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PAPod 521 - Navigating Risk and Chance: Lessons from a Bluegrass Festival

PreAccident Investigation Podcast

The Pre Accident Podcast is an ongoing discussion of Human Performance, Systems Safety, & Safety Culture.

Show Notes

Join Todd Conklin in this engaging episode of Pre-Accident Investigation as he reflects on an unexpected experience at a bluegrass festival that was interrupted by lightning. Through this anecdote, Todd explores the intriguing concepts of risk, chance, and control, delving into the differences between them and their implications in the world of safety.


Discover how the inability to predict the future emphasizes the need for systems that are not only robust but also resilient, capable of absorbing and managing unforeseen events. Todd discusses the importance of focusing on recoverability and flexibility in operations, rather than solely on risk prediction. This episode challenges traditional views on risk assessment and encourages a shift towards enhancing control and adaptability in safety management.


As Todd celebrates his birthday, he shares personal reflections on the value of friendships and gratitude, while inviting listeners to ponder their own thinking time. Tune in for an insightful discussion that blends personal stories with professional insights, all while encouraging you to learn something new, have fun, and stay safe.


Show Transcript

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So I was at a bluegrass festival earlier this year. Let's just go with that.

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And Saturday night, the big night, that's when they always have kind of the

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big shows on the main stage.

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And usually the final show, the Saturday night closeout show,

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is the giant act, the one everyone comes to see.

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And they canceled the show because of lightning, which makes sense.

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I mean, it's an outdoor festival.

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Lightning is, you know, lightning. They're standing up there with wires and

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microphones and all sorts of little lightning attractive things.

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And they canceled the show.

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And, of course, everyone was super disappointed.

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But a person I was with said, well, it makes sense because they wanted to manage the risk.

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Music.

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Hey, everybody, Todd Conklin, Pre-Accident Investigation, and it's time for

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the pod. So I hope you're doing well.

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This is a very interesting time. This is always the first part of November,

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which is, you know, when I was born. It's my birthday time.

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But it's really fun because I have loads of friends, and that's always something

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that I'm very grateful of. there are many of us that are all born kind of in the same time.

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Like there are four of us, and we hang out pretty regularly,

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that are all born within like a week of each other.

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So it's kind of a fun time, and we usually do big, giant celebrations and have all sorts of fun.

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And it's happening again this year. I mean, I'm sure you got your invitation.

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If you didn't, it's coming in the mail. It'll be there soon for some kind of

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giant, you know, probably on a yacht, maybe a blimp, some kind of giant party.

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I'm sure we'll have that planned for this year.

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And I'll give you a full report on what happens, which tattoos were received,

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who gave them, were there misspellings, you know, the normal kind of stuff we talk about.

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That's all exciting. So that's fun.

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And other than that, just, you know, kind of winding the year down,

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which is always kind of a good time as well.

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It's been interesting. I've gotten kind of a lot of bicycle time,

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which I always think is good time.

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Because I've decided when I ride my bicycle...

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I've got two things that I've decided. One is it's a really good time to think.

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And do you have a time to think? I mean, I'd be curious to kind of wonder what

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your thinking time is, where it is.

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But it's kind of nice to have a place where you can just think.

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And so that's always a huge fringe benefit of going out for a bike ride.

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Being outside is great. It's fun to get around. I see people.

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It's funny, when you ride a lot, you see the same people over and over and over again.

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So you kind of, it's kind of funny. You sort of have a relationship,

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even though you don't know this person at all, but you've seen him a million times.

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Like there's a gray-haired guy who listens to the radio who has a Copenhagen

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wheel on his bicycle, and I see him all over town, and I see him with great regularity.

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So that's kind of a fun part of bike riding. The other thing is I've decided

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about one out of every 100 people yell at you, you know, get off the road or some other thing.

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Usually you just kind of smile and wave, which kind of cuts the payoff for them

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and reduces the amount of exposure for something weird happening.

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But that's always kind of an interesting part of riding the bicycle.

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And so that's been really fun and a great time.

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And, you know, other than that, it's November.

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What else can I say? November is November.

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And November is always pretty fun.

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I'm recording this before the election results.

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So I don't have any idea what's going to happen.

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And as I've said to you a million times, and you've said it back to me a million

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and one times, human beings are relatively bad at predicting.

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And we're going to talk about that today a little bit. And because we're bad

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at predicting, I have no idea what's going to happen. But we'll see.

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You know, that's all going to see.

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It's just a really exciting time to be alive. And it's even a more exciting

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time to spend with you and do a quick podcast, which is exactly what I want

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to do. So before we go much further...

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Let's pick up where the story left off.

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So yeah, so this friend says they've got to manage risk.

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And I said, is it risk? Are they managing risk?

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Are they managing chance?

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Because I started thinking about this because I guess we had nothing else to

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do. They canceled the show.

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And I thought risk is defined.

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And I guess lightning is risky. I mean, I think I'd lose that argument if I

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tried to have that argument with you.

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But it strikes me that lightning is more of a chance than a risk.

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And I think it has to do with maybe the amount of control we have as human beings.

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Now, the term for that is agency, the amount of agency we have as human beings.

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But I started thinking about it, and it's really kind of the old,

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are you good or are you lucky?

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And so I think that's something we should talk about because this has really

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been on my mind, partially because I was super disappointed that the show got

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canceled because there were a couple of really good bands.

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And if I think of the name, see, I don't even remember the name of them.

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One was especially good. They're from California, kind of jazzy,

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bluegrass jazz kind of combo.

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But anyway, this idea that risk is what we control is kind of an interesting

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idea. So we can define all these terms.

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I mean, they all have definitions, and you probably know them all.

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Risk, traditionally, I've always looked at risk as the probability that a person

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will be harmed if something happens, if exposed to a hazard.

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So it's probability, I guess, times consequence. I hate to make fake math equations,

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but there's a relationship between probability and consequence,

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which lets us do kind of a risk ranking.

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But I've told you before, and because we've talked about this a bunch,

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that risk ranking is never really about risk. It's about resource management.

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But risk is really that idea, what's the chance that this bad thing could happen?

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Oh, man, I just used the word chance, and I'm trying to build this case between risk and chance.

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What's the probability that this bad thing could happen? I may solve my own

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problem in the middle of this podcast. Who knows?

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And so risk is really interesting. And a lot of people think about this a lot.

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I mean, this really, like John Adams, if you haven't read him,

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his work on risk is very, very interesting.

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And there's a lot of people that think about this.

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It's funny, you don't hear it so much amongst the scholars of kind of the new safety thinking.

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They don't really talk a lot about risk. And partially because,

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generally speaking, risk has been in the domain of kind of the safety engineers.

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Engineers so they can do a calculation and determine numerically what risk is going to be.

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And I'm not saying these are bad things. I'm just saying that's kind of how

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this has worked traditionally.

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The new safety scholars will tell you that in a complex world with highly adaptive sort of systems,

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that the ability to do a calculation is really leaning on kind of old school

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thinking, kind of linear thinking in a nonlinear world that it'd be hard to calculate.

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So we talked about this. I mean, we've struggled with this for a while.

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And one of the things that happened, at least in the world I live in,

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is we realized that risk ranking, because it's based upon resource availability,

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how much are we going to spend to manage this potential thing that has not happened yet?

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It really was sort of dictated by potential consequence.

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So that's where consequence comes in. So if it's highly likely that it'll happen,

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but the consequence is super low, then that didn't warrant a lot of attention.

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But if it's highly unlikely that it'll happen, but if it did,

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the consequence was super high,

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then we found the ability to resource that and provide control or barriers or

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somehow mitigate the hazard as it was.

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And that is kind of interesting because is risk different than hazard?

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Well, they're very different words.

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Risk is that probability of something bad happening. The hazard is the actual

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thing. So you can take a picture of a hazard.

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But then where does chance come in?

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And chance is really pretty interesting, because one of the things that I'm

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sure you're doing with your organization, and if you're not,

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you should be, is every time a near miss is reported, simply ask,

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were we good or were we lucky?

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And no matter what the answer, if they say, well, you had a near miss and you

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say, were you good or you're lucky? And they say we were good.

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We had the right controls in place. We had the right barriers in place.

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We had the right systems in place that when this bad thing happened,

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we were able to manage it and control the consequence.

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Well, that's a good and you should reward that.

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But if they say we had a near miss, you say, were we good or lucky?

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And they say we were lucky.

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And you'll say what happened. and they'll say, well, we had no idea this could

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fail. We never imagined this would fail at this place at this time, and it did.

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Fortunately, when it failed, nobody was around, and so it had very little consequence.

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Henceforth, it's a near miss.

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That's also pretty valuable data because that tells you that you have a hazard

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in the field, an unimagined hazard in the field that you really have no controls over.

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So the system's really brittle there. And learning that in kind of a free way,

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because near misses are gifts, learning that without the consequence,

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without the mess, is actually pretty incredible news.

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And because you got that pretty incredible news, well, you can go out there

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and put some controls around it and make it safer.

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Build a case for it to fail as elegantly and as extensively as it possibly can.

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But I think about this in really terms that we have to practically use.

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Because risk, hazard, and chance are all this need to sort of predict the future.

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And the crazy thing about this is that the amount of effort we spend trying

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to predict the future takes directly away from the amount of effort we spend

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currently trying to affect the future.

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And so it's always kind of better to not use your resources in predicting what

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will happen next in an uncertain world, because we don't really know what that answer is.

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It's probably always better to actually look at carefully and try to affect

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what's happening now in a way that has potential positive outcomes.

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Long story short, because this is kind of becoming a long story,

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that's what shifted the thinking around risk in super high consequence work.

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So instead of managing by probability, chance, lightning, the decision was made

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to assume that the probability of the bad thing happening is 100%.

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Now, that's expensive, and that's time-consuming, and that's resource-intensive.

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But if the consequence is significant, assume it will happen.

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And the best example I can sort of use for this, The one that comes to mind,

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the one that came to mind when we were walking back from the main stage after the show was canceled.

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And by the way, it rained like crazy.

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So it was a good call. A lot of times when they cancel a show,

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then it doesn't rain and you're like, aha, you're overly conservative and you

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ruin the weekend for us. But we totally got the storm out of it.

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So it was a good call. When we were walking back, the discussion really became

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one of thinking in great detail about what this means.

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Because ultimately, probability is the desperate need to predict the future.

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And following data, whatever data we make up or assume, in order to determine

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probability, really assumes that there's an answer and there really isn't an answer.

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We don't know what the future will hold.

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And so if you assume it'll happen, then you can draw yourself to the comparison

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that I gave on the way back.

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And that's fall protection. So why do we put people in fall protection?

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Well, the answer is, and almost always when I ask this question,

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people say, so they don't fall.

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Okay, so that's true, but not really.

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Because fall protection is really weird in that it doesn't really care about the fall part.

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What fall protection cares about is the recovery part, the landing part.

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So we put people in fall protection around the belief that there's 100% chance

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they will fall. And when they do fall, our system's robust enough to provide recoverability.

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We can recover and manage the consequence before it has ultimate and dire outcomes.

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So you fall, you jerk your lanyard, it catches you, you swing against the wall,

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maybe you bruise your ribs, but you didn't land on your head and die.

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Now, that's a really interesting example, because the assumption is,

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is that the probability of the fall is one.

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So when engineers or physicists talk about probability, they always say a probability of one.

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If you're not an engineer or a physicist, what they're really saying is there's

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100 percent chance that's going to happen. We don't know when.

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We just don't know when. But we know it will happen.

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And when it does happen, because we assumed 100% chance of this happening,

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we've actually built into our systems that graceful extensibility that our friend

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David Woods talks about so elegantly in so much of his work.

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We've built recovery.

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And it's really that relationship between robust and resilient. Right.

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Or probability and chance. They all have to exist with each other.

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And so the challenge is, is not that we manage risk, because risk is really

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normal and it's highly dynamic.

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Even if we could predict everything we could think of, we're missing all the

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things we can't think of.

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So if risk assessment really counts on imagination, I can imagine all the ways

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this system will fail, then we're limited by the fact that we can't imagine

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all the things that we need to imagine.

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There will always be the unimaginable. And we're often caught by the fact that

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there are things beyond our imagination.

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And you know that's true. I mean, you learn new stuff all the time.

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You learn new ways for things to happen.

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I talked to somebody just the other day who said they burnt their kitchen in

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their house because they left their crock pot on the counter.

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Well, here's what I'm going to tell you. I never in a million billion years

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imagined a crock pot left on a counter could start a fire because I always assumed

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a crock pot by design was built to be left on the counter.

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It's a slow cooker. I mean, that's what its job is.

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I never thought that it could create enough heat out of the bottom of the crock

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pot to potentially start a fire. but clearly I never imagined that,

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but I talked to somebody that it happened to.

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This idea that somehow risk is the thing we can control, or worse yet,

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chance is the thing we can control, I think that's beyond our scope.

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I just don't think we have the ability to do that.

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And because we can't do it, it sort

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of puts the onus on managing the recoverability. We want robust systems.

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We want strong, preventive-focused systems that stop bad things from happening.

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But we need resilient systems at the same time.

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So that when something unimaginable happens, our system is flexible enough,

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extensible enough, that when it does happen, the system can actually bend and

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sway and actually manage in a positive way the potential failure consequence.

00:17:51.108 --> 00:17:57.588
That's what you think about when you're coming back right before a giant storm

00:17:57.588 --> 00:18:01.828
happens from stage one of a bluegrass festival.

00:18:02.088 --> 00:18:06.188
You think about risk and chance.

00:18:06.388 --> 00:18:10.248
And you think about the relationship that that has.

00:18:10.508 --> 00:18:17.608
The probability of lightning striking that stage was probably gargantuanly high.

00:18:17.608 --> 00:18:20.208
Or maybe gargantuanly low.

00:18:20.728 --> 00:18:22.888
I don't know, because it's lightning.

00:18:23.468 --> 00:18:28.508
The challenge is to build a system that has enough recoverability in it that,

00:18:28.628 --> 00:18:34.048
in fact, we can function elegantly in the midst of uncertainty.

00:18:34.668 --> 00:18:39.788
And to be fair, not to be critical, but to be fair, they didn't have any recoverability

00:18:39.788 --> 00:18:42.088
in the bluegrass. They didn't have another Saturday night.

00:18:42.588 --> 00:18:47.128
So unfortunately, when they canceled those shows, there was no making up for

00:18:47.128 --> 00:18:48.668
it. I mean, there was no other time.

00:18:49.328 --> 00:18:52.048
They couldn't start them again at three o'clock in the morning,

00:18:52.328 --> 00:18:55.228
although that would have been a great idea. I kind of wish they would have done that.

00:18:55.848 --> 00:18:59.228
They couldn't start them the next weekend because, you know,

00:18:59.388 --> 00:19:03.848
people had to go to work and do stuff, which is kind of always what this stupid

00:19:03.848 --> 00:19:10.368
job does to us, creates a never-ending opportunity to go to work and do stuff.

00:19:11.048 --> 00:19:14.308
So we just kind of moved on and function that way.

00:19:15.246 --> 00:19:24.866
That's a little discussion about risk, chance, control, robustness, and resilience.

00:19:28.126 --> 00:19:32.366
What do you think, my friends? That's an interesting pod.

00:19:32.566 --> 00:19:38.266
It's a birthday pod, so I can do whatever I want to. It's my birthday, so I can get away with it.

00:19:38.366 --> 00:19:42.086
But I do think it's a very interesting discussion.

00:19:42.086 --> 00:19:46.206
And I do think it's telling us, and this is one of the benefits,

00:19:46.386 --> 00:19:53.746
I guess, of this journey we're all on together, is that our traditional linear risk assessment tools,

00:19:54.246 --> 00:19:58.326
the risk ranking, the hazard grids that we have,

00:19:58.746 --> 00:20:08.026
the numbering, the valuing we put on risk probability versus consequence is

00:20:08.026 --> 00:20:11.246
probably a good starting place for the conversation.

00:20:12.086 --> 00:20:17.866
But probably not sufficient enough to carry us safely into high-risk work when

00:20:17.866 --> 00:20:19.166
we want it to matter the most.

00:20:19.866 --> 00:20:23.446
So that's a pretty important thing to think about. I don't know.

00:20:23.626 --> 00:20:28.786
It's made me think that risk isn't the part of the equation that we should be all freaked out about.

00:20:29.666 --> 00:20:33.866
It's really control. It's not, are we exposed to risk?

00:20:34.306 --> 00:20:39.006
That's not the right question. The right question is, is when the bad thing

00:20:39.006 --> 00:20:43.726
happens, do we have enough of this graceful extensibility?

00:20:44.166 --> 00:20:51.066
Can our system bend and sway and flex and adapt in such a way that the consequence

00:20:51.066 --> 00:20:55.746
is managed, recovered, absorbed?

00:20:56.226 --> 00:21:00.426
It's a pretty cool way to think about it. I mean, I think it's worth our time.

00:21:00.566 --> 00:21:07.046
And it's definitely warranting some thinking time.

00:21:07.126 --> 00:21:12.106
The next time you're out on your bicycle or driving someplace far or wherever

00:21:12.106 --> 00:21:16.366
it is you think, I asked you earlier to think about this. You should have an answer now.

00:21:17.086 --> 00:21:22.486
Think about this and think about what it means to the way we manage operations.

00:21:23.366 --> 00:21:29.306
It's crazy because risk in the finance sector is how they make money.

00:21:30.266 --> 00:21:34.906
So risk in finance is an opportunity.

00:21:35.746 --> 00:21:40.106
Maybe the same is true for us in safety.

00:21:40.706 --> 00:21:45.606
Who knows? Think about it. That's the pod. Short and sweet, baby.

00:21:46.006 --> 00:21:48.926
But that's the way to do it. I'll see you again next week. Thanks for hanging

00:21:48.926 --> 00:21:54.486
out with me. It's always super fun to spend time with you. And I'm glad I'm there.

00:21:55.066 --> 00:21:58.566
I'm glad you're there, actually. That's even a better thing to say.

00:21:59.106 --> 00:22:01.546
Until then, my friends, learn something new every single day.

00:22:01.666 --> 00:22:03.926
Have as much fun as you possibly can. Be good to each other.

00:22:04.106 --> 00:22:07.606
Be kind to each other. And for goodness sakes, you guys, be safe.

00:22:08.080 --> 00:22:20.099
Music.

Transcript

WEBVTT 00:00:00.017 --> 00:00:04.797 So I was at a bluegrass festival earlier this year. Let's just go with that. 00:00:06.037 --> 00:00:10.257 And Saturday night, the big night, that's when they always have kind of the 00:00:10.257 --> 00:00:11.957 big shows on the main stage. 00:00:12.437 --> 00:00:17.137 And usually the final show, the Saturday night closeout show, 00:00:17.357 --> 00:00:21.517 is the giant act, the one everyone comes to see.

00:00:22.117 --> 00:00:27.517 And they canceled the show because of lightning, which makes sense. 00:00:27.717 --> 00:00:28.957 I mean, it's an outdoor festival. 00:00:29.637 --> 00:00:34.177 Lightning is, you know, lightning. They're standing up there with wires and 00:00:34.177 --> 00:00:38.937 microphones and all sorts of little lightning attractive things.

00:00:39.337 --> 00:00:40.797 And they canceled the show. 00:00:41.337 --> 00:00:43.477 And, of course, everyone was super disappointed. 00:00:44.037 --> 00:00:50.657 But a person I was with said, well, it makes sense because they wanted to manage the risk. 00:00:53.840 --> 00:01:03.280 Music.

00:01:02.597 --> 00:01:06.897 Hey, everybody, Todd Conklin, Pre-Accident Investigation, and it's time for 00:01:06.897 --> 00:01:10.077 the pod. So I hope you're doing well. 00:01:10.557 --> 00:01:15.717 This is a very interesting time. This is always the first part of November, 00:01:15.977 --> 00:01:20.217 which is, you know, when I was born.

It's my birthday time. 00:01:20.497 --> 00:01:26.217 But it's really fun because I have loads of friends, and that's always something 00:01:26.217 --> 00:01:31.117 that I'm very grateful of. there are many of us that are all born kind of in the same time. 00:01:31.397 --> 00:01:34.377 Like there are four of us, and we hang out pretty regularly, 00:01:34.697 --> 00:01:37.997 that are all born within like a week of each other.

00:01:38.097 --> 00:01:44.017 So it's kind of a fun time, and we usually do big, giant celebrations and have all sorts of fun. 00:01:44.617 --> 00:01:48.417 And it's happening again this year. I mean, I'm sure you got your invitation. 00:01:48.937 --> 00:01:53.077 If you didn't, it's coming in the mail.

It'll be there soon for some kind of 00:01:53.077 --> 00:01:59.337 giant, you know, probably on a yacht, maybe a blimp, some kind of giant party. 00:01:59.817 --> 00:02:01.477 I'm sure we'll have that planned for this year. 00:02:01.977 --> 00:02:07.017 And I'll give you a full report on what happens, which tattoos were received, 00:02:07.017 --> 00:02:11.637 who gave them, were there misspellings, you know, the normal kind of stuff we talk about. 00:02:12.017 --> 00:02:14.097 That's all exciting.

So that's fun. 00:02:14.517 --> 00:02:18.537 And other than that, just, you know, kind of winding the year down, 00:02:18.897 --> 00:02:21.657 which is always kind of a good time as well. 00:02:22.197 --> 00:02:25.717 It's been interesting. I've gotten kind of a lot of bicycle time, 00:02:25.977 --> 00:02:27.897 which I always think is good time.

00:02:28.397 --> 00:02:32.097 Because I've decided when I ride my bicycle... 00:02:33.185 --> 00:02:38.625 I've got two things that I've decided. One is it's a really good time to think. 00:02:39.385 --> 00:02:45.165 And do you have a time to think?

I mean, I'd be curious to kind of wonder what 00:02:45.165 --> 00:02:47.365 your thinking time is, where it is. 00:02:47.745 --> 00:02:51.205 But it's kind of nice to have a place where you can just think. 00:02:51.665 --> 00:02:58.185 And so that's always a huge fringe benefit of going out for a bike ride. 00:02:58.285 --> 00:03:02.525 Being outside is great.

It's fun to get around. I see people. 00:03:02.945 --> 00:03:06.765 It's funny, when you ride a lot, you see the same people over and over and over again. 00:03:07.285 --> 00:03:11.445 So you kind of, it's kind of funny.

You sort of have a relationship, 00:03:11.445 --> 00:03:15.525 even though you don't know this person at all, but you've seen him a million times. 00:03:15.745 --> 00:03:21.345 Like there's a gray-haired guy who listens to the radio who has a Copenhagen 00:03:21.345 --> 00:03:26.585 wheel on his bicycle, and I see him all over town, and I see him with great regularity. 00:03:26.805 --> 00:03:29.885 So that's kind of a fun part of bike riding. The other thing is I've decided 00:03:29.885 --> 00:03:36.945 about one out of every 100 people yell at you, you know, get off the road or some other thing.

00:03:37.485 --> 00:03:44.125 Usually you just kind of smile and wave, which kind of cuts the payoff for them 00:03:44.125 --> 00:03:49.685 and reduces the amount of exposure for something weird happening. 00:03:49.685 --> 00:03:54.765 But that's always kind of an interesting part of riding the bicycle. 00:03:54.765 --> 00:03:58.725 And so that's been really fun and a great time. 00:03:59.045 --> 00:04:01.285 And, you know, other than that, it's November.

00:04:01.685 --> 00:04:03.785 What else can I say? November is November. 00:04:04.205 --> 00:04:06.825 And November is always pretty fun. 00:04:07.265 --> 00:04:12.085 I'm recording this before the election results.

00:04:12.705 --> 00:04:15.825 So I don't have any idea what's going to happen. 00:04:16.585 --> 00:04:20.805 And as I've said to you a million times, and you've said it back to me a million 00:04:20.805 --> 00:04:24.165 and one times, human beings are relatively bad at predicting. 00:04:24.765 --> 00:04:27.725 And we're going to talk about that today a little bit. And because we're bad 00:04:27.725 --> 00:04:29.905 at predicting, I have no idea what's going to happen.

But we'll see. 00:04:30.285 --> 00:04:31.925 You know, that's all going to see. 00:04:33.145 --> 00:04:37.165 It's just a really exciting time to be alive. And it's even a more exciting 00:04:37.165 --> 00:04:42.905 time to spend with you and do a quick podcast, which is exactly what I want 00:04:42.905 --> 00:04:44.645 to do.

So before we go much further... 00:04:45.698 --> 00:04:48.978 Let's pick up where the story left off. 00:04:53.798 --> 00:04:57.578 So yeah, so this friend says they've got to manage risk. 00:04:57.678 --> 00:05:02.478 And I said, is it risk?

Are they managing risk? 00:05:02.858 --> 00:05:05.278 Are they managing chance? 00:05:05.958 --> 00:05:10.478 Because I started thinking about this because I guess we had nothing else to 00:05:10.478 --> 00:05:11.578 do. They canceled the show.

00:05:12.058 --> 00:05:16.178 And I thought risk is defined. 00:05:17.038 --> 00:05:21.818 And I guess lightning is risky. I mean, I think I'd lose that argument if I 00:05:21.818 --> 00:05:22.998 tried to have that argument with you. 00:05:23.418 --> 00:05:28.618 But it strikes me that lightning is more of a chance than a risk.

00:05:29.278 --> 00:05:34.458 And I think it has to do with maybe the amount of control we have as human beings. 00:05:34.578 --> 00:05:38.678 Now, the term for that is agency, the amount of agency we have as human beings. 00:05:38.678 --> 00:05:42.918 But I started thinking about it, and it's really kind of the old, 00:05:43.018 --> 00:05:45.318 are you good or are you lucky? 00:05:46.118 --> 00:05:51.298 And so I think that's something we should talk about because this has really 00:05:51.298 --> 00:05:55.258 been on my mind, partially because I was super disappointed that the show got 00:05:55.258 --> 00:05:57.958 canceled because there were a couple of really good bands.

00:05:58.138 --> 00:06:01.418 And if I think of the name, see, I don't even remember the name of them. 00:06:02.058 --> 00:06:05.418 One was especially good. They're from California, kind of jazzy, 00:06:05.918 --> 00:06:08.058 bluegrass jazz kind of combo. 00:06:08.678 --> 00:06:17.738 But anyway, this idea that risk is what we control is kind of an interesting 00:06:17.738 --> 00:06:20.278 idea.

So we can define all these terms. 00:06:20.458 --> 00:06:22.898 I mean, they all have definitions, and you probably know them all. 00:06:23.558 --> 00:06:30.378 Risk, traditionally, I've always looked at risk as the probability that a person 00:06:30.378 --> 00:06:35.618 will be harmed if something happens, if exposed to a hazard. 00:06:36.358 --> 00:06:42.898 So it's probability, I guess, times consequence.

I hate to make fake math equations, 00:06:42.918 --> 00:06:46.598 but there's a relationship between probability and consequence, 00:06:46.598 --> 00:06:49.578 which lets us do kind of a risk ranking. 00:06:49.878 --> 00:06:53.498 But I've told you before, and because we've talked about this a bunch, 00:06:53.998 --> 00:06:58.878 that risk ranking is never really about risk. It's about resource management. 00:06:59.778 --> 00:07:05.038 But risk is really that idea, what's the chance that this bad thing could happen?

00:07:05.298 --> 00:07:09.978 Oh, man, I just used the word chance, and I'm trying to build this case between risk and chance. 00:07:10.218 --> 00:07:15.218 What's the probability that this bad thing could happen? I may solve my own 00:07:15.218 --> 00:07:16.998 problem in the middle of this podcast. Who knows?

00:07:17.818 --> 00:07:23.038 And so risk is really interesting. And a lot of people think about this a lot. 00:07:23.038 --> 00:07:26.438 I mean, this really, like John Adams, if you haven't read him, 00:07:26.598 --> 00:07:29.838 his work on risk is very, very interesting. 00:07:29.958 --> 00:07:32.098 And there's a lot of people that think about this.

00:07:32.498 --> 00:07:40.198 It's funny, you don't hear it so much amongst the scholars of kind of the new safety thinking. 00:07:40.678 --> 00:07:43.678 They don't really talk a lot about risk. And partially because, 00:07:43.958 --> 00:07:48.718 generally speaking, risk has been in the domain of kind of the safety engineers. 00:07:48.718 --> 00:07:56.578 Engineers so they can do a calculation and determine numerically what risk is going to be.

00:07:56.798 --> 00:08:01.178 And I'm not saying these are bad things. I'm just saying that's kind of how 00:08:01.178 --> 00:08:02.178 this has worked traditionally. 00:08:02.978 --> 00:08:10.878 The new safety scholars will tell you that in a complex world with highly adaptive sort of systems, 00:08:11.378 --> 00:08:17.318 that the ability to do a calculation is really leaning on kind of old school 00:08:17.318 --> 00:08:21.978 thinking, kind of linear thinking in a nonlinear world that it'd be hard to calculate. 00:08:22.418 --> 00:08:25.478 So we talked about this.

I mean, we've struggled with this for a while. 00:08:25.898 --> 00:08:29.298 And one of the things that happened, at least in the world I live in, 00:08:29.478 --> 00:08:36.818 is we realized that risk ranking, because it's based upon resource availability, 00:08:36.818 --> 00:08:41.518 how much are we going to spend to manage this potential thing that has not happened yet? 00:08:42.138 --> 00:08:45.478 It really was sort of dictated by potential consequence. 00:08:45.878 --> 00:08:52.038 So that's where consequence comes in.

So if it's highly likely that it'll happen, 00:08:52.038 --> 00:08:57.818 but the consequence is super low, then that didn't warrant a lot of attention. 00:08:58.018 --> 00:09:00.578 But if it's highly unlikely that it'll happen, but if it did, 00:09:00.678 --> 00:09:02.078 the consequence was super high, 00:09:02.438 --> 00:09:10.538 then we found the ability to resource that and provide control or barriers or 00:09:10.538 --> 00:09:13.618 somehow mitigate the hazard as it was. 00:09:13.778 --> 00:09:18.058 And that is kind of interesting because is risk different than hazard? 00:09:18.378 --> 00:09:19.698 Well, they're very different words.

00:09:20.458 --> 00:09:24.498 Risk is that probability of something bad happening. The hazard is the actual 00:09:24.498 --> 00:09:26.438 thing. So you can take a picture of a hazard. 00:09:26.938 --> 00:09:28.858 But then where does chance come in?

00:09:29.567 --> 00:09:34.147 And chance is really pretty interesting, because one of the things that I'm 00:09:34.147 --> 00:09:36.427 sure you're doing with your organization, and if you're not, 00:09:36.527 --> 00:09:40.847 you should be, is every time a near miss is reported, simply ask, 00:09:41.047 --> 00:09:43.827 were we good or were we lucky? 00:09:44.547 --> 00:09:48.227 And no matter what the answer, if they say, well, you had a near miss and you 00:09:48.227 --> 00:09:50.787 say, were you good or you're lucky? And they say we were good. 00:09:51.267 --> 00:09:54.307 We had the right controls in place.

We had the right barriers in place. 00:09:54.487 --> 00:09:58.027 We had the right systems in place that when this bad thing happened, 00:09:58.027 --> 00:10:03.127 we were able to manage it and control the consequence. 00:10:03.387 --> 00:10:05.747 Well, that's a good and you should reward that. 00:10:06.167 --> 00:10:09.707 But if they say we had a near miss, you say, were we good or lucky?

00:10:09.867 --> 00:10:10.887 And they say we were lucky. 00:10:11.547 --> 00:10:14.467 And you'll say what happened. and they'll say, well, we had no idea this could 00:10:14.467 --> 00:10:18.787 fail. We never imagined this would fail at this place at this time, and it did.

00:10:19.447 --> 00:10:24.347 Fortunately, when it failed, nobody was around, and so it had very little consequence. 00:10:24.807 --> 00:10:26.407 Henceforth, it's a near miss. 00:10:27.127 --> 00:10:32.427 That's also pretty valuable data because that tells you that you have a hazard 00:10:32.427 --> 00:10:38.567 in the field, an unimagined hazard in the field that you really have no controls over. 00:10:38.687 --> 00:10:44.487 So the system's really brittle there.

And learning that in kind of a free way, 00:10:44.707 --> 00:10:48.587 because near misses are gifts, learning that without the consequence, 00:10:48.747 --> 00:10:51.847 without the mess, is actually pretty incredible news. 00:10:51.847 --> 00:10:55.587 And because you got that pretty incredible news, well, you can go out there 00:10:55.587 --> 00:10:58.527 and put some controls around it and make it safer. 00:10:59.267 --> 00:11:04.147 Build a case for it to fail as elegantly and as extensively as it possibly can. 00:11:04.667 --> 00:11:09.527 But I think about this in really terms that we have to practically use.

00:11:10.127 --> 00:11:16.067 Because risk, hazard, and chance are all this need to sort of predict the future. 00:11:16.227 --> 00:11:21.027 And the crazy thing about this is that the amount of effort we spend trying 00:11:21.027 --> 00:11:26.447 to predict the future takes directly away from the amount of effort we spend 00:11:26.447 --> 00:11:29.507 currently trying to affect the future. 00:11:29.507 --> 00:11:35.827 And so it's always kind of better to not use your resources in predicting what 00:11:35.827 --> 00:11:40.147 will happen next in an uncertain world, because we don't really know what that answer is. 00:11:40.427 --> 00:11:46.867 It's probably always better to actually look at carefully and try to affect 00:11:46.867 --> 00:11:52.087 what's happening now in a way that has potential positive outcomes.

00:11:52.787 --> 00:11:56.187 Long story short, because this is kind of becoming a long story, 00:11:56.507 --> 00:12:03.827 that's what shifted the thinking around risk in super high consequence work. 00:12:04.802 --> 00:12:12.402 So instead of managing by probability, chance, lightning, the decision was made 00:12:12.402 --> 00:12:17.622 to assume that the probability of the bad thing happening is 100%. 00:12:17.622 --> 00:12:22.942 Now, that's expensive, and that's time-consuming, and that's resource-intensive. 00:12:23.422 --> 00:12:27.382 But if the consequence is significant, assume it will happen.

00:12:27.602 --> 00:12:32.962 And the best example I can sort of use for this, The one that comes to mind, 00:12:33.162 --> 00:12:38.102 the one that came to mind when we were walking back from the main stage after the show was canceled. 00:12:38.322 --> 00:12:40.502 And by the way, it rained like crazy. 00:12:41.002 --> 00:12:43.682 So it was a good call. A lot of times when they cancel a show, 00:12:43.782 --> 00:12:47.442 then it doesn't rain and you're like, aha, you're overly conservative and you 00:12:47.442 --> 00:12:50.022 ruin the weekend for us.

But we totally got the storm out of it. 00:12:50.122 --> 00:12:55.442 So it was a good call. When we were walking back, the discussion really became 00:12:55.442 --> 00:13:01.582 one of thinking in great detail about what this means. 00:13:02.002 --> 00:13:10.002 Because ultimately, probability is the desperate need to predict the future.

00:13:10.702 --> 00:13:18.502 And following data, whatever data we make up or assume, in order to determine 00:13:18.502 --> 00:13:23.902 probability, really assumes that there's an answer and there really isn't an answer. 00:13:24.502 --> 00:13:27.522 We don't know what the future will hold. 00:13:28.022 --> 00:13:34.302 And so if you assume it'll happen, then you can draw yourself to the comparison 00:13:34.302 --> 00:13:35.922 that I gave on the way back. 00:13:36.742 --> 00:13:40.322 And that's fall protection.

So why do we put people in fall protection? 00:13:40.542 --> 00:13:43.282 Well, the answer is, and almost always when I ask this question, 00:13:43.402 --> 00:13:44.702 people say, so they don't fall. 00:13:45.162 --> 00:13:49.002 Okay, so that's true, but not really. 00:13:49.482 --> 00:13:53.642 Because fall protection is really weird in that it doesn't really care about the fall part.

00:13:54.102 --> 00:13:58.182 What fall protection cares about is the recovery part, the landing part. 00:13:58.602 --> 00:14:04.882 So we put people in fall protection around the belief that there's 100% chance 00:14:04.882 --> 00:14:12.862 they will fall. And when they do fall, our system's robust enough to provide recoverability. 00:14:13.062 --> 00:14:22.382 We can recover and manage the consequence before it has ultimate and dire outcomes.

00:14:22.782 --> 00:14:30.662 So you fall, you jerk your lanyard, it catches you, you swing against the wall, 00:14:30.902 --> 00:14:35.302 maybe you bruise your ribs, but you didn't land on your head and die. 00:14:35.862 --> 00:14:41.322 Now, that's a really interesting example, because the assumption is, 00:14:41.382 --> 00:14:44.882 is that the probability of the fall is one. 00:14:45.162 --> 00:14:52.042 So when engineers or physicists talk about probability, they always say a probability of one. 00:14:52.402 --> 00:14:56.242 If you're not an engineer or a physicist, what they're really saying is there's 00:14:56.242 --> 00:14:59.642 100 percent chance that's going to happen.

We don't know when. 00:15:00.022 --> 00:15:04.442 We just don't know when. But we know it will happen. 00:15:04.442 --> 00:15:09.042 And when it does happen, because we assumed 100% chance of this happening, 00:15:09.402 --> 00:15:16.522 we've actually built into our systems that graceful extensibility that our friend 00:15:16.522 --> 00:15:20.382 David Woods talks about so elegantly in so much of his work.

00:15:20.682 --> 00:15:22.722 We've built recovery. 00:15:23.162 --> 00:15:28.182 And it's really that relationship between robust and resilient. Right. 00:15:28.802 --> 00:15:33.702 Or probability and chance.

They all have to exist with each other. 00:15:34.042 --> 00:15:40.782 And so the challenge is, is not that we manage risk, because risk is really 00:15:40.782 --> 00:15:42.702 normal and it's highly dynamic. 00:15:43.102 --> 00:15:47.562 Even if we could predict everything we could think of, we're missing all the 00:15:47.562 --> 00:15:49.102 things we can't think of. 00:15:49.462 --> 00:15:55.342 So if risk assessment really counts on imagination, I can imagine all the ways 00:15:55.342 --> 00:15:59.902 this system will fail, then we're limited by the fact that we can't imagine 00:15:59.902 --> 00:16:01.702 all the things that we need to imagine.

00:16:02.122 --> 00:16:08.522 There will always be the unimaginable. And we're often caught by the fact that 00:16:08.522 --> 00:16:10.322 there are things beyond our imagination. 00:16:10.942 --> 00:16:14.542 And you know that's true. I mean, you learn new stuff all the time.

00:16:14.642 --> 00:16:17.362 You learn new ways for things to happen. 00:16:17.482 --> 00:16:21.462 I talked to somebody just the other day who said they burnt their kitchen in 00:16:21.462 --> 00:16:25.122 their house because they left their crock pot on the counter. 00:16:25.582 --> 00:16:29.522 Well, here's what I'm going to tell you. I never in a million billion years 00:16:29.522 --> 00:16:35.302 imagined a crock pot left on a counter could start a fire because I always assumed 00:16:35.302 --> 00:16:40.662 a crock pot by design was built to be left on the counter.

00:16:41.042 --> 00:16:44.502 It's a slow cooker. I mean, that's what its job is. 00:16:44.682 --> 00:16:49.102 I never thought that it could create enough heat out of the bottom of the crock 00:16:49.102 --> 00:16:52.622 pot to potentially start a fire. but clearly I never imagined that, 00:16:52.902 --> 00:16:55.262 but I talked to somebody that it happened to.

00:16:56.302 --> 00:17:02.322 This idea that somehow risk is the thing we can control, or worse yet, 00:17:02.562 --> 00:17:06.602 chance is the thing we can control, I think that's beyond our scope. 00:17:06.762 --> 00:17:09.542 I just don't think we have the ability to do that. 00:17:09.922 --> 00:17:12.962 And because we can't do it, it sort 00:17:12.962 --> 00:17:19.902 of puts the onus on managing the recoverability. We want robust systems.

00:17:20.182 --> 00:17:25.842 We want strong, preventive-focused systems that stop bad things from happening. 00:17:26.042 --> 00:17:30.382 But we need resilient systems at the same time. 00:17:31.368 --> 00:17:36.188 So that when something unimaginable happens, our system is flexible enough, 00:17:36.508 --> 00:17:42.248 extensible enough, that when it does happen, the system can actually bend and 00:17:42.248 --> 00:17:49.988 sway and actually manage in a positive way the potential failure consequence. 00:17:51.108 --> 00:17:57.588 That's what you think about when you're coming back right before a giant storm 00:17:57.588 --> 00:18:01.828 happens from stage one of a bluegrass festival.

00:18:02.088 --> 00:18:06.188 You think about risk and chance. 00:18:06.388 --> 00:18:10.248 And you think about the relationship that that has. 00:18:10.508 --> 00:18:17.608 The probability of lightning striking that stage was probably gargantuanly high. 00:18:17.608 --> 00:18:20.208 Or maybe gargantuanly low.

00:18:20.728 --> 00:18:22.888 I don't know, because it's lightning. 00:18:23.468 --> 00:18:28.508 The challenge is to build a system that has enough recoverability in it that, 00:18:28.628 --> 00:18:34.048 in fact, we can function elegantly in the midst of uncertainty. 00:18:34.668 --> 00:18:39.788 And to be fair, not to be critical, but to be fair, they didn't have any recoverability 00:18:39.788 --> 00:18:42.088 in the bluegrass. They didn't have another Saturday night.

00:18:42.588 --> 00:18:47.128 So unfortunately, when they canceled those shows, there was no making up for 00:18:47.128 --> 00:18:48.668 it. I mean, there was no other time. 00:18:49.328 --> 00:18:52.048 They couldn't start them again at three o'clock in the morning, 00:18:52.328 --> 00:18:55.228 although that would have been a great idea. I kind of wish they would have done that.

00:18:55.848 --> 00:18:59.228 They couldn't start them the next weekend because, you know, 00:18:59.388 --> 00:19:03.848 people had to go to work and do stuff, which is kind of always what this stupid 00:19:03.848 --> 00:19:10.368 job does to us, creates a never-ending opportunity to go to work and do stuff. 00:19:11.048 --> 00:19:14.308 So we just kind of moved on and function that way. 00:19:15.246 --> 00:19:24.866 That's a little discussion about risk, chance, control, robustness, and resilience. 00:19:28.126 --> 00:19:32.366 What do you think, my friends?

That's an interesting pod. 00:19:32.566 --> 00:19:38.266 It's a birthday pod, so I can do whatever I want to. It's my birthday, so I can get away with it. 00:19:38.366 --> 00:19:42.086 But I do think it's a very interesting discussion.

00:19:42.086 --> 00:19:46.206 And I do think it's telling us, and this is one of the benefits, 00:19:46.386 --> 00:19:53.746 I guess, of this journey we're all on together, is that our traditional linear risk assessment tools, 00:19:54.246 --> 00:19:58.326 the risk ranking, the hazard grids that we have, 00:19:58.746 --> 00:20:08.026 the numbering, the valuing we put on risk probability versus consequence is 00:20:08.026 --> 00:20:11.246 probably a good starting place for the conversation. 00:20:12.086 --> 00:20:17.866 But probably not sufficient enough to carry us safely into high-risk work when 00:20:17.866 --> 00:20:19.166 we want it to matter the most. 00:20:19.866 --> 00:20:23.446 So that's a pretty important thing to think about. I don't know.

00:20:23.626 --> 00:20:28.786 It's made me think that risk isn't the part of the equation that we should be all freaked out about. 00:20:29.666 --> 00:20:33.866 It's really control. It's not, are we exposed to risk? 00:20:34.306 --> 00:20:39.006 That's not the right question.

The right question is, is when the bad thing 00:20:39.006 --> 00:20:43.726 happens, do we have enough of this graceful extensibility? 00:20:44.166 --> 00:20:51.066 Can our system bend and sway and flex and adapt in such a way that the consequence 00:20:51.066 --> 00:20:55.746 is managed, recovered, absorbed? 00:20:56.226 --> 00:21:00.426 It's a pretty cool way to think about it. I mean, I think it's worth our time.

00:21:00.566 --> 00:21:07.046 And it's definitely warranting some thinking time. 00:21:07.126 --> 00:21:12.106 The next time you're out on your bicycle or driving someplace far or wherever 00:21:12.106 --> 00:21:16.366 it is you think, I asked you earlier to think about this. You should have an answer now. 00:21:17.086 --> 00:21:22.486 Think about this and think about what it means to the way we manage operations.

00:21:23.366 --> 00:21:29.306 It's crazy because risk in the finance sector is how they make money. 00:21:30.266 --> 00:21:34.906 So risk in finance is an opportunity. 00:21:35.746 --> 00:21:40.106 Maybe the same is true for us in safety. 00:21:40.706 --> 00:21:45.606 Who knows?

Think about it. That's the pod. Short and sweet, baby. 00:21:46.006 --> 00:21:48.926 But that's the way to do it.

I'll see you again next week. Thanks for hanging 00:21:48.926 --> 00:21:54.486 out with me. It's always super fun to spend time with you. And I'm glad I'm there.

00:21:55.066 --> 00:21:58.566 I'm glad you're there, actually. That's even a better thing to say. 00:21:59.106 --> 00:22:01.546 Until then, my friends, learn something new every single day. 00:22:01.666 --> 00:22:03.926 Have as much fun as you possibly can.

Be good to each other. 00:22:04.106 --> 00:22:07.606 Be kind to each other. And for goodness sakes, you guys, be safe. 00:22:08.080 --> 00:22:20.099 Music.

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