WEBVTT - The Evils of Data Tracking

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<v Speaker 1>With technology with tex Stuff. Hey there, and welcome to

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<v Speaker 1>tex Stuff. I am your host, Jonathan Strickland, and today

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<v Speaker 1>I have a very special guest as a guest co

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<v Speaker 1>host of this episode, then Johnson Marketplace dot Org. Welcome Ben. Hey,

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<v Speaker 1>how's it going, Jonathan, It's great. Now I have a

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<v Speaker 1>question for you before we get into the topic of

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<v Speaker 1>the day. I got to chance to be a guest

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<v Speaker 1>host on a show you host called code Breaker, And

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<v Speaker 1>on code Breaker when we talked, I made a reference

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<v Speaker 1>to Shakespeare. Yes. Now my question for you is, are

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<v Speaker 1>you ever confused with the seventeenth century British playwright Ben Johnson.

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<v Speaker 1>Oh man all the time, yapens all the time, embarrassing. Yeah,

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<v Speaker 1>I've been you know, I have been to Stratford upon Avon.

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<v Speaker 1>I have done that whole thing, and and and I

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<v Speaker 1>used to you know, I never get confused for that

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<v Speaker 1>Ben Johnson. But in the past, at least people made

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<v Speaker 1>jokes about steroids because of the other Ben Johnson. Nadian

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<v Speaker 1>Runner and I used to have a T shirt that

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<v Speaker 1>said I'm not on steroids, but thanks for asking, which

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<v Speaker 1>was a kind of inside joke among my friends. But

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<v Speaker 1>it was, um, you know, I've never been. No, I've

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<v Speaker 1>never been that poetic. I've never been that good at sonnets,

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<v Speaker 1>so usually I'm not not confused. It's it's sad. It's

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<v Speaker 1>really funny because, uh, I'm in in an upcoming episode

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<v Speaker 1>of tech stuff. I'm going to have my friend i

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<v Speaker 1>as actar from on and his his Twitter handle is

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<v Speaker 1>at i as, so he gets a lot of hip

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<v Speaker 1>hop and rap questions. So yeah, it's like, not so much.

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<v Speaker 1>I I'm okay with that. But the reason I have

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<v Speaker 1>been on today is because we're doing something kind of

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<v Speaker 1>a complementary episode to the Codebreaker episode I was on,

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<v Speaker 1>which was all about data tracking and data mining, and

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<v Speaker 1>to kind of talk about what that is, what it's

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<v Speaker 1>used for, what is the best case scenario, like what

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<v Speaker 1>why do we want it? And what are some really

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<v Speaker 1>really good reasons why we may not want it, despite

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<v Speaker 1>the fact that at this point it's here to stay.

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<v Speaker 1>I think a spoiler alert, data tracking is not going away,

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<v Speaker 1>right until the sort of posted post apocalyptic world sent

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<v Speaker 1>until we're all in um fallout for world whatever it is,

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<v Speaker 1>or or we reached singularity and we're sharing the same

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<v Speaker 1>consciousness anyway, right Yeah, and then it doesn't matter there's

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<v Speaker 1>no such thing as an individual at that point, so

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<v Speaker 1>until then we're stuck with it. So data tracking and

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<v Speaker 1>data mining, these are terms that kind of relate to

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<v Speaker 1>another buzz term that you've probably heard over and over again,

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<v Speaker 1>which is big data. Um. And the reason why we're

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<v Speaker 1>even talking about this at all is because information has value,

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<v Speaker 1>but it's hard to pin down exactly what the value

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<v Speaker 1>is because it may be very different from one person

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<v Speaker 1>to another, or between the individual whose data it is

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<v Speaker 1>and some other organization or a chain of organizations, and

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<v Speaker 1>the whole thing gets really messy. And uh yeah, we'll

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<v Speaker 1>be talking about information and information about information like metadata.

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<v Speaker 1>I mean this, it becomes a rabbit hole that you

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<v Speaker 1>can easily get lost in as you start to try

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<v Speaker 1>and unravel everything and figure out, okay, well, what's the

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<v Speaker 1>heart of this story. And to be fair, data trekking

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<v Speaker 1>is something that's been going on for ages. It's not new.

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<v Speaker 1>It's just that the Internet and the rules we use

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<v Speaker 1>today allow us to generate, gather, and sift through more

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<v Speaker 1>information than we've ever been able to do before. It's

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<v Speaker 1>kind of a catch all phrase, right, Jonathan, It's it's

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<v Speaker 1>this kind of catch all phrase for for computers in

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<v Speaker 1>software to build a really comprehensive um data profile about

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<v Speaker 1>you in some ways. But it's something that credit card

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<v Speaker 1>companies and banks and advertisers have endeavored to do for

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<v Speaker 1>decades exactly, I mean. And this can be done for

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<v Speaker 1>very simple, quote unquote innocent reasons. Like one of the

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<v Speaker 1>examples I like to say is you might have a

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<v Speaker 1>shop and you in your shop, you sell ice cream,

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<v Speaker 1>and you pay attention to see which flavors of ice

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<v Speaker 1>cream sell the best, and that informs you of which

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<v Speaker 1>flavors of ice cream you need to stock up on.

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<v Speaker 1>You are tracking the data of sales. In this case,

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<v Speaker 1>you're not necessarily looking at individuals. You don't care who

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<v Speaker 1>it is that buys the vanilla, but if everyone's buying vanilla,

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<v Speaker 1>you want to make sure you have more vanilla than

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<v Speaker 1>the other flavors that aren't selling as well. So that's

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<v Speaker 1>one that's like the very simplest version of data tracking

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<v Speaker 1>there where you know you've scrubbed the identity of the individuals,

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<v Speaker 1>that's not even that doesn't even come up, it's not important.

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<v Speaker 1>But it can go all the way to the other extreme,

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<v Speaker 1>where you want to create targeted advertising. That is going

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<v Speaker 1>to appeal to each specific person that visits a particular

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<v Speaker 1>site or use as a particular service, and the whole

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<v Speaker 1>point of that is to attempt to get them to

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<v Speaker 1>buy something or to enroll in something. It's it's the

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<v Speaker 1>goal of all advertising. It's to get you to act

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<v Speaker 1>in a certain way. And the idea is that, well,

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<v Speaker 1>if we can narrow the target down to the most

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<v Speaker 1>likely candidates, will get a better return on our efforts.

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<v Speaker 1>And this is theoretically good for the user, right Jonathan.

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<v Speaker 1>Theoretically it's it's sort of like, we want to give

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<v Speaker 1>you the thing that you really want, and we want

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<v Speaker 1>to give it to you in the most efficient way

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<v Speaker 1>and in the most sort of sympatico way with with

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<v Speaker 1>what you are interested in doing already. Um, but it

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<v Speaker 1>can sort of like data tracting to me means so

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<v Speaker 1>many things, Jonathan, Right. It means your online browsing behavior,

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<v Speaker 1>or the things you choose to buy, the platforms, the

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<v Speaker 1>software you use, the things you download, your name, age, race,

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<v Speaker 1>sexual orientation, when you're sick, what what you're sick with,

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<v Speaker 1>your eating habits, your television watching habits, your fears, hopes, dreams.

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<v Speaker 1>Right when it really means so many things when you're awake,

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<v Speaker 1>when you're asleep. I mean, like we we're talking about

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<v Speaker 1>a world now where where we we want these wearables.

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<v Speaker 1>They could give us real time data feedback on how

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<v Speaker 1>we are doing throughout the day. Maybe you are an

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<v Speaker 1>extreme type a personality and you are trying to schedule

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<v Speaker 1>your day so that when you're hitting those peak moments

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<v Speaker 1>of productivity, that's when you're tackling the most important tasks

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<v Speaker 1>to you, and you're wearing wearables, you're getting that feedback

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<v Speaker 1>and you're understanding all this stuff. That data may also

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<v Speaker 1>be going to other places and there may not be

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<v Speaker 1>any use for it right now. Like right now, as

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<v Speaker 1>you're generating that data, that's fine, no one's looking at it.

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<v Speaker 1>But down the road that might not be the case

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<v Speaker 1>for various reasons, some of which are terrifying. But but

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<v Speaker 1>you know, you were talking about the different types of data.

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<v Speaker 1>There are actually three kind of broad categories we can

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<v Speaker 1>classify the data that we are creating that that various

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<v Speaker 1>entities are really interested in. There's there's volunteered data, and

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<v Speaker 1>that's the stuff we share, right that's when we go

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<v Speaker 1>on facebooks exactly if that's my tweets, your tweets, your

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<v Speaker 1>your YouTube's, your facebooks, your Pinterests, it's it's the stuff

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<v Speaker 1>where we are participating in the conversation and generating that information.

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<v Speaker 1>We're not just doing that for the people that we

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<v Speaker 1>are trying to impress or our friends or sometimes are

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<v Speaker 1>enemies if we want to rub their noses and stuff

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<v Speaker 1>because they think they're so big. But that's that's the

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<v Speaker 1>stuff that we are actively sharing. Then there's the observed data.

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<v Speaker 1>That's the stuff that companies and other entities can can

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<v Speaker 1>figure out about us just by watching our behavior. So

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<v Speaker 1>this would be kind of the stuff we buy, the

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<v Speaker 1>browsing habits we have where we log in from. Like

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<v Speaker 1>if you are doing most of your browsing on a

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<v Speaker 1>mobile device, you better bet there their companies out there

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<v Speaker 1>that want to know that. They want to know that

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<v Speaker 1>you access stuff on your phone more than you do

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<v Speaker 1>on a laptop or desktop. That's important information. And then

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<v Speaker 1>there's the inferred data, and that's the stuff that companies

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<v Speaker 1>guess is relevant to you based upon the information they

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<v Speaker 1>gather from the other two types of sources. And it's

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<v Speaker 1>it's this collection that's important. And you know I mentioned

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<v Speaker 1>about value and how value is different for different people.

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<v Speaker 1>So the Telegraph did a survey UH, in which they

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<v Speaker 1>asked people what they felt their personal information was worth

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<v Speaker 1>to them personally, Like, what is your identity worth to you? Uh?

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<v Speaker 1>Based upon the kind of information to get shared around

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<v Speaker 1>these entities? Can you make a ballpark? Guess I'll tell

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<v Speaker 1>you this. It's it's it's less than ten thousand dollars,

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<v Speaker 1>but it's more than five dollars. Man, man, I'm gonna

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<v Speaker 1>go with I'm gonna go with twenty bucks or no, no, no, eight, wait,

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<v Speaker 1>hundred bucks. You know it's probably because we share so

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<v Speaker 1>much ben that we value it so little. But the

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<v Speaker 1>average person five thousand dollars. Oh well, that's good. That

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<v Speaker 1>that makes and that makes the average person a lot

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<v Speaker 1>smarter than me. But to be fair, it was three

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<v Speaker 1>thousand two pounds sterling. But I did the conversion. Yeah,

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<v Speaker 1>and and uh. And they also mentioned the fact that,

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<v Speaker 1>um that while they were doing this, they they found

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<v Speaker 1>that there was a disparity that that women in the

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<v Speaker 1>survey tended to answer more frequently that their personal information

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<v Speaker 1>was priceless, that there was no price you could put

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<v Speaker 1>on it that they would feel comfortable selling it. And

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<v Speaker 1>men were less likely to do that. They also said

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<v Speaker 1>an interesting data point, if you will, Yeah, I also

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<v Speaker 1>mentioned that older people were less likely to want to

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<v Speaker 1>sell their information than younger people, which kind of young

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<v Speaker 1>younger people are just giving it away. Yeah they are,

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<v Speaker 1>I mean they you know, we're seeing that more and

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<v Speaker 1>more with the the the very cavalier behavior of certain

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<v Speaker 1>executives like Zuckerberg who have said that privacy is dead. No,

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<v Speaker 1>privacy is no longer a thing. That seems to be

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<v Speaker 1>kind of the message that younger generations have not only

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<v Speaker 1>absorbed but adopted at least to some extent. Say you

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<v Speaker 1>and I asked old kajure, so we claim, yeah, no,

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<v Speaker 1>if your generation X or older, you're like, get your dirty,

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<v Speaker 1>grubby hands off my personal information, you damn millennial, right,

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<v Speaker 1>so now here, that's so, that's how much the person

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<v Speaker 1>values their personal information in the thousands of dollars range. Okay,

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<v Speaker 1>I know what you're gonna do next, Right, You're gonna

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<v Speaker 1>give me the average company's value on our data. Ye's

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<v Speaker 1>gonnas exactly what's gonna happen? So here's the deal. Your

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<v Speaker 1>personal information to a company at best, like at its

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<v Speaker 1>peak for average amount of information. I'm not talking about

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<v Speaker 1>very specialized stuff like if you were talking about that

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<v Speaker 1>wearable example. I was saying earlier that would that would

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<v Speaker 1>be worth more because it's more comprehensive data. But you're

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<v Speaker 1>average stuff, like you're the stuff you might find on

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<v Speaker 1>a Facebook profile page. It is worth point zero zero

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<v Speaker 1>five dollars. So half a cent is how much your

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<v Speaker 1>data is. We're at at the peak average is closer

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<v Speaker 1>to point zero zero zero five dollars. To know that.

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<v Speaker 1>I'm you know, a boring, middle aged white guy who's

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<v Speaker 1>probably going to see the Star Wars movie probably, I

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<v Speaker 1>mean I would have paid you for definitely, Okay, I

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<v Speaker 1>mean it's seven days away, dude, it is seven days

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<v Speaker 1>away as we record that. So so at any rate, yeah, exactly,

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<v Speaker 1>Like the company is like, that's how much your information

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<v Speaker 1>is worth to them, So to you, it's in the

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<v Speaker 1>thousands of dollars. To them, it doesn't even equal a

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<v Speaker 1>penny for the but an aggregate, right, it's gonna be

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<v Speaker 1>worth so much more. Well, exactly because because when a

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<v Speaker 1>company is buying information, they're not buying one person's information.

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<v Speaker 1>They're buying bundles of thousands upon thousands of people's information.

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<v Speaker 1>Then it's that company's job to either sell that information

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<v Speaker 1>off to someone else. These are data brokers. This is

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<v Speaker 1>all they do. That's that's their job. That's their business.

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<v Speaker 1>They buy and sell info. They don't make stuff, they

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<v Speaker 1>don't provide any services. They aggregate data and sell it

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<v Speaker 1>off to other people. This is a fascinating part of

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<v Speaker 1>this whole thing to me, Jonathan, because it's like they're

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<v Speaker 1>these companies are really I mean, they're they're kind of

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<v Speaker 1>like in the shadows, you know, they're they're they're like

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<v Speaker 1>companies with like weird names that that that have you know,

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<v Speaker 1>data centers in in in the middle of nowhere, and

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<v Speaker 1>and they're really hard to find. And you you know,

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<v Speaker 1>I mean you and I probably both remember the days

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<v Speaker 1>of like do not call me at home, you know,

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<v Speaker 1>getting getting that phone call from marketers, the pre do

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<v Speaker 1>not call list days. Right, And we don't really have

0:13:49.280 --> 0:13:52.040
<v Speaker 1>a do not call list for data yet, right. We

0:13:52.160 --> 0:13:54.120
<v Speaker 1>have some tools, but we don't really have that. And

0:13:54.160 --> 0:13:57.599
<v Speaker 1>I feel like we're in this kind of um, I

0:13:57.679 --> 0:14:01.439
<v Speaker 1>don't know, gold rush on data exactly. We don't have

0:14:02.320 --> 0:14:05.400
<v Speaker 1>we don't have the power to say here is what

0:14:05.559 --> 0:14:07.439
<v Speaker 1>you can use my data to do, and here is

0:14:07.520 --> 0:14:11.120
<v Speaker 1>what you cannot use my data to do. Uh. You know,

0:14:11.200 --> 0:14:14.679
<v Speaker 1>if you're lucky, you will be or if you're very

0:14:15.360 --> 0:14:18.280
<v Speaker 1>um you know, careful, and you're and you're paying really

0:14:18.320 --> 0:14:21.120
<v Speaker 1>close attention, then you might use services where you're looking

0:14:21.200 --> 0:14:24.000
<v Speaker 1>at the user agreement and looking to see do they

0:14:24.080 --> 0:14:27.120
<v Speaker 1>have a policy? Do they do they specifically state they

0:14:27.240 --> 0:14:30.880
<v Speaker 1>will not share your information with third parties. Um, you

0:14:30.960 --> 0:14:34.080
<v Speaker 1>know you can find some of those, but honestly, that's

0:14:34.120 --> 0:14:36.240
<v Speaker 1>not the way business works for most of these companies.

0:14:36.360 --> 0:14:41.760
<v Speaker 1>You are the product, right, like like Google is free. Yep,

0:14:42.280 --> 0:14:46.680
<v Speaker 1>you're the one the product. That's that's what Google, your

0:14:46.760 --> 0:14:50.240
<v Speaker 1>Google's product, your Facebook product. You are what they are

0:14:50.320 --> 0:14:55.880
<v Speaker 1>selling to other other interested parties. And uh, even if

0:14:55.960 --> 0:14:58.440
<v Speaker 1>you look at ones that say that, oh, don't worry,

0:14:58.520 --> 0:15:02.640
<v Speaker 1>we scrub all the identifiable stuff from your day, animize

0:15:02.680 --> 0:15:05.880
<v Speaker 1>your data if you will. Yeah, that, Um, that don't

0:15:05.920 --> 0:15:10.880
<v Speaker 1>work so good, Ben, it doesn't work very good. There

0:15:10.920 --> 0:15:13.200
<v Speaker 1>have been studies about this in the last few years, right.

0:15:13.240 --> 0:15:14.600
<v Speaker 1>I think there was a study that came out of

0:15:14.640 --> 0:15:18.480
<v Speaker 1>the UK that suggested, um that really in order to

0:15:18.640 --> 0:15:23.360
<v Speaker 1>identify a person, um, you really only needed like one

0:15:23.480 --> 0:15:26.080
<v Speaker 1>or two pieces of information about them, right, Do you

0:15:26.120 --> 0:15:27.880
<v Speaker 1>remember that study that came out in the last I

0:15:27.880 --> 0:15:30.000
<v Speaker 1>don't know year or so. It was like, I remember

0:15:30.080 --> 0:15:33.960
<v Speaker 1>that one. And there's one that Latania Sweeney Harvard she

0:15:34.160 --> 0:15:37.840
<v Speaker 1>did one where she proved that with three points of data,

0:15:38.040 --> 0:15:42.080
<v Speaker 1>which was gender, birth date, and ZIP code, she could

0:15:42.120 --> 0:15:49.320
<v Speaker 1>identify of US residents. So so nearly of all people

0:15:49.360 --> 0:15:51.680
<v Speaker 1>living in the United States she could identify just with

0:15:51.760 --> 0:15:55.480
<v Speaker 1>those three pieces of information. That One of the things

0:15:55.560 --> 0:15:57.720
<v Speaker 1>I like to stress to people is your name, which

0:15:57.760 --> 0:15:59.720
<v Speaker 1>you try to protect when you are when you think

0:15:59.760 --> 0:16:02.760
<v Speaker 1>you're being anonymous on the Internet and you use a handle,

0:16:03.240 --> 0:16:04.920
<v Speaker 1>so you're not using your name like I use my

0:16:05.040 --> 0:16:08.960
<v Speaker 1>name everywhere as my handle. That's just but most of

0:16:09.000 --> 0:16:10.760
<v Speaker 1>the time, but a lot of people like, no, I'm

0:16:10.760 --> 0:16:13.120
<v Speaker 1>going to use an anonymous handle. Your name is the

0:16:13.280 --> 0:16:16.800
<v Speaker 1>least important thing about you. I hate to break it

0:16:16.880 --> 0:16:21.040
<v Speaker 1>to you that because honestly, most of these companies don't care.

0:16:21.520 --> 0:16:23.240
<v Speaker 1>Just like I was saying, the shop owner with the

0:16:23.280 --> 0:16:25.920
<v Speaker 1>ice cream doesn't care who you are. Most of these

0:16:25.960 --> 0:16:28.640
<v Speaker 1>companies don't really care who you are. They care about

0:16:28.720 --> 0:16:34.440
<v Speaker 1>what you do. Yeah, and it's really interesting too, Like Google,

0:16:34.520 --> 0:16:38.680
<v Speaker 1>for instance, leverages large amounts of money and even some

0:16:38.840 --> 0:16:41.640
<v Speaker 1>of their best algorithmic computing power to make sure that

0:16:41.760 --> 0:16:46.520
<v Speaker 1>advertisers and marketers, for instance, don't engage in dishonest practices

0:16:46.880 --> 0:16:51.560
<v Speaker 1>or break Google's own rules about tracking data. And even

0:16:51.680 --> 0:16:54.760
<v Speaker 1>for Google, this is becoming like a herculean task. We

0:16:54.960 --> 0:16:58.280
<v Speaker 1>I talked to in for Cobreaker, I talked to some

0:16:58.440 --> 0:17:03.800
<v Speaker 1>people at Columbia's and Columbia grad students who are studying this,

0:17:04.400 --> 0:17:08.240
<v Speaker 1>and it's really interesting to see what gets pulled from

0:17:08.359 --> 0:17:12.720
<v Speaker 1>even like emails that you might send in Gmail, for instance. Yeah, yeah,

0:17:12.880 --> 0:17:16.600
<v Speaker 1>this is this is kind of um, kind of terrifying.

0:17:16.760 --> 0:17:19.080
<v Speaker 1>Also if you if you think about because you think

0:17:19.119 --> 0:17:22.600
<v Speaker 1>of email as being this this uh, private means of

0:17:22.680 --> 0:17:25.560
<v Speaker 1>communication that you know, just as you wouldn't expect someone

0:17:25.600 --> 0:17:29.240
<v Speaker 1>else to read your snail mail, that that would be

0:17:29.320 --> 0:17:32.840
<v Speaker 1>a violation of trust to find out that stuff is

0:17:32.880 --> 0:17:34.959
<v Speaker 1>popping up based on things that you've typed. Like if

0:17:34.960 --> 0:17:38.080
<v Speaker 1>you've written an email recently and then something that is

0:17:38.160 --> 0:17:40.800
<v Speaker 1>related to that email starts seemingly to pop up in

0:17:40.920 --> 0:17:43.639
<v Speaker 1>places you weren't expecting, you might think at first that

0:17:43.760 --> 0:17:46.200
<v Speaker 1>that's a weird coincidence. But if this happens a few

0:17:46.280 --> 0:17:49.040
<v Speaker 1>times like, Okay, this is not a coincidence. What is

0:17:49.080 --> 0:17:54.520
<v Speaker 1>going on? Yeah, it's really interesting. I think that's something Jonathan,

0:17:54.600 --> 0:17:57.320
<v Speaker 1>that so many people can relate to, right, this idea

0:17:57.600 --> 0:18:01.399
<v Speaker 1>of like, oh I looked at this use once or

0:18:01.520 --> 0:18:05.720
<v Speaker 1>I looked at you know, whatever, the whatever item that

0:18:05.800 --> 0:18:09.560
<v Speaker 1>you might buy online once and that advertisement follows you

0:18:09.680 --> 0:18:13.560
<v Speaker 1>around forever. Yeah, you had that great moment and codebreaker

0:18:13.640 --> 0:18:19.400
<v Speaker 1>in fact, about the sandals. Yes, the sandals that followed

0:18:19.440 --> 0:18:23.320
<v Speaker 1>Molly around. Every time I logged into Facebook for a

0:18:23.480 --> 0:18:26.080
<v Speaker 1>straight week, they would pop up, and I was so

0:18:26.240 --> 0:18:28.480
<v Speaker 1>scared because I was like, oh my god, I'm gonna

0:18:28.480 --> 0:18:30.120
<v Speaker 1>be sitting next to my boyfriend and I'm gonna log

0:18:30.200 --> 0:18:32.159
<v Speaker 1>onto Facebook and these sandals are going to come up,

0:18:32.240 --> 0:18:34.520
<v Speaker 1>and it's gonna reopen the wound, and he's going to

0:18:34.640 --> 0:18:37.280
<v Speaker 1>know that I was sending them to people asking for

0:18:37.359 --> 0:18:41.119
<v Speaker 1>an opinion. Did you change your behavior when you were

0:18:41.240 --> 0:18:44.040
<v Speaker 1>hanging out with him? Yeah, Like if we were loafing around,

0:18:44.840 --> 0:18:47.800
<v Speaker 1>I would open so many tabs and none of them

0:18:47.840 --> 0:18:52.680
<v Speaker 1>would be Facebook. This is a really funny story. What

0:18:52.760 --> 0:18:55.080
<v Speaker 1>does it make you think about? It made me wish

0:18:55.200 --> 0:18:59.560
<v Speaker 1>that I could go back to the days where Facebook

0:18:59.680 --> 0:19:02.000
<v Speaker 1>was just showing me things that I wanted to buy

0:19:02.400 --> 0:19:04.680
<v Speaker 1>and not things that I wanted to run away from.

0:19:05.520 --> 0:19:08.080
<v Speaker 1>That's uh, that's such a I mean, I've seen the

0:19:08.160 --> 0:19:13.320
<v Speaker 1>same sort of stuff and I've seen advertisements that it's odd,

0:19:13.440 --> 0:19:16.160
<v Speaker 1>like things that do not interest me at all. They're

0:19:16.240 --> 0:19:19.639
<v Speaker 1>just completely off base and I can't It's one of

0:19:19.680 --> 0:19:21.440
<v Speaker 1>those things where I think, well, maybe now, it's just

0:19:21.640 --> 0:19:25.280
<v Speaker 1>that the system hasn't gathered enough information about me to

0:19:25.400 --> 0:19:28.520
<v Speaker 1>get a good feel right, So I'm seeing stuff. It's

0:19:28.560 --> 0:19:31.280
<v Speaker 1>like this is the shotgun approach. I'm throwing everything I

0:19:31.400 --> 0:19:35.400
<v Speaker 1>can and hopefully stuff will work. Uh. Systems like Facebook,

0:19:35.400 --> 0:19:38.240
<v Speaker 1>for example, where you can actually go in to an

0:19:38.320 --> 0:19:43.280
<v Speaker 1>ad and say I am not interested in this, you know,

0:19:43.880 --> 0:19:46.720
<v Speaker 1>then maybe you'll end up getting a different selection of stuff,

0:19:46.760 --> 0:19:50.000
<v Speaker 1>but sometimes you'll just get different versions of the same

0:19:50.040 --> 0:19:53.640
<v Speaker 1>thing you already said. Uh, that's not it's not me man.

0:19:53.960 --> 0:19:57.640
<v Speaker 1>I appreciate the muscles on this dude, but I am

0:19:57.840 --> 0:20:00.560
<v Speaker 1>not going to be that guy. So I'm into I'm

0:20:00.600 --> 0:20:03.680
<v Speaker 1>into my little pony, but I I think I've outgrown it.

0:20:04.000 --> 0:20:08.320
<v Speaker 1>I look, my collection, my collection can only be so complete.

0:20:09.240 --> 0:20:11.800
<v Speaker 1>That's you know, there's you gotta draw the line after

0:20:11.880 --> 0:20:15.480
<v Speaker 1>like series five, I gotta say I'm done. I have

0:20:15.560 --> 0:20:18.600
<v Speaker 1>no more shelf space. Um, yeah, this is this is

0:20:18.720 --> 0:20:24.600
<v Speaker 1>one of those those amazing stories, like the story about

0:20:24.640 --> 0:20:27.400
<v Speaker 1>the sandals. Just just one of those things that has

0:20:27.440 --> 0:20:30.720
<v Speaker 1>happened to pretty much anyone who has been active online

0:20:30.760 --> 0:20:33.679
<v Speaker 1>over the last couple of years. And it's probably one

0:20:33.680 --> 0:20:35.639
<v Speaker 1>of those stories I would imagine that people start to

0:20:36.040 --> 0:20:39.760
<v Speaker 1>share not realizing that this is something that other people

0:20:39.840 --> 0:20:44.159
<v Speaker 1>have experienced. Yeah, right, it is. It feels like a

0:20:44.280 --> 0:20:46.880
<v Speaker 1>very personal experience, but it's something that seems to happen

0:20:46.920 --> 0:20:51.400
<v Speaker 1>to everyone. And it was interesting to see relatively recently Facebook,

0:20:51.440 --> 0:20:56.520
<v Speaker 1>I believe UM made it easier for people to control

0:20:57.040 --> 0:21:00.440
<v Speaker 1>how much of their ex girlfriend or a friend or

0:21:00.520 --> 0:21:06.480
<v Speaker 1>significant others information surfaced on their own timeline. Did you

0:21:06.520 --> 0:21:09.040
<v Speaker 1>see that story that came out relatively recently. He was

0:21:09.440 --> 0:21:12.680
<v Speaker 1>interesting this idea that like you know, you know, even

0:21:12.720 --> 0:21:16.640
<v Speaker 1>the tech companies they're really really good at data tracking

0:21:17.280 --> 0:21:20.280
<v Speaker 1>at this point, are still trying to figure out when

0:21:20.359 --> 0:21:24.480
<v Speaker 1>it goes wrong and how to help the user. In

0:21:24.600 --> 0:21:30.479
<v Speaker 1>some cases, UM make it a more kind of custom experience, right,

0:21:30.600 --> 0:21:34.880
<v Speaker 1>And and we should also stress that that the overwhelming

0:21:34.960 --> 0:21:38.320
<v Speaker 1>majority of companies out there do not want it to

0:21:38.440 --> 0:21:42.119
<v Speaker 1>go wrong, because that's that's counterproductive to what the end

0:21:42.480 --> 0:21:45.439
<v Speaker 1>end goal is, at least for the person that actually

0:21:45.480 --> 0:21:49.399
<v Speaker 1>bought the advertisement and the person who owns the place

0:21:49.480 --> 0:21:51.920
<v Speaker 1>where that ad is being shown. In the case of

0:21:52.000 --> 0:21:55.560
<v Speaker 1>targeted advertising, at least like they don't want that to

0:21:55.600 --> 0:21:57.360
<v Speaker 1>go badly. But in other cases, you know, they don't

0:21:57.400 --> 0:22:01.440
<v Speaker 1>want to go badly either that that's counterproductive. But it

0:22:01.640 --> 0:22:04.480
<v Speaker 1>is possible for this to go wrong even if everyone

0:22:04.720 --> 0:22:10.320
<v Speaker 1>is trying to use it to to people's benefit. And

0:22:10.800 --> 0:22:15.480
<v Speaker 1>on Codebreaker, you had a heartbreaking story about about a

0:22:15.560 --> 0:22:18.960
<v Speaker 1>father who shared some information, not not knowing, not even

0:22:19.080 --> 0:22:22.320
<v Speaker 1>realizing that that information was somehow going to make its

0:22:22.359 --> 0:22:26.440
<v Speaker 1>way into a database and then came back to haunt him. Yeah,

0:22:26.560 --> 0:22:30.040
<v Speaker 1>this guy, Mike say, and and this was happened a

0:22:30.119 --> 0:22:35.440
<v Speaker 1>few years back. He you know, unfortunately, um his his

0:22:35.680 --> 0:22:38.640
<v Speaker 1>one of his children, his daughter, died in a car accident.

0:22:39.000 --> 0:22:43.359
<v Speaker 1>And he went to buy some uh you know, he

0:22:43.440 --> 0:22:47.879
<v Speaker 1>went to buy some some actually some some um some

0:22:48.080 --> 0:22:51.400
<v Speaker 1>stuff for photos, Like he was putting together some photo albums,

0:22:51.440 --> 0:22:53.960
<v Speaker 1>and he went to buy some frames for those photos.

0:22:54.640 --> 0:22:58.239
<v Speaker 1>And the place that he called to do that Um,

0:22:58.640 --> 0:23:03.000
<v Speaker 1>he just in passing men sinned that his daughter had

0:23:03.040 --> 0:23:05.080
<v Speaker 1>died in this car accident. And the person that he

0:23:05.240 --> 0:23:09.720
<v Speaker 1>was talking to actually took down that information. And it's

0:23:09.720 --> 0:23:13.920
<v Speaker 1>still not clear how it how all of this happened,

0:23:14.000 --> 0:23:18.400
<v Speaker 1>but apparently they took down the information and that information

0:23:18.600 --> 0:23:21.240
<v Speaker 1>ended up getting sold to a data broker that sold

0:23:21.280 --> 0:23:25.280
<v Speaker 1>the information from the company he originally called to Office Max,

0:23:25.840 --> 0:23:30.639
<v Speaker 1>and then Office Max sent a letter to him. Um,

0:23:31.760 --> 0:23:37.000
<v Speaker 1>there was addressed to owner of the house or Mike,

0:23:37.160 --> 0:23:41.760
<v Speaker 1>say daughter died in a car accident. Um, And that's

0:23:41.800 --> 0:23:46.720
<v Speaker 1>when it goes really really wrong, right. The picture frames

0:23:46.800 --> 0:23:49.480
<v Speaker 1>I was was buying with through my children in the

0:23:49.560 --> 0:23:53.680
<v Speaker 1>bottom it had Ashley's name and her birth and death

0:23:53.800 --> 0:23:56.280
<v Speaker 1>date and that she loved them, and you know what

0:23:56.320 --> 0:24:00.399
<v Speaker 1>I mean, that's how she the conversation came about that

0:24:00.560 --> 0:24:04.480
<v Speaker 1>what is this for? And she took you know, the

0:24:04.520 --> 0:24:08.399
<v Speaker 1>information that would go on the bottom and put that,

0:24:08.600 --> 0:24:10.600
<v Speaker 1>you know, on whatever to get it stamp. But they

0:24:10.640 --> 0:24:13.520
<v Speaker 1>had nothing that it didn't say killed in car crashing

0:24:13.560 --> 0:24:17.320
<v Speaker 1>out of that that was all on her own. And

0:24:17.440 --> 0:24:20.119
<v Speaker 1>this is a totally separate company from Office Max. And

0:24:20.240 --> 0:24:24.280
<v Speaker 1>somehow Office Max got the information they bought the information

0:24:24.440 --> 0:24:30.400
<v Speaker 1>from a data group. So that information was sold from

0:24:30.560 --> 0:24:35.000
<v Speaker 1>things remembered to a data group that collects data and

0:24:35.080 --> 0:24:40.760
<v Speaker 1>then taken and sold to Office Max. And an Office

0:24:40.840 --> 0:24:44.680
<v Speaker 1>Max used without looking at it. What an an emotional

0:24:46.160 --> 0:24:50.119
<v Speaker 1>uh punch to the gut to see something like that.

0:24:50.960 --> 0:24:54.800
<v Speaker 1>And and honestly, you know, I mean, you know, Office

0:24:54.880 --> 0:24:59.360
<v Speaker 1>Max did not intend that. There's no sane reason anyone

0:24:59.440 --> 0:25:03.920
<v Speaker 1>would do at So it's clearly an epic mistake that

0:25:04.320 --> 0:25:08.600
<v Speaker 1>that could result in true emotional trauma, even if it's

0:25:08.680 --> 0:25:11.320
<v Speaker 1>just a momentary thing. You don't want any person to

0:25:11.440 --> 0:25:15.680
<v Speaker 1>experience that kind of thing. And uh, it was a

0:25:15.840 --> 0:25:20.199
<v Speaker 1>pure accident, I imagine based upon way back in the day,

0:25:20.240 --> 0:25:22.760
<v Speaker 1>I used to work for consultants. And when when I

0:25:22.840 --> 0:25:25.000
<v Speaker 1>worked for consultants, one of the things I had to

0:25:25.080 --> 0:25:30.479
<v Speaker 1>do was arranged giant mailing lists and print out tons

0:25:30.520 --> 0:25:33.840
<v Speaker 1>and tons and tons of mailing labels. And so you're

0:25:33.840 --> 0:25:37.640
<v Speaker 1>you're working with these big spreadsheets that are possibly thousands

0:25:37.960 --> 0:25:42.159
<v Speaker 1>of names long. So I'm guessing what happened was you

0:25:42.280 --> 0:25:45.560
<v Speaker 1>had the data entered into some sort of spreadsheet, and

0:25:46.359 --> 0:25:49.480
<v Speaker 1>probably the spreadsheet was converted at least once, and in

0:25:49.560 --> 0:25:53.240
<v Speaker 1>that conversion, a tab that had been or you know,

0:25:53.359 --> 0:25:56.800
<v Speaker 1>a cell that had just been labeled miscellaneous got put

0:25:56.880 --> 0:26:01.560
<v Speaker 1>into address instead of miscellany or title or something along

0:26:01.640 --> 0:26:06.440
<v Speaker 1>those lines. And that's when it went from one point

0:26:06.520 --> 0:26:09.920
<v Speaker 1>where it was a piece of data, which, as as

0:26:10.280 --> 0:26:12.639
<v Speaker 1>Mike said, like, why do people even need to know this?

0:26:13.359 --> 0:26:15.359
<v Speaker 1>No one needs to know this. This is this is

0:26:15.440 --> 0:26:18.000
<v Speaker 1>not a relevant piece of information. It should never have

0:26:18.119 --> 0:26:21.680
<v Speaker 1>gone into a database. But for that to then accidentally

0:26:21.680 --> 0:26:25.040
<v Speaker 1>get transposed into a cell that is going to show

0:26:25.160 --> 0:26:32.280
<v Speaker 1>up on a mailing label is incredibly it feels incredibly callous, yeah,

0:26:32.320 --> 0:26:35.600
<v Speaker 1>and invasive. And it also, you know, it reminds you that,

0:26:37.760 --> 0:26:39.520
<v Speaker 1>I mean, it reminds us all that the way we

0:26:39.720 --> 0:26:43.119
<v Speaker 1>view ourselves isn't always the way we're viewed by the world,

0:26:43.400 --> 0:26:47.720
<v Speaker 1>right and and and and that's an interesting aspect of

0:26:47.800 --> 0:26:52.879
<v Speaker 1>this too, this idea that basically a data profile of

0:26:53.640 --> 0:26:57.320
<v Speaker 1>most users on the Internet is being slowly put together

0:26:57.440 --> 0:27:01.959
<v Speaker 1>over time, and and you might be we all might

0:27:02.040 --> 0:27:07.000
<v Speaker 1>be really curious to know, um or disappointed to know, um,

0:27:08.119 --> 0:27:11.439
<v Speaker 1>what that data profile looks like from the other side. Now,

0:27:12.119 --> 0:27:14.399
<v Speaker 1>then let me ask you this. I'm gonna paint a

0:27:14.480 --> 0:27:19.720
<v Speaker 1>picture for you of a dystopia. Okay, that's that's sadly

0:27:20.480 --> 0:27:24.480
<v Speaker 1>not difficult to imagine based on our current events. All Right,

0:27:24.560 --> 0:27:28.000
<v Speaker 1>so I'm sure you heard, I mean, I'm absolutely certain

0:27:28.040 --> 0:27:31.040
<v Speaker 1>you heard about the app people p E E P

0:27:31.359 --> 0:27:34.480
<v Speaker 1>l E. Right, Yes, this was the one that was

0:27:34.760 --> 0:27:37.440
<v Speaker 1>supposed to be the yelp for people where you would

0:27:37.480 --> 0:27:42.399
<v Speaker 1>be able to rate other human beings, and so then

0:27:42.480 --> 0:27:44.880
<v Speaker 1>other human beings could see your rating and could see

0:27:44.960 --> 0:27:47.359
<v Speaker 1>ratings of other people, and it just seemed like it

0:27:47.520 --> 0:27:51.679
<v Speaker 1>was going to lead to fallout four. That's what literally

0:27:51.920 --> 0:27:55.920
<v Speaker 1>an idea, an idea whose time should have never come exactly. Now,

0:27:56.160 --> 0:27:59.399
<v Speaker 1>let's take that same basic concept, but instead of you

0:27:59.640 --> 0:28:03.320
<v Speaker 1>rating people, imagine that you get to look up what

0:28:03.560 --> 0:28:07.320
<v Speaker 1>that person's data profile is worth compared to your own.

0:28:09.320 --> 0:28:12.760
<v Speaker 1>Because guess what you could do that you could build

0:28:13.640 --> 0:28:17.080
<v Speaker 1>something where you start to look at the the robustness

0:28:17.200 --> 0:28:20.960
<v Speaker 1>of a data profile, at least for a certain given

0:28:21.200 --> 0:28:23.960
<v Speaker 1>set of transactions. Because keep in mind, there are a

0:28:24.000 --> 0:28:26.639
<v Speaker 1>lot of data brokers out there, and your profile in

0:28:26.720 --> 0:28:29.480
<v Speaker 1>one data broker's database may be very different from another

0:28:29.560 --> 0:28:34.280
<v Speaker 1>because it may be less or more complete or from

0:28:34.520 --> 0:28:38.400
<v Speaker 1>totally different sources than the other one. But that would

0:28:38.440 --> 0:28:42.240
<v Speaker 1>be a weird world where you say, wow, my life

0:28:42.720 --> 0:28:47.720
<v Speaker 1>is worth this much to a potential marketer, and my

0:28:47.920 --> 0:28:50.840
<v Speaker 1>friends life is worth twice as much. What am I

0:28:50.960 --> 0:28:53.680
<v Speaker 1>doing wrong in my life where I'm worth less? I mean,

0:28:53.920 --> 0:28:57.240
<v Speaker 1>it's this is what this is how companies are looking

0:28:57.280 --> 0:29:00.479
<v Speaker 1>at us. Yeah, and it is scary. Mean, I think

0:29:00.520 --> 0:29:03.160
<v Speaker 1>it's also fair to say that this is as scary

0:29:03.200 --> 0:29:05.520
<v Speaker 1>as it is to imagine that it is. It does

0:29:05.680 --> 0:29:08.320
<v Speaker 1>also have some connection to reality. I mean, when you

0:29:08.400 --> 0:29:11.320
<v Speaker 1>go into a bank and apply for a loan, um,

0:29:11.960 --> 0:29:15.600
<v Speaker 1>you're also being sort of sized up, right, um, And

0:29:16.400 --> 0:29:20.000
<v Speaker 1>over time, um, you know, we've we've we've seen some

0:29:20.200 --> 0:29:25.000
<v Speaker 1>actually some really big problems arise from how banks look

0:29:25.040 --> 0:29:28.360
<v Speaker 1>at people and look at people's ability to pay things back,

0:29:28.480 --> 0:29:30.720
<v Speaker 1>and how credit card companies do this, how your net

0:29:30.800 --> 0:29:34.280
<v Speaker 1>worth is calculated, how you're um, you know, your your

0:29:34.360 --> 0:29:38.000
<v Speaker 1>likelihood of paying a loan back is calculated. And but

0:29:38.080 --> 0:29:40.960
<v Speaker 1>at the same time, over time, there have been some

0:29:41.160 --> 0:29:45.600
<v Speaker 1>safeguards put in against discrimination, right, and a lot of

0:29:45.680 --> 0:29:48.640
<v Speaker 1>people have actually talked about this idea of data discrimination

0:29:48.720 --> 0:29:52.760
<v Speaker 1>over time and how um, we really need to think

0:29:52.800 --> 0:29:55.360
<v Speaker 1>about as we go forward and as more and more

0:29:55.440 --> 0:29:58.480
<v Speaker 1>data gets collected on on on users over time. I

0:29:58.560 --> 0:30:01.280
<v Speaker 1>mean people that were born, you know, in the last

0:30:01.320 --> 0:30:04.000
<v Speaker 1>ten years are going to have a very different life

0:30:04.280 --> 0:30:07.000
<v Speaker 1>on the Internet than even you or I have had, right,

0:30:07.080 --> 0:30:09.200
<v Speaker 1>I mean I wasn't on the Internet until I was

0:30:09.720 --> 0:30:12.800
<v Speaker 1>a teenager. So it's interesting to think about it. And

0:30:12.880 --> 0:30:15.680
<v Speaker 1>it's also you know, you would you would hope some

0:30:15.800 --> 0:30:19.760
<v Speaker 1>people are talking about this idea of like, you know,

0:30:20.080 --> 0:30:25.840
<v Speaker 1>if you are perceived to be a a person of

0:30:25.880 --> 0:30:31.040
<v Speaker 1>a certain race, a certain education level, tax bracketing like

0:30:31.160 --> 0:30:36.520
<v Speaker 1>that the tax bracket, then you might actually see a

0:30:36.680 --> 0:30:41.080
<v Speaker 1>web that is different from the web that someone else

0:30:41.360 --> 0:30:44.480
<v Speaker 1>with a different perceived data profile would see. Yeah, this

0:30:44.600 --> 0:30:47.400
<v Speaker 1>is this is like a dark twisted version of what

0:30:47.640 --> 0:30:51.760
<v Speaker 1>the semantic web is supposed to be. The semantic web

0:30:51.920 --> 0:30:55.640
<v Speaker 1>is supposed to learn about you and then respond to

0:30:55.840 --> 0:30:58.880
<v Speaker 1>what you want, so that you don't have to play

0:30:59.000 --> 0:31:01.960
<v Speaker 1>the game of the web search or the web browser.

0:31:02.320 --> 0:31:04.720
<v Speaker 1>You just say what you want and it returns exactly

0:31:04.760 --> 0:31:08.080
<v Speaker 1>what you want, possibly from multiple sources, so you're not

0:31:08.160 --> 0:31:11.240
<v Speaker 1>even going to a web page in the semantic web necessarily.

0:31:11.320 --> 0:31:14.479
<v Speaker 1>It may be that it's pulling things from various sources

0:31:14.600 --> 0:31:18.040
<v Speaker 1>and presenting you kind of a united view. That's one

0:31:18.240 --> 0:31:21.400
<v Speaker 1>realization of what those semantic web would look like. This

0:31:21.720 --> 0:31:24.640
<v Speaker 1>this is similar to that, but a very dark version

0:31:24.760 --> 0:31:28.680
<v Speaker 1>where it's not responding to what you want, it's responding

0:31:28.760 --> 0:31:32.280
<v Speaker 1>to what the other side wants based upon what they

0:31:32.320 --> 0:31:35.320
<v Speaker 1>think they can get out of you. Yeah, and that's

0:31:35.360 --> 0:31:39.280
<v Speaker 1>a really scary thing. I mean there's also some potential

0:31:39.400 --> 0:31:42.640
<v Speaker 1>good from that can come from this, right. Um And

0:31:42.840 --> 0:31:45.840
<v Speaker 1>and you know, other people are talking about this idea

0:31:46.360 --> 0:31:51.440
<v Speaker 1>of you know, a time at which maybe people actually

0:31:51.520 --> 0:31:54.960
<v Speaker 1>start to you know, the data is more valuable big data.

0:31:55.480 --> 0:31:57.960
<v Speaker 1>You know, it's all perceived to be more valuable to

0:31:58.200 --> 0:32:02.160
<v Speaker 1>companies and marketers and and and and certain organizations in

0:32:02.240 --> 0:32:06.120
<v Speaker 1>the aggregate. Right, So what if we actually reached a

0:32:06.240 --> 0:32:10.680
<v Speaker 1>time where um not I won't say like data gets

0:32:10.840 --> 0:32:14.560
<v Speaker 1>unionized necessarily, but like, what if you reach the time

0:32:14.680 --> 0:32:20.920
<v Speaker 1>where users actually banded together and did collective bargaining on

0:32:21.080 --> 0:32:25.080
<v Speaker 1>behalf of their data in order to say, hey, okay,

0:32:25.160 --> 0:32:30.240
<v Speaker 1>my data maybe only half of a penny value, but

0:32:30.800 --> 0:32:33.200
<v Speaker 1>when I get together with this large group of other

0:32:33.400 --> 0:32:37.240
<v Speaker 1>users that I that I'm aligned with, it's actually worth

0:32:37.280 --> 0:32:40.520
<v Speaker 1>a lot more. And I want to align myself with

0:32:40.600 --> 0:32:44.800
<v Speaker 1>this large group and then sell that um and actually

0:32:45.120 --> 0:32:48.000
<v Speaker 1>gained some agency in that way and gain maybe some

0:32:48.440 --> 0:32:51.959
<v Speaker 1>some money. You're you're like creating a brand new career

0:32:52.360 --> 0:33:00.960
<v Speaker 1>a data agent, Like they're like Dave Walkers. When if

0:33:01.000 --> 0:33:04.320
<v Speaker 1>you want to go the vampire route, Yeah, that's that,

0:33:04.640 --> 0:33:08.160
<v Speaker 1>that's I I honestly had never considered that, but that

0:33:08.400 --> 0:33:12.000
<v Speaker 1>is a really compelling idea, especially when you think even

0:33:12.080 --> 0:33:13.720
<v Speaker 1>if you go on a route where you're like, all right,

0:33:13.760 --> 0:33:15.760
<v Speaker 1>we're not doing this to make money, We're doing this

0:33:15.840 --> 0:33:19.000
<v Speaker 1>so that we're only opting into the things that we

0:33:19.280 --> 0:33:22.880
<v Speaker 1>agree with that we find acceptable. One of the other

0:33:22.960 --> 0:33:28.080
<v Speaker 1>things about data tracking that I think is problematic is

0:33:28.160 --> 0:33:32.960
<v Speaker 1>that sure, uh, you might be getting stuff that's reacting

0:33:33.040 --> 0:33:35.760
<v Speaker 1>to your behavior, but a lot of that is going

0:33:35.800 --> 0:33:38.760
<v Speaker 1>to be based on guesswork. So for example, if I

0:33:39.280 --> 0:33:42.800
<v Speaker 1>have posted a lot about hiking, it maybe that I

0:33:42.920 --> 0:33:46.920
<v Speaker 1>get a lot of advertisements for outdoor supply stores like

0:33:47.040 --> 0:33:49.280
<v Speaker 1>camping gear, that kind of stuff. And it may be

0:33:49.400 --> 0:33:52.280
<v Speaker 1>that that doesn't fully overlap with my interests. That's not

0:33:52.800 --> 0:33:55.840
<v Speaker 1>terrible or whatever, but it also could mean that I

0:33:56.000 --> 0:34:00.760
<v Speaker 1>start to have a narrower selection of things presented to me,

0:34:01.040 --> 0:34:03.200
<v Speaker 1>which in one way is good, but it also means

0:34:03.760 --> 0:34:10.040
<v Speaker 1>it takes away the possibility of discovery. Yeah, this is

0:34:10.120 --> 0:34:14.400
<v Speaker 1>a huge I mean, this is a really interesting idea

0:34:14.400 --> 0:34:17.480
<v Speaker 1>and a really interesting topic, right. I mean, Amazon is

0:34:17.760 --> 0:34:20.680
<v Speaker 1>is kind of thinking about, I think trying to do this.

0:34:20.920 --> 0:34:23.279
<v Speaker 1>I mean, there there are companies that would would love

0:34:23.360 --> 0:34:25.319
<v Speaker 1>to be able to basically when you go to their

0:34:25.440 --> 0:34:28.400
<v Speaker 1>homepage they basically say or not that we would ever

0:34:28.520 --> 0:34:31.640
<v Speaker 1>necessarily do that in the future, but you you, whatever,

0:34:31.800 --> 0:34:36.240
<v Speaker 1>you you engage with their platform, they would say, here's

0:34:36.360 --> 0:34:41.040
<v Speaker 1>the three products you can choose from today. Yeah, right, right,

0:34:41.640 --> 0:34:46.320
<v Speaker 1>And that does, as you say, really reduce this idea

0:34:46.360 --> 0:34:48.680
<v Speaker 1>of discovery. And this is you know, this happens in

0:34:48.719 --> 0:34:51.960
<v Speaker 1>the media world to write this idea of like UM

0:34:52.200 --> 0:34:55.640
<v Speaker 1>and in the social media world, this idea of UM

0:34:56.239 --> 0:35:00.719
<v Speaker 1>being able to curate so in such a you know,

0:35:00.920 --> 0:35:05.120
<v Speaker 1>a focused way to the individual user also makes it

0:35:05.239 --> 0:35:09.080
<v Speaker 1>so that user doesn't i don't know, read the New

0:35:09.160 --> 0:35:13.120
<v Speaker 1>York Times and and learn anything about what goes on

0:35:13.320 --> 0:35:16.080
<v Speaker 1>outside of their own interest. Here it becomes it becomes

0:35:16.160 --> 0:35:20.560
<v Speaker 1>like the ultimate echo chamber, where where you know you're

0:35:20.640 --> 0:35:24.520
<v Speaker 1>you're you're stuck there seeing the same stuff and maybe

0:35:24.560 --> 0:35:27.200
<v Speaker 1>you don't even realize that we're we're heading to like

0:35:27.640 --> 0:35:30.200
<v Speaker 1>this is almost a Terry Gilliam film what we're describing

0:35:30.239 --> 0:35:33.440
<v Speaker 1>at this right, Like we're heading to Brazil right now,

0:35:34.719 --> 0:35:37.279
<v Speaker 1>let's head. Let's say I'm ready for that movie. I mean,

0:35:37.320 --> 0:35:40.400
<v Speaker 1>I don't want to be in the reality that it depicts.

0:35:40.440 --> 0:35:42.680
<v Speaker 1>I don't want to be I don't want it to

0:35:42.760 --> 0:35:45.600
<v Speaker 1>be reality. But I would totally watch that movie. Yeah,

0:35:45.760 --> 0:35:48.680
<v Speaker 1>me too. When we're talking big data, when we're talking

0:35:48.760 --> 0:35:51.000
<v Speaker 1>about all the information that's going out there, and we

0:35:51.120 --> 0:35:54.480
<v Speaker 1>mentioned the fact that companies are buying profiles in the

0:35:55.000 --> 0:35:59.160
<v Speaker 1>tens or hundreds of thousands or more. Here's why. Let

0:35:59.239 --> 0:36:01.960
<v Speaker 1>me give you a few statistics on how much information

0:36:02.719 --> 0:36:06.600
<v Speaker 1>is hitting the Internet on a per minute basis. This

0:36:06.840 --> 0:36:09.759
<v Speaker 1>is based off of research that was conducted by a

0:36:09.960 --> 0:36:13.480
<v Speaker 1>data company called Domo, and this was published in August

0:36:13.600 --> 0:36:16.240
<v Speaker 1>of two thousand fifteen, So keep in mind these numbers

0:36:16.280 --> 0:36:22.120
<v Speaker 1>are already old. But every single minute, Amazon receives four

0:36:22.200 --> 0:36:27.279
<v Speaker 1>thousand three unique visitors. So Amazon is one of those

0:36:27.320 --> 0:36:32.000
<v Speaker 1>companies that's really good at doing this focused data tracking

0:36:32.080 --> 0:36:34.800
<v Speaker 1>that you know, this is where you buy a product

0:36:34.880 --> 0:36:36.919
<v Speaker 1>and it says, hey, people who bought this product also

0:36:37.040 --> 0:36:41.080
<v Speaker 1>bought these other things, and then you think, oh, right, right,

0:36:41.239 --> 0:36:43.480
<v Speaker 1>I should get that. It's like it's like the perfect

0:36:43.880 --> 0:36:50.880
<v Speaker 1>impulse by shelf, and it's customized for every single purchase. Right,

0:36:50.960 --> 0:36:55.640
<v Speaker 1>I do need batteries and dog biscuits. How did you know, Well,

0:36:55.680 --> 0:36:59.239
<v Speaker 1>there's there's there's there's this other level two uh that

0:36:59.760 --> 0:37:02.640
<v Speaker 1>that people are starting to imagine when you think about

0:37:02.920 --> 0:37:07.600
<v Speaker 1>companies like nest Um, and you think about smart televisions

0:37:07.680 --> 0:37:10.279
<v Speaker 1>that actually interact with your refrigerator. And one of the

0:37:10.360 --> 0:37:15.280
<v Speaker 1>most convincing sort of imagined scenarios that was ever presented

0:37:15.360 --> 0:37:18.520
<v Speaker 1>to me in recent years was this idea that essentially,

0:37:18.600 --> 0:37:23.960
<v Speaker 1>over time, your refrigerator learns that you go for ice cream.

0:37:24.200 --> 0:37:27.400
<v Speaker 1>You go in for that vanilla ice cream, um, right

0:37:27.480 --> 0:37:33.160
<v Speaker 1>around eight pm, and um, it tells your television that.

0:37:33.760 --> 0:37:37.120
<v Speaker 1>And then in the world of streaming that you know,

0:37:37.239 --> 0:37:39.800
<v Speaker 1>more and more people are doing on their actual television

0:37:39.880 --> 0:37:42.040
<v Speaker 1>instead of having it connected to a you know, a

0:37:42.120 --> 0:37:47.000
<v Speaker 1>cable channel. Um, you actually get at eight forty five,

0:37:47.239 --> 0:37:51.800
<v Speaker 1>you get an advertisement for ice cream, which reminds you

0:37:52.280 --> 0:37:54.360
<v Speaker 1>to go and eat some ice cream, and then you

0:37:54.480 --> 0:37:56.640
<v Speaker 1>end up eating more ice cream, and then you end

0:37:56.760 --> 0:37:59.600
<v Speaker 1>up buying This is the world where the appliances are

0:37:59.640 --> 0:38:03.920
<v Speaker 1>working against you. Yes, they're not telling you to eat

0:38:03.960 --> 0:38:07.560
<v Speaker 1>a kale sale, or maybe they are. Yeah, that's also possible.

0:38:07.640 --> 0:38:09.480
<v Speaker 1>Like if you have if you have this thing where

0:38:09.520 --> 0:38:11.920
<v Speaker 1>you're going out and buying kale salads and then you're

0:38:11.960 --> 0:38:14.400
<v Speaker 1>watching a lot of you know, food type stuff, and

0:38:14.520 --> 0:38:17.680
<v Speaker 1>you're you might end up getting Hey, here's a quick recipe,

0:38:17.880 --> 0:38:20.080
<v Speaker 1>and here are the fourteen ingredients you don't have that

0:38:20.200 --> 0:38:23.759
<v Speaker 1>you need to go to Whole Foods and buy. Um. Yeah,

0:38:24.239 --> 0:38:26.879
<v Speaker 1>it's a world. I host a show. I host another

0:38:26.920 --> 0:38:30.520
<v Speaker 1>show called Forward Thinking, and in that show it's it's

0:38:30.560 --> 0:38:32.959
<v Speaker 1>an optimistic view of the future. And I have often

0:38:33.040 --> 0:38:35.800
<v Speaker 1>looked at this side from the optimist side, and it

0:38:36.040 --> 0:38:38.960
<v Speaker 1>is similar to what you were saying about. Every single

0:38:39.080 --> 0:38:43.719
<v Speaker 1>person's web experience could be unique to them based upon

0:38:43.840 --> 0:38:46.719
<v Speaker 1>these factors. Uh. And and there's a way of doing

0:38:46.840 --> 0:38:50.680
<v Speaker 1>that where it is not kind of the scary, oppressive

0:38:50.960 --> 0:38:53.520
<v Speaker 1>type of way. But I I talk about how with

0:38:53.600 --> 0:38:57.279
<v Speaker 1>the Internet of things and with this connectivity of different appliances,

0:38:58.120 --> 0:38:59.920
<v Speaker 1>it's not that far of a stretch to a man,

0:39:00.360 --> 0:39:05.640
<v Speaker 1>not just the web, your experience of reality could get

0:39:05.680 --> 0:39:07.800
<v Speaker 1>to a point where a lot of it is catered

0:39:07.960 --> 0:39:12.080
<v Speaker 1>specifically to you. Yeah, and there could be a lot

0:39:12.120 --> 0:39:14.600
<v Speaker 1>of good things that come out of that, right, um

0:39:15.080 --> 0:39:19.239
<v Speaker 1>and and and and I totally believe in that possibility.

0:39:19.280 --> 0:39:22.319
<v Speaker 1>I mean, like like we like you said, I think

0:39:22.440 --> 0:39:26.960
<v Speaker 1>so um so thoughtfully when you came in and and

0:39:27.320 --> 0:39:30.000
<v Speaker 1>and uh talked about this stuff with me on Codebreaker,

0:39:30.719 --> 0:39:35.280
<v Speaker 1>was was basically this idea that look, it's um I'm

0:39:35.320 --> 0:39:38.080
<v Speaker 1>not going to pull out the quotes so eloquently as

0:39:38.160 --> 0:39:42.160
<v Speaker 1>you did, but look, this technology can it's us that

0:39:42.400 --> 0:39:45.279
<v Speaker 1>makes it good or bad? Right we We we have

0:39:45.560 --> 0:39:49.000
<v Speaker 1>the power theoretically too to make all of this stuff

0:39:49.040 --> 0:39:51.680
<v Speaker 1>and make data tracking work for us as users and

0:39:51.800 --> 0:39:55.120
<v Speaker 1>work for us as organizations and companies. I mean, I

0:39:55.200 --> 0:39:58.040
<v Speaker 1>think a lot about the possibility of data tracking being

0:39:58.200 --> 0:40:01.520
<v Speaker 1>really good in a few sure where our climate is changing.

0:40:02.320 --> 0:40:06.320
<v Speaker 1>Um and and the fact that we really understand on

0:40:06.400 --> 0:40:10.680
<v Speaker 1>a global level a lot more about our climate than

0:40:10.920 --> 0:40:15.040
<v Speaker 1>we did even thirty years ago thanks to an increased

0:40:15.120 --> 0:40:17.400
<v Speaker 1>level of data tracking, right right, And and that is

0:40:17.440 --> 0:40:19.880
<v Speaker 1>an important point to make, Ben, is that data tracking

0:40:20.320 --> 0:40:24.360
<v Speaker 1>does not necessarily mean it's about just people. Although people

0:40:24.400 --> 0:40:27.000
<v Speaker 1>are an important factor when you're looking even at climate change.

0:40:27.040 --> 0:40:29.520
<v Speaker 1>Because you want to see, well, how is this affecting

0:40:29.600 --> 0:40:33.120
<v Speaker 1>actual human beings as well as the environment in general.

0:40:33.200 --> 0:40:35.640
<v Speaker 1>You need to know the whole picture. But data tracking

0:40:35.760 --> 0:40:40.040
<v Speaker 1>is really it's it's agnostic as far as what the

0:40:40.160 --> 0:40:45.480
<v Speaker 1>data actually represents. Like we're talking about data about everything,

0:40:46.200 --> 0:40:48.120
<v Speaker 1>you know, anything that you can imagine that can be

0:40:48.239 --> 0:40:51.440
<v Speaker 1>quantified in the form of data that is being tracked

0:40:51.840 --> 0:40:55.719
<v Speaker 1>by someone for some reason. Some of those reasons are good,

0:40:56.160 --> 0:41:00.920
<v Speaker 1>some of those reasons are way not good. But but

0:41:01.040 --> 0:41:05.040
<v Speaker 1>it's not all just about people. And it's interesting too

0:41:05.080 --> 0:41:07.360
<v Speaker 1>to think about I wonder what you think about this,

0:41:07.480 --> 0:41:13.400
<v Speaker 1>But it's interesting too to think about just how I

0:41:13.480 --> 0:41:15.680
<v Speaker 1>think a lot of it feels out of control at

0:41:15.719 --> 0:41:18.680
<v Speaker 1>this point for the user. It feels like we don't

0:41:18.840 --> 0:41:22.440
<v Speaker 1>fully understand it. We don't fully understand how it's being used.

0:41:22.920 --> 0:41:25.359
<v Speaker 1>Um and what data about us is being tracked as

0:41:25.480 --> 0:41:29.560
<v Speaker 1>users and um and you know, government, I mean the

0:41:29.680 --> 0:41:32.440
<v Speaker 1>FTC in the past few years has become much more

0:41:32.560 --> 0:41:37.840
<v Speaker 1>involved in this idea of helping consumers protect themselves against

0:41:38.200 --> 0:41:41.399
<v Speaker 1>you know, abusive forms of data traction um if you will,

0:41:42.040 --> 0:41:43.880
<v Speaker 1>um and and there are a lot of qui and

0:41:44.000 --> 0:41:46.200
<v Speaker 1>and and also it's fair to say that. I think

0:41:46.239 --> 0:41:49.719
<v Speaker 1>a lot of tech companies have endeavored to put not

0:41:49.880 --> 0:41:53.240
<v Speaker 1>only in terms of service agreements, but in the actual

0:41:53.360 --> 0:41:56.520
<v Speaker 1>tools that they give to the user when they manage

0:41:56.520 --> 0:41:59.120
<v Speaker 1>their own accounts, as you know, to put the power

0:41:59.200 --> 0:42:02.160
<v Speaker 1>in the user's hand ends to control this. But you know,

0:42:02.640 --> 0:42:04.879
<v Speaker 1>let's be honest, right, I mean, you and I don't

0:42:04.960 --> 0:42:08.440
<v Speaker 1>necessarily read all of the terms of services. You're telling

0:42:08.600 --> 0:42:12.359
<v Speaker 1>me you don't read every end user license agreement. You don't.

0:42:12.480 --> 0:42:17.680
<v Speaker 1>You can't recite the you know, it's it's tough. It's tough.

0:42:17.880 --> 0:42:20.840
<v Speaker 1>I can't remember the last time, Honestly, I cannot remember

0:42:20.880 --> 0:42:25.160
<v Speaker 1>the last time I actually read ULA because who who

0:42:25.320 --> 0:42:29.120
<v Speaker 1>has time for that? I want to use your shiny

0:42:29.239 --> 0:42:32.440
<v Speaker 1>new toy. I don't care that I've given up all

0:42:32.560 --> 0:42:35.080
<v Speaker 1>my privacy and if I as long as I get

0:42:35.160 --> 0:42:37.640
<v Speaker 1>to play with the shiny new toy. If my b

0:42:37.800 --> 0:42:42.080
<v Speaker 1>B eight remote control droid is secretly telling Disney exactly

0:42:42.200 --> 0:42:45.840
<v Speaker 1>how to make me buy more BB eight remote control droids,

0:42:46.120 --> 0:42:50.960
<v Speaker 1>so be it. Um. It all comes back to Star Wars. Well,

0:42:51.040 --> 0:42:54.400
<v Speaker 1>I mean, you know, the force is strong in my family.

0:42:54.560 --> 0:42:57.480
<v Speaker 1>My father has it, I have it, my sister has it.

0:42:57.760 --> 0:43:00.759
<v Speaker 1>So uh, you know. This is. This has been a

0:43:00.840 --> 0:43:04.800
<v Speaker 1>great conversation, great talk about this topic. And uh, you

0:43:04.880 --> 0:43:07.920
<v Speaker 1>know again, if you guys haven't checked out Code Breaker,

0:43:08.000 --> 0:43:12.400
<v Speaker 1>you definitely need to remedy that immediately. It is a

0:43:12.480 --> 0:43:16.000
<v Speaker 1>phenomenal series that covers various topics. And this is your

0:43:16.040 --> 0:43:19.840
<v Speaker 1>first season, right, this is our first season, Jonathan, and

0:43:20.160 --> 0:43:22.600
<v Speaker 1>we're looking forward to having you back on for our

0:43:22.680 --> 0:43:26.600
<v Speaker 1>second season, which is coming soon. Um. But but yeah,

0:43:26.640 --> 0:43:28.400
<v Speaker 1>it's it's been a lot of fun and and it

0:43:28.520 --> 0:43:30.640
<v Speaker 1>was it was great fun to talk to you on

0:43:30.760 --> 0:43:34.239
<v Speaker 1>Codebreaker and um, and have you be a part of

0:43:34.280 --> 0:43:37.799
<v Speaker 1>the show, and and we hope you'll you'll keep listening absolutely,

0:43:37.880 --> 0:43:40.760
<v Speaker 1>And guys, you also have to know this thing about

0:43:40.840 --> 0:43:45.080
<v Speaker 1>Code Breaker because it's a gimmick that's so good. I

0:43:45.360 --> 0:43:50.000
<v Speaker 1>was mad at myself for never thinking about it. This

0:43:50.200 --> 0:43:53.879
<v Speaker 1>is it was brilliant you you produced, you had all

0:43:53.920 --> 0:43:56.279
<v Speaker 1>of the shows produced and ready to go, and you

0:43:56.520 --> 0:44:01.440
<v Speaker 1>hid codes in the episodes. And if you're able to

0:44:01.560 --> 0:44:04.320
<v Speaker 1>break the code, you can listen to the next episode

0:44:04.400 --> 0:44:08.800
<v Speaker 1>before it publishes. Yes, well we should start, you know,

0:44:09.040 --> 0:44:13.320
<v Speaker 1>I mean, you know I'm ready to have we embedded

0:44:13.360 --> 0:44:16.000
<v Speaker 1>a secret code in this episode, John, you know I

0:44:16.440 --> 0:44:19.759
<v Speaker 1>like to say yes just to drive people crazy, but

0:44:19.840 --> 0:44:23.719
<v Speaker 1>I'm not gonna do that. I was just so proud

0:44:23.800 --> 0:44:28.560
<v Speaker 1>of myself for for breaking the the Morse code. In

0:44:28.680 --> 0:44:31.960
<v Speaker 1>the you did an episode about internet porn, which is

0:44:32.600 --> 0:44:36.520
<v Speaker 1>an incredible episode. Probably not safe for you to listen

0:44:36.600 --> 0:44:40.960
<v Speaker 1>to on speakers if you have, not safe for work

0:44:41.080 --> 0:44:43.640
<v Speaker 1>or for little ones, obviously for for obvious reasons. But

0:44:43.680 --> 0:44:48.000
<v Speaker 1>it's a real honest look at what is not only

0:44:48.120 --> 0:44:53.640
<v Speaker 1>a big industry online but legitimately it can make or

0:44:53.800 --> 0:44:59.560
<v Speaker 1>break certain types of of on the edge technologies. Like

0:45:00.440 --> 0:45:03.640
<v Speaker 1>if you wonder why Blu ray one over h D

0:45:03.880 --> 0:45:08.600
<v Speaker 1>d v D, it's one of the big reasons. I mean,

0:45:08.960 --> 0:45:11.680
<v Speaker 1>you know, it's it's crazy to think about that. If

0:45:11.719 --> 0:45:17.320
<v Speaker 1>you wonder why the A v N conference overlapped with

0:45:17.440 --> 0:45:22.600
<v Speaker 1>CS for so many years, this is why. It's an

0:45:22.640 --> 0:45:24.919
<v Speaker 1>incredible episode and I managed to actually break the code,

0:45:25.000 --> 0:45:28.240
<v Speaker 1>and I was probably a little more proud of myself

0:45:28.320 --> 0:45:32.920
<v Speaker 1>than I should have been. Well, now you should, I

0:45:33.000 --> 0:45:35.640
<v Speaker 1>mean you should be proud. It's Morris code. It's it's

0:45:35.880 --> 0:45:39.560
<v Speaker 1>it's not used, um, you know, very very widely anymore

0:45:39.719 --> 0:45:42.719
<v Speaker 1>by by at least most people. But it's uh, it's

0:45:42.719 --> 0:45:44.520
<v Speaker 1>always a good thing to know. Yeah, it turns out

0:45:44.680 --> 0:45:48.160
<v Speaker 1>you know, once you once you commit that scout stuff

0:45:48.280 --> 0:45:52.400
<v Speaker 1>to memory and have and have a web page opened

0:45:52.480 --> 0:45:54.239
<v Speaker 1>up that tells you what the dots and dashes me

0:45:54.360 --> 0:45:58.000
<v Speaker 1>because I didn't remember, but but it's still it's it's

0:45:58.040 --> 0:46:00.920
<v Speaker 1>a it's a great way to engage the listeners on

0:46:01.120 --> 0:46:05.480
<v Speaker 1>top of this interesting take you have on the different topics.

0:46:05.560 --> 0:46:08.960
<v Speaker 1>So guys, make sure you go and check that out. Ben,

0:46:09.440 --> 0:46:12.200
<v Speaker 1>Thank you so much for agreeing to be part of this.

0:46:12.360 --> 0:46:15.040
<v Speaker 1>This was I think a really fun kind of complimentary

0:46:15.200 --> 0:46:21.000
<v Speaker 1>piece to your Codebreaker episode, which again, uh, I really

0:46:21.120 --> 0:46:23.320
<v Speaker 1>enjoyed you guys. Let me listen to it before I

0:46:23.480 --> 0:46:27.480
<v Speaker 1>was even I recorded the final segment on that episode

0:46:27.760 --> 0:46:30.239
<v Speaker 1>and I got to listen to everything up to that point,

0:46:30.320 --> 0:46:32.319
<v Speaker 1>and I was just I was like, are you sure

0:46:32.360 --> 0:46:35.560
<v Speaker 1>you want me? You're bat and clean up man, you

0:46:35.640 --> 0:46:38.120
<v Speaker 1>are are close up. We love im. Glad, glad I

0:46:38.160 --> 0:46:41.560
<v Speaker 1>could could be of service. It was an honor. So well,

0:46:41.640 --> 0:46:43.440
<v Speaker 1>it was great to have you. It was great to

0:46:43.520 --> 0:46:46.160
<v Speaker 1>have you on and when we're big fans of tech stuff,

0:46:46.239 --> 0:46:49.239
<v Speaker 1>so we're like, um, it was thank you so much

0:46:49.280 --> 0:46:51.560
<v Speaker 1>for for having me and for for talking to me

0:46:51.600 --> 0:46:54.279
<v Speaker 1>about this stuff, and I think, I don't know, man,

0:46:54.360 --> 0:46:57.440
<v Speaker 1>I you know, I end up feeling you know, I

0:46:57.520 --> 0:46:59.759
<v Speaker 1>think so many of us end up healing lost right

0:47:00.000 --> 0:47:02.400
<v Speaker 1>about when it when it comes to data tracking. And

0:47:02.719 --> 0:47:05.400
<v Speaker 1>my only hope is that is that I mean not

0:47:05.520 --> 0:47:07.120
<v Speaker 1>to say that there should be an app for that,

0:47:07.320 --> 0:47:09.279
<v Speaker 1>but you know, I'm my only hope is that we

0:47:09.400 --> 0:47:12.479
<v Speaker 1>will at some point reach a reach a stage where

0:47:13.400 --> 0:47:17.239
<v Speaker 1>it's easier for the user to to really have control

0:47:17.440 --> 0:47:20.600
<v Speaker 1>over what they're sharing and and and also users are

0:47:20.680 --> 0:47:25.160
<v Speaker 1>more more educated about what they're sharing. Um, and I

0:47:25.280 --> 0:47:27.759
<v Speaker 1>think I think we're all, you know, we're all a

0:47:27.840 --> 0:47:29.920
<v Speaker 1>little bit on the hook for for not being more

0:47:30.080 --> 0:47:33.480
<v Speaker 1>educated about what we're sharing. But we're also you know,

0:47:33.640 --> 0:47:37.319
<v Speaker 1>we also need better tools to understand how we are

0:47:37.680 --> 0:47:39.640
<v Speaker 1>sharing our data and how it's being trapped and we

0:47:39.840 --> 0:47:44.839
<v Speaker 1>and we definitely need to hold government accountable for making

0:47:44.920 --> 0:47:50.640
<v Speaker 1>sure they create and foster departments that are specialized in

0:47:51.520 --> 0:47:55.080
<v Speaker 1>informing other bodies of government about these things, keeping up

0:47:55.120 --> 0:47:58.040
<v Speaker 1>to date, because as we know, I mean, we're we're

0:47:58.320 --> 0:48:01.320
<v Speaker 1>still seeing an era where people who are in positions

0:48:01.360 --> 0:48:05.560
<v Speaker 1>of power often they have limited to no experience with

0:48:05.920 --> 0:48:07.880
<v Speaker 1>a lot of the things that are affecting us on

0:48:07.960 --> 0:48:11.920
<v Speaker 1>a daily basis. Oh man, those those those uh, those

0:48:11.960 --> 0:48:15.960
<v Speaker 1>Supreme Court transcripts. Man, it's a sad world. So if

0:48:16.000 --> 0:48:19.480
<v Speaker 1>we're gonna like, we can't wait until the millennials are

0:48:19.520 --> 0:48:22.840
<v Speaker 1>in the Supreme Court for one thing, I'm gonna be

0:48:23.000 --> 0:48:26.080
<v Speaker 1>dead by then, So I would like to see things

0:48:26.120 --> 0:48:28.359
<v Speaker 1>improve before that. But that's that's one of those real

0:48:28.520 --> 0:48:33.000
<v Speaker 1>challenges is that we have a different population and positions

0:48:33.040 --> 0:48:37.000
<v Speaker 1>of power who they may have every desire to help

0:48:37.160 --> 0:48:40.520
<v Speaker 1>us make sure that these things are being used in

0:48:40.560 --> 0:48:44.680
<v Speaker 1>a responsible way, a non predatory, and an ethical way,

0:48:45.760 --> 0:48:48.560
<v Speaker 1>but they have, you know, to them, it's it's like

0:48:48.719 --> 0:48:50.840
<v Speaker 1>if you were to present me with a page written

0:48:50.840 --> 0:48:53.080
<v Speaker 1>in Greek, I would have no idea what to do

0:48:53.200 --> 0:48:58.920
<v Speaker 1>with that. So what technology moves faster than policy? And

0:48:59.160 --> 0:49:01.440
<v Speaker 1>and and and I think it's it's as true with

0:49:01.560 --> 0:49:05.000
<v Speaker 1>data tracking as anything else. And it's just, um, it's

0:49:05.000 --> 0:49:06.880
<v Speaker 1>a reality that we all have to deal with. But

0:49:07.000 --> 0:49:10.439
<v Speaker 1>it's it's it's something that hopefully will will change over time,

0:49:10.760 --> 0:49:15.239
<v Speaker 1>and it's not not not before, not before. A lot

0:49:15.280 --> 0:49:18.120
<v Speaker 1>of stuff happens that many people may regret. So it's

0:49:18.239 --> 0:49:21.520
<v Speaker 1>it's always good to be thinking about it. Yeah, absolutely, Uh,

0:49:21.760 --> 0:49:23.520
<v Speaker 1>you know, I'm gonna have to have you back on

0:49:23.640 --> 0:49:25.520
<v Speaker 1>the show. Maybe we can talk a little bit more

0:49:25.600 --> 0:49:30.160
<v Speaker 1>about some of these other elements where technology has severely

0:49:30.239 --> 0:49:35.560
<v Speaker 1>outpaced policy. I mean, autonomous cars is easily, that's easily

0:49:35.680 --> 0:49:37.600
<v Speaker 1>one of the top ones to talk about, right Like

0:49:38.239 --> 0:49:40.080
<v Speaker 1>they're and they're not even really out yet, and they're

0:49:40.120 --> 0:49:43.920
<v Speaker 1>already outpacing policy. I mean, it's and and I mean

0:49:44.120 --> 0:49:47.000
<v Speaker 1>I I am very much of the selfish opinion that

0:49:47.960 --> 0:49:50.520
<v Speaker 1>I want autonomous cars here now. I want to be

0:49:50.600 --> 0:49:54.279
<v Speaker 1>able to do right now. But but even then I recognize,

0:49:54.360 --> 0:49:57.680
<v Speaker 1>like it's it's not it's not as easy an answer

0:49:57.760 --> 0:50:00.120
<v Speaker 1>as saying, let's wait till the technology is ready. The

0:50:00.200 --> 0:50:08.319
<v Speaker 1>technology is ready, we've got other things we have to fix. Yeah, yeah, yeah, absolutely, Well, happy,

0:50:08.480 --> 0:50:10.759
<v Speaker 1>happy to talk to you any time, and thanks so

0:50:10.920 --> 0:50:13.560
<v Speaker 1>much for for having me up. Yeah now, Ben, tell

0:50:13.640 --> 0:50:15.880
<v Speaker 1>tell my listeners where they can find you so that

0:50:16.000 --> 0:50:21.359
<v Speaker 1>they can actually seek out your brilliance apart from this, well,

0:50:22.160 --> 0:50:24.800
<v Speaker 1>I don't know about that, but I'm I'm on Twitter

0:50:24.960 --> 0:50:29.120
<v Speaker 1>at the brock Johnson are our show Codebreakers at Codebreaker

0:50:29.239 --> 0:50:32.920
<v Speaker 1>dot Codes or you can find it on iTunes or

0:50:33.120 --> 0:50:37.279
<v Speaker 1>wherever you get your podcasts. Uh and you know, right

0:50:37.320 --> 0:50:41.279
<v Speaker 1>along tech Stuff and How Stuff Works. We're we're in

0:50:41.320 --> 0:50:44.440
<v Speaker 1>there with you guys, so so you can find us,

0:50:44.560 --> 0:50:47.400
<v Speaker 1>we're there, Thanks so much, and guys listen. If you

0:50:47.520 --> 0:50:50.560
<v Speaker 1>have any suggestions for future episodes of tech Stuff, whether

0:50:50.640 --> 0:50:54.719
<v Speaker 1>it's another guest host, someone I should interview, whether it's

0:50:54.760 --> 0:50:58.880
<v Speaker 1>a company or technology, whatever it may be, write me

0:50:59.440 --> 0:51:02.560
<v Speaker 1>let me know what you think. Text stuff at how

0:51:02.600 --> 0:51:05.239
<v Speaker 1>stuff works dot com. Is that email address. You can

0:51:05.239 --> 0:51:08.560
<v Speaker 1>also drop me a line on Facebook, on Twitter, or

0:51:08.719 --> 0:51:11.880
<v Speaker 1>on Tumblr. We are tech stuff h s W at

0:51:11.960 --> 0:51:14.200
<v Speaker 1>all three of those and I'll talk to you guys

0:51:14.239 --> 0:51:22.600
<v Speaker 1>again really soon for more on this and thousands of

0:51:22.680 --> 0:51:24.919
<v Speaker 1>other topics because a stock works dot com