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Speaker 1: Michael, Tony, Chris Brother outside today. You know what I

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Speaker 1: miss about New York and big cities, of being able

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Speaker 1: to walk from one place to the other and feel

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Speaker 1: the weather forecast.

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Speaker 2: You always do this, what the Brits always do this?

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Speaker 2: Every British person always has to somehow talk about the weather.

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Speaker 1: Yeah, that's what we do.

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Speaker 2: I noticed even the F one commentators, many of them

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Speaker 2: are from the UK, and even during a broadcast, during

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Speaker 2: an actual race, they'll divert to talking about the weather.

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Speaker 2: There's a race happening right now. Talk about the race.

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Speaker 1: Yeah, but you know the way the clouds move and

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Speaker 1: the sun peaks through, and you know impending doom of rain.

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Speaker 1: How can you not be fascinated by it?

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Speaker 2: From My Heart Podcast one on one Studios and Sports

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Speaker 2: Illustrated Studios, this is choosing sides, Yes one, Wow, Tony,

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Speaker 2: will you tell me the truth for fucking once in

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Speaker 2: this thing? Okay, this episode has nothing to do with

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Speaker 2: F one. It's just a British thing, isn't it. Regardless

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Speaker 2: of the subject matter. You always will sneak in the weather.

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Speaker 1: Well, that is true. We will always find an excuse

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Speaker 1: to sneak in the weather. You will hopefully find off

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Speaker 1: to this episode that the weather has absolutely everything to

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Speaker 1: do with Formula One.

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Speaker 2: Actually, how so it has.

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Speaker 3: It has a pretty massive effect. Actually so, I'm Bernie Collins.

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Speaker 3: I am an ex head of race strategy for the

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Speaker 3: Aston Martin Formula one team. Before that, I was a

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Speaker 3: performance engineer with Jensen Button in twenty fourteen, so I've

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Speaker 3: been trackside in F one for around eight and a

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Speaker 3: half years.

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Speaker 4: I always been a fan of Whether my whole life,

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Speaker 4: so I'm just ecstatic to be on here.

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Speaker 1: This is Elizabeth Olmacha. She is a meteorologist specializing in

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Speaker 1: race and motor racing predictions, cool and in her free time. Michael,

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Speaker 1: she actually chases storms storm chaser. It has bed time.

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Speaker 4: I would say it would be more like a freelance

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Speaker 4: storm chaser. I do it on my free time, but

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Speaker 4: I highly don't recommend people doing it if they don't

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Speaker 4: understand what they're getting themselves into, because it can be

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Speaker 4: a very dangerous situation.

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Speaker 1: Just like driving a Formula one car. Leave it to

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Speaker 1: the experts. This is doctor Aaron Studwell.

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Speaker 5: President founder of race Weather.

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Speaker 1: A meteorologist specializing in motor sports, and a huge petrol

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Speaker 1: head himself.

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Speaker 5: Love the sport, love the racing, love racing in general,

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Speaker 5: and happy to provide a service to fans, teams media.

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Speaker 6: Are you also a storm chaser like Elizabeth?

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Speaker 5: When I lived in Oklahoma?

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Speaker 2: I did.

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Speaker 5: I've seen tornadoes in person, but yeah, I live on

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Speaker 5: the East coast of the US now, so it's not real.

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Speaker 5: If I'm here, I'm generally tropical storm chasing or hurricane chasing.

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Speaker 6: I didn't realize there were like different categories of storm chasers.

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Speaker 1: If there is one thing that fans love and hopeful

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Speaker 1: and drivers are terrified of is the unpredictable last minute

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Speaker 1: weather change. The effects of the weather on a circuit,

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Speaker 1: on the driver, on their performance, on the performance of

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Speaker 1: the car cannot be understated. It basically changes the whole game.

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Speaker 3: You're asking a driver to drive as close to the limit,

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Speaker 3: and we talk about the limit being the limit of grip.

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Speaker 3: So if you think of taking a corner really slowly,

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Speaker 3: that's easy. Anyone can do that. And then if you

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Speaker 3: go up in like ten kilometers an hour, you know

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Speaker 3: every time you do the corner, there will be a

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Speaker 3: point where the car no longer makes the corner. The

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Speaker 3: drivers are working out where that point is, Like how

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Speaker 3: fast can you go around that corner before the car

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Speaker 3: starts to slide? And if you get a gust of

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Speaker 3: wind one lap to the next, the car will be

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Speaker 3: theoretically able to do that corner at a slightly different speed.

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Speaker 3: If the temperature is a bit different, then the tires

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Speaker 3: will have a slightly different level of grip. So what

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Speaker 3: you're asking the driver do is predict that maximum limit

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Speaker 3: lap one lap, one lap. And I heard a really

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Speaker 3: interesting thing recent from Alonzo who said that every lap

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Speaker 3: of the reis the track is improven, and every lap

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Speaker 3: of the riis the car is getting lighter. So every

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Speaker 3: lap of the rest, the grip in that corner is

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Speaker 3: different than the weather plays a part in that. So

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Speaker 3: if you get a driver, you know, and that's where

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Speaker 3: we see drivers having a little off because there's been

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Speaker 3: a gust or whatever the case may be. And that's

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Speaker 3: why we hear so much of the READLYO where the

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Speaker 3: teams are telling them the winds picked up, or we

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Speaker 3: hear the driver asking the question because they can feel

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Speaker 3: the effect on the car and we're trying to keep

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Speaker 3: them ahead of the gear.

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Speaker 2: If we can any examples of.

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Speaker 1: That, Yeah, there's a very well known historical example of this,

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Speaker 1: which is the story of Nikki Lauda's accident. The late

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Speaker 1: Nikki Lauder's accident during the nineteen seventy six German compree.

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Speaker 7: All the top drivers are here at Novo Gring for

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Speaker 7: the European Grand Prix.

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Speaker 2: The Nuva rings what my girlfriend used to wear in

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Speaker 2: college so she wouldn't get pregnant.

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Speaker 6: I'm sorry, what what to quote?

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Speaker 7: Tony moving swiftly on the most dangerous of Grand Prix courses,

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Speaker 7: notorious among drivers.

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Speaker 6: It's a giant, giant circuit and Niki Lauda, one of

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Speaker 6: the greats. Before the race, he basically raised the flag

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Speaker 6: and he said, listen, I'm looking at this circuit and

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Speaker 6: safety measures are not in place. There's a crash on

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Speaker 6: the other side of the ring. It's gonna take you

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Speaker 6: too much time to get to those people like, this

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Speaker 6: is just not safe. And people people basically like laughed

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Speaker 6: him off, and the other drivers, yeah, we're like, uh,

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Speaker 6: we're good to race. Stop stopp being a scaredy cat.

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Speaker 6: There's even a vote among the drivers, and the drivers

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Speaker 6: voted him down. They voted to keep going in the race.

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Speaker 2: I know where this is going.

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Speaker 6: Then race day comes and it's raining.

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Speaker 2: Right. Do they ever stop for any type of weather? Yeah,

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Speaker 2: they do.

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Speaker 4: If it's too heavy in the downpour, then it will

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Speaker 4: affect their visibility, and that's usually when they away.

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Speaker 6: Even I think now they're like a little bit too

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Speaker 6: safe about it sometimes.

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Speaker 1: Yeah, some would argue, why do we have rain tires

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Speaker 1: and wet tires if we don't go racing when.

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Speaker 6: It's wet, right, They hardly, They hardly use the wet

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Speaker 6: tires because usually when it's when it's raining hard enough

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Speaker 6: to them use wet tires, they they don't let the

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Speaker 6: drivers race.

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Speaker 8: Which I will argue that I think now that we've

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Speaker 8: got the helmet coms and the driver's view, we might

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Speaker 8: understand what the drivers see and absolutely don't see, and

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Speaker 8: we might have more empathy of like, oh, yeah, you

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Speaker 8: actually can't go racing.

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Speaker 5: We see videos from the seventies and eighties and these

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Speaker 5: rooster tails and they're still out there racing in this

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Speaker 5: torrential rain. But we've lost so many drivers in these

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Speaker 5: kind of incidents. Were bad accidents that really just didn't

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Speaker 5: need to happen. So I think now there's an abundance

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Speaker 5: of caution where we're going to say and that's not

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Speaker 5: a negative or we're gonna say if you can't see

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Speaker 5: the car ahead of you, even when they're the red

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Speaker 5: the red light's blinking and they're regenerating the energy that

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Speaker 5: you know, it's not good for the driver, it's not

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Speaker 5: good for the sport.

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Speaker 6: So the terrible irony here, of course, is that on

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Speaker 6: race that Nicko Lauda didn't want.

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Speaker 2: A tempted to arrange a boycott of the race.

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Speaker 7: Exactly right, Niki Lauder lost control of his Ferrari on

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Speaker 7: a one hundred and fifty mile an hour curve.

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Speaker 6: He crashed horribly and was chopped in a burning car.

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Speaker 7: The race was restarted, but for Louder it was a

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Speaker 7: race for life. Almost died while his fellow drivers jockeyed

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Speaker 7: for position. He was being rushed to an intensive care

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Speaker 7: unit with severe burns, fractures and lung damage. Surgeons pronounced

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Speaker 7: he was near to death and last rites were administered.

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Speaker 6: Six weeks later, with bandages all over his body.

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Speaker 7: Crowds of sightseers and hosts of newsmen gathered at the

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Speaker 7: Ferrari factory in Marnllo, Italy to welcome Nicki Lauder back

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Speaker 7: from the dead.

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Speaker 6: He's back in a racing car.

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Speaker 2: What the fuck?

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Speaker 7: Just forty days after doctors had given up hope and

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Speaker 7: a priest had knelted his bedside, the Austrian Ace climbed

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Speaker 7: back into the cockpit of his glaring red Ferrari.

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Speaker 2: I'm looking at images of the accident right here. And

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Speaker 2: it's tricky because he might have put in his head

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Speaker 2: that this was a dangerous place to ride. But also

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Speaker 2: that could have nothing to do with this is a

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Speaker 2: professional race car driver who's very good. That's too bad.

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Speaker 6: It does also bring us back a little bit too

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Speaker 6: manifesting destiny.

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Speaker 2: Yeah, and I don't want to buy into that, because

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Speaker 2: therefore you would never speak up out of a safety

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Speaker 2: concern because you'd be afraid.

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Speaker 1: And it's yeah, oh, it was just like he knew

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Speaker 1: what he was talking about.

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Speaker 2: Yeah, yeah, or it's just absolutely I like that. That's

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Speaker 2: very pragmatic. And I like that that he said, this

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Speaker 2: is a big circuit. People go fast here, You're not

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Speaker 2: gonnably to help me out.

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Speaker 1: There's a sentence that you might hear, which is rain

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Speaker 1: is the great equalizer Formula one. It shows the priss

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Speaker 1: of a lot of these drivers.

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Speaker 5: They're going to call it a great equalizer, but I

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Speaker 5: think some are more equal than others. There are drivers

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Speaker 5: who are better in the rain than others. I'm not

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Speaker 5: going to specifically name drivers, but I know there are

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Speaker 5: drivers who kind of dread driving in the rain, and

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Speaker 5: they're drivers who grew up driving in the rain.

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Speaker 1: Drivers who grew up and were born in countries like Belgium,

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Speaker 1: Austria and the UK where it rains a lot definitely

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Speaker 1: have an advantage. Some of the best in the rain

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Speaker 1: are the likes of Maxwistappan UIs, Hamilton, Lando Norris. What

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Speaker 1: do they all have in common? They all lived for

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Speaker 1: a long time, so there's pictures and videos of them

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Speaker 1: in go karts in the absolute right like aqua planning

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Speaker 1: to your heart's content. And I think we see this

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Speaker 1: on road cars as well. You can see when people

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Speaker 1: are used to driving in the rain. California rains for

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Speaker 1: a minute and it's a standstill in the city.

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Speaker 2: People know how to drive, Yeah, no idea. Go down

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Speaker 2: to the south and there's a little bit of a

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Speaker 2: frost and everyone's cars crashing all over the place.

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Speaker 9: Yeah.

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Speaker 1: And the absolute king of this skill is the legendary

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Speaker 1: Late Art and Center, also known as the rainmaster.

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Speaker 2: Cool, absolutely marvelous. Vella went round the outside of Louder

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Speaker 2: into the rough.

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Speaker 10: Ga and that was brave and skillful.

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Speaker 6: Just just to put that into numbers for you, because

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Speaker 6: that name is actually backed by by statistics. His overall

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Speaker 6: win rate in Formula one at Donsenna is twenty five

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Speaker 6: point three percent. That means he won about a quarter

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Speaker 6: of the races he started. But of those races, the

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Speaker 6: ones that were in the rain, he won more than

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Speaker 6: half of them fifty five percent.

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Speaker 2: Wow. Okay.

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Speaker 3: Wet conditions are often used as an example of when

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Speaker 3: actually the car is less important than the driver. So

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Speaker 3: actually the driver coming can make quite a big difference

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Speaker 3: because of his ability, let's say, to work in this

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Speaker 3: very changeable condition. But there are still some teams that

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Speaker 3: are better at management of those situations. So people always

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Speaker 3: think there's more risk and reward in those situations as well.

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Speaker 3: So some people really delight in the chaos of it all.

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Speaker 3: I always thought it was a bit panicked. So I

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Speaker 3: wasn't that sure that Reian was good for.

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Speaker 6: Us, because you were you were the one in the

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Speaker 6: chaos having to make the decisions. Yeah, exactly, give you

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Speaker 6: some order.

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Speaker 3: It's like, oh, Yeah, exactly, it's it's you know, but

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Speaker 3: for a for a lower team, a team lower down

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Speaker 3: the order, it is more likely to bring this avharc

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Speaker 3: result that doesn't otherwise happen. So that's why I think

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Speaker 3: it's a bit more of an equalizer.

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Speaker 2: So tell me about driving in the rain, what is okay?

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Speaker 2: How is that different?

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Speaker 1: Hey, it's going to affect the grip of the car

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Speaker 1: and how it goes round the track. To complicate things,

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Speaker 1: these f one circuits and tracks, as we've spoken about,

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Speaker 1: are massive, which means that there are massive areas where

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Speaker 1: puddles of water can start compiling together, which means you

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Speaker 1: can start ending up with aqua planning as well. It

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Speaker 1: also means that certain aspects of the track are going

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Speaker 1: to drive faster or slower. So when they start switching

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Speaker 1: out to the tires, you will hear them saying I

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Speaker 1: can see the sun on the second part of the track,

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Speaker 1: but it's still raining on the first part of the

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Speaker 1: track where you use the wet tires the dry tires.

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Speaker 1: That adds a layer of strategy, but also just complicated

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Speaker 1: to drive on the right tires, wrong tires, right track.

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Speaker 5: Even just where you have more peaks and valleys, not

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Speaker 5: a flat track, but say more in Europe where you're

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Speaker 5: going up a hill and you may have worked us

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Speaker 5: your winds at the top of the hill. It can

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Speaker 5: be across wind, it could be provide more downforce, it

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Speaker 5: could be a tailwind. Going down the street. You're gonna

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Speaker 5: the driver's gonna need to know that, both from a

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Speaker 5: handling condition, in from a speed condition.

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Speaker 1: And it also just affects visibility. Again when you think

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Speaker 1: about it, they're lying down in these cars. They're very

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Speaker 1: close to the ground. If you are in front, you

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Speaker 1: are in a great position. If you are in the back,

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Speaker 1: you're getting everyone's rain and water and backspash in your face. Yeah, yeah,

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Speaker 1: whitch go.

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Speaker 6: This is the start of the nineteen ninety eight Belgian GP.

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Speaker 5: Oh, this is kind of pulling.

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Speaker 10: This is the worst start for aprol rate.

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Speaker 5: But I have ever seen in the whole of my life.

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Speaker 2: I'm looking at this video and if you mean every

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Speaker 2: place crashed, I mean, first of all, there's one car

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Speaker 2: in the front who has good visibility, and then every

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Speaker 2: other car is just toe you can't see anything.

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Speaker 1: And we're laughing.

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Speaker 2: I know, it's not funny.

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Speaker 1: The danger on like, yeah, none of these cars have

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Speaker 1: wheels left. It's just it's a wheel race.

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Speaker 2: That's not funny. It's you know, in between my laughing,

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Speaker 2: I want to say, it's not funny, it's very entertaining.

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Speaker 2: I'm gonna look at the second one spree coming off

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Speaker 2: the front axle. The any visibility you have is just canceled.

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Speaker 2: This just doesn't look feasible. It doesn't look feasible, it

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Speaker 2: doesn't look possible.

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Speaker 1: This is where the gut instinct and driving right.

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Speaker 2: I would encourage anybody who's listening right now to just

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Speaker 2: go watch a helmet cam of any one of these

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Speaker 2: F one drivers on a dry situation. It seems chaotic

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Speaker 2: and unreasonable. And now in the rain, it's uh it certainly.

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Speaker 2: I mean, are they going slower in the rain? Absolutely

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Speaker 2: not me. When it rains in New York, I'm going faster.

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Speaker 10: Today, on the exit ramp from the Queensboro Bridge, comedian

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Speaker 10: Michael Costa, recklessly driving his Volvo station Wagon causes a

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Speaker 10: multi car pile up. Thankfully no one was injured, but

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Speaker 10: drivers stuck in the ensuing traffic We're not happy.

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Speaker 9: Do I like it?

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Speaker 5: No?

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Speaker 6: It's a lack of respective rules.

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Speaker 2: What are you gonna do?

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Speaker 10: Is. I'm Danielle Waxman for Fake NYC News quick Break

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Speaker 10: for ads and we'll be back before you can say aquaplaning.

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Speaker 2: So when you're talking about whether you're really just talking

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Speaker 2: about if it's raining or not wet or dry.

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Speaker 4: A lot of people think it's just rain and that

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Speaker 4: will affect the tracks, but it's not just rain.

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Speaker 1: For most of us. Minimal changes in temperature and small

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Speaker 1: shifts will mostly go unnoticed, like we don't know if

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Speaker 1: it's dropping temperatures, But in Formula one, even these smaller

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Speaker 1: increases or decreases, even if we're talking one or two

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Speaker 1: degree changes, actually has a pretty big impact on how

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Speaker 1: the different teams are going to approach a race or

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Speaker 1: a different session. When we're talking weather forecasting, we're not

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Speaker 1: talking what we see on the TV or even my

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Speaker 1: little British chit chat about the weather. It's actually we're

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Speaker 1: talking about all the different layers. So air temperature, track temperature,

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Speaker 1: even sometimes like the driver's temperature, how are you doing

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Speaker 1: inside of the cockpit? Are you okay?

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Speaker 4: It can be twenty to thirty degrees hotter inside the

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Speaker 4: cockpit than it is outside on a track. So if

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Speaker 4: it's stay it's ninety degrees. It can be like one

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Speaker 4: hundred and twenty inside and there is no air ventilation

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Speaker 4: or like ac you know that you can just crank up.

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Speaker 4: These drivers, they have to adapt to these different conditions.

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Speaker 1: The temperature inside of Formula one car during an actual

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Speaker 1: race will average to about one hundred and twenty two

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Speaker 1: degrees fanheight.

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Speaker 2: Wow, that's an average, and that's just inside the car.

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Speaker 2: That's yeah, inside the car. Wow. Okay.

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Speaker 5: For as much as weight as they lose any normal race,

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Speaker 5: they'd probably lose even more if it's you know you

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Speaker 5: talk about widely erase Jetta at night, Well, it's going

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Speaker 5: to be ninety five degrees during the day. Jet is

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Speaker 5: actually a humid environment because it's right next to the water.

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Speaker 5: So that's going to be both of the crew and

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Speaker 5: the driver. It's going to be just depleting and you're

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Speaker 5: going to have We've seen races where drivers have just

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Speaker 5: got got out of the car and just kind of

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Speaker 5: flopped against the car, their helmet at their side, just

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Speaker 5: drinking water or having water poured down their neck. They're

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Speaker 5: so busy it's dark here, fading with.

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Speaker 6: Flow blood pressure and just passing out in the car.

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Speaker 1: So for example, during this year is Qatar Grand Prix.

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Speaker 1: We had a combination of heat and humidity, which meant

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Speaker 1: that it was absolutely unbearable for the drivers.

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Speaker 9: Honestly, yeah, I fell ill by fifteen sixteen.

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Speaker 1: One driver is the band Okon who said that he

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Speaker 1: felt like he was vomiting in his helmet.

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Speaker 9: You know, I was throwing up in the car. And

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Speaker 9: I've managed to come down afterwards, tried to really focus

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Speaker 9: on what I had to do, and I've managed to

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Speaker 9: get down the control.

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Speaker 1: But got so bad that many fans but also people

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Speaker 1: within the industry and the ecosystem were saying, this is

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Speaker 1: probably a bad time to be racing in such a rouson.

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Speaker 2: Once again, Michael Karsta brings it back to tennis. I mean,

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Speaker 2: humidity affects a tennis ball tremendously. I can only imagine

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Speaker 2: a fire burning machine with four wheels on it.

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Speaker 1: And fire burning machine in really incredible temperatures like we

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Speaker 1: had this year. I think it was like the Katar GP.

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Speaker 1: When we're talking about safety. The drivers were cracking open

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Speaker 1: their helmet visors so they could get air coming in.

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Speaker 9: That air that we get into the cockpit is just horrible,

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Speaker 9: you know, it's like I don't know a fire, you know,

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Speaker 9: going through the through the helmet.

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Speaker 1: One of the drivers describe cracking open their helmets so

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Speaker 1: they could get air. By the way, really dangerous. The

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Speaker 1: last thing you want to do with a helmet is

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Speaker 1: crack it open, because that's where something can go fly

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Speaker 1: right into your eye. But that was my only solution

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Speaker 1: to try and call down, which, by the way, it

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Speaker 1: did bring up a whole conversation which if we go

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Speaker 1: back to the logistics of Formula one, it did bring

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Speaker 1: back a conversation about the racing calendar and why are

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Speaker 1: we racing in Qatar at the time of the year

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Speaker 1: where it's actually really hot, which goes back to actually

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Speaker 1: the logistics of pulling off that F one race calendar

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Speaker 1: is really really really tricky.

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Speaker 9: Yeah, let's let's come back here in this humber, please

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Speaker 9: not October. Yeah, that was definitely a tough one.

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Speaker 2: Air temperature. How does that affect a car? My Volvo

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Speaker 2: runs like a tank no matter what temperature is.

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Speaker 11: Well, the cold is kind of the enemy of Formula

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Speaker 11: one cars because frankly, they don't often run in the cold.

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Speaker 1: This is Scott Mansel, and he's not only an X

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Speaker 1: racing driver, but he's also the founder of an immensely

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Speaker 1: popular Formula one YouTube channel called driver sixty one.

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Speaker 11: Most of the temperatures across the year and the season

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Speaker 11: are within a kind of fairly warm range, right, and

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Speaker 11: so the engineers and the teams are just designing the

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Speaker 11: cars to run in these temperatures. Of course, if they

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Speaker 11: wanted to, they wouldn't be as quick, but they could

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Speaker 11: get them to run at colder temperatures, but they're just

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Speaker 11: not typically designed to do that. So they have issues

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Speaker 11: with the engine temperatures, with blanking the radiator ducts off

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Speaker 11: so you don't have as much cold air rushing through

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Speaker 11: over the engine and through the radiators. But as you

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Speaker 11: say that, the main problem is the tires, and it's

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Speaker 11: as simple as the rubber just doesn't get warm enough

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Speaker 11: to then have that chemical reaction that bite into the

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Speaker 11: racing circuit, and so you just have less grip overall.

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Speaker 11: And typically when you have less grip, it's just more

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Speaker 11: difficult to drive, Like you know, if it was if

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Speaker 11: it rained and there were wet conditions on track, it's

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Speaker 11: more difficult for the drivers, and so that means you

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Speaker 11: have to be more careful on the brakes. The breaking

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Speaker 11: distances will be longer, the risk of locking a tire

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Speaker 11: rup will be will be higher, the cornering spears will

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Speaker 11: be lower, and you'll have to be more gentle and

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Speaker 11: more sensitive on the accelerator. But where it's really difficult,

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Speaker 11: and I think we saw this with Lando in Vegas,

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Speaker 11: is in the quicker corners, because when you're in like

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Speaker 11: a slower corner, the tire is gonna scrub across the

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Speaker 11: Circuit's gonna slide across the circuit in a fairly predictable way.

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Speaker 11: This is what you're looking for as a driver. You

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Speaker 11: want predictability. You want to be able to not be

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Speaker 11: reacting to the car, but predicting what about to happen.

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Speaker 1: So one of the paradoxes of Formula one cars is

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Speaker 1: they're both some parts of the car built to resist

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Speaker 1: just about anything and the other part if you're just

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Speaker 1: like bang it a little bit it or falls apart,

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Speaker 1: don't sneeze in it. And so the air temperature is

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Speaker 1: going to affect the performance of a Formula one engine,

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Speaker 1: for example, on tracks like the hotter Middle Eastern circuits.

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Speaker 1: This is actually a pretty big issue. In addition to

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Speaker 1: managing your tires, for example, the driver also needs to

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Speaker 1: manage the engine temperature because the last thing you want

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Speaker 1: is an engine that's overheated.

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Speaker 3: Engine failure.

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Speaker 2: Okay, engine radia.

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Speaker 1: So that was air temperature. Then let's talk a bit

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Speaker 1: about track temperature, because this is also where it gets

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Speaker 1: really interesting. So track temp can have a huge effect,

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Speaker 1: and mostly on the tires because obviously it's the tires

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Speaker 1: that are hitting the track. And so, as we discussed

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Speaker 1: in that tire episode, these Formula one tires are extremely picky,

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Speaker 1: meaning that they have a very very narrow window of

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Speaker 1: what is called the optimum performance of these tires.

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Speaker 5: It's almost like a Goldilocks saying, if it's too hot,

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Speaker 5: it's not great. If it's too cold, it's not great.

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Speaker 5: You get right in there eighteen to twenty three celsius.

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Speaker 5: Say you know sixty five to seventy five seventy seven

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Speaker 5: fahrenheit range, you're gonna have great tire performance because if

439
00:21:18,560 --> 00:21:21,480
Speaker 5: it's too cold, I always grip. If it's too hot,

440
00:21:22,040 --> 00:21:22,920
Speaker 5: I was grip to.

441
00:21:22,880 --> 00:21:26,280
Speaker 11: Go back with cold tires on a race circuit, not

442
00:21:26,440 --> 00:21:29,159
Speaker 11: too bad aside from the low grip in slow corners,

443
00:21:29,160 --> 00:21:32,439
Speaker 11: but in the quick corners where the cars loaded up

444
00:21:32,480 --> 00:21:36,280
Speaker 11: with quite a lot of air row it feels like

445
00:21:36,320 --> 00:21:38,800
Speaker 11: there's a lot of grip, and when the car slides,

446
00:21:39,119 --> 00:21:41,880
Speaker 11: when the tire just gives up and starts to slide

447
00:21:41,920 --> 00:21:44,800
Speaker 11: across the surface of the track, it happens very quickly,

448
00:21:45,160 --> 00:21:48,159
Speaker 11: and it's difficult for the drivers to predict that, and

449
00:21:48,200 --> 00:21:50,840
Speaker 11: so you remove some of that predictability. So if you

450
00:21:50,880 --> 00:21:53,520
Speaker 11: look at Lando from Vegas, the car looked all right

451
00:21:53,560 --> 00:21:55,760
Speaker 11: and then all of a sudden it let go, And

452
00:21:55,880 --> 00:21:58,199
Speaker 11: it doesn't matter how quick his reactions are, he's not

453
00:21:58,240 --> 00:22:00,840
Speaker 11: going to you know, catch that in his head into

454
00:22:00,880 --> 00:22:04,320
Speaker 11: the wall. A similar thing happened to me. I mean,

455
00:22:04,320 --> 00:22:08,080
Speaker 11: I've driven thirty something f one cars over my career,

456
00:22:08,640 --> 00:22:11,240
Speaker 11: and a lot of them actually have been in the UK.

457
00:22:12,000 --> 00:22:15,000
Speaker 11: As you know, it's pretty cold over here, and we

458
00:22:15,040 --> 00:22:18,240
Speaker 11: did some testing at a circuit called Donnington over here,

459
00:22:18,240 --> 00:22:21,520
Speaker 11: probably in autumn or early winter one year, and it was,

460
00:22:21,680 --> 00:22:24,000
Speaker 11: you know, it's five or six degrees, not too far

461
00:22:24,080 --> 00:22:27,480
Speaker 11: from the temperatures that we saw in Vegas. And I

462
00:22:27,560 --> 00:22:29,720
Speaker 11: experienced that and I went off as well. You know,

463
00:22:29,760 --> 00:22:31,359
Speaker 11: I didn't crash, but I went off as well. And

464
00:22:31,400 --> 00:22:34,479
Speaker 11: when it happens, it happens. Incredibly quickly.

465
00:22:34,520 --> 00:22:36,959
Speaker 1: It just goes too cold there get slippery and they

466
00:22:36,960 --> 00:22:38,960
Speaker 1: go all over the place. I know, grip on the

467
00:22:38,960 --> 00:22:42,240
Speaker 1: tires too hot and the degradation of the tires greatly accelerated.

468
00:22:42,280 --> 00:22:44,000
Speaker 1: It also means that the time might be sticking too

469
00:22:44,080 --> 00:22:46,480
Speaker 1: much and they can't go as fast as they want to.

470
00:22:46,680 --> 00:22:49,240
Speaker 5: And then there's something I've been around the sport for

471
00:22:49,400 --> 00:22:53,359
Speaker 5: twenty twenty five years. They from people I've talked to

472
00:22:53,880 --> 00:22:57,119
Speaker 5: both on the AI and the modeling and the track

473
00:22:57,240 --> 00:22:59,800
Speaker 5: people side, they don't have a good model.

474
00:23:00,440 --> 00:23:04,320
Speaker 3: The track temperature is actually pretty difficult to predect.

475
00:23:04,480 --> 00:23:08,760
Speaker 1: So the track temperature also evolves over a race as

476
00:23:08,760 --> 00:23:11,680
Speaker 1: the cars are heating that track up because the track

477
00:23:11,800 --> 00:23:13,800
Speaker 1: is bare and then you're throwing twenty cars on it

478
00:23:13,840 --> 00:23:16,760
Speaker 1: going really really fast, it's obviously going to effect the track.

479
00:23:17,359 --> 00:23:19,160
Speaker 1: And not only that, As we said previously, the tracks

480
00:23:19,160 --> 00:23:21,640
Speaker 1: are really wide, so the temperature of the track isn't

481
00:23:21,680 --> 00:23:24,560
Speaker 1: the same at all. Elements are all parts of the track,

482
00:23:24,640 --> 00:23:27,800
Speaker 1: so that's what's so a component. And if the track

483
00:23:27,880 --> 00:23:31,879
Speaker 1: temperature changes considerably during a race, the drivers have several

484
00:23:31,920 --> 00:23:35,120
Speaker 1: ways to actually deal with this. So one way is

485
00:23:35,520 --> 00:23:37,760
Speaker 1: thinking about how hard they want to push their tires.

486
00:23:38,280 --> 00:23:41,159
Speaker 1: They can alter their driving lines to suit the balance

487
00:23:41,200 --> 00:23:43,560
Speaker 1: of the car. They can adjust the differentials that that's

488
00:23:43,560 --> 00:23:45,920
Speaker 1: the amount of talk that transfers between the rear wheels

489
00:23:46,560 --> 00:23:49,239
Speaker 1: or the brake balance to the front aurea of the car.

490
00:23:49,280 --> 00:23:50,560
Speaker 1: So there's a bunch of things that they can play

491
00:23:50,560 --> 00:23:54,920
Speaker 1: around with as Formula One drivers. In addition to the drivers,

492
00:23:55,000 --> 00:23:57,520
Speaker 1: the mechanics can also play around with the different calling

493
00:23:57,560 --> 00:24:00,760
Speaker 1: configurations across a race. They can adjust the car set

494
00:24:00,840 --> 00:24:03,040
Speaker 1: up for different weather conditions. So all of that is

495
00:24:03,040 --> 00:24:04,920
Speaker 1: thought about in advance, and all of that is kind

496
00:24:04,960 --> 00:24:06,920
Speaker 1: of planned with all the different options available.

497
00:24:07,080 --> 00:24:11,720
Speaker 5: Atmospheric pressure barometric pressure can definitely impact engine performance, same

498
00:24:11,800 --> 00:24:16,879
Speaker 5: with humidity. Race performance can change your degrade based on

499
00:24:17,119 --> 00:24:20,360
Speaker 5: in handling crosswinds, tailwinds.

500
00:24:20,440 --> 00:24:23,639
Speaker 3: The wind has a massive effect. So when we think of,

501
00:24:24,080 --> 00:24:26,440
Speaker 3: you know, our description of the car in the wind tunnel,

502
00:24:26,840 --> 00:24:29,679
Speaker 3: the wind is common in the most ideal situation, like

503
00:24:29,800 --> 00:24:32,720
Speaker 3: straight out of the car, and that is how the

504
00:24:32,800 --> 00:24:35,840
Speaker 3: car is predominantly designed to work in terms of the

505
00:24:35,920 --> 00:24:38,960
Speaker 3: loading on the car. Now, obviously a lot of that

506
00:24:39,000 --> 00:24:42,520
Speaker 3: wind is generated by the car driving out two hundred

507
00:24:42,560 --> 00:24:46,199
Speaker 3: kilometers an hour, that is you know, the headwind, but

508
00:24:46,359 --> 00:24:50,440
Speaker 3: if the ambient condition goes against you, you've got the

509
00:24:50,480 --> 00:24:52,880
Speaker 3: wind of the car and the wind of ambience. You've

510
00:24:52,880 --> 00:24:56,280
Speaker 3: got like this additive effect. If you've got a tailwind,

511
00:24:56,400 --> 00:25:00,320
Speaker 3: you've got a subtraction. You've got the head wind of

512
00:25:00,320 --> 00:25:04,280
Speaker 3: the car minus the effect from the ambient wind. So

513
00:25:04,359 --> 00:25:09,080
Speaker 3: that's obviously less wind to work the car. And that's

514
00:25:09,359 --> 00:25:12,960
Speaker 3: why the wind is really important in terms of how

515
00:25:13,000 --> 00:25:15,440
Speaker 3: the car is operating. And you know, a side wind,

516
00:25:15,880 --> 00:25:18,159
Speaker 3: every you know, you can do the physics on it,

517
00:25:18,200 --> 00:25:20,879
Speaker 3: but like every you know, angle is then taken or

518
00:25:20,920 --> 00:25:24,840
Speaker 3: add into the perfect wind condition of the car.

519
00:25:25,320 --> 00:25:28,000
Speaker 5: Yeah, rain or dry, do you make a difference. But

520
00:25:28,080 --> 00:25:31,879
Speaker 5: even cloudy versus sunny with the same temperature and track temperatures.

521
00:25:32,560 --> 00:25:36,880
Speaker 5: So it's more than just one component. It's really the

522
00:25:36,920 --> 00:25:40,560
Speaker 5: full fledged what is the forecast from sun cover and

523
00:25:40,640 --> 00:25:43,600
Speaker 5: we'll call that incoming solar radiation and get real kind

524
00:25:43,640 --> 00:25:47,800
Speaker 5: of technical on that, to humidity, to bear measure pressure,

525
00:25:48,040 --> 00:25:50,879
Speaker 5: to you know, temperature, track temperature.

526
00:25:51,200 --> 00:25:52,119
Speaker 1: But there's a butt.

527
00:25:52,560 --> 00:25:53,400
Speaker 2: There's always a butt.

528
00:25:53,480 --> 00:25:54,200
Speaker 1: There's always about.

529
00:25:54,400 --> 00:25:56,760
Speaker 2: There is always but to.

530
00:25:56,800 --> 00:26:00,560
Speaker 1: Make things even more complicated, they are actually not allowed

531
00:26:00,800 --> 00:26:04,159
Speaker 1: to adjust the car settings between the qualifying that happens

532
00:26:04,160 --> 00:26:06,280
Speaker 1: on Saturday and the actual race.

533
00:26:06,119 --> 00:26:07,560
Speaker 2: That happens so interesting.

534
00:26:07,800 --> 00:26:12,240
Speaker 1: So if the forecasts shifts completely and drastically from the

535
00:26:12,280 --> 00:26:14,879
Speaker 1: Saturday to the Sunday, you are kind of stuck with

536
00:26:15,000 --> 00:26:17,200
Speaker 1: what you set up on the car on the Saturday

537
00:26:17,200 --> 00:26:19,680
Speaker 1: for the Sunday race. Maybe one of the things to

538
00:26:19,720 --> 00:26:23,800
Speaker 1: say about Formula one is it's always a game of compromise. Yeah,

539
00:26:23,840 --> 00:26:26,000
Speaker 1: all of this to say, and we can ponder about

540
00:26:26,000 --> 00:26:27,960
Speaker 1: the strategy behind this or that if we wanted to.

541
00:26:28,560 --> 00:26:30,720
Speaker 1: Being able to predict the weather during a Grand Prix

542
00:26:30,840 --> 00:26:34,920
Speaker 1: race is absolutely crucial to inform the strategy and inform

543
00:26:34,960 --> 00:26:37,920
Speaker 1: the drive on how to drive. But the reality is

544
00:26:37,920 --> 00:26:40,000
Speaker 1: it's really hard to predict because anything can happen.

545
00:26:40,400 --> 00:26:42,399
Speaker 2: I mean, is it that hard to predict? Like I

546
00:26:42,440 --> 00:26:44,119
Speaker 2: have an app on my phone that just tells me

547
00:26:44,160 --> 00:26:46,160
Speaker 2: what's going to be tomorrow at four pm. I can't

548
00:26:46,160 --> 00:26:48,560
Speaker 2: the team, principal whatever, just download it and then punch

549
00:26:48,600 --> 00:26:50,840
Speaker 2: in boom. Problem solved.

550
00:26:51,440 --> 00:26:55,480
Speaker 5: Well, I will believe me. I get enough screenshots of

551
00:26:55,520 --> 00:26:58,800
Speaker 5: apps during the week that I know people download the raps.

552
00:26:59,119 --> 00:27:03,200
Speaker 5: But when we start getting into finer tuned forecasts, if

553
00:27:03,200 --> 00:27:05,640
Speaker 5: you're in a commercial business, like where an app's gonna

554
00:27:05,640 --> 00:27:10,119
Speaker 5: come from. You're either taking direct model output and just

555
00:27:10,160 --> 00:27:13,760
Speaker 5: plugging it in. Maybe you're averaging it together, which you

556
00:27:13,880 --> 00:27:16,040
Speaker 5: average them together, you get a little better performance, but

557
00:27:16,160 --> 00:27:19,560
Speaker 5: you don't know the rain timing. If if I could

558
00:27:19,600 --> 00:27:22,960
Speaker 5: have average four of them together, models together, and then

559
00:27:23,440 --> 00:27:25,239
Speaker 5: once said the rain is gonna start at five, one

560
00:27:25,280 --> 00:27:27,000
Speaker 5: it's going to say it's gonna start at nine. One

561
00:27:27,040 --> 00:27:28,480
Speaker 5: says it's gonna start at one, and then once the

562
00:27:28,520 --> 00:27:30,480
Speaker 5: other one's gonna start at five pm, you average them

563
00:27:30,480 --> 00:27:32,720
Speaker 5: all together, it's going to rain all day. And that's

564
00:27:32,720 --> 00:27:36,960
Speaker 5: probably not the case. So when you have a meteorologist

565
00:27:37,000 --> 00:27:39,399
Speaker 5: on site, like f one does, they're looking at all

566
00:27:39,440 --> 00:27:42,960
Speaker 5: the models. They're probably running their own high resolution models

567
00:27:43,600 --> 00:27:46,840
Speaker 5: on their own in house. I want to watch the

568
00:27:47,000 --> 00:27:49,840
Speaker 5: radar come in. I know the geography in the area,

569
00:27:50,040 --> 00:27:53,480
Speaker 5: say something like the Red Bull Red Bull Ring and

570
00:27:53,520 --> 00:27:55,119
Speaker 5: where there are a lot of mountains in the area

571
00:27:56,200 --> 00:27:58,479
Speaker 5: that you can have rain coming to the area, but

572
00:27:58,520 --> 00:28:03,160
Speaker 5: the mountains break them up. Versus someplace like Austin, where

573
00:28:03,200 --> 00:28:07,760
Speaker 5: it's just flat. You could stand and see thirty miles

574
00:28:07,800 --> 00:28:10,359
Speaker 5: away that there's a storm over there. There's nothing to

575
00:28:10,400 --> 00:28:12,600
Speaker 5: break it up. But you're still going to want to

576
00:28:12,640 --> 00:28:15,679
Speaker 5: know the timing, how fast that storm's moving, Is it

577
00:28:15,720 --> 00:28:17,400
Speaker 5: getting weaker, is it getting stronger.

578
00:28:17,800 --> 00:28:20,399
Speaker 1: They want to know exactly what minute it's going to

579
00:28:20,400 --> 00:28:22,679
Speaker 1: stop raining, what part of the track the rain is

580
00:28:22,680 --> 00:28:25,280
Speaker 1: going to start, when it's going to stop, Is it

581
00:28:25,320 --> 00:28:28,160
Speaker 1: going to get worse or better? So to that end,

582
00:28:28,400 --> 00:28:31,760
Speaker 1: which is why I like this question or this pushback

583
00:28:32,119 --> 00:28:36,120
Speaker 1: to that end. Formula one has its own traveling weather service.

584
00:28:36,520 --> 00:28:37,840
Speaker 2: Of course they do.

585
00:28:38,240 --> 00:28:41,240
Speaker 1: Rather than looking at the big picture, it focuses on

586
00:28:41,280 --> 00:28:45,480
Speaker 1: the very very narrow patch of sky tracking storms, even

587
00:28:45,520 --> 00:28:49,280
Speaker 1: individual clouds when they're approaching the circuit.

588
00:28:49,320 --> 00:28:52,920
Speaker 2: You see what this is going to be boring cloud.

589
00:28:52,880 --> 00:28:55,760
Speaker 1: See where it's going. It's separated from its group.

590
00:28:56,600 --> 00:28:59,680
Speaker 3: The least reliable. It is protecting cloud cover, and the

591
00:29:00,080 --> 00:29:02,160
Speaker 3: cover has a massive effect on track temperature.

592
00:29:02,320 --> 00:29:04,000
Speaker 2: We do have more for you on this, but first

593
00:29:04,000 --> 00:29:05,840
Speaker 2: we've got to take a short break and we'll come back.

594
00:29:07,960 --> 00:29:08,840
Speaker 2: Mike check one.

595
00:29:08,880 --> 00:29:09,080
Speaker 5: Two.

596
00:29:09,240 --> 00:29:10,080
Speaker 2: Hey, we're back.

597
00:29:10,240 --> 00:29:13,880
Speaker 5: I could have scattered clouds or shadows coming across the

598
00:29:13,960 --> 00:29:17,840
Speaker 5: region across the track. Mons is probably the best example

599
00:29:18,280 --> 00:29:21,600
Speaker 5: where you start see shadows come across in areas and

600
00:29:21,680 --> 00:29:24,440
Speaker 5: now that track area is cooler by a couple of

601
00:29:24,520 --> 00:29:28,360
Speaker 5: degrees than anywhere else on the track. So you not

602
00:29:28,400 --> 00:29:31,520
Speaker 5: only have to mentally I think the drivers kind of

603
00:29:31,560 --> 00:29:35,640
Speaker 5: mentally know that. But yeah, you're going from a cool

604
00:29:35,760 --> 00:29:38,160
Speaker 5: to a hot to a cool. It could be up

605
00:29:38,160 --> 00:29:40,000
Speaker 5: in the you're going up in the mountains a little bit.

606
00:29:40,040 --> 00:29:44,400
Speaker 5: It's even at small elevation changes it can be marginally cooler.

607
00:29:45,920 --> 00:29:48,160
Speaker 5: And I'm talking you know, we talk about you know,

608
00:29:48,280 --> 00:29:52,360
Speaker 5: tens of a pounds of a psi here for tire pressure,

609
00:29:52,400 --> 00:29:56,680
Speaker 5: but we're talking tensive degree of temperature on the elevation

610
00:29:56,840 --> 00:29:58,760
Speaker 5: changes on high elevation change areas.

611
00:29:58,920 --> 00:30:01,720
Speaker 1: To that effect, they go around their own weather radar,

612
00:30:01,920 --> 00:30:04,720
Speaker 1: which they then assemble on site every single week. Back

613
00:30:04,720 --> 00:30:07,560
Speaker 1: to that logistics episode that we have. Nothing is just brought.

614
00:30:07,640 --> 00:30:08,320
Speaker 1: That's too easy.

615
00:30:08,400 --> 00:30:11,880
Speaker 5: Yeah, on the race weekend, they'll probably send two meteorologists

616
00:30:11,880 --> 00:30:14,240
Speaker 5: out want to kind of run and set up the radar.

617
00:30:14,720 --> 00:30:16,920
Speaker 5: They have what's called a field mill as well, which

618
00:30:16,960 --> 00:30:21,280
Speaker 5: will measure electrical charge in the air for a lighting potential.

619
00:30:21,480 --> 00:30:23,440
Speaker 1: So we've got the tools and the equipment and the

620
00:30:23,440 --> 00:30:26,200
Speaker 1: strategy around it. And here's the key thing. Each team

621
00:30:26,320 --> 00:30:29,680
Speaker 1: has their own people assigned to this. They're assigned to

622
00:30:29,800 --> 00:30:33,440
Speaker 1: track this specific data and make the strategic calls in

623
00:30:33,560 --> 00:30:37,080
Speaker 1: real time. But would you be surprised that, despite all

624
00:30:37,120 --> 00:30:40,400
Speaker 1: of this technology, how often the weatherman gets it wrong.

625
00:30:40,680 --> 00:30:42,640
Speaker 2: It's one of the best jobs weather man. You can

626
00:30:42,720 --> 00:30:44,160
Speaker 2: just be wrong all the time.

627
00:30:44,440 --> 00:30:46,880
Speaker 1: Yeah, and no one will bat and I live. Oh

628
00:30:46,920 --> 00:30:47,480
Speaker 1: it's difficult.

629
00:30:47,520 --> 00:30:51,200
Speaker 2: Yeah, it's like being a podcast host. Nobody really is

630
00:30:51,200 --> 00:30:53,040
Speaker 2: listening to you in the first place. You're fuld and laundry.

631
00:30:53,080 --> 00:30:55,200
Speaker 2: You're driving a truck where no one cares. No one cares.

632
00:30:55,360 --> 00:30:57,560
Speaker 1: I'm sure you've heard this where they will say to

633
00:30:57,600 --> 00:30:59,240
Speaker 1: the drive I think it's going to start raining, and

634
00:30:59,240 --> 00:31:02,960
Speaker 1: the drivers to talking about it's already raining, raining, or

635
00:31:03,000 --> 00:31:04,520
Speaker 1: you just say, hey, just stick your head out to

636
00:31:04,560 --> 00:31:06,320
Speaker 1: the pitwall for a second and see if it's actually

637
00:31:06,360 --> 00:31:09,360
Speaker 1: dry away outside. Especially when we go and race in

638
00:31:09,480 --> 00:31:14,760
Speaker 1: tropical destinations think Singapore, Malaysia, where the weather changes like

639
00:31:15,000 --> 00:31:16,280
Speaker 1: absolutely constantly.

640
00:31:16,480 --> 00:31:18,840
Speaker 4: I would say that the tracks I like to look

641
00:31:18,880 --> 00:31:22,800
Speaker 4: at are forecast for more the ones close to the coast,

642
00:31:23,280 --> 00:31:27,960
Speaker 4: because the weather can just change so rapidly, so it's

643
00:31:28,000 --> 00:31:32,320
Speaker 4: interesting to see what could happen, especially during hurricane season.

644
00:31:33,120 --> 00:31:36,200
Speaker 1: They've just got to be ready for any circumstance possible

645
00:31:36,240 --> 00:31:36,800
Speaker 1: and imaginement.

646
00:31:37,080 --> 00:31:39,640
Speaker 7: And look at the rain pouring down and when it

647
00:31:39,760 --> 00:31:42,920
Speaker 7: rains in Malaysia, believe me, it comes down not by

648
00:31:42,960 --> 00:31:45,760
Speaker 7: the bucket fall, but by the ocean full.

649
00:31:45,880 --> 00:31:47,560
Speaker 1: I know we've had a whole episode dedicated to the

650
00:31:47,640 --> 00:31:49,520
Speaker 1: high tech of Formula one and how it's always forward

651
00:31:49,560 --> 00:31:51,760
Speaker 1: thinking and pushing the boundaries. But once in a while

652
00:31:51,840 --> 00:31:55,640
Speaker 1: they will deploy some very low tech methods to track

653
00:31:55,680 --> 00:31:58,920
Speaker 1: the weather. One of them could be having scouts along

654
00:31:58,960 --> 00:32:02,080
Speaker 1: the racetrack with talkies to just let them know when

655
00:32:02,120 --> 00:32:02,880
Speaker 1: it's starting.

656
00:32:02,560 --> 00:32:05,200
Speaker 2: To rae I wet it's happening.

657
00:32:05,680 --> 00:32:07,480
Speaker 1: The other one is even funnier than this, which is

658
00:32:07,560 --> 00:32:09,520
Speaker 1: just looking at the crowds and the fans and figuring

659
00:32:09,560 --> 00:32:11,200
Speaker 1: out when they start putting up their umbrellas.

660
00:32:11,320 --> 00:32:12,040
Speaker 2: That's a great one.

661
00:32:12,400 --> 00:32:12,720
Speaker 1: Easy.

662
00:32:12,880 --> 00:32:13,120
Speaker 2: Yeah.

663
00:32:13,520 --> 00:32:15,120
Speaker 1: Another you know, not a source of data.

664
00:32:15,320 --> 00:32:17,280
Speaker 2: Someone's hat just flew off their head. It must be wind.

665
00:32:17,440 --> 00:32:18,000
Speaker 2: It's getting wind.

666
00:32:18,160 --> 00:32:21,280
Speaker 6: Yeah, I'm wondering. You're you're in your personal life. Where

667
00:32:21,400 --> 00:32:23,840
Speaker 6: where do you get your weather report? Do you just

668
00:32:23,920 --> 00:32:26,120
Speaker 6: go to like the weather channel or a weather app,

669
00:32:26,200 --> 00:32:28,560
Speaker 6: or do you like do you predict your own way?

670
00:32:29,880 --> 00:32:33,640
Speaker 4: I personally like to use my radar. I find that

671
00:32:33,760 --> 00:32:37,920
Speaker 4: one very more accurate than other weather app.

672
00:32:37,880 --> 00:32:39,960
Speaker 6: Do a lot of your like friends and family, Like,

673
00:32:40,040 --> 00:32:40,440
Speaker 6: do they.

674
00:32:40,320 --> 00:32:43,480
Speaker 4: All hit you up for all the time? Yes, all

675
00:32:43,520 --> 00:32:48,920
Speaker 4: the time? Sometimes though even like ask me, like about

676
00:32:48,960 --> 00:32:51,479
Speaker 4: what's the weather going to be like in these months?

677
00:32:51,480 --> 00:32:53,720
Speaker 4: And we can only we can barely see a week

678
00:32:53,720 --> 00:32:56,760
Speaker 4: ahead of us. I'm like, I don't think it's going

679
00:32:56,800 --> 00:32:58,760
Speaker 4: to be that accurate, but I would give it my

680
00:32:58,800 --> 00:32:59,280
Speaker 4: best shot.

681
00:32:59,640 --> 00:33:03,720
Speaker 6: Where where do you see the field of meteorology and

682
00:33:04,120 --> 00:33:09,800
Speaker 6: race weather prediction going? I mean, will you eventually just

683
00:33:09,800 --> 00:33:11,840
Speaker 6: just know what the weather is?

684
00:33:12,280 --> 00:33:14,080
Speaker 4: Hopefully Knox and I'll be out of a job.

685
00:33:14,400 --> 00:33:17,600
Speaker 5: What has been really interesting is the evolution of AI

686
00:33:18,120 --> 00:33:21,480
Speaker 5: in forecast models, where they're going back and taking all

687
00:33:21,520 --> 00:33:25,280
Speaker 5: the previous information and all the ground observations and upper

688
00:33:25,360 --> 00:33:28,400
Speaker 5: ere observations, and we'll say, okay, when have we seen

689
00:33:28,440 --> 00:33:32,040
Speaker 5: this pattern before, and we'll go through how that pattern evolve.

690
00:33:32,360 --> 00:33:35,160
Speaker 6: So you don't like a world in which like the

691
00:33:35,200 --> 00:33:40,320
Speaker 6: AIS and computers get so sophisticated that basically weather prediction

692
00:33:40,520 --> 00:33:45,440
Speaker 6: is solved, Like, that's not a world you envision, not.

693
00:33:46,040 --> 00:33:49,120
Speaker 5: In our lifetime. Now, Yeah, somebody I could write in say, hey,

694
00:33:49,160 --> 00:33:51,720
Speaker 5: write me up some good interview questions from a meteorologists

695
00:33:51,720 --> 00:33:56,200
Speaker 5: on racing. Well, but here you're using your insight and

696
00:33:56,240 --> 00:34:01,080
Speaker 5: your ialition and you're able to adapt your ushians to

697
00:34:01,200 --> 00:34:03,320
Speaker 5: my answers. So there's always going to be a need

698
00:34:03,800 --> 00:34:05,520
Speaker 5: to have humans in the chain.

699
00:34:05,880 --> 00:34:08,719
Speaker 6: Yeah, fair fair point there, and fair point you know

700
00:34:08,880 --> 00:34:09,520
Speaker 6: for the.

701
00:34:09,520 --> 00:34:12,560
Speaker 5: General person going to day to day if I want

702
00:34:12,560 --> 00:34:16,160
Speaker 5: to know whether to grab an umbrella, that's fine for

703
00:34:16,280 --> 00:34:20,880
Speaker 5: high resolution, high performance risks where that I've worked in

704
00:34:20,920 --> 00:34:26,320
Speaker 5: with both racing and commodity trading, both high dollar spends.

705
00:34:27,160 --> 00:34:29,919
Speaker 5: You want that accuracy, you want the human insight. As

706
00:34:29,920 --> 00:34:31,640
Speaker 5: a human, I'm a little biased.

707
00:34:31,520 --> 00:34:35,680
Speaker 6: But no, you know, I find that comforting less in

708
00:34:35,760 --> 00:34:37,759
Speaker 6: the sense of like being you know about your job,

709
00:34:37,840 --> 00:34:41,560
Speaker 6: that your your job security. Sorry, I mean I'm glad

710
00:34:41,640 --> 00:34:43,719
Speaker 6: for that as well, but more in the sense of

711
00:34:44,680 --> 00:34:46,319
Speaker 6: there's something a little like, I don't know if I

712
00:34:46,320 --> 00:34:49,960
Speaker 6: want to live in a world where the weather is predictable,

713
00:34:50,680 --> 00:34:53,799
Speaker 6: is you know, it's sort of like like that's it's

714
00:34:53,800 --> 00:34:54,600
Speaker 6: weird to imagine.

715
00:34:54,600 --> 00:34:57,120
Speaker 5: That is a very holistic. It's a very holistic view

716
00:34:57,160 --> 00:35:00,120
Speaker 5: of it. There's this broader view that takes in not

717
00:35:00,200 --> 00:35:06,600
Speaker 5: only the human element, engineering, pure science and melts them

718
00:35:06,640 --> 00:35:08,000
Speaker 5: all together into something we love.

719
00:35:08,680 --> 00:35:12,480
Speaker 1: To that end, Michael, any thoughts on meteorology, any strong

720
00:35:12,560 --> 00:35:13,960
Speaker 1: feelings about the weather.

721
00:35:14,320 --> 00:35:19,839
Speaker 2: I was surprisingly delighted to hear you talk about the

722
00:35:19,840 --> 00:35:21,959
Speaker 2: weather for so long. And I know that you kind

723
00:35:21,960 --> 00:35:26,000
Speaker 2: of genetically have to because you're British, but to my astonishment,

724
00:35:26,120 --> 00:35:27,120
Speaker 2: it was really interesting.

725
00:35:27,560 --> 00:35:29,719
Speaker 1: I'm glad to hear that. You know what, You've just

726
00:35:29,760 --> 00:35:32,640
Speaker 1: made my day? How to make it brit happy? Tell

727
00:35:32,640 --> 00:35:33,879
Speaker 1: them you enjoy the web.

728
00:35:34,920 --> 00:35:37,239
Speaker 2: I love all the high tech, high tech, high tech.

729
00:35:37,280 --> 00:35:39,560
Speaker 2: And then it's like, hey, stick here, Ralph, go over

730
00:35:39,560 --> 00:35:43,120
Speaker 2: there and are you wet? Debruh? Did your hat fell off? Okay,

731
00:35:43,280 --> 00:35:47,160
Speaker 2: we got a confirmation. And man, visually, when it rains

732
00:35:47,160 --> 00:35:49,200
Speaker 2: on an F one race, it is so fun to

733
00:35:49,239 --> 00:35:51,320
Speaker 2: look at. You can't believe they do it.

734
00:35:51,520 --> 00:35:53,640
Speaker 1: Less fun when you're an F one fun you're standing

735
00:35:53,640 --> 00:35:54,080
Speaker 1: in the crowd.

736
00:35:54,120 --> 00:35:54,600
Speaker 2: That's not me.

737
00:36:05,280 --> 00:36:09,560
Speaker 6: This has been Choosing Signs F one, a production of

738
00:36:09,600 --> 00:36:14,680
Speaker 6: Sports Illustrated Studios, iHeart Podcast and one oh one Studio Podcasts.

739
00:36:16,120 --> 00:36:19,400
Speaker 6: The show is hosted by Michael Costa and Tony Cowan Brown.

740
00:36:21,080 --> 00:36:24,640
Speaker 6: This episode was edited, scored, and sound designed by senior

741
00:36:24,719 --> 00:36:30,360
Speaker 6: producer Jojai may Thaddle. Scott Stone is the executive producer

742
00:36:30,640 --> 00:36:33,960
Speaker 6: and head of Audio, and Daniel Wexman is Director of

743
00:36:34,040 --> 00:36:38,320
Speaker 6: Podcast Development and production Manager at one o one Studios.

744
00:36:39,000 --> 00:36:43,279
Speaker 6: At iHeart Podcasts, Sean Titne is our executive producer, and

745
00:36:43,520 --> 00:36:46,839
Speaker 6: a special thank you to Michelle Newman, David Glasser, and

746
00:36:47,000 --> 00:36:51,080
Speaker 6: David Hootkin from one oh one Studios. For more shows

747
00:36:51,080 --> 00:36:55,520
Speaker 6: from iHeart Podcasts, go visit the iHeartRadio app, Apple Podcasts,

748
00:36:55,880 --> 00:37:01,840
Speaker 6: or wherever you get your podcasts. Whatever you do, don't

749
00:37:01,840 --> 00:37:06,319
Speaker 6: forget to rate us and tell your friends it really

750
00:37:06,360 --> 00:37:07,080
Speaker 6: does mean a lot.

751
00:37:19,320 --> 00:37:22,360
Speaker 1: Next week on Choosing Sides F one, we reach our climax.

752
00:37:22,400 --> 00:37:24,120
Speaker 1: So I can't believe I'm saying this. This is the

753
00:37:24,239 --> 00:37:28,160
Speaker 1: moment that you have all been waiting for, Right Michael,

754
00:37:28,360 --> 00:37:30,719
Speaker 1: you are going to reveal to us what kind of

755
00:37:30,840 --> 00:37:33,160
Speaker 1: Formula one fan you fashion yourself to be.

756
00:37:36,440 --> 00:37:38,920
Speaker 2: I can't believe this. I can't believe it's here. I'm

757
00:37:38,920 --> 00:37:43,880
Speaker 2: still reading the regulations manual. Okay, so maybe that's a

758
00:37:43,880 --> 00:37:47,359
Speaker 2: little bit of a hint. I have a lot to contemplate.

759
00:37:47,400 --> 00:37:49,960
Speaker 2: There's so many good episodes here for me to review

760
00:37:50,680 --> 00:37:54,319
Speaker 2: and listen again, and I'll make my decision, and it's

761
00:37:54,360 --> 00:37:56,399
Speaker 2: gonna be. It's not gonna let you down.

762
00:37:56,719 --> 00:37:59,200
Speaker 1: Do you think you're gonna pick one or do you

763
00:37:59,200 --> 00:38:03,480
Speaker 1: think you're fashioned yourself a multi fastening, multi faceted, or

764
00:38:03,560 --> 00:38:04,320
Speaker 1: multi hyphenate.

765
00:38:04,360 --> 00:38:06,920
Speaker 2: I'm gonna pick one because that's the only one I

766
00:38:07,080 --> 00:38:07,800
Speaker 2: give a shit about.

767
00:38:07,840 --> 00:38:08,160
Speaker 1: Okay,