Something You Should Know - Cool Things You Can Do With AI & Surprising Insight in Chance, Probability & Risk

Episode Date: March 6, 2025

There is a word you probably use that means something entirely different than what you think. In fact, it means the opposite of what you think. Yet, this opposite meaning has become so pervasive, even dictionaries now say that the wrong meaning is now okay. Listen and I will tell you what the word is and what it really means. https://www.jalopnik.com/dear-hollywood-please-knock-it-off-with-the-overdrive-5926885/ Artificial Intelligence can seem intimidating to some. Yet it is actually quite simple to use and it can do amazing things to make your life better. It can teach you a skill, plan your dinner, plan a trip, be a brainstorming partner and counsel you to help with a problem. These are just a few of the things you’ll discover how to do from listening to my guest, Celia Quillan. She is an expert in artificial intelligence and has been featured in Time, The New York Post, The Wall Street Journal, and the Today show. She is the creator of the popular TikTok and Instagram channel @SmartWorkAI and she is author of the book, AI for Life: 100+ Ways to Use Artificial Intelligence to Make Your Life Easier, More Productive…and More Fun! (https://amzn.to/3QGCYy0) We often use phrases like, “There’s a good chance…” or “It’s likely that….” But without knowing HOW good a chance or HOW likely something is, the phrases don’t mean much. To help get a true understanding of chance, probability and luck is David Spiegelhalter, emeritus professor of statistics at the University of Cambridge and author of the book The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck (https://amzn.to/41sXdEu). You probably feel safe taking a shower in your own bathroom. But dangers are lurking – some you might never have thought of. Listen as I explain how to reduce the risk of taking a shower. https://www.menshealth.com/health/g19544438/shower-safety/ PLEASE SUPPORT OUR SPONSORS!!! FACTOR: Eat smart with Factor! Get 50% off at https://FactorMeals.com/something50off QUINCE: Indulge in affordable luxury! Go to https://Quince.com/sysk for free shipping on your order and 365-day returns. TIMELINE: Get 10% off your order of Mitopure!  Go to https://Timeline.com/SOMETHING SHOPIFY:  Nobody does selling better than Shopify! Sign up for a $1 per-month trial period at https://Shopify.com/sysk and upgrade your selling today! HERS: Hers is changing women's healthcare by providing access to GLP-1 weekly injections with the same active ingredient as Ozempic and Wegovy, as well as oral medication kits. Start your free online visit today at https://forhers.com/sysk INDEED: Get a $75 sponsored job credit to get your jobs more visibility at https://Indeed.com/SOMETHING right now! Learn more about your ad choices. Visit megaphone.fm/adchoices

Today, on Something You Should Know, there's a common word you use that actually means the opposite of what you think it does. Then, you'll hear a lot of cool uses for artificial intelligence that will make your life so much better. I do this all the time. Give me a quick recipe. I have chicken, asparagus, parmesan, and tomato sauce in my fridge. What can I make with this?

It will generate back a recipe that will result in something tasty. It may not be the best thing you've ever made, but it will get you there. Also, we need to talk about your shower and the fascinating world of risk, chance, and probability. If I shuffle a packet of cards properly, give it a good shuffle, I can be absolutely confident nobody in the entire history of humanity has ever had the cards in that order before. It's not intuitive just how many shuffles there are. The number is about the same as the number of atoms in our galaxy.

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Today, Something You Should Know with Mike Carruthers. So there is a word in the English language, a fairly common word, that actually means the opposite of what you think it means. Hi, welcome to another episode of Something You Should Know. When you hear the word overdrive, you think you know what it means. When you hear the phrase, like, kick it into overdrive, most people think it means something along the lines of warp speed or maximum power. And it means just the opposite. It's an automotive term that refers to a gear ratio higher than one to one, so after a certain speed is reached, that speed can be maintained with a minimum of engine

effort and wear. So, in your car, overdrive gives you a more relaxed, efficient ride. The reverse definition has become so ingrained in people's mind that it is now an acceptable definition according to most dictionaries. And then there was the movie Maximum Overdrive which helped continue the word's misuse. But technically, when you say, punch that baby into overdrive, what you're really saying is punch that baby into a leisurely cruising mode. It sounds a lot less cool now that you know what it means. And that is something you should know.

I will admit that I haven't dipped my toe too deep into the artificial intelligence waters. I've played around with chat GPT and I've read a few articles and we've had guests on here talk about what AI is but when I saw this book written by my next guest, I don't know, something clicked. I realized I wasn't really understanding all of what AI could do for me in my life, and maybe more importantly, how to use it in a way that it really gives me what I want and uses more of its potential.

As you listen for the next several minutes, I think you'll really start to understand some of the very cool things AI can do to make your life better and how easy it is to navigate. My guest is Celia Quillen. She is an expert in artificial intelligence and has been featured in Time, the New York Post, the Wall Street Journal, and on The Today Show. She's the creator of the popular TikTok and Instagram channel at Smart Work AI, and she's author of the book AI for Life, 100 plus ways to use artificial intelligence to make your life easier, more productive and more fun.

Hi Celia, welcome to something you should know. Hi Mike, thank you so much for having me. It's great to be here. So I have a sense, cause this is what I thought for a long time. I have this sense that people think of AI as kind of a really fancy search engine. Like you go to chat GPT, you type in something, and you get results back, much like you would

do with Google, even though as you're about to explain, it isn't really a search engine. But don't you think that's what a lot of people think it is? Absolutely. I think many people think of it as a search engine, which especially in the early days might have been a detriment to them because at the time, many of these fools could not browse the web for you and do that search. Now they can.

But I do think that that is kind of the first and foremost thing that people think of them as. Yeah, see, that's what I thought. And I've done that. I've typed in things and gotten answers. But then I looked in your book and saw that you can do so much more. And so what much more can you do? If you could give me like a little shopping list of things that AI can do that people

may not realize. I don't want to go deep. I just want to go wide. Brainstorming. It's excellent at coming up with new ideas and helping you kind of creatively come up with new suggestions for how to accomplish tasks or how to name something. It can help you create and generate effectively anything that is text-based.

So if you needed to create a quick guide to a place that you're traveling, instead of searching one thing, you can search many things at once effectively by having it create a guide. You could have it craft a shopping list according to your groceries that you have to accomplish for the week. You can turn it into your personal secretary, articulating out all the things you have to keep in mind and remember and have it jot it down and summarize it in a nice concise way for

you to refer back to later. There is no limit to how it can help you really. Anything that is text-based, it effectively acts as an intern, as a super advanced intern that can do anything for you. Another use case that many people enjoy is meal planning. So you can put in your preferences for what your dietary preferences are, what you want to eat, how many meals you need prepped for, what your calorie intake you roughly want for each meal is. And it can generate a list of ideas, recipes, a grocery list from there, and really help you outsource a lot of the medial tasks that take a lot of energy and mind space in your day to day.

One of the things that's so amazing to me about it that I discovered after reading your book is that it isn't just that you ask it to do something and it does it and that's it. You can refine and say, no, that's not what I was looking for, or here's a document, read this and now tell me something that's not what I was looking for, or here's a document, read this and tell me, now tell me something that you didn't know before.

I mean, it's so malleable. You can, it's like clay. You can make it do almost anything. Absolutely. And it is always better when you collaborate with it as well. You can refine it to make it more personalized. You can give it feedback.

It's almost like a co-collaborator. And it really is a magical tool when you first use it, because realizing that it can unlock this, it's like having a second intelligence in the room with you. What is it doing when it's doing all these things? And I know that's a big question, and I'm asking for a little answer. But give it a shot. Yeah.

Key thing to understand, unlike a search engine, these tools are not going and browsing a massive database of information, plucking out a paragraph or two and then pasting them back to you. They're not doing what a Google search might where it's browsing all the URLs on the web and finding the content that

most matches your search. Instead, it is a predictive tool. So it's predicting the best possible answer word by word, or more technically token by token, so a fraction of a word, to give you an answer based off of the words you put into it. It's basically like a very, very advanced autocorrect. How it's able to do this is these tools were trained off of a massive amount of data. So think about the contents of the entire internet, for example. The computer is able to run a lot of complex calculations and notice different patterns within language.

So it basically became very good at mimicking human language patterns and assigns weights to different patterns within language. So it basically became very good at mimicking human language patterns and assigns weights to different words. So for example, it might know that the word kitten is more frequently associated with cat than puppy. And over time, all those different things informs the model that allows us to interact with these tools, the large language model. But all you need to know is effectively it's not

retrieving information. It is predicting the best possible answer word by word based off of this massive training model that it has developed. There are different AI tools. ChatGPT is the one that I think a lot of us that comes to mind immediately is the one to go to, but there are others.

What are the differences between them? Are they more or less interchangeable or not? Certainly, I find them to be more or less interchangeable. So you have Chat GPT, kind of the leader, the most well-known, but there are countless tools in this arena. If you're looking for a more general purpose AI, that can do kind of everything leader, the most well-known. But there are countless tools in this arena. If you're looking for a more general purpose AI that can do kind of everything that I mentioned before, Chat GPT, Google Gemini, Claude AI is another one, Perplexity, Microsoft Copilot,

Meta has an AI now that also has a chat interface. All of these tools can do all of that text-based generation. There's some subtle differences between the different tools in terms of the extra functionalities they have. But as these companies behind them are developing and trying to compete with each other, they are frequently introducing the same features and functionality that, you know, chat GPT might've just released so they can keep up. So some examples are attachments. For in the early days of ChatGPT and these other tools,

many did not allow you to say attach a PDF to your questionnaire query. Now ChatGPT can do that, Clawed AI can do that, Google Gemini, you can connect it with your Google Drive, Microsoft Copilot works in sync with your Microsoft 365 Suite, so that you can now communicate with those PDFs. Other examples, as we mentioned earlier, web browsing.

All of these different tools, with the exception of Claude that I mentioned earlier, can now actually go and browse the web, generate a response summarizing what it finds, and then link back out to the source that it got that from. So all of these tools have subtle differences, but by and large, I try and encourage people to, you know, if you have one that you like, and especially if it's free and you're just

getting started, experiment, play around with it in no time. If some competitor launches a new feature, it probably won't be long until they launch their own version of the same thing, because these tools are evolving so quickly, and they're all trying to stay competitive with each other. If I were to ask an AI tool like ChatGPT, give me a snappier title for this, or give me a, like how does it know what snappier means or does it?

So it doesn't really know anything, I guess, is the one way to put it. It's not actually intelligent, but it is artificially so. So snappier, you know, kind of how thesaurus works really. Snappier is associated with other words like catchy, zingy, you know, all these other things. And in its training data, it's associated snappy characters in a text it might have been trained off of.

Maybe a character is described as snappy in their dialogue at some point in time. It starts to associate those words with different kinds of output. So it's hard to explain it exactly, but it does have a very advanced way of understanding human language patterns and human language context and meeting. So if you ask it to be snappier, it will probably else is in your prompt. But because it has become like an expert of mimicking human language patterns, it effectively is very good at

understanding the meanings of words that you use. Now, if you use the gibberish word that had never existed before and said, can you make it more smorgablat? It would have no idea what you meant, but it might come up with something that's similarly silly sounding as smorgablatt, it would have no idea what you meant, but it might come up with something that's, you know, similarly silly sounding as smorgablatt. You and I are getting a great primer in artificial intelligence and how to use it to make your life better. My guest is Celia Quillen. She's author of the book AI for Life. Want to own part of the company that makes your favorite burger? Now you can. With partial shares from TD Direct Investing,

you can own less than one full share. So expensive stocks are within reach. Learn more at td.com slash partial shares. TD, ready for you. For a long time now, I've been recommending the Jordan Harbinger Show as another podcast you might wanna listen to. The Jordan Harbinger Show is different

than something you should know, but as you'll see, it aligns well with this audience. Meaning, if you like this podcast, you're probably going to like that one. The Jordan Harbinger Show. Each episode is a conversation with a different, fascinating guest. Recently, he had on Amanda Ripley talking about how to survive an unthinkable disaster, which strikes close to home for me having just been through the fires and mudslides in California and evacuated twice. He also spoke with Jay Dobbins, who's a former ATF agent who went undercover with the Hells

Angels. Now, that's a conversation worth hearing. And listening to his conversations will make you a more critical thinker about the world around you. Check out the Jordan Harbinger show and there's a good chance it finds its way into your regular rotation of podcasts. The Jordan Harbinger show on Apple Podcasts, Spotify or wherever you listen. So Celia, how do these AI tools like chat GPT, how do they handle things like, like if you were to ask it come up with a clever way to say how does

it know what clever means and does it come up with something clever? I mean, does it make an attempt to be clever? Yes, that's a that's a good way to put it. It is definitely attempt to. You'll see this with the a good way to put it. It is definitely attempt to. You'll see this with the earlier models from Chat GPT. These tools are slowly getting better at it. But if you ask it to, for example, make something funny, make it funnier, it will have a little bit more trouble with that.

It will kind of give you a response back that sounds like it could be a premise for a joke, but then it does the punchline falls flat. And that's an important thing to understand about these tools is they don't have the same, you know, human experience that we have. They don't really know anything. They're just guessing at the best answer. So I believe at some point I asked it to tell me a knock knock joke about the dentist. And it was like, knock, knock, who's there dentist, dentist to cavity another. And it, you know knock, knock, who's there? Dentist, dentist who? Cavity another? And that doesn't make any sense to us,

but it was in the structure of a joke. Right, right. But for the most part, I think humor is the one that really falls flat on. But cleverness, if you ask it to create 10 clever headlines, maybe one of them, you plug it out after you read it through as a human, is clever. The other nine might not be so much,

but one of those 10 is bound to get you a little closer to where you want to be. And how do we know when, how accurate are these things? Like when you ask it a question, how confident should you be that the answer you got back, assuming it's a factually based answer, is correct?

That is a super good question. And the answer is you should be always a little skeptical with everything, especially if it's a super niche topic. Because these tools do create, you know, they're best, they're just predicting the next best answer, that prediction could be wrong, just like how the weather prediction might be wrong for the day if you're looking at your weather app. But these tools are progressively getting better and better and trained

and on more data sets, which are making them less likely to what we call hallucinate. Mathematics, they used to be terrible at predicting the best answer to a mathematical question. Now the more advanced models, especially those that are called deep reasoning models, where they kind of, when they generate a response to you, it takes a little bit longer because it's actually running through its response through itself over and over again to see if it's really getting to the best answer, those will be more likely to be correct. Now when it comes to general questions about things

that are likely, there's likely a lot of information about it on the internet, for example. Therefore, it's likely trained on a lot of that data. Like, why is the sky blue? It's probably going to give a pretty solid answer to that. If you ask it about a very niche disease that just appeared in the world that hasn't been heavily researched,

it's probably going to give you an answer, but it may not be correct. The best thing I tell people to do is that when you use these tools as a jumping-off point, because they can get you really far, and then do a quick Google search, see if there's a secondary source that backs that up. You'll find that a lot of the time it is totally right. It's enough. It's wrong enough of the time that you should always do that extra step of

fact checking. If I Google, if I, it's just search in a search engine, the best baked lasagna recipe there is, I'll get back results of 10 million lasagna recipes, none of which may or may not be the best. If I ask AI to give me the best, does it somehow put in a judgment that this one or these four are the best,

or will I just get 10 million baked lasagna recipes? You'll get one lasagna recipe back. It will not necessarily be the best lasagna. Best is arbitrary. But you will get a recipe back that is most likely to result in a lasagna. That's the best way I can put it. So if you truly want to have the vetted best ranked lasagna,

lots of great ratings, Google might still be the best way to go. But if you're looking to just get started, I wanna try and cook something quick. I do this all the time. How do I, give me a quick recipe. I have chicken, asparagus, parmesan, and tomato sauce in my fridge.

What can I make with this? It will generate back a recipe that will result in something tasty. It may not be the best thing you've ever made, but it will get you there. And that is again, because it's taking in all of the data it has of all the lasagna recipes that are in its training data,

which is likely a massive amount because they are effectively trained on the whole variety of things on the internet. One of the first things that struck me and that I noticed that makes it so different an experience than dealing with a search engine is, if you ask for a baked lasagna recipe, you get one. Because you asked for one.

So why not ask for 10 if you really want to sort through them? But it takes you very literally, whereas a search engine will give you as many baked lasagna recipes as it can find, seemingly. But AI gives you exactly what you asked for. You asked for one, here's one. That's correct.

You ask for one, you get one. Now, you could ask for five, and it'll give you five different ones. I do say in the case of a recipe, if you're looking for a recipe, most of these tools have a certain text-based cutoff. After they generate a certain number of words, they'll finish the answer.

That way, they don't go on forever, and you'll have 10 pages of content to read. So if you're looking for recipes, for example, sometimes you're better off asking for one and then saying, okay, that sounds okay, but could I have another? And then it generates another one. But I like it, honestly,

instead of having to scroll through endless pages of search results and then click through them, scroll past all of the ads and all of the recipe blogs tend to have a lot of extra context up front that has nothing to do with the recipe, ChatGBT will give you exactly what you want, nicely packaged, short and sweet. And if you don't like it, you can ask for another one and it'll generate it just about as quickly.

So tell me something that you've done with AI that I wouldn't have thought to do that was really, really cool. Couple of years ago, I planned a whole trip to Puerto Rico with it. I did not know where I wanted to go. I just knew I wanted to go on a vacation. I knew what the criteria that I wanted were. My husband where I wanted to go. I just knew I wanted to go on a vacation. I knew what the criteria that I wanted were.

My husband and I wanted to go on a nice romantic trip together somewhere warm that we had never been before that maybe it was a little bit tropical but was in a certain distance. I mean, we don't want to go to Hawaii. It was too far away and it generated a bunch. I asked it to generate 10 recommendations based off of all that criteria.

Generated 10 recommendations. Then I had it do some more research on, OK, tell me more about Puerto Rico. Once we had landed on that trip within basically 10 minutes, I had it make a table breaking down all the different activities that we could possibly do there based off of the price per person, based off of a description.

Describe it, give me a price per person, based off of a description, like describe it, give me a price per person, give me where it is relative to the hotel we're thinking about staying at. And it just accomplished so much research tasks that it would have taken me hours and hours and hours on Google popping through different travel blogs trying to find responses.

So that's one thing, just everything related to travel planning. Related to that, the vision capabilities on these tools, which is basically being able to take a picture and ask questions about it is huge. You can snap a picture of a menu at a restaurant and ask, I'm on this kind of diet, I'm looking for lower sodium, I'm trying to be gluten-free,

but I don't know what has gluten in it. It's kind of one of those fancy menus that has menu items that I've never heard about listed on the menu. Could you describe what this dish probably is or go and describe in layman's term what this fancy menu means or translate this menu entirely in French into English?

It can analyze data now. Chat GPT has a data analysis feature. So I personally track all of my finances in a spreadsheet. I can attach it into chat GPT with all the different inputs of how much money is in what account and have it create graphs and charts and analyze, you know, what's going up down, what I should be considering. There are so many things it can do, I could go on forever. What I have found so interesting about it is A, it is so easy to use,

and the more you use it, the more you wanna use it, and the more you wanna use it, the more things you find it can do. It's just remarkable. Absolutely, yeah. And It's just remarkable. Absolutely. Yeah. And it's really great. I mean, it is truly a collaborative tool.

It is like engaging with a second person in the room. So if you're trying to sort through a problem and that's another use case, if you're an interpersonal problem with a family member or friend, and you just need something to bounce ideas off of and get advice from, it's surprisingly good at delivering mature, thoughtful, somewhat objective advice as long as you ask for that. And it's very collaborative and creative. It's just an expert at mimicking

how humans communicate. I remember you said in the book something about some of them may tell you it can't do something and you can correct them and say no you do have that ability. That's correct sometimes it will say sometimes these tools will say I'm sorry I can't help you with that I don't have the ability to browse the web but if you know it can browse the web because either you've because you've tried it probably in the past before then it will say okay I'll go do it now and then it will come back to you and you'll know it did it because you'll be able to see a link that you can click through on.

How are these things and at what rate are these things like ChatGPT and the other ones getting better? The level of progress they've made in the past two years, two and a half years since they released is insane. So they will be able to do more and more advanced things as time progresses. Well, I love how you make this so easy and so accessible because, you know, I mean, AI at first glance might seem a bit intimidating and overwhelming, but you make it so not that. So thanks. Celia Quillen has been my guest. She's an expert in artificial intelligence

and she is author of the book, AI for Life, 100 Plus Ways to Use Artificial Intelligence to Make Your Life Easier, More Productive, and More Fun. There's a link to her book in the show notes. Well done Celia, thanks. Thank you so much, Mike. It was a pleasure. A while back we had Ramit Sethi on as a guest, and he's one of the smartest people you'll

ever know when it comes to everyday money matters. And he was here talking about money and couples. As it turns out, he has his own podcast called Money for Couples, which if you're part of a couple, then I highly recommend you listen to this podcast. Because when you do, instead of fighting about money, you and your partner will discover how to start building a rich life together. Money for Couples is a podcast full of real-life actionable advice like how to pay off your debt and still enjoy your life, how to build a shared financial vision, how to spend extravagantly on what

you love and cut back on what you don't. And you'll learn from real-world stories of couples facing the same money challenges as you. All of the episodes are helpful, but if I had to pick one or two, there's one called �We make $300,000 a year but spend like we make a million. That's a situation I think a lot of people can relate to. And another is called, we've saved for retirement but have no money to spend now. Money for Couples is the name of the podcast, hosted by Ramit Sethi. And all you have to do is search for Money for Couples wherever you listen to your favorite

podcasts. I'm Amy Nicholson, the film critic for the LA Times. And I'm Paul Scheer, an actor, writer, and director. You might know me from The League, Veep, or my non-eligible for Academy Award role in Twisters. We come together to host Unspooled, a podcast where we talk about good movies, critical hits, fan favorites, must-sees, and acasio-mystems.

We're talking Parasite the Home Alone. From Grease to the Dark Knight. So if you love movies like we do, come along on our cinematic adventure. Listen to Unspooled wherever you get your podcasts. And don't forget to hit the follow button. Uncertainty is a constant we live with every moment. We never know what's going to happen.

And sometimes that's fine. We don't always want to know what's coming. But not knowing can also be problematic. I mean, some things we would really prefer to know before they happen. Nevertheless, we live with uncertainty. And joining me to help make sense out of all the uncertainty that lies before you is David Spiegelhalter. He is Emeritus Professor of Statistics at the University of Cambridge and author of the book, The Art of Uncertainty, How to Navigate Chance, Ignorance, Risk and Luck. Hey David, thanks for being a guest on Something You Should Know.

It's a great pleasure to be here. So uncertainty is just part of life. It's there, there it is. So why do you study it? Oh, I think it's fascinating. I mean, it's just part of being human. It's all around us. We don't know what's gonna happen

and we don't know what's happening. We don't know what's happened and we don't know why. And we live with that all the time and we're happy with that. I mean, I always ask people, well, would you want to know how a football match was gonna end if you'd recorded it? And would you wanna know what you're gonna get for Christmas?

And even, and of course they say no, and even would you like to know when you're gonna die? Which of course I can't tell them, but very few people actually say they would like to know. Some do, but very few people actually say they would like to know. Some do, but very few. And so I always think of uncertainty as a relationship between ourselves and the outside world. Somebody's called it the conscious awareness of ignorance,

which I really like, because it really puts that in, in something we own, you know, our personal ignorance. And that can vary so much from person to person. And so why doesn't the conversation end there? Some things are uncertain, you'll never know until you know, and have a nice day. That's it. Well, I'm a statistician. So I spent my entire career in a way analyzing uncertainty, using data and evidence to try

to reduce our uncertainty and even try to quantify our uncertainty to actually get a handle on what we don't know. And I really strongly believe that we should, when possible, try to put our uncertainty into numbers. I mean, we all use words like could, perhaps, likely, and everything in our everyday language. But actually, those can be very dangerous. And I always refer back to 1961, when Kennedy became president and found out about the CIA planned invasion of the Bay of Pigs at Cuba to topple Castro's government with 1500 Cuban

exiles. And he commissioned the Joint Chiefs of Staff to do an intelligence report on that and they thought it was not a very good idea at all and thought that it was about 30 to 70 chance of success, in other words 70% chance of failure. But in the report that went to Kennedy the numbers got taken out and it got replaced by bizarrely the term a fair chance of success and they meant not very good but I don't think that's how anybody else would interpret it. Of course that's not the only reason he approved the raid which of course was a complete fiasco but people have learned from that and now in intelligence people really try to put numbers on their judgments. In the UK, you, if you're in MI5 or MI6 and you use the term likely, you mean between 55 and 75%

probability. And if anyone assesses a 30% chance of success, they have to use the word unlikely to communicate that number. So there's a sort of lookup table between words and numbers. Somewhere in this discussion has to come human nature, because numbers don't tell you everything. For example, it is much safer to fly than it is to drive in a car. But a lot of people don't live that. They know it intellectually, but flying scares them to death.

And so the probabilities don't mean much because they ignore them. Yeah, I know. I mean, this has been studied for ages. I'm not a psychologist, but you know, I think it's well known that, you know, people do have an anxiety about, you know, losing, not having control of their lives.

They feel particularly bad when, you know, something risk might be imposed upon them by something else. They're particularly scared of things that they don't understand very well or have really dread results giving people cancer and so on. And that makes people anxious about certain things where actually maybe they're not the main things they should be anxious about. When people started doing this research in the 1980s, microwave ovens came very high

on the risk index in terms of people's fears and anxieties. And that's gone down. There's some fashions in risk in what people are anxious about and what they aren't. But it is true. Our feelings come into how we feel about risk and uncertainty all the time. We can't just wave our fingers at people and say, oh, how silly you are that you're worried about this and you all the time. We can't just wave our fingers at people and say, oh, how silly you are that you're worried about this and you're not worried about and you're not worried about something else. You know, I don't think we should do that. I think we should acknowledge people's concerns and try to give them the best evidence in the clearest way so that they can make an informed choice. We shouldn't be propagandizing people trying to manipulate

their feelings either to reassure them or to frighten them. And that's why in my work, I really push this idea of trustworthy communication. Why should anyone trust scientists, experts, authorities and things if they feel they're being manipulated? And that means actually giving people information that's balanced and that does talk about the benefits and harms possibly of vaccines, for example. And perhaps don't use the phrase vaccines are safe and effective, but say, yeah, they're safe enough and effective enough to use in some people

in some circumstances. Talk about luck, because luck seems to throw a monkey wrench into everything. I mean, people say, you's really stupid to play the lottery. Your chances of winning are just so ridiculous. Well, tell that to the guy that won $300 million, you know, turned out to be a pretty good deal. Yeah, I like the idea of luck. I mean, I don't believe that luck is some external force that operates in our life,

but I do think it's quite useful as a description looking backwards at things that happened to us that were out of our control and were unpredictable and yet had a big impact like winning the lottery or being knocked down by a car. So, you know, these are all things that could happen to us and philosophers have identified in fact the most important type of luck which is what called constitutive luck which is just who you're born as. Actually maybe even before that there's existential luck which is the luck of being born at all because it's extraordinary that any of us are born the chain of circumstances that are required for that. But given you are born who you're born as in the world is incredibly important for the rest of your life. You know, who your parents are, the country, time of history, etc. etc. Your genes, you know, your early environment or so, you've got no control over these at all. And yet they're

staggeringly important for the rest of your life. So that's the biggest bit of luck that you have, just who you are. And then of course, you got what's called circumstantial luck, which is being at the right place at the right time, meeting your wife on a train as somebody I know did, and or being like my grandfather, being at the wrong place at the wrong time and being blown up by a shell in 1918 in the Western front. And then you've got outcome luck,

which is just how it happens to work out for you at that particular moment. Like, you know, I know a friend of mine was on a plane that crashed. Seriously, nearly everyone board was killed. Terrible circumstantial luck to be on that plane, but really good outcome luck because he survived. Similarly, my grandfather, actually the shell, you know, blew him up. But only not severely enough. He was taken off the front line and survived the war. Otherwise I wouldn't be here.

Well, we're glad you are. Yeah, exactly. So am I. But I very nearly couldn't be just like all of us. It is amazing. Any of us are here at all, really. What about coincidences? Are they a thing or it's just that's just there's just so many things going on that there's bound to be? Yeah, I again, I know that I don't think there's some external force. I mean, people do talk about

a force like synchronicity, which Jung invented or seriality and things. I don't believe that. I think they just happen because there's so many opportunities for them to happen. And also I think it's very, they happen because randomness, true randomness is very clumpy indeed. You know, just because things are random, they're not equally spaced. So, you know, I know that if I've got 20 people and I asked them the last two digits of their cell phone number, there's an 87% chance that I'll get a match in that group of 20 people and I asked them the last two digits of their cell phone number, there's an 87% chance that I'll get a match in that group of 20 people. And some people would think, oh wow, what a coincidence. I think, no, it's utterly predictable that that'll

happen. So, you know, the clumpiness of randomness leads to coincidences occurring and they're quite difficult to interpret. And that's why anybody who talks about a coincidence, they really need to get some expertise in there to try to evaluate that. Our human intuition about it is terrible, absolutely awful about probability in general. We're really bad at it. What are some other things like that? Like what you just said about if you had 20 people in a room and they the last two digits of their phone number, things like that, those kind of probabilities in everyday life that people probably have no idea are true?

then there's 50-50 chance that two of them will share a birthday. And that is something you find quite difficult. So in a on a soccer field, there's 23 players, 11 in each team, and the referee. So in half of all soccer games, there's two people on the pitch with the same birthday. And that, I think people do find quite difficult to tell. I mean, and it's shown, people have shown it again and again. So it works. And you can prove it mathematically fairly easily. But it is something that doesn't correspond to our intuition. But there are other things that go the other way. That's something that we think is, whoa, that's surprising. It happens so often.

The other thing that actually happens is surprisingly rare is shuffling a pack of cards. Now, if I shuffle a pack of cards properly and give it a good shuffle, I could be absolutely confident, bet you all the money in the world, that nobody in the entire history of humanity has ever had the cards in that order before.

And then I can shuffle them again into a good shuffle. And I say, nobody in the entire history of humanity has ever had the cards in that order before. So no, and not just now, it's unbelievably unlikely that anyone ever, and no two people in the whole history of humanity have ever had a pack of cards in the same order after a good shuffle.

And that's, people find that really difficult to believe because it's not intuitive just how many shuffles there are. And you know, you can do the sums, it's sort of 52 for the first card and 51 choices for the second card and 50 for the third card. And you multiply all those numbers up together and you get a very good number. In fact, the number is about the same as the number of atoms in our galaxy. It's, you know, it's got 78 zeros, I think beyond it, you know, it's an unbelievably massive number, and that's not intuitive at all. Wait a minute. You're saying that if you shuffle a deck of cards, the number of the different number of orders that you could come up with is a number with 78 zeros.

Yep. As many atoms as there are in the whole galaxy. And so the shuffle you come up with after a good shuffle, nobody will ever have done before. You can be almost certain of it. You can't prove it equals logically true. But statistically, it is just unbelievably unlikely. Yeah, that's an amazing fact that... Yeah, yeah, it is quite surprising. You know what that reminds me of is when people say, there are no two snowflakes alike.

Well, how would you ever know that? How would you ever know that? How would you prove it? That's true. It is difficult because you can't prove it. You can't look at every snowflake. I don't know every shuffle that's ever been done difficult because you can't prove it. You can't look at every snowflake. I don't know every shuffle that's ever been done,

but you can do the sums and you can work out just how incredibly unlikely a match would be. What about the phenomenon? It often happens in weather and whatnot. It's called the perfect storm where multiple things come together to create total havoc. Yeah. Yeah.

Taleb uses the frame black swan, which is essentially a really completely unpredictable event that occurs and then people find an excuse for it. Perfect storm is different. It's just a very extreme example of something fairly familiar. And you know, the story I use is about this boat, the MV Derbyshire, which is twice the size of the Titanic and disappeared without trace in 1974. And so they had no idea what happened.

And eventually they found, I think 12 years later, they found the wreck and there was an inquiry and two statisticians who I know took part in the analysis of that, and they'd done simulations on wave tanks and things like this. And they worked out that the boat, it was in a typhoon, went into a perfect storm.

And suddenly, a wave, they reckon, could have been 25 meters high, the entire weight of it went onto the front of the boat, the front hatch and caved it in. And then there was a chain reaction and all the, all the, you know, the containers in the ship just sort of, just, you know, caved in and the ship went down in seconds.

They didn't even have time to send a distress call. And that was, they used this, you know, technical stuff of extreme value theory, but it was an example of a perfect storm in which an event happened that had never, more extreme than anything that had ever been observed before, but with the appropriate analysis, you can show that it's quite plausible that it happened.

What did you say about what's a black swan? Oh, a black swan, that was what the Taliban invented. A black swan is something that it's like, you know, people thought all swans were white and then they went to Australia and found a black swan. And so it's something that you never even crossed your mind, a complete unknown unknown in Rumsfeld's language, you know, so you never even crossed your mind, a complete unknown unknown in Rumsfeld's language, so you never even crossed your mind that it was there. And then suddenly it's there.

And usually of course, people then very quickly find a reason to explain why it happened, but it's a qualitatively different event from something that has happened before. And again, I think it's useful to distinguish that from a perfect storm, which is just an extreme version of something that's is familiar. So what do we do with all of this? I mean, knowing what you know, on a day to day basis, like what, what, how does this

fit into your life that you do that I don't do because you know what you know? I kind of, I got a few principles to do, which is try to look at the possible futures, you know, try to think of what might happen, what might go wrong and without getting too anxious about it and then take some mitigating circumstances, you know, instead of buying insurance and stuff like that when you go traveling, taking risks, but not being reckless. That's what I always say to kids when I talk about this stuff, take Take risks but don't be reckless. In other words, protect yourself against the severe downsides of what might happen. But go for it because people have found that people who are considered lucky, well actually they've got particular personal characteristics of

being bold, taking advantage of opportunities for having a positive mindset of going for things, acknowledging it's not always going to work out. So I kind of think that I try to do that, but without being... I won't get on a motorbike for example. I always think I would love it, but I'm not going to get on a motorbike. But I will often have other adventures, which I feel are okay. So I kind of try to weigh things up, not using numbers, but just trying to think about, you know, roughly what are the risks that I'm concerned about. Do you sense people are overly worried about risk or do we have it kind of right? Oh, that's very difficult. There's huge variation.

You must know in the people you know. You'll know some people who are very cautious, rather anxious, always concerned. One in a million chance well is always the one and things like that. And others who are more gung-ho and go for it and kind of ignore are not too sensitive, are bold, possibly even reckless. And so there's enormous variation in our reaction to it. I think what's more important than that, and that's how

individuals are, people are different. When it comes to sort of societies, when people are making judgments on behalf of us about what risks society is prepared to take, then I think, you know, it is interesting just how much cautious some, you know, some policies are compared with others, just because actually people are really concerned about, for example, nuclear power or nuclear waste, and so vast amounts of money is spent to possibly have negligible effect in reducing the risk as the risk is so small in the first place and so you know I think when it comes to societal decisions we should be expecting people to take what's a rational but a balanced approach to actually looking at the important things

and not I personally feel not following people's anxieties. Yeah. Well, you know, it's funny cause I, I think of myself as a fair, fairly cautious person, but I also know as I look back on my life, things have a way of working out for the most part that, that seldom, I mean, I have not been the victim of any huge disaster and, and you know, we just had the fires here in California. We have friends that lost their home, but they'll be okay. I mean, it will eventually, there will be a path to recovery

and things work out. This is the important thing, which I always emphasize, which is resilience. And the point is that, you know, we can't stop everything stuff happens, we can't stop everything bad happening to us, and we got to die anyway. So the crucial thing is resilience, which is being able to deal with stuff as it comes along of, you know, recover as best as you can. And it's resilience to things

you never even thought of. I mean, you can protect yourself to some extent against things you have thought of. But in the end, what we needs is reserves, both I think mental and monetary if possible, but certainly mental reserves to deal with unexpected things. The illnesses are gonna happen, the dramas, the things that are gonna happen

to the people around you, the people you love, you've got to be deal with it. That's that is what how things go. And so I don't know if you can train people into resilience, but it's certainly a characteristic that is, I think the most valuable thing to have in an age of uncertainty. I still can't believe that thing about shuffling cards. I mean, that is just unbelievable. But it's all about this discussion

of certainty and uncertainty. David Spiegelhalter has been my guest. He is emeritus professor of statistics at the University of Cambridge and author of the book, The Art of Uncertainty, How to Navigate Chance, Ignorance, Risk, and Luck. And there's a link to his book at Amazon in the show notes. David, thanks.

Thanks for sharing. Thanks very much. You would think there is one place where you would be safe from all the troubles in the world, and that would be in the shower. Yet there are hazards lurking in your shower. For example, did you know showering in a thunderstorm is dangerous? It's actually dangerous to be near any plumbing or wiring inside your house when there are thunderstorms going on outside. This is according to the Lightning Injury Research Program at the University

of Illinois at Chicago. Lightning can hit a power line or the ground and then come right up through your water pipes. Using an old shower head can be trouble. A lot of shower heads contain potentially dangerous bacteria, according to a study from the University of Colorado at Boulder, that's because they're full of these little nooks and crannies that provide an ideal home for microbes. It's better to use a rain type shower head or take the shower head off altogether and go with a single stream of water. Yeah, I don't think I'm gonna do that. Using a dirty loofah or washcloth or brush. They may be good for exfoliating the skin,

but those things are loaded with germs unless you wash them regularly. You should soak them once a week in a diluted vinegar soak or run them through the dishwasher. And not having a bath mat is asking for trouble. According to a report from the Center for Disease Control and Prevention, more than 230,000 accidental injuries occur in the bathroom or shower in one year and almost 20% of those injuries are due to slipping and falling. So it is best to have those non-slip strips or a non-slip bath mat in your tub. And that is something you should know. You know, podcasting is a very competitive business. We're always competing for new listeners and one of the best ways to get them is for

you to recommend this podcast to people you know. It really helps us and then they become listeners and hopefully they'll tell people and our audience continues to grow. So please share this podcast with people you know and it's a great way to show your support. I'm Mike Herbrothers. Thanks for listening today to Something You Should Know. For a long time now, I've been recommending The Jordan Harbinger Show as another podcast you might want to listen to. The Jordan Harbinger Show is different than something you should know, but as you'll see, it aligns well with this audience.

Meaning, if you like this podcast, you're probably going to like that one. The Jordan Harbinger Show. Each episode is a conversation with a different, fascinating guest. Recently he had on Amanda Ripley talking about how to survive an unthinkable disaster, which strikes close to home for me having just been through the fires and mudslides in California and evacuated twice. He also spoke with Jay Dobbins, who is a former ATF agent who went undercover with the Hells Angels. Now that's a conversation worth hearing.

And listening to his conversations will make you a more critical thinker about the world around you. Check out The Jordan Harbinger Show, and there's a good chance it finds its way into your regular rotation of podcasts. The Jordan Harbinger Show on Apple Podcasts, Spotify or wherever you listen. Have you ever heard about the 19th century French actress with so many lovers that they formed a lover's union? Or what about the Aboriginal Australian bandit who faked going

into labor just to escape the police, which she did escape from them. It was a great plan. How about the French queen who murdered her rival with poison gloves? I'm Anne Foster, host of the feminist women's history comedy podcast, Vulgar History. Every week I share the saga of a woman from history whose story you probably didn't already know, and you will never forget after you hear it. Sometimes we re-examine well-known people like Cleopatra or Pocahontas, sharing the truth behind their legends. Sometimes we look at the scandalous women you'll never find in a history textbook. Listen to Vulgar History wherever you get podcasts.

And if you're curious, the people I was talking about before, the Australian woman is named Mary Anne Bug and the French actress was named Rochelle, no less name, just Rochelle. And the queen who poisoned her rival is Catherine de Medici. I have episodes about all of them.