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Hello, ladies and gents Roberts.
Thanks, kiddo. 

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Service.com today. 
I've got special, repeat guests.

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Jim Howard back on the line. 
He is the head honcho at 

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biosense. 
They make a really impressive 

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little Ketone breath monitor 
that measures acetone I've been 

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playing around here for a while.
I've been using it been kind of 

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experimenting with it. 
He is incredibly knowledgeable 

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when it comes to how this device
can be used in a clinical 

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setting, how it can be 
dictating, what your actions 

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throughout the day are to 
improve your level of fat 

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oxidation and honestly just 
knows a lot. 

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What's going on in the space 
with And to measuring ketones 

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measuring glucose. 
And this is how to kind of hack 

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or measure these biometric so to
speak. 

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So without further Ado, sit back
relax and do the podcast with 

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Jim Howard 
and we are Live Jim. 

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How are you brother? 
Hey, good afternoon to you. 

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How you doing Robert? 
I'm good, man, I'm good it. 

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When was the last time we 
recorded the podcast on my show?

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Probably it's been over a year 
now, right? 

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I think it was more than two 
years ago. 

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It's like right, when right, 
when biosense was just being 

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kind of launching a pilot, maybe
right before our 8,000 9,000 

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person Pilots? 
Oh yeah. 

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Well, I've gots the biosense 
mean actually just used it in 

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preparation for this podcast, 
but mine still says sample on 

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the back of it. 
So I guess that must be one of 

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the OG ones, right? 
Oh my gosh. 

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So that it's been probably 
almost two and a half years. 

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He's fucking you need it. 
We need to get you in. 

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New one for sure. 
Is it pretty much the same 

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functionality that with the 
newer ones? 

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Yeah, yeah there's about twenty 
six iterations of monitoring 

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ketosis and the breath as it 
changes and that's that's the 

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key thing. 
So it's probably four times as 

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fast. 
It's the app has tons of 

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information in there to guide, 
you know, competitive athletes 

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or, you know, the soccer mom 
Community or whoever or clinics,

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you know, we have a big clinical
side of our business too. 

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But monitoring that level of 
ketosis, does it changes 

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throughout the day and then 
providing feedback? 

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Nice. 
Nice. 

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Well shoot man, I don't want to,
I don't want to, you know, beat 

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a dead horse. 
But everything that we talked 

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about in the last podcast you 
know, people can certainly 

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listen to that one but it 
probably would be worthwhile 

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since so much has changed in 
those two and a half years. 

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Can you kind of give the 
listeners a little bit of 

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background into what this 
biosense monitor is? 

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And kind of what's changed, and 
what are you excited about going

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forward with it? 
Yeah, yeah. 

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So we came out of the gate as 
the only clinical-grade device 

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that measures breath breath is 
really tricky as a as a You 

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know, modality to measure Ketone
levels as they change and, you 

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know, in weight loss, every 
single program tries to put you 

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into some level of fat oxidation
or ketosis, we call that. 

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So to do that, you prick, your 
finger a lot or you, you know, 

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you breathe into a device and 
those of those have been faulty 

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in the past because they don't 
measure the right part of your 

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breath. 
We just measure the last two 

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cc's of your breath, that's our 
patent. 

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And that's called fractionating 
breath at a very high-level 

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scientific level. 
So, the key thing is that we 

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just measure the right part, and
then, But it's done multiple 

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times per day. 
So the key things that have 

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changed as we are very 
technically focused on just a 

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device. 
Hey, here's your measurement. 

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The things that changes the 
behavior modification, or the 

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knowledge of multiple 
measurements per day. 

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Is this ketosis dosing kind of 
phenomenon, that's pretty pretty

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hot right now in the clinical 
side and we get to talk about 

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that in a second but it's 
knowing exactly what happens 

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throughout the day and getting 
feedback. 

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When that happens, be it running
or be. 

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A it working out or be it you 
know nutritional interventions 

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that you're taking or fasting, 
fasting is probably the biggest 

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change that having all this 
fasting functionality and then 

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knowing what happens your body. 
So we just had kind of hardware 

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for that. 
Now it's how do you wrap around 

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these? 
These programs and that's what 

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people really wanted is in 
sight. 

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So hey, I'm doing a, I'm doing a
fat, here's a good example right

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here. 
I used to do a 72-hour fast once

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a month, okay, for my own 
personal reasons and 

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anti-inflammatory and other 
things. 

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Now, I just, I need to do 24 
hours above 15 on our device. 15

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is is pretty moderate level of 
ketosis. 

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Mean, that's where some of the 
autophagy, Eric, you know, 

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cellular regeneration stuff 
kicks in major anti-inflammatory

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benefits, you know, I lose 
weight if I want to but I don't 

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I try not to. 
So all these things is like it 

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leads to one thing as this 
dosing of ketosis, how deep and 

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how long not not where you are. 
Once a day, just Checking it out

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because that's a false negative 
or false positives. 

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Like, where am I going? 
How does my body react? 

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That's it. 
So like, there's like when 

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people think of testing ketones,
testing glucose testing, 

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anything where they've got, you 
know, with regard to ketones, 

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you get your three primary 
metrics. 

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You've got your acetone which is
the breath. 

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You got your seat OS to take in 
the year and you get your 

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beta-hydroxybutyrate in the 
blood. 

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Most people tend to, you know, 
start with the urine strips 

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because they're cheap, they're 
easily accessible. 

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They get them at Walgreens CVS. 
Sediment after about a week or 

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two have been in ketosis your 
body becomes efficient at using 

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the ketones, your excreting less
of him and you wind up not even 

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registering on those strips. 
So most people, then turn to the

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blood metrics for the 
beta-hydroxybutyrate, what are 

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some key differences between 
what you're actually learning 

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from those blood Ketone readings
versus what you're learning from

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those breath Ketone 
measurements? 

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Yeah, yeah, that's a great 
point. 

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So, you know, scientifically the
way to check Like 

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beta-hydroxybutyrate is through 
a venous draw a capillary draws,

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good but that's not the gold 
standard just so you got to let 

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me preface that. 
Is that trials have shown it's 

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about it can be as much as 20 
percent off and then you'll see 

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that like in the packaging and 
websites of those capillary 

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devices at home, they'll say up 
to 20% off. 

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Hmm. 
So you got to take it with a 

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grain of salt. 
It is a that is a storage key 

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tongue. 
Okay. 

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Meaning you're someone like you 
and I that are pretty darn cute.

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Oh, I do Didn't, you know, 
people like Peter, Atiya and Dom

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D'Agostino's. 
They're going to store and you 

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see them in their measurements 
with biosense and Beach be, 

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you're going to store less and 
less Beach be over time. 

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You just don't need to store as 
much to convert into what is 

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metabolized that is co acetate. 
So a COS it's was metabolized by

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our mitochondria and then and 
then as it's expelled in the 

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body through breath, that is 
acetone. 

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So acetone into cos take go 
really hand-in-hand, super 

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tight. 
We're Beach. 

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Be is a storage that converts 
into something else, a different

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type of Ketone and that's that's
where things are. 

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So but ketones in general are 
signaling, they're signaling. 

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So it's not just hey, I don't 
have as much glucose and I'm 

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burning fat for my fuel. 
There's a signaling ability in 

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ketones in your blood and 
ultimately then in your breath 

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or & Co acetate, is also in your
blood to. 

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That signaling is really really 
critical. 

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And we've seen kind of the Our 
of that. 

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And a lot of the clinical trials
that were involved in, which may

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not be a concern to Consumers, 
but it's really, really 

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interesting. 
And all of these chronic 

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diseases that we can talk about 
in the future and a lot of 

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people. 
So like I've done all kinds of 

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little experiments, you know, 
with my competition preps and 

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whatnot. 
I try to monitor my glucose 

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Ketone levels to add all the 
just just so I can kind of see 

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how things are correlated and 
tracking and a lot of people 

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will notice a like a pretty 
significant increase. 

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Kris in beta-hydroxybutyrate 
numbers with a large bolus in 

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dietary fat, especially if it's 
something like a like a name, CT

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oil, or, you know, coconut oil 
or something like that. 

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That's going to have a hide 
lauric acid content, and likely 

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convert to MCT with something 
like that. 

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That's not really going to show 
so much in the breath acetone 

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reading, correct? 
It does, no, it does. 

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So we yeah. 
So even even Exotics ketones. 

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I mean, all this companies send 
those exactness ketones to us. 

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The difference is that whereas 
MCT or exogenous ketones Esters 

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are salts thing. 
You'll kind of get that big bump

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within 30 minutes and then 
you're back out of your back, to

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your normal range in about an 
hour, right? 

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And that's, that's, that's 
pretty similar in most of these 

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types of thing, they MCTS 
probably little slower, but with

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biosense the device that's 
measuring. 

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What is actually, you know, 
member that conversion, even a 

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BHB Esther, for example, will 
have to convert Hurt to see do a

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state and then it, then it comes
out as acetone. 

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So that actual activity that, 
you know, the, the mitochondria 

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metabolizing that that takes a 
while longer. 

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And, and so you'll see that your
Peak could be in two or three 

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hours, and it might last, you 
know, that wave entire wave last

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five or six hours. 
That's what we see on, average 

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here of the Baseline of like, no
Ketone levels. 

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And someone sends us these, you 
know, these exact words How do 

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we test that? 
Usually, it's kind of you get to

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this low level of ketosis. 
You maintain that for a few 

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hours and then you start to fade
out. 

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So it's much much much slower, 
which is probably a better 

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indicator, you know, probably 
better indicator of How It's 

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metabolized. 
Okay. 

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There's definitely a correlation
is just kind of a delayed. 

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Yeah, exactly, exactly. 
Yeah, and thing about ketones 

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is, you know, where is glucose 
goes up and down, boom, boom, 

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boom, all day. 
You know, if you do more than 

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probably five or six Ketone 
measurements in a day, You're 

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going to get the same kind of 
curve, it just doesn't change 

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that that fast and on the flip 
side, if you do one measurement 

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a day, you're going to probably 
get a false - false positive, 

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right? 
So your curve is you know, your 

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ideal, he's like three to five 
measurements day if you really 

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want to know biofeedback and 
close that feedback loop on what

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you're doing, okay? 
If you just want a snapshot of, 

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you know, prick your finger or 
use bioscience get a snapshot of

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last few hours. 
I don't know how you know how 

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important that would be to some 
What are what are some 

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actionable takeaways like if 
someone's using biosense meter 

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or any of these breathalyzer M, 
like, what are some action we 

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take those out? 
What are people going to get the

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most benefit from using them for
like if they've got a specific 

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goal in mind? 
What are what are they needed to

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see on that monitor? 
And what are they going to need 

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to adjust with their day-to-day 
actions based off of what 

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they're seeing? 
Yeah, that's great. 

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So here we give you two 
examples. 

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One is just nutritional ketosis 
and one would be like in 

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fasting. 
So let's just say, aye, Show 

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like myself. 
I want to you know, I want to 

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lose a little bit. 
Wait for example and you know 

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have inflammatory benefits, all 
those things like that. 

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So typical ketosis benefits is I
want to be able to start to 

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experiment and say, you know, in
the morning, I wake up, this is 

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what I eat and I think I'm going
on this path of being in this 

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state of burning fat as my fuel.
I think I'm there, okay? 

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I don't want to know if I am 
because quite frankly, this is 

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limited in Valley. 
That's Like will illumine device

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would do. 
That's a breath. 

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Device can tell you, it gives 
you a proxy of are you burning 

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fat? 
Are you burning fuel? 

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That doesn't really help 
anybody. 

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What you really want to know is,
hey, I'm eating this food and 

226
00:11:16,400 --> 00:11:21,000
it's it's it's not impacting my 
Ketone levels or I met Dan 

227
00:11:21,000 --> 00:11:23,800
Aikido brick, for example, in 
which I love. 

228
00:11:24,200 --> 00:11:27,000
You know, these are the things 
that I do and this is what my 

229
00:11:27,000 --> 00:11:32,800
specific level of fat burn is or
fat oxidation or ketosis, it's 

230
00:11:32,800 --> 00:11:35,700
all the same thing. 
So, you know exactly how to 

231
00:11:35,700 --> 00:11:39,100
tweak that behavior at a 
personalized level. 

232
00:11:39,200 --> 00:11:41,800
Okay. 
So it's not knowing, you know, 

233
00:11:42,100 --> 00:11:44,600
knowing if you're in ketosis is 
about as value because knowing 

234
00:11:44,600 --> 00:11:47,500
if you have a fever you kind of 
want to know what that is and 

235
00:11:47,500 --> 00:11:49,900
how that changes throughout the 
day, same thing, same thing. 

236
00:11:49,900 --> 00:11:52,300
With ketosis. 
You run you worked out. 

237
00:11:52,300 --> 00:11:54,000
What is it going to do? 
And it's going to be different 

238
00:11:54,000 --> 00:11:56,500
for everybody, you know, it is 
different for everybody. 

239
00:11:56,500 --> 00:12:01,300
We start to personalize that and
give that feedback to say, hey, 

240
00:12:01,500 --> 00:12:06,900
by the way, you may not need to 
too fast for 72 hours to get the

241
00:12:06,900 --> 00:12:09,800
same benefit. 
You may need only just do 40 

242
00:12:10,300 --> 00:12:15,600
where takes Roberts, 72 to get 
that same benefit of, like high 

243
00:12:15,600 --> 00:12:19,100
levels of ketosis for a certain 
amount of time. 

244
00:12:19,100 --> 00:12:22,100
So time, it's kind of like time 
in range a little bit with 

245
00:12:22,100 --> 00:12:23,500
glucose. 
Gotcha. 

246
00:12:23,600 --> 00:12:25,100
Gotcha. 
As you mentioned working out and

247
00:12:25,100 --> 00:12:27,200
training. 
So when I've done, like I've 

248
00:12:27,200 --> 00:12:30,000
wanted to see James in the past.
And what I noticed is all pretty

249
00:12:30,000 --> 00:12:33,500
pronounced spike in blood sugar 
intra training and then 

250
00:12:33,500 --> 00:12:36,600
immediately Afterwards and a 
corresponding drop in blood 

251
00:12:36,600 --> 00:12:38,100
ketones. 
I'm assuming that's just from 

252
00:12:38,200 --> 00:12:40,000
mobilizing the the muscle 
glycogen. 

253
00:12:40,000 --> 00:12:42,000
Yeah. 
What's happening with the breath

254
00:12:42,000 --> 00:12:43,200
ketones? 
During that time, I haven't 

255
00:12:43,200 --> 00:12:45,100
really tested around workouts as
it. 

256
00:12:45,100 --> 00:12:48,900
Is it going to have a similar, 
you know, Bell Crown now because

257
00:12:48,900 --> 00:12:51,400
keep in mind, what is that? 
What is that beach be doing? 

258
00:12:51,400 --> 00:12:54,500
The BHP is converting into 
something that can be used. 

259
00:12:54,500 --> 00:12:58,100
So you're actually when you work
out you're probably going to see

260
00:12:58,100 --> 00:13:02,200
a decrease in Ketone level. 
So be aware of that you know, 

261
00:13:02,200 --> 00:13:06,500
decreasing Ketone levels when in
all All actuality you're 

262
00:13:06,500 --> 00:13:09,300
actually using more, you know, 
depending on where you are in 

263
00:13:09,300 --> 00:13:12,800
your levels of fat oxidation, I 
mean, you're going to be using 

264
00:13:12,800 --> 00:13:15,300
that. 
So A Better reflection of that 

265
00:13:15,300 --> 00:13:19,500
arguably is acetoacetate or 
acetone because we're not 

266
00:13:19,500 --> 00:13:21,400
worried about what's being 
converted into something that's 

267
00:13:21,400 --> 00:13:23,100
being used. 
We're talking about what's being

268
00:13:23,100 --> 00:13:26,300
used. 
Okay, two very different things.

269
00:13:26,300 --> 00:13:29,800
Conversion of storage Beach. 
Be into what's being used and 

270
00:13:29,800 --> 00:13:31,900
that's where biosense measures 
that. 

271
00:13:31,900 --> 00:13:35,300
So biosense measurements. 
Like you would think Ketone 

272
00:13:35,300 --> 00:13:40,500
levels will increase during a 
workout and beats be tends to 

273
00:13:40,500 --> 00:13:44,800
decrease in a workout. 
They will converge over time. 

274
00:13:45,400 --> 00:13:48,000
OKC, do acetate. 
Logically would probably 

275
00:13:48,000 --> 00:13:50,200
increase like acetone. 
So that's the key thing now 

276
00:13:50,200 --> 00:13:53,400
glucose, you know depending on 
what your your glucose levels 

277
00:13:53,400 --> 00:13:55,600
are obviously you know, that's a
different story. 

278
00:13:56,100 --> 00:13:58,000
Yeah. 
That was my assumption that mean

279
00:13:58,000 --> 00:14:00,700
that made sense in my mind but I
haven't really tested around it 

280
00:14:00,700 --> 00:14:04,200
so that I'm glad you clarified. 
I haven't done much to Extended 

281
00:14:04,200 --> 00:14:07,900
fasting I've done, you know, 
like to Extended fast one last 

282
00:14:07,900 --> 00:14:11,200
was like five and a half days 
but I didn't have I don't think 

283
00:14:11,200 --> 00:14:13,900
I was using the bow since M 
then. 

284
00:14:14,100 --> 00:14:16,600
But I was getting some crazy 
extremes on the Ketone and 

285
00:14:16,600 --> 00:14:18,500
glucose from. 
Like I was getting, I don't 

286
00:14:18,500 --> 00:14:22,500
know, I think 33 blood glucose 
milligrams per deciliter and I 

287
00:14:22,508 --> 00:14:24,800
think my ketones were up around 
7:00 or something like that. 

288
00:14:24,800 --> 00:14:28,200
So I'd be curious to see what 
the ace score was on the Bayou. 

289
00:14:28,200 --> 00:14:30,900
CM. 
Yeah, yes you would be. 

290
00:14:30,900 --> 00:14:34,100
And you know foremost, here's 
just an average the This 

291
00:14:34,100 --> 00:14:37,500
measurement is a level of is a 
derivative of parts per million 

292
00:14:37,500 --> 00:14:43,100
of acetone the Ketone. 
But it's goes it's a zero to 40.

293
00:14:43,100 --> 00:14:45,000
So it's very, very very 
specific. 

294
00:14:45,000 --> 00:14:48,200
So you probably would top it and
a five day you'd probably top it

295
00:14:48,200 --> 00:14:49,000
out. 
Probably. 

296
00:14:49,200 --> 00:14:54,200
Okay, and it's usually about 10 
on average, 10 to 12, capillary 

297
00:14:54,200 --> 00:14:57,400
measurement. 
So 1 millimolar is roughly the 

298
00:14:57,400 --> 00:14:59,700
equivalent, but you don't want 
to compare these their apples. 

299
00:14:59,700 --> 00:15:01,500
Don't wonder they're different 
Ketone bodies, right? 

300
00:15:01,500 --> 00:15:04,000
Yeah. 
So really we should be Be 

301
00:15:04,000 --> 00:15:09,400
measured against acetone tanks, 
or Venus draw BHP, and not 

302
00:15:09,400 --> 00:15:12,100
really a capillary measurement. 
So although it's a good proxy, 

303
00:15:12,700 --> 00:15:16,000
the biases M, it just measures. 
Hi. 

304
00:15:16,000 --> 00:15:18,100
Once you once you top it a, try 
like that. 

305
00:15:18,100 --> 00:15:20,200
Is that what the current display
that shown? 

306
00:15:20,600 --> 00:15:21,300
Yeah. 
Yeah. 

307
00:15:21,300 --> 00:15:22,500
So same thing. 
Same display. 

308
00:15:22,500 --> 00:15:27,000
It's like when you get over 40 
Aces, which is the equivalent of

309
00:15:27,000 --> 00:15:32,000
you November 20 to 40. 
So I'd be the clone of a most 

310
00:15:32,000 --> 00:15:34,600
people of about 4. 
Mahler. 

311
00:15:34,700 --> 00:15:38,000
Okay, for millimolar. 
And and the example you just 

312
00:15:38,000 --> 00:15:39,900
gave you a really, really really
high. 

313
00:15:40,100 --> 00:15:42,600
Yeah. 
Yeah I mean you're in a really 

314
00:15:42,600 --> 00:15:45,500
significant out of pejic state. 
I mean you're doing some 

315
00:15:45,500 --> 00:15:48,500
seriously serious cellular clean
up there. 

316
00:15:48,800 --> 00:15:50,700
Yeah, I don't, I don't do that 
often. 

317
00:15:50,700 --> 00:15:54,100
Like I think one, I think one 
people won't want to stick. 

318
00:15:54,100 --> 00:15:57,100
I see a lot of people making 
these days is, they'll do 

319
00:15:57,100 --> 00:15:59,100
extended fasting far too 
frequently. 

320
00:15:59,900 --> 00:16:03,000
Also the context of just simply 
being in a caloric deficit, and 

321
00:16:03,000 --> 00:16:06,000
if you're doing Both, you know 
caloric restriction for fat loss

322
00:16:06,000 --> 00:16:08,100
purposes and you're also doing 
extended fasting effect. 

323
00:16:08,100 --> 00:16:10,200
That's just too many stressors 
on the body. 

324
00:16:10,200 --> 00:16:13,900
But if I'm going to really, you 
know, significant caloric 

325
00:16:13,900 --> 00:16:17,100
Surplus, like I am right now. 
All oftentimes throw-in, you 

326
00:16:17,100 --> 00:16:20,600
know, an extended fast on a 
quarterly or you know, and yeah,

327
00:16:20,600 --> 00:16:22,200
yeah, yeah. 
There you go clean down the 

328
00:16:22,200 --> 00:16:23,800
context of being in that 
Surplus. 

329
00:16:24,600 --> 00:16:27,700
Yeah, exactly exactly. 
So and then you know, the 

330
00:16:27,700 --> 00:16:30,700
fascinating thing is that it all
depends on your Baseline to so 

331
00:16:30,700 --> 00:16:33,400
your success like do you need to
do a five-day fast? 

332
00:16:33,400 --> 00:16:37,700
Well guess If you're coming from
a carb restrictive, Baseline and

333
00:16:37,700 --> 00:16:43,000
your and you go for a pretty 
significant run or bike ride, it

334
00:16:43,000 --> 00:16:46,100
remove your blockage in stores. 
You're going to be really fast 

335
00:16:46,100 --> 00:16:49,300
to get to your target a level. 
So you, it really is like it's 

336
00:16:49,300 --> 00:16:52,000
all about your time in the range
of repair. 

337
00:16:52,400 --> 00:16:56,300
And for me, I seek I want 24 
hours above 15. 

338
00:16:56,500 --> 00:16:57,800
Yeah. 
And it used to be used to take 

339
00:16:57,800 --> 00:17:00,300
me 72 hours and it takes me 
about 50 to 55. 

340
00:17:00,300 --> 00:17:03,700
So I'm getting more efficient at
doing the same job. 

341
00:17:03,800 --> 00:17:05,700
Job. 
But again, that's that feedback 

342
00:17:05,700 --> 00:17:09,200
loop is closed and I just didn't
have that information before. 

343
00:17:09,200 --> 00:17:11,500
So I can do a lot of different 
things and that's the cool thing

344
00:17:11,500 --> 00:17:14,599
about all, these clinical trials
that were mullet is it, we 

345
00:17:14,599 --> 00:17:17,300
enable some of these researchers
to do this. 

346
00:17:17,300 --> 00:17:20,200
You know, we have an infertility
study we have in Europe, we 

347
00:17:20,200 --> 00:17:24,900
have, you know, obviously 
ongoing Alzheimer's studies 

348
00:17:24,900 --> 00:17:27,200
going on. 
We have three here at Washington

349
00:17:27,200 --> 00:17:29,900
University in St. 
Louis ranging from type 1. 

350
00:17:29,900 --> 00:17:33,300
Diabetes to compare two diets to
pancreatic cancer. 

351
00:17:33,900 --> 00:17:37,900
Goes on and on and on not, is 
that people want to close this 

352
00:17:37,900 --> 00:17:42,300
Loop and understand what is my 
death, and my width of this 

353
00:17:42,300 --> 00:17:47,100
magical medicine, called fat 
oxidation or ketosis, but it's 

354
00:17:47,100 --> 00:17:50,100
been the wild west thus far, and
we're trying to put some 

355
00:17:50,100 --> 00:17:52,300
structure around it to help 
people make sense. 

356
00:17:52,300 --> 00:17:56,400
But from a clinical setting, 
have you noticed they're being a

357
00:17:56,400 --> 00:18:00,600
significant difference between 
reaching those levels via 

358
00:18:01,000 --> 00:18:03,700
endogenous production of ketones
versus you know, exile. 

359
00:18:03,800 --> 00:18:07,600
And supplementation. 
It's very rare that we have seen

360
00:18:07,600 --> 00:18:09,500
that doesn't mean it's not 
happening because I know there 

361
00:18:09,500 --> 00:18:12,600
is some studies like in Canada, 
but we don't see a lot of 

362
00:18:12,600 --> 00:18:16,900
exemptions Ketone activity and 
clinical trials, okay? 

363
00:18:17,300 --> 00:18:21,900
And the reason being is that 
from a triggering mechanism, I 

364
00:18:21,900 --> 00:18:24,400
just don't think there's a lot 
of data out there. 

365
00:18:24,400 --> 00:18:28,500
Now, in the athletic performance
side, you certainly there's some

366
00:18:28,500 --> 00:18:30,900
pretty good data on exotic 
Mesquite owns, you know, for a 

367
00:18:30,908 --> 00:18:35,100
race or, you know, mental 
clarity For it, you know, if 

368
00:18:35,300 --> 00:18:38,000
they are even TBI. 
For example, TBI is a really 

369
00:18:38,000 --> 00:18:41,500
good example, of where exogenous
ketones come in, you're going on

370
00:18:41,500 --> 00:18:45,300
a jump out of a plane, get 
checked up on exogenous ketones,

371
00:18:45,300 --> 00:18:48,400
very quickly for brain recovery 
and things like that. 

372
00:18:48,400 --> 00:18:50,600
So, so I think that there's a 
lot of value there, but not in 

373
00:18:50,600 --> 00:18:53,500
the typical chronic disease, 
management or prevention 

374
00:18:53,500 --> 00:18:56,000
reversal. 
More likely reversal side, not 

375
00:18:56,000 --> 00:18:58,800
not so much, doesn't mean that 
they're, it doesn't work. 

376
00:18:58,800 --> 00:19:00,900
There's just such little 
research on that. 

377
00:19:01,200 --> 00:19:02,700
Yeah, I've been kind of playing 
around with. 

378
00:19:02,700 --> 00:19:04,900
I mean, companies have been sent
me all these exotic just ketones

379
00:19:04,900 --> 00:19:07,000
lately. 
So I've just been, you know, 

380
00:19:07,000 --> 00:19:08,900
using them for various 
developments. 

381
00:19:08,900 --> 00:19:11,400
Yeah. 
But I like them for like I can 

382
00:19:11,400 --> 00:19:17,800
confidently say that I love the 
the Esters I think the Ketone IQ

383
00:19:18,100 --> 00:19:21,300
H VM in brand, they sent me a 
bunch and I've been using them 

384
00:19:21,300 --> 00:19:25,600
before podcast and I feel like 
having, you know, 30, I think 

385
00:19:25,600 --> 00:19:27,500
it's in males is what it's do 
stat. 

386
00:19:27,700 --> 00:19:30,800
You know, about 15-20 minutes 
prior to a podcast, I just feel 

387
00:19:31,000 --> 00:19:34,200
noticeably sharper. 
Yeah and that makes sense. 

388
00:19:34,200 --> 00:19:36,900
So there is research for that 
those like what is that 

389
00:19:36,900 --> 00:19:39,900
immediate impact out there for 
something like that but it's not

390
00:19:39,900 --> 00:19:41,800
going to do anything. 
I don't think of this isn't a 

391
00:19:41,808 --> 00:19:44,100
research on this about the 
impact of chronic disease, and 

392
00:19:44,100 --> 00:19:45,500
that's where we kind of play a 
little bit better. 

393
00:19:45,500 --> 00:19:49,500
So I think you're right about. 
This is like, and it could last 

394
00:19:49,500 --> 00:19:51,600
longer too. 
Like you have that and be cool 

395
00:19:51,600 --> 00:19:54,700
to test out with biosensors. 
See, how long does that last? 

396
00:19:54,700 --> 00:19:57,900
Your Baseline is pretty, low 
carb, is it is, I think Robert, 

397
00:19:57,900 --> 00:19:59,400
right? 
I mean, most of the time, your? 

398
00:19:59,500 --> 00:20:01,500
Yeah, I can't tell you. 
I mean, the last time I had a 

399
00:20:01,500 --> 00:20:04,400
actual carbohydrate-based, Was 
seven plus years ago? 

400
00:20:04,900 --> 00:20:09,100
Okay, there, yes. 
So you know you that's where 

401
00:20:09,100 --> 00:20:11,900
it's really interesting. 
I here in our office we studied 

402
00:20:11,900 --> 00:20:15,100
some of these exemptions ketones
and there was that us of us that

403
00:20:15,100 --> 00:20:19,000
have a high Baseline of ketosis.
It doesn't have nearly as much 

404
00:20:19,000 --> 00:20:23,500
of an impact as those that have 
no Baseline, you know, which is 

405
00:20:23,500 --> 00:20:26,500
a different study, developing 
itself would be pretty 

406
00:20:26,500 --> 00:20:27,700
interesting to see the 
difference. 

407
00:20:27,700 --> 00:20:30,100
But, but yeah, yeah, that's 
quite I use it to. 

408
00:20:30,100 --> 00:20:32,400
I mean, that's the one time I 
use this for mental Clarity of, 

409
00:20:32,400 --> 00:20:35,900
like, If I have really really 
really important meetings and it

410
00:20:35,908 --> 00:20:38,600
might be in the morning. 
I I'll I'll throw down an 

411
00:20:38,600 --> 00:20:41,300
exaggerated ski time for sure. 
I've heard of people having 

412
00:20:41,300 --> 00:20:44,000
success with it for sleep. 
Like they'll take it you know 30

413
00:20:44,000 --> 00:20:46,300
minutes before going to sleep 
and I've I've kind of played 

414
00:20:46,300 --> 00:20:48,400
around that a little bit. 
But honestly right now I mean 

415
00:20:48,400 --> 00:20:51,400
with me having a brand-new baby,
any any experiments I'm done 

416
00:20:51,400 --> 00:20:53,700
with sleep or totally skewed. 
So there's not really any point 

417
00:20:53,700 --> 00:20:57,600
in testing and I I didn't, I 
don't find it. 

418
00:20:57,600 --> 00:21:00,000
Yeah, I tried that on sleep too 
and I did not. 

419
00:21:00,000 --> 00:21:01,600
I don't see any value there, 
too. 

420
00:21:01,600 --> 00:21:02,800
But I can't, you know, you never
know. 

421
00:21:03,100 --> 00:21:08,200
The problem with this whole 
Ketone ketosis Marketplace is 

422
00:21:08,200 --> 00:21:11,300
that it? 
We're talking about a biomarker.

423
00:21:11,300 --> 00:21:15,000
Yeah, the biomarker changes 
throughout the day and no one's 

424
00:21:15,000 --> 00:21:17,800
really been wired into that as 
like I got it. 

425
00:21:17,900 --> 00:21:20,900
I gotta figure out my full day, 
you know, I mean a single 

426
00:21:20,900 --> 00:21:22,600
measurement. 
It is still 50% off and 

427
00:21:22,600 --> 00:21:25,100
time-weighted average. 
Why would anybody do a single 

428
00:21:25,100 --> 00:21:29,400
measurement? 
So the key thing is just like 

429
00:21:29,400 --> 00:21:31,500
glucose you can check your 
glucose and if it's not you're 

430
00:21:31,500 --> 00:21:33,900
fasting glucose. 
It's It's kind of well, what did

431
00:21:33,900 --> 00:21:36,900
you eat the last 20 minutes? 
San Diego. 

432
00:21:36,900 --> 00:21:38,500
He'd been. 
So you want to kind of start to 

433
00:21:38,500 --> 00:21:42,600
to tell the story and his story 
is it goes up and down and how 

434
00:21:42,600 --> 00:21:46,200
deep am I in it? 
And and then make sure you have 

435
00:21:46,200 --> 00:21:48,500
the right device to support it. 
So if you're pricking your 

436
00:21:48,500 --> 00:21:51,400
finger just you know 
recommendation 3 times a day 

437
00:21:51,600 --> 00:21:54,300
yeah master key to Mojo would 
love to hear that for their 

438
00:21:54,300 --> 00:21:56,100
sales. 
But I mean this reality of it 

439
00:21:56,100 --> 00:21:59,300
you need to do it multiple times
per day to really have that ya 

440
00:21:59,400 --> 00:22:01,900
know make sense man. 
How often are you typically 

441
00:22:02,100 --> 00:22:03,200
using the mouse? 
M. 

442
00:22:03,800 --> 00:22:09,000
Yeah, so I do I'm more of a I've
gotten to the point where I used

443
00:22:09,000 --> 00:22:12,700
it for a year. 
Really making sure that my 

444
00:22:12,700 --> 00:22:16,600
protocol would I do what I all 
these family obligations Bubba, 

445
00:22:17,100 --> 00:22:20,700
that I can, I'm kind of at the 
four to six level like really 

446
00:22:20,700 --> 00:22:23,500
close to N and then out kind of 
cycling in and out type of think

447
00:22:23,500 --> 00:22:28,500
that's my and then once a month 
I I do a three-day ish fast but 

448
00:22:28,508 --> 00:22:31,100
I'm getting more efficient at it
just based on numbers and then 

449
00:22:31,900 --> 00:22:34,100
and then I'll do like A 24-hour 
fast once a week. 

450
00:22:34,100 --> 00:22:38,000
So I use it for fasting 
primarily or if I'm trying like 

451
00:22:38,000 --> 00:22:40,800
new foods, you know, like new 
protocol type of thing, any 

452
00:22:40,800 --> 00:22:44,000
change, I'll monitor just to 
make sure that it's not having 

453
00:22:44,000 --> 00:22:46,600
an impact. 
I do a lot of sleep hacking 

454
00:22:46,600 --> 00:22:51,000
meaning like I'm monitoring 
sleep impact so there's a lot of

455
00:22:51,000 --> 00:22:53,200
things that I'll test it with. 
But yeah. 

456
00:22:53,200 --> 00:22:56,700
So I would say use a probably on
average three out of five days 

457
00:22:56,700 --> 00:22:59,300
in this initially every day 
three times a day or five times 

458
00:22:59,300 --> 00:23:02,000
a day somewhere in there and 
then fast fasting. 

459
00:23:02,000 --> 00:23:05,200
I will say this Listen, I use it
probably every two hours. 

460
00:23:05,500 --> 00:23:09,300
Yeah and I would imagine there's
a lot less flux with the 

461
00:23:09,300 --> 00:23:13,700
biosciences opposed to like a 
blood test with things like you 

462
00:23:13,700 --> 00:23:16,800
know the Don phenomenon waking 
up in the morning. 

463
00:23:16,800 --> 00:23:18,300
Yeah. 
Like it's just probably going to

464
00:23:18,300 --> 00:23:20,400
be less, you know, variance in 
that. 

465
00:23:20,400 --> 00:23:23,000
I would imagine. 
Yeah I mean I don't know if 

466
00:23:23,008 --> 00:23:25,900
we've done add-on effect where 
you know your body's release 

467
00:23:26,000 --> 00:23:27,900
glucose and ketones could go 
down things like that. 

468
00:23:27,900 --> 00:23:30,500
You're just not, I don't think 
there's been extensive studies 

469
00:23:30,500 --> 00:23:32,500
on that with biosense but you're
right. 

470
00:23:32,500 --> 00:23:35,000
It is That I think the 
variability were really 

471
00:23:35,000 --> 00:23:40,100
addresses, is in working out, 
you know, like having a storage 

472
00:23:40,100 --> 00:23:43,800
Ketone convert, that's a full 
step that we avoid. 

473
00:23:44,200 --> 00:23:47,600
You know, it's like Cito acetate
is used and this is how comes 

474
00:23:47,600 --> 00:23:50,000
out of the body and its expelled
that way. 

475
00:23:50,000 --> 00:23:53,300
So it's a little more real time.
This is what's happening to you.

476
00:23:53,300 --> 00:23:57,300
So, that's the key thing. 
I mean, you know, it's pretty 

477
00:23:57,300 --> 00:24:01,300
broad measurement, range, 0 to 
40 and contender in ketosis is 

478
00:24:01,300 --> 00:24:03,400
just 5, right? 
25. 

479
00:24:03,400 --> 00:24:07,400
So there's a lot of room to go 
north of there and you know 

480
00:24:07,400 --> 00:24:10,200
patients with epilepsy live, 
pretty high in that scale. 

481
00:24:10,600 --> 00:24:13,400
Hmm. 
Whereas people in low levels of 

482
00:24:13,408 --> 00:24:15,600
ketosis, still are getting your 
fat burn for weight loss. 

483
00:24:15,600 --> 00:24:18,600
And you know, some of these 
patients, gosh, man. 

484
00:24:18,600 --> 00:24:21,800
There they gamify it and are up 
there in the 20s 30s. 

485
00:24:21,800 --> 00:24:25,900
I think, I mean, I just tested 
about two hours before this: I 

486
00:24:25,900 --> 00:24:28,300
was at 23, okay? 
Wow. 

487
00:24:28,500 --> 00:24:32,700
And I feel like whenever I'm 
testing so much of it depends. 

488
00:24:32,700 --> 00:24:35,200
Ends on whether I'm in a caloric
Surplus or deficit, like what 

489
00:24:35,200 --> 00:24:39,300
I'm going to cut for a prep, all
of my numbers are just much much

490
00:24:39,300 --> 00:24:42,000
higher at Baseline than when 
they're in when I'm in a surplus

491
00:24:42,000 --> 00:24:44,100
like my ketones are higher. 
My glucose is lower like 

492
00:24:44,100 --> 00:24:47,000
everything's just more extreme 
when I met a cut but when you're

493
00:24:47,000 --> 00:24:50,500
in a surplus least when I've 
found is that they're just a lot

494
00:24:50,500 --> 00:24:53,200
more of a buffer there like 
you've got your taking in so 

495
00:24:53,200 --> 00:24:57,200
much of an excess that your body
is is not really operating on 

496
00:24:57,200 --> 00:24:59,700
the extremes from a biofeedback 
standpoint. 

497
00:25:00,000 --> 00:25:02,600
Yeah, yeah, exactly. 
So that's that's the key thing. 

498
00:25:03,300 --> 00:25:05,800
It's all about one thing. 
Connecting. 

499
00:25:05,800 --> 00:25:09,300
The dots. 
You do something, you feedback 

500
00:25:09,400 --> 00:25:11,600
and then you tweak it, right? 
Yeah. 

501
00:25:11,600 --> 00:25:16,600
That's that's what it's all. 
Chronic disease, prep for 

502
00:25:16,700 --> 00:25:21,600
competitions, you know, typical 
guy trying to lose a beer belly.

503
00:25:21,600 --> 00:25:24,600
All of these come back to. 
I got to have feedback and what 

504
00:25:24,600 --> 00:25:26,300
the heck I'm doing. 
And I need to have that more 

505
00:25:26,300 --> 00:25:29,300
than once a day because my body 
changes more than once a day and

506
00:25:29,300 --> 00:25:31,500
only. 
Yeah, that's the key thing. 

507
00:25:31,500 --> 00:25:34,900
Have you ever known of any He 
studies done with the bounces 

508
00:25:34,900 --> 00:25:37,200
Peter and maybe they're not 
black official studies but just 

509
00:25:37,200 --> 00:25:39,300
kind of like what you 
experienced in notice with what 

510
00:25:39,300 --> 00:25:43,100
people are using them that you 
know people with varying degrees

511
00:25:43,100 --> 00:25:45,700
of feta Temptation. 
Like right now you know 

512
00:25:45,700 --> 00:25:48,200
metabolic flexibility is one of 
the hot topics and everybody's 

513
00:25:48,200 --> 00:25:51,200
trying to do not know bounce 
back and forth between ketogenic

514
00:25:51,200 --> 00:25:53,900
diet and eating, you know, being
able to justify their carbs on 

515
00:25:53,900 --> 00:25:56,600
the weekends and stuff and I'm 
just kind of curious this 

516
00:25:56,600 --> 00:26:01,800
connect the dots on that and see
if that is causing any lack of 

517
00:26:01,900 --> 00:26:03,600
true fat. 
Patient basically. 

518
00:26:04,100 --> 00:26:07,800
Yeah, I know, we haven't, we 
haven't analysis in allies data 

519
00:26:07,800 --> 00:26:09,400
on that know. 
I don't know if you have enough 

520
00:26:09,400 --> 00:26:12,100
of that to know exactly what 
someone's behavior is until they

521
00:26:12,100 --> 00:26:14,400
start logging and we will have 
all that capability of like 

522
00:26:14,400 --> 00:26:17,600
putting exactly what someone 
eats, we have logging in there 

523
00:26:17,600 --> 00:26:19,700
right now and in the app, 
because the app is what's 

524
00:26:19,700 --> 00:26:21,300
driving? 
The behavior modification, 

525
00:26:21,300 --> 00:26:23,300
right. 
Let's keep things like setting 

526
00:26:23,300 --> 00:26:27,500
your targets and then hitting 
those targets for weight loss or

527
00:26:27,800 --> 00:26:30,900
you know all the programs we 
have our like within the app our

528
00:26:30,900 --> 00:26:32,600
weight loss. 
Metabolic. 

529
00:26:32,700 --> 00:26:35,400
Flexibility, which is lower 
levels of ketones. 

530
00:26:35,400 --> 00:26:38,500
And then the higher ones are 
like anti-inflammatory which are

531
00:26:38,500 --> 00:26:40,800
important for me. 
I had six knee surgeries all in,

532
00:26:41,000 --> 00:26:42,600
you know, from soccer and 
things. 

533
00:26:43,100 --> 00:26:44,900
So you know, it's different for 
everybody. 

534
00:26:44,900 --> 00:26:48,500
But now I don't think we have 
that type of data, that's pretty

535
00:26:48,500 --> 00:26:51,200
interesting. 
You know, on that fat adaptation

536
00:26:51,200 --> 00:26:55,500
over time, I can just, you know,
personal stories is that I'm 

537
00:26:55,500 --> 00:26:59,700
pretty darn quick to get back 
into a mode where ever. 

538
00:26:59,700 --> 00:27:02,000
I need to be. 
Yeah, you know, it's just been a

539
00:27:02,000 --> 00:27:05,500
few years so It's really easy 
for me to kind of dictate my 

540
00:27:06,000 --> 00:27:10,500
where I want to be and it's 
being it's you know it's cool, 

541
00:27:10,500 --> 00:27:13,100
it's just becoming quicker and 
quicker and quicker. 

542
00:27:13,300 --> 00:27:15,500
So I kind of feel like I'm in 
full control of where I am in 

543
00:27:15,500 --> 00:27:18,400
fat oxidation and intense, man 
make sense. 

544
00:27:18,400 --> 00:27:21,500
Yeah, yeah. 
You may feel the Lumen earlier 

545
00:27:21,500 --> 00:27:25,500
and they sent me a lumen device 
and I've kind of played around 

546
00:27:25,500 --> 00:27:29,400
with it like three times. 
I think, can you kind of compare

547
00:27:29,400 --> 00:27:31,300
and contrast? 
What the difference in 

548
00:27:31,300 --> 00:27:34,000
technology are the kind of what 
What one is showing over the 

549
00:27:34,000 --> 00:27:36,700
other? 
Yeah, I mean that's that's a, 

550
00:27:36,800 --> 00:27:39,900
that's not a medical device, 
that's a consumer device. 

551
00:27:39,900 --> 00:27:44,200
So, first big difference is that
by a sense, device is a medical 

552
00:27:44,200 --> 00:27:47,400
device. 
So, we're monitored by the FDA, 

553
00:27:47,400 --> 00:27:51,300
and that's a, you know, just 
that's what you do with devices 

554
00:27:51,300 --> 00:27:53,600
that have that much clinical 
background to them. 

555
00:27:53,600 --> 00:27:59,400
So, number two, is that we 
measure fat burn a or fat 

556
00:27:59,400 --> 00:28:02,600
oxidation or ketosis as it 
changes that measures. 

557
00:28:02,900 --> 00:28:06,200
Respiratory quotient. 
But they which is a quotient of 

558
00:28:06,200 --> 00:28:09,700
oxygen intake to carbon dioxide,
you know. 

559
00:28:09,700 --> 00:28:13,800
Exhale they don't the Lumen 
device to my knowledge does not 

560
00:28:13,800 --> 00:28:19,100
measure oxygen so it is a proxy 
so pretty good guess of where 

561
00:28:19,100 --> 00:28:24,000
you might be in a state of fat 
burner car burn, okay? 

562
00:28:25,800 --> 00:28:27,600
And that's it. 
So it gives you hey, you're 

563
00:28:27,600 --> 00:28:32,700
probably burning fat for fuel or
probably burning carbs for a 

564
00:28:32,708 --> 00:28:34,600
fuel and they'll give you five 
or six. 

565
00:28:34,700 --> 00:28:38,500
I think five ranges on that. 
So they're not measuring oxygen.

566
00:28:38,500 --> 00:28:41,800
So what is the the metric that 
they are measuring the measuring

567
00:28:41,800 --> 00:28:45,400
carbon dioxide in your breath? 
So, it's a, it's a proxy for 

568
00:28:45,400 --> 00:28:49,700
respiratory quotient, which is 
what is measured in a metabolic 

569
00:28:49,700 --> 00:28:53,100
cart in a hospital. 
So so, so if you wanted to do it

570
00:28:53,100 --> 00:28:54,900
the right way, you'd have to do 
in hospital, you couldn't do it.

571
00:28:54,900 --> 00:28:58,200
The device where's acetone is a 
different gas. 

572
00:28:58,200 --> 00:29:02,600
We measure we measure exactly 
what your fat burn data is not. 

573
00:29:02,700 --> 00:29:07,000
Not what not the, if, but 
exactly where you are. 

574
00:29:07,000 --> 00:29:09,700
So, I think about this, like, 
again, the fever example, like 

575
00:29:11,000 --> 00:29:15,400
Lumen could say, hey, you have a
fever and then we're thumb, you 

576
00:29:15,400 --> 00:29:18,400
know, biosensors a thermometer 
what your, what your actual 

577
00:29:18,400 --> 00:29:20,400
temperature is as it changes 
throughout the day. 

578
00:29:20,700 --> 00:29:23,600
So that's that's the difference.
So Lumen would be limited as 

579
00:29:23,600 --> 00:29:26,200
soon as so in a measurement. 
Like it was we have 0 to 40 

580
00:29:27,100 --> 00:29:32,200
Lumen measurements are the 024 
equivalent of our 02:40. 

581
00:29:32,400 --> 00:29:34,400
So They're just the very very 
bottom of that. 

582
00:29:34,400 --> 00:29:37,400
Like you're burning carbs which 
would be a zero on biosense, are

583
00:29:37,400 --> 00:29:39,600
you burning fat? 
I'm not afraid of lumen. 

584
00:29:39,600 --> 00:29:43,400
I mean, I I tried it around like
I said, a few times and it was 

585
00:29:43,400 --> 00:29:45,500
like, the day it was giving me 
was just really skewed. 

586
00:29:45,500 --> 00:29:48,100
Like I was saying that I was 
eating way too many carbs on my,

587
00:29:48,100 --> 00:29:49,200
I haven't had carbs in seven 
years. 

588
00:29:49,200 --> 00:29:52,500
I don't you talking about? 
Yeah, give me data. 

589
00:29:52,500 --> 00:29:55,900
That was just totally wonky. 
So, like, I'd never really put 

590
00:29:55,900 --> 00:29:57,800
much stock into what it's 
telling me. 

591
00:29:58,500 --> 00:30:00,700
Yeah. 
So again, it doesn't measure 

592
00:30:00,700 --> 00:30:03,300
oxygen. 
So it's a, you know, it's a It's

593
00:30:03,300 --> 00:30:06,500
a device that could maybe give 
some proxy to some people. 

594
00:30:06,500 --> 00:30:07,600
I'm not really sure who that 
would be. 

595
00:30:07,600 --> 00:30:10,300
But yeah, so we're really 
focused on providing the 

596
00:30:10,400 --> 00:30:14,000
behavior modification over 
long-term and giving biofeedback

597
00:30:14,000 --> 00:30:17,700
actual real biofeedback, not a, 
not a proxy to something but 

598
00:30:17,800 --> 00:30:21,400
actual biofeedback based on what
you do and then wrapping that up

599
00:30:21,400 --> 00:30:24,000
in an app that says, hey, do 
this differently or do that. 

600
00:30:24,300 --> 00:30:27,200
So that must be, I mean like 
with the media that I'm using 

601
00:30:27,200 --> 00:30:30,800
from that OG M Pool from, you 
know, two and a half years ago. 

602
00:30:30,800 --> 00:30:33,300
I don't know of any of that. 
Functionality. 

603
00:30:33,300 --> 00:30:37,300
So I must be just on the way 
beginning beginning stage 

604
00:30:37,300 --> 00:30:40,400
because like the, I guess the 
app now like it's one thing I 

605
00:30:40,400 --> 00:30:43,200
did notice about the Lumen, is 
it had all kinds of actionable 

606
00:30:43,200 --> 00:30:45,500
data even though I didn't really
agree with the actionable data, 

607
00:30:45,700 --> 00:30:49,200
I can see how that would be 
very, you know, complementary to

608
00:30:49,200 --> 00:30:50,900
people that are wanting more 
directions. 

609
00:30:50,900 --> 00:30:53,300
That's kind of what y'all have 
done in rolled out with the new.

610
00:30:53,400 --> 00:30:56,200
Yeah Direction. 
Yeah, yeah. 

611
00:30:56,200 --> 00:30:58,700
We're heading that direction to 
it would be a little bit more. 

612
00:30:58,700 --> 00:31:02,500
Physiologic you know, where his 
content content. 

613
00:31:02,600 --> 00:31:05,700
On some of these apps are 
consumer apps like, hey, eat 

614
00:31:05,700 --> 00:31:08,000
less this or do that? 
That's, that's kind of kind of 

615
00:31:08,008 --> 00:31:09,600
apply to everybody. 
Doesn't really matter what your 

616
00:31:09,600 --> 00:31:12,200
biomarkers, right? 
It's like, hey, do this and kind

617
00:31:12,200 --> 00:31:15,500
of applies and I don't agree 
with a lot of it, because it's 

618
00:31:15,500 --> 00:31:19,600
not a, you know, they don't 
really seek ketosis in any of 

619
00:31:19,600 --> 00:31:21,900
their content in the Lumen 
device because they can't 

620
00:31:21,900 --> 00:31:24,700
measure it, right? 
So it'd be more of a just 

621
00:31:24,700 --> 00:31:27,900
simple, real simple basic stuff,
but there's value in that and a 

622
00:31:27,908 --> 00:31:31,700
lot of just kind of someone that
wants to understand metabolism 

623
00:31:31,700 --> 00:31:34,900
101. 
Are you know, first paragraph of

624
00:31:35,500 --> 00:31:38,900
your lesson type of thing. 
So where we fit in as more of a 

625
00:31:39,600 --> 00:31:42,300
ultimately prescriptive model 
of, hey, this is where your 

626
00:31:42,300 --> 00:31:45,000
body's going as it changes 
throughout the day. 

627
00:31:45,400 --> 00:31:48,100
Let's look at what can be 
changed on the line and that's 

628
00:31:48,100 --> 00:31:49,100
the stuff that we'll have in the
future. 

629
00:31:49,100 --> 00:31:51,100
We don't have that right now. 
That could be like hey try 

630
00:31:51,100 --> 00:31:55,500
eating one hour earlier, try 
doing this or that and and then 

631
00:31:55,500 --> 00:31:58,800
you should put this in but right
now today is hey you're in a 

632
00:31:58,800 --> 00:32:00,500
program. 
Let's say for weight loss. 

633
00:32:00,500 --> 00:32:04,300
It's take 3 measurements today 
so it is very Specific Target 

634
00:32:04,500 --> 00:32:07,700
above, five, Aces to 5 to 10, 
okay? 

635
00:32:07,700 --> 00:32:11,200
For the next 28 days, document 
your weight in there and then 

636
00:32:11,200 --> 00:32:14,500
let's look at that correlation 
and then you your pinged, hey, 

637
00:32:14,500 --> 00:32:16,300
need to take a measurement now. 
So just a little bit more 

638
00:32:16,300 --> 00:32:20,800
prescriptive and and you don't 
have to sit still think, you 

639
00:32:20,800 --> 00:32:23,100
know, with metabolic wear with 
like Lumen, you have to sit 

640
00:32:23,100 --> 00:32:26,500
still for a while, you know, by 
essentially can do that on an 

641
00:32:26,500 --> 00:32:28,800
airplane or under way to work or
whatever you want to do. 

642
00:32:29,200 --> 00:32:31,500
Yeah, totally. 
I mean it's exciting stuff man. 

643
00:32:31,500 --> 00:32:33,300
Like, I feel Pamela's. 
Mm. 

644
00:32:33,300 --> 00:32:36,900
As a whole is something that the
general population is just 

645
00:32:36,900 --> 00:32:40,800
incredibly confused by. 
She's yeah. 

646
00:32:40,800 --> 00:32:42,600
And the consumer space. 
Yeah for sure. 

647
00:32:42,600 --> 00:32:44,700
Yeah. 
And there's like like you've got

648
00:32:44,700 --> 00:32:48,500
you know a lot of the Bro 
dieters you know heralding you 

649
00:32:48,500 --> 00:32:50,500
know calories in calories out is
the end-all be-all. 

650
00:32:50,600 --> 00:32:53,700
And there's a lot of people, the
low-carb keto space that are in 

651
00:32:53,700 --> 00:32:55,700
total, disagreement with 
calories in calories out 

652
00:32:55,700 --> 00:32:57,800
because, you know, that's 
quote-unquote, not worked for 

653
00:32:57,800 --> 00:33:00,400
them. 
And I mean, there's some truth 

654
00:33:00,400 --> 00:33:01,800
to everything. 
I feel like that all matters, 

655
00:33:01,800 --> 00:33:04,600
hormones matter, Cal matter, 
energy balance matters, but when

656
00:33:04,608 --> 00:33:07,800
you look at the energy balance, 
you know, that should ideally 

657
00:33:07,800 --> 00:33:09,700
take into account. 
You know, what your hormones are

658
00:33:09,708 --> 00:33:12,200
doing, what your activity levels
are doing, what your consumption

659
00:33:12,200 --> 00:33:13,600
is. 
Like, like, that is kind of like

660
00:33:13,600 --> 00:33:17,000
the all-inclusive, you know, 
what is your energy intake and 

661
00:33:17,000 --> 00:33:19,000
energy expenditure. 
And I feel like where things are

662
00:33:19,000 --> 00:33:21,500
going with these, you know, 
breath devices. 

663
00:33:21,500 --> 00:33:23,600
Like, biosense, especially if 
you're following a ketogenic 

664
00:33:23,600 --> 00:33:25,300
diet. 
Low carb diet in your measuring 

665
00:33:25,900 --> 00:33:28,100
and you're getting more 
actionable data with this 

666
00:33:28,100 --> 00:33:30,000
quantifiable acetone 
measurement. 

667
00:33:30,100 --> 00:33:33,200
You can really start to harness 
whether or not You are in a 

668
00:33:33,200 --> 00:33:36,400
energy Surplus or energy 
deficit, based off of this 

669
00:33:36,400 --> 00:33:38,100
feedback. 
That's right. 

670
00:33:38,100 --> 00:33:41,100
And then tweak it tweak what 
you're doing and then see what 

671
00:33:41,100 --> 00:33:45,700
happens, you know, and it's, you
know, you don't, I don't certain

672
00:33:45,700 --> 00:33:47,200
kind of these. 
You're going to need biases for 

673
00:33:47,200 --> 00:33:50,400
a long, long, long, long time. 
But ultimately, we're here to 

674
00:33:50,400 --> 00:33:53,600
help educate the specific. 
So you can do whatever you want 

675
00:33:53,600 --> 00:33:56,700
to end up doing. 
And, you know, our job is to 

676
00:33:56,700 --> 00:34:00,200
wean you off of these with 
phenomenal, Behavior changes, 

677
00:34:00,200 --> 00:34:02,500
you know, or knowledge in the 
competitive space. 

678
00:34:02,600 --> 00:34:05,600
It's like knowledge of where you
need to be and then just then 

679
00:34:05,600 --> 00:34:08,300
it's more to check in type of 
thing, but you got to have real 

680
00:34:08,300 --> 00:34:09,400
data. 
That's why I like a medical 

681
00:34:09,400 --> 00:34:11,699
device. 
I mean you just said it like 

682
00:34:11,699 --> 00:34:15,699
there's so much stuff out there 
about metabolism like CGM for 

683
00:34:15,699 --> 00:34:18,100
weight loss. 
May come on lipolysis or weight 

684
00:34:18,100 --> 00:34:21,699
loss is fat. 
Oxidation, is burning fat as 

685
00:34:21,699 --> 00:34:24,800
your fuel. 
That's not in glucose, glucose 

686
00:34:25,400 --> 00:34:27,400
limit your glucose to stop 
gaining weight but then there's 

687
00:34:27,400 --> 00:34:29,000
another side. 
So there's just Infamous 

688
00:34:29,000 --> 00:34:31,699
information everywhere. 
I need to this 18:6 diet, where 

689
00:34:31,699 --> 00:34:33,600
do whatever you want for, 
Showers and you're going to be 

690
00:34:33,600 --> 00:34:37,800
in phenomenal shape, you know, 
by not eating for 18 hours. 

691
00:34:38,199 --> 00:34:39,500
That's not going to really work 
that. 

692
00:34:39,500 --> 00:34:43,300
Well, yeah. 
So the good news is though, is 

693
00:34:43,300 --> 00:34:45,500
that, you know, the real 
companies are being separated 

694
00:34:45,500 --> 00:34:48,600
from the from the ones that are 
kind of pulling the wool over 

695
00:34:48,600 --> 00:34:52,000
our eyes but that'll take time. 
Yeah, hey, that's your job 

696
00:34:52,000 --> 00:34:54,199
people like, you gotta go to 
make sure you're sure, you're 

697
00:34:54,199 --> 00:34:58,200
sure and no I mean, I like I 
mean you and I talked way back 

698
00:34:58,200 --> 00:35:00,900
in the day and I like the 
direction the company's going 

699
00:35:00,900 --> 00:35:02,500
and there's a lot of there's a 
lot. 

700
00:35:02,600 --> 00:35:05,000
Of testing devices out there 
that I think you know, we're not

701
00:35:05,000 --> 00:35:07,600
really worthwhile and when it 
comes to testing, you know, 

702
00:35:07,800 --> 00:35:09,100
blood test with the finger 
Pricks. 

703
00:35:09,100 --> 00:35:11,500
Like you know, if I'm doing a 
whole bunch of experiments I 

704
00:35:11,500 --> 00:35:14,300
like Gathering that data but at 
the end of day, at the end of 

705
00:35:14,300 --> 00:35:17,600
the day, everybody's goal in my 
opinion, should be to 

706
00:35:18,100 --> 00:35:22,200
effortlessly, maintain a very 
healthy composition while eating

707
00:35:22,200 --> 00:35:25,000
incredibly intuitively and not 
tracking anything. 

708
00:35:25,000 --> 00:35:28,900
Now, if you're not there yet, 
you should dial in everything 

709
00:35:28,900 --> 00:35:32,200
and pull out all the stops and 
get there as efficiently as 

710
00:35:32,200 --> 00:35:35,700
possible. 
All, but, you know, for for the 

711
00:35:35,700 --> 00:35:38,100
people that are not there yet, 
which I would argue, is the 

712
00:35:38,100 --> 00:35:40,400
majority of the population. 
That's certainly the case when 

713
00:35:40,400 --> 00:35:42,900
you look at the obesity rate 
right now, yeah, yeah. 

714
00:35:42,900 --> 00:35:46,200
Being able to have actionable 
data like this and quantifiable 

715
00:35:46,200 --> 00:35:48,900
tools that you can use to get 
this feedback, I think is 

716
00:35:48,900 --> 00:35:51,900
incredibly valuable. 
Yeah, you know, it gets even 

717
00:35:51,900 --> 00:35:57,000
deeper tune that summon Le like 
you and I that we probably 

718
00:35:58,200 --> 00:36:00,700
pretty darn knowledgeable about 
this space just because of 

719
00:36:00,700 --> 00:36:03,600
experience and we be lots of 
Research papers and we, you 

720
00:36:03,600 --> 00:36:07,300
know, in our site where in the 
research but the bottom line is,

721
00:36:07,300 --> 00:36:10,100
even if once we tweak that and 
we've got it, we're in a really 

722
00:36:10,100 --> 00:36:13,300
good place, our bodies do change
and, you know, I'll give you 

723
00:36:13,300 --> 00:36:17,300
some personal examples, like, 
cortisol levels, really, really 

724
00:36:17,300 --> 00:36:19,400
screw with my metabolism big 
time. 

725
00:36:20,000 --> 00:36:22,400
You know, I run a company, you 
run a company, you know, like 

726
00:36:22,400 --> 00:36:25,100
it's the stress can be pretty 
high at times, they like, why am

727
00:36:25,100 --> 00:36:27,700
I not sleeping so? 
Well, it's the cortisol levels 

728
00:36:27,700 --> 00:36:30,500
are higher, that's impacting. 
Your ability to get into these 

729
00:36:30,500 --> 00:36:35,800
higher levels of High impact, 
you know, Ketone ketosis levels,

730
00:36:35,800 --> 00:36:38,100
you know, like, and I can feel 
that in the inflammation, like 

731
00:36:38,100 --> 00:36:41,600
wait a minute, something's 
different and and it usually is 

732
00:36:41,600 --> 00:36:44,000
related to things like stress, 
which means, then I got to tweak

733
00:36:44,000 --> 00:36:45,500
it, you know. 
And I'll test myself and like 

734
00:36:45,600 --> 00:36:49,700
I'm sure enough you know I'm in 
much lower levels of fat 

735
00:36:49,700 --> 00:36:52,800
oxidation or ketosis and I 
thought, you know, and even 

736
00:36:52,800 --> 00:36:57,400
though I'm doing the same thing.
So we're complex bird, we really

737
00:36:57,400 --> 00:37:00,600
are, then we assume anything, 
you know, are you aware of any 

738
00:37:00,600 --> 00:37:05,200
devices in production? 
Or you know, in the R&D phase 

739
00:37:05,200 --> 00:37:09,100
that are going to be able to 
allow us to monitor. 

740
00:37:09,400 --> 00:37:12,500
Cortisol levels real time. 
No. 

741
00:37:12,500 --> 00:37:15,500
But I boy, I'd get it. 
Yeah, that would be like that. 

742
00:37:15,500 --> 00:37:17,700
Well reliably, I mean there's 
going to be things like its 

743
00:37:17,700 --> 00:37:20,500
saliva and this and that and 
sweat and stuff like that. 

744
00:37:20,500 --> 00:37:24,600
But I mean, reliable real 
information on this. 

745
00:37:24,700 --> 00:37:28,100
That would be fantastic. 
I feel like people need to be 

746
00:37:28,100 --> 00:37:32,200
able to see that and like a real
time, you know, data feedback 

747
00:37:32,200 --> 00:37:34,500
wave. 
Oo well actually probably should

748
00:37:34,500 --> 00:37:37,000
meditate RC probably turn the TV
off. 

749
00:37:37,000 --> 00:37:39,900
I should probably relax but like
people do a blood test you know 

750
00:37:39,900 --> 00:37:42,400
once every two years and it says
their cortisol levels are 

751
00:37:42,400 --> 00:37:44,100
elevated and they just forget 
about they don't do anything 

752
00:37:44,100 --> 00:37:46,700
about it. 
Yeah, well here's I did mine. 

753
00:37:46,700 --> 00:37:48,400
It said they're fine. 
Okay. 

754
00:37:48,400 --> 00:37:50,500
When I knew that they weren't 
because waking up at 4:00 in the

755
00:37:50,508 --> 00:37:54,500
morning, you know, every day 
thinking about cool things and, 

756
00:37:55,300 --> 00:37:59,000
you know, spent 35 bucks on a 
test of cortisol test. 

757
00:37:59,500 --> 00:38:03,800
And at the time I took the test 
was after I had Broke now up and

758
00:38:03,800 --> 00:38:05,500
had a cup of coffee. 
I was chilled out. 

759
00:38:05,500 --> 00:38:07,800
I was sitting outside. 
I'm like I'm in a pretty 

760
00:38:07,800 --> 00:38:10,800
meditative State here in a good 
place. 

761
00:38:10,800 --> 00:38:14,000
I'm checking my cortisol levels.
There's like I need and I just 

762
00:38:14,000 --> 00:38:15,600
spent 35 bucks to tell me 
something. 

763
00:38:15,600 --> 00:38:18,000
I already know that my cortisol 
levels are good. 

764
00:38:18,100 --> 00:38:20,300
Well, they weren't three hours 
ago when I was kind of half 

765
00:38:20,300 --> 00:38:22,600
sleeping half not when I can't 
even take it that. 

766
00:38:22,600 --> 00:38:26,400
So it's your right like these 
Spot Shot test and Kita. 

767
00:38:26,400 --> 00:38:29,300
Arguably ketones are like that. 
Like they're just not a great 

768
00:38:29,300 --> 00:38:32,100
reflection of reality of our 
body's changing and that's what 

769
00:38:32,100 --> 00:38:33,000
needs to be. 
Rest. 

770
00:38:33,100 --> 00:38:35,100
Yeah, and that has such a 
trickle-down effect on 

771
00:38:35,107 --> 00:38:38,800
everything. 
I took a testosterone test and I

772
00:38:38,800 --> 00:38:41,600
took, I was stupid. 
When I took that took it after 

773
00:38:41,600 --> 00:38:45,900
having literally stayed awake 
for a week because it was like, 

774
00:38:45,900 --> 00:38:48,400
batshit crazy in February of 
this year. 

775
00:38:49,000 --> 00:38:50,300
There's a whole bunch of stuff 
going with the business, I 

776
00:38:50,300 --> 00:38:54,000
literally wouldn't sleeping and 
I was like stress levels to the 

777
00:38:54,000 --> 00:38:57,200
freaking Nth Degree and that 
took this this test and my 

778
00:38:57,200 --> 00:39:01,000
testosterone literally was cut 
in half and had I not taken a 

779
00:39:01,008 --> 00:39:02,200
test. 
I would have thought nothing of 

780
00:39:02,200 --> 00:39:03,500
it. 
It but then when I actually 

781
00:39:03,600 --> 00:39:06,000
recognized, you know, and put 
the pieces together. 

782
00:39:06,000 --> 00:39:07,600
I'm like wow. 
Okay I hadn't slept hardly at 

783
00:39:07,600 --> 00:39:09,800
all this past week, stress 
levels, through the roof. 

784
00:39:09,800 --> 00:39:11,900
Everything is just totally 
jacked up. 

785
00:39:12,200 --> 00:39:14,600
But, you know, I don't do tests 
like that very often. 

786
00:39:14,600 --> 00:39:19,100
So I think if there was a way to
measure that more frequently 

787
00:39:19,100 --> 00:39:22,400
from like a stress standpoint, 
yeah, that would probably be. 

788
00:39:22,400 --> 00:39:24,400
I put more emphasis on that to 
anything. 

789
00:39:25,000 --> 00:39:28,700
Yeah, that's the same exact 
thing that same test that I took

790
00:39:28,700 --> 00:39:32,200
actually was testosterone and, 
and cortisol levels and when it 

791
00:39:32,500 --> 00:39:35,100
In the my cortisol levels were 
normal, which is, there's no way

792
00:39:35,100 --> 00:39:38,500
they were or they were at the 
very moment, but then 

793
00:39:38,500 --> 00:39:41,500
testosterone was low and I'm 
like, that's not true either. 

794
00:39:41,500 --> 00:39:43,900
So it's you got, it's about the 
story. 

795
00:39:44,000 --> 00:39:46,300
You know, it's not snapshot, 
it's the story and we gotta 

796
00:39:46,300 --> 00:39:49,300
figure out a way to do that. 
So hey, you find that product. 

797
00:39:49,300 --> 00:39:50,500
Let me know. 
I'm going to get it. 

798
00:39:50,500 --> 00:39:54,100
Yeah, let's this next thing on 
your list of things to, you 

799
00:39:54,100 --> 00:39:55,400
know, crap there in the 
warehouse, man. 

800
00:39:55,400 --> 00:39:56,800
Just get to worry about that, 
would you? 

801
00:39:58,600 --> 00:40:01,500
So, I wish is that easy? 
Yeah, I'm medical devices. 

802
00:40:01,700 --> 00:40:03,300
What a what? 
It's in the pipeline, man. 

803
00:40:03,300 --> 00:40:05,500
What are you excited about? 
As far as the Bayou since m, is 

804
00:40:05,500 --> 00:40:07,300
there something else totally 
unrelated to that? 

805
00:40:07,300 --> 00:40:09,400
That you get cooking? 
No, we do. 

806
00:40:09,400 --> 00:40:12,800
You know, it's pretty much on 
the Demeter is, I mean, is a 

807
00:40:12,808 --> 00:40:14,600
collection for an experience, 
right? 

808
00:40:14,600 --> 00:40:17,700
The devices device. 
It's like, what do you do if you

809
00:40:17,700 --> 00:40:21,300
have the only clinical 
non-invasive way to track, 

810
00:40:21,300 --> 00:40:24,000
moving shifting ketones without 
pricking yourself mobilized. 

811
00:40:24,000 --> 00:40:25,800
A, you've got that data, what 
does that mean? 

812
00:40:26,000 --> 00:40:30,000
And it really means that you can
build digital programs that are 

813
00:40:30,000 --> 00:40:33,000
super smart and I mean really 
smart, not Not all that 

814
00:40:33,000 --> 00:40:37,700
different than what all these 
companies are doing with CGM on 

815
00:40:37,700 --> 00:40:40,000
the other side of the metal box,
which CGM? 

816
00:40:40,100 --> 00:40:43,800
Notice that? 
None of those measure ketosis or

817
00:40:43,800 --> 00:40:45,900
fat oxidation. 
They can't, they don't have a 

818
00:40:45,900 --> 00:40:50,100
way to do that unless they work 
with us so what you just 

819
00:40:50,100 --> 00:40:52,400
manually enter your blood 
pressure or something like that.

820
00:40:52,400 --> 00:40:56,900
So there's that's there's an 
exciting array of different 

821
00:40:56,900 --> 00:41:00,400
applications. 
So I would say that's the 

822
00:41:00,400 --> 00:41:03,700
primary thing. 
We've Yeah, so it's same 

823
00:41:03,700 --> 00:41:08,100
Hardware obviously much upgraded
but the digital side of this and

824
00:41:08,100 --> 00:41:10,500
behavior modifications, where 
we've invested really, really 

825
00:41:10,500 --> 00:41:14,900
heavily and you'll sink with 
heads up Health, right? 

826
00:41:14,900 --> 00:41:17,400
Like all that is synchronized. 
Yeah. 

827
00:41:17,400 --> 00:41:22,200
Heads up health and Doc sink and
Elation and chronometer and carb

828
00:41:22,200 --> 00:41:27,000
manager and Senza. 
And I'm sure hola life ohmic 

829
00:41:27,000 --> 00:41:30,300
with our fasting app so there's 
a lot that we we embed ourselves

830
00:41:30,300 --> 00:41:33,500
into and then obviously, we have
our own Melody of fasting and 

831
00:41:33,500 --> 00:41:36,400
things like zeros and other one,
if you're using 20 app, can 

832
00:41:37,200 --> 00:41:39,000
integrate with that. 
And then we have our own 

833
00:41:39,000 --> 00:41:42,200
fasting, we clocks and all that.
That have actual Ketone 

834
00:41:42,200 --> 00:41:44,400
measurements instead of just a 
guess. 

835
00:41:44,800 --> 00:41:47,500
Nice, nice. 
That's yeah, so a lots in the 

836
00:41:47,500 --> 00:41:53,600
hopper and you said the new 
devices, they're faster to I 

837
00:41:53,600 --> 00:41:55,800
guess, like when I click the 
button, like I've got to wait, 

838
00:41:55,800 --> 00:41:59,000
like 20 seconds in order for me 
to blow that's fast, that's 

839
00:41:59,000 --> 00:42:01,800
still pretty fast, because it 
has to heat up the sensor to a 

840
00:42:01,800 --> 00:42:04,000
certain level. 
Level and then it's a smart 

841
00:42:04,000 --> 00:42:07,600
sensor so it knows that it's 
kind of killing off any type of 

842
00:42:08,500 --> 00:42:11,600
biologic or anything that's on 
the sensor so it will heat it up

843
00:42:11,600 --> 00:42:15,800
really really high like 300 
degrees this and burn that off. 

844
00:42:15,800 --> 00:42:18,800
Now if you have if it's sitting 
around hand sanitizer, which 

845
00:42:18,800 --> 00:42:22,100
yours clearly was not, it could 
take a while, you know, like you

846
00:42:22,107 --> 00:42:25,900
got a burn that off it so 
alcohols not a friend of 

847
00:42:25,900 --> 00:42:29,000
sensors, so that's it. 
So you know, first time you use 

848
00:42:29,000 --> 00:42:33,000
it a it takes probably 23 
minutes or if you have any While

849
00:42:33,000 --> 00:42:36,300
and then each time you use it 
might take 30 seconds so you 

850
00:42:36,300 --> 00:42:38,000
stored. 
Your is really really well you 

851
00:42:38,000 --> 00:42:40,600
started somewhere and then I my 
desk. 

852
00:42:41,100 --> 00:42:42,100
Yeah. 
Okay there you go. 

853
00:42:42,100 --> 00:42:45,900
And then the the app obviously 
just download the app. 

854
00:42:45,900 --> 00:42:49,100
My BIOS are biosense from 
readout health and then it 

855
00:42:49,100 --> 00:42:51,700
connects everything together. 
So it sinks and then and here's 

856
00:42:51,700 --> 00:42:54,300
what you've been missing. 
You got firmware, that's 

857
00:42:54,300 --> 00:43:00,500
probably two years old, the app 
uploads, new firmware all the 

858
00:43:00,500 --> 00:43:02,200
time. 
So your device is up. 

859
00:43:02,400 --> 00:43:06,200
Upgraded all the time but you've
got one that's so old that you 

860
00:43:06,200 --> 00:43:07,800
got a sample one. 
Will get you a new one. 

861
00:43:08,300 --> 00:43:09,900
Then we'll shoot man. 
Just let me know. 

862
00:43:09,900 --> 00:43:11,700
I'll buy it. 
I like I like the device. 

863
00:43:11,700 --> 00:43:13,100
I put my money behind it for 
sure. 

864
00:43:13,700 --> 00:43:16,200
Okay, cool, man. 
Well awesome man. 

865
00:43:16,200 --> 00:43:17,800
I'm are you going any 
conferences this year? 

866
00:43:18,600 --> 00:43:21,700
Yeah, we just did metabolic 
Health Summit, which is great. 

867
00:43:22,100 --> 00:43:25,400
Kito Khan first time we're going
to that next month, you're going

868
00:43:25,400 --> 00:43:26,600
to be there. 
I'll be there. 

869
00:43:27,100 --> 00:43:32,500
All right we'll we'll pass pass 
each other there and love your A

870
00:43:32,508 --> 00:43:34,300
Bricks, by the way, I freaking 
love. 

871
00:43:34,600 --> 00:43:36,500
Absolutely. 
What's your favorite flavor? 

872
00:43:37,800 --> 00:43:39,900
The chocolate. 
The chocolate one, but it's a 

873
00:43:39,908 --> 00:43:42,800
little problematic in that I 
snack. 

874
00:43:42,800 --> 00:43:45,500
I mean I really like this so 
I've got to make sure I'm 

875
00:43:45,500 --> 00:43:50,000
really, really I'm disciplined. 
Yeah a lot of like a lot of 

876
00:43:50,008 --> 00:43:52,500
people love they'll come up into
pieces then just kind of snack 

877
00:43:52,500 --> 00:43:55,400
on my just do a whole brick at a
time so I can't really do. 

878
00:43:55,700 --> 00:43:58,200
I've been doing like to add a 
here lately but I don't really 

879
00:43:58,200 --> 00:44:02,300
do more than one so it's much 
easier to kind of moderate. 

880
00:44:02,400 --> 00:44:04,000
At that cuz I'm not just snack 
it out there. 

881
00:44:04,000 --> 00:44:05,300
Yeah, I do about half. 
Okay. 

882
00:44:05,300 --> 00:44:07,300
And I'll do a half over the 
course of an hour just kind of 

883
00:44:07,308 --> 00:44:10,800
snack not, but it, that is to me
is like perfect and it keeps my 

884
00:44:10,800 --> 00:44:14,400
kiss hard to find fat, you know?
I mean, yeah, it really, really,

885
00:44:14,400 --> 00:44:17,500
really is hard to find fat as 
much when you're in it. 

886
00:44:17,600 --> 00:44:19,400
When you're in it to win it like
you and I are like, you think 

887
00:44:19,400 --> 00:44:21,600
about it? 
Like I'm always on a search for 

888
00:44:21,600 --> 00:44:23,700
fat, you know. 
Like I used to be in a search 

889
00:44:23,700 --> 00:44:28,700
for low fat, which is stupid. 
But it did was, you know, so 

890
00:44:28,700 --> 00:44:31,900
that that would be the one that 
I typically have Quality Fence. 

891
00:44:31,900 --> 00:44:33,300
I'm there. 
The out there but it's kind of 

892
00:44:33,300 --> 00:44:35,300
hard to like have that 
convenience fact. 

893
00:44:35,300 --> 00:44:38,100
I mean like like beef suet for 
instance is great but most 

894
00:44:38,100 --> 00:44:40,200
people don't have just 
pocketfuls of beef suet hanging 

895
00:44:40,200 --> 00:44:41,700
out, you know? 
No. 

896
00:44:41,700 --> 00:44:43,200
No, no. 
You're totally right. 

897
00:44:43,200 --> 00:44:47,000
So yeah I totally agree. 
Awesome, man, awesome. 

898
00:44:47,000 --> 00:44:48,500
What's always, pleasure? 
Chatting with you, brother. 

899
00:44:48,500 --> 00:44:50,000
I'm excited to see it. 
Key dokkan. 

900
00:44:50,100 --> 00:44:52,100
I'm excited to get this new 
meter and give it a whirl. 

901
00:44:52,400 --> 00:44:56,800
And I'm going to be doing a ton 
of experimentation for my next 

902
00:44:56,800 --> 00:44:59,300
prep in a few months. 
Well, depending on when I start 

903
00:44:59,300 --> 00:45:02,200
my prayer, but I'm going to be 
documenting all of this. 

904
00:45:02,400 --> 00:45:05,900
And I'll use the Bisons M like 
throughout the entire entirety 

905
00:45:05,900 --> 00:45:07,800
of it. 
So I'm curious to gather that 

906
00:45:07,800 --> 00:45:09,100
data and kind of see what it's 
showing. 

907
00:45:09,700 --> 00:45:11,400
All right, cool, cool. 
In any your listeners, by the 

908
00:45:11,400 --> 00:45:14,500
way they they do the discount. 
These set up a couple years ago.

909
00:45:14,600 --> 00:45:20,000
So is Quito Savage 20, if they 
want to get 20 bucks off method,

910
00:45:20,000 --> 00:45:21,700
even know how to code. 
So awesome. 

911
00:45:21,700 --> 00:45:24,800
There you go. 
Kito Savage, 20, awesome 

912
00:45:24,800 --> 00:45:26,000
brother. 
Will definitely keep in touch 

913
00:45:26,000 --> 00:45:26,900
me. 
If there's ever anything I can 

914
00:45:26,900 --> 00:45:29,400
do for you, just let me know. 
All right, cool? 

915
00:45:29,500 --> 00:45:31,100
See you man. 
All right, take care.

