You know, the polyvagal theory and how it generally relates
Speaker:to mental health and trauma.
Speaker:But have you ever considered what the theory implicates for behavior and choice?
Speaker:If our thoughts and our behaviors are dependent on our states, then what does
Speaker:this mean in our ability to choose?
Speaker:What does this mean in our ability to make change?
Speaker:Or help someone else make a change.
Speaker:My name's Justin sincerely.
Speaker:I'm a therapist, a coach, and the creator of the polyvagal trauma relief system.
Speaker:Welcome to Stuck Not Broken where I teach you how to live with more calm, confidence
Speaker:and connection without the psychobabble.
Speaker:We're going to nerd out polyvagal style one more time.
Speaker:I think maybe more, but at least one more time.
Speaker:This might be the deepest nerdery yet.
Speaker:And I'm glad that you're here for it.
Speaker:If you don't know the political theory, this is definitely
Speaker:not the episode for you.
Speaker:Head on over to episode 1 0 1.
Speaker:Of this podcast and start from there.
Speaker:Dr.
Speaker:Steven Portis wrote a paper called the bagel paradox that released in 2023.
Speaker:And within this paper, he describes the polyvagal theory as an algorithm.
Speaker:What is an algorithm?
Speaker:From our friends at Miriam Webster, they define it as a step
Speaker:by step procedure for solving a problem or accomplishing some end.
Speaker:That's more of a broader definition though.
Speaker:Also from our friends at- our good friends at Marion Webster- is a procedure
Speaker:for solving a mathematical problem in a finite number of steps that frequently
Speaker:involves repetition of an operation.
Speaker:Both definitions of an algorithm involve a problem.
Speaker:There's also reference to a procedure in both definitions being a way to solve
Speaker:a problem that reoccurs or can reoccur.
Speaker:And there's an end result in both of those definitions.
Speaker:This leaves us with a general three-step sort of model for
Speaker:algorithms and what they do.
Speaker:And that three-step model is there's a problem.
Speaker:Procedure and a result, or there is an input.
Speaker:The algorithm and an output.
Speaker:Or there's the context.
Speaker:A process and an output.
Speaker:We're all kind of saying the same thing, but just different ways.
Speaker:To word it.
Speaker:So there is there's some sort of contextual input or a problem.
Speaker:Then there's a process or problem solving.
Speaker:And then there's a result.
Speaker:The word algorithms typically use when we're discussing computer
Speaker:programming, data and math.
Speaker:You've probably heard it in reference to social media algorithms.
Speaker:Where a platform like YouTube adjust their recommendations based on what
Speaker:they want to see in the results.
Speaker:So YouTube has a desired outcome.
Speaker:They changed the equation of their search engine to get the outcome.
Speaker:But an algorithm could also be making a peanut butter and jelly sandwich.
Speaker:The input is the ingredients.
Speaker:The procedure is the steps required or are the steps required for making the
Speaker:sandwich, like, you know, piece of bread.
Speaker:Peanut butter jelly, and another piece of bread.
Speaker:He use a a knife to put it on.
Speaker:The bread and put it together.
Speaker:Like there's a procedure.
Speaker:And the output is the sandwich, which by the way, any sandwich or anything
Speaker:really in life should never involve peanut butter because it's disgusting.
Speaker:It tastes gross.
Speaker:It smells gross and texturally is, ugh, it's awful as well.
Speaker:No, I don't take many.
Speaker:Hard for him lines on things here in the podcast.
Speaker:It's not many hot takes from me, but that one I'm pretty darn serious about.
Speaker:But Dr.
Speaker:Porges is not applying the idea of an algorithm to.
Speaker:Math or to social media or to making a sandwich.
Speaker:He's discussing it more in terms of behavior.
Speaker:And in the paper, he illustrates that the traditional behavioral model is
Speaker:cause and effect or trigger and response.
Speaker:One example is a traffic light changing from green to yellow or to red, and
Speaker:that results in some sort of response.
Speaker:So when it goes to yellow, the driver slows down the vehicle at red.
Speaker:The vehicle, the driver stops the vehicle entirely.
Speaker:And with green, the driver would go.
Speaker:There's a stimulus and a response.
Speaker:Another example is a dog hearing a can opener.
Speaker:And expecting food.
Speaker:The stimulus or trigger would be the sound of a can opener.
Speaker:The behavioral response would be that the dog runs to the kitchen and expects food.
Speaker:One more example would be employee performance and a monthly bonus.
Speaker:The stimulus or a trigger.
Speaker:Would be the introduction of a performance-based monthly
Speaker:bonus, like an incentive.
Speaker:The behavioral response would be that the employee or employees
Speaker:increase their work output.
Speaker:Or improve the quality of their work to meet the criteria for the bonus.
Speaker:Stimulus response.
Speaker:That's the traditional way of looking at behavior, but in this paper, When looking
Speaker:at the polyvagal theory as an algorithm.
Speaker:Dr.
Speaker:Porges suggests that the there's a middle piece that's missing
Speaker:here, which is the step-by-step process for getting the output.
Speaker:Porges suggests that the political theory acts as an algorithm.
Speaker:Between the stimuli.
Speaker:And the behavioral response.
Speaker:So the driver does not simply break when the traffic light turns red.
Speaker:The political theory provides the algorithm in between the traffic
Speaker:light and the driver breaking.
Speaker:So that would be the traffic light changes to red.
Speaker:And then the political theory acts as an algorithm and I'll get more detailed.
Speaker:And that results in the behavior of braking or some other behavior.
Speaker:So between the red light and the behavior, there is an autonomic
Speaker:process that calculates the context and spits out the behavior of the driver.
Speaker:Algorithms have to have a goal to them, a reason or an objective that
Speaker:frames, the processing of the inputs.
Speaker:Like I said before social media companies, they may want to
Speaker:increase clicks on certain types of content and reduce others.
Speaker:So they changed their algorithm to meet that goal.
Speaker:For example, if YouTube wanted to enhance polyvagal theory information
Speaker:they could do so by changing the parameters of their algorithm.
Speaker:My content then would be input.
Speaker:Then it would go through the YouTube algorithm or formula.
Speaker:And result in maybe getting more clicks.
Speaker:But the algorithm isn't just acting by itself.
Speaker:There is a, a goal that it is.
Speaker:Spitting out or leaning toward.
Speaker:If we returned to the algorithm of making the sandwich, the goal is to make a
Speaker:sandwich, the steps or the algorithm.
Speaker:Meet that goal or result in a sandwich.
Speaker:So the end result of an algorithm may not be specifically known,
Speaker:but it may generally be known.
Speaker:Like we don't know the way that the sandwich will look or the way it's
Speaker:going to taste, but we can still use the algorithm of making a sandwich.
Speaker:To get the general and result of a sandwich.
Speaker:So if the political theory was an algorithm, What would the goal be?
Speaker:Well, the political theory is really a compilation of many ideas.
Speaker:Neuroception autonomic primary and mixed states.
Speaker:Co-regulation.
Speaker:How our senses are used in neuroception all kinds of
Speaker:things that go into the theory.
Speaker:But what do all these pieces when put together?
Speaker:What do they strive for?
Speaker:What's the goal of these pieces?
Speaker:Within us as organisms.
Speaker:And that would be survival and homeostasis or optimal functioning.
Speaker:That's the goal.
Speaker:That's the goal of the political theory in working as an algorithm is
Speaker:to increase the chances of survival.
Speaker:And if surviving then to increase the use of bodily resources for homeostasis.
Speaker:Or optimal functioning.
Speaker:Survival and optimal functioning are always the goal.
Speaker:At all times.
Speaker:Even when we're making a sandwich or when a traffic light turns red.
Speaker:So the algorithm of the polyvagal theory, even when there was a
Speaker:traffic light that turns red.
Speaker:Or even when we have to make a sandwich, the algorithm of survival and
Speaker:optimal functioning is still active.
Speaker:So the pieces of the polyvagal theory act as the algorithm leading to a behavior.
Speaker:The states that are your political state safety, flight fight, shutdown
Speaker:or the mixed states as well.
Speaker:The state is an intervening variable.
Speaker:So when the traffic light turns red, and the driver has a response, the
Speaker:state of the driver is the algorithm.
Speaker:The state of the driver is a variable that shouldn't be ignored.
Speaker:But, you know, like I know that the state of the body changes.
Speaker:And can actually get, even get stuck like a defensive state.
Speaker:We can get stuck there in a traumatized state.
Speaker:So the inputs, the context of the situation that doesn't change,
Speaker:but the algorithm kind of does.
Speaker:At least the way I'm understanding it and that can lead to different
Speaker:behaviors, even with the same context.
Speaker:For example, the red light is still the red light.
Speaker:But the states.
Speaker:Can be with more or less safety leading to different results, like coming
Speaker:to a stop and following the rule.
Speaker:Or speeding up at ignoring it.
Speaker:If you're in a safety state, you're probably more likely to follow
Speaker:the rules and come to a gentle, complete stop at a red light.
Speaker:If you're in a dysregulated flight fight state, you might be less
Speaker:likely to, and you might be more likely to actually speed up.
Speaker:And ignore the red light or at least ignore the the yellow light.
Speaker:But here in my lovely city of Stockton, California, there is a serious
Speaker:problem of people running red lights.
Speaker:If you live here, please knock it off.
Speaker:It's it's really bad.
Speaker:Another hot take for you.
Speaker:That's the general idea of the algorithm.
Speaker:It's an intervening variable, the political theory and what state someone
Speaker:is in is an intervening variable.
Speaker:It's not something that we could ignore and just look at stimulus and response.
Speaker:There's something happening that's processing the stimulus
Speaker:and outputting the response.
Speaker:So let's think about this algorithm and other contexts.
Speaker:Like students in your classroom.
Speaker:If you're a teacher, Or your communication with your loved ones, or if you're
Speaker:a therapist and you have clients.
Speaker:What's the potential of their behavior based on their algorithms.
Speaker:Like I said before the context may not change.
Speaker:The red light is still the red light.
Speaker:So I'm going to ask you.
Speaker:Is there something about the inputs that we can change?
Speaker:Can we do things to change the context to shift someone's
Speaker:state to get a different result?
Speaker:Because if we shift the state, the result is going to be different as well.
Speaker:Or if we help to shift the state.
Speaker:And this is exactly why in my polyvagal trauma relief system.
Speaker:I highly emphasize the environment and manipulating one's environment.
Speaker:This is the starting point, I think.
Speaker:If you don't have a safe environment, If you don't have safe context or in
Speaker:our algorithmic a world right now, if we don't have safe inputs, save
Speaker:context, then the results or the behaviors, the thoughts, the emotions.
Speaker:All of those are going to be with less safety because the inputs have
Speaker:less safety or partially that's why.
Speaker:So in these different contexts of our lives, or even for yourself in your
Speaker:own self-regulation whether you're in the political trauma release system
Speaker:or not, can you set passive safety cues, things that just provide you
Speaker:with safe context without having to actively do anything about it.
Speaker:Can you set yourself up with this constant stream of passive safety neuroception?
Speaker:And then can you build on that through more active means?
Speaker:So for yourself or in your professional capacity, or maybe, you know, as a
Speaker:teacher or in your home environment, your family, can you create
Speaker:more safety in your environment?
Speaker:Can you create more safety in the structure, the rules and the norms.
Speaker:Can you create more safety in the predictability of the environment?
Speaker:All of these things are going to act as inputs that will help shift
Speaker:someone's state to more safety.
Speaker:And potentially lead to more safety as an output.
Speaker:And by the way, You're an input.
Speaker:You are part of the context of other people.
Speaker:So, what are you giving off as far as being an input into their algorithm?
Speaker:Are you giving safety that will be processed by their algorithm and then
Speaker:have a different outcome or a more positive outcome for everybody involved?
Speaker:We of course don't control other people's behaviors, but
Speaker:we absolutely influence them.
Speaker:And I think one of the ways that we influenced them as by changing
Speaker:what cues that we're giving them.
Speaker:Which is then processed by their algorithm.
Speaker:Basically then, do the best you can to be a safe input for their algorithm.
Speaker:I also kind of wonder with this, is there a predictive nature?
Speaker:Or predictive potential to the political theory as an algorithm.
Speaker:Just on a conceptual level, we can make inferences about someone's behavior based
Speaker:on what we know about their algorithm.
Speaker:Or what we know about their current states and they're stuck date as well.
Speaker:So I know that overstimulating someone in shutdown is probably not going to help
Speaker:and might even lead to further shutdown.
Speaker:I would need to calm myself down and align with them in an environment
Speaker:that's conducive to shut down.
Speaker:So I know enough about that person's algorithm to make some changes.
Speaker:Because I can likely predict that some pieces or some inputs of the
Speaker:environment are going to have a less beneficial result for, for them.
Speaker:In my professional capacity, you know, working as a therapist.
Speaker:I know that someone who's stuck in freeze likely will not do well with telling
Speaker:their trauma narrative again and again.
Speaker:I know that for that person, it likely may result in more significant
Speaker:shutdown and numbing and association.
Speaker:In other words, I know enough about their algorithm to change
Speaker:the inputs that I'm giving them.
Speaker:So I know that part of shifting their state.
Speaker:And helping them meet their therapeutic goals is good.
Speaker:Involve building the strength of their safety state.
Speaker:And then we might be able to go into their trauma narrative if they want to.
Speaker:So what if we knew there.
Speaker:State or their algorithm.
Speaker:What if we also knew their vehicle efficiency, what if we had access to.
Speaker:Vega efficiency measurements.
Speaker:And we had access to self reports.
Speaker:Internal sensations.
Speaker:And we had behavior reports from their daily life.
Speaker:Maybe they're keeping a log.
Speaker:What if we had observational data and self-report autonomic data.
Speaker:Yeah, tons of data.
Speaker:And I don't think anyone's asked you for that.
Speaker:But all of this actually really might help too.
Speaker:Build or paint.
Speaker:A clearer picture of that person's algorithm.
Speaker:And might actually help to inform more beneficial treatments.
Speaker:Is it necessary?
Speaker:No, I don't think so.
Speaker:And again, I don't think I want to ask you for that.
Speaker:I think it's kind of cool though.
Speaker:But that level of.
Speaker:Objectifying one's trauma recovery journey.
Speaker:Nah, I dunno.
Speaker:It, it kinda, it does something to it that.
Speaker:Takes away.
Speaker:Some of the luster of the journey, but that might be what someone wants.
Speaker:Somebody might want that level of.
Speaker:Of data and that more.
Speaker:Medical model.
Speaker:And that's actually probably more of like a.
Speaker:Elite sport training model.
Speaker:I would think.
Speaker:I do think the journey aspect of this is much more important.
Speaker:Then the objective.
Speaker:Measurement nature of it.
Speaker:I, I know they can go hand in hand that those can exist together.
Speaker:But it, I feel like it's generally.
Speaker:Possible to go too far.
Speaker:In either direction.
Speaker:But I do think a healthy balance can be struck.
Speaker:Stricken.
Speaker:Stroking.
Speaker:One final thought on the polyvagal theory as an algorithm.
Speaker:The algorithm always leads us toward safety towards self-regulation.
Speaker:Toward co-regulation towards survival toward homeostasis toward
Speaker:optimizing our bottle, your resources.
Speaker:That is the goal of the Al algorithm.
Speaker:Is to lead us in that direction.
Speaker:No matter what state you're in.
Speaker:It's always about survival.
Speaker:It's always about optimizing our resources.
Speaker:Yeah, trauma gets in the way.
Speaker:Sodas.
Speaker:Society on numerous levels, government religious, other institutions.
Speaker:Tons of stuff gets in the way.
Speaker:Fear gets in the way.
Speaker:Distractions get in the way behavioral adaptations get in the way.
Speaker:But.
Speaker:For ourselves as organisms, as living things.
Speaker:That is.
Speaker:Always the goal of the algorithm is to.
Speaker:Optimize resources.
Speaker:Or ensure survival is as best it can.
Speaker:Therefore, the goal is always eventually to get to safety and
Speaker:co-regulation self-regulation.
Speaker:That algorithm, if you listen closely enough you'll feel
Speaker:the poles of the algorithm.
Speaker:You'll feel the poles towards safety and tore connection.
Speaker:It is there.
Speaker:It's not always easy to identify.
Speaker:It's not always easy to feel and to tolerate, but they are there.
Speaker:It is possible though, to listen and have more awareness and curiosity.
Speaker:As to what pulls us.
Speaker:What we feel those safety tugs in the right direction.
Speaker:As you feel those you can continue to follow those.
Speaker:That algorithm will take you in the right direction.
Speaker:I think.
Speaker:And it might just start with your environment.
Speaker:And setting yourself up with some passive safety cues.
Speaker:Thanks so much for joining me on stuck now, broken.
Speaker:If you're ready to take the next step for you.
Speaker:I do have my stuck not broken total access membership.
Speaker:Within the total access membership, you get all of my.
Speaker:Trauma recovery courses that are built on the political theory.
Speaker:You get my private community.
Speaker:You get to meet with me twice a month in virtual meetups.
Speaker:Ask any questions you need to clarify.
Speaker:What you need to clarify on your own personal trauma recovery journey.
Speaker:You won't be alone.
Speaker:The community is fantastic.
Speaker:You won't have to wonder.
Speaker:And I packaged every piece of self-regulation knowledge that I have.
Speaker:Into those three courses.
Speaker:That you can use anytime you want at your own pace.
Speaker:So if you're ready to take those next steps in getting unstuck.
Speaker:And he don't want to spend a ton of money.
Speaker:This is your invitation.
Speaker:This is your personal invitation.
Speaker:To consider subscribing to stuck now broken total access.
Speaker:Thanks so much for being a part of the podcast.
Speaker:I do look forward to the day rugged to greet you in the total access community.
Speaker:Thank you so much for listening fellow stuck.
Speaker:Now I do hope this episode has been a helpful resource for you.
Speaker:And learning about and applying the polyvagal theory to your
Speaker:trauma recovery journey.
Speaker:Bye.