1 00:00:00,050 --> 00:00:03,200 You know, the polyvagal theory and how it generally relates 2 00:00:03,200 --> 00:00:04,790 to mental health and trauma. 3 00:00:05,240 --> 00:00:09,860 But have you ever considered what the theory implicates for behavior and choice? 4 00:00:10,360 --> 00:00:14,530 If our thoughts and our behaviors are dependent on our states, then what does 5 00:00:14,530 --> 00:00:16,509 this mean in our ability to choose? 6 00:00:17,200 --> 00:00:20,110 What does this mean in our ability to make change? 7 00:00:20,560 --> 00:00:22,360 Or help someone else make a change. 8 00:00:22,860 --> 00:00:24,119 My name's Justin sincerely. 9 00:00:24,180 --> 00:00:29,189 I'm a therapist, a coach, and the creator of the polyvagal trauma relief system. 10 00:00:29,660 --> 00:00:34,429 Welcome to Stuck Not Broken where I teach you how to live with more calm, confidence 11 00:00:34,459 --> 00:00:36,560 and connection without the psychobabble. 12 00:00:37,060 --> 00:00:40,480 We're going to nerd out polyvagal style one more time. 13 00:00:40,900 --> 00:00:42,730 I think maybe more, but at least one more time. 14 00:00:43,230 --> 00:00:45,570 This might be the deepest nerdery yet. 15 00:00:45,570 --> 00:00:47,100 And I'm glad that you're here for it. 16 00:00:47,600 --> 00:00:50,150 If you don't know the political theory, this is definitely 17 00:00:50,150 --> 00:00:51,320 not the episode for you. 18 00:00:51,320 --> 00:00:53,750 Head on over to episode 1 0 1. 19 00:00:54,260 --> 00:00:56,630 Of this podcast and start from there. 20 00:00:57,130 --> 00:00:57,430 Dr. 21 00:00:57,430 --> 00:01:04,570 Steven Portis wrote a paper called the bagel paradox that released in 2023. 22 00:01:05,200 --> 00:01:10,990 And within this paper, he describes the polyvagal theory as an algorithm. 23 00:01:11,490 --> 00:01:12,720 What is an algorithm? 24 00:01:13,230 --> 00:01:17,640 From our friends at Miriam Webster, they define it as a step 25 00:01:17,670 --> 00:01:22,500 by step procedure for solving a problem or accomplishing some end. 26 00:01:23,000 --> 00:01:24,770 That's more of a broader definition though. 27 00:01:24,820 --> 00:01:29,400 Also from our friends at- our good friends at Marion Webster- is a procedure 28 00:01:29,400 --> 00:01:34,040 for solving a mathematical problem in a finite number of steps that frequently 29 00:01:34,040 --> 00:01:36,680 involves repetition of an operation. 30 00:01:37,180 --> 00:01:40,180 Both definitions of an algorithm involve a problem. 31 00:01:40,870 --> 00:01:46,660 There's also reference to a procedure in both definitions being a way to solve 32 00:01:46,720 --> 00:01:49,150 a problem that reoccurs or can reoccur. 33 00:01:49,960 --> 00:01:52,870 And there's an end result in both of those definitions. 34 00:01:53,370 --> 00:01:56,460 This leaves us with a general three-step sort of model for 35 00:01:56,460 --> 00:01:58,050 algorithms and what they do. 36 00:01:58,710 --> 00:02:01,680 And that three-step model is there's a problem. 37 00:02:02,230 --> 00:02:05,260 Procedure and a result, or there is an input. 38 00:02:05,860 --> 00:02:07,600 The algorithm and an output. 39 00:02:08,140 --> 00:02:09,700 Or there's the context. 40 00:02:10,120 --> 00:02:11,680 A process and an output. 41 00:02:11,800 --> 00:02:13,900 We're all kind of saying the same thing, but just different ways. 42 00:02:14,440 --> 00:02:15,130 To word it. 43 00:02:15,640 --> 00:02:19,150 So there is there's some sort of contextual input or a problem. 44 00:02:19,780 --> 00:02:22,630 Then there's a process or problem solving. 45 00:02:23,170 --> 00:02:25,000 And then there's a result. 46 00:02:25,500 --> 00:02:28,980 The word algorithms typically use when we're discussing computer 47 00:02:28,980 --> 00:02:31,470 programming, data and math. 48 00:02:31,860 --> 00:02:36,180 You've probably heard it in reference to social media algorithms. 49 00:02:36,840 --> 00:02:41,850 Where a platform like YouTube adjust their recommendations based on what 50 00:02:41,850 --> 00:02:43,980 they want to see in the results. 51 00:02:44,480 --> 00:02:47,120 So YouTube has a desired outcome. 52 00:02:47,420 --> 00:02:51,950 They changed the equation of their search engine to get the outcome. 53 00:02:52,450 --> 00:02:56,080 But an algorithm could also be making a peanut butter and jelly sandwich. 54 00:02:56,109 --> 00:02:57,580 The input is the ingredients. 55 00:02:57,970 --> 00:03:03,430 The procedure is the steps required or are the steps required for making the 56 00:03:03,430 --> 00:03:05,350 sandwich, like, you know, piece of bread. 57 00:03:06,220 --> 00:03:07,900 Peanut butter jelly, and another piece of bread. 58 00:03:07,930 --> 00:03:10,100 He use a a knife to put it on. 59 00:03:10,580 --> 00:03:11,540 The bread and put it together. 60 00:03:11,570 --> 00:03:12,980 Like there's a procedure. 61 00:03:13,480 --> 00:03:18,340 And the output is the sandwich, which by the way, any sandwich or anything 62 00:03:18,340 --> 00:03:21,370 really in life should never involve peanut butter because it's disgusting. 63 00:03:21,400 --> 00:03:22,090 It tastes gross. 64 00:03:22,510 --> 00:03:25,900 It smells gross and texturally is, ugh, it's awful as well. 65 00:03:26,590 --> 00:03:27,490 No, I don't take many. 66 00:03:28,420 --> 00:03:30,730 Hard for him lines on things here in the podcast. 67 00:03:30,760 --> 00:03:33,790 It's not many hot takes from me, but that one I'm pretty darn serious about. 68 00:03:34,290 --> 00:03:34,890 But Dr. 69 00:03:34,890 --> 00:03:38,730 Porges is not applying the idea of an algorithm to. 70 00:03:39,330 --> 00:03:43,740 Math or to social media or to making a sandwich. 71 00:03:44,660 --> 00:03:46,850 He's discussing it more in terms of behavior. 72 00:03:47,300 --> 00:03:51,830 And in the paper, he illustrates that the traditional behavioral model is 73 00:03:52,010 --> 00:03:55,010 cause and effect or trigger and response. 74 00:03:55,510 --> 00:04:01,930 One example is a traffic light changing from green to yellow or to red, and 75 00:04:01,930 --> 00:04:04,420 that results in some sort of response. 76 00:04:04,420 --> 00:04:09,010 So when it goes to yellow, the driver slows down the vehicle at red. 77 00:04:09,490 --> 00:04:12,310 The vehicle, the driver stops the vehicle entirely. 78 00:04:12,810 --> 00:04:14,400 And with green, the driver would go. 79 00:04:14,850 --> 00:04:17,040 There's a stimulus and a response. 80 00:04:17,540 --> 00:04:19,850 Another example is a dog hearing a can opener. 81 00:04:20,300 --> 00:04:21,830 And expecting food. 82 00:04:22,460 --> 00:04:25,370 The stimulus or trigger would be the sound of a can opener. 83 00:04:26,050 --> 00:04:30,400 The behavioral response would be that the dog runs to the kitchen and expects food. 84 00:04:30,900 --> 00:04:35,340 One more example would be employee performance and a monthly bonus. 85 00:04:35,760 --> 00:04:37,170 The stimulus or a trigger. 86 00:04:37,710 --> 00:04:41,010 Would be the introduction of a performance-based monthly 87 00:04:41,010 --> 00:04:42,510 bonus, like an incentive. 88 00:04:43,230 --> 00:04:46,650 The behavioral response would be that the employee or employees 89 00:04:46,650 --> 00:04:47,970 increase their work output. 90 00:04:48,390 --> 00:04:52,080 Or improve the quality of their work to meet the criteria for the bonus. 91 00:04:52,770 --> 00:04:54,240 Stimulus response. 92 00:04:54,740 --> 00:05:01,010 That's the traditional way of looking at behavior, but in this paper, When looking 93 00:05:01,040 --> 00:05:03,200 at the polyvagal theory as an algorithm. 94 00:05:03,920 --> 00:05:04,250 Dr. 95 00:05:04,250 --> 00:05:07,430 Porges suggests that the there's a middle piece that's missing 96 00:05:07,430 --> 00:05:11,590 here, which is the step-by-step process for getting the output. 97 00:05:12,090 --> 00:05:15,900 Porges suggests that the political theory acts as an algorithm. 98 00:05:16,440 --> 00:05:18,090 Between the stimuli. 99 00:05:18,510 --> 00:05:20,070 And the behavioral response. 100 00:05:20,570 --> 00:05:25,040 So the driver does not simply break when the traffic light turns red. 101 00:05:25,880 --> 00:05:30,200 The political theory provides the algorithm in between the traffic 102 00:05:30,200 --> 00:05:32,630 light and the driver breaking. 103 00:05:33,130 --> 00:05:35,230 So that would be the traffic light changes to red. 104 00:05:36,010 --> 00:05:39,220 And then the political theory acts as an algorithm and I'll get more detailed. 105 00:05:39,640 --> 00:05:43,690 And that results in the behavior of braking or some other behavior. 106 00:05:44,190 --> 00:05:47,520 So between the red light and the behavior, there is an autonomic 107 00:05:47,520 --> 00:05:53,610 process that calculates the context and spits out the behavior of the driver. 108 00:05:54,110 --> 00:05:59,330 Algorithms have to have a goal to them, a reason or an objective that 109 00:05:59,360 --> 00:06:02,390 frames, the processing of the inputs. 110 00:06:03,230 --> 00:06:05,690 Like I said before social media companies, they may want to 111 00:06:05,690 --> 00:06:10,400 increase clicks on certain types of content and reduce others. 112 00:06:10,400 --> 00:06:13,940 So they changed their algorithm to meet that goal. 113 00:06:14,840 --> 00:06:19,160 For example, if YouTube wanted to enhance polyvagal theory information 114 00:06:19,700 --> 00:06:24,230 they could do so by changing the parameters of their algorithm. 115 00:06:24,730 --> 00:06:27,370 My content then would be input. 116 00:06:28,150 --> 00:06:31,840 Then it would go through the YouTube algorithm or formula. 117 00:06:32,340 --> 00:06:34,560 And result in maybe getting more clicks. 118 00:06:35,060 --> 00:06:37,580 But the algorithm isn't just acting by itself. 119 00:06:37,610 --> 00:06:39,890 There is a, a goal that it is. 120 00:06:40,220 --> 00:06:42,470 Spitting out or leaning toward. 121 00:06:42,970 --> 00:06:47,170 If we returned to the algorithm of making the sandwich, the goal is to make a 122 00:06:47,170 --> 00:06:49,300 sandwich, the steps or the algorithm. 123 00:06:49,630 --> 00:06:52,420 Meet that goal or result in a sandwich. 124 00:06:52,920 --> 00:06:57,030 So the end result of an algorithm may not be specifically known, 125 00:06:57,060 --> 00:06:58,920 but it may generally be known. 126 00:06:59,460 --> 00:07:03,360 Like we don't know the way that the sandwich will look or the way it's 127 00:07:03,360 --> 00:07:07,350 going to taste, but we can still use the algorithm of making a sandwich. 128 00:07:07,950 --> 00:07:10,410 To get the general and result of a sandwich. 129 00:07:10,709 --> 00:07:16,499 So if the political theory was an algorithm, What would the goal be? 130 00:07:16,999 --> 00:07:20,509 Well, the political theory is really a compilation of many ideas. 131 00:07:20,989 --> 00:07:24,229 Neuroception autonomic primary and mixed states. 132 00:07:24,649 --> 00:07:25,580 Co-regulation. 133 00:07:26,269 --> 00:07:30,289 How our senses are used in neuroception all kinds of 134 00:07:30,289 --> 00:07:31,879 things that go into the theory. 135 00:07:32,389 --> 00:07:34,700 But what do all these pieces when put together? 136 00:07:35,149 --> 00:07:36,259 What do they strive for? 137 00:07:36,259 --> 00:07:38,809 What's the goal of these pieces? 138 00:07:39,499 --> 00:07:41,299 Within us as organisms. 139 00:07:41,799 --> 00:07:46,450 And that would be survival and homeostasis or optimal functioning. 140 00:07:46,950 --> 00:07:47,700 That's the goal. 141 00:07:47,760 --> 00:07:51,960 That's the goal of the political theory in working as an algorithm is 142 00:07:51,960 --> 00:07:53,730 to increase the chances of survival. 143 00:07:54,450 --> 00:08:00,780 And if surviving then to increase the use of bodily resources for homeostasis. 144 00:08:01,320 --> 00:08:02,580 Or optimal functioning. 145 00:08:02,879 --> 00:08:05,999 Survival and optimal functioning are always the goal. 146 00:08:06,689 --> 00:08:07,769 At all times. 147 00:08:08,429 --> 00:08:12,719 Even when we're making a sandwich or when a traffic light turns red. 148 00:08:13,549 --> 00:08:17,389 So the algorithm of the polyvagal theory, even when there was a 149 00:08:17,389 --> 00:08:18,619 traffic light that turns red. 150 00:08:19,279 --> 00:08:23,499 Or even when we have to make a sandwich, the algorithm of survival and 151 00:08:23,499 --> 00:08:25,629 optimal functioning is still active. 152 00:08:26,130 --> 00:08:32,640 So the pieces of the polyvagal theory act as the algorithm leading to a behavior. 153 00:08:33,140 --> 00:08:37,549 The states that are your political state safety, flight fight, shutdown 154 00:08:37,549 --> 00:08:38,659 or the mixed states as well. 155 00:08:39,589 --> 00:08:42,199 The state is an intervening variable. 156 00:08:42,699 --> 00:08:47,800 So when the traffic light turns red, and the driver has a response, the 157 00:08:47,800 --> 00:08:50,680 state of the driver is the algorithm. 158 00:08:51,459 --> 00:08:55,479 The state of the driver is a variable that shouldn't be ignored. 159 00:08:55,979 --> 00:08:59,519 But, you know, like I know that the state of the body changes. 160 00:09:00,149 --> 00:09:02,909 And can actually get, even get stuck like a defensive state. 161 00:09:02,909 --> 00:09:04,800 We can get stuck there in a traumatized state. 162 00:09:05,579 --> 00:09:10,429 So the inputs, the context of the situation that doesn't change, 163 00:09:10,459 --> 00:09:12,799 but the algorithm kind of does. 164 00:09:13,299 --> 00:09:16,329 At least the way I'm understanding it and that can lead to different 165 00:09:16,329 --> 00:09:18,519 behaviors, even with the same context. 166 00:09:19,019 --> 00:09:21,449 For example, the red light is still the red light. 167 00:09:21,929 --> 00:09:23,129 But the states. 168 00:09:23,789 --> 00:09:28,799 Can be with more or less safety leading to different results, like coming 169 00:09:28,799 --> 00:09:30,809 to a stop and following the rule. 170 00:09:31,679 --> 00:09:33,749 Or speeding up at ignoring it. 171 00:09:34,249 --> 00:09:36,829 If you're in a safety state, you're probably more likely to follow 172 00:09:36,829 --> 00:09:40,159 the rules and come to a gentle, complete stop at a red light. 173 00:09:40,999 --> 00:09:44,299 If you're in a dysregulated flight fight state, you might be less 174 00:09:44,299 --> 00:09:47,179 likely to, and you might be more likely to actually speed up. 175 00:09:47,659 --> 00:09:52,339 And ignore the red light or at least ignore the the yellow light. 176 00:09:52,839 --> 00:09:56,709 But here in my lovely city of Stockton, California, there is a serious 177 00:09:56,709 --> 00:09:58,150 problem of people running red lights. 178 00:09:58,150 --> 00:09:59,709 If you live here, please knock it off. 179 00:09:59,920 --> 00:10:00,760 It's it's really bad. 180 00:10:01,260 --> 00:10:02,220 Another hot take for you. 181 00:10:02,520 --> 00:10:04,290 That's the general idea of the algorithm. 182 00:10:04,290 --> 00:10:08,430 It's an intervening variable, the political theory and what state someone 183 00:10:08,459 --> 00:10:11,689 is in is an intervening variable. 184 00:10:11,780 --> 00:10:15,410 It's not something that we could ignore and just look at stimulus and response. 185 00:10:15,439 --> 00:10:18,560 There's something happening that's processing the stimulus 186 00:10:18,650 --> 00:10:19,849 and outputting the response. 187 00:10:20,349 --> 00:10:23,319 So let's think about this algorithm and other contexts. 188 00:10:23,920 --> 00:10:25,270 Like students in your classroom. 189 00:10:25,270 --> 00:10:29,740 If you're a teacher, Or your communication with your loved ones, or if you're 190 00:10:29,740 --> 00:10:31,300 a therapist and you have clients. 191 00:10:32,490 --> 00:10:37,500 What's the potential of their behavior based on their algorithms. 192 00:10:38,000 --> 00:10:41,660 Like I said before the context may not change. 193 00:10:42,160 --> 00:10:43,690 The red light is still the red light. 194 00:10:43,990 --> 00:10:45,160 So I'm going to ask you. 195 00:10:45,790 --> 00:10:48,640 Is there something about the inputs that we can change? 196 00:10:48,920 --> 00:10:52,460 Can we do things to change the context to shift someone's 197 00:10:52,460 --> 00:10:54,349 state to get a different result? 198 00:10:54,950 --> 00:10:58,940 Because if we shift the state, the result is going to be different as well. 199 00:10:58,940 --> 00:11:01,520 Or if we help to shift the state. 200 00:11:02,020 --> 00:11:05,980 And this is exactly why in my polyvagal trauma relief system. 201 00:11:06,700 --> 00:11:11,619 I highly emphasize the environment and manipulating one's environment. 202 00:11:12,119 --> 00:11:13,859 This is the starting point, I think. 203 00:11:14,099 --> 00:11:18,629 If you don't have a safe environment, If you don't have safe context or in 204 00:11:18,629 --> 00:11:25,969 our algorithmic a world right now, if we don't have safe inputs, save 205 00:11:25,969 --> 00:11:31,099 context, then the results or the behaviors, the thoughts, the emotions. 206 00:11:31,550 --> 00:11:36,339 All of those are going to be with less safety because the inputs have 207 00:11:36,339 --> 00:11:38,229 less safety or partially that's why. 208 00:11:38,730 --> 00:11:42,179 So in these different contexts of our lives, or even for yourself in your 209 00:11:42,179 --> 00:11:46,079 own self-regulation whether you're in the political trauma release system 210 00:11:46,079 --> 00:11:52,349 or not, can you set passive safety cues, things that just provide you 211 00:11:52,349 --> 00:11:56,369 with safe context without having to actively do anything about it. 212 00:11:56,869 --> 00:12:02,419 Can you set yourself up with this constant stream of passive safety neuroception? 213 00:12:03,050 --> 00:12:06,109 And then can you build on that through more active means? 214 00:12:06,609 --> 00:12:10,630 So for yourself or in your professional capacity, or maybe, you know, as a 215 00:12:10,630 --> 00:12:14,680 teacher or in your home environment, your family, can you create 216 00:12:14,770 --> 00:12:16,780 more safety in your environment? 217 00:12:17,589 --> 00:12:22,000 Can you create more safety in the structure, the rules and the norms. 218 00:12:22,839 --> 00:12:26,140 Can you create more safety in the predictability of the environment? 219 00:12:26,640 --> 00:12:31,050 All of these things are going to act as inputs that will help shift 220 00:12:31,050 --> 00:12:32,520 someone's state to more safety. 221 00:12:33,020 --> 00:12:36,319 And potentially lead to more safety as an output. 222 00:12:36,819 --> 00:12:39,279 And by the way, You're an input. 223 00:12:39,310 --> 00:12:42,129 You are part of the context of other people. 224 00:12:42,519 --> 00:12:48,459 So, what are you giving off as far as being an input into their algorithm? 225 00:12:48,959 --> 00:12:54,869 Are you giving safety that will be processed by their algorithm and then 226 00:12:54,959 --> 00:12:58,739 have a different outcome or a more positive outcome for everybody involved? 227 00:12:59,239 --> 00:13:01,550 We of course don't control other people's behaviors, but 228 00:13:01,550 --> 00:13:03,739 we absolutely influence them. 229 00:13:03,800 --> 00:13:07,909 And I think one of the ways that we influenced them as by changing 230 00:13:08,479 --> 00:13:11,179 what cues that we're giving them. 231 00:13:11,839 --> 00:13:14,300 Which is then processed by their algorithm. 232 00:13:14,800 --> 00:13:20,919 Basically then, do the best you can to be a safe input for their algorithm. 233 00:13:21,419 --> 00:13:25,139 I also kind of wonder with this, is there a predictive nature? 234 00:13:25,709 --> 00:13:30,839 Or predictive potential to the political theory as an algorithm. 235 00:13:31,139 --> 00:13:36,029 Just on a conceptual level, we can make inferences about someone's behavior based 236 00:13:36,029 --> 00:13:38,699 on what we know about their algorithm. 237 00:13:39,149 --> 00:13:42,809 Or what we know about their current states and they're stuck date as well. 238 00:13:43,529 --> 00:13:48,719 So I know that overstimulating someone in shutdown is probably not going to help 239 00:13:48,749 --> 00:13:51,479 and might even lead to further shutdown. 240 00:13:51,979 --> 00:13:57,019 I would need to calm myself down and align with them in an environment 241 00:13:57,019 --> 00:13:59,089 that's conducive to shut down. 242 00:13:59,589 --> 00:14:02,949 So I know enough about that person's algorithm to make some changes. 243 00:14:03,449 --> 00:14:07,619 Because I can likely predict that some pieces or some inputs of the 244 00:14:07,619 --> 00:14:11,669 environment are going to have a less beneficial result for, for them. 245 00:14:12,449 --> 00:14:14,879 In my professional capacity, you know, working as a therapist. 246 00:14:15,379 --> 00:14:20,749 I know that someone who's stuck in freeze likely will not do well with telling 247 00:14:20,749 --> 00:14:22,999 their trauma narrative again and again. 248 00:14:23,499 --> 00:14:28,149 I know that for that person, it likely may result in more significant 249 00:14:28,299 --> 00:14:30,819 shutdown and numbing and association. 250 00:14:31,319 --> 00:14:36,089 In other words, I know enough about their algorithm to change 251 00:14:36,089 --> 00:14:37,229 the inputs that I'm giving them. 252 00:14:38,069 --> 00:14:41,189 So I know that part of shifting their state. 253 00:14:41,999 --> 00:14:44,159 And helping them meet their therapeutic goals is good. 254 00:14:44,159 --> 00:14:47,129 Involve building the strength of their safety state. 255 00:14:47,629 --> 00:14:50,959 And then we might be able to go into their trauma narrative if they want to. 256 00:14:51,459 --> 00:14:53,139 So what if we knew there. 257 00:14:53,589 --> 00:14:55,029 State or their algorithm. 258 00:14:55,389 --> 00:14:59,949 What if we also knew their vehicle efficiency, what if we had access to. 259 00:15:00,519 --> 00:15:02,049 Vega efficiency measurements. 260 00:15:02,109 --> 00:15:04,689 And we had access to self reports. 261 00:15:05,219 --> 00:15:06,419 Internal sensations. 262 00:15:07,259 --> 00:15:09,929 And we had behavior reports from their daily life. 263 00:15:09,959 --> 00:15:11,249 Maybe they're keeping a log. 264 00:15:11,909 --> 00:15:16,499 What if we had observational data and self-report autonomic data. 265 00:15:16,999 --> 00:15:18,049 Yeah, tons of data. 266 00:15:18,049 --> 00:15:19,999 And I don't think anyone's asked you for that. 267 00:15:20,509 --> 00:15:23,659 But all of this actually really might help too. 268 00:15:24,109 --> 00:15:25,099 Build or paint. 269 00:15:25,729 --> 00:15:28,729 A clearer picture of that person's algorithm. 270 00:15:29,569 --> 00:15:33,139 And might actually help to inform more beneficial treatments. 271 00:15:33,889 --> 00:15:34,879 Is it necessary? 272 00:15:35,449 --> 00:15:36,139 No, I don't think so. 273 00:15:36,139 --> 00:15:37,729 And again, I don't think I want to ask you for that. 274 00:15:38,029 --> 00:15:38,929 I think it's kind of cool though. 275 00:15:39,429 --> 00:15:40,869 But that level of. 276 00:15:41,799 --> 00:15:45,129 Objectifying one's trauma recovery journey. 277 00:15:45,629 --> 00:15:46,319 Nah, I dunno. 278 00:15:46,319 --> 00:15:48,539 It, it kinda, it does something to it that. 279 00:15:49,409 --> 00:15:50,189 Takes away. 280 00:15:51,089 --> 00:15:54,959 Some of the luster of the journey, but that might be what someone wants. 281 00:15:54,959 --> 00:15:56,729 Somebody might want that level of. 282 00:15:57,229 --> 00:15:59,839 Of data and that more. 283 00:16:00,589 --> 00:16:01,969 Medical model. 284 00:16:02,059 --> 00:16:03,469 And that's actually probably more of like a. 285 00:16:03,969 --> 00:16:05,979 Elite sport training model. 286 00:16:05,979 --> 00:16:06,609 I would think. 287 00:16:07,109 --> 00:16:10,019 I do think the journey aspect of this is much more important. 288 00:16:10,519 --> 00:16:12,529 Then the objective. 289 00:16:13,009 --> 00:16:14,179 Measurement nature of it. 290 00:16:14,269 --> 00:16:17,779 I, I know they can go hand in hand that those can exist together. 291 00:16:18,499 --> 00:16:21,589 But it, I feel like it's generally. 292 00:16:22,279 --> 00:16:23,929 Possible to go too far. 293 00:16:24,409 --> 00:16:25,249 In either direction. 294 00:16:25,669 --> 00:16:27,799 But I do think a healthy balance can be struck. 295 00:16:28,459 --> 00:16:28,879 Stricken. 296 00:16:29,569 --> 00:16:30,049 Stroking. 297 00:16:30,549 --> 00:16:34,419 One final thought on the polyvagal theory as an algorithm. 298 00:16:34,869 --> 00:16:39,609 The algorithm always leads us toward safety towards self-regulation. 299 00:16:40,239 --> 00:16:44,049 Toward co-regulation towards survival toward homeostasis toward 300 00:16:44,079 --> 00:16:46,449 optimizing our bottle, your resources. 301 00:16:46,479 --> 00:16:49,449 That is the goal of the Al algorithm. 302 00:16:50,049 --> 00:16:51,909 Is to lead us in that direction. 303 00:16:52,409 --> 00:16:53,459 No matter what state you're in. 304 00:16:53,459 --> 00:16:54,539 It's always about survival. 305 00:16:55,349 --> 00:16:57,509 It's always about optimizing our resources. 306 00:16:58,669 --> 00:17:00,049 Yeah, trauma gets in the way. 307 00:17:00,319 --> 00:17:01,039 Sodas. 308 00:17:01,579 --> 00:17:06,049 Society on numerous levels, government religious, other institutions. 309 00:17:06,649 --> 00:17:07,789 Tons of stuff gets in the way. 310 00:17:08,289 --> 00:17:09,249 Fear gets in the way. 311 00:17:09,819 --> 00:17:12,579 Distractions get in the way behavioral adaptations get in the way. 312 00:17:13,079 --> 00:17:13,649 But. 313 00:17:14,219 --> 00:17:17,099 For ourselves as organisms, as living things. 314 00:17:18,029 --> 00:17:18,959 That is. 315 00:17:19,529 --> 00:17:22,109 Always the goal of the algorithm is to. 316 00:17:22,889 --> 00:17:23,939 Optimize resources. 317 00:17:24,779 --> 00:17:27,779 Or ensure survival is as best it can. 318 00:17:28,279 --> 00:17:31,969 Therefore, the goal is always eventually to get to safety and 319 00:17:31,969 --> 00:17:33,469 co-regulation self-regulation. 320 00:17:33,969 --> 00:17:38,729 That algorithm, if you listen closely enough you'll feel 321 00:17:38,729 --> 00:17:40,289 the poles of the algorithm. 322 00:17:40,789 --> 00:17:44,239 You'll feel the poles towards safety and tore connection. 323 00:17:44,269 --> 00:17:44,869 It is there. 324 00:17:44,899 --> 00:17:46,399 It's not always easy to identify. 325 00:17:46,879 --> 00:17:50,029 It's not always easy to feel and to tolerate, but they are there. 326 00:17:50,329 --> 00:17:54,529 It is possible though, to listen and have more awareness and curiosity. 327 00:17:55,029 --> 00:17:56,499 As to what pulls us. 328 00:17:57,159 --> 00:18:00,069 What we feel those safety tugs in the right direction. 329 00:18:00,969 --> 00:18:03,369 As you feel those you can continue to follow those. 330 00:18:03,489 --> 00:18:06,129 That algorithm will take you in the right direction. 331 00:18:06,129 --> 00:18:06,609 I think. 332 00:18:07,109 --> 00:18:08,489 And it might just start with your environment. 333 00:18:08,989 --> 00:18:11,299 And setting yourself up with some passive safety cues. 334 00:18:11,799 --> 00:18:13,989 Thanks so much for joining me on stuck now, broken. 335 00:18:14,489 --> 00:18:16,349 If you're ready to take the next step for you. 336 00:18:16,349 --> 00:18:19,679 I do have my stuck not broken total access membership. 337 00:18:20,339 --> 00:18:23,219 Within the total access membership, you get all of my. 338 00:18:23,909 --> 00:18:27,209 Trauma recovery courses that are built on the political theory. 339 00:18:27,209 --> 00:18:28,529 You get my private community. 340 00:18:29,249 --> 00:18:32,189 You get to meet with me twice a month in virtual meetups. 341 00:18:32,249 --> 00:18:34,829 Ask any questions you need to clarify. 342 00:18:35,309 --> 00:18:39,239 What you need to clarify on your own personal trauma recovery journey. 343 00:18:39,739 --> 00:18:40,549 You won't be alone. 344 00:18:40,579 --> 00:18:42,259 The community is fantastic. 345 00:18:42,759 --> 00:18:43,899 You won't have to wonder. 346 00:18:44,399 --> 00:18:47,699 And I packaged every piece of self-regulation knowledge that I have. 347 00:18:48,269 --> 00:18:50,279 Into those three courses. 348 00:18:51,149 --> 00:18:53,429 That you can use anytime you want at your own pace. 349 00:18:53,929 --> 00:18:56,599 So if you're ready to take those next steps in getting unstuck. 350 00:18:56,989 --> 00:18:58,429 And he don't want to spend a ton of money. 351 00:18:58,979 --> 00:19:00,059 This is your invitation. 352 00:19:00,059 --> 00:19:01,409 This is your personal invitation. 353 00:19:01,919 --> 00:19:05,609 To consider subscribing to stuck now broken total access. 354 00:19:06,109 --> 00:19:07,789 Thanks so much for being a part of the podcast. 355 00:19:07,789 --> 00:19:12,349 I do look forward to the day rugged to greet you in the total access community. 356 00:19:12,849 --> 00:19:14,199 Thank you so much for listening fellow stuck. 357 00:19:14,229 --> 00:19:17,319 Now I do hope this episode has been a helpful resource for you. 358 00:19:17,769 --> 00:19:21,279 And learning about and applying the polyvagal theory to your 359 00:19:21,279 --> 00:19:22,599 trauma recovery journey. 360 00:19:23,469 --> 00:19:23,709 Bye.