Why Your Brain Sees Patterns in Chaos

19 Jan 2026 · 46 min · 16 chapters

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The Rest Is Science - Episode Summary

Episode Title

Why Your Brain Sees Patterns in Chaos

Podcast Hosts: Professor Hannah Fry & Michael Stevens (Vsauce) Episode Description: This episode explores the concept of randomness and whether it is a fundamental property of the universe or simply a label for our ignorance. Through various examples, the hosts unravel the complex interplay between chaos, patterns, and human perception.

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Key Themes and Discussions

Understanding Randomness

  • Definition of Randomness:
  • Randomness is described as a property of unpredictability, lacking identifiable patterns.
  • The hosts explore the perception that randomness signifies a lack of knowledge rather than an inherent quality of an event.
  • Examples of Randomness:
  • The discussion introduces various scenarios, such as coin tosses and scratch cards, to illustrate randomness.
  • They emphasize that while a fair coin has a 50/50 chance, the outcome becomes predictable when laws of physics are applied.

Patterns in Chaos

  • Emergence of Patterns:
  • Patterns can emerge from randomness when viewed from a larger perspective.
  • Minute uncertainties in universal conditions led to the formation of galaxies, demonstrating how chaos is governed by strict mathematical laws.
  • Entropy and Communication:
  • The hosts discuss entropy as a measure of disorder and opportunity for surprise in sequences.
  • A string of random digits requires more complex communication than a predictable sequence, highlighting the relationship between randomness and information.

Human Perception of Meaning

  • Finding Meaning in Randomness:
  • The human brain is wired to seek patterns and meaning in chaotic environments.
  • The hosts delve into the notion that meaning is a construct created from random experiences and information.
  • The Library of Babel:
  • They reference Borges' fictional library, where every possible combination of letters exists, illustrating the vastness of randomness in creating meaning.

Scientific Applications of Randomness

  • Controlled Trials:
  • Historical examples illustrate how randomness is utilized in medical trials to separate treatment effects from randomness.
  • The importance of controlled random trials is emphasized in understanding the effectiveness of drugs.
  • Ziff's Law:
  • This law demonstrates that within languages and even random typing, patterns can emerge, linking the concept of order to randomness.

The Role of Randomness in Existence

  • Cosmic Background Radiation:
  • The podcast touches on how the tiny fluctuations in the early universe led to the formation of structure, planets, and ultimately life.
  • The significance of randomness is underscored as essential for the universe’s complexity.

Meaning and Consciousness

  • Existence of Consciousness:
  • The hosts propose that consciousness may arise from a universe lacking inherent meaning, allowing for the creation of individual meaning.
  • They suggest that complexity and randomness are necessary for conscious beings to evolve and understand their existence.

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Conclusion The episode concludes with a reflection on the intricate relationship between chaos and order, randomness, and the human quest for meaning. The hosts underscore that the universe's randomness is not merely a backdrop but a vital component that enables existence, consciousness, and the formation of meaning.

Key Takeaways

  • Randomness is often a label for our ignorance rather than an inherent property of events.
  • Patterns in chaos emerge when viewed from a broader perspective.
  • Meaning is a human construct arising from our interaction with randomness.
  • Understanding randomness has practical implications in scientific research and our comprehension of the universe.

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Additional Information

  • Sponsor: Cancer Research UK, highlighting their contributions to cancer research and advancements in medical science.
  • Production Team: Includes Adam Thornton (Video Producer), Bex Tyrrell (Video & Social), among others.

For more details on the podcast and Cancer Research UK, visit their respective websites.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

The Nature of Randomness

2:15 to 3:36

Defining randomness and its properties in everyday scenarios.

“But funny enough, randomness might lead us there.”

Understanding Pi and Normal Numbers

3:36 to 5:30

Exploring the characteristics of pi and normal numbers.

“You do have the other end of the spectrum, right?”

Games with Digits of Pi

5:30 to 8:31

Discussion about memorizing pi and its randomness qualities.

“want to go first go on then we'll take it in turn shall we okay okay okay i like that all right 3.1.4.1.5.9.2.6.”

Entropy and Communication

8:31 to 10:40

Exploring entropy in sequences and its relation to communication.

“It's less predictable and there aren't a lot of patterns in it.”

The Library of Babel: Infinite Possibilities

10:40 to 14:02

Delving into Borges' Library of Babel and the search for meaning.

“What I mean is there's a lot of ways Scrabble tiles thrown on the floor can look messy.”

The Library of Babel and Meaning

14:02 to 19:13

Explore how the Library of Babel illustrates the difficulty of finding meaning amid randomness.

“Yeah, I talked about it in my video Messages for the Future.”

Randomness in Science: Lessons from History

22:11 to 28:00

Investigate how randomness can be utilized in scientific inquiry through historical anecdotes.

“There's a lot of good mathematics in the 1700s.”

Exploring Patterns in Randomness

28:00 to 29:39

Discover how Ziff's law applies to both craters and random typing, revealing inherent patterns.

“Yeah, I mean, that sort of feels like it's not random.”

Perception of Chaos and Predictability

29:40 to 31:30

Learn how perception changes from chaos to predictability based on scale, using examples from burglaries.

“Like if you zoom out, you see a different view.”

Statistical Patterns in Crime

31:31 to 33:35

Examine how statistical tools can predict burglary patterns and their implications for policing.

“And in the first few weeks, I mean, they had this amazing drop in the number of crimes, like eight and a half percent drop, right?”
Show all 16 chapters

Understanding Randomness and Meaning

33:36 to 35:31

Explore the relationship between randomness, meaning, and how humans interpret them through examples.

“probability of burglary across an entire city.”

The Cosmic Microwave Background

35:32 to 41:35

Delve into the cosmic microwave background and its significance in understanding the universe's formation.

“So in order to find meaning from things that look random, we need to use things that have no meaning at all.”

The Sweet Spot Between Order and Chaos

41:36 to 43:38

Learn how the balance between order and chaos is essential for the existence of galaxies and life.

“So if this early universe, which is that's what the cosmic microwave background radiation is, it's like the furthest away light.”

The Emergence of Consciousness

43:38 to 44:25

Discuss how complexity and a lack of singular meaning contribute to consciousness.

“But we don't live in a universe with meaning.”

Life Exists Because of Meaning's Absence

44:25 to 44:36

Revelation that life emerges in a universe devoid of single meaning.

“Hey, look, I think that there's no more positive way to end an episode than to say life exists because the universe has no meaning.”

Scratch Card Game and Wrap-Up

44:36 to 45:06

A light-hearted conclusion featuring a scratch card game and a final message.

“Apart from actually these scratch cards, which we still haven't done.”
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Transcript

Automatic transcript. May contain errors.

0:00This episode is brought to you by Cancer Research UK. Dinosaurs walked the earth 180 million years ago. But, you know, cancer was part of their story too. Scientists have found tumors in ancient fossils. Well, that is part of the reason why cancer is a big, big part of our story, right? It's the other side of evolution. It's the most complex disease that we face. There are more than 200 types of cancer in total, each with distinct characteristics, challenges and mysteries. And that complexity demands scale. Cancer Research UK is the world's largest charitable funder of cancer research, with more than 4 ,000 scientists, doctors and nurses working across more than 20 countries in the search for answers, and then sharing their discoveries beyond borders.

0:45And the impact of this collaboration is clear, because over the last 50 years, the charity's pioneering work has helped to double cancer survival in the UK. That is, more people who are living longer, better lives. Fossils can show us the past, but research is shaping the future. And for more information about Cancer Research UK, their research, breakthroughs, and how you can support them, visit cancerresearchuk.org forward slash rest is science.

1:20Hello and welcome to The Rest is Science with me, Hannah Fry. And me, Michael Stevens. Okay, Michael, I've brought a present for you. I see them on the table. The potential to be a very good present indeed. I've got some scratch cards. Do you have a preference? Oh, there's different kinds. There is different kinds. You didn't just get two of the same? No. So this one is just a straight up top prize of 5 ,000. Boring. This one I think is a more interesting choice. Would you rather have 20 ,000 pounds a month for five years or 300 ,000 pounds? I'd rather have the 20 ,000. I think I'm more likely to win a smaller prize.

1:50Oh, okay. So here is one. Smaller top prize. 5 ,000 pounds top prize on this one. So is this the one you won? No. Because that one only cost one pound. So you got to also spend more. You're more likely to win. So give me that 20 ,000 a month for five years. Because it's five pounds. I agree this is the best one, by the way. I agree this is the best one. Can I scratch this now or should we do it later? Because let's wait. Let's wait, right? Because I want to know what the chance of both of us. I've got three games on mine. Yeah, I don't think it works like that. All right. We'll have to find out.

2:24We'll have to find out. But funny enough, randomness might lead us there. Look, hey, that's what I call a hook and tease. Yeah. If we're talking about randomness, we should probably define it, right? Yeah. I'll throw one out there. I like to just say randomness is a property something has that makes it unpredictable and lacking in identifiable, recognizable patterns. Where you don't know the outcomes in advance. When you don't know the outcomes in advance, you cannot predict them. and you can't even find them when you look at past data, you say, this seems quite random. Although I also think that to add to that, I don't think that that means that something being random is necessarily interesting.

3:07I mean, statisticians love the idea of a weighted coin, right? But like, let's say that somehow I managed to trick this coin so that it landed heads 99 % of the time and then do 100 throws. The results would technically be random, but it would be like heads, heads, heads, heads, heads, heads, there'd probably be one, maybe a couple of tails in there somewhere. Yeah. But where they appear, we wouldn't be able to predict. Agree. I think that's a really great difference to point out, that randomness doesn't mean equal probability. Absolutely. You do have the other end of the spectrum, right? Like if you have a completely fair coin, then you can't tell where any heads or tails will be.

3:42Like it'll be kind of all over the place. And I think that when people talk about purely random, that's sort of what they mean. But really, they're talking about where every possibility is equally likely to come up. That's right. That's really what they mean, because they will say, oh, well, that doesn't look very random. And it's like, well, that'll happen sometimes. Yeah. Randomly. Yeah. Because a weighted coin that heads 99.9 % of the time, it's still random which one it lands on. But what do they call it when there's an equal chance of all the options? like pi for example so the digits after the decimal place in pi well we think that there's an equal chance of every digit to come up and if it does it's called a normal number if you know just as likely to get a two as a four as a you know as a six as an eight whatever and every combination every two combinations so your 22 is like is a 83 or whatever and as far as we've checked which by the way is very very very very far after the decimal point in pi i would say frankly too far i know people worship pi too far we haven't even started it's so long i there will never be far into pi no but we've checked and what have we found we found so far that it looks like it's normal it's normal so you're i mean at the moment we have checked so far into pi but basically if you wanted to measure the radius of the entire universe you could do it you know to the level of accuracy that was way beyond the width of an atom oh yeah to measure the universe you only need pi to like seven digits max hardly any you need hardly any yeah i think i think seven might even be too many but we know it to seven trillion at least yeah um i'm still going how many how many digits of pi do you know um competition yes we can i think you'll win i think i can so do you want to go first go on then we'll take it in turn shall we okay okay okay i like that all right 3.1.4.1.5.9.2.6.

5:48I'm out. I'm out. 3.141592653589793. Once you get to, I think it's like the 760 second digits from there, it goes 999999. How many nines is that? I think it's six in a row. Six in a row. Right, which is like, well, that feels unlike, that feels pretty random. Oh, this is the Feynman point. This is the Feynman. I've heard about this. Yeah, Feynman would always say that what he wanted to do was to memorize the digits of pi all the way up to 762, and then just say 909, 999, and so on. And so on. Wasn't he a clever guy? He was. Okay, so this is the other end of the spectrum, right? The digits of pi are the other end of the spectrum in terms of the random sequence.

6:29It's not random. They're random and potentially normal. Yes. Well, okay, we should be careful, though, because they're not actually random because pi is a particular number. That's true. I can predict what it'll be. It'll be the ratio between a circumference and a diameter of a circle. Exactly. But they have all the characteristics of a random sequence. So, you know, this infinite sequence in pi where the digits are distributed uniformly, right? First of all, I want to throw in another definition of randomness that I really like, but then I got a question about it. And the definition is that when something is random, it takes longer to describe to someone over the phone.

7:07So imagine that I flipped a coin 100 times and it landed heads every time. I could quickly tell my friend, dude, I rolled a coin 100 times. I got heads every time. Bye. Completely predictable, completely ordered. Exactly. The results of those flips were random. Let's say it was just weird luck. However, that string of digits is easy to communicate. Easy to communicate. So is it still random? So, OK, there's two slightly different things going on here, right? Yeah, there are, aren't there? Yeah, two subtly different things. So one of them is about whether or not the next thing that's going to happen can be predetermined, whether it's predictable, essentially, right?

7:45Whether this outcome is determined in advance. That's randomness. But then there's also the other thing here, which is like the opportunity for surprise, as it were, right? because you could have it's kind of going back to that spectrum of like a very ordered sequence easy to communicate a very unordered sequence where you know like taking a chunk of the digits of pi is really difficult to communicate i mean that if you were saying that down the phone you would have to literally read them out one by one by one yeah right if i flipped a coin and i got a more typical distribution i couldn't just call my friend and say oh they were all heads i'd have to be like, dude, OK, there were two heads, tails, heads.

8:26I'd basically have to just read the whole thing and it would take a long time. That string of digits is more random. It's less predictable and there aren't a lot of patterns in it. Well, I don't know if it's more random, right? But I think it has, well, it's what the information theorists call more entropy. It's more chaotic. OK, so then there's a difference between being random and being high entropy absolutely so being random is about whether or not you can tell the next thing that's going to happen in advance and having high entropy is about like the number of opportunities for surprise so like in an alphabet you know if i if i had some scrabble tiles something that was low entropy would be aaa right perfectly ordered right nothing interesting going on something that was high entropy would be like you know t g d p l w like no no discernible patterns for you to latch onto there's two things that are going on here right so one of them is is randomness and that's whether or not the next thing in the sequence is predictable and it doesn't matter whether it's very very likely to be heads or equally likely to be heads and tails it's still whether you or not you can absolutely say for certain what it's going to be in advance but then there's this other thing that's going on, which is that we sort of have a spectrum of chaos here.

9:41So at one end, you've got something that's perfectly ordered. Heads, heads, heads, heads, heads, heads, heads, heads, heads, heads, really boring. And then the other end, you've got something that is perfectly messy, right? There's no structure or pattern that you can latch onto. And at the one end, you're going to be able to communicate that down the phone extremely quickly and easily. It's just always. And at the other end, you're gonna have to read out the entire thing. There's no way that you can compress that message. Yeah, that's a very important distinction to make. The difference between randomness, meaning can't predict it, and how disordered is the result that we got from a random, unpredictable process.

10:18You can throw Scrabble tiles on the ground, and it is possible that they'll land in a way that spells a sentence. That would be highly ordered. But if they just look like a mess, it's very unordered. And I think it's important to point out, and this will keep Keep us in the topic of randomness, but it's important to point out that this is starting to feel a little bit subjective. Yeah. Because what do you mean it looks messy? What I mean is there's a lot of ways Scrabble tiles thrown on the floor can look messy. There's a lot of ways, but there's like only one way they can fall on the ground and spell out how I was born.

10:55Yeah. All right. And so the fewer different ways something can be arranged to look the way it does, the higher the entropy. Yeah, absolutely. Richard Feynman had a quote that I actually wrote in my notes. We measure disorder by the number of ways the insides can be arranged so that from the outside it looks the same. Oh, that's so good. Yeah. He really was smart, wasn't he? Flip a coin a hundred times and get heads the whole time. There's only one way you could get heads every time. But how many ways are there to get something that's really hard to communicate on the phone? Most of them. A bunch.

11:32A lot, a lot, a lot. That has low entropy. Yeah, I like this idea of the distinction between randomness and disorder, which is what we're really ultimately talking about here. You know, the other thing about the throwing those scrabble tiles on the floor and getting a sentence that spells out the way that you were born is that that's you imparting meaning onto what is essentially a random sequence. Because if you carried on going forever, if you chucked, you know, scrabble tiles on the floor over and over and over and over again, eventually you would end up with something that told the story of your birth and your death.

12:06Well, right. But like, let's just imagine that the universe is really huge. like infinite, and that there are intelligent civilizations that number almost infinite as well, then the chances that I could throw Scrabble tiles on the ground and some alien somewhere could look and go, that's how I was born, using its language becomes higher and higher. So whether something is disordered really depends on the context that they're looking from. Have you read The Library of Babel by Jorge Borges? Yeah, I have. Oh my God, I love it so much. I love it so much. But he had this, it's a really short story, it's only like three pages or something.

12:49But he had this idea that there was a fictional library, a kind of infinite library, where every single possible combination of letters on a page existed within the books within this library. So that in theory, you could go in, I mean spaces are included right you could go in and you could go to some shelf in this library pull a book off flick to a page and it just say nothing on the page at all apart from your name it was right written in the middle but there would also be a page somewhere in that library where your name would be written vertically right and another one diagonally and another one where it was just your name over and over and over again every possible combination of a way to write your name must appear within that library but the sort of twist on this story is that even though that might be true because as you said the number of ways to order letters on a page the number of ways to order scrabble tiles is so gigantically massive what this means is your experience of going into the library is that you pull out a book you open a page it's junk another page it's junk another page it's junk so he has these librarians wandering around this this infinite library looking for meaning and essentially finding nothing for you know there's there's one person who has spent 10 years and found half a sentence right someone found the word it's a dog or whatever even that's hard to believe even that's hard to believe even though every single sentence possible is in that library your likelihood of finding one of them in your lifetime it's got to be close to zero.

14:26It's not zero. It's not zero. Do you know that someone made this? Someone made a digital version? Yeah, I talked about it in my video Messages for the Future. And I got to speak to the guy who made it. And he told me how he coded the site to work. Because yes, it contains every combination of letters, including spaces, up to a certain number of characters. He only did every possible page, right? rather than every possible book. It's not every possible book, but it also doesn't exist on a server, like every combination. Instead, it's coded within numbers. He did a mathematical trick, basically.

15:02That's right. You can search and it will find anything you search in the library of Babel. Because we already know they're out there. In theory, they already exist. But what he managed to do was to create a way that he can order them and allow you to search them. Right. So if I looked up your name, I would find it on a certain page in a certain book in a certain volume in a certain wing. But then if anyone else looked up your name, it would be in that same spot. So he's cataloged everything that's ever been said and everything that still hasn't been said. It is a little bit scary. It's really scary.

15:36But I also think that what this demonstrates is just how like how difficult we find it to conceive of these worlds, right, of randomness, of combinations. I think that we are just really, really bad at having intuition for what randomness looks like. We really are. You said something that I want to get back to, which is that the librarians in the library of Babel are looking for meaning. What is meaning? Is it meaning something that we effectively create because the universe doesn't provide it? Yeah, I might not totally agree with that yet. But I think I will say this, that to me, meaning is what happens when information is discarded, but can be put back in.

16:22Meaning is what happens when information is discarded, but not lost. Go on. OK, so let's just talk about someone's name. Right. Like the name Hannah Fry means something. It means you. It means your life story. it means a lot. It means a lot to different people. But I don't have to refer to you by describing everything about you and everything that you've done and where you are right now. I can just say your name. If someone goes, oh, who'd you see today? I don't have to be like, I saw the woman who was born in this town. And it'd go on and on. I can just say Hannah. A lot of information has been discarded.

17:02I'm not mentioning a lot of stuff. And yet I am. It's like, you know, it kind of goes back to that idea of like, Like how quickly can you communicate something around the phone? I'm compressing everything you represent into a single name. When we ask what something means, we're asking what information has been discarded. Right. Okay. You're asking for the invisible thing that you're no longer directly communicating, but that is common shared agreement. I heard what you said, but what did you not say? Because that's what you meant. But then here's, I'm going to go back to what I said before, that meaning is something that we create right because the universe doesn't provide it and i actually i want to double down on that because the thing is the words hannah fry they might mean something now right they might have a shared meaning between people who are my family or whatever right now but this is something that only has existed for the briefest flicker of time and will quite soon cease to exist right like in a hundred years maybe less it will have no longer any meaning whatsoever in the same way as like Ignatius spelling, you know, or whatever.

18:10It doesn't have any meaning to anyone. That means a lot to me. That was my father's name. How dare you? And so, yeah, I think that actually meaning is something that we are creating, that we are putting on top of the randomness that already exists. Not only are we creating meaning, it is what we do. I think our niche as a species is that we create meaning. We discard information to save time, to solve problems. It's all what cognition really is. And I think we make meaning just like bees make honey. We take stuff, we take information from the universe, just like bees take nectar, and we go, eh, this could be sweeter.

18:55And we discard a bunch of stuff. The bees dry out that nectar until they've just got this really, really sweet honey. And we take in all this information and we discard stuff until we've just got this meaningful thing. I really like that idea. I really like that idea. I think we can go further with it. So I'm going to pause for a break. And when we come back, we're going to see if there are other ways to make meaning from randomness and disorder.

19:27This episode is brought to you by Cancer Research UK, who over the past 50 years have helped double cancer survival in the UK. You might have heard of BRCA genes. These are the ones that made headlines when Angelina Jolie revealed that she carried a faulty version. Yeah, BRCA genes are part of our DNA. They help to repair cells and keep them healthy. The risk comes when BRCA genes are faulty. And about 1 in 400 people inherit a faulty version, increasing the risk of some cancers. Yeah, now this discovery came from Cancer Research UK scientists who came across the BRCA1 and BRCA2 genes, a breakthrough that changed how doctors prevent, diagnose and treat cancer.

20:07And now we've got genetic testing that means that people who have faulty BRCA genes can take steps to prevent cancer or to receive tailored treatment. The discovery also revealed a weakness in cancer. By turning that flaw against the disease, researchers developed PARP inhibitors, targeted drugs that are now helping thousands of people. And all of this really points to a future where medicine is no longer just one size fits all. It's something that's informed by your own DNA. So for more information about Cancer Research UK, their research, breakthroughs, and how you can support them, visit cancerresearchuk.org forward slash rested science.

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22:05welcome back we are talking randomness we are talking meaning we're talking disorder and chaos all of the sweet easy subjects for today it's been so random i think i was thinking about that during the break i went to the bathroom and i was thinking i was like yep i think people use the word random nowadays in the right way they're saying look i couldn't have predicted it i didn't know that guy would be at the party so he was a rando yeah that one i don't mind is when people say oh i just crashed my car i'm so random that's the one that bothers me it's like no no no no no you can't you can't retrospectively apply a person who talks like that is someone that i would predict would be in a car accident it's not random that's actually my natural voice oh so you're just like putting on this this one is the fake one i'm from essex you know come on okay we agree then that the there's a lot of disorder there's a lot of uncertainty but the thing is i think science is really really very good at taking that uncertainty and using it for our own advantage give me an example all right one of my favorite stories is back in like the 1700s there was a lot of woo woo in medicine right even like official hospitals had a lot of crazy, crazy stuff going on.

23:25What wasn't woo-woo back then? I mean, mathematics, thank you. There's a lot of good mathematics in the 1700s. But anyway, one of the most amazing bits of woo-woo was this thing called Perkins Metallic Tractors. You come across these? No. Basically, there were these little rods and they had pointy ends. And what you would do is you would go around to somebody who was like not feeling very well and you would point the rods over the bit of their body that was hurting. And then technically, if you stood there for about 20 minutes, They could draw out the noxious electrical fluids. I think people were quite into electricity at the time.

23:57And they sold for an absolute fortune. Old Georgie Washington, he had a set. Everyone was like fully bought into them. And then there was this guy called John Haygarth. And he was like, I think this is not, something's not right here. So what he did is he went away and he made some little wooden versions of these tractors. And he painted them to look like the original. And then he went into a hospital and he was like, OK, there's lots of people here, right? If I try this on a number of different people and I won't tell them, sometimes I'm going to use the real tractors. Sometimes I'm going to randomly assign the other ones, the wooden ones, and I'll see who ends up getting better.

24:34And he went around and he collected all the data, wiggling these little sticks in front of people and demonstrated that the real ones had made no difference whatsoever. Whether he was wiggling the metal sticks, the really expensive tractors, or these little wooden toothpicks that he mocked up at home didn't make any difference. But what he was effectively doing there was he was using the kind of randomness, the disorder of the universe to his own advantage to kind of prove that there was nothing special about these tractors. That's right. He found their meaning or lack thereof by randomly applying them.

25:11Was it like double blind? Did the users not even know whether they had the real things or not? No, because he was the user. So no. So he knew. He knew. He knew. But it was a bit later on. I mean, it was like the 1940s when controlled trials, random controlled trials. So he was one of the first on record to be doing this kind of a random trial to find whether there's meaning or not. Exactly. Exactly. Did he look at the outcomes of people that he didn't do any of the treatments to? No, this is like early doors, right? So for that stuff, for it to be properly, the point at which it became the new gold standard, that was the treatment of TB in the 1940s.

25:52And then there was a particular drug, it was called streptomycin. And people weren't sure whether it was actually making a difference or not. Because of course, you give a drug to some people with TB and they get better. You give it to other people with TB, and they don't get better. And it's really difficult to kind of hone in on precisely the role of the drug in all of that. So that was when they did it absolutely properly. They deliberately withheld the drug from a randomly selected group of individuals who had TB in order to work out whether it was the drug that was making the difference or it was just randomness.

26:23Yeah, right. Because there could even be a placebo effect where whether it's real medicine or not, just the fact that a doctor cares enough to give you attention can affect how your body heals, how it reacts, what symptoms you have. And it's only by harnessing randomness and disorder, by doing it on multiple people, that you can start to separate out some of these effects. To separate out the meaning. The meaning, exactly. Meaning can even emerge from randomness. I think my favorite example is Ziff's Law. Yeah. Ziff's Law is this really bizarre phenomenon that we've observed in every known language.

27:01We've observed this in craters on the moon. I'll describe it using language. So in languages, there are words that are used more than others. And you can rank how often a word is used. So in English, it's the word the. The second most used word, as it turns out, will be used about half as often as the most used word. Really? I'm not done yet. Okay. The third most used word will show up in texts a third as often as the number one. The fourth, a quarter as much. The fifth, a fifth as much. And so on. Really? All the way down. I did a video about this and I just, I said, well, Vsauce is my YouTube channel.

27:41I'll check the word sauce. And I don't remember the exact number, but sauce was like the 5 ,000th most used word in English. And it showed up one 5 ,000th as often as the word the. In the Gutenberg corpus and in Google's corpus. I was like, this is incredible. And so what's going on, right? Yeah. Yeah, I mean, that sort of feels like it's not random. That feels like it's an imparted pattern. Maybe it's put in there by human minds. No, because we see this in craters as well. Crater size and location, it follows Ziff's law. The most common size shows up a certain amount of time. The next most common shows up half as often as the most common.

28:19And it's incredible. But then later, it was found that Ziff's law is also obeyed by random typing on a keyboard. No. Yep. That just a monkey slapping a keyboard is going to also create a language that follows Ziff's law. Wait, so hold on, hold on, hold on, though. What are you counting? What counts as the most common thing there? Like a combination of letters? You just treat it like they're words and you say, what's the most common word? Which means letters that are separated by spaces. What's the most common word that the monkey's typing? And then you look and they're going to follow the same pattern.

28:57and that is because the space bar is what defines a word ending and beginning. The space bar is one of the keys. So imagine a keyboard that just had letters and a space bar. It's got 27 buttons. Eventually, you're going to hit the space bar and that makes shorter words more likely than longer ones. A longer word means that you've gone a long time without hitting the space bar. It's much less likely. And how much less likely? You can look at the math behind it and it just forms that exact same shape. So actually what Zipp's law is doing there is that it's like this inherent pattern that appears when things are generated effectively at random.

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29:39And when you stand far enough away, which brings us back to that subjective quality of randomness. Like if you zoom out, you see a different view. Yeah. If I look at a bottle of gas really close up, those molecules are going everywhere. They're bouncing off of each other. It's incredibly chaotic. Maximum disorder. But I go far enough back and I go, oh, it's cooling down. Or, oh, the hot air at the ground floor is rising. It becomes incredibly predictable the further away I look. Even though at the microscopic level, its nature is randomness. And that's it, right? That idea of like sliding along from order to chaos, from like clean, everything being the same to messy disorder.

30:21Actually, that's a function of scale as well. Like you zoom in, zoom out. You know, you see this in patterns of human behavior as well. One of my favorite examples of this is burglaries. So your chance of being burgled is actually at its highest when you've just been burgled. right so in in a lot of ways burglaries follow a similar pattern to earthquakes right the very first shock is very difficult to predict but once something has happened then the aftershocks in inverted commas have this kind of very clear pattern they kind of they they get smaller and smaller and smaller as you go further away from from the epicenter and they also decay away in time a few people notice this with burglaries right that it's like if you look across the city it's really hard to say here's where a burglary is going to be for the first one but once a group starts targeting a particular area, particularly in cities where houses are structured in the same way all the way across the street, you know, people get to know the layout of the house.

31:15They get to know where you keep your valuables. Also, people replace their valuables. I mean, that's another thing, right? Or it might be that they have been and spotted something and wanted to come back for it because they couldn't get it the first time. So a little while ago, this is maybe about 10 years ago or so, a group of mathematicians and criminologists, they noticed that there were these patterns that actually, even though they were random and when you were at the scale of the individual when it's your house being burgled right it feels like there is no order anywhere here but when you zoom out to the scale of the city actually there's a pattern that appears in the randomness so what they did is they created these tools that could be used by police so that if a set of burglary started these tools could say okay this is where we predict they're likely to happen next and kent police in particular They were one of the early adopters of this.

32:05And in the first few weeks, I mean, they had this amazing drop in the number of crimes, like eight and a half percent drop, right? Really kind of demonstrated this proof of concept that there is some predictability, there are these patterns you can latch on to. There was one story in particular of where this model that had been created told the Kent police, you need to go to this particular square on the map. This is where crimes are likely to happen tonight. The police officer turned up, pulled up in a car. And as they arrived in the street, they saw someone climbing through a window, burglaring house.

32:39Right now. OK, that story sounds really positive. Right. And everyone got very excited about this at the time. The problem is, if I tell you, here's where there's likely to be events happening tonight, here's where burglaries are likely to happen, and you're the police, right? Your options are quite limited because what you can't do is suddenly change all of your officers to like flood that area. Because then what you're doing is you're disproportionately policing particular neighbourhoods over others. And then, of course, you're going to capture more crimes, which then just makes the model think that area is a worse area.

33:13And so you get to the point where you're actually using statistics to kind of harass particular neighborhoods, right, which is very bad. So what they do now is that when there has been a burglary, they still have the models running saying this is where they're likely to be. They'll post a leaflet through your door and they'll say, your chances of being burgled have increased. Make sure that you lock your windows. make sure that you lock your doors, that does have a genuine quantifiable decrease in the probability of burglary across an entire city. Wow. It's a very chaotic system, isn't it? That you've got the behavior of the burglars, but then also the behavior of the police.

33:51And so if they're catching more criminals, because that's where they all are, then that feeds back into the system. And it's a double pendulum of crime. It just gets very messy very quickly. I mean, I would sort of say that a double pendulum in the original sense is a bit of a crime to watch it but let me tell you this triple pendulum oh god just imagine no i can't it's too too too chaotic now when when scientists need random numbers where do they get them because as as we've been dancing around like the more knowledge you have the less random something becomes um and so we have to look at probably the most confusing things lava lamps.

34:32Their behavior is very chaotic. And you can train a camera at a lava lamp and just ask, is a blob going to cover this pixel or not? And that can generate the numbers that you need that have like no patterns, completely unpredictable, just like the lava lamp. Random.org uses static electricity in the atmosphere to generate random numbers. You can go there right now and tell me, give me a bunch of random numbers between one and a hundred. And it does a pretty good job. I mean, good in the sense that no one's going to be able to predict what it produces. However, to a certain extent, it should be predictable.

35:07If you knew a lot about the atmosphere right now, you would have a better chance of predicting what numbers it's going to produce. But since most of us don't, it's random. In order to find meaning, we have to, and we're advantaged by using randomness, random trials, right? Which means that to find meaning, we need those things that have none. What a wonderful yin and yang. Wait, let me just sit with it for a second. So in order to find meaning from things that look random, we need to use things that have no meaning at all. Yeah. To be able to separate out the two. Yeah. That's nice, isn't it? You need both bright and burning.

35:47Yeah, I like that a lot. You know the Enigma machine during World War II? Basically, it's like a typewriter where you type in your message and it has a series of cogs and dials that changes. If you hit the letter G, for instance, behind the scenes, this mechanical thing will change it into, I don't know, a letter R, for instance. And then when you hit G again, those wheels will have turned around and it will generate a different letter, T, for instance. So the idea from the Germans' perspective was what they wanted was it to just look like a random jumble of letters. But what the British realised, even though when you originally look at these encoded messages, it's really hard to grab onto anything.

36:30What the British realised was that there was little bits of meaning in there that they could latch onto. And one of them in particular was that messages that were sent would often end with the message Heil Hitler. So they knew that the last few letters of any communication were likely to have been that. And so they managed to like grab onto that little bit of meaning hidden within the randomness in order to decode the entire thing. But then there's also another level of meaning here. because what you would do is you would set the dials in a particular way. You would have like a particular code of two letters or three letters that would allow you to set the dials in a particular way for that day.

37:14And they worked out that what the Germans were doing is they were choosing the letters of their girlfriends, their girlfriends' initials, right, or their wives. So they had this little book, which was just all of the German military personnel that they were targeting that they knew were sending these messages and all of their lovers and mistresses and girlfriends. And now you've got a really short list of initial settings. Exactly. To decode. To try, to kind of, to like shortcut you. So just by learning who the Germans were dating, the randomness became a lot less random. Because we can't help it, right?

37:49Humans can't help but impart meaning. We put this meaning in and then it all unravels. Yeah. So is this related to the question of, I'm going to flip this coin, I'm going to catch it. Yeah. I'm going to put it down on the table. Yeah. what's the probability that it's heads or tails uh 50 50 50 okay you just looked at it and now what's the probability for you or me for me it's 100 tails because i saw it oh you're lying but for you it's still 50 50 right probability is a measure of our ignorance yeah it's not a measure of something that's objectively out there in the universe that God would know.

38:33No, no, I totally agree. A supremely omniscient creature would have to go, the probability for who? How much do they not know? As the police learn more or as the love lives of the Germans become more known, meaning emerges. Meaning emerges. You know how you were talking earlier about how humans are these basically meaning machines, right? And like we live in that space between perfect order and perfect chaos. And that is where you can find meaning. I think that's true beyond just like human experience. I think that's also true for like the whole reason we are here in the first place. So in the 1960s, there were these two astronomers who were putting telescopes in the sky, like recording, you know, loads of information.

39:17And there was basically this constant hiss in their antenna, right? They just couldn't get rid of it. Now, I haven't checked the news for decades, but it was just birds, right? That was, I think, one of the original hypotheses. But then they tried it to non-bird places oh so they fixed that and and so the noise went away no the noise did not go away literally wherever they went they tried it a day they tried it at night they cleaned out pigeon droppings from the inside they felt that might be the cause nothing nothing would get rid of this hiss it felt like it was very random right it's like static on your tv it's kind of no discernible source this just like total cosmic mystery and what people eventually worked out that actually this this random noise it wasn't an error it was what's become known as the cosmic microwave background essentially they're like the oldest light in the universe right the the residual heat from the big bang this like afterglow that has been traveling through space for billions of years that now appears on earth as this electromagnetic bit of radiation a kind of crackle on your tv sets if you were born pre-1995 but anyway since then what people have done is They have used, you know, satellites to like map out this noise in inverted commas in like this exquisite detail.

40:29And what you see is that at the moment of the Big Bang, we were so, so, so close to having AAAA, right? Or heads, heads, heads, heads, heads, heads. It was unbelievably close to being completely ordered. The entire universe had almost no fluctuations in it whatsoever. So the estimates are that it was variations of less than one part in 100 ,000 in terms of temperature, right? It was almost completely blanket uniform, but it wasn't totally uniform. It was somewhere on that spectrum between perfect order and perfect Earth, just nudged ever so slightly to the right of perfect order. There were these little quantum jitters, right, these like tiny little variations in temperature.

41:11And what that meant was that over time, gravity started to form around those really tiny variations. And that then became the seeds of every planet, of every galaxy, of every solar system that we have, every star that we have across the entire universe is because of those tiny little moments of non-order in an otherwise ordered state. So if this early universe, which is that's what the cosmic microwave background radiation is, it's like the furthest away light. It is us literally looking at what the universe looked like when it was 300 ,000 years old or something. At the moment, it became transparent.

41:51Okay, a long time ago. Yeah. If that had been more disordered, what would the universe look like today? Yeah, if it had been a complete mess, it would have been black holes everywhere. Okay, and what if it had been super ordered? If it had been perfectly ordered, death. Nothing would have formed. But because of these imperfections, gravity is eventually able to make not black holes, but galaxies, planets, koalas. Exactly. Exactly. On the hierarchy of things that we care about. Yes. And that's it. Right. This is the sweet spot in between. It's where there is the potential to surprise, but the potential to create meaning by which in this case I literally mean planets.

42:35You know, the physical matter on which life can form. The only reason why exist is because there was randomness. So mountains and scratch cards and gingivitis only exist because of randomness. Only exist because we live in the sweet spot between order and chaos. The sweet spot. Just random enough to be interesting. Yeah. I'm going to go one further and say it's not just the physical matter. It's not just living organisms. But I'm working on a theory that consciousness itself comes about because the universe has no meaning. Go on. So that's the short version. The elevator pitch is that you exist because life has no meaning and you are alone, which sounds sad.

43:23But like if our universe was completely uniform, discarding information didn't matter because there was just one thing, then there would be no reason for a creature to evolve that incited and excited information that created meaning. because there would only be one meaning. But we don't live in a universe with meaning. We live in one that is filled with lots of different meanings. I can make anything mean anything. So we'll do an episode on consciousness later, but I think that we need to have a certain amount of complexity, which is the name for this region in between chaos and order. We need a bit of complexity for a creature like ourselves to exist and a creature who needs to figure things out in its own head, pack up meaning and unpack the meaning.

44:06That all happens up here. And I think long story short, we wind up kind of living in here a little bit. And that's where the concept of a self emerges. That I am a conscious being who lives in my interior. All of this only happens because the universe has no single meaning. It's got a lot that we get to make. Hey, look, I think that there's no more positive way to end an episode than to say life exists because the universe has no meaning. That's the perfect possible wrap-up. Apart from actually these scratch cards, which we still haven't done. Oh my gosh. Let's do it. Let's do it. All right. All right, guys.

44:44This is it. So the symbols that we want to match are either a plant, a window, a house, a chest, or a bulb. The winning image is a stack of coins. so basically none of us won anything the delicious taste of defeat next time next time well that is a wrap on this episode but there is a lot more where that came from so please do make sure that you are following the rest is science on youtube or wherever you get your podcasts make sure that you like and subscribe okay that's my message to you do it and you can always reach out to us at the rest is science at goal hanger.com see you next time

45:29Thank you.

From the publisher

What do we mean when we call an event random?

Most people view randomness as a fundamental property of the universe, but is it just a label for our own lack of knowledge? Whether it is a weighted coin toss, a scratch card, or the digits of Pi, unpredictability usually emerges from rules and patterns that sit just beyond our perception.

Professor Hannah Fry and Michael Stevens dismantle the logic of chance, exploring how chaos is governed by strict mathematical laws and why a coin can be '50 / 50' until the moment you apply the laws of physics to its flight.

How does probability measure what we cannot see rather than what will happen. Why do patterns inevitably emerge when we zoom out, how minute uncertainties allowed for the formation of galaxies, and why is the human mind is so determined to find meaning in a world built on statistical mechanics.

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