Become a Creator today!Start creating today - Share your story with the world!
Start for free
00:00:00
00:00:01
FC2O Preview
26 Plays6 years ago
Have you found no matter how hard you try, the advice you get is not giving you the results you're looking for? FC2O is a new podcast to help you cut a clear path through the sea of confusion - providing you with simple solutions from masters in their fields. Join us on this free, engaging and valuable resource
Recommended
Transcript
Introduction to FC2O Podcast
00:00:10
Speaker
From chaos to order From chaos to order From chaos to order
00:00:28
Speaker
Hello, and welcome to FC2O, From Chaos to Order, with me, Matt Walden, and my various guests I'm very excited to tell you about. But before we do that, I was going to give you a bit of a preview and just let you know what the whole show is about. So as you'll have gathered from the title, what we're aiming to do with the show is to identify order within the chaos that's out there.
Challenges in the Information Age
00:00:52
Speaker
And one of the themes for this really is that we're in the information age, and of course,
00:00:58
Speaker
But even as far back as 1993, Duran Duran, the pop group Duran Duran released a song called There's Too Much Information. And I remember at the time thinking a kind of interesting title for a song and I could kind of get where they were coming from, but it didn't strike me that it was an issue. But as we've, of course, if you think 1993, that's pre-internet really. And so the amount of information that's become available
00:01:22
Speaker
since the advent of the internet is just exponential in its growth. And this actually does pose a real world problem. And so in my field of medicine, one of the big challenges is that back around that same time around the 1990s, there was a real call for evidence-based medicine. So rather than using anecdotes or things that seem to have worked in practice for a period of time,
00:01:48
Speaker
really the cause that people had to get up to speed with the research. And so that was a great initiative. But quite quickly it came under fire because one of the big challenges with evidence-based medicine is that there's so much evidence now that it's almost impossible to sift through. And an example would be that if you turned up to the hospital
00:02:14
Speaker
So you go to the emergency room or accident emergency here in the UK, and with severe stomach pain, it looks like you might have a stomach ulcer. Well, if the doctor's going to practice evidence-based medicine, then they'll probably have a couple of hundreds evidence-based, high-quality research papers to read through before they decide what's the best thing to do in your case.
00:02:36
Speaker
So you can see that the sheer volume of information in that instance is just not practical. And of course some of that information also is going to be contradictory. One study will find that it should be this medicine, another study will show it should be that medicine, and then another study will show you shouldn't use medicine at all.
00:02:53
Speaker
So this is the sort of challenge that we have going on in medicine, but also in all fields at the moment.
Managing Medical Complexity
00:03:00
Speaker
And this is related to just the level of specialization that's occurred in society, which is a fantastic thing on the one hand. But the challenge is, and I think this is where I hope the podcast will serve a function,
00:03:15
Speaker
is in cutting through the complexity that comes with that level of specialization and bringing it back to something that's usable and understandable. So one of the classic examples of this is the white coat scenario where the patient isn't really able to understand what the doctor's saying because the doctor's bedside manner isn't fantastic, and the patient's a bit nervous because of the white coat, so they're not really listening. And you get this kind of breakdown in communication.
00:03:45
Speaker
Whereas if the doctor is much more amenable and doesn't seem to have these distinguishing marks such as white coats and so on that put them in a different level of hierarchy and don't use a foreign language, which is what medical language is to most patients,
00:04:02
Speaker
then that has been shown to really help patients, not just hospital patients, but patients with low back pain, patients with other musculoskeletal problems, you use the right language, then that makes a massive difference to the outcome.
00:04:17
Speaker
One of the ways that medicine and academia in general has attempted to get around this challenge is that they have introduced what's called meta-analyses or systematic reviews. And so a meta-analysis is where you pick a topic. So in my field, it might be low back pain or persistent low back pain or could be disc injury or something like that. And so you decide, OK, this is what I'm going to focus my research on.
00:04:44
Speaker
And so you go to all the major medical search engines, and you tap in your terms. So let's say it's a lumber disk injury. Okay, so you tap that in, and of course you're going to get probably, you know, 5,000, 10,000 papers come up. So yeah, okay, that's too many for me to read. Too much information again. So what am I going to do? Well, let's make the papers, because I don't speak any foreign languages, let's just make those papers in English. So you narrow it down. Now it's down to 8,000 papers. Okay.
00:05:12
Speaker
Fine, how about making it randomised controlled trials only? So you're upping the ante, you're making it more and more technical, more and more high quality papers. So eventually you get to a point where you've maybe whittled it down to maybe 50 papers, maybe even 10 papers, but the very highest quality papers, and that's what a meta-analysis is or a systematic review.
00:05:34
Speaker
And so then from then those remaining papers, in fact there's one that I've looked at recently which was looking at spinal curves and back pain. And I think that did start out with around 10,000 papers and it ended up with 54. Okay so they reviewed these 54 papers and then they looked to see what the common threads were.
00:05:53
Speaker
And so then from those 54 papers they make the recommendation that in this instance they said well spinal curves don't relate to pain and therefore essentially the inference from that is we shouldn't be worried about people with increased spinal curves. Now there's some some big potential flaws with that way of thinking and this is the challenge is that
00:06:15
Speaker
What you're doing and what often occurs and occurred in that instance is that you're ironing out the data to flatten it all out. And what I mean by that is that in this instance, you're taking what would be called a heterogeneous condition. And heterogeneous essentially means that there's many different things that can cause back pain. It's not just one thing. There's multiple factors from a mechanical perspective. There's multiple factors from a biochemical perspective.
00:06:44
Speaker
viruses and infections can cause back pain, then of course psychological and emotional side to it. So there's so many things that can contribute to back pain that if you then say what do spinal-sagittal curves relate to back pain, because you're using back pain as a heterogeneous term for all of these, sorry a homogeneous term for a heterogeneous condition, then
00:07:13
Speaker
Let's say, for example, one part of the back gets stressed when your back's too flat, another part gets stressed when it's too extended. Well, if you just look to see if people with back pain have too much curve in the back, well, some of them are going to have flat backs and some of them are going to have curved backs. So here's a real issue is that on balance, when you iron that out and iron out the statistics, what you end up with is
00:07:35
Speaker
OK, no, it doesn't make a difference because these people have flat backs and they have pain. These people had curve backs and they have pain. So we're going to say, no, it doesn't matter. And that's what happened with this study. So and that's just an example of people essentially focusing too much on the data and not on real world, let's say, real world information, clinical information, practical experience, physics as an example there. But anyway, so so that's that's
00:08:05
Speaker
a bit of an issue and in fact there's been a lot of research into these forms of research so you know you get people that do the research but then you get researchers that research to see if the research is any good and there's this one guy called Ionitis who I believe is from Stanford University I have to double check that but his work is to look at research methods and say are these any good so he's looked into these meta-analyses and systematic reviews
00:08:29
Speaker
And what he's found is that somewhere around 3% of them are worth the paper they're written on and 97% really aren't, they either don't add anything new or they're flawed or they're actually deliberately biased because they're bought and paid
Bias in Research
00:08:43
Speaker
for. So here's an issue with research and science is that
00:08:48
Speaker
Quite naturally, scientists need to be paid and so they get jobs with companies that can afford to pay them and the companies that can afford to pay them are quite frequently companies that are making medicines or making foods or making equipment.
00:09:03
Speaker
And so then when the scientist is employed by that company, well, they are essentially being employed to use their science to support the marketing team. And, you know, so as an example, one of my mentors and colleagues and friends, Paul Czech,
00:09:20
Speaker
He has figures in one of his videos called Flatten Your Abs Forever, which is a great video, by the way. So if you want to check that out, you'll be able to find that on checkinstitute.com. But he had figures which said, and I think I've got this right. I know the percentage is right, but he said, in the UK, at that point in time, there was about 1,000 full-time food research scientists.
00:09:42
Speaker
Now it might be 10,000, but the figures, like I say, they remain the same because what he found when you looked into it, that was only about 6% of them had, sorry, not 6%, 0.6% of them,
00:09:58
Speaker
were independent. What you find is that more than 99% of those scientists are working for a company, so they're being paid to find a result for the company. Of course, I'm not saying these guys are disingenuous, but
00:10:14
Speaker
the point is that if someone's paying you to find something, then you're much more likely to pick the right statistical methods or to readjust the experiment so that you get the results that you need to support the company you're working for. So that's a big challenge throughout medicine. Even just a couple of years ago, the
00:10:31
Speaker
the editor of the New England Journal of Medicine retired. She resigned because she said the whole system was so biased and corrupt. Now, that's one of the most prestigious medical journals in the world. So it gives you an insight when someone at that higher level has been essentially farming this kind of information out as her job, decides she can't take any more of it, and so resigns. So not to sort of say,
00:11:00
Speaker
conspiracy theory, you know, don't believe a word anyone says, but it's more to say that there's an issue with information and we don't know who to trust. We don't know what information is good, what information is bad. So the podcast is designed to help cut a path through some of that complexity.
00:11:18
Speaker
So, now, you know, another factor here is that, of course, if you think of the fact that doctors only have a very small amount of time to work with clients, what this means is that if they are trying to sift through all the research, then they're going to struggle. And, you know, the average doctor has somewhere between about 5 and 15 minutes to work with a patient.
Applying Evolutionary Principles
00:11:42
Speaker
And so again, that's just another example of why too much information is a problem. So really what we need is key principles and core kind of maps to help us find a way through this complexity. So this leads me into talking about Phil Beach because Phil was one of my teachers. He's now a good friend and a colleague and we've co-presented a number of times. But he's a huge inspiration to me because Phil
00:12:13
Speaker
The way he helped to find a path through this, the complexity of information that's out there is he used embryology and evolutionary anatomy and evolutionary principles to understand the human body. So essentially what he did was he went back to how the body was built literally in utero, but also the forces that shaped it from an evolutionary perspective. And Phil was the first person to talk to me about something called attractors.
00:12:41
Speaker
And essentially an attractor is a stable state in a system. So the human body is a system. Your blood pressure is a system. Obviously, you've got your respiratory system, your musculoskeletal system, your nervous system, you've got all kinds of different systems within the body. And they all need to remain in a relatively stable state.
00:13:00
Speaker
otherwise you start to get symptoms. So Phil was really talking about this from more of a biomechanical perspective and one of the concepts that he developed is an idea called archetypal rest postures which we're going to interview Phil by the way so we can dive into that in a lot more detail when we get the chance. But these archetypal rest postures essentially are examples of attractor states because they are stable states for the body's biomechanics
00:13:28
Speaker
that we return to on a daily basis multiple times per day and the human physiology and biomechanics have evolved to return to those states and essentially what he's talking about is various rest postures that any indigenous, if you study any indigenous people and even some of the higher primates
00:13:48
Speaker
they have a certain repertoire of rest postures they can use and that would be to squat deep and to rest down in a squat position, to kneel and you can kneel high on your toes or you can kneel low on your feet, on the backs of your feet. You can sit cross legged and you can sit long legged and then there's a few variations within that and combinations but that's essentially the repertoire of human rest positions.
00:14:10
Speaker
And so for millions of years our ancestors would have been using those positions and that would have helped to shape and to hone and to refine the length tension relationships in our muscles and our joints and would have had multiple other potential benefits which we'll dive into. But the point there is is that that's an example of something that is simple. It's a simple solution.
00:14:35
Speaker
to what could be a very complex problem.
Mastery Through Simplicity
00:14:37
Speaker
If you're looking at length-tension relationships, for example, and which muscles to stretch and in which ratio and so on and so forth, then that's quite a degree of complexity, and there's nothing wrong with that. But if you're looking for something that's more, let's say, homeostatic and designed to keep you in balance, so before you go out of balance, then something like the archetypal rest postures is a perfect solution.
00:15:02
Speaker
So there's an example there of something that I wanted to dive into and give as an example to you guys.
00:15:11
Speaker
You'll see on the logo for the podcast that there's a series of planets there, and the sun is on the left-hand side. And that's there by design, because one of the things that Phil explained to me about these attractor states is that an example of an attractor state is the Earth moving around the sun. So it predictably moves around the sun at roughly 365 days. Sorry, yeah, 365 days.
00:15:42
Speaker
cycles and of course the moon cycles around the earth as well so it's in an attractive state with us but that it wasn't always that way and so it started out that there was of course you know the big bang and various rocks flying around the solar system and then sun emerge emerges at the center of the solar system and and then you know asteroid hips into planet earth and there's rocks all in the atmosphere and eventually they all converge into a single mass which is the moon and
00:16:10
Speaker
early on the moon was really close to the earth and gradually it's moved out and now it's somewhere around 240,000 miles away and it's staying pretty much there in an attractor state with the earth so the earth's in an attractor state with the sun so the sun's a massive attractor and then the moon is also an attractor to the earth so those are examples of attractor states so it's a it's a system solar system that has found a steady state of stability
00:16:40
Speaker
There are analogies to this in human function, but the important part there is that what that's illustrating is illustrating the chaos that occurred right at the beginning and then the order that emerges from chaos.
00:16:56
Speaker
You know, what has been known in mathematics for a few decades now, but also has been shown to occur in physics and in chemistry and in biochemistry and in biology and in sociology and in psychology, is that there are a track to states and that
00:17:14
Speaker
order always emerges from chaos. So, you know, this happens in social systems and, you know, like I say, write the way down, write the way up throughout biology and life in general. So that's really why I thought the title was a good title. Now Phil Beach also explained to me that
00:17:37
Speaker
he introduced me to modelling and unfortunately I don't mean, I'm not quite there for catwalk modelling. What I'm talking about is designing models and so he introduced me to a book, I'm trying to remember the name of the book, but it's written by a guy called John Hollins and it's called Emergence.
00:18:00
Speaker
John Holland, and it's called Emergence. Paraphrasing what John Holland said, he said that a good model will yield accurate predictions into the indefinite future. It essentially remains faithful to its predictions into the indefinite future.
00:18:20
Speaker
The whole thing with modeling is what you're attempting to do is to take a complex situation and then to design a simplified version of what's going on in order to make it predictable. One of the graphs I love, there's a great image which I'll share on my blog so you'll be able to see it on my blog.
00:18:43
Speaker
Essentially, I'll give you the background. I had been asked to present at a conference, and I was trying to convey this notion of there's always simplicity within the complexity of things. And so I googled simplicity and complexity. And by the way, I've stopped using Google now. I use Ecosia, and I recommend that Ecosia, E-C-O-S-I-A, to me seems equally as good a search engine. In fact, I think they probably use Google.
00:19:11
Speaker
as their back platform. But anyway, they're a great search engine. But what they do is instead of using their advertising revenues to make money, they use the advertising revenues to plant trees. So for every 45 searches you do, they'll plant a tree. So I'm up to a small forest now. But you know, I just figured, you know, why make Google richer?
00:19:34
Speaker
I think they're doing all right as it stands and why not just do something positive with something that I'm doing anyway. I'm doing multiple searches per day as most people are and so let's get planting trees. But anyway, so I did this search for simplicity and complexity and what I found was this lovely little graph
00:19:55
Speaker
which is essentially a bell-shaped curve, which I know most of you will be familiar with, but it's like a kind of inverted U. So if you're not familiar with it, it's like an upside-down U shape. And on the left-hand side of the graph, you've got the y-axis that goes vertically, and that one said complexity. So the complexity increases as you go up.
00:20:14
Speaker
along the x-axis, which is the one that's horizontal, you've got elegance. And so what it shows is that when you learn a new topic, then the complexity is relatively low. It's quite simple. It has to be simple because you have to try and get your head around some of the basic tenets. And so it starts out simple. Your elegance at performing that skill or understanding that concept is going to be low at that point. But if you can then
00:20:43
Speaker
work further through time and and higher into complexity then your elegance improves okay but if you imagine this bell-shaped curve as you go up the complexity goes up and up and up and up and eventually you reach a peak and your elegance is is getting pretty good by now but this is where a lot of
00:21:00
Speaker
experts get stuck. They're unable to then convey that level of complexity back to the layperson, back to the patient in the case of medicine, back to the house buyer in terms of a surveyor or maybe an accountant. There's all kinds of very technical professions that because they've gone right up to the top of that complexity curve, often they find it difficult to then convey that simply to the layperson.
00:21:28
Speaker
So the trick really is to keep going, to keep going along that x-axis, so improving your elegance. And as you keep going along that x-axis, what you see is the bell-shaped curve starts to come back down again, and now you find simplicity on the other side of complexity. And that's what I would term mastery. So, you know, someone who's really been around in their profession and has worked with a lot of clients and is being able, you know, part of what they've had to do is to teach clients and to explain
00:21:55
Speaker
complex concepts they inevitably come up with things like analogies and metaphors which are again examples of ways that you can explain complex challenges simply. So that is this image that I found but
00:22:16
Speaker
Then, in writing about it, I found a really nice quote. And this quote was from a guy called Oliver Wendell Holmes, Sr., who was a 19th century physician and poet. And he essentially said that, for simplicity on this side of complexity, I wouldn't give a fig.
00:22:36
Speaker
but for simplicity on the other side of complexity I would give everything and I thought that just sums it up beautifully because we want to be able to talk in these simple terms and this is why on the podcast what I'm going to be doing is interviewing people that are true masters in their field so that they can give you the simple
00:22:54
Speaker
nuggets that they've learned from their years and years of mastery. And of course, I know many of you will be aware of the 10,000 hour rule, but that's the notion that you've got to invest 10,000 hours minimum of active engagement in a topic or subject area to get to a level of mastery. And so most of these people I'm going to be interviewing will have had plenty more than 10,000 hours working in their given topic in active pursuit of mastery.
00:23:22
Speaker
So yeah, I wanted to share that with you so that you have that kind of understanding.
Health Principles and Complexity
00:23:26
Speaker
And one way that it relates to my own experience and understanding is that what I came to realize after maybe 10 years of being graduated as an osteopath and naturopath, which I don't know if I mentioned that. I don't think I did. But I trained as an osteopath and naturopath back in the 90s. And of course, that's where I met Phil Beach. But beyond that, I trained as a Czech professional, a Czech practitioner with the Czech Institute.
00:23:51
Speaker
where I met Paul Chek. And it was probably somewhere around 5-10 years after I graduated that I started to click, something started to click, which was that I recognized that there was this kind of simplicity that flowed through the complexity and that health was a great example of simplicity.
00:24:12
Speaker
you know it takes within three days on the check holistic lifestyle coaching you can know pretty much everything you need to know about health and yet it takes seven years to train as a doctor because they're training in disease and you know this may sound a little controversial and maybe it is but
00:24:34
Speaker
You can learn about health very quickly, because health is really very simple. There's just some key tenets. And of course, there's nuances within that. But there's six foundation health principles that we talk about on the Czech training and the Czech Institute, which is to eat right, to move right, to think right, to breathe right, to sleep right. And what have I said? Eat, drink, sleep, move, think. Did I say breathe? I said breathe.
00:25:01
Speaker
I should have written it all down. Anyway, there's six foundation health principles. And that is a great example of something that is the simplicity on the other side of complexity. Now, of course, just to tell you to move right doesn't really help you if you don't know what that means. And just tell you to drink right doesn't really help if you don't know what that means. So this is where the complexity and having been through that process is important. Otherwise, you're really just on the left hand side of that complexity curve, you it's been dumbed down and you don't really know where to go with it.
00:25:32
Speaker
So, I've just mentioned Paul check and he's someone that will be interviewing and will be coming up early in our presentation. So he's someone that's been a great influence on me. That was one example of one of his models that is an example of simplicity in the complexity, but he's got a whole bunch of other models.
00:25:50
Speaker
that he's developed, which are really easy to understand, really accessible, and essentially are great examples of finding order amongst the chaos out there. So I'm really looking forward to that presentation. Now, someone else who's popular out there at the moment is Jordan Peterson. And unfortunately, I can't say that I have him lined up as a guest, but he's certainly someone that I would love to have as a guest. But he, of course, his book is called An Antidote Chaos.
00:26:18
Speaker
When you look into what he's talking about, one of the things that he brings up is that the brain is really designed so that it's got a left hemisphere and a right hemisphere. So it's got this sort of lateralization, as they call it. And the left hemisphere is specialized more for analysis, for breaking things down, for sequential linear thinking.
00:26:41
Speaker
whereas the right brain is much more creative and expansive and it's whole picture so it's big picture thinking holistic in nature and so ideally we want both sides of the brain to be working well and to be integrated and you know one of the things is that if
00:27:00
Speaker
if you were to be stuck just in your right hemisphere then the world would be chaotic because you wouldn't be able to make sense of it, you wouldn't be able to put things into sequence. The flip side is that if you are too much in sequence then you can't see the big picture and so having the interaction of the two is vitally important but his point is that this must reflect the nature of reality. If you take evolutionary theory as your start point then
Order from Chaos
00:27:30
Speaker
If humans and other animals have developed this bilateral brain so that the organism can cope with both the chaos of reality, but also with the order of reality, then the fact that the biological hardware has evolved in that way shows you what you're dealing with. So it's quite incredible to think of it in those terms.
00:27:59
Speaker
What we do know is that order always tends to emerge from chaos. So you start to see patterns within the chaos. And so this is what pattern recognition is all about. That's what expertise is all about.
00:28:11
Speaker
pick up chaotic information from a patient or from a client or from someone, you know, it might be a policeman trying to put, a detective trying to put together a case. There's always chaotic information and gradually you piece it together and you create order out of the chaos. So this is, again, this principle that order always emerges from chaos eventually.
00:28:35
Speaker
Now I mentioned evolution there and Jordan Peterson.
Interview with Mark Sisson
00:28:41
Speaker
I'm also talking to, in fact, the very first podcast I'm going to release is with Mark Sisson, who I'm sure many of you will know. He's one of the leading names in the paleo world. He kind of rose to prominence back in, you know,
00:28:57
Speaker
the late 2000 and naughts. So 2006, 2007, 2008, he was blogging a lot on primal and paleo approaches. I think it was 2009, maybe 2010, he brought out his book Primal Blueprint, and it was probably the first popular book out there on the primal approach. So we're going to be interviewing him
00:29:17
Speaker
and digging into his own experience with finding order amongst the chaos. And one of the things that I love about the whole primal approach is it's a great technique.
00:29:32
Speaker
for identifying where something has merit. Now, of course, it's not going to be foolproof. But if someone were to come to you and say, hey, I've developed these amazing shoes with massive springs on them, and they propel you forwards 20% quicker than you can run with normal shoes. They decrease shock. They do this, do that.
00:29:56
Speaker
then you might think well that sounds really cool and there might be science to back it up you might think that sounds great and you buy them the next thing is is you end up with an injury and in fact talking about that one of my other upcoming guests is going to be barefoot ted and again some of you will recognize the name those of you that don't he is essentially the star of the born to run book which i just checked out earlier actually born to run fantastic book if you haven't read it
00:30:21
Speaker
It was when it came out in, I think, 2011. It was number one bestseller on Amazon under the fitness category, under the running category, under the athletics category, and it stayed that way for seven years. Now, I just checked it earlier, and it's still number one, I think, under the fitness category. It's number seven and number eight in the other categories. So it's just an amazing book to have done that well. Great story, but lots of information about
00:30:50
Speaker
barefoot running and the evolution of running and many other factors all woven into a whole kind of documentary style story where this guy barefoot Ted turns up wearing a pair of Vibram five fingers and of course everyone thinks he's mad and you know the whole story unfolds from there but I'm going to be interviewing barefoot Ted and we can hear it from the horse's mouth as it were or the monkey's mouth is
00:31:14
Speaker
Yes, I'll let him explain that to you. But again, barefoot running, another great example of simplicity within the complexity of things. So when you look at the biomechanics of the foot, so much complexity, you could study the foot and the mechanisms of the foot, the pathologies of the foot, you could study that for years. And in fact, people do, they're podiatrists. But
00:31:40
Speaker
When it comes down to it, if you allow the foot to function the way nature intended it to function, to be essentially bare or as close as you can get to bare in the environment that you're in, then the foot stays strong, it stays proprioceptive, in other words it's got good awareness of what's going on, the skin stays soft, ironically you would think it would turn hard but it stays soft,
00:32:02
Speaker
but it gets thickened so it's more like a pad and you can run on those things all day long without any cushioning and it also minimizes impact through your knees, hips, back, etc. So that's a great example of where nature's designed something that's incredibly simple in some ways, you just need to
00:32:21
Speaker
you know, run au naturale. But we come in with our wisdom and start putting our supports and cushions and springs and levers, all those kinds of things in. And that's where things start to go topsy-turvy. So, you know, back to the whole discussion of the example I was giving of springs in shoes.
00:32:39
Speaker
And someone comes to you with that and says, hey, I've got this great new idea. And then someone else says, hey, well, I've got a great idea. How about barefoot shoes? So shoes that are essentially giving you all the benefits of being barefoot, allowing the foot to flex and move the way it should do, but just protecting you a little bit from glass or from splinters or thorns or whatever.
00:32:59
Speaker
Which one are you going to go with? Well, for me, you know, I say, OK, well, what ties in with how we got here? And the springs certainly don't get close to tying in with how we got here, whereas the the.
00:33:13
Speaker
barefoot concept, well, that's exactly how we evolved. So we're well adapted to running barefoot, moving barefoot and so on. So that just gives it a lot more weight to me and helps to cut a path through the research that's out there and the conflicting information again. So, you know, one of the things that struck me actually on this topic
00:33:31
Speaker
is that, and I call it the Star Wars analogy. And the only thing that struck me is that when you look at Star Wars, those of you that remember the original A New Hope, which is episode four, it starts out with the writing going up the screen and it says a long time ago in a galaxy far, far away. And it tells you all about what's going on and so on and so forth.
00:33:53
Speaker
And of course, as a little kid watching that, I didn't think much of it. But then as an adult, it suddenly struck me because as I moved into my own adulthood, you start to see films going out of date. You see, I remember there was a, I think it was a TV program, maybe a film called Buck Rogers 2000. And so, you know, you're now in 2002 and you're watching this old film that's on TV on a
00:34:16
Speaker
you know a crappy channel on a saturday morning or sunday morning or something and you're like wow that's dated so much and and also you know you're in 2002 and you know we certainly didn't get to where buck rogers thought we were going to get to in the year 2000 so it's just completely died of death it's you know it's it can be put in the archives no one's going to watch that again but the thing with star wars and the clever thing about it is it's set in the past and that means it can't go out of date
00:34:42
Speaker
Isn't that a stroke of genius? So here's the thing. So evolution is set in the past and therefore it can't go out of date. So in other words, we could come up with a new idea. Let's say, oh, I've got this scientifically engineered food that's a whole food and you can eat this and you don't need anything else. And you might go, oh, that sounds like a great idea.
00:35:04
Speaker
And then someone else might say, but I think probably you're better just to go with organic food, organic meat, organic fish, organic vegetables. So, you know, which way are you going to go? Organic food, organic vegetables, or this new scientific engineered GMO, whatever it is, superfoods.
00:35:23
Speaker
Well, I'm going to say evolution points to, you know, first of all, we got here on that, right? So it's in the past, so it can't be wrong. Could this scientifically developed, you know, lab-based food be wrong? Absolutely, it could. We've got things wrong many, many times. I would say
00:35:42
Speaker
your safest bet is to go with how we got here. So that's why you'll find as we're going through the podcast a sort of general theme of looking back towards evolutionary principles and how we got here as a means of cutting a path through the complexity that's out there.
00:36:01
Speaker
I think that should be enough of an insight into what we're going to be going through. Really, the podcast is targeted to anyone interested in health. So some of the podcasts will go a little technical. So it will be perhaps slightly better for people with a health care professional background. But really, I don't think it's going to get too technical. If you understood what I was going on about today in this preview, then I think you'll be fine with most of the subject areas we're going to cover in the podcast.
00:36:30
Speaker
So really for anyone with an interest in health and performance, then that's what this is all about. And so, you know, I hope that what it will do is it help you to find simplicity in the complexity and to move from chaos to order. And I look forward to seeing you on the upcoming podcasts. Take care to them.