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For more information about Cancer Research uk, their research, their breakthroughs, and how you can support them, visit cancerresearchuk.org restiscience this episode is brought to you by Indeed. Stop waiting around for the perfect candidate. Instead, use Indeed Sponsored Jobs to find the right people with the right skills fast. It's a simple way to make sure your listing is the first candidate. C According to Indeed data, Sponsored Jobs have four times more applicants than non sponsored jobs. So go build your dream team today with Indeed. Get a $75 sponsored job credit at Indeed.com podcast. Terms and conditions apply.

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B (4:04)

Okay, we're gonna get really basebally right now. I'm not sure much of a baseball viewer, but I think this is a good way to start.

A (4:12)

Hmm.

B (4:13)

Let me tell you a story. It begins in the mid-90s with, of all things, the Internet. On the Internet, people can nerd out with abandon. There are no restrictions. You're not going to bore anybody. They're not going to change the channel. On these little Usenet groups, people were investigating the statistics behind baseball players, and it was noticed that there was one player in particular whose name was Rob Deer, and he had this really weird stat, which was that he achieved half of the time what they called a tto, one of the three true outcomes. And that's this really big, pompous name for three things that can happen in a baseball game. And those three things are a strikeout, a walk, and a home run.

A (5:04)

Okay, look, I'm the British voice on this podcast, right? So I've played rounders, okay? I don't know if you played rounders. That's my impression. I think it's like a British president, British version of baseball, but essentially you're chucking a ball at somebody who's hitting a bat. They've got to hit it as far as they can and run around before they get out. That's essentially the rules.

B (5:27)

That's essentially it the pitcher throws the ball at the batter. And if it's a. If it's a good pitch, then. And the batter does not hit the ball, it's called a strike. And you only get three strikes and you're out, and you have to go and sit back in the dugout and the next batter comes up, and your whole team gets one out. After three outs, you know the next team is up at bat anyway. A walk occurs when the pitcher is throwing blue balls that aren't being hit and they're not considered good balls by the umpire. Okay, there's all kind of different definitions, and they change over time, but that's called a ball. If the pitcher throws the ball and it's just not where it should be for the batter to get a good hit on it, then that's called a ball. After four balls, the batter gets to walk. The batter gets to put down the bat and walk to first base. And a home run is when the batter is able to hit the ball and go all the way around all three bases back to home plate to score a run.

A (6:28)

So Rob Deer had this strange statistic that he would always end up with either a walk, a strikeout, or a home run.

B (6:37)

Yeah, well, not always, but half the time, which was really unusual because at the time, the league average was just a quarter of the time. So three quarters of the time, a player comes up to bat and they get something besides a. A home run, a walk, or a strikeout, they would get a single play, they'd get onto first base, a double play. There's something would happen that was arguably more exciting and athletic to watch. But this guy was managing to do these. These three true outcomes half the time. And they're considered true because they're just so pure. They only involve the pitcher, the catcher, and the batter. The rest of the defensive players are just like, ah, he struck out. Ah, he walked. Ah, he hit the ball out of the park and went all the way around. I didn't have to do anything.

A (7:22)

How was he doing it then? What was he doing that was different?

B (7:24)

Well, one theory was that the angle at which he was hitting the ball was better. So that led to what. What's been called the launch angle revolution. An idea of, hey, when you hit the baseball, try hitting it a little bit lower to give it more loft. Now, yes, that might lead to more strikeouts, but it also leads to more home runs. So as you can see, there was a bigger focus on the three true outcomes. Not only the athletic game, but the strategic game of sacrifice. Bunts and sacrifice flies and stealing bases and let's just try to slam it out of the park. Doing this was called doing a defensive shift. Okay. You took all your defensive players who were in their traditional spots and you said, oh, oh, okay, Michael Stevens is up to bat and according to all of our statistics, he's going to hit the ball somewhere over here. So we're going to do a shift. And the players all moved and, and it worked. And in a lot of ways, it may have made the game quite boring.

A (8:21)

Suddenly there's no one running anywhere.

B (8:23)

Exactly. I want to see players being tricky, I want to see bases being stolen. I want to see sacrifice bunts and flies. These things were like, beautiful.

A (8:34)

Even that last minute slide to the base as someone comes in the drama of it, that's kind of what you want.

B (8:40)

Exactly. Even if shifting the defense was optimal for like winning the game or controlling the outcome, it wasn't beautiful to watch. And it felt less like a competition of athleticism. Ultimately, not everyone, you know, felt bad about this, but it is a deep question, like, what's more interesting, a problem or a solution? Regardless of how you feel about it, defensive shifts powered by the statistical data coaches had was a game changer. So look at these, These stats in 2010, the number of times coaches had their players shift because they knew what to expect from the batter. Statistically, that happened 3,323 times in the 2010 season. But by 2017, it happened 33,218 times.

A (9:34)

Wow. Factor of 10.

B (9:35)

Amazing factor of 10. We're talking orders of an order of magnitude change. And this freaked people out because baseball ticket sales and viewership were dropping.

A (9:46)

I guess the part of it was that you, you stop looking at what's going on on the pitch and you start looking at the numbers themselves and look for the patterns that appear in the spreadsheets rather than in what you're seeing and watching. I saw Michael Lewis, who wrote the book Moneyball. I saw him event last year and he was talking about how there was one day he ended up at a team where they had really tried to optimize for these particular outcomes. And in the changing room, you know, doing his research. And as all of the tea came out of the shower, he was shocked at how fat they all were, basically how out of shape, how like squidgy around the edges. He was like, these guys do not look, I mean, they look like normal people. They do not look like professional athletes. And he was really shocked, shocked at this. But it was the kind of the the end logical point of the thing that you're saying, if you are not caring about athleticism, if you don't care how far somebody runs, you just care how well they can sort of whack it out of the stadium, how well they can, they can tune the angle that they're hitting the ball at, well, then it doesn't really matter if they're a bit squidgy around the edges.

B (11:00)

Here's something I've been thinking about a lot. I'm not a basketball watcher and I'm definitely not a basketball player, believe it or not. But in basketball, being really tall can give players pretty big advantages, right? Like Michael Jordan, extremely talented athlete, but even he can't dunk against a brick wall that's 20ft tall. So can we optimize just the bodies that we hire to make basketball something that's like solved? Pablo Torre wrote this article in 2011 for Sports Illustrated where he pointed out that if you are an American male between 20 and 40 and you're 7 foot tall or higher, there's a 17% chance that you're in the NBA. What? How many people in the United States are between the ages of 20 and 40 and are over seven foot tall? And he's like, there's only like 70 people. 70 people who fit that description. But there are 13 players over seven foot in the NBA. That's how he calculated this number.

A (12:07)

Incredible.

B (12:07)

And it, it led to some questions that like, oh, shoot, maybe basketball is going to reach a limit where coaches realize just get the tallest people, regardless of their even interest from around the world. And that's all you need to stop the really fun, amazing Air Jordan techniques. As it turns out, I don't think we're seeing that. Although it's true that, you know, finding the like super tall guy from China and bringing him to America to play on your team can help. It's still the case that the players in the middle in terms of height have the most ball time. And just breaking sprinting or long distance running, where it's like we've done it like any further and it's not even a human anymore. Like, we've reached the ends of human optimization and that's kind of the end of the sport. Like no more records can really be broken.

A (13:03)

You sort of get that in a natural way with swimming, right? Michael Phelps, who has this extraordinary body in the sense that he has quite short legs in comparison to his torso. And that's sort of what you want, right? That's what you need for swimming. You need extremely strong muscular upper body, your legs doesn't really matter so much. His, also his, his wingspan, as it were. He won the genetic lottery in the sense of having a body that is so perfectly tuned for optimizing his, his swimming effectiveness. I've really noticed this in the Olympics, for example, because you have the different, different types of competitions, have very, very, very different types of competitors. You know, you take somebody, a sprinter and compare it to a long distance runner and their frames are totally different. It's not just a fluke that are much chunkier, have much greater cross section of their muscle mass, and that the long distance runners are much leaner, much skinnier. Actually, if you work out the optimal shape for those different activities, that's what you end up getting, right. You end up sort of running the maths through of like energy consumption and weight to strength ratios, all of that stuff. And you end up basically describing the people who end up being the perfect competitors for that particular environment.

B (14:27)

Yeah, they wound up being the typical competitor shape. But then we can use math to be like, oh wait, we get the same answer. So let's push this further and let's find the exact absolute shape. Olympic records are being set at a slower and slower pace. There's this great paper, it's fantastic read that has estimated humanity's physiological frontier. And the authors make a pretty good case for the fact that world records are pretty much at 99% of their potential. And so all that's left, all that we can really expect as people who tune into the Olympics to see history being made is. Yeah, records being set, history being made. But we're talking about like improvements in records by about 0.05%. And you can see this in any Olympic sport. Look at the marathon, okay? In 1908, the world record for running a marathon was 2 hours, 55 minutes and 18 seconds. And then over the next 50 years, that record was beaten 22 times and people got 40 minutes faster. Over the next 50 years, it only dropped by 10 minutes, and since then by less than 4. And so we're getting down from like, whoa, you blew it out of the water, to oh my gosh, the gravity caused by the granite under that stadium gave you a microsecond advantage. And that's how a new record was set. The way the wind was blowing, the humidity of the air on that day, the air pressure on that day, because we've reached the limits of what human bones and, and muscles can do.

A (16:16)

I remember reading something about how the depth of the Olympic swimming pool ends up making a difference because of the rebound of the waves of the swimmers could end up causing. I mean, when you're down to that level, it is exactly, as you say, so subtle. The marginal gains are practically non existent.

B (16:34)

That's right. And, but, but 100 years ago there were still so many things we had to learn about nutrition and biomechanics in sports medicine that there were huge leaps and bounds to be made. And now we're getting down to what kind of swimsuit am I allowed to wear? Because that's going to mean the difference between setting a world record or not. And so so much of it now comes down to the rules and how we define the game really precisely. That's what determines the limits, the records and what to expect next.

A (17:08)

Tell you what I also like about that though, is that it's noticeable in the way that you describe it really in terms of like publicly coming together to view sports. This is actually quite a modern human invention. And maybe partly it's about the advent of television, the ability for us to be able to broadcast it to wide audiences, because certainly, of course, humans have always been interested in games. But exactly as you say, this, like, focus on sport and being able to optimize it to get better and better and better. That is a really recent thing, isn't it?

B (17:43)

Yeah, it is, it is. We're all able to like share data and collect data and analyze data so well nowadays that we can actually feel threatened by data ruining a sport.

A (17:55)

We've been so anti doping, understandably, anti steroids, et cetera. But, you know, there is a little bit of me that's like, maybe we should just create a sort of super Olympics where it's like anything is allowed. Right? You are allowed. I think you're allowed designer human babies. I'm joking, by the way. But even so, you're allowed to like genetically engineer your babies. You can give them any steroids, any growth hormones you want. Let's just see. Let's just see how far you can go. Yeah, I don't actually think that, by the way.

B (18:23)

You don't think that we should. Do you think that we will, though? Do you think we'll reach a point where we're like, I want to see more records broken, let's go ahead and allow more drugs, let's allow more genetic engineering. Because I want to see people high jump higher, I want to see people run faster. I think it's not going to be as cool as it sounds.

A (18:49)

Hang on a second. Lauren, our producer, has just sent a message in the chat, people have come up with exactly this idea. It's called the Enhanced Games. Controversial, understandably. They're going to be in May 2026 in Vegas. Of course it's going to be in Vegas. And they are going to allow extra performance enhancing drugs. Okay, so you're still not allowed to have cocaine, right? You're still not allowed to have heroin. So still some limits. Also, any drug that you take has to be FDA approved. But beyond that, knock yourself out, off you go.

B (19:22)

I mean it. Obviously it sounds like there could be some pretty unsafe things where people feel like they're now required to use drugs and techniques that have been banned for maybe rightful suspicion of danger. But it'll be interesting to see what they're able to accomplish. What they're going to run against is a problem where some of the more talented athletes don't want to put themselves through that and they're happy to not be enhanced. So you get more of like mid tier athletes who actually do the enhanced games and, and, but the enhancements don't get them up to the level of the naturally talented athletes. So you don't actually see the best of what's possible for a human.

A (20:11)

I think it taps into something else, which is a sort of central idea of this episode, which is the idea that when you have competing incentives for the individuals who are taking part, they're going to have to balance the incentive of winning with the incentive of their own health, perhaps in certain circumstances. And I think that, you know, for the games overall, it's like the incentives of creating something fun versus the incentives of winning as a team or as a, as a group or an individual. Anyway, it'll be interesting to see how it turns out. I strongly suspect they may not last that long.

B (20:46)

That's exactly how I feel. I think it's not going to be as cool as it sounds. I think that ultimately we're going to run against what Bernard Suits described as the definition of games. I love this quote. He said a game is a voluntary attempt to overcome unnecessary obstacles. And when you start removing the unnecessary obstacles and you say there's no obstacles, it's less fun. At the end of the day, a game is about unnecessary obstacles.

A (21:19)

Like that sentence was for you for that brief second.

B (21:21)

Yes, yes, yes. Yeah, Even this podcast is a game. I've got obstacles here. Like you have to speak in a normal way and if I, if I take a pause cause I forgot the word, then I'm losing the game. Right. But that is what makes all this stuff fun.

A (21:36)

I am going to give you a point score at the end, Michael. That's important for you to know that.

B (21:40)

And again, we're not there yet, but there are concerns that if we're not careful, we can figure out strategies that are so optimal that there's no reason a team wouldn't choose them. And we're going to have to change the rules to not allow the thing that helps you win but is boring.

A (21:57)

And that actually, I mean, that is precisely what happened in Formula one, right, with the introduction of aerodynamics.

B (22:04)

Yeah. Why is it called dirty air? Let's revisit this.

A (22:06)

Dirty air. Okay. So in the 1990s, this, this, this massive revolution, I worked as an aerodynamicist, by the way, in Formula one. This is like my sort of specialist subjects. This is all very close to my heart. This guy, Adrian Newey, he came in, he designed this car. It was phenomenal. I mean, it just blew everybody away because he had worked out that if you want the car to take cor corners at incredible high speeds, you need to stick it down to the road as much as you possibly can. And you can do that by essentially turning the car into an upside down airplane wing. The problem is that when you do that, if you are. If you are driving through clean air, right, nice and still, no one's gone before you, you get what's called laminar flow. You get this incredibly neat, slick streamlines that flow off your car, and then behind you, it's just a junky old mess. It's like this low pressure area. It's just turbulence all the place. Which means that as a car comes behind you, as a car tries to overtake you, in particular, the moment when you should really be at the. For the spectator anyway, this is like the most critical moment, the moment of an overtake where you have a faster car following a slower one. And they, you know, you want them to be able to take them, particularly on a corner, you want them to be able to have more grip, more. More ability to take them on a corner. But because these cars over from the 90s onwards were so perfectly optimized for aerodynamic performance, it meant that when you're following in this turbulent air, you can't get the same performance right. You can't get the same slick, laminar, streamlined flow over your car. And there are some analysis that show that these modern Formula One cars, their downforce drops somewhere between 20 and 60% depending on the track in the corner, when they're following a car in front of them.

B (23:58)

Oh, wow. Okay. So dirty Air refers not to pollution in the air, but the turbulence of it and turbulence of it. And we're now building Formula one cars that just can't achieve the potential that they're built for if the air's dirty, but the air's only dirty because the ones in front of them are also optimized.

A (24:16)

And this is. It's the opposite of Mario Kart. You know, Mario Kart, when you're behind, you get an advantage. That's the thing that makes it exciting. That's the thing that makes it just fun to play, fun to watch, fun to be around. But in Formula one, for many years, it was the opposite, where actually, if you were ahead, you had the advantage. What they have tried to do over the years is they've tried to sort of shake things up over and over again. So the regulators will bring in a whole new redesign of the car. They'll say, okay, get rid of all of the aerodynamic devices that you've previously had. You need to redesign brand new ones. They need to fit into this shape. They need to have these dimensions. Off you go. And then it becomes basically a race off the track, an aerodynamics race of who can optimize their aerodynamics the quickest. There was a big thing about a double diffuser, where you hide an aerodynamic device under the car to sort of stick it to the road and get around the regulations. Ross Braun did that and had a real era of dominance as a result of it. But again and again and again, you could. You know, there's only so many times that you can do this. So in 2022, they were like, this is. We've got to. We've got to do something here. So they had a massive overhaul. They redesigned the car so that it was the. The underneath the car where the main aerodynamic devices would be to try and mitigate this problem of. Of dirty air, they added these deflectors on the wheels that would allow. Not go back to the car behind them, but to go up in the air, sort of like a rooster tail. And it made a bit of a difference. It did make a bit of a difference, but, you know, it's like. It's. The incentives are wrong. The incentives for the. For the regulators is to make racing more exciting. The incentives for the individual team is to make it so that the guy behind can't get anywhere near you. So, you know, you constantly have this, like, this battle between the two. So this year, 2026, this is the first year where they have. They've effectively put in a boost button and the fans are, I don't know, divided. Should we say about this, where when you are following someone on a straight, the output of the electric engine is artificially limited for the leader. And if you are within one second, within one second of the car in front, you basically have literally a boost button where you get an extra oomph in order to try and flip this dynamic upside down.

B (26:26)

Wow, that's a bold change, isn't it?

A (26:31)

Isn't it? Yeah, we're good to see how it plays out. They've tried things like this before. They have drs, which is basically a little flap on the. On the. On the tail of the car that would flip up and reduce the drag. Drag reduction system. It's. I mean, it's sort of like a mushroom boost in. In Mario Kart. Right. So they. They have had those before using aerodynamic devices. That still remains, actually, the. The aerodynamics devices that they have on the cars now are not sort of static across the entire course of the track. They. They can. And when you're straight in a corner, et cetera, it is this. This constant battleground. And, you know, I said right at the very beginning that Formula one, it used to have. Wait, tell me your definition of games again.

B (27:13)

It was a voluntary attempt to overcome unnecessary obstacles.

A (27:19)

Yeah. And I think that, you know, there are. There is a certain group of people who follow racing and love it very dearly, who look back at the old days when you had so many more unnecessary obstacles. You know, you had, like, refueling, you had. There was one point where the drivers were using, like, an H pattern gearbox. You know, the engines would blow up. It was just like so many more things that would be thrown into the mix. And I think when you combine all of those things together, of course it's brilliant for the team, especially the ones who come up with this in the first place and race ahead of everybody else, they find this little tweak of an advantage. But there does come a point where the entire field is doing it, and all of a sudden it's like. It's just a chest kind of maybe takes away something of what made the sport fun in the first place.

B (28:07)

Yeah. So we have to bring in new rules. Like, the leader is limited, and it seems unfair at first until you look back at the definition of a game and you say we need unnecessary obstacles. And so you're right. It's a bummer. It's unnecessary, and yet we need those kinds of obstacles to keep it fun. We're going to limit the defensive shift in baseball because it just gave too much of an advantage to the defense, and it meant that we were getting too many of these three kind of boring outcomes. We want to see more small ball. We want to incentivize people doing the fun things that are exciting and thrilling to watch. So, yeah, it's happened in formula one, it's happening in baseball, a lot happening.

A (28:53)

In basketball in a, in a slightly different way. After the break, I, I think we should talk about the beautiful game, the, the game that thought that it was immune from being money, football, and maybe a few other examples of places where people have used science to their advantage to maybe make the game better, maybe make the game worse.

B (29:14)

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A (31:46)

Okay, we're back from the break and we are asking whether every sport is immune from this idea of mathematical and scientific optimization. Will anything escape? Michael?

B (31:57)

Yeah, I think some sports are more at risk of the predator of data. And I'm not alone in thinking this. Baseball is in a precarious position because in some ways it's a more simple game. When you talk about the three true outcomes, you're talking about three people. A pitcher, a batter, and a catcher. And when you think about baseball, there are only like 24 states who's on what base and how many outs are there. And that's, that's it. But in a game like American football, you've got billions of data points to build up all the possible states. Where is the ball? What down is it? What distance is required to get a new set of downs. You've got all these variables and you've not got a pitcher, a catcher, and a batter. You've got 11 people on each team and you don't even know what play one person is going to be secretly doing. So it's a lot harder to just be like, oh, a plus B equals C. Do C with baseball, it's like, okay, we've got 18 billion variables. What does that even equal? And then what is the other team secretly deciding they're going to be doing.

A (33:08)

At the same time, though? I mean, people certainly have tried to, to mathematize NFL. There's a group called Zebra Technologies, or probably Zebra. I imagine they're American. So let's, let's call them Zebra. And what they, what they do is they use player tracking data. So when players are in practice, they'll have little RFID tags on their shirts. But you can also do this where you have like a top down shot of a, of a field in play and then get people to go manually, say, okay, this player moved from square A21 to B20 or whatever. It might be incredibly boring work. But what you can do when you have all of that data and I'm talking, you know, you're sampling this sort of ten times a second, right? Over the course of not just a game, but a player's entire career, you can essentially get an AI model to learn the unique data footprint of a particular player, the way that they move, how fast they can run, how much force and energy they can put into the particular play that they're making. But then what you can do is basically run many, many, many millions of simulations of what might happen in the game. So this is essentially what they do. They sort of like create this kind of fantasy version of the game that may be coming up and simulate it 50 million times, try every possible combination of strategic choices, every different, you know, attack and so on, and come up with a probability map of what they expect to happen in the game. And I think this is the. This is sort the whole idea one step further. I mean, Moneyball originally was about finding undervalued players based on past performance, but this playbook simulation is about predicting the future performance of the future. Calls the different way that you're going to play the game going forwards. I don't know. Like, you're a big NFL fan, right? Does that ruin the joy for you or does it. Does it add to it?

B (35:05)

The idea is really exciting, but of course, you can imagine an end result where the coaches have this AI on a tablet, and they're able to use quantum computing to go through so many options that they know exactly what play to run. And all of us at home have the same app on our phones, and we go, oh, it's going to be a screen pass to the left, you know, and we all just know. And we start to just know so well. It just feels so automatic that we just don't really even need to have the games anymore. We can just have a computer simulate the whole season and we can go, oh, cool. And then people might still want to put bets on them. And suddenly American football becomes a slot machine. Right now we're not at that stage, but I think we won't get to that stage, though, because we will just keep changing the obstacles and adding new ones so that it doesn't become automatic. And that might mean that we'd make some decisions that seem kind of like fuddy duddy and boring. Like, no, you just. You cannot use quantum computers to calculate your next play. All right? Like. Like we could even Amish the whole thing and say no electricity is allowed. All right? No microphones, no RFDI chips.

A (36:11)

Like, you gotta stitch those players shirts.

B (36:15)

Yeah, exactly. You gotta weave the cloth. Yeah. I think that would be a very fun game to watch. I'm not against the optimization because I think that we always need our games to be subjected to the efforts to solve them. But at the same time we want to watch problems, not solutions.

A (36:38)

You know, I thought it was interesting how you said that. The idea itself is intriguing, right? The idea of like, can you do it? Is it possible? Is the scientific challenge of it. And I sort of feel the same way. There's been a lot of work of analyzing football, soccer, I'm talking about here, right? The real, the one true football. So although I have to tell you, actually my ex husband, who's still very good friend of mine, was a sports writer and we had a rule while we were together that he was only allowed to watch a maximum of eight hours of sport in a day when he wasn't working. This is in his free time and he would regularly break that rule so soon as we separated. I've gone on a football hiatus. I haven't watched even a single minute of football since then. So I'm slightly out the loop, right? So all of you listeners who are experts in football can, can write in and tell me all of the things I'm about to get wrong. Don't know anything about soccer. Do know a lot about maths though. And there's quite a lot of maths now going on in football. This really started with Ian Graham, who is this theoretical physicist, Cambridge theoretical physicist, who in 2012 joined Liverpool and set up this basically data analysis team where they were initially trying to Moneyball football, right? Try and find players who were undervalued. But what they did that was extremely clever was there was this idea floating around about looking at expected goals, calculating your probability of scoring a goal from a particular position on a pitch. And what that does is it separates out the actual result from the process itself. It kind of gives you more of a sense of how well the player is doing. Because whether you, you know, score or hit the post or the goal you managed to get to, it is. It often comes down to luck. But getting yourself into a position from which you can have an attempt on goal, that is something that's much more about skill. This idea of like mapping out from many, many thousands of games where goals are scored from and from which positions on the field you should try and take shots at goal. But he took it further, right? So what he was doing actually is not completely dissimilar to what has been done in NFL since. A full data picture of where every player is, is across the pitch and the way that they're moving and sampling this many times a second and then calculates the probability of a goal being scored in the next 15 seconds. Okay. But then crucially looks at the next decision that the player chooses to make, whether the player then chooses to pass the ball, move into a particular area, and whether or not that increases or decreases the probability of a goal being scored in the next 15 seconds. Okay, so it's all about like looking forwards. And suddenly when you do that, you have access to this whole new level of analysis for what makes a player good. You're no longer just looking at the number of goals they scored, the number of passes they completed. You care much more about what decisions did this player make that added value to the game rather than just what were the end kind of outcomes when he started doing this? He says in his book, he says that he realized that the scouts, the football scouts were like getting loads of stuff wrong. They were way too obsessed with the aesthetics of play. They cared a lot about people who looked really good, who looked kind of comfortable when they were handling the ball, who were like very athletic and moved really beautifully and they didn't care. Scouts didn't care about people who were totally effective but looked really awkward. Yeah, Joel Matip is an example. This guy was like, he was a free transfer, so he didn't even need to pay for him and he looked clumsy as hell. But the data demonstrated that he actually advanced the ball more effectively than almost any defender in Europe. So kind of Liverpool like went in and swept them up. So at this point, you know, this is sort of 20, 2014 or so, maybe a little bit further on. Liverpool has this like secret sauce. They've got this, this mathematical model of a way that a game unfolds that allows them to analyze players. They take themselves from this sort of. I don't know, maybe this is a little bit harsh. I'm sorry, Liverpool fans, but like this, this team of faded glory to right at the very top of the top of the league, it has definitely change the game now. Other teams have caught up. Brighton in particular are doing some amazing stuff at the moment with, with finding, you know, really incredible players that they pick up for absolutely nothing and then selling them on for. They've made genuinely millions and millions and millions, maybe even hundreds of millions by doing it. The thing is, is that this has definitely changed the game. So the first thing is that people don't take wild punts anymore. You used to get people from the halfway line and be like, oh, sod it, just, just whack it, like boot it down the pitch. May as well see if you can get a goal. Just doesn't happen anymore. You also don't really get Mavericks anymore. You know, you used to have people who would just be, who'd play in this very sort of unhinged way, right? Unpredictable, just kind of very bullish. You don't really get those as much anymore. There's still a few of them around. There's Cole Palmer at Chelsea who's still a bit of, a little bit of a maverick. Everyone could disagree with me. I don't. I mean, frankly, I wouldn't recognize him if I met him in the street. But my, my sports writer ex husband told me that Cole Palmer was a current maverick. That still exists. It has shown that there is this optimal way to play, right? So you don't get this same diversity in play that you perhaps had before. On the flip side, you know, it saved us from this monopoly. It means that it's not just like the rich teams buy the expensive players and that's it and they're up there and it's the end of it. Actually, you know, Brighton being an example of a team that can get really good players for nothing anymore. And I think you could also say that the standard of play has increased as well, right? You know, they're making fewer mistakes, the defenders are moving much smarter. But maybe that's part of the problem because maybe the mistakes are the things that makes it fun to watch in the first place.

B (42:52)

Yeah, I think they are. So I think the data analysis can make some things so automatic. It's not fun. But they also keep things really fresh. They, like you said, they help the smaller teams and they also give us new challenges to overcome.

A (43:09)

Maybe we just need different leagues, right? Maybe we just have. These are the leagues that are doing it as we have at the moment. And then you have the Enhanced Performance League and then you have the Amish League.

B (43:18)

I think at a certain point you can only optimize humans so much, especially in certain sports. Like you can tell a player, hey, this is what you should do in this circumstance. And they might still not do it because they'd rather do something fun and be a hero. And this isn't even by choice, right? There's this well known phenomenon known as action bias, where humans are psychologically biased to do something as opposed to do nothing. So when it comes to goalkeepers in football, right, when a penalty shot is taken, they've got to make a decision about, about what they're going to do because the ball comes so fast, what is it, like 11 or 12 meters away? That's it. It's kicked like super fast. They cannot wait and watch where it's going. So they need to decide, okay, am I going to stay right where I am in the middle? Am I going to dive left or dive right? And so in 2007, a group of psychologists analyzed what happened in hundreds of penalty kicks. They found that standing still allowed the goalkeeper to stop the ball about a third of the time.

A (44:26)

Time.

B (44:26)

But if they decided to dive left or right like before they even really knew what was going on, that dropped their chances to just 13%. Despite those statistics, goalkeepers still dive 94% of the time. Oh, because to not move. Looks like you're a lazy bones.

A (44:46)

Yeah. You've got however many thousands of people in the crowd shouting your name with probably swear words. That's right.

B (44:53)

And so if we come up with optimization strategies that look boring or lazy or disinterested, even if they are optimal and are better, that doesn't mean it's going to make for the story of a hero.

A (45:08)

Yeah, because that is it.

B (45:09)

Right.

A (45:09)

Ultimately, we are talking about stories that involve people and mapping the kind of coldness of statistics onto it might give you some advantages, but there's a limit, really. There is a limit because you're still talking about, you know, like genuine people in all of it.

B (45:24)

This. That's right. In fact, I thought about this a lot watching football lately. I think that there are some teams, especially the, the Chiefs a few years ago, who succeeded because they played really smartly. But it wasn't necessarily a jump up and scream and shout and have a lot of fun game. They would do things where I'm like, whoa, that was definitely the optimal, nerdy choice. Get out of bounds or, you know, don't score that point. You need to run the clock down. It was just smart. And they won. And they won a lot of games by like a point. But there weren't the big, deep, risky passes. There wasn't the what happens when humans test the limits of their skill. It was instead, what if we do exactly what mathematically gives us the most optimal chance of winning the game? And I appreciated that, but a lot of people didn't.

A (46:17)

There is something interesting in that, though, this idea of like testing the limits of what humans are able to do, which I think is the reason why most people are drawn to sports. I think there are other ways that you test the limits of what humans are able to do, though. There are sort of like optimization strategies, but just maybe not mathematical ones. So there's this story about, this is cricket story that I really love about reverse swing. I don't know if you've ever come across this. Do you know the rules of cricket?

B (46:42)

No, I don't. I mean, it's correct answer.

A (46:45)

No one does. There's far too many.

B (46:47)

DNA is like baseball. You've got a cricket bat. What's a reverse swing? Does that mean like swinging behind your bat?

A (46:54)

No. So this, the. The swing is all about the ball itself. Okay. So it is, is. It is, I think, the grandest of sports, actually. I Not really a sport fan, but I do love going to test cricket. It's really, really wonderful. There's something so, like, gloriously slow about it.

B (47:10)

Yeah. I've never been to a. A cricket match, but I used to live by the oval and I kept saying, I want to do this, I want to. I hear it's so chill.

A (47:18)

Oh, the oval can be nutshell. The oval can get pretty spicy as far as cricket goes. Yeah. But it's enormous, enormous fun. What happens when you are throwing a cricket ball? The cricket ball itself, you have this seam that's running down the middle. I'm doing the American version for you. Okay. So you have these two sides. It's very, very hard, this piece ball. And the amazing bowlers can do lots of very clever things with the ball in the way that they h. They hold it in their hands, the way that they spin it, and in particular, the way that they get it to bounce on the seam or otherwise. And the fact that you have a bounce before the batter hits it adds this whole layer of complication to cricket that you do not get in baseball. Because when it bounces, how predictable is its trajectory from that moment? Now, the thing is, is that also because of this seam, you can create this swing on the ball where it ends up sort of bending round. You're basically using aerodynamics to your advantage. It's like curling a ball, Right. In football, you are creating areas of laminar and turbulent flow on the ball that change its trajectory from being a straight line. Also with this bit. Now, reverse swing is something that the Pakistani cricketers worked out in the 1970s. It's sort of credited to this one particular cricketer called Sarfas Nawaz. And he realized that if you have your cricket ball and you absolutely brutalize one half of the ball, right, you smash it a bit, okay. You, like, mess it up until it is so rough.

B (48:54)

How do you mess it up? Do you get to do this?

A (48:56)

Great question.

B (48:57)

Or just while you play?

A (48:59)

No, no, because you're given the game while you play. Okay. So you could do it during the game if you just like Deliberately hit it against that side every single time. When you're bowling, there are cheekier ways to do it, too. And people have been accused of using all sorts of tactics to mess this up as time has gone on. The key point about this, though, is that if you do this where one side is roughed up to hell and the other side is slick as anything, you get something called reverse swing, which is where after the ball bounces, it bends in the opposite direction.

B (49:32)

Huh.

A (49:33)

And now when that happens, it is. It's like, what the hell just happened to that ball? Right? It's an aerodynamic trick, and it is. It's one that was found through trial and error. And that actually the mathematicians and aerodynamicists have spent many, many, many, many days, weeks, months, writing academic papers trying to work out how the hell this is even possible. But it's like you're making the ball do something that seems like it shouldn't work, and people get out, the batters get out like that when it happens. Happens. Okay, so for 20 years, right, the Pakistan, you go and play Pakistan, and they would do this, and it'd be like, what the hell is going on? They could not figure it out. Eventually, they. They worked out that what they were doing was roughing up one side of the ball. And this is the English and the Australian cricketers. They started accusing the Pakistanis of cheating. They accused them of, like, using bottle tops to scruff up the side. They accused them of, like, using their teeth to bite it. There's actually some fiddles, footage of one. One cricketer in 2010 literally biting the ball, right, like it was an apple trying to rough it up. The thing is, the British and the Australian teams, they. They, by this point, they knew that it was something to do with roughing up the ball on one side and keeping it smooth on the other. They knew that that was what was going on, but they couldn't replicate it as hard as they tried. They could not make the ball do this thing that the Pakistanis had worked out. And so instead they just frequently occurred. Accused the Pakistanis of cheating.

B (50:56)

Sure.

A (50:57)

This is, like, over and over again. They just couldn't do it. They even tried illicit tampering. They even tried to, like, do really tricky things to the ball to try and get it to do it. They just couldn't do it. But then what happened is they finally worked out. They finally worked out how to do it, and they had to do it by cheating. They worked out that they could get this reverse swing to work if they ate Murray miss Mints, right? Like, literally sweets. And then shined the ball using saliva. And the stickiness from this Murray Mint. Okay, so this is like proper ball tampering, right?

B (51:33)

Okay.

A (51:33)

But this is like the biggest scandal you can imagine because it's like the sugar in this mint is acting as this binding agent. It's keeping the saliva on the side. It's allowing the kind of artificial weight imbalance. That's what makes the ball kind of hoop around corners. And at that point, then that was like. That was genuine cheating. At that point, this starts to become banned. Okay.

B (51:55)

Because there was an existing rule against tampering with the ball in that way.

A (52:00)

You cannot tamper with the ball. Yeah. You can't be tampering with the ball. Yeah, absolutely. I mean, Murray Mints. That is. It's clever.

B (52:07)

What is a Murray Mint? Is that a kind of candy?

A (52:10)

Yes, a kind of candy. Exactly, exactly. It is, as they say, not cricket.

B (52:15)

Sticky spit on the ball.

A (52:17)

Sweet sticky spit. Exactly, exactly. So sweet sticky spit is. Our spit was still okay for a long time, right? You could still spit on the ball. Disgusting. But it did work to allow you to do reduce. To do reverse swing until Covid happened. And then now spit was not allowed. But here's the thing, okay? Basically, you can't really do reverse swing unless you get to mess with the ball. You can't really do it. You can't really naturally get this imbalance, this asymmetry in the two sides. And actually, you know what? Reverse swing's quite, quite fun. It is that example of where humans have pushed things to the absolute limits. Sure. It's like in an intellectual way. It's in a sort of like, harnessing the laws of physics to your advantage way, rather than athleticism or just, you know, like amazing tactical decisions on the. On the field. But I sort of think there is something quite sports like about it at the same time.

B (53:15)

Yeah, right.

A (53:16)

I should say that the ipl, which is this version of cricket where you can. They can make any rules they like. They've now unbanned saliva, so I think they agree. But actually, spit is good.

B (53:30)

So so much of it comes down to what is the spirit of the game, right? Like, do we want the cricket ball to be really unpredictable or not? And so much of it comes down to whether it feels fair, like whether it feels automatic. Right. If you're able to rough up the ball to the point where the batters just never have a chance, then the game stops being fun. And that's how I first felt about the tush push in American Football.

A (54:00)

Go on. What's this?

B (54:02)

This was pioneered by the Philadelphia Eagles, who figured out, you know, when you find yourself in a position where you only need to move the ball like a foot or just like one yard forward to get a whole new set of downs, what if we just got really, really heavy guys and we put some in front and some behind so when the quarterback gets the ball, we all just push forward, we fall forward, guys in the back push. And because we're the offense and we know the call, we know when the ball is going to get hyped, we'll have a split second advantage. We'll get momentum first and the defense won't be able to stop us. And they weren't. And this strategy was so effective that, as not an Eagles fan, I hated it because it felt like it could not be beaten, which meant it was automatic if the Eagles were in a fourth and one situation. They weren't. They were going to get a first down. And it was just like watching a big scrum of people slurp forward, and that was the end of it. It worked every time. And so a lot of people said we need to ban this move because it's just not fun. There's no competitive, gamified element. It's automatic what happens every time. And I think one of the Eagles coaches or someone even joked about how for a team that can do this tush push, there's no first and 10, it's first and nine. You only have to go nine yards that last yard. You just do the push that no one can beat. Lately, though, I've kind of changed my mind because other teams have tried it and they haven't been able to do it in the same way. Maybe because their players aren't heavy enough, maybe because there are ways to beat it. I think there was a moment where a player stayed outside of the scrum and, like, grab the ball from the outside. I think someone tried to just, like, lay down to stop it. And I think if there are ways around it, then what we're really looking at is a really creative challenge. And I can't wait to see the future of the move. But, right, if it's just going to always be automatic, then it's not a game anymore. I may as well watch people drop bricks off of buildings. Oh, look, it hit the ground again. It hit the ground again. Like, who cares?

A (56:26)

I think this is it, right? It's like they. You have different layers of competition. You have what's actually going on on the field, and then there's sort of like a meta competition and then maybe even another layer above that of like the regulators and the entire teams together. And I think that, I mean, what we've been talking about here is like people coming up with ideas, people coming up with ingenious inventions that allow them to circumvent what is at the base level and so of compete one level above. And I don't know, like, I'm not a sports fan, right? Like, I'm not somebody who follows sports religiously. There's something I quite like about the idea of coming up with an idea of a tush push or a reverse swing or like a really insanely complicated mathematical model that allows you to simulate these things and get an advantage. But I appreciate that it doesn't make what you're watching on the field as interesting, perhaps. Yeah, yeah.

B (57:16)

I think it's like a, it's like a game of whack a mole that must occur. Like, we should be encouraging people to figure out analytically and strategically things that will be almost unbeatable. But then maybe we do need to change the rules so that it continues to be competitive. So when it comes to Olympic records, like let's talk about the 100 meter dash. All right, here's another study that showed that the fastest possible 100 meter dash speed was estimated to be 9.44 seconds. Now that's only 0.14 seconds faster than Usain Bolt's current world record. But this is the estimated limit for human running speed. So what happens next? And I think that there's a fun option here and it's that we should start allowing people to run on all fours.

A (58:11)

Hey, look, it's a different optimization. Is it definitely not in the rules?

B (58:18)

It probably is against the rules. But even if it isn't, at the current moment, no one can run on all fours faster than Usain Bolt. There's a theory that with proper training, four legged running could very quickly become faster, because biomechanically it should good. There are other animals that run faster than humans, okay? Like the cheetah. All right? Now the cheetah does it by being. There's a lot of reasons the cheetah is fast, but look at this statistic. When a cheetah runs at top speed, it spins 70% of its time with at least one leg on the ground. And a leg on the ground means you're accelerating, you're pushing, you're applying force to your body against the earth. Usain Bolt, when he set the world record, he had a foot on the ground not 70% of the time, but 43% of the time. So most of the time both of his feet were off the ground. He was flying. Which looks cool and sounds cool, but when you're flying you are decelerating, you are losing speed. But once you get more legs. And XKCD did a great comic about like, here's, here's how you can go faster. The only winning option is to have more legs because then you get to have more force constantly being applied. You can always have a leg that's on the ground while the others are resetting. This is a person like crawling like an animal on the ground. We are in early days here. And look, here's a paper that is estimated that by the 2048 Olympics, if we dedicate ourselves to learning how to four leggedly run, it will become equally fast to run on two legs versus four as a top athlete. And every Olympics after the that all runners will run on four legs crawling around like an animal.

A (60:03)

It's the new tush push.

B (60:05)

It's the new tush push.

A (60:06)

It's the new tush push. It's the new reverse swing. By the way, I've just checked, while you were, while you were talking, I've got up the world athletics book. There is no specific rule that says you've got to run on two legs. I mean there's lane infringement. You've got to be careful about not infringing in your leg, which is only 1.22 meters wide. And you only finish when your torso crosses the line. Well, there's, I mean you sort of have an advantage if you've been.

B (60:27)

You're torso's ahead. Yeah, exactly. See, like the path has already been cleared for this future and I think that's what we need to embrace. Not the tradition of the game's rules or what's usually done, but instead the tradition of just the spirit of the competition.

A (60:43)

I'm gonna put that one in my predictions for the future. 20:48 Tush push of athletics. I'm okay with this. I'm okay with this. Who needs, who needs normal sports? We've got, we've got meta sports, we've got, we've got Amish football, we've got, we've got monkey running and we've got, you know, enhanced drugged up people in Las Vegas some. It's way more fun than the normal stuff.

B (61:10)

I know and I'm glad. I think we're going to be on the right side of history here. I think in the future, all running events will be done on four limbs and it'll be this huge sensation. Everyone's like, this is so weird. I can't believe it. Like what an invention. And people will show clips and they'll say 20 years ago Michael and Hannah predicted this. And I mean we didn't predict it. Other researchers said this first. But I believe them and I think that it is the point of sport is for us to do things like this and always be changing.

A (61:39)

Too right. Too right. Well, that is a wrap for this episode. Make sure that you are, you are following the rest of the science wherever you get your podcast. Also on YouTube where you can, you know, you can click clip this to play it back to yourself in 25 years time when we end up being proved to be right as ever. If you want to ask us a question or send us in anything you can do that, we might just answer it on Thursday's episode of Phil Notes. Send that into theresescienceolehanger.com See you next time.

B (62:18)

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A (62:38)

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C (62:51)

Hi there everybody. It's Dominic Sambrook here from the Rest Is History and Gordon Carrera from the Rest Is Classified. Now over the last month or so, the regime in the Islamic Republic of Iran has been pushed to the edge, having seen the largest protest for a generation rich ripping across the country. Tens of thousands of people have been killed by the Ayatollah's forces since the uprising began. And a lot of people outside Iran are asking, is this the beginning of the next Iranian revolution? And Goal Hanger is covering every element of this. On the Rest Is Classified. David and I have looked at the role of intelligence agencies in this conflict. With the Internet blackouts and so much unknown, we've been looking at whether spies are best placed to judge whether the regime is truly at risk of falling. Now on the Rest Is History. We have been looking at the origins of the Iranian regime at the 1979 Iranian Revolution, which saw the fall of the last shah and his replacement by the rule of the ayatollahs. Now, given that the last shah's son is being touted abroad as the man who might, just might, save Iran, you can't understand what is happening now without understanding what happened back then at the end of the 1970s. But it's not just our own two podcasts that are covering Iran. If you want to know whether Donald Trump's military buildup in the region means it's likely he's going to wade in and force regime change, here Alistair Campbell and Rory Stewart cover the latest developments in the Rest is Politics. And our dear friends at the Rest Is Money have been looking at the economic collapse, the corruption and the impact of the sanctions that have been eating away its social cohesion in Iran over recent years and have pushed so many people people onto the streets and on Empire. They've been looking at the similarities and differences between 1979 and today. How is it that a country that less than 50 years ago forced the Shah out of power is now seeing crowds chanting Long live the Shah. So whatever happens next to the people of Iran and to all those brave souls who've turned it on the streets to protest, stay tuned to Goal Hanger for all the context and the answers and the analysis that you need. Find the rest is history. The rest is classified empire. The rest is politics and the rest is money. Wherever you get your podcasts.