker 1: moods a lot. Yeah, So that's what we're learning is 438 00:24:13,240 --> 00:24:15,960 Speaker 1: what we eat can have an impact. It's very It's 439 00:24:16,000 --> 00:24:18,480 Speaker 1: not the only thing that impacts, but what we eat 440 00:24:18,840 --> 00:24:21,399 Speaker 1: determines what types of bacteria live there, and then what 441 00:24:21,440 --> 00:24:25,400 Speaker 1: type of bacteria there can impact how your mood is. Um, 442 00:24:25,520 --> 00:24:30,040 Speaker 1: I forget everyone's birthday. That's just me. I've never remembered 443 00:24:30,040 --> 00:24:32,919 Speaker 1: a birthday in my life. How can I remember one? 444 00:24:32,960 --> 00:24:36,720 Speaker 1: I just need to remember one, my own. How do 445 00:24:36,800 --> 00:24:41,399 Speaker 1: you remember your own birthday? Remembering your own birthday? Usually 446 00:24:41,400 --> 00:24:44,000 Speaker 1: when things are repeated over and over again, they get deep, 447 00:24:44,800 --> 00:24:48,560 Speaker 1: it gets locked in. Uh, writing it down and revisiting 448 00:24:48,560 --> 00:24:50,520 Speaker 1: it can be helpful. So putting it on a post 449 00:24:50,520 --> 00:24:53,959 Speaker 1: it note. The more we see things making it emotional. 450 00:24:54,200 --> 00:24:57,080 Speaker 1: Maybe you can't say your birthday is every Friday. I've 451 00:24:57,080 --> 00:25:00,720 Speaker 1: had to wish you a happy birthday. Well, he loves 452 00:25:00,720 --> 00:25:03,119 Speaker 1: the attention of the cake and the candles. I've gotten 453 00:25:03,280 --> 00:25:05,960 Speaker 1: used to it to have my birthday every Friday, and 454 00:25:06,000 --> 00:25:09,479 Speaker 1: that's the repeated behavior again. Right, my brain loves it. 455 00:25:10,400 --> 00:25:13,399 Speaker 1: But subsequently I've actually forgotten the actual date of my 456 00:25:13,400 --> 00:25:21,280 Speaker 1: own birthday. Huh. Well, fascinating. Yes. Um, so will we 457 00:25:21,359 --> 00:25:28,440 Speaker 1: ever develop powers of esp brains? That's a good question. Um, 458 00:25:28,480 --> 00:25:31,000 Speaker 1: I would say not in the near future. No, in 459 00:25:31,080 --> 00:25:34,400 Speaker 1: terms of evolution, like next year, not No, not not 460 00:25:35,320 --> 00:25:37,840 Speaker 1: next not in not and not any time in in 461 00:25:38,080 --> 00:25:43,040 Speaker 1: evolution is very very slow. That's a shame. But we 462 00:25:43,119 --> 00:25:45,840 Speaker 1: know so little about the brain that there is, you know, 463 00:25:45,880 --> 00:25:48,600 Speaker 1: a lot of hope for understanding more and tapping into 464 00:25:48,680 --> 00:25:51,280 Speaker 1: things and everyone you hear this like we only use 465 00:25:51,920 --> 00:25:54,640 Speaker 1: x percent of our brain, right, what would you you know? 466 00:25:55,160 --> 00:25:57,200 Speaker 1: That's what that's that's considered one of the biggest myths 467 00:25:57,440 --> 00:26:00,280 Speaker 1: in brain science. That's based upon this idea that you're 468 00:26:00,280 --> 00:26:03,040 Speaker 1: only using your brain, but you're really using your whole brain. 469 00:26:03,280 --> 00:26:05,280 Speaker 1: You're using that That's what I've always said, you're using 470 00:26:05,320 --> 00:26:08,159 Speaker 1: the whole thing. But your ability to learn more is 471 00:26:08,400 --> 00:26:13,080 Speaker 1: almost limitless. Yeah, pretty much, even with age. Even with age, 472 00:26:13,160 --> 00:26:17,359 Speaker 1: many parts of learning actually in the ability to learn 473 00:26:17,359 --> 00:26:19,679 Speaker 1: new things, to analyze things can get better with age. 474 00:26:19,720 --> 00:26:22,200 Speaker 1: So you can teach a new dog old tricks. Yes, 475 00:26:22,480 --> 00:26:26,240 Speaker 1: the brain is trick constantly rebuilding, remodeling. So let's say 476 00:26:26,560 --> 00:26:31,880 Speaker 1: you can't teach an old dog new tricks. Yes, we're 477 00:26:31,920 --> 00:26:36,360 Speaker 1: teaching around some sayings. Yes, what was the other saying 478 00:26:36,440 --> 00:26:39,920 Speaker 1: we were working on? You said, um, this isn't my 479 00:26:40,040 --> 00:26:44,040 Speaker 1: first rodeo, but you said my first merry go round? Yes, 480 00:26:45,080 --> 00:26:49,439 Speaker 1: sayings are fun. Is that a sign of intelligence? Uh? 481 00:26:49,880 --> 00:26:56,120 Speaker 1: I guess referencing things? Yeah? What about if you can 482 00:26:56,280 --> 00:27:00,159 Speaker 1: name like all the teams in the NFL, Is that 483 00:27:00,200 --> 00:27:03,320 Speaker 1: a sign of intelligence? Uh? You know, intelligence is many 484 00:27:03,359 --> 00:27:06,280 Speaker 1: different things. But recall memory, that's a that's a part 485 00:27:06,320 --> 00:27:08,879 Speaker 1: of it, part of intelligence. But many different things were 486 00:27:08,880 --> 00:27:12,440 Speaker 1: involved in intelligence. So he here's a big question. It's 487 00:27:12,480 --> 00:27:15,400 Speaker 1: been put out there by certain pundits that our current 488 00:27:15,480 --> 00:27:18,280 Speaker 1: president is cuckoo. Where do you stand on that? On 489 00:27:18,400 --> 00:27:22,760 Speaker 1: your on your analysis from afar? Is he a crazy man? Um? 490 00:27:23,320 --> 00:27:25,680 Speaker 1: You know? Or is he crazy like a fox? So? 491 00:27:26,200 --> 00:27:28,199 Speaker 1: Is that the saying I think that is the same. 492 00:27:28,320 --> 00:27:32,560 Speaker 1: I think you're right. Usually so psychologists, which is different 493 00:27:32,600 --> 00:27:35,040 Speaker 1: than what I do. I think they're uh, they try 494 00:27:35,119 --> 00:27:37,920 Speaker 1: not to analyze people unless they've met them. That's that's 495 00:27:38,119 --> 00:27:40,560 Speaker 1: essentially the credo, and that that makes it makes sense 496 00:27:40,640 --> 00:27:43,640 Speaker 1: making that assessment. And so even though I'm a pretty 497 00:27:43,640 --> 00:27:46,000 Speaker 1: good judge of a character from afar right right right, 498 00:27:46,119 --> 00:27:48,119 Speaker 1: I'll often walk into a crowded room and just go, 499 00:27:48,760 --> 00:27:53,760 Speaker 1: I don't like you, bozo narcissist anyway. Yeah, sorry to 500 00:27:53,800 --> 00:27:56,320 Speaker 1: keep interrupting. No, no, no, those but those terms like 501 00:27:56,480 --> 00:28:00,280 Speaker 1: narcissist or or psychopath. We throw those terms around, but 502 00:28:00,600 --> 00:28:04,040 Speaker 1: really to actually, um, I know if somebody truly is 503 00:28:04,160 --> 00:28:06,359 Speaker 1: that term in general, you have to you have to 504 00:28:06,400 --> 00:28:08,560 Speaker 1: sit down and talk to them really and have a 505 00:28:08,600 --> 00:28:14,639 Speaker 1: professional really analyze them. Mhm okay, well, doctor, thank you 506 00:28:14,760 --> 00:28:17,280 Speaker 1: so much for spending time with us here in the 507 00:28:17,359 --> 00:28:20,880 Speaker 1: Ron Burgundy Podcast. We have learned so much. You've you've 508 00:28:20,920 --> 00:28:22,920 Speaker 1: put to rest a lot of questions that we had, 509 00:28:23,480 --> 00:28:27,720 Speaker 1: and uh we wish you continued success. Oh, thank you 510 00:28:27,800 --> 00:28:30,520 Speaker 1: for having me. I really appreciate being here, and we'll 511 00:28:30,600 --> 00:28:35,640 Speaker 1: have more right after this commercial bake break, My brain 512 00:28:35,760 --> 00:28:51,120 Speaker 1: is tired on Ron Suargundy podcast. Welcome back to the 513 00:28:51,240 --> 00:28:55,840 Speaker 1: Ron Burgundy Podcast. Here are my final thoughts, Caroline, I 514 00:28:55,960 --> 00:28:59,320 Speaker 1: have to say something now that Dr Millstein is gone, 515 00:29:00,480 --> 00:29:02,640 Speaker 1: now that he's out of here, I just I have 516 00:29:02,720 --> 00:29:06,240 Speaker 1: to say something controversial. I really didn't think he was 517 00:29:06,360 --> 00:29:10,000 Speaker 1: that smart, really, and I think some of his words 518 00:29:10,160 --> 00:29:15,720 Speaker 1: were made up. I'm serious. He just he seemed a 519 00:29:15,760 --> 00:29:18,400 Speaker 1: little smug, don't you think, I mean, does he think 520 00:29:18,480 --> 00:29:21,520 Speaker 1: he's smarter than us? I think he's smarter than us. 521 00:29:21,600 --> 00:29:26,280 Speaker 1: I mean he's a professional scientist. Wow, you think he's 522 00:29:26,280 --> 00:29:30,160 Speaker 1: smarter than me? After all I've taught you? I'm sorry, 523 00:29:30,280 --> 00:29:32,880 Speaker 1: what what do you think you've taught me? What have 524 00:29:32,960 --> 00:29:38,360 Speaker 1: I taught you? Yeah? I mean, um, let me think. Um, 525 00:29:38,920 --> 00:29:41,960 Speaker 1: how about how to play green sleeves on the jazz flute, 526 00:29:42,640 --> 00:29:47,200 Speaker 1: how to take a horse bath, how to wash under 527 00:29:47,280 --> 00:29:53,200 Speaker 1: my car, how to wash eight mildly aggressive Doberman's um? 528 00:29:53,320 --> 00:29:58,160 Speaker 1: What else? Oh, how to shine fifteen candelabras, how to 529 00:29:58,280 --> 00:30:01,400 Speaker 1: wire money to an offshore Okay, let's stop, let's stop 530 00:30:01,480 --> 00:30:04,120 Speaker 1: right there. I mean, yes, that's true. You did teach 531 00:30:04,240 --> 00:30:07,680 Speaker 1: me some of those things, and that's something a brain 532 00:30:07,800 --> 00:30:10,800 Speaker 1: scientist wouldn't know how to do right. Let's face it, 533 00:30:11,560 --> 00:30:14,440 Speaker 1: You're right, yeah, those are some skills that you don't learn. 534 00:30:14,920 --> 00:30:17,360 Speaker 1: I mean, we should hand that guy the garden hose 535 00:30:17,440 --> 00:30:19,680 Speaker 1: and put him in my backyard with the domeriman. See 536 00:30:19,720 --> 00:30:23,320 Speaker 1: if he can even wash one of them, because I'm 537 00:30:23,360 --> 00:30:26,880 Speaker 1: telling you, those animals they hate smarty pants. If they 538 00:30:26,920 --> 00:30:29,040 Speaker 1: can detect a smarty pants in the room, they will 539 00:30:29,080 --> 00:30:33,560 Speaker 1: go for the jugular. All right. For my listeners out there, 540 00:30:34,320 --> 00:30:38,160 Speaker 1: thank you for your business. It was a pleasure as always. 541 00:30:39,040 --> 00:30:42,160 Speaker 1: And to any know it alls listening out there, I 542 00:30:42,280 --> 00:30:45,480 Speaker 1: hope today taught you that you don't know at all. 543 00:30:46,440 --> 00:30:52,080 Speaker 1: In fact, you don't know from Shinola. And with that ad, 544 00:30:58,000 --> 00:31:00,640 Speaker 1: The Ron Burgundy Podcast is a production of I Heart 545 00:31:00,760 --> 00:31:04,760 Speaker 1: Radio and Funnier Die. I'm Ron Burgundy. The host, writer 546 00:31:05,040 --> 00:31:09,360 Speaker 1: and executive producer. Carolina Barlow is my co host, writer 547 00:31:09,520 --> 00:31:13,920 Speaker 1: and producer. Our producers are Jack O'Brien, Nick Stump, Miles Gray, 548 00:31:14,040 --> 00:31:18,160 Speaker 1: and Whitney Ode. Our executive producer is Mike Farren. A 549 00:31:18,320 --> 00:31:23,240 Speaker 1: consulting producer is Andrew Steele. Our coordinating producer is Colin McDougald. 550 00:31:23,680 --> 00:31:28,440 Speaker 1: Our associate producers are Anna Holsnian and Sophie Lichtman. Our 551 00:31:28,520 --> 00:31:32,200 Speaker 1: writer is Jake Fogels. Our production coordinator is Hannah Jacobs. 552 00:31:32,200 --> 00:31:35,920 Speaker 1: Said this episode was engineered, mixed, and edited by Nick Stuff. 553 00:31:36,240 --> 00:32:03,080 Speaker 1: Until next time, Ron Bernie stand, oh you bad, no, 554 00:32:03,360 --> 00:32:06,440 Speaker 1: your bead No, you're such a dirty, bad ground