Artwork for podcast The Odd Tandem Cycling Podcast with Bobby Julich and Jens Voigt
Robby Ketchell - Cycling's data pioneer
28th June 2024 • The Odd Tandem Cycling Podcast with Bobby Julich and Jens Voigt • Shocked Giraffe
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Joining Bobby and Jens this week is a genius who changed cycling as we know it with his radical approach to science. His legacy includes snub nose time trial helmets, specialist time trial suits and away from cycling - Eliud Kipchoge's sub two hour marathon.

Remember you can ask your questions for our next mailbag episode - wherever you see @oddTandem... or you can email them to us oddtandem@shockedgiraffe.com

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Transcripts

Speaker:

Hello everyone, and welcome back

to another episode of The Odd Tandem.

2

:

Yes, you know that we've changed our name

because you're listening.

3

:

But, make sure to spread the word

to your friends that we're back Jensie.

4

:

We are back and we try to be back

bigger and better.

5

:

So we have more episodes, per month

with some extra features.

6

:

We still have super interesting guests.

7

:

We would still talk about everything

related to cycling, but

8

:

we just try to be better

and more fascinating than we were before.

9

:

So yes, please share the love

10

:

and share knowledge with your friends

about The Odd Tandem Bobby.

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:

And yes,

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:

and that we are.

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:

We are an odd tandem

aren't we Jensie you know.

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:

No kidding.

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Been friends a long time

but yep, you know,

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:

I think you're on the front of the tandem.

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I'm on the back because, you know,

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you were always that guy in the front

going in breakaways with that game face.

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:

And I was always kind of crystal

cranking in the back.

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:

So if we ever get some pod art made,

you know, it's got to be you on the front

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with your game face and me on the back.

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:

Just, I don't know, reading the book or,

eating some carbohydrate hits

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:

in the background.

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But, anyway,

so today we have a fantastic guest.

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you may not know his name, but anyone

that's been involved in cycling and

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especially sports science, data science

for the last decade plus knows his name.

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So give a big odd tandem.

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Welcome to Robbie Ketchell.

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All right everyone special treat today

Robbie Kettle.

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Welcome to the odd tandem.

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thank you so much for having me.

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And I love the name, by the way.

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Yeah.

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Thank you very much. I mean,

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we went through quite a few names,

there's no doubt about it.

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but,

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who would you have on the back of your odd

tandem?

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Do you have anyone in your life

that, like, ends

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and I that are just totally opposite,

but it just kind of clicks for

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:

for you in that person?

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Oh, well,

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I obviously have my son because he's, he's

the one that actually pushes me to move.

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So, you know, otherwise

I wouldn't be on the bike.

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I probably have him with me.

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How how old is he?

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How hard can you push you

or you have to carry him around?

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Or is he, like,

is he your little turbo engine?

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He's six, but he's a superhero.

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You know?

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So he gets that he he does.

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You can fire that thing up. You know.

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Yeah.

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you move the camera a little bit,

but let's see the shirt.

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The, Oh, yeah. That's. Yeah.

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Baby.

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It, we just had a walk for a while, so.

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All right, you know Wyatt.

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Wyatt has down syndrome.

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And, my wife put on started

the first ever Seacoast

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Best Buddies friendship walk here

in, Exeter, New Hampshire.

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And so this was the second year running.

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And so Wyatt has his own team.

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It's called Wyatt's Warriors.

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well, we just have fundraising

for Best Buddies, and,

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we just got,

we just got done with that on Saturday.

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Cool, cool.

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Well, you know, to our listeners

that may not know your name,

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I mean, you are an absolute legend

in the sport of cycling.

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You kind of started the whole sports

science phase.

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so tell us in our listeners

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a little bit

about your educational background

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and how you got involved with the sport

of cycling in the first place.

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Robbie.

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oh. I actually start a little bit on my,

passion for the sport.

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So I grew up a bike racer.

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I wanted to be like you guys.

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I, started bike racing

when I was 12 years old

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because I blew out my knee

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and I couldn't do any of the fun sports

like soccer and football,

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because back then, they didn't repair

the ACL on a 12 year old.

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and my parents bought me a bike.

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and that year, when I was 12,

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my dad drove me from upstate New York

to Wichita Falls, Texas.

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I think it was like a three day

drive to go do the National

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Junior National Championships.

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And I sucked so bad

that I got dropped on the first lap.

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So my dad drove me three days

to come to this thing, and I just got

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absolutely shot out the back

of a bunch of 11 and 12 year olds.

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but from that day, I was hooked.

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And, I raced my bike until I was about,

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25 years old,

trying to trying to make it a career.

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I think I once made $500 in a year

racing my bike.

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I mean, I, I did my best,

but I it just wasn't it wasn't my thing.

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it wasn't meant to be, I guess.

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And so that was always the connection

with cycling.

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I was, computer science and, engineer.

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and had, then working, in a lab

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in, Colorado State

in, Fort Collins, and,

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there was, so I was in grad school

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there and there was, a wind tunnel,

and there was a training company,

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and two of them came together,

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and the wind tunnel had nothing to do

with cycling or sports.

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And the training company

basically wanted to

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I think it was called Colorado

Premier Training at the time.

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They wanted to do

wind tunnel testing there because

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wind tunnel testing was just starting

to become like the cool thing.

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San Diego.

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There was a wind tunnel out in San Diego.

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and, there were a bunch in Europe

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and, you know, they were creating these

cycling tests balance.

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And, and so I got to be

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part of, a team that built the software

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and the testing balance for that,

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wind tunnel in Colorado

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and Fort Collins and the same to see,

you know,

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was like the most retro

wind tunnel of all time.

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It was made out of plywood.

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It it looked like a cardboard box.

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because it wasn't

meant to be like a formula one type of

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sexy aero type of thing.

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It was used for gas dispersion modeling,

and so nobody really went in there.

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They would run the wind tunnel

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like all night

on these little tiny buildings to look at.

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Like, you know, how from health science

buildings, the fumes,

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whether they went into a sidewalk

and like things like that.

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And we built

a, a balance that went in this thing

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and the balance set off the floor

by like four feet.

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So you had to, like,

you know, rock climb yourself up

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to this thing,

and to get on the, on the testing balance.

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And it was looking back at it

like it was the least safe thing

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that you could put,

like any person on at all time.

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And the wind tunnel didn't

turn off either.

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So like in between testing,

you literally the wind, the wind's

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going 30 miles an hour, 50 K an hour,

and you would have to take a bike

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with a disc wheel out the door

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perpendicular to the wind,

you know, and hold on to this thing to go

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and, like, mount it up there.

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And long story short,

it was Slipstream Sports.

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That was, I believe it was Garmin

Slipstream at the time.

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The name of the team.

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And, they were based out of Boulder,

which was an hour south of us,

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and they booked 100 hours in the wind

tunnel that year.

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And that's how I got connected.

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back in dead days,

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my very first,

wind kind of testing was in East Germany.

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I was just 18 years old, like,

maybe a year before the wall came down

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and they used,

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this stuff.

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They made candles of paraffin. Paraffin?

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Is that the word they would, like?

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Heat it up

so it would become smoke and dead.

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Yeah.

It's like a boil based. It's an oil base.

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Yeah, right. Except you

you did the same thing.

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So you could, like, visually visualize

the air flow, it seems.

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Yes, yes, we did it.

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Except for the things that we had were,

they used that all the time for the gas

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dispersion model, because that's

what they would do to simulate the flow.

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They would take videos of like flow

coming out of exhaust from buildings

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and these buildings.

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By the way, there were a couple inches

tall type of thing.

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And they would, and

so you would look at the flow over there.

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And so we had these

like retrofitted things that were meant

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for the gas dispersion modeling,

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and we would put it over to the cyclists,

and you could see the flow over.

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And, you know, most of the time

we would like, run out of things

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to test with people. So we would be like,

look at the smoke.

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We could put it around and show

you like how it is and try to educate.

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you know,

how how the how aerodynamics where it.

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Yeah. Okay.

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So that was one of the things that I had

on my list, but you're kind of responsible

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or maybe fully responsible

for quite a few other innovations.

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And I had to lean on Christian Vande

Velde our Buddy Christian,

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and, he kind of went down a list.

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what other products or technology

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did you help

kind of bring into the world of cycling?

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that is pretty, pretty standard.

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Now, I have two that I know of the,

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the helmet, the Giro helmet that you made

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evidently pulled an all nighter

at training camp and, like, filed down

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the longtail to be like, oh,

the only Christian knows, story that's.

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Look, that is now,

you know, pretty much a norm.

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And, the old famous, what was it called?

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The bat suit or the squirrel suit?

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The time trial suit?

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Yeah.

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Tell us how you came up with these ideas.

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I mean,

it was over a decade and a half ago,

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but you were kind of,

like, on the right track, where now it's.

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It's just the norm.

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Yeah, it's funny,

I forgot about that story with Christian.

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So just to give a little bit

of background to this, so when I started

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working in the wind tunnel,

this is before I was hired, by the team,

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we were working with the team,

but they were working.

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They came to our wind tunnel and,

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I basically had free rein to go in

and run

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the wind tunnel

in the middle of the night,

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because remember

what kept the lights on it?

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That wind tunnel was doing all this

gas dispersion modeling.

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And so doing the cycling testing

was kind of an inconvenience to them,

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because they would have to change out

the balances and everything.

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And so it was like

it I'd have a key to the door.

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It was like 5:00 that the normal staff

would leave for the day.

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And I would go in to this warehouse

and I would have to turn the big breaker,

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switch down and turn on the turn on the

fan, and like, the wind would come up and,

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and I would be able

to study things in there.

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And I had like foam

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that I would sand down

with like sandpaper.

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I had like these foam cutters

that's like this hot wire.

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And I would cut like different shapes.

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And I was making things like,

that went, at the bottom of, the shoes,

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that went around the,

the cleats and like, the, the pedals.

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I was testing, like, different helmet,

shapes and stuff like that.

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And so I had

I was fortunate to have, like, a resource

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where I had endless amount of time

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in the middle of the night, like,

I could go all the way until 9 a.m.

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if I wanted to, with just running the wind

tunnel and testing things.

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And by the way, there was a lot of foam

that just kind of flew back into the sand

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because a lot of stuff

got lost during that time.

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but it was at a training camp

with Christian,

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I think, Christian had broken

his collarbone, in the Giro that year.

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We were trying to get him ready for it.

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So I fast forward.

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I was hired by the team away

from the wind tunnel.

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And this is like the first training camp

that I ever went to.

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So the team, like all the resources

were at the Giro still,

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and they were like, okay,

we need to put, Christian at altitude or,

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you know, somewhere where he can recover,

but also kind of get back into the swing

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of things and like,

hey, Robbie do you want to go,

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you know, drive the car behind them

and, like, support him and do things.

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And so I had so much time to watch

Christian ride his bike

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and, you know, see him in his TT position

and just be like, hey, we should

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we should be doing some narrow stuff

while we're here.

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And so I took his TT helmet.

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I went to the warehouse, the,

like, hardware

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store and, bought a hacksaw.

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got some of, I think

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it's called Fapose foam over in Spain.

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And,

cut off the tail of his TT helmet and,

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you know, sanded down, the, the,

it put on a glued on this big foam

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block and descended it down,

just like Arts and Craft project.

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And he would go ride the next day in that,

and he'd be like, how do I look?

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You know, and I just get some feedback.

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And that's how that kind of

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t helmet kind of came, came to place,

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it was that year

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that we were Pearl Izumi was a sponsor,

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and there was an intern at Pearl Izumi.

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They used to come up

and spend time in the wind

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tunnel with me in the middle of the night,

and we were trying to design a,

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new speed suit for the tour,

that we could do.

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And we went pretty overboard

with the wings underneath the,

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the armpits that year, to so much

that it kind of restricted

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the guys from putting their arms out

in certain positions.

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I think there's a picture of,

Ryder Hesjedal where

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his not really in his position

because he was, over 40 K.

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It was like pulling it

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back, quite a bit, but, yeah, that's,

that's how that's how those came about.

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So, there

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for, for my understanding

and our listeners and viewers,

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at the start, you said you were into

a data analyzes and computers.

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How did you make the transition to become

an aerodynamics expert, self-teaching.

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Or you did more studies, to cover

debt base

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or how how did you change from

being in an office at the computer

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to the wind tunnel and be, like, doing

practical work out there in the field?

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Yeah. Great question.

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I mean, obviously

aerodynamics was cycling

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was something that I knew a lot about

because I was a cyclist.

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Right.

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And we're all aware

of the effect of aerodynamics.

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I had studied fluid dynamics, in, in,

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in college and, and, and gone

through the engineering courses for that.

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those subjects, however,

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had never done wind tunnel testing,

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until we had built that, that when,

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when tunnel testing balance in Colorado

and it was

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I would say through hundreds of hours

of, of

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just kind of being able

to study aerodynamics

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as it relates to a cyclist, that it became

kind of a specialty, for me.

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and, you know, it became a lab.

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It became like,

you know, a lot of times the scientists

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like you go to a new lab and you're

studying in new concepts and stuff,

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and the same scientific principles

apply in the sense that you need to set up

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your your, your different tests

that you're going to do.

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How are you going to test?

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and then you, you know,

back into the science around that.

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and keep in mind that aerodynamics

is a pretty heavy computational, field.

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there is, computational fluid

dynamics has been around,

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and that's what we used in, you know,

the marathon project more recently?

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completely.

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We we barely did any wind tunnel testing,

and that's all computer simulation.

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And, and that's kind of

what I'm working on now,

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are some alternatives to aero testing,

because

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keep in mind, like wind tunnel testing,

as you guys know, is not, is not it's

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a big inconvenience to bring an athlete

to a wind tunnel, especially when you're

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trying to do altitude camps and you're

trying to do all kinds of other things.

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And that's what led to the bat box.

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Bobby, I don't know

if that was on the list by Christian.

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but I built, hand soldered together,

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dynamic pressure sensors

that were like pedal tubes, essentially

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that, where, on a circuit board

where the microprocessor

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there that measured the wind speed

and wind direction on a bike.

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So these things didn't exist.

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You see, these sensors are out there now.

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And this was back in 20 2012.

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I believe that it created the bat box

and the bat box, set on a bike.

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And the reason that I created that

created it for guys like Christian and,

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and David Millar

and all the guys on the slipstream team

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at the time, because it was so hard

to get them to a wind tunnel.

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And the reason I bring

that up, Jens, is because,

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you know, the wind tunnel

and the aerodynamics

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is one thing around it, but it's there's

so many challenges to being able

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to kind of study that on, on a cyclist

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and have it applied to specifically,

you know, our, our sport.

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In the period that you were

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starting to think like this

and you were coming up

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with these amazing ideas, a lot of

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it had to have been

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trial and error.

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Oh, yeah.

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:

so, you know,

we've talked about some things that are,

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:

you know, entrenched in, in cycling now,

but what are some of those things,

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maybe those projects that didn't quite

get off the ground

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that you were working on way back then?

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There had to have been some crazy idea

that you had that.

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Yeah,

I had gotten into the professional teams

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through being an expert in aerodynamics.

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However, because it was

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so logistically challenging

to do aerodynamic testing,

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there was so much limited time

that we actually did the aero testing.

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So I had to apply other things in life

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things around biomechanics,

things around physiology, things around

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nutrition and stuff, and kind of,

you know, be a sports scientist.

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and data science was, data scientist

was not even really a term at that time.

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Right.

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And, I was really keen on,

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being able to come up with some,

analytics platforms,

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and nobody was really doing

true analytics.

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And I wasn't even like something

that you heard.

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And I created a software application

called platypus

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and platypus was to, as far as I know,

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the first AI system that any pro team

used in the in the peloton.

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And this,

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this, application,

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was essentially

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I had to solve for the fact

that when you're like team Sky

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or your CSC, like when you guys

had the yellow jersey in the tour,

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like you always had the front most cover

position, right?

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And like you, you knew more

what was going on in the race,

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especially back

then when radio communication.

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I don't even know

if it's any better today,

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but like, it's always a problem, right?

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It's always a problem.

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The caravan

and but if you're like 20th car,

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like 15th car,

you have no idea what's going on.

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Like you really have no idea

what's going on because you,

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:

you you,

you're not in the race a lot of times.

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Like, I had the luxury of being able

to drive the car every once in a while

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in smaller races.

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Sometimes you just kind of go up there

like, oh,

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I thought they thought we had a rider back

here, you know,

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just because you're bored.

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and what,

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what I did was, I created this

application that was, gathering source

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that Twitter, was starting to be,

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:

become really popular, at this time.

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And I created this application

that was scraping Twitter data.

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And we basically would,

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gather all the information

that was mentioned about our riders.

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And then I would take it and I had this

truth like validity algorithm around it,

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and it would basically try

to indicate an and, an appropriate time,

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like, hey,

did we have a rider that flatted,

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:

so that they could hear it before or hey,

do we have riders that are

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:

hanging at the back of the peloton

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and don't look like

at the bottom of a climb,

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like they're starting to sag

or something like that?

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:

And, it gave the, the directors.

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:

Charly Wegelius

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was the one that was using it at the time,

gave them more information,

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and it didn't completely remove the,

the radio, but it was supplemental.

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But the challenge was

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the connectivity of the service,

382

:

like, for Wi-Fi and cellular networks

were such a challenge

383

:

that there was limited time

that I could send information to them.

384

:

And so I would have, like, preprogramed

like information

385

:

that would, be,

so I would only send like a signal of,

386

:

like the number one,

and that would tell them rider at the back

387

:

or that would tell them, like,

388

:

you know, we're all at the front or

something like that, because the smaller

389

:

the data packet, the easier

it was to send it to them at the time.

390

:

And so we had to we had to.

391

:

So now you have things like Starlink and

like all these different like satellite,

392

:

internet, services

393

:

that would probably make an application

like that super useful.

394

:

but that's something that like we tried

395

:

and was hard to not really take it.

396

:

And, and the riders got pretty frustrated,

I think, because I was

397

:

I was driving ahead of the race

to go to the hotel

398

:

where I could watch the TV too,

by the way, and be able

399

:

to also add information into

this and send it to them.

400

:

but instead of being on

the side of the road, like handing bottles

401

:

or like doing something

that was like more urgent,

402

:

maybe like that they, so

and so it didn't take off.

403

:

And I think, it, in today's age,

they have more of an opportunity.

404

:

But the,

cellular networks were the limiter there.

405

:

another example of something

that was a success

406

:

but almost wasn't a success.

407

:

if you look at those,

those stubby helmets that came out

408

:

and, it was 2011 that we introduced them,

409

:

we had put a big focus on,

trying to win the team time trial to tour.

410

:

We were like, we had never won

a stage in the tour with slipstream.

411

:

And we were like,

all right, team time trial.

412

:

Like nobody focuses on the team time

trial.

413

:

Let's go win that.

414

:

And we didn't take Johan Vansummeren.

415

:

And he had won Paris-Roubaix

to the tour that year.

416

:

And that was kind of

that was a pretty big deal

417

:

that we didn't make that decision,

you know, and we had taken,

418

:

it was we had taken some young riders

419

:

that, were kind of, people that even

the media was like, really?

420

:

This is going to be the team

we had to push off.

421

:

we had Christian, we had David Millar,

we had Dave Zabriskie.

422

:

So we had like a

pretty like, top hitter team, you know,

423

:

and we, so we bring these helmets there.

424

:

We had never used them yet, because

we're trying to keep them kind of secret.

425

:

And we,

426

:

I laugh about this

because now the ability to create, like,

427

:

prototypes is so much greater than it was

in:

428

:

But, like, we bring this to, the race,

429

:

and they had never really worn them

before, which is always a mistake.

430

:

Right.

431

:

But we also we're kind of up against

a timeline to, to bring them there.

432

:

And we put them on the riders to go

433

:

do like the, the pre ride the course.

434

:

Christian comes back to me

and he throws a helmet at me

435

:

and he goes, that helmet sucks.

I can't wear it like it.

436

:

The shell came disconnected from like the

the protective layer inside.

437

:

It was like going over his eyes

and he couldn't see.

438

:

And he goes,

just give me the other helmet.

439

:

for for the team time trial.

440

:

And, you know, keep in mind

this is like an hour,

441

:

hour and a half until, start time.

442

:

And, and I looked at him on the side.

443

:

And, he didn't know,

but we had sent the old helmets

444

:

back to the service course that morning,

so the old helmets weren't there.

445

:

Right?

446

:

So I go I go into the truck

and I don't tell them this

447

:

because I'm like,

I gotta go find a solution, right?

448

:

I can't go with them to him

with the problem.

449

:

And he's at this point, he's on them.

450

:

He's on the trainer,

like warming up with the rest of the team.

451

:

And he's in.

452

:

He's seen me walk by like a million times

and he's like, you got the other helmet?

453

:

And I'm like, And so I, I like

454

:

go into the truck, the mechanics truck,

they get some superglue.

455

:

Right.

And I'm trying to glue this thing on.

456

:

And then it's me and one of the,

this one years.

457

:

They're trying to like you know, hand

drive the thing.

458

:

Couldn't even find a fan.

459

:

And we're like, okay, cool.

460

:

We gotta go show them that we fixed it.

461

:

So we go to give it to them,

462

:

super glue and dry it.

463

:

So he puts it on, his eyes burn, and he's

just like crying inside this helmet.

464

:

He takes it off and now he's getting

a little irritated for for good.

465

:

For good reason. Right.

466

:

And and so he's like,

give me the old helmet.

467

:

And I'm like, So I go into the truck

and I'm like, okay, last chance.

468

:

He was a small helmet and we had a medium,

469

:

and I bring him the medium and I'm like,

hey, try this on.

470

:

This is probably a good idea.

471

:

And he puts it on.

472

:

He's like, oh yeah, I guess I'm a medium.

473

:

And that was like five minutes

before the start.

474

:

And they like roll off to the

to go to the start.

475

:

And I was driving third car that day.

476

:

So the team time trial

you can have three cars right.

477

:

At least used to be I don't know anymore.

478

:

But and we had had the plan

that Julian Dean

479

:

was going to pull off

after the first kilometer.

480

:

that was just like the game plan.

481

:

Like he was just going to go hard

right out of the gate,

482

:

and he was going to pull off

and just drop, drop off.

483

:

It was a short time trial

thinking about like 20 K or something.

484

:

So like there was no issue

with the time limits.

485

:

So he pulls off in the third car.

486

:

That means that like I just follow Julian.

487

:

And so I have no idea

what's going on. The race.

488

:

I think I messed everything up

with Christian.

489

:

Like we put everything

into the whole season for this

490

:

and I have no radio contact.

491

:

I'm so far away from everybody

that I'm like,

492

:

I have no connectivity to anything,

so I don't know how we're doing.

493

:

I get, we get back,

I park the car, Christian pulls up to me

494

:

before I even get out of the car,

and he goes, never do that to me again.

495

:

It's like, you don't really know

what happened there, but I got it right.

496

:

It, so I get out

and see that we're winning, and,

497

:

we had to wait for, Sky to, to finish.

498

:

I think they were last off

or close to last off.

499

:

And we had beaten by one second

to win the team time trial.

500

:

And that was the team's first,

stage win in the tour.

501

:

Wow. That is pretty dramatic, right?

502

:

You couldn't

write a script more exciting than that.

503

:

That's really awesome.

504

:

So now that you talked

about all these ideas and how cycling

505

:

has changed in terms of aerodynamics,

for example, do you

506

:

where or how do you see the next

big jump or development?

507

:

I mean, for the last let's

say 5 to 8 years, maybe it was nutrition.

508

:

So what would be

the next field of development?

509

:

Tires maturing after tire again?

510

:

dynamics, the weight of the bikes,

the shape of the frames or

511

:

where can we go further and faster now?

512

:

Yeah.

513

:

You know, I truly believe that.

514

:

It's like the circle of life that as you

push one field, like nutrition,

515

:

it actually opens up areas with training

516

:

or opens up areas with bike position

and things that you didn't realize before.

517

:

And then it starts

circling back to the thing.

518

:

Oh, hey, we weren't actually doing that

the most optimal way.

519

:

I think training science with,

AI and analytics has has really big,

520

:

opportunity.

521

:

I don't think anybody's

truly doing it yet.

522

:

the platform, it's so hard to build a

platform to do it right, to provide value.

523

:

I think that, analytics,

advanced analytics with,

524

:

AI in all kinds of different fields

aerodynamics, training, nutrition,

525

:

you know, recovery,

526

:

like all that's

just going to start to really boom.

527

:

the equipment is so interesting

because it has to follow the,

528

:

the ceiling that the UCI gives it

from the regulations.

529

:

And that's changed so much. Right?

530

:

I mean, you look at how advanced

the bikes were back in:

531

:

and now that it's like

we went back in time for a number of years

532

:

with the way that the frames

look with the geometry and,

533

:

you look at like Bjarne Riis's bike,

right?

534

:

When, when he won the tour with that

535

:

Pinarello like,

that was really, really advanced stuff.

536

:

And, and now you see,

with the handlebar positions, like,

537

:

what's kind of coming from that

now that they're able

538

:

to have them at a specific angle.

539

:

And they weren't allowed to do that for,

for a number of years.

540

:

and so position is always going to evolve

because of that stuff.

541

:

the things that people don't

think about, like,

542

:

all the bearing frictions

and the different technology

543

:

that come out with that stuff

and how much of an impact

544

:

that really has over time

for, for, special pro cyclists.

545

:

so it doesn't really answer your question,

546

:

but I just think that it's going

to be discontinued to, to cycle through,

547

:

like all these different fields

and there'll be continuous, innovation.

548

:

So basically, you

549

:

see, we developed this just pulls up

550

:

and we focus on that, that pulls up

a third part, we focus back on that.

551

:

So it builds on top of each other.

552

:

Yeah exactly.

553

:

Yeah it does.

554

:

Yep I see I see.

555

:

And a lot of times

we think that like we're doing something

556

:

completely right

557

:

and we can't

558

:

can't get more advanced with training or

we can't get more advanced with nutrition.

559

:

But then we're like,

oh, wait, we've been doing it all wrong.

560

:

And something that we've done

in a different fuel kind of unlocks at.

561

:

Not very often

do we have someone like you,

562

:

who's always the smartest guy

in the room on our podcast.

563

:

So I want to pick your brain a little bit

about thermal regulation, about ice baths

564

:

recovery and heat acclimation

because again,

565

:

you, you know, Christian told me that

566

:

you guys were thinking about that

sort of stuff way back in the day.

567

:

So kind of

from when you started to where it is now.

568

:

What is your opinion of

of those two things in particular?

569

:

Yeah, yeah, I had a pretty it was a pretty

hot topic for a number of years.

570

:

Allen Lim, who has,

571

:

basically

had my job before me at slipstream,

572

:

he, he started, pushing

573

:

pretty heavily on that,

and with things like the ice fast,

574

:

and when I got to the team,

we were still considering,

575

:

different ways for thermal regulation,

especially for recovery.

576

:

However, just like any field,

like you find something that advances it,

577

:

like the ice fast, and you realize

how inconvenient the ice fast is and how,

578

:

like, hard it is to like, truly prepare,

especially when you have team time trials

579

:

and you got to have like eight ice baths

for people, right, for the entire team.

580

:

And, we, we looked into,

581

:

just, ice gloves or using slushies,

582

:

which is probably the most effective way

for cooling core body temperature.

583

:

because you actually lose most of the,

584

:

the heat and the energy

through, through your urine.

585

:

when it leaves your body and,

however, there were challenges with that

586

:

because when we put a slushy

machine in the, in the bus,

587

:

the bus heated

588

:

up because it was so hot

from running that thing inside the bus.

589

:

but we literally had, like,

a slushy machine that you would see,

590

:

unlike,

with an ice cream truck or something.

591

:

that was, that was on, on the bus.

592

:

And it was so hard to resource that,

that we only had like, one good one.

593

:

And so there was never one

on the second bus.

594

:

And stuff like that, all things that you

just think would be so easy to achieve.

595

:

And maybe in today's age, like there's,

you know, more ways to resource things.

596

:

but then we,

we started, freezing tights, when,

597

:

when Ryder won, Ryder Hesjedal won the,

598

:

Giro 2012, we were doing ice tights.

599

:

And so when he came on the bus

after a stage,

600

:

we would have, like,

leg warmers and arm warmers

601

:

that had been soaked in water

and then put it in a freezer.

602

:

And he would immediately

put that, on his legs and,

603

:

and it stripped down

and put all the stuff,

604

:

and it would lower his core body temperature and it would accelerate the recovery.

605

:

you know,

that's the recovery piece of it.

606

:

and it really, you know, he was somebody

that adopted that technology, too.

607

:

Like, it really takes a special individual

608

:

to have that commitment that after,

you know, you're absolutely cooked,

609

:

you're getting on the bus,

you're hungry, media wants to talk to you

610

:

and you're like, no, I gotta go

put my ice tights on for for five minutes.

611

:

And the, and he really committed

to that, that year.

612

:

Now, the,

613

:

in terms of,

like, thermoregulation, like,

614

:

we're getting a little bit outside,

a cycling, but,

615

:

you don't realize when you're drafting

like, it, it really affects

616

:

your thermoregulation because you don't

have the wind over you to cool you.

617

:

Right.

618

:

And there's a really there's a, there's

619

:

there's a lot to be said

about the position that you ride

620

:

and the clothing that you wear and,

how your body cools.

621

:

You look at, Pogacar.

622

:

during the Giro, he saw climbing.

623

:

He had tights on.

624

:

He had leg warmers on. Right.

625

:

And he, didn't have anything in his arms.

626

:

And he had something over his, his, neck.

627

:

And that's the way

his body cools effectively.

628

:

Right?

629

:

He was able to regulate is temperature

really effectively

630

:

at like, high intensities

with those colder temperatures.

631

:

By dressing like that,

I don't think we dress appropriately.

632

:

I think he's really on to something there.

633

:

And, a lot of times you see people

wearing arm warmers, not wearing

634

:

leg warmers the other way around,

but the legs are

635

:

the ones that are propelling

you up the mountain.

636

:

Right.

637

:

And, and so you have to

you have to manage, like, not just,

638

:

when you say core body temperature,

but you need, you need to address, like,

639

:

you know, the,

the different, muscles in the,

640

:

you know, the legs versus the arms

and the entire body in the face, like

641

:

how and how that effectively cools you.

642

:

and the the

643

:

thing that I wanted to bring up was,

when we did the 159 project,

644

:

in Vienna with Eliud Kipchoge

645

:

for the sub two hour marathon.

646

:

well, we didn't realize

647

:

we had created this,

648

:

like, incredible pacing formation

where it really it literally created

649

:

aerodynamic lift for him

when he was running,

650

:

when he was running behind these, runners

in front of him.

651

:

And so it was

it was sucking him along, essentially.

652

:

And what we didn't realize

so is that affected his ability to cool.

653

:

And we had to because we didn't

get the start time that we wanted

654

:

because they wanted to have when we're

going to have crowds and everything.

655

:

And we wanted to start at 5 a.m.

when it was going to be cooler,

656

:

we had to tell him

657

:

to use it as a tool

so that if he was overheating,

658

:

to get out of the pocket

of where he was running

659

:

so that he could, you know, maintain

his core body temperature.

660

:

And so drafting is a big, like a big thing

about,

661

:

regulating your, your temperature.

662

:

And of times you can't choose like,

if you're, if you're just holding on

663

:

for your life on the peloton and you're

drafting like you're going to draft,

664

:

but you may not understand that, like, I'm

actually overheating and I need more

665

:

wind on me or,

you know, something to be able

666

:

to manage that effort.

667

:

yeah, I think I lost a little bit

of what the question was,

668

:

but there's, there's lots of ways

to thermoregulation for sure.

669

:

I actually believe Formula

One cars have the same problem.

670

:

They keep getting told,

go out of the slipstream, get cold air

671

:

and go back in a slipstream

672

:

because the engine just exactly

as you said, the engines are overheating.

673

:

so now I have a question for you as well.

674

:

Also coming from formula one

675

:

and Formula

one decode basically was all the data

676

:

collected from their own team

and what they know about other teams.

677

:

They can say okay.

678

:

Yes, I believe his tires

going to last three and a half more laps,

679

:

and then he's going to do

refilling for 7.8 seconds.

680

:

We is a push now or stop now.

681

:

So now in cycling, do you believe

682

:

sophisticated or teams was a bigger budget

and having resources.

683

:

Do you have a computer program

like for example, Pogacar, his team,

684

:

do they have a computer program

that says, okay,

685

:

Jonas

Vingegaard can push 431W for 18.7 minutes

686

:

if we can hold the same wattage

for 19 minutes, we beat him.

687

:

You think we are down to that? That you.

688

:

No. Precisely.

689

:

Looking at the other rider,

his body weight, his position,

690

:

the energy output,

how he can beat him, in theory at least.

691

:

Do you think we have programs like that

in cycling in:

692

:

So right after the 1:59

I went back to working for teams.

693

:

what was Ineos Grenadiers then?

694

:

we created

695

:

software that was called

Competitor Awareness.

696

:

And we essentially we're trying

to get to that.

697

:

The challenge

is that you don't have the actual

698

:

formula

one that data is is more commonly shared.

699

:

so like the metrics on the engines

and like things like that

700

:

cycling,

it's really hard to get power data.

701

:

It's kind of it's becoming

like a little bit more commonplace.

702

:

So you have some data,

but you don't have like years

703

:

of training data

and some of it's on Strava.

704

:

We were scraping Strava data.

705

:

We were doing all kinds of stuff

on like the riders.

706

:

But then I wrote, code

that essentially was,

707

:

determining the watts

708

:

per kilogram for a rider going uphill,

for all the, competitors.

709

:

Because if you

710

:

going uphill is easier to try to calculate

711

:

because drafting has less than a fact,

because you're going at slower speeds.

712

:

And if you know where they're starting

from the video like of the race,

713

:

and you know what the pitch of the road

is because your riders actually

714

:

went on the same road, right?

715

:

So you actually have that GPS data,

or you had the

716

:

the data before you even went to the race,

and you had a rough estimate

717

:

of what the rider's weight is.

718

:

Then you can determine what the watts

per kilogram is,

719

:

because you can calculate it from that,

and then you can determine way over

720

:

what distances they can do that

on what pitches, they can do that, etc..

721

:

So I think that there are ways to come up

with kind of niche metrics,

722

:

but holistically

you're still kind of like,

723

:

not able to get all the data,

from specific riders.

724

:

Now, keep in mind, like riders change

teams though, exactly what have you.

725

:

My next question. Yes. Yeah. And ethically

726

:

that data belongs

727

:

to that with GDPR laws and everything.

728

:

That data belongs to the rider.

729

:

And however

you've developed models off of that rider.

730

:

And so like you have like

some pretty abstract things that,

731

:

you know

now like you've learned about that rider.

732

:

And so, you know,

you look at, Richard Carepaz

733

:

and you know, that was at Sky and then,

734

:

you know, went to EF

and they know everything about him,

735

:

you know, they know so much about him,

and not just

736

:

from what his power numbers are and stuff,

737

:

but they know how he performs in the cold,

even without having numbers on it.

738

:

They just know from experience, like,

739

:

oh, this is the type of climb

that he won't perform

740

:

well in, or this is this type of finish

that he's really going to perform well.

741

:

And because it's punchy

and he has a good sprint,

742

:

you know, things like that,

and you learn, a lot.

743

:

I have to say that,

like, cycling is unique in the sense that

744

:

everybody like,

745

:

thinks that it's so scientific.

746

:

There's so much art to it still.

747

:

Yeah, there's so much I mean, the,

748

:

the directors are so knowledgeable,

749

:

you know, they're bike

racers have done it for 20 years.

750

:

You know, they've known, like most guys

in the peloton, they still know of raced

751

:

with like, you can't you

you can supplement that.

752

:

But that knowledge is so, so important,

you know.

753

:

And that's why, you know,

a computer doesn't direct a race.

754

:

the director still does.

755

:

And it's why I, I will not take a software

engineers job.

756

:

Right. Because there's still the ability

757

:

you still have to be able

to direct the tools.

758

:

And so I think,

759

:

we get lost in the fact that we think

that, like, technology is free.

760

:

These guys have these, you know,

helmets on that, looks like spaceships.

761

:

with these bike that came out,

those Giro helmets this year and like,

762

:

they, these. Why?

763

:

What now? We're going to have windshields

in front of the bike and everything.

764

:

Everybody makes all these comments,

but they don't realize that

765

:

when you have a specialized tool like

that, you also need to use it effectively.

766

:

And those riders, like the engineers,

spent years developing it.

767

:

And then the riders,

768

:

are they have to learn how to use it

effectively.

769

:

I watch them riding them like they're

they're not using it.

770

:

Right. Like they're going to and they're

going to get big gains out of it.

771

:

But their heads up like half the time

because they're trying to use a helmet

772

:

that's specific for going fast

and then aero position at high speeds.

773

:

And they're using it on a Prologue course

that has 50 turns in it.

774

:

And they got to look up, you know.

775

:

And so it's like it's it's it's

hard to apply, the analytics that you're

776

:

talking about with like the competitor

awareness, like all that stuff.

777

:

There's so much art in it still,

778

:

man, I'm glad that you said that because,

779

:

you know, I look back at,

780

:

the data science that we had back when

we were racing and I wish we had more,

781

:

but then I'm looking at all

the data points

782

:

that are available to guys

and gals out there now.

783

:

And I kind of feel sorry for them

that there's so many data streams

784

:

that they have to think about,

because what you just said is, is spot on.

785

:

the the riders have to learn

how to use it and use it correctly.

786

:

And that takes a specific type of rider,

787

:

like you mentioned before, somebody

that's very open to that.

788

:

And if you're just piling this

on these younger

789

:

and younger pros because let's face it,

they're coming into the peloton

790

:

at 18 now and expected to be winning

pretty much right away.

791

:

You know, this gives such

like a neural load to these poor kids

792

:

that there's so many things

that they have to think about that

793

:

it just makes me a little bit nervous

that that

794

:

that artistic side

that you also mentioned, you know, that

795

:

that tactical side that, that, you know,

796

:

put it all on the line

side is going to be affected by,

797

:

by some of this data

because, you know, a rider,

798

:

you know,

certain riders are racers, right?

799

:

Like they go when they feel like going.

800

:

And we've seen that a lot with.

801

:

Yeah.

802

:

Philippe Gilbert

was one of the best examples of that.

803

:

today

Pogacar is is obviously a prime example.

804

:

but like if you're having that artistic

805

:

tactical flow being overridden

by a person in the car saying, oh,

806

:

this sensor says this

or this calculation says this, or it

807

:

is it taking the fun out of,

808

:

of our sport a little bit.

809

:

Yeah.

810

:

I mean, to be honest,

I think it makes it more exciting.

811

:

I think that we

812

:

continue to perfect our craft

813

:

by having these tools that are available.

814

:

And some of the tools also keep in mind,

make the sport safer, right?

815

:

Or have the potential

to make the sport safer.

816

:

and listen, I'm biased

817

:

because I'm on the data guy

and I want to continue

818

:

to innovate in the sport

and and see more of this stuff.

819

:

be developed.

820

:

But to me, it makes it more exciting

because there's there's more things

821

:

to talk about.

822

:

There's more things that the general

cyclist can, can connect with.

823

:

Because if they're if they're seeing data

talked about about,

824

:

say, aerodynamics or power to drag

or things like that,

825

:

there's an opportunity

for them to go and experience it,

826

:

you know, and there's,

because if it was just, about,

827

:

riding the tour de France, like,

they're not they're never going

828

:

to experience that unless, you know,

maybe they could go ride some of the,

829

:

some of the finishing climbs

and, and circuits and stuff like that.

830

:

But it's, it kind of to me, it adds

another level of excitement.

831

:

But keep in mind that there will always

should be

832

:

some art around it

and how you use those tools.

833

:

just like any, any,

834

:

any profession really.

835

:

so, no, we talked about too much science

836

:

in cycling, but you were also,

a part in a very scientific project

837

:

in, what track and field

are running the 1.59 project?

838

:

so you were part of a team

that, broke the two hour,

839

:

timeline, right?

840

:

And, but just for our viewers

to understand better,

841

:

in order to run a marathon in two hours

or less, that's 21.

842

:

Isn't our average?

843

:

Honestly, Bobby and me,

we struggled to keep that on a bike.

844

:

Average. Right, Bobby? 21.

845

:

You, us average for two hours.

846

:

I got gotta work hard to make it

so let's fill us in a little bit.

847

:

okay.

848

:

Did the three we're able to run a 2:05 a

2:04 beforehand, but what did you change?

849

:

How did you make it run

just a little bit faster.

850

:

Yeah.

851

:

So the previous

so the the world record was:

852

:

and Eliud Kipchoge

who is the runner who went under two.

853

:

he held that record.

854

:

And this the first attempt was in 2017.

855

:

Nike had decided to go for,

it was it's always been

856

:

a benchmark that people have been trying

to achieve, like the four minute mile.

857

:

And, when,

858

:

so Nike

859

:

decided to put together a project

in:

860

:

I was really fortunate to get invited

to be a part of that project.

861

:

There was five of us of the core

kind of scientists and engineers that,

862

:

that got to, to work on that.

863

:

we put together, like,

where are we going to do in the world?

864

:

what should the course look like?

865

:

What should the weather conditions be?

866

:

How what should the patient strategy be?

867

:

how can we run off of,

you know, with other pacers

868

:

and runners to help

with aerodynamics and drag the clothing?

869

:

Should they wear? She. Should they wear.

870

:

What's the nutrition

871

:

and all that same type of things

that you try to optimize for a bike race

872

:

only we got to choose

the location, the time. And

873

:

the location

874

:

at the time, that we wanted to do it.

875

:

So in 2017, we missed, it by 26 seconds.

876

:

So he finished.

877

:

Eliud finished

in, two hours and 25 seconds.

878

:

I never thought I was going to be part

of a project again.

879

:

like that

880

:

2019 rolls around.

881

:

I had left the sport of cycling

and running completely.

882

:

I was working on autonomous vehicles.

883

:

I never thought I was going to be back,

working on anything.

884

:

And, and endurance sports

885

:

and, I'm in the I'm in the nick.

886

:

You because there's sons born

is there for 67 days

887

:

and I'm just texting back and forth

with Dave Brailsford

888

:

because I'm like, trying

to trying to find an outlet there.

889

:

And like, I think the tour was

or nos during the Giro or something.

890

:

And we were talking about

I think it was with Froome when Froome,

891

:

won that that year and so long

892

:

story short,

the sky was going out as a sponsor

893

:

and they were looking for somebody

to buy the team.

894

:

David found somebody buy the team.

895

:

But it was Ineos with Jim Ratcliffe.

896

:

And Jim said, hey, I'll,

well buy the team.

897

:

But he also has to do this

running project.

898

:

Dave's like, yeah, sure,

but knew nothing about running.

899

:

So naturally

I was the only person that he knew that

900

:

was involved in anything like that was

is the exact same project, to be honest.

901

:

and he's like, Robbie, can you do this?

902

:

And I was like, absolutely.

903

:

If we go and, the

my involvement in the 159 challenge,

904

:

which was under different sponsorship

905

:

and leadership, then the breaking two

and Nike completely separate,

906

:

was completely different.

907

:

I was I was working on aerodynamics

908

:

in the weather for braking 2 in 2017.

909

:

I had to work on all the projects in 2019.

910

:

So I got to design the course,

got to choose the location,

911

:

got to put weather stations up

that were tracking the weather

912

:

so that we could have like really hyper

forecasting neural networks

913

:

that were, that are going to tell us

when we should run the race.

914

:

we had a, company

that we used for CFD analysis,

915

:

and we were running hundreds of hours

of CFD to try to find the aero formation

916

:

that we came up with that

I, alluded to earlier

917

:

and there was, one part of it

918

:

that not a lot of people

know is the, marathon course

919

:

is, 42.

920

:

it's it's, a marathon course.

921

:

It's 26.2 miles. Right.

922

:

And the, but to measure it,

they use this like, medieval,

923

:

device that's, called a Jones [Counter]

I call a medieval device.

924

:

But it's like this, this old device

that, sits on a bike and a, a course

925

:

measure will come and it takes over,

like, mechanically, to to measure this.

926

:

Yeah, I've seen them.

927

:

I have see them. Yeah. I have no idea.

What do you mean?

928

:

I have one in my garage right now

because I have the bike that we use

929

:

to measure this distance

and ratify the course

930

:

when I saw that and I was like, whoa,

wait a minute, here I go.

931

:

So what happens when you calibrate

this thing and it's off?

932

:

And it turns out that they know

that the tolerance of this thing is.

933

:

And the error this thing is, is 1m/km.

934

:

So and 42.195km,

935

:

you can have plus or -42m

when you measure the distance.

936

:

So what they do

is they add 42m on to the course.

937

:

But if you had already over

measured by 42, now you're up to 84m.

938

:

They could be wrong.

939

:

Not likely,

but it could be 12 of course, by 84m.

940

:

And when you're talking about 26 seconds

that we missed it last time,

941

:

I'm like, whoa, we need to find out

a better way to do this.

942

:

So most of my time, I spent 80% of my time

in Vienna that year,

943

:

and most of my time was

944

:

we were remapping the course

and we were using we, used lighter

945

:

to create a 3D mesh of,

the course that we wanted to use.

946

:

And then we had to find a way

947

:

to use differential GPS

to map that physically onto the road.

948

:

And then we would continue to learn

things.

949

:

And I had this, crew

that would go out with me,

950

:

that would remap it to the road,

every time that we would make

951

:

an update to it.

And literally they were like,

952

:

come on again,

because they didn't really understand,

953

:

why it was so important.

954

:

And I would sit over top of them

and look and, and make sure that they're

955

:

getting these differential GPS poles

exactly where they needed to be.

956

:

And they didn't.

They spoke German and I spoke English.

957

:

And like I thought they were my friends,

I don't think they really liked me.

958

:

But, at the end of the day,

we were able to get the course

959

:

to be 42.195km plus or -ten centimeters.

960

:

And so we were able to get spot on.

961

:

Quick.

962

:

A quick question, did you actually,

for the race, draw a line

963

:

where we had to run to make sure he takes

the precise shortest way? Yes.

964

:

It was somewhat of a mistake

965

:

because we created

what was kind of like a goat path for him,

966

:

and turns out if he had stepped

967

:

one foot on the line, he was disqualified.

968

:

And because of

969

:

that, we optimized

and he was doing circuits and,

970

:

we had optimized the course.

971

:

So, so perfect

that now that because he was worried

972

:

about putting a foot on the line,

he wasn't running exactly on it.

973

:

So he ran more than the, the course

distance because around the curves,

974

:

he was like off by a meter from what

the optimal line was.

975

:

And that added distance around,

so there are a lot of things

976

:

that like on the day you're like, wow,

it's not how I thought it was going to go.

977

:

But, we were able to,

we were able to get him on for two hours.

978

:

He did it in 1:59:40.2.

979

:

So what you're saying is,

and I think our viewers and our listeners

980

:

can deduct this themselves,

that you're actually

981

:

the reason why, Mr.

982

:

Kipchoge

broke this record in the first place.

983

:

But like you said, using lead,

our technology, you know, all the time

984

:

and effort that you put into this

on a specific circuit.

985

:

you know, back in 2023, Kelvin Kiptum

from Kenya,

986

:

ran the Chicago Marathon,

and he did it in

987

:

two hours and 35 seconds on, you know,

without all the bells and whistles.

988

:

That or the support that you gave the,

989

:

the of 159 challenge.

990

:

Right.

991

:

Are we going to see a marathoner

in the near future?

992

:

Go under two hours on a normal course?

993

:

Yeah, I hope so.

994

:

I hope,

I hope there are things that we learned,

995

:

that that helped that along, too,

because that was the whole point of it.

996

:

You know, we didn't just do it so that

we could be the first ones to do it.

997

:

We did it

so that we could move the sport forward.

998

:

And, it's just like when you saw

somebody break the four minute mile

999

:

than it all,

you know, more people started to do it.

:

00:54:51,788 --> 00:54:55,166

and hopefully there are some learnings

that were applied when,

:

00:54:55,166 --> 00:54:57,127

when he ran in Chicago.

:

00:54:57,127 --> 00:55:00,130

and, yeah,

:

00:55:00,255 --> 00:55:03,216

I, I'm sure that we will see it.

:

00:55:03,216 --> 00:55:04,134

it's just a matter of when.

:

00:55:06,219 --> 00:55:06,886

Okay.

:

00:55:06,886 --> 00:55:08,513

why?

:

00:55:08,513 --> 00:55:10,140

My last question.

:

00:55:10,140 --> 00:55:12,309

Short answer. You might just laugh.

:

00:55:12,309 --> 00:55:17,105

I am 52 years old now, and I was a

pretty good solid rider back in my days.

:

00:55:17,439 --> 00:55:22,277

If I have a comeback tomorrow,

can you make me top ten next year?

:

00:55:22,277 --> 00:55:23,528

Tour de France. Not.

:

00:55:23,528 --> 00:55:27,699

Not in ten days,

but next year, 365 days from now.

:

00:55:27,907 --> 00:55:30,660

Can you add me working together every day?

:

00:55:30,660 --> 00:55:33,079

Can you make me top

ten in the tour de France next year?

:

00:55:33,079 --> 00:55:34,581

Well, what do you say to that?

:

00:55:34,581 --> 00:55:37,584

Do you still have the ability to say, shut

up, legs?

:

00:55:37,625 --> 00:55:39,711

Hahaha, that's a good answer.

:

00:55:39,711 --> 00:55:42,005

I guess I can dig that somehow.

:

00:55:42,005 --> 00:55:42,881

I can dig it still.

:

00:55:42,881 --> 00:55:45,884

Oh yes my friend, that we can do it.

:

00:55:46,176 --> 00:55:47,344

Awesome.

:

00:55:47,344 --> 00:55:49,471

Already did. Was I say Jenzie?

:

00:55:49,471 --> 00:55:52,724

Now, I think we've figured out your secret

:

00:55:52,724 --> 00:55:55,727

for being such a great cyclist.

:

00:55:55,727 --> 00:55:59,439

Was you were always in the breakaway,

so you were always cooling yourself.

:

00:56:00,357 --> 00:56:01,608

Yeah, right.

:

00:56:01,608 --> 00:56:02,984

You know. So, yeah.

:

00:56:02,984 --> 00:56:06,321

Put that into your your training regimen

for for all the ends.

:

00:56:06,321 --> 00:56:09,532

Robbie because, yeah,

I don't know many people

:

00:56:09,532 --> 00:56:13,036

that, had is more breakaway

kilometers than all Jensie here.

:

00:56:13,036 --> 00:56:15,580

But now that now we know

that he was just trying to stay cool,

:

00:56:15,580 --> 00:56:16,873

he wasn't trying to win races.

:

00:56:16,873 --> 00:56:19,000

He knew what he's

doing to stay cool. Yeah.

:

00:56:20,627 --> 00:56:21,336

Hey, Robbie.

:

00:56:21,336 --> 00:56:23,254

Thanks a million for being our guest.

:

00:56:23,254 --> 00:56:25,131

It was super interesting.

:

00:56:25,131 --> 00:56:28,718

I actually did learn a lot of new things.

:

00:56:28,718 --> 00:56:31,596

I hope I understand

most of it, to be honest.

:

00:56:31,596 --> 00:56:34,933

But it was fantastic

to have you as our guest, Robbie.

:

00:56:34,933 --> 00:56:37,519

And hopefully

with some more future project,

:

00:56:37,519 --> 00:56:39,521

we can have you back as our guest.

:

00:56:39,521 --> 00:56:43,149

Maybe next year, same time

and we check on you.

:

00:56:43,441 --> 00:56:46,236

What are you up to in the years to come?

:

00:56:46,236 --> 00:56:48,279

Thanks a million for being our guest.

:

00:56:48,279 --> 00:56:49,948

Hey, thanks so much for having me, guys.

:

00:56:49,948 --> 00:56:52,367

This was fun.

:

00:56:52,367 --> 00:56:52,450

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