Baseline + Anomaly = Decision

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Hello everyone and welcome to the Human Behavior Podcast.
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We've all been trained by the news, social media, and bad advice to hunt for red flags.
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But what if that obsession is making you miss the most important part of every situation?
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In today's episode, we're breaking down what might be the most powerful and most overlooked tool for reading human behavior.
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Baseline plus anomaly equals decision.
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It sounds simple because it is simple, but when you understand how to build a high fidelity baseline, you'll start seeing things that others miss.
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You'll stop chasing shadows and start recognizing patterns.
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You'll learn how to spot a problem before it becomes a threat.
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And you'll see why weird isn't always dangerous and why normal is the key to everything.
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This episode will challenge how you look at people, places, and behavior and give you a tool that you can use today.
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Thank you so much for tuning in.
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We hope you enjoyed the episode, and don't forget to check out our Patreon channel for additional content and subscriber only episodes.
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If you enjoy the podcast, please consider leaving us a review and more importantly, sharing it with a friend.
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Thank you for your time and remember, training changes behavior.
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Alright, Craig, we're going to go ahead and get started.
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We have a good one today, and we're going to be talking about well, we're going to be talking about normal, typical, I guess, I guess in a sense, we're going to start there.
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Today's going to be vanilla, in a sense, which is often overlooked as being the most important part.
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And what I mean by that is when we start talking about behavior and people want to, you know, talk about things they've seen or things that are odd or different, or this is unusual, they they start with that, the thing that's unusual, or the thing that's different, or I don't like this.
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And you know, there's a cultural obsession with that, with like, oh, that's a red flag, or that's an anomaly, or or you know, that that's that's not that's different, or that's odd.
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And you what you're not understanding when we do that is that you're you're missing the the key important part.
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And this is why, you know, we have a very simple algorithm that we teach that has to do with everything we do with human behavior, but but in decision making and sense making and problem solving.
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And that one is the baseline plus anomaly equals decision.
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And and this B plus A equals D is the most elegant way I've seen that you can use in any situation, anywhere in life, to kind of figure out what's going on and make an accurate comparison, right?
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Because every perception we make, everything we see is sort of based on our own past experiences, and it's it already is a comparison.
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So the reason why I kind of wanted to jump into this today because we we we talked about baselines and anomalies and decisions in all kinds of different episodes, but we've never really broken down exactly where this algorithm came from, why it's significant, how to use it really effectively, and really focusing in on the most important part, that baseline or that context for the situation.
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So this all came from too, I mean, from from your work a long time ago, and then really started getting out there with when you, you know, you you helped develop the Marine Corps Combat Hunter program.
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And so, you know, you had to you had to have a simple way to go, all right, well, what what do I do?
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All right, I've I've figured out the situation.
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This is what I think I see, I gotta make a decision.
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And that's all based on another things that we're gonna get into, but it's it's a very and I use the term elegant algorithm in a way, elegant in the scientific term, meaning it's the it's the most simple thing that you can use for this, and then you can kind of go as far in detail as necessary.
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So that's sort of the preview, Greg.
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But but you know, what the the point of this episode, and we're gonna get into all kinds of different examples.
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I'm gonna explain everything, what this means, but the point of this is that we all miss the most important part, or typically I see the most important thing.
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And you know, everyone wants like this list of things.
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What should I look out for?
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Like a you know, a s who's gonna be the one that's a school shooter.
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Give me the list of things I need to look for, give me the list of things I need to look for in this crowd of the person that's gonna do something.
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And that just simply doesn't exist.
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It really, really doesn't exist because none of these, you know, behaviors are are are they're all meaningless, you know, without some sort of context.
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Or or there's they're so obvious that it's you don't need to name it, you don't need a list for it, right?
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It's like it's something so that that any lay person would go, well, that's a problem, you know what I mean, right there.
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And so so the it's almost like you're wasting your time trying to do that because depending on what you're looking for, it might change.
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And and so, in tactics and techniques, and procedures and things change over time.
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So, what we're really focusing on today is this baseline plus anomaly equals decision, explaining what it means, but really, really understanding how important baseline development is in no matter what situation, before you make any type of comparison.
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So, I want to throw to you real quick, but I forgot to mention before we got on too that it did get the alert we've had.
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So, thank you to everyone listening because we've had now over 250,000 downloads of our podcast.
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So that's a big number.
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So we appreciate it.
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So continue sharing it with friends.
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We we we really do appreciate that.
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That's the biggest thing you could do.
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There's always more on Patreon, but but just sharing it and giving us a thumbs up and a like and stuff, it goes a long way for getting this stuff out here.
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So, Greg, I want to throw you where to start if you want to start with the the historical 250,000 downloads and why we're not partying.
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Woo-hoo! Yeah, does that translate to any money at all, Brian?
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Uh technically, loosely, you can draw some lines from here to there, but we're not at the point yet where we're we're we're in a sense heavily monetized from this.
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But it it isn't well, it's it's enough to pay it's enough to pay for all this stuff, like the subscription and this stuff.
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Yeah, so that's why, and shout out to our Patreon members for that as well, because it allows us to keep doing this.
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But I yeah, one of the that was a big, huge 30,000 foot overview.
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So let's go ahead and jump in, Gregory, maybe give some historical context too, if you want.
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So, so and inshallah to the 250,000 downloads, that's amazing.
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So, what I wrote down the first, first of all, incredible intro.
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It just it nails it from so many different angles and gives us so much to do.
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You watch a person wearing their baseball cap backwards, and the first thing I want to do is slap it off their heads.
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Because it's like, do you understand what that brim is for?
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Do you understand what that's designed to do, right?
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And so that's the that's the gun, the remember Gunny lens.
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He said there's two people authorized to wear hat backwards, snipe snipers and catchers, and you're not one of them.
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Remember, he said around.
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So and what I mean by that is like Brian, you brought up such great points, but let's go back for a minute to the enhanced or the Combat Hunter program.
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And the first thing I wrote down is enhanced optics and observation.
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That's a simple skill.
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That's that's physics and science and prisms and distance and comparison.
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So what you do is you go, wow, that's not a leaf or a tree.
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That's somehow different from the other things around it.
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So let's dig a little bit deeper, okay?
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It's okay to say different there.
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That's okay.
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Then all of a sudden you go, all right, well, tracking.
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Well, tracking is merely a protracted game of tag, it's transfer evidence awareness.
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Okay, that piece of fiber isn't organic to this environment, so therefore it must have been deposited there by somebody else.
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So if we follow up on that.
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Okay, so it's different from from what I'm looking at.
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Now I'm not afraid of the word different, but what happens is when we look at the third leg, the third pillar, which I did, which is human behavior profiling, when you start saying different or odd or unusual, you start walking back science and going with opinion-based testimony, and it's gonna blow.
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So, what do I mean by that?
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So there's a lady that Shell and I know that always has a different color hair, and it's not hair color found in a bottle that you would ever buy.
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No, it's uh uh vivid purple, okay?
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It's uh bright blue, like smurf blue, you know?
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And and the idea is that people would look and go, man, that's an odd character.
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We better keep an eye on her.
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No, that's that she's an individual.
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That that's her way of coping with her environment.
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When in no mega episodes, folks, when you look at somebody and you go, they're unusual, that's an internal baseline.
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You're comparing that to what you do at home, how you view the world, the gosh damn profile you set on your computer, what Instagram site you visit and everything.
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And that's no comparison at all.
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There's no science behind that, unless what you want to do is go, I don't want to spend the rest of the afternoon with this person.
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You know, it's likely I I'm not going to, you know, swipe right or left.
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I don't know what direction anymore, because I go both ways, literally and figuratively.
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But the idea here is that the idea behind baseline plus anomaly equals decision is if you have a robust enough baseline, what's clinically normal for the environment that you're observing, then anomalies will out themselves.
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And the idea behind that is that they're pushed out by the environment because they don't naturally fit.
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And a gr a great way of thinking about that is if you look at the text on a page.
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So whether you print out like a word doc or you're reading a book later or you're looking at a magazine, all those lines, you notice there's not real stadia lines.
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There's there's not a black line under those words.
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They just follow a line, okay, and they're all in an order that when you look at them, you go, wow, that that's pretty neat.
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Look, left to right, it's perfect.
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If one of those letters was a quarter of an inch below the rest, or or a sixteenth of an inch, or it was bold, or it was red, and everything else was black, it would stick out, wouldn't it?
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And those things would make you wonder way a reasonable person wonder, hey, I wonder what's up there.
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So an anomaly is something that isn't what we expected.
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It falls below our expectation.
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It isn't what we've seen the thousand times that we got up in the morning and went to that Starbucks or started our car or anything.
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Like you ever go out and start the truck on a cold morning and you go, Wow, I don't know what that sound is, but that certainly isn't normal.
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It's not normal based on what, Brian.
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So the idea is that you can use an internal baseline by comparing it to the external baseline for normalcy baseline, and then determine anomalies.
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But what you can't do is you can't walk around through life going, well, that's different.
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That's that's unusual.
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Therefore, there's anything associated with it danger, likelihood, opportunity.
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You can't do that.
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And and science proves us out on that.
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That's why math is consistent, that's why science is consistent.
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If it falls outside of this normalcy for a mathematical equation, then guess what?
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Your answer is gonna be wrong every time.
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And and now that's what we are going for is a scientific scrutiny, a level of scientific scrutiny that can be repeated.
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And if it can't be repeated, right?
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And you said something, let me add this too.
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I'm gonna go just a little deeper on the final comment.
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You you said about schools.
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Look, we have resigned ourselves to the fact that we're gonna take a look at babies in the womb, follow them into the delivery room, go out to maternity, and at some point we're gonna be able to pick out third row, second kid in, he's gonna be our mass killer, he's gonna be our shooter, he's gonna be something else.
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Brian, those those don't exist.
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One day, maybe genetics and DNA and some blood profile.
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You might be able to tell a kid that's likely to have cancer later in life or likely to have you know a bad prostate or something.
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But but the idea of saying this person's gonna split some wigs, you can't do that.
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But you know when you can do it?
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When you're glass in the parking lot and you see somebody back dragging a heavy bag from their uh can and it you get what I'm trying to say?
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So we stick to a very simple algorithm that's been proven for thousands of years in any enclave of humans, and it's repeatable.
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So if you are looking for a very simple program, just write down B plus A equals D, you don't even need us anymore.
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That alone will get you through every day.
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And that that's that's that's the point here about why I say it's so elegant.
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Like if I start looking at everything and is a baseline plus a nominal equals decision, one we'll we'll get to everything, but just the baseline, right?
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So if I heavily define the context of the situation that I'm in, the time of day, the location, the weather, the this, and then all of the typical or likely behavior I should expect to see there based on my experience, based on what I know, what's typical or normal.
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And we really mean that in a clinical sense.
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I like that you bring up the you know, someone with the blue hair or the oh, they've got this bumper sticker on their car.
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It's like, yeah, all humans are on transmit.
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They like to send their message out and let everyone know what they're thinking.
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That that's not that's not odd, that's not different, that's that's normal, that's typical human behavior.
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Uh the kid acting up in class, okay, that's typical.
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Kids do that, right?
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So, so what you have to start with is really focusing on what that that environment is and what you should really expect to see based on everything you know.
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And and so if you just focus on getting better and better and adding more and more information to that, like you you you said, you know, like a robust fidelity-filled baseline.
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So, what you mean and by fidelity is well, actually, why don't why don't you explain what you mean by like a fidelity-filled baseline?
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Yeah, yeah, yeah.
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So the amount of granularity, the amount of differentiation, the amount of comparable alternatives and various functions of what you're looking at make it robust, meaning you put time into it and and worked at it.
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And fidelity means that all of those components working together are what makes the Monet, what made the Mona Lisa, what makes this rich tapestry that you're looking at.
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And the more components that are in there that have to be there to create that vision that you're looking at, make it easier for you to say that's sticking out.
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So if we go to the zoo and we're looking at everything, but we come to a cage that has a turnip, we're gonna know that the turnip is somehow different because it's not a fur-bare environment like all the other ones that we wanted to touch at the petting zoo, right?
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So so the idea is that when we endeavor to go robust, we say that we're gonna go with the scientific method.
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When we just look at a person and go, man, can she imagine?
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Look at those slacks.
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That doesn't go with that top.
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That person's a little odd and now they're somehow different.
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No, because we're all individual snowflakes.
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We're all, like you said, always on transmit and we're always competing for some form of attention.
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Even if we're quiet, the quiet person, the wallflower in the room, are they not, you know, transmitting their intent?
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You know, so so if we just go by that, if we go by like personality or a person's sense of humor or their manner of dress, what we're gonna do is we're gonna get into a binary.
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I like it, I hate it.
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And then once we do that, now it's emotional-based testimony, and and it's not gonna be uh rigorous, right?
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We want something rigorous that we can shake and look at and hold.
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There, there's there's like you said, there's no rigor, and then there's no there when it's emotionally based or values-based, or you know, I I don't or idea uh ideologically based, and and and that almost never matters unless it's something so incongruent with what a baseline should be.
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So, like by Fidelity Field baseline, like I I look at it this is like if you come up and say, Well, I saw this weird thing in the parking lot, and in this parking lot, it's like, well, well, hang on.
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If you start with it was the parking lot of a Walmart at in a small town in whatever, outside of a major area next to the inner state at 10 o'clock in the morning on a Sunday, that okay, I'm now I yeah, I can build in exactly now.
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I understand the relevance of your observation.
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Now I understand why that's different.
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But if I don't do any of that and I'm just trying to focus on these individual things, well, that's that overemphasis on this anomaly part.
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That's that you're putting your finger on the scale.
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And you even said, like, if you if you're especially if you're trying to communicate that message, right?
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Well, now I'm already if I it's it's like why we why we don't use the term suspicious.
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Hey, that's suspicious.
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It's like, okay, if I tell you something suspicious, what do you automatically start doing?
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You're gonna start looking for reasons why it's suspicious.
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If I go, hey, that's interesting to me, shit.
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I have no idea why you find it interesting.
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So I have to figure it out too.
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And then maybe I'll come to the same conclusion that you did, and now that adds a little bit more rigor to it.
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So it's this focus on on this baseline, and and we forget, and this is where you know people kind of forget how much they already know.
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Because you know, most humans are so down and in, but because we go to the same places every single day, like we don't attend to any of this stuff in our environment anymore because we're so technologically focused, you're just kind of on autopilot.
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It's like when you go somewhere and you're driving for a while and you're kind of out of it, and then you get home and you're like, holy shit, I don't remember any part of that ride, right?
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Because your brain switched to autopilot in a sense.
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So but but what you actually have is so many file folders, so much there that you see every day.
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You you sort of take it for granted and you don't notice.
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It's not interesting, it's not new, it's not novel to you.
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So your brain just throws it back.
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But what we're saying, it's like that's the most important part, right?
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So, like it's not unlike you know, watching a movie or TV show, the set dressing, the background, that's all there to give the relevance to what the main characters, the two of them are having a conversation about.
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Without all that stuff, it was just on a sound state, it would then that it wouldn't have any meaning whatsoever.
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And it would not even it, it would be just it'd be nonsense to you.
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You'd be like, I don't understand anything that's going on.
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So that all provides a context.
00:17:46.240 --> 00:17:53.839
So the better I get at developing that context, this baseline, like like you said, and and you could kind of explain this a little bit.
00:17:54.079 --> 00:18:00.000
So what you said was if I get I don't have to proactively, in a sense, look for anomalies.
00:18:00.079 --> 00:18:08.960
I just have to get really, really good at understanding what the baseline is, and then those anomalies sort of emerge or appear on their own, or they come from that.
00:18:09.039 --> 00:18:10.480
What do you what do you what do you mean by that?
00:18:10.720 --> 00:18:24.799
So so listen, if you're a copper, if you're in corrections, if you're LE court, uh fire, first responder, HR teacher, all that other stuff, you have to actively hunt for anomalous behavior in your baseline every day, or you're gonna be surprised by it.
00:18:24.880 --> 00:18:26.160
There's the jack in a box.
00:18:26.319 --> 00:18:35.680
But the average human being going around their day, an anomaly is going to present itself because it's going to be outside of the norm and it's going to give you pause.
00:18:35.839 --> 00:18:39.279
You're going to pause for a minute and go, hey, wait a minute, there's an empty parking spot.
00:18:39.359 --> 00:18:40.240
My car was here.
00:18:40.480 --> 00:18:43.359
You're going to say, hey, listen, where is my phone?
00:18:43.519 --> 00:18:45.920
I had a run Bailey's phone tour last night.
00:18:46.000 --> 00:18:48.160
We had a whole bunch of different things that were going on.
00:18:48.319 --> 00:18:52.559
Uh, Nico's on a fire, Bailey's on surgery, Shell and I are watching the baby.
00:18:52.640 --> 00:18:55.200
We had switch cars and stuff, so now the phone's missing.
00:18:55.440 --> 00:18:57.200
You can't be on call and not have a phone.
00:18:57.440 --> 00:18:59.200
Okay, so why is that important?
00:18:59.279 --> 00:19:01.519
Well, where's the last place that I that I put the phone?
00:19:01.680 --> 00:19:02.799
That becomes the anomaly.
00:19:02.960 --> 00:19:04.079
Well, I had your truck.
00:19:04.160 --> 00:19:05.279
I bet it's in the truck.
00:19:05.359 --> 00:19:06.240
That's likelihood.
00:19:06.400 --> 00:19:14.319
So the idea is that having a robust baseline, even if that baseline is in progress, even if you're building it on the road, then guess what?
00:19:14.480 --> 00:19:16.960
Those anomalies will come up and they'll stick out.
00:19:17.119 --> 00:19:22.960
So, so why do we why is there an over reliance from us at Arcadia?
00:19:23.119 --> 00:19:25.759
And we start talking about observation methods.
00:19:25.920 --> 00:19:30.640
We talk about the, you know, surveillance and and the more you watch something, the better you're going to learn.
00:19:30.799 --> 00:19:35.759
Well, you know, I I had four months ago into the doctor's office pretty gosh damn regularly here.
00:19:35.920 --> 00:19:51.119
And one of the things I noticed about the doctor is in their office they used a microscope and he had a light source to look in my mouth and in my ears, and he used x-rays to look inside of me, and then he had people analyze things uh with other scientific methodology.
00:19:51.359 --> 00:20:01.839
Why would we not want to put something on the glass and have sustained observation and compare things in our environment when the best of us does that all for a living?
00:20:02.000 --> 00:20:03.920
Why why do we have a movie critic?
00:20:04.079 --> 00:20:07.119
Why do we why do we compare what the best book is?
00:20:07.359 --> 00:20:11.359
Because we understand that there's a hierarchy, and it's not Maslow, you fuck.
00:20:11.680 --> 00:20:17.440
It's a hierarchy of how things make themselves aware to us, and some things become more important.
00:20:17.680 --> 00:20:19.839
The engine warning light, that's more important.
00:20:20.000 --> 00:20:23.119
Our kid not wanting to get out of bed and being mopey in the morning.
00:20:23.279 --> 00:20:25.920
Is there a problem at school, or does a kid have a fever?
00:20:26.079 --> 00:20:31.680
So all of those things would not be possible if it wasn't for the baseline, the beginning.
00:20:31.839 --> 00:20:35.839
The baseline is the thing with which we can compare.
00:20:36.000 --> 00:20:42.079
And so if we have a faulty baseline or we rely too much on an internal baseline, there's no comparison.
00:20:42.240 --> 00:20:45.200
And that's what I mean, like with tracking, transfer evidence.
00:20:45.279 --> 00:20:45.920
It's very easy.
00:20:46.000 --> 00:20:47.759
That shoe impression wasn't there.
00:20:48.000 --> 00:20:51.839
Let's take a moulage and walk around till we find somebody with the same shoe.
00:20:52.000 --> 00:20:53.119
Okay, that's pretty easy.
00:20:53.200 --> 00:20:57.279
Uh optics and observation when you're scanning, go right to left.
00:20:57.359 --> 00:20:57.680
Why?
00:20:57.839 --> 00:20:59.519
Because you were born reading left to right.
00:20:59.680 --> 00:21:01.440
Reverse it if you're overseas.
00:21:01.599 --> 00:21:06.079
And and the idea is that your brain will go, that's anomalous for you.
00:21:06.319 --> 00:21:12.640
So, so you're already set up survival-wise for you to see these anomalies.
00:21:12.880 --> 00:21:23.440
If you add being trained to hunt for them and and you learn a little each day to actively look for them and compare in your environment, imagine how good you're gonna be in a short time.
00:21:23.599 --> 00:21:25.680
Imagine what you can do in a week or a month.
00:21:26.079 --> 00:21:34.079
And and that you you bring up a uh a number of good points, which is why we use this structured methodology on how to do this.
00:21:34.240 --> 00:21:43.440
Because, like you said, technically, you know, unconsciously, your brain is constantly trying to look for things in its environment that's gonna hurt you, right?
00:21:43.519 --> 00:21:45.519
So it's constantly going, like, is that gonna kill me?
00:21:45.680 --> 00:21:46.319
Can I eat that?
00:21:46.480 --> 00:21:47.599
Can I appropriate with that?
00:21:47.759 --> 00:21:50.720
And it's very, very simple, it's very, very primal.
00:21:50.960 --> 00:21:59.759
And so, because that's already happening, we have this like we we we we automatically want to go to sort of the worst case scenario.
00:21:59.839 --> 00:22:01.440
We automatically want to think this.
00:22:01.519 --> 00:22:03.680
I mean, just like look at every news story that comes out.
00:22:03.759 --> 00:22:07.599
It's just this is breaking news, and this is the end of the world, and everything, like, what the hell?
00:22:07.680 --> 00:22:09.039
Like, what's going on here, right?
00:22:09.119 --> 00:22:12.880
I mean, not giving me any context, you're giving me all this, this is why this is so different.
00:22:13.119 --> 00:22:16.640
But but we're prime that way, in a sense, as human beings, right?
00:22:16.720 --> 00:22:21.519
That that helps us in survival, and so it wants to put it in, and so this is different.
00:22:21.680 --> 00:22:22.480
I don't like it.
00:22:22.559 --> 00:22:29.759
There's something up here, and you kind of have to to take over that system in a sense, say this is different, this is why I do it.
00:22:29.839 --> 00:22:35.359
It's like so this seems odd, or this seems different, this seems incongruent, it's interesting to me.
00:22:35.680 --> 00:22:37.599
Let me let's make it normal.
00:22:37.759 --> 00:22:38.880
How do I make this normal?
00:22:39.279 --> 00:22:51.519
Because if I then try to make it normal, it's likely gonna be go, oh, now I see the baseline, now I get it, or it's not, and like you said, it's gonna stick out even more and go, well, hang on, this is something I really have to attend to.
00:22:51.599 --> 00:23:07.839
So, like real quick example is like just the other day, I go to pick up the terrorist from school and I'm leaving in the afternoon, and a neighbor's uh garbage is out, but I'm you know, people put their garbage out the night before or whatever, you know, and I'm like, okay, well, let's that's weird.
00:23:08.160 --> 00:23:09.599
It's not garbage day tomorrow.
00:23:09.759 --> 00:23:12.480
I wonder, you know, maybe they're maybe they're going out of town.
00:23:12.559 --> 00:23:12.720
Sure.
00:23:12.880 --> 00:23:15.839
So they put it out the night prior, or you know, they're not gonna be there to do that.
00:23:16.000 --> 00:23:21.039
Like, okay, and then I go pick them up and I come back, and now a few more garbage cans are out.
00:23:21.200 --> 00:23:22.079
I'm going, wait a minute.
00:23:22.160 --> 00:23:24.559
And then I'm going, oh crap, it's Tuesday.
00:23:24.720 --> 00:23:26.000
I thought it was still Monday.
00:23:26.160 --> 00:23:26.559
That's right.
00:23:26.720 --> 00:23:27.759
Tomorrow is garbage.
00:23:28.400 --> 00:23:33.200
So it so that that that anomaly was like, hmm, I gotta figure out what that is, or that's interesting to me.
00:23:33.680 --> 00:23:34.480
Screaming at you, though.
00:23:34.559 --> 00:23:36.720
It but it was so presented itself, right?
00:23:36.880 --> 00:23:38.480
But that was because, and this is something you brought up.
00:23:38.559 --> 00:23:42.079
This is because my at that moment, sort of like I got the baseline wrong.
00:23:42.559 --> 00:23:43.920
I had the wrong day of the week.
00:23:44.000 --> 00:23:53.279
And so this is why this is so important, because if you start off in the wrong baseline, everything that comes after that is gonna be shit.
00:23:53.440 --> 00:23:58.000
Meaning it's it's not gonna work, it's gonna be bad math, it's not gonna add up, right?
00:23:58.160 --> 00:24:07.599
If I don't have that, that the the the initial primary thing from which I'm comparing everything to, if that's not clear, that's a little off.
00:24:07.759 --> 00:24:12.319
That's a little like you know, the you know, maybe I'm a little off on my my dope on my scope.
00:24:12.400 --> 00:24:13.119
Well, yeah, guess what?
00:24:13.200 --> 00:24:15.440
A thousand yards later, you're not hitting anything, right?
00:24:15.599 --> 00:24:22.319
And that that's the idea is like, and this is why we focus on that so much, and a lot of our exercises do that and and and how we do that.
00:24:22.400 --> 00:24:38.480
We we we we have a whole bunch of different ways, like our first principles and the domains and stuff that we talk about, that how to make sense out of this, but as a as just a very powerful tool, like I have to look at what is normal, what is typical in everywhere I go.
00:24:38.559 --> 00:24:40.000
And there's certain things that I know.
00:24:40.240 --> 00:24:53.279
You know what a gas station is supposed to look, operate, feel, smell like at different times of the day in different neighborhoods, a parking lot, whether it's at the mall or it's at a small strip mall or it's the neighborhood, whatever.
00:24:53.359 --> 00:24:58.240
Like, you already have these file folders, these experiences from which you can draw from.
00:24:58.400 --> 00:25:01.279
And and that comes from your just life experience.
00:25:01.519 --> 00:25:08.720
And so if I'm thinking about that and always trying to develop my baseline as I go through and what's typical, what should I expect to see when I get there?
00:25:08.880 --> 00:25:13.119
Like, that's when you get the time and distance, in a sense.
00:25:13.200 --> 00:25:19.680
That's when you get more time and distance because, like you said, now I can see those anomalies way farther out.
00:25:19.759 --> 00:25:22.000
It's not, it doesn't have to be right up my face anymore.
00:25:22.240 --> 00:25:24.160
Yeah, and and let's think about that for a minute.
00:25:24.319 --> 00:25:28.319
Let's just use a gas station, one of Brian's favorites, but any place would work.
00:25:28.640 --> 00:25:29.359
Spend a lot of time in there.
00:25:30.000 --> 00:25:48.480
If you take a look at an urban versus a rural environment, if you take a look at a picnic that's at the you know community community center in a rural environment, and somebody going behind a building uh away from the crowd to urinate, that's not you know untoward.
00:25:48.640 --> 00:25:50.880
That's not something that you would be unexpected.
00:25:51.119 --> 00:25:52.319
It's you know pretty routine.
00:25:52.480 --> 00:25:55.440
There's only a couple of bathrooms, the bathrooms are full, we're outside.
00:25:55.599 --> 00:25:57.440
Hey, we're out in the woods, nobody can see me.
00:25:57.519 --> 00:25:58.160
We're gonna do that.
00:25:58.240 --> 00:26:05.599
Now, if you change that, and that's somebody in a place where there's cubicles, and they go down to the last cubicle and urinate, that's gonna stick out.
00:26:05.759 --> 00:26:06.160
Why?
00:26:06.319 --> 00:26:07.920
Because you haven't seen that before.
00:26:08.000 --> 00:26:15.200
So now you're at the gas station, and instead of coming up to the counter to pay, the person comes up to the counter and defecates on the counter.
00:26:15.359 --> 00:26:19.599
That's gonna stick out to you, and you're going, well, you know, I anybody would see that.
00:26:19.759 --> 00:26:21.359
No, people don't fucking see that.
00:26:21.440 --> 00:26:26.319
And that's how a place right in front of you gets robbed, and the dude people do gas drive-offs and all that other stuff.
00:26:26.559 --> 00:26:30.880
All of the behavior that you've been conditioned to expect, that's the baseline.
00:26:31.039 --> 00:26:33.759
And what happens is it becomes normal over time.
00:26:33.920 --> 00:26:35.839
The gift of time, okay?
00:26:36.000 --> 00:26:41.440
And distance means that distance in a linear sense, but disturb distance in the spatial sense as well.
00:26:41.680 --> 00:26:43.759
I'm the fly in the wall observing this.
00:26:43.920 --> 00:26:46.640
Then I'm conducting the experiment, then guess what?
00:26:46.720 --> 00:26:47.680
I'm the lab rat.
00:26:48.000 --> 00:26:50.160
And each time gives you a different perspective.
00:26:50.319 --> 00:26:54.720
And each one of those perspectives adds up to the fidelity of your perception.
00:26:54.799 --> 00:27:05.039
And so there now, when you're standing at the counter, the person standing next to you is not joking, not doing anything else, got the hoodie up, looking down, all that other stuff, and you go, well, this is early signs of drive-by.
00:27:05.279 --> 00:27:06.480
You know, we're gonna get robbed.
00:27:06.559 --> 00:27:14.400
Okay, what sends your hackles up, what gets your blood going, is your brain and and and your electrochemical neurotransmitters are already there.
00:27:14.559 --> 00:27:16.240
They're already going survival situation.
00:27:16.319 --> 00:27:18.559
This is odd, getting the rapey vibe, whatever.
00:27:18.640 --> 00:27:20.319
Okay, but who doesn't listen?
00:27:20.480 --> 00:27:21.440
We don't listen.
00:27:21.599 --> 00:27:22.079
Why?
00:27:22.319 --> 00:27:26.160
Because we don't give ourselves the gift of time and distance, and now I'm in a hurry.
00:27:26.319 --> 00:27:28.559
Now I almost am going to be late.
00:27:28.640 --> 00:27:38.960
If I don't do this right now, if these things don't line up, what we do is we go outside of nature and nurture and create a timeline that's unsupportable.
00:27:39.119 --> 00:27:44.160
And and then our brain fights us all day long, and we wonder why we have so much fatigue.
00:27:44.400 --> 00:27:46.000
Listen, we were stronger.
00:27:46.160 --> 00:27:52.000
We we we had to work harder, we had to run faster, or our environment would kill us.
00:27:52.160 --> 00:27:57.200
Now our environment is every bit as dangerous, but we think that tech is gonna take care of us.
00:27:57.359 --> 00:28:00.000
We know that ChatGPD will clean up my editing.
00:28:00.160 --> 00:28:09.200
We know that this, see, Brian, so so the more reliant we become on that, the less we have that granularity-filled, fidelity-filled baseline.
00:28:09.599 --> 00:28:12.880
Every once in a while, man, you got to stop and you got to smell the roses.
00:28:13.039 --> 00:28:14.000
You know where that comes from?
00:28:14.160 --> 00:28:16.799
You know, you know where that those terms come from?
00:28:16.960 --> 00:28:20.000
It's because people didn't and they got hit by the horseless carriage.
00:28:20.160 --> 00:28:25.279
They the idea is that if you're not tuned into your environment, then guess what?
00:28:25.440 --> 00:28:27.680
Getting your baseline wrong could kill you.
00:28:27.759 --> 00:28:29.440
And that's exactly what you're talking about.
00:28:29.599 --> 00:28:31.119
You just had it off by a day.
00:28:31.279 --> 00:28:38.960
Imagine if you had it off by a person or or you know, some other factor that was much more uh dangerous and serious, right?
00:28:39.200 --> 00:28:45.200
And and yeah, and you're you're hitting on a number of things, obviously, you know, a much more reliance on technology and just how we are today.
00:28:45.279 --> 00:28:49.440
And you're more likely to die from from overeating than you're ever going to die from starvation.
00:28:49.680 --> 00:28:58.720
So so you though these sort of unconscious uh primal skills aren't honed, but they're but they're there, me meaning like you you can still use them and get better at them.
00:28:58.799 --> 00:29:13.359
Because even recently I was I was just reading something where you know they thought because of the widespread use of all the GPS systems and navigation systems and cars and everything, like people's ability to critically think and to orient themselves and know where they are, it's like gone now.
00:29:13.519 --> 00:29:20.160
Basically, just everyone's just like an automaton in a sense, and it's really showing in all of these other areas, you know.
00:29:20.240 --> 00:29:31.359
That and so that's why you then have to, okay, we got to get sensors on the car, now it's gonna stop automatically because you know, so we we keep coming up with the technological solutions because as humans we do that, but but that that that's a it's just a great analogy.
00:29:31.519 --> 00:29:48.480
But one of the things you you you mentioned here, not not explicitly, but uh I want to make sure everyone understands it, is sort of the the idea that this when you when you talk about a baseline, it's not something that is just okay, here's now here's the checklist for the baseline, or here's write it out.
00:29:48.559 --> 00:29:53.519
Meaning it's it's something that's dynamic and and constantly in flux.
00:29:53.680 --> 00:29:57.119
So I have to constantly update the baseline, right?
00:29:57.200 --> 00:29:59.839
That is all that is the thing that's always going.
00:30:00.160 --> 00:30:01.920
Kind of moving and ebbing and flowing, right?
00:30:02.000 --> 00:30:05.839
So what that is and what's typical is is always dependent.
00:30:05.920 --> 00:30:21.200
And the more factors I can use in that, the geographic location, the people there, the time of day, the weather, the you know, the recent current events in the area, whatever, like the more I can add into that, the more sense I can make.
00:30:21.359 --> 00:30:25.119
The more the the easier it is for me to see things at a distance.
00:30:25.279 --> 00:30:29.440
Then I'm going, wait a minute, that guy's did one too many laps around there.
00:30:29.519 --> 00:30:30.160
And you know what?
00:30:30.240 --> 00:30:34.640
He's not looking over at the oh crap, he's going right for the counter, he's going to rob this place, right?
00:30:35.119 --> 00:30:36.960
And and that's where those things stick out.
00:30:37.039 --> 00:30:40.640
And you can see that through the window before you ever walk into the gas station to pay.
00:30:40.799 --> 00:30:41.519
You know what I'm saying?
00:30:41.759 --> 00:30:43.920
It's it's it's knowing all of that stuff.
00:30:44.079 --> 00:30:57.599
And so being able to do that is is important, which is why we talk about some of the principles that we do about human behaviors and why we try to, we're not oversimplifying them, but we are for the sake of this for baseline development.
00:30:57.680 --> 00:31:11.920
Like when we say people are the same all over the world, people are constantly on transmit, people set patterns, like there's take take out this whole motive and the psychology behind it and look at the physics and the neuroscience, right?
00:31:12.240 --> 00:31:14.400
We look for familiarity, right?
00:31:14.480 --> 00:31:23.119
So I'm going to find a place that's cognitively close enough that looks like something I've been to before, and that's where I'm gonna go because that's where I'm comfortable.
00:31:23.279 --> 00:31:29.119
So I can I can expect those things in certain environments, I can have a baseline for myself and do this.
00:31:29.279 --> 00:31:30.559
So exactly.
00:31:30.720 --> 00:31:32.319
So so look at that for just a minute.
00:31:32.400 --> 00:31:33.599
The baseline for yourself.
00:31:33.759 --> 00:31:37.359
That's one of the only constructive and productive internal baselines.
00:31:37.440 --> 00:31:37.759
Okay.
00:31:38.160 --> 00:31:41.680
So look at how we use that with a comparison.
00:31:41.920 --> 00:31:46.000
Always have to have a comparison, or you don't know what you're not gonna know heaven if you haven't been to hell, right?
00:31:46.559 --> 00:31:51.599
The idea is that all humans have the same core temperature, 98.6 degrees, let's say.
00:31:51.759 --> 00:31:54.400
I I don't know if that's accurate because I it is, you got it.
00:31:54.480 --> 00:31:55.920
You're horrible at numbers, yeah.
00:31:56.240 --> 00:31:56.480
Exactly.
00:31:56.559 --> 00:31:59.200
And I'm so afraid to say it wrong, and people go, he's an idiot.
00:31:59.279 --> 00:32:00.319
Uh they'll say it anyway.
00:32:00.480 --> 00:32:01.839
But listen, 98.6.
00:32:02.079 --> 00:32:07.440
So if you're one degree warmer than 98.6, you have a fever and you feel like shit all day long.
00:32:07.599 --> 00:32:11.039
If you're one degree cooler, you're sick and you might be dying.
00:32:11.200 --> 00:32:13.200
Okay, you feel horrible.
00:32:13.519 --> 00:32:16.720
So 98.6 becomes the baseline.
00:32:16.880 --> 00:32:19.839
So the internal baseline for all humans, but guess what?
00:32:20.000 --> 00:32:29.039
This morning, you're not all humans and you're not in society, you're not in community, you're in your bedroom, and you're a degree and a half or two degrees warmer and you feel like shit.
00:32:29.200 --> 00:32:34.480
So the first thing you do is go, I have inoperable brain cancer, and you jump out the third floor window.
00:32:34.720 --> 00:32:40.000
No, what you do is you go, hey, listen, I better, you know, look and see if there's any other symptoms.
00:32:40.160 --> 00:32:55.119
Well, that's what you're talking about by developing that robust baseline, Brian, because the fidelity comes from how much a time you're applying to compare things and say, well, I wasn't this warm when I woke up to pee four hours ago.
00:32:55.519 --> 00:32:58.960
So maybe it just started, maybe this is the beginning of influenza.
00:32:59.039 --> 00:33:00.720
I did and those comparisons.
00:33:00.880 --> 00:33:14.160
So so when you're looking at Billy in the classroom or looking at, you know, Sally in the in the grocery store, you can't put undo things on them and go, well, that kid doesn't have a very high intellectual level, or I don't know what they're being taught at home.
00:33:14.960 --> 00:33:17.920
One, that shit doesn't matter because it's not scientific.
00:33:18.079 --> 00:33:30.240
So take the non-science out of it and go, okay, that kid's clothes are clean compared to kids of that age that I've seen at this time during the day in a non-playground environment.
00:33:30.400 --> 00:33:31.279
You see what I did there?
00:33:31.440 --> 00:33:33.359
You see how that now becomes something?
00:33:33.519 --> 00:33:35.759
And I can repeat that and I can check that.
00:33:35.920 --> 00:33:41.279
And so I'm conducting a social experiment or a physiological experiment.
00:33:41.839 --> 00:33:42.400
And you know what?
00:33:42.559 --> 00:33:49.839
The psychological experiment is okay, but only if you compare it against that person's baseline, not against your baseline.
00:33:50.000 --> 00:33:51.200
Because you're very different.
00:33:51.279 --> 00:33:52.240
You have different tastes.
00:33:52.400 --> 00:33:53.440
What you watch is different.
00:33:53.599 --> 00:33:54.559
I'm a furry.
00:33:54.640 --> 00:33:57.680
I don't understand people that didn't want to do that kind of stuff, right?
00:33:57.839 --> 00:34:00.559
So automatically I'm gonna be suspect of that person.
00:34:00.640 --> 00:34:04.000
And you said we don't want to be suspicious, we want to be interesting.
00:34:04.160 --> 00:34:14.559
So the idea is that I cannot adjust another person's baseline by imposing mine, because that becomes a bias that I is non-supported over time.
00:34:14.719 --> 00:34:18.800
But if I watch and allow it to play out, now I can compare it against them.
00:34:18.960 --> 00:34:19.519
And guess what?
00:34:19.679 --> 00:34:22.880
If we were doing an interview, wouldn't that be called impeaching somebody's testimony?
00:34:23.199 --> 00:34:28.079
I bring you to a story, then I go back and you tell the story again, and none of the facts are the same.
00:34:28.239 --> 00:34:29.119
Well, wait a minute.
00:34:29.199 --> 00:34:32.559
I I know it happened because I did the investigation, baseline.
00:34:32.719 --> 00:34:34.480
Now I'm listening to you, okay?
00:34:34.639 --> 00:34:39.679
It's above or below the baseline, or exactly what I'm looking for, and now I can make a determination.
00:34:39.840 --> 00:34:40.639
Does that make sense?
00:34:40.800 --> 00:34:43.599
I I mean if if not for that comparison, I have nothing.
00:34:43.920 --> 00:35:06.719
Yeah, and and I it's we uh this is another kind of natural part of humans is that we have to we have to like come up with a definitive thing to point to and go, that's the anomaly, in a sense, because the it's it's it's much more difficult and much more complex to sit here and talk about okay, like the what's normal about this shopping center or this grocery store.
00:35:06.800 --> 00:35:07.280
Like, what do you mean?
00:35:07.360 --> 00:35:10.559
It's just like, no, there's so much there that you're taking for granted.
00:35:10.719 --> 00:35:27.840
But it's easy to say, like, I've someone's sharing a story with me, and it's like, yeah, and they showed a video of this thing, and you know, then they're like, Yeah, and see, that's when I knew when he went into his waist, he was gonna come out with a gun, and it's like, Yeah, you were picking up on all that five minutes before that happened, right?
00:35:28.079 --> 00:35:31.119
So but you're so but they weren't cat bang thinking, exactly.
00:35:31.519 --> 00:35:36.320
Yes, and so they go to but this point when they turned into this, it's like no no no no no no no no.
00:35:36.719 --> 00:35:40.239
You are unconsciously aware of all of this other stuff going on.
00:35:40.400 --> 00:35:45.679
That's that's why you knew at that point, but but that's not the point to look at, it's everything after that.
00:35:45.840 --> 00:35:47.039
But we do that just as humans.
00:35:47.119 --> 00:35:52.800
Like, I oh I forgot to wash my you know underwear and we won the championship game.
00:35:52.960 --> 00:35:57.599
Like, well, now I know if I don't wash my underwear, like we're gonna win the championship.
00:35:58.079 --> 00:36:02.400
Like we we we have to point to something, but but this is this is for for all humans to that.
00:36:02.480 --> 00:36:17.199
I mean, that was like a really you know, the the the not washing the clothes is obviously a very, you know, very simple one, but but we do this and we point to it and go, well, that's when they did this, because one, it's easier for me to articulate because that's the odd thing.
00:36:17.360 --> 00:36:21.920
It's hard for me to articulate the baseline, it's hard for me to articulate what's typical, what's normal.
00:36:22.000 --> 00:36:24.880
Yet that's where all the that's where the power is.
00:36:25.039 --> 00:36:26.400
That's where everything is at.
00:36:26.559 --> 00:36:34.480
It's that building that that you know, just and and even even like a baseline of knowledge about an environment or a thing or a you know what I mean?
00:36:34.559 --> 00:36:35.519
Like like politics.
00:36:35.679 --> 00:36:44.639
Everyone talks about politics, and almost no one has a baseline understanding of, especially geopolitics, our political system, how the parties were formed, what our three branches of government do.
00:36:44.719 --> 00:36:50.159
It's like you you you you're you're commenting on all the stuff, but you don't know these fundamental core things very well.
00:36:50.239 --> 00:36:51.920
So, how what are you comparing this to?
00:36:52.000 --> 00:36:53.280
Like that's chaos to me.
00:36:53.440 --> 00:36:55.280
Like you you you have to start somewhere.
00:36:55.519 --> 00:37:06.880
Yeah, and so so two of our very good friends, Walt Settlemeyer, distinguished uh savage, love him to death, my good old friend Darcy, haven't met Darcy Lutzinger yet, but you know of his work and some of the things he's done.
00:37:06.960 --> 00:37:14.400
Uh, both of them spent a significant time as EMTs, paramedics, in an urban environment that was very challenging.
00:37:14.559 --> 00:37:16.880
A lot of danger, a lot of bad things that happened.
00:37:17.039 --> 00:37:28.880
Now, Brian, they had to be dropped into a scene where they only know what they were dispatched to, assess the scene quickly, assess it so they don't get electrocuted or shot or burned up or fall through a hole.
00:37:29.039 --> 00:37:32.159
But then they have to look at a person they've never met before.
00:37:32.320 --> 00:37:37.599
They have to make an assessment on that person, and then they continue to update their baseline.
00:37:37.760 --> 00:37:39.840
Is the pain better now or is it worse now?
00:37:40.000 --> 00:37:42.159
Are you feeling can you breathe better now?
00:37:42.320 --> 00:37:45.039
Why am I bringing that one up of everything else?
00:37:45.280 --> 00:37:49.679
That's what we're talking about when we're saying comparisons against the baseline.
00:37:49.920 --> 00:38:05.039
If an EMT can do it nine times out of ten, much more than that, I'm sure, and come to a successful resolution that this is likely what's going on, and these are the life-saving steps I have to take to transport you to somebody that's even better at it.
00:38:05.199 --> 00:38:12.400
If they do that more, if not, then then every paramedic would be driving in a black vehicle called the death sled, and they would go very slow.
00:38:12.480 --> 00:38:13.760
That's called a hearse, right?
00:38:13.920 --> 00:38:15.440
But instead, they're able to help.
00:38:15.599 --> 00:38:17.679
You know, the the the idea is what do they do?
00:38:17.760 --> 00:38:23.679
They read signals coming from an environment, a rapidly changing environment that's in flux.
00:38:23.920 --> 00:38:35.360
They estimate and judge based on their experiences, this and humans, right, and physiology and science and medicine, they judge these are likely the biometrics that I'm looking for.
00:38:35.519 --> 00:38:36.320
These are the things.
00:38:36.400 --> 00:38:37.599
Now, can somebody fake it?
00:38:37.679 --> 00:38:41.840
Yes, and most of them are experts at figuring out this guy's just a cry for help.
00:38:41.920 --> 00:38:42.639
It's a fake.
00:38:42.880 --> 00:38:48.719
So the idea is that there's so many of our jobs, motor vehicle diagnostics.
00:38:48.880 --> 00:38:53.119
I remember the days of pulling it in and a guy hearing it going, oh, you got a rod, knock.
00:38:53.280 --> 00:38:56.079
We can fix that without ever hooking something up.
00:38:56.320 --> 00:38:57.440
Shelley still does that.
00:38:57.599 --> 00:39:00.719
Shelly's like, okay, your front right tire is about three pounds low on it.
00:39:00.800 --> 00:39:01.599
I'm like, how do you do that?
00:39:01.840 --> 00:39:02.400
I can hear it.
00:39:02.480 --> 00:39:03.519
What do you mean you can hear it?
00:39:03.760 --> 00:39:10.400
But listen, Brian, those sense mechanisms within us are comparisons, and they're comparing to a known.
00:39:10.480 --> 00:39:12.480
And the known becomes a baseline.
00:39:12.639 --> 00:39:23.599
So means and extremes are ways of judging a baseline, and then an anomaly is something that falls outside or above or is absent during something.
00:39:23.760 --> 00:39:24.800
You get what I'm trying to say?
00:39:25.119 --> 00:39:27.760
I mean, and it's so like you say, it's so simple, it's elegant.
00:39:27.920 --> 00:39:30.159
I've heard that my entire life, and it's accidental.
00:39:30.320 --> 00:39:32.000
You think I came to this on my own?
00:39:32.159 --> 00:39:35.039
I'm reading up on all these different things, and it's all one thing.
00:39:35.199 --> 00:39:36.800
Here's the normal, okay?
00:39:36.960 --> 00:39:40.400
And these things are are somehow abnormal.
00:39:40.480 --> 00:39:44.639
And when I find these leukocytes, that means there's an infection here or there.
00:39:44.880 --> 00:39:48.880
So medicine does it, you know, uh science does it, math does it.
00:39:48.960 --> 00:39:50.719
How do you figure out where you made the mistake?
00:39:50.880 --> 00:39:56.480
Well, you line this up, and if it doesn't fit this formula, that's where your you know line of mistaken data is.
00:39:56.559 --> 00:39:56.960
Come on.
00:39:57.119 --> 00:40:00.400
And and so why wouldn't we want to use something this simple?
00:40:00.639 --> 00:40:02.800
Because it improves our everyday life.
00:40:03.199 --> 00:40:08.400
Yeah, and and you know, we we also have this baseline, right?
00:40:08.480 --> 00:40:16.320
You look for anomalies and you kind of got to determine this, you know, what's what's likely, because that's almost always gonna be the answer.
00:40:16.480 --> 00:40:17.760
What could this likely mean?
00:40:17.840 --> 00:40:20.400
And yeah, what what's the most dangerous thing this can be, right?
00:40:20.639 --> 00:40:30.639
And it meaning it continues this comparison process of okay, if this guy's just pulling up to get gas, you know, what else should I expect to see?
00:40:30.960 --> 00:40:37.599
Okay, if this guy's pulling up to gas station because he's gonna rob the place, well, well, what else would I expect to see with that?
00:40:37.760 --> 00:40:40.000
Well, there's other indicators that I should get.
00:40:40.159 --> 00:40:47.440
So you're you're doing that hypothesis testing as you go along, and what you're doing is basically just constantly updating your baseline.
00:40:47.519 --> 00:40:52.159
And if something doesn't go down, your something doesn't fit the baseline, you're still watching more.
00:40:52.239 --> 00:40:54.880
Now we're going, oh crap, this is something different, right?
00:40:55.039 --> 00:40:56.400
This isn't typical, right?
00:40:56.559 --> 00:40:57.599
I have to make a decision.
00:40:57.760 --> 00:41:07.840
And obviously, when you get in a decision, that's you know, one, it's on you, and it's on what your role is, what your goal is, what you're trying to do, the total, you know, the situation itself, right?
00:41:07.920 --> 00:41:09.119
It's going to be different for everyone.
00:41:09.280 --> 00:41:14.079
But but that's less important than all of this stuff up front, all the stuff left on the timeline.
00:41:14.239 --> 00:41:17.199
This first part of it is like the bedrock principle.
00:41:17.360 --> 00:41:22.000
And I think it still continues, and uh any analysis I see, right?
00:41:22.079 --> 00:41:28.239
That's that's when I look for good analysis when someone says, Hey, this is what I think has happened, because of this is what I've typically seen.
00:41:28.400 --> 00:41:29.519
This is what they always do.
00:41:29.599 --> 00:41:40.559
But this time they did this, they said this, or they they they you know, whatever they they changed the way they did things, okay, because they're and knowing what we know about human behavior, there has to be a reason for that.
00:41:40.639 --> 00:41:42.960
There's a catalyst for you to change something that you do.
00:41:43.119 --> 00:41:52.960
So whether it's benign or whether it's something bad, whether it's serious, you you don't necessarily know in that moment, but it has nothing to do with the psychology of that person.
00:41:53.119 --> 00:42:04.000
And I mean, you you brought up some you brought up some great stuff kind of right at the beginning earlier because you're talking about like, you know, nature and nurture a little bit and and how those things play out, and you can predict who's likely.
00:42:04.159 --> 00:42:11.280
No, without a given context, you can't predict the person who's going to be a school shooter until they start taking steps to be the school shooter.
00:42:11.519 --> 00:42:12.400
Yeah, exactly.
00:42:12.639 --> 00:42:27.360
Because if they if they maybe if there was an inner maybe they have a chemical imbalance and they had a bad upbringing and this was happening, and then all and everyone wants to blame those things, it's like, well, yeah, but like if one of those things had changed, then this person may have never done that actually.
00:42:27.519 --> 00:42:30.400
You you can't that that didn't cause this, right?
00:42:30.480 --> 00:42:31.440
It's correlated with it.
00:42:31.519 --> 00:42:33.760
Maybe it's a contributing factor.
00:42:34.159 --> 00:42:42.880
Columbine was delayed a day because when they made their plan, they forgot to adjust for the next calendar year and school was closed on that day.
00:42:43.119 --> 00:42:47.920
That changed everything, and we don't know how many lives that took or saved.
00:42:48.159 --> 00:42:50.639
So you can't make a blanket statement like that.
00:42:50.960 --> 00:42:53.119
And you're you're absolutely correct.
00:42:53.280 --> 00:42:56.480
So, how can we use it in a predictive analysis tool?
00:42:56.719 --> 00:42:59.360
Well, October is domestic violence month, right?
00:42:59.519 --> 00:43:02.559
So domestic violence awareness month is a very important thing.
00:43:02.880 --> 00:43:17.039
So I would ask a cop, and we have, you and I, numerous times, what's it feel like to be able to show up and go into anybody's house at anybody's time, just like the paramedic, you know, even if the person doesn't want you there.
00:43:17.280 --> 00:43:22.639
You know, somebody called, you're showing up at a scene, you're walking in the house, you sit down, you shut up, it's their house.
00:43:22.960 --> 00:43:34.400
And then in that same breath, we talk about it and we go, hey, I wonder how a cop got shot on that domestic when the husband or wife pulled out a gun and the okay, Brian, your home is your castle.
00:43:34.559 --> 00:43:34.880
All right.
00:43:34.960 --> 00:43:37.840
And I'm not talking castle doctrine, I'm talking I know you.
00:43:38.000 --> 00:43:38.719
I know me.
00:43:38.880 --> 00:43:43.199
When we're in a rental car, that rental car becomes our home away from home for a while.
00:43:43.440 --> 00:43:49.280
Okay, so anybody just, you know, the hobo Sam coming and sitting in the backseat and going, hey, nice car.
00:43:49.440 --> 00:43:52.400
Okay, we we would feel a different way against that.
00:43:52.559 --> 00:43:55.280
That would be contrary to our baseline, that would be anomalous.
00:43:55.679 --> 00:43:58.719
Anomalies always feel bad.
00:43:58.960 --> 00:44:00.159
I'm missing something.
00:44:00.320 --> 00:44:02.320
Boy, I'm getting poked in this shirt.
00:44:02.480 --> 00:44:06.239
It's an anomaly because when I wore my t-shirt, I didn't have the same feeling.
00:44:06.400 --> 00:44:10.000
So the idea is we have to remain sensitive to that fact.
00:44:10.159 --> 00:44:23.440
So if we're sensitive to the fact that uh, you know, I'm now I'm on a domestic violence caper, and the husband is being very protective of the home, and I don't predict that he may act out violently, then it's my problem, not that husband's problem.
00:44:23.679 --> 00:44:26.800
Because motive is much less important than intent.
00:44:26.960 --> 00:44:36.960
So now that I'm going, wow, I forgot, you know, imminent domain, I'm in this guy's house, I'm moving stuff around, giving him orders and stuff, and I'm seeing that that's building up the stress, building up the stress.
00:44:37.119 --> 00:44:39.119
It's no longer the original call I was on.
00:44:39.280 --> 00:44:43.840
Now it's him versus me or she versus me, and now it's gonna spill out of control.
00:44:44.000 --> 00:44:46.400
So I can use it as a predictive analysis tool.
00:44:46.559 --> 00:44:48.239
I can say it's not better now.
00:44:48.400 --> 00:44:50.800
It's actually worse now, and comms are getting worse.
00:44:50.960 --> 00:45:06.480
So if I have a baseline for comms, if I have a baseline for cleanliness, if I have a baseline for smell, the more baselines that I have within that complicated central baseline, the more likely I'm going to have my sensors be activated further out.
00:45:06.639 --> 00:45:11.360
And you know, there would be a great thing if we called that something like the gift of time and distance.
00:45:11.440 --> 00:45:12.559
That's all it is, Brian.
00:45:12.639 --> 00:45:21.119
The more sensors that we have, the more robust baselines that we have, the more likely they're going to get triggered like a smoke alarm before the fire starts.
00:45:21.840 --> 00:45:27.760
You know, you just gave actually, for example, just happened to me over the weekend because I had sort of divided attention.
00:45:27.840 --> 00:45:31.519
So I was literally, we're all hanging out, kitchen, living room.
00:45:31.599 --> 00:45:37.119
Like I was cooking, uh putting everything together, getting the grill going, putting the rub on the meat, like doing everything like that.
00:45:37.199 --> 00:45:49.920
And I'm down in, you know, the the insurgent is talking to my wife, and she's talking about because she, you know, we she gets she does some like babysitting for us and for other people and and works, you know, in any way she can.
00:45:50.000 --> 00:45:52.800
She's always like, Yeah, I want to work, I'm making money because we're like, we're not buying you that.
00:45:52.880 --> 00:45:54.079
She's like, Well, what if I use my own money?
00:45:54.159 --> 00:46:01.360
We're like, okay, you know, try to build good habits about saving and this habit, which you have to keep and this, but it, but it's good, and it gives her like she feels empowered, like it's awesome.
00:46:01.519 --> 00:46:02.800
She's like, Oh, I want to buy this thing.
00:46:02.880 --> 00:46:04.719
And my wife's like, I'm not buying you that.
00:46:04.800 --> 00:46:06.239
She's like, Well, I'm gonna save up for it.
00:46:06.320 --> 00:46:09.119
She's like, Okay, like you want to work and do that, like, absolutely, right?
00:46:09.199 --> 00:46:10.639
You want to instill those good habits.
00:46:10.719 --> 00:46:19.039
Well, she was saying, Well, I I buy this, and I but she started, I heard her like kind of arguing, my wife, but I didn't hear it as an argument because I was down and had divided attention.
00:46:19.119 --> 00:46:26.000
I was doing what I was doing, so I was throwing my comments in from the side, thinking we were having a fun conversation or just laughing about something.
00:46:26.400 --> 00:46:27.920
Oh my god, I had no idea.
00:46:28.000 --> 00:46:34.239
She all of a sudden starts, stands up, starts yelling, storms out, runs upstairs, and my wife is just staring at me, looking at me, like, why do you?
00:46:34.320 --> 00:46:35.679
And I was like, What well, what did I miss?
00:46:35.760 --> 00:46:38.320
I was like, I thought we were thought we were in the circle of trust there.
00:46:38.400 --> 00:46:40.239
I thought we were all laughing, joking, having a good time.
00:46:40.320 --> 00:46:42.320
She's like, No, she was getting pissed the whole time.
00:46:42.400 --> 00:46:43.440
That's why I wasn't saying anything.
00:46:43.599 --> 00:46:51.760
That's what, and because I wasn't even attending to that, I the I meaning I had completely misjudged the baseline.
00:46:52.000 --> 00:47:05.039
So, so what I should have seen as anomalies, I didn't because I was so far off on where the conversation had started that I came into that it exploded in my face like a freaking grenade, and I never saw it coming.
00:47:05.119 --> 00:47:07.360
And I was like, oh man, I just sit there apologizing.
00:47:07.679 --> 00:47:09.440
I'm so sorry, I thought we were just joking.
00:47:09.519 --> 00:47:11.679
I didn't really know she was getting upset, you know.
00:47:11.760 --> 00:47:14.239
It and so it was just a but it's it's the same thing.
00:47:14.320 --> 00:47:18.320
It's like, man, I'm I I totally misread the baseline.
00:47:18.559 --> 00:47:22.159
So everything after that point was a complete disaster and catastrophe.
00:47:22.239 --> 00:47:26.320
And I started throwing gasoline on this fire because I didn't know there was a fire.
00:47:26.639 --> 00:47:28.639
So think about how important what you just said.
00:47:28.719 --> 00:47:35.199
And Brian always comes up with these great anecdotes, and folks, you gotta start writing them down and searching for them in your own life.
00:47:35.440 --> 00:47:52.400
Brian, if I'm gonna write a police report, I want to write exactly what happened, but I want to write it with the intent of the judge reading it and the jury hearing it and seeing, wow, I can put myself in that person's shoes at that time and place.
00:47:52.639 --> 00:47:56.400
I can feel what they felt, I can smell and see what they did.
00:47:56.559 --> 00:48:01.280
Most coppers that I know want to get through the report writing process as quickly as possible.
00:48:01.440 --> 00:48:03.519
And they forget to put that fidelity in.
00:48:03.599 --> 00:48:07.519
They forget to put that, you know, hey, it was a foggy morning, I couldn't see very much.
00:48:07.679 --> 00:48:13.840
And, you know, my even my flashlight when I turned it uh on bright, you know, was reflecting more light back at me.
00:48:14.000 --> 00:48:17.519
I had to turn it on low beam, and that complicated the going up the steps.
00:48:17.679 --> 00:48:21.440
And and then I heard something, and you're going, why would you go into that level of detail?
00:48:21.519 --> 00:48:22.559
You're not Stephen King.
00:48:22.719 --> 00:48:25.199
No, I've got to have that jury along with me.
00:48:25.360 --> 00:48:29.840
So they saw what I saw, they felt what I felt, Brian, because then they'll understand what I'm saying.
00:48:29.920 --> 00:48:37.920
And that's why clinically going back, like like again, our friend Steve Pappy, when when Papinfluis takes a look at something, what he does is very good.
00:48:38.079 --> 00:48:44.639
He doesn't just take a look at the the white and the black on the paper and go, hey, look at line 83, you know, the verb that they use.
00:48:44.880 --> 00:48:57.119
What he does is he he takes you back to the story that that that criminal case is reporting about and how the attorney made the jury feel in a specific way, how that caused an outcome.
00:48:57.360 --> 00:48:59.360
So, Brian, that's baselining.
00:48:59.440 --> 00:49:03.280
And and an effective baseline allows us to do that in everything.
00:49:03.440 --> 00:49:06.239
It allows us to relate a story, the allegory of the cave.
00:49:06.320 --> 00:49:08.320
It allows us to keep the attention of the class.
00:49:08.400 --> 00:49:17.360
I've heard death by PowerPoint since you know the late 1970s, early 1980s, and I've seen it a bunch of times, but I use PowerPoint, you use PowerPoint, and you know what?
00:49:17.440 --> 00:49:18.800
That ain't death by PowerPoint.
00:49:18.960 --> 00:49:19.840
So guess what that is?
00:49:20.000 --> 00:49:21.119
That's the wrong baseline.
00:49:21.199 --> 00:49:25.519
That's coming in with an expectation of something that's already wrong before you get there.
00:49:25.679 --> 00:49:31.199
So if we go back to the, hey, I have a fever, I must have brain cancer, and and that's me, you know that.
00:49:31.360 --> 00:49:32.639
I have a headache in the morning.
00:49:32.719 --> 00:49:34.239
I go online, and what do I do?
00:49:34.320 --> 00:49:36.320
I go to that doctor's website, WebMD.
00:49:36.480 --> 00:49:39.360
Yeah, it says, Well, you have heart fluttering.
00:49:39.440 --> 00:49:41.840
And yeah, I tell Brian all the time, I go, I think I'm dying.
00:49:42.000 --> 00:49:42.400
I think I'm dying.
00:49:42.480 --> 00:49:45.360
And then all of a sudden he goes, No, you got a cold, take an aspirin or whatever.
00:49:45.519 --> 00:49:50.320
So, so the idea is the better our baseline, the better our ultimate decisions.
00:49:50.400 --> 00:49:54.960
And that seems like a big jump, but it can be borne out, it can be proven scientifically.
00:49:55.360 --> 00:50:15.679
Yeah, so this is what what I kind of like to do, and I guess this is sort of be for the for the listeners, uh, in a sense, like a challenge or not, you know, just a thing that you can do to get better at this, is whenever you're gonna go somewhere, let's say you're going to pick up the kids from school, you're going to the grocery store, you're going here to run out and do whatever errand you got to go do.
00:50:15.840 --> 00:50:21.760
It's literally before you go, you sit there and go, okay, what should I expect to see here?
00:50:21.920 --> 00:50:23.519
What's it gonna typically look like?
00:50:23.679 --> 00:50:25.760
What's the parking lot gonna look and feel like?
00:50:25.840 --> 00:50:30.400
Right, given this current weather conditions, what should I expect people to be driving like?
00:50:30.639 --> 00:50:31.840
How long will it take me?
00:50:32.000 --> 00:50:32.239
Right?
00:50:32.320 --> 00:50:37.280
What what would you know, where's the construction at my neighborhood, and I know what to expect around that area?
00:50:37.440 --> 00:50:44.000
What and you just start asking all of those questions because then what you do is now you're playing a game and your brain likes that.
00:50:44.079 --> 00:50:46.480
Your brain's going, okay, well, well, let's see.
00:50:46.880 --> 00:50:48.239
Can I prove my hypothesis?
00:50:48.400 --> 00:50:49.280
Was I right about this?
00:50:49.599 --> 00:50:53.679
Was that you know person there at the exact same time every day, or was it different today?
00:50:53.840 --> 00:51:03.280
You know, and so now you're actually attending to those things and now you're proving to yourself, or you're finding new novel things that you otherwise wouldn't have found, right?
00:51:03.360 --> 00:51:05.280
And so it's it's it's all about those things.
00:51:05.360 --> 00:51:18.159
And I love doing that in every parking lot because parking lots are it, you learn everything you ever need about humans at human civilization in a parking lot, especially anywhere near Brian in the parking lot because it's McDonald's parking lot where he's got his washing machine boxing.
00:51:19.280 --> 00:51:19.840
Yeah, exactly.
00:51:20.159 --> 00:51:22.000
He can go in and wash up when he needs to.
00:51:22.159 --> 00:51:25.920
He's got some free Wi-Fi, he's got dumpster for breakfast, lunch, and dinner.
00:51:26.000 --> 00:51:26.639
And guess what?
00:51:26.719 --> 00:51:28.480
If he needs to hitch a ride, it's right there.
00:51:28.960 --> 00:51:29.280
Right there.
00:51:30.880 --> 00:51:34.239
Wait, no, but make for money while people are waiting in the drive-thru line.
00:51:34.320 --> 00:51:36.239
They're not, they can't go, they're waiting their food, you know.
00:51:36.639 --> 00:51:38.159
Make money, money, money, make money.
00:51:38.320 --> 00:51:44.000
So the idea is that I would say that's an assignment that's practical and it's easy.
00:51:44.159 --> 00:51:50.239
So we're what Brian has given you, is given an idea of journaling or diary entries and not dear diary.
00:51:50.320 --> 00:51:51.519
I saw a B today.
00:51:51.679 --> 00:51:54.480
What you're trying to say is look, just drive to work.
00:51:54.559 --> 00:51:55.840
Don't do anything different.
00:51:56.000 --> 00:51:59.760
Just drive to work, and then once you get to work, recount those things that happened.
00:51:59.920 --> 00:52:05.519
I went on the 405, I did this, I took exit 213, uh, full, I did this, whatever.
00:52:05.599 --> 00:52:10.639
You know, I took the 405 to La Cienega, got off at, you know.
00:52:11.599 --> 00:52:12.960
Whatever your home is.
00:52:13.280 --> 00:52:14.320
What are you doing here?
00:52:14.719 --> 00:52:19.840
Write those things down and then write them for your trip to the pharmacy, then write them for your lunch, right?
00:52:20.000 --> 00:52:25.519
And and it doesn't have to be as detailed the first couple of times you do it, because you're not gonna notice as much.
00:52:25.760 --> 00:52:29.920
Then, after three or four days of journaling, now go back and compare them.
00:52:30.079 --> 00:52:37.679
Now yellow pattern and go, look at these trends, look at these things that occurred, then predict where you're gonna be on that fifth day.
00:52:38.320 --> 00:52:39.119
And guess what?
00:52:39.280 --> 00:52:41.920
All of a sudden you see, wait a minute, I'm setting patterns.
00:52:42.079 --> 00:52:44.960
Well, patterns help me build a robust baseline.
00:52:45.199 --> 00:52:56.559
The more things that are repeated over time, and the more things that I can take away and they come back, entropy, the more likely that it's a true baseline comparison.
00:52:56.880 --> 00:52:59.679
And if I have a question about that, enlist the aid of others.
00:52:59.760 --> 00:53:05.199
I call Brian and I go, Hey, I'm taking a look at you know, third guy, second from left, wearing the blue shirt.
00:53:05.280 --> 00:53:06.400
Oh, the blue collared shirt?
00:53:06.480 --> 00:53:07.440
No, blue t-shirt.
00:53:07.519 --> 00:53:08.159
Yeah, I got him.
00:53:08.320 --> 00:53:09.519
Yeah, something's wrong here.
00:53:09.599 --> 00:53:10.880
What what am I picking up?
00:53:11.039 --> 00:53:12.800
Why is this guy so interesting to me?
00:53:12.960 --> 00:53:14.159
And now, guess what we got?
00:53:14.320 --> 00:53:29.280
So, so if I'm the only officer on a traffic stop, if I'm the only person in the HR room conducting an interview, if I'm the only person seeing behavior that's interesting to me in a cafeteria, once I enlist the aid of others and that person has been trained in external baselines, guess what?
00:53:29.360 --> 00:53:30.559
Now we're gonna nail it down.
00:53:30.719 --> 00:53:34.159
We're gonna find those anomalies and make our decision much more quickly.
00:53:34.320 --> 00:53:35.760
And and our brain is designed to do that.
00:53:36.000 --> 00:53:38.400
Myelinization is exactly that process.
00:53:38.559 --> 00:53:42.559
We we take those axons and dendrites and make them faster and stronger over time.
00:53:42.639 --> 00:53:48.400
And our memory and our recall is set up in such a way that if it's survival-based, it's gonna come to us first.
00:53:48.559 --> 00:53:50.159
Fear is a great motivating factor.
00:53:50.559 --> 00:53:52.400
Anger is a great motivating factor.
00:53:52.559 --> 00:53:58.800
Those are things we forget, those are simple lessons that we forget that can really help us make a better baseline.
00:53:59.119 --> 00:54:05.679
Well, you yeah, one being you're it's it's it's happening already, like your brain's already doing this process.
00:54:05.920 --> 00:54:06.320
Exactly.
00:54:06.559 --> 00:54:16.559
So if you're not informing with with good information, meaning if you're not adding to that baseline, or your your limbic system is going to make a decision for you.
00:54:16.800 --> 00:54:18.800
And it could very well be the wrong decision.
00:54:18.960 --> 00:54:20.320
And and that that's that's the thing.
00:54:20.400 --> 00:54:30.559
It's like if you're not understanding that this is a system, you know, I we we people kind of talk about it like, oh, you got your you know, your your limbic system hijacked you.
00:54:30.639 --> 00:54:33.760
It's like, no, no, no, your limbic system is always driving the bus.
00:54:33.920 --> 00:54:35.920
You have to hijack it, like you have to be the one.
00:54:36.400 --> 00:54:38.079
Knocking out the window, running alongside of it.
00:54:38.159 --> 00:54:40.320
Yeah, yeah, like it's open the door, wait, hold the bus.
00:54:41.760 --> 00:54:42.800
So that that's a good thing.
00:54:42.880 --> 00:54:53.280
But you you also actually brought up a really good one as like sort of what you usually say, like enlist the aid of others, if asking that person at the person working at the grocery store, hey, typically I see this.
00:54:53.440 --> 00:54:54.079
Is there a reason?
00:54:54.239 --> 00:54:57.039
Oh, yeah, we're out of stock on that, or we got this new one in.
00:54:57.199 --> 00:54:59.679
And so you're already giving them a baseline.
00:54:59.760 --> 00:55:00.719
You're giving it to you.
00:55:00.880 --> 00:55:04.000
I did it, I did it the other day at our local city market.
00:55:04.159 --> 00:55:09.679
I I went up to a person that was stocking shelves and go, hey, I hate to bother you, but this guy's high in the shoplifter list.
00:55:09.760 --> 00:55:10.639
Am I safe here?
00:55:10.800 --> 00:55:13.280
And all I wanted to do is point out an anomaly.
00:55:13.440 --> 00:55:14.880
I wasn't sure what was going on.
00:55:15.039 --> 00:55:21.199
This could have been old homeless Pete, it could have been set up for a robbery, or this guy comes in every morning because he's walking his dog.
00:55:21.360 --> 00:55:22.079
I didn't know.
00:55:22.239 --> 00:55:22.960
So guess what?
00:55:23.119 --> 00:55:24.079
I asked a question.
00:55:24.239 --> 00:55:25.039
I threw the rock.
00:55:25.119 --> 00:55:27.840
I threw the rock in the pond to see what would come back.
00:55:27.920 --> 00:55:30.079
And now that's enlisting the aid of others too.
00:55:30.239 --> 00:55:31.840
Brian, did I really want to break down?
00:55:31.920 --> 00:55:34.400
Did I want him to call cops or search for this guy?
00:55:34.559 --> 00:55:40.960
I just wanted to bring his awareness level up to a general awareness level so things would stick out from that point forward.
00:55:41.119 --> 00:55:43.599
We do that all the time when you and I are driving together.
00:55:43.760 --> 00:55:46.400
It's an easy lift and anybody can do it.
00:55:46.960 --> 00:55:50.159
And and that that interactive piece with another person is a good comparison.
00:55:50.480 --> 00:55:59.599
I love good, I tell you about my grocery store adventures because I have certain things that I like to do, and I always like I one, it's my way of understanding the world because I just don't get it.
00:55:59.760 --> 00:56:02.159
So I have to go into a grocery store and I look for everything in it.
00:56:02.239 --> 00:56:04.400
I'm like, because I categorize things much differently in my brain.
00:56:04.480 --> 00:56:06.880
I'm like, oh, if I'm looking for this, that should probably be over here.
00:56:06.960 --> 00:56:08.639
And it's like, oh no, that's over in this section.
00:56:08.719 --> 00:56:09.440
I'm like, what the hell?
00:56:09.519 --> 00:56:16.079
So I always have to ask, and then I learn, I'm like, oh, okay, I I get this new Dewey decimal system that you guys are using here.
00:56:16.159 --> 00:56:19.360
It's different than Brian's, but but okay, I can navigate the world.
00:56:19.519 --> 00:56:24.960
But hilarious because you know, now that I'm in I'm in Minnesota, I wouldn't write right across the border from Wisconsin there.
00:56:25.119 --> 00:56:32.880
So now I was looking at I was making something, I needed to get some cheese, and they got this whole huge display in the middle of all these different cheese from all the different like local stuff and this.
00:56:33.039 --> 00:56:35.199
And I'm looking through there and I'm like, wow, this stuff looks good.
00:56:35.280 --> 00:56:39.280
This and the one comes up to me, he's like, You look a little like kind of you look a little lost.
00:56:39.360 --> 00:56:40.800
Are you do you can I help you with anything?
00:56:40.880 --> 00:56:54.960
And I was like, No, I just had like this existential crisis moment right now, realizing I'm getting much older now because I'm really this interested in fucking cheese and not just like yeah, this is now a cool thing to me because I'm I'm like an old man now, you know what I mean?
00:56:55.039 --> 00:56:58.480
It's like, oh god, like but it was so you're looking at the cheese.
00:56:58.880 --> 00:57:07.679
Yeah, so she's sitting there thinking, like, oh, you're looking for some specific cheese, and I'm like, no, I'm just just just you know, death is knocking at the door and it's getting closer.
00:57:07.760 --> 00:57:11.760
And now I know like I'm looking at like, man, I remember my parents doing this, is so embarrassing.
00:57:11.840 --> 00:57:12.480
I'm such an old man.
00:57:12.719 --> 00:57:20.800
That's funny, but that's fine, but uh, but no, that enlisting the eight of the others, and then so so those little things that you can do are are fun, they make it exciting.
00:57:20.880 --> 00:57:25.119
I that's what I've been always done with like with the insurgent and now with the terrorists, you know.
00:57:25.199 --> 00:57:26.239
It's like, where are we going?
00:57:26.320 --> 00:57:26.639
Okay, here.
00:57:26.719 --> 00:57:28.400
Oh, what do you oh, who's typically there?
00:57:28.639 --> 00:57:29.519
Oh, do we have this?
00:57:29.599 --> 00:57:34.000
Or there's a lot of teams at this volleyball tournament you're going to, or is it that like, well, what else is there?
00:57:34.079 --> 00:57:37.599
Well, usually it's this, or or when I see her look in the face, like, hmm, that's weird.
00:57:37.679 --> 00:57:38.639
I go, well, what's wrong?
00:57:38.719 --> 00:57:39.760
Well, normally they do this.
00:57:39.840 --> 00:57:43.039
So you you can do that because what your brain is already doing it.
00:57:43.119 --> 00:57:46.800
So the more consciously aware you are of it, the better you get at doing it.
00:57:46.880 --> 00:57:48.719
So I prime her with doing that all the time.
00:57:48.800 --> 00:57:51.519
So now she obviously her head tilt that little bit.
00:57:51.679 --> 00:57:54.559
I know she's picking up on something that's different, that's odd.
00:57:54.639 --> 00:58:02.719
So I don't even have to like I'm walking into her you know volleyball game for the first time, and I'm going, okay, just taking all in, and she's got the head tilt.
00:58:02.800 --> 00:58:06.880
I know, oh, wait a minute, something's different here today because she's picking up on it.
00:58:07.280 --> 00:58:08.880
So so let me throw one at you.
00:58:09.039 --> 00:58:10.960
So Brian and I are at Liberty.
00:58:11.039 --> 00:58:13.119
Liberty's coming up in February, folks.
00:58:13.280 --> 00:58:15.280
Make sure that you write it on your calendar.
00:58:15.440 --> 00:58:16.719
So we're at Liberty University.
00:58:16.880 --> 00:58:19.760
We always have a resoundingly positive experience there.
00:58:19.920 --> 00:58:21.440
Yeah, it's absolutely wonderful.
00:58:21.599 --> 00:58:25.360
So Brian and I are unloading out in the parking lot, and it's a storm of the century.
00:58:25.440 --> 00:58:26.880
It's a Virginia storm, man.
00:58:27.039 --> 00:58:29.360
Clouds are dark, lightning crash, and rain pouring.
00:58:29.519 --> 00:58:33.679
It's just barely light in the morning, and it's still just pushing off our day.
00:58:33.760 --> 00:58:35.599
Everything is different about our day, right?
00:58:35.840 --> 00:58:43.360
And so then we have to go to the door, and the door's an electronic door, and for whatever reason this morning it's malfunctioning, so a person has to come from the counter, let us in.
00:58:43.519 --> 00:58:51.039
Then Brian and I get into the room, and we notice that inside the room, there's a bunch of people that are already sitting down, they're dripping wet, setting up their stuff.
00:58:51.199 --> 00:59:05.760
But there's one table of geriatric folks, and they're sitting around with their coolers and their gosh damn, you know, coffee mugs and everything, and they're talking and having a good time, and they just don't fit the demographic of anybody that's ever been in any of our classes ever.
00:59:06.000 --> 00:59:10.320
So immediately I walk over and look, we have folks from Liberty represented.
00:59:10.400 --> 00:59:14.159
We have professors and teachers that are already there, and nobody's approached these folks.
00:59:14.239 --> 00:59:16.639
And I go, Hey, what what class are you guys here for?
00:59:16.800 --> 00:59:19.440
And they go, Oh, we're here for the baking with uh Larry.
00:59:19.519 --> 00:59:19.679
Yeah.
00:59:19.840 --> 00:59:20.800
And it was across the hall.
00:59:20.880 --> 00:59:21.519
Do you remember that?
00:59:21.679 --> 00:59:21.840
Yeah.
00:59:22.000 --> 00:59:26.239
And we all laughed and they had to get up their knitting and take their dog and go across the hall.
00:59:26.400 --> 00:59:33.519
And I went to the other people that were there that 30 minutes probably before we were, and I go, How come you guys didn't help those folks?
00:59:33.679 --> 00:59:35.840
And they said, Well, we thought they were here for the class.
00:59:36.079 --> 00:59:38.079
The reason it stuck out, Brian, yeah.
00:59:38.400 --> 00:59:48.079
You and I had a robust, fidelity filled baseline for what it's like being us, what it's like, and even though we're in a different part of the world having a class in a different room, guess what?
00:59:48.239 --> 00:59:52.719
We knew what was clinically normal for that setting, and these things stuck out.
00:59:52.880 --> 00:59:54.239
So that's all we're saying.
00:59:54.320 --> 00:59:59.599
And we're saying it can make you it allows you to reach conclusions that are better conclusions.
01:00:00.239 --> 01:00:00.719
More quickly.
01:00:00.800 --> 01:00:02.159
And that's the bank faster.
01:00:02.400 --> 01:00:03.119
That's left of boom.
01:00:03.280 --> 01:00:04.559
That's left of opportunity.
01:00:04.719 --> 01:00:06.079
And that's where you want to be.
01:00:06.159 --> 01:00:07.360
You don't want to be ambushed.
01:00:07.519 --> 01:00:08.719
You don't want to be surprised.
01:00:08.800 --> 01:00:13.119
So no, and and I appreciate the uh stories like that because guess what?
01:00:13.360 --> 01:00:15.599
Was I absolutely a hundred percent sure?
01:00:15.760 --> 01:00:16.079
No.
01:00:16.239 --> 01:00:19.199
Was I sure enough to go over and talk to him and save us both some time?
01:00:19.679 --> 01:00:20.079
Yep.
01:00:21.519 --> 01:00:22.079
And that's all it is.
01:00:26.800 --> 01:00:28.639
So it's it's again, it's a time and distance.
01:00:28.719 --> 01:00:35.119
So now I can make decisions that are more informed and I can make them faster and I can mitigate some potential thing in the future.
01:00:35.280 --> 01:00:38.639
So that's a good assignment for kind of yeah, yeah.
01:00:40.239 --> 01:00:42.639
Yeah, those old people get angry, you know.
01:00:42.719 --> 01:00:44.079
Yeah, where's our croissant?
01:00:44.320 --> 01:00:45.280
You bastards.
01:00:45.440 --> 01:00:47.840
So or with you, where's our cheese?
01:00:48.159 --> 01:00:49.119
Yeah, yeah.
01:00:50.000 --> 01:00:51.920
It was it was a it was a bad day.
01:00:53.440 --> 01:00:56.320
So yeah, we gave some some assignments, some little things that you do.
01:00:56.480 --> 01:01:04.159
Uh, I would also you check out on Patreon, we'll we'll do some more on there, like kind of what we call like baseline development exercises, things that we do, how to make sense of it.
01:01:04.239 --> 01:01:06.559
And we'll give some examples of that and things that you can do.
01:01:06.719 --> 01:01:18.880
And then also if you're you're interested in learning more, there's also I would go back and listen to like our first we did podcasts on the first principles, sense make versus sense make, kind of how this this stuff works and some more examples.
01:01:19.039 --> 01:01:25.440
But I I also just encourage people like literally do baseline plus anomaly equals decision and and figure it out from there.
01:01:25.599 --> 01:01:30.239
Just take that and go start with a baseline and get really, really, really, really, really good at it.
01:01:30.320 --> 01:01:38.320
And then those anomalies, they're just gonna kind of start to pop up and you're gonna you're gonna recognize them as anomalous before it it before it becomes obvious, right?
01:01:38.400 --> 01:01:39.119
And that's the time to do it.
01:01:39.360 --> 01:01:47.519
If you get a chance, go to Patreon because Brian and I are gonna give some hints and and hacks and ideas of different ways of making it fun and interesting.
01:01:47.599 --> 01:01:52.239
So when you graduate from one and think you've gone as far as you can go, no, there's always more.
01:01:53.199 --> 01:01:54.639
Things never considered.
01:01:55.039 --> 01:01:57.360
It's it's it's it's fractal, I guess.
01:01:57.519 --> 01:02:03.360
There's there's you're you can get keep going deeper and deeper and deeper and deeper, and and it really helps a lot of situations.
01:02:03.519 --> 01:02:04.800
So any any other last words?
01:02:04.880 --> 01:02:07.280
Uh yeah, just a couple of saved rounds real quick.
01:02:07.440 --> 01:02:10.800
Look, every Monday I drop uh it happened on a Monday on LinkedIn.
01:02:11.039 --> 01:02:16.719
If you guys like that or you want to look for it, or look for it, or look at the past episodes, do me a favor, share that with people.
01:02:16.880 --> 01:02:20.000
You can repost it without saying anything, or give it a thumbs up.
01:02:20.159 --> 01:02:21.280
Those kind of things help us.
01:02:21.440 --> 01:02:27.360
Brian posts stuff too, and it's very uh great stuff about upcoming courses, about different connections that we have.
01:02:27.599 --> 01:02:30.400
Do those things because look, you're part of a community.
01:02:30.639 --> 01:02:38.639
You are uh Cognarati, and we love that interaction because that interaction will help you grow professionally and personally.
01:02:39.119 --> 01:02:51.679
If, especially if you're still listening at this point, an hour in, you know, definitely connect with us on social media, follow us on Instagram and Facebook and everything, and connect with us on LinkedIn, you know, because you're if you're listening now, you either enjoyed it or you or you hate us.
01:02:51.760 --> 01:02:52.960
But either way, connect with us.
01:02:53.199 --> 01:02:54.079
We'll see you on Grindr.
01:02:54.719 --> 01:02:57.599
It helps it helps the algorithm, even if you hate us.
01:02:57.920 --> 01:03:02.079
Yeah, but you know, what I'm saying is look, a lot of people come to us and go, what book do you want to read?
01:03:02.239 --> 01:03:05.920
Brian, what how how much did we unpack in the last 59 minutes?
01:03:06.079 --> 01:03:06.480
Yeah, I hope.
01:03:08.559 --> 01:03:09.440
And it's free, folks.
01:03:09.599 --> 01:03:10.400
Get into it.
01:03:10.639 --> 01:03:13.920
Yeah, and please uh if you can share this with a friend if you enjoyed it.
01:03:14.000 --> 01:03:15.840
Give us a like, give us a thumbs up, all that stuff.
01:03:15.920 --> 01:03:17.679
It really does help get the message out there.
01:03:17.760 --> 01:03:18.880
So we really appreciate it.
01:03:18.960 --> 01:03:23.599
We appreciate everyone for listening, and we're gonna celebrate our 250,000 downloads.
01:03:23.760 --> 01:03:25.119
That's I just just noticed that today.
01:03:25.199 --> 01:03:27.280
I think it happened actually a couple weeks ago for some reason.
01:03:27.360 --> 01:03:28.960
I didn't get some alert, but whatever.
01:03:29.199 --> 01:03:29.519
All good.
01:03:29.599 --> 01:03:30.320
We're here celebrating.
01:03:31.840 --> 01:03:32.239
I don't know.
01:03:34.079 --> 01:03:36.079
Brian's a CEO now, things have changed.
01:03:38.880 --> 01:03:43.280
Not a lot of money coming in, but yeah, we're we're switching that for a while.
01:03:43.519 --> 01:03:44.559
So all right.
01:03:44.639 --> 01:03:46.639
Well, we think we appreciate everyone for tuning in.
01:03:46.800 --> 01:03:51.119
You know, we uh thanks a lot, and don't forget that training changes behavior.