WEBVTT - TechStuff Classic: The Evils of Data Tracking

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<v Speaker 1>Welcome to tech Stuff, a production from I Heart Radio.

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<v Speaker 1>Hey there, and welcome to tech Stuff. I'm here host

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<v Speaker 1>Jonathan Strickland. I'm an executive producer with I Heart Radio.

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<v Speaker 1>And how the tech are you. It's Friday. It's time

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<v Speaker 1>for a classic episode. This episode is called the Evils

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<v Speaker 1>of Data Tracking and it originally published on December six,

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<v Speaker 1>two thousand fifteen, and Ben Johnson, another podcaster and journalist,

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<v Speaker 1>joined the show for this discussion. Keep in mind, you

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<v Speaker 1>know this was done back in the issues with data

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<v Speaker 1>tracking have only gotten worse since then. It has not

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<v Speaker 1>improved in any stretch except for the various agencies that

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<v Speaker 1>are tracking data, whether those are corporations or governments. So um,

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<v Speaker 1>fun times, but enjoy this classic episode. I got to

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<v Speaker 1>chance to be a guest host on a show you

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<v Speaker 1>host called code Breaker. Yes, And on code Breaker when

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<v Speaker 1>we talked, I made a reference to Shakespeare. Yes. Now

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<v Speaker 1>my question for you is are you ever confused with

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<v Speaker 1>the seventeenth century British playwright Ben Johnson? Oh man, all

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<v Speaker 1>the time opens, all the time embarrassing. Yeah, I know

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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 Runner,

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<v Speaker 1>and I used to have a T shirt that said

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<v Speaker 1>I'm not on steroids, but thanks for asking, which was

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<v Speaker 1>a kind of inside joke among my friends, but it

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<v Speaker 1>was you know, I've never been no, I've never been

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<v Speaker 1>that poetic, I've never been that good at sonnets. So

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<v Speaker 1>usually I'm not not confused. It's really funny because I'm

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<v Speaker 1>in in an upcoming episode of tech Stuff. I'm going

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<v Speaker 1>to have my friend i As actar from c net

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<v Speaker 1>on and his his Twitter handle is at i as,

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<v Speaker 1>so he gets a lot of hip hop and rap questions.

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<v Speaker 1>So yeah, it's like me not so much. I'm okay

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<v Speaker 1>with that. But the reason I have been on today

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<v Speaker 1>is because we're doing something kind of a complimentary episode

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<v Speaker 1>to the Codebreaker episode I was on, which was all

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<v Speaker 1>about data tracking and data mining, and to kind of

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<v Speaker 1>talk about what that is, what it's used for, what

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<v Speaker 1>is the best case scenario, like what why do we

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<v Speaker 1>want it? And what are some really really good reasons

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<v Speaker 1>why we may not want it. Uh, despite the fact

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<v Speaker 1>that at this point it's here to stay. I think

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<v Speaker 1>a spoiler alert, data tracking is not going away, right

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<v Speaker 1>until the sort of posted a post apocalyptic world descents,

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<v Speaker 1>until we're all in um fallout for world or whatever

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<v Speaker 1>it is, or or we reach singularity and we're sharing

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<v Speaker 1>the same consciousness anyway, right, yeah, and then it doesn't

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<v Speaker 1>matter who buys what. There's no such thing as an

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<v Speaker 1>individual at that point. So until then we're stuck with it.

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<v Speaker 1>So data tracking and data mining these are terms that

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<v Speaker 1>kind of relate to another buzz term that you've probably

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<v Speaker 1>heard over and over again, which is big data. Um.

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<v Speaker 1>And the reason why we're even talking about this at

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<v Speaker 1>all is because information has value, but it's hard to

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<v Speaker 1>pin down exactly what the value is because it may

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<v Speaker 1>be very different from one person to another, or between

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<v Speaker 1>the individual whose data it is and some other organization

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<v Speaker 1>or a chain of organizations, and the whole thing gets

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<v Speaker 1>really messy. And uh, yeah, we'll be talking about information

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<v Speaker 1>and information about information like metadata. I mean this it

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<v Speaker 1>becomes a rabbit hole that you can easily get lost

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<v Speaker 1>in as you start to try and unravel everything and

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<v Speaker 1>figure out, Okay, well, what's the heart of this story.

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<v Speaker 1>And to be fair, data treking is something that's been

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<v Speaker 1>going on for ages. It's not new. It's just that

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<v Speaker 1>the Internet and the tools we use today allow us

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<v Speaker 1>to generate, gather, and sift through more information than we've

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<v Speaker 1>ever been able to do before. It's kind of a

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<v Speaker 1>catch all phrase, right, Jonathan. It's it's this kind of

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<v Speaker 1>catch all phrase for for computers in software to build

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<v Speaker 1>a really comprehensive um data profile about you in some ways,

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<v Speaker 1>but it's something that credit card companies and banks and

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<v Speaker 1>advertisers have endeavored to do for decades exactly. I mean,

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<v Speaker 1>and this can be done for very simple, quote unquote

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<v Speaker 1>innocent reasons. Like one of the examples I like to

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<v Speaker 1>say is you might have a shop and you in

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<v Speaker 1>your shop, you sell ice cream, and you pay attention

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<v Speaker 1>to see which flavors of ice cream sell the best,

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<v Speaker 1>and that informs you of which flavors of ice cream

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<v Speaker 1>you need to stock up on. You are tracking the

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<v Speaker 1>data of sales. In this case, you're not necessarily looking

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<v Speaker 1>at individuals. You don't care who it is that buys

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<v Speaker 1>the vanilla, but if everyone's buying vanilla, you want to

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<v Speaker 1>make sure you have more vanilla than the other flavors

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<v Speaker 1>that aren't selling as well. So that's one that's like

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<v Speaker 1>the very simplest version of data tracking there where you

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<v Speaker 1>know you've scrubbed the identity of the individuals. That's not

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<v Speaker 1>even that doesn't even come up. It's not important. But

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<v Speaker 1>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 uses a particular service, and the whole point

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<v Speaker 1>of that is to attempt to get them to buy

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<v Speaker 1>something or to enroll in something. It's it's the goal

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<v Speaker 1>of all advertising. It's to get you to act in

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<v Speaker 1>a certain way. And the idea is that, well, if

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<v Speaker 1>we can narrow the target down to the most likely candidates,

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<v Speaker 1>will get a better return on our efforts. And this

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<v Speaker 1>is theoretically good for the user, right Jonathan. Theoretically it's

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<v Speaker 1>it's sort of like, we want to give you the

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<v Speaker 1>thing that you really want, and we want to give

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<v Speaker 1>it to you in the most efficient way and in

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<v Speaker 1>the most sort of sympatico way with with what you

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<v Speaker 1>are interested in doing already. Um, but it can sort

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<v Speaker 1>of like data tracting to me means so many things, Jonathan, right.

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<v Speaker 1>It means your online browsing behavior, or the things you

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<v Speaker 1>choose to buy, the platforms, the software you use, the

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<v Speaker 1>things you download, your name, age, race, sexual orientation, when

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<v Speaker 1>you're sick, what what you're sick with, your eating habits,

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<v Speaker 1>your television watching habits, your fears, hope streams right when

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<v Speaker 1>you're awake, when you're asleep. I mean, like, we we're

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<v Speaker 1>talking about a world now where where we we want

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<v Speaker 1>these wearables. They can give us real time data feedback

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<v Speaker 1>on how we are doing throughout the day. Maybe you

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<v Speaker 1>are an extreme type a personality and you are trying

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<v Speaker 1>to schedule your day so that when you're hitting those

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<v Speaker 1>peak moments of productivity, that's when you're tackling the most

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<v Speaker 1>important tasks to you, and you're wearing wearables, you're getting

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<v Speaker 1>that feedback and you're understanding all this stuff. That data

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<v Speaker 1>may also be going to other places and there may

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<v Speaker 1>not be any use for it right now. Like right now,

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<v Speaker 1>as you're generating that data, that's fine, no one's looking

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<v Speaker 1>at it. But down the road that might not be

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<v Speaker 1>the case for various reasons, some of which are terrifying.

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<v Speaker 1>But but you know you were talking about the different

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<v Speaker 1>types of data. There are actually three kind of broad

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<v Speaker 1>categories we can classify the data that we are creating

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<v Speaker 1>that that various entities are really interested in. There's there's

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<v Speaker 1>volunteered data, and that's the stuff we share, right that's

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<v Speaker 1>when we go on facebooks exactly, that's my tweets, your tweets,

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<v Speaker 1>your your YouTube's, your facebooks, your Pinterests, it's it's the

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<v Speaker 1>stuff where we are participating in the conversation and generating

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<v Speaker 1>that information. We're not just doing that for the people

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<v Speaker 1>that we are trying to impress, or our friends or

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<v Speaker 1>sometimes our enemies if we want to rub their noses

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<v Speaker 1>and stuff because they think they're so big. But that's

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<v Speaker 1>that's the stuff that we are actively sharing. Then there's

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<v Speaker 1>the observed data. That's the stuff that companies and other

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<v Speaker 1>entities can can figure out about us just by watching

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<v Speaker 1>our behavior. So this would be kind of the stuff

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<v Speaker 1>we buy. The browsing habits we have where we log

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<v Speaker 1>in from. Like, if you are doing most of your

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<v Speaker 1>browsing on a mobile device, you better bet their their

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<v Speaker 1>companies out there that want to know that. They want

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<v Speaker 1>to know that you access stuff on your phone. More

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<v Speaker 1>than you do on a laptop or desktop. That's important information.

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<v Speaker 1>And then there's the inferred data, and that's the stuff

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<v Speaker 1>that companies guests is relevant to you based upon the

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<v Speaker 1>information they gather from the other two types of sources.

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<v Speaker 1>And it's it's this collection that's important. And you know

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<v Speaker 1>I mentioned about value and how value is different for

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<v Speaker 1>different people. So the Telegraph did a survey UH in

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<v Speaker 1>which they asked people what they felt their personal information

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<v Speaker 1>was worth to them personally, like, what is your identity

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<v Speaker 1>worth to you? Uh? Based upon the kind of information

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<v Speaker 1>to get shared around these entities? Can you make a

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<v Speaker 1>ballpark guess? I'll tell you this. It's it's it's less

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<v Speaker 1>than ten thousand dollars, but it's more than five dollars. Man, man,

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<v Speaker 1>I'm gonna go with I'm gonna go with twenty bucks

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<v Speaker 1>or no, no, no no, wait, wait, hundred bucks. You know

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<v Speaker 1>it's probably because we share so much ben that we

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<v Speaker 1>value it so little. But the average person five thousand dollars,

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<v Speaker 1>Oh well, that's good that that makes and that makes

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<v Speaker 1>the average person a lot smarter than me. Well, to

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<v Speaker 1>be fair, it was three thousand, two pounds sterling. But

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<v Speaker 1>I did the conversion fair enough, well done, Yeah and uh.

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<v Speaker 1>And they also mentioned the fact that, um that while

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<v Speaker 1>they were doing this, they they found that there was

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<v Speaker 1>a disparity that that women in the survey tended to

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<v Speaker 1>answer more frequently that their personal information was priceless, that

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<v Speaker 1>there was no price you could put on it, that

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<v Speaker 1>they would feel comfortable selling it okay, and men were

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<v Speaker 1>less likely to do that. They also said an interesting

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<v Speaker 1>data point, if you will, Yeah, I also mentioned that

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<v Speaker 1>older people were less likely to want to sell their

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<v Speaker 1>information than younger people, which kind of young younger people

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<v Speaker 1>are just giving it away. Yeah they are, I mean

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<v Speaker 1>they you know, we're seeing that more and more with

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<v Speaker 1>the the the very cavalier behavior of certain executives like Zuckerberg,

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<v Speaker 1>who have said that privacy is dead. No, privacy is

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<v Speaker 1>no longer a thing. That seems to be kind of

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<v Speaker 1>the message that younger generations have not only absorbed, but

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<v Speaker 1>adopted at least to some extent. Say you and I

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<v Speaker 1>s old kajers. So we claim, yeah, no, if your

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<v Speaker 1>generation X or older, you're like, get your dirty, gruvy

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<v Speaker 1>hands off my personal information, you damn millennial right so

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<v Speaker 1>now here. So that's how much the person values their

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<v Speaker 1>personal information in the thousands of dollars range. Okay, I

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<v Speaker 1>know what you're gonna do next, Right, You're gonna give

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<v Speaker 1>me the average company's value on our data. What's going

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<v Speaker 1>to happen? That is exactly what's gonna happen. So here's

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<v Speaker 1>the deal. Your personal information to a company at best,

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<v Speaker 1>like at its peak for average amount of information. I'm

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<v Speaker 1>not talking about very specialized stuff like if you were

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<v Speaker 1>talking about that wearable example. I was saying earlier that

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<v Speaker 1>would that would be worth more because it's more comprehensive data.

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<v Speaker 1>But you're average stuff like you're the stuff you might

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<v Speaker 1>find on a Facebook profile page. It is worth point

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<v Speaker 1>zero zero five dollars. So half a cent is how

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<v Speaker 1>much your data is work at the peak average is

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<v Speaker 1>closer to point zero zero zero five dollars. To know that, I'm,

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<v Speaker 1>you know, a boring, middle aged white guy who's probably

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<v Speaker 1>going to see the Star Wars movie. Probably, I mean

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<v Speaker 1>I would have paid you for definitely, Okay, I mean

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<v Speaker 1>it's seven days away, dude, It is seven days away

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<v Speaker 1>as we record. That can so so at any rate? Yeah, exactly,

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<v Speaker 1>Like the companies like, that's how much your information is

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<v Speaker 1>worth to them. So to you, it's in the thousands

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<v Speaker 1>of dollars. To them, it doesn't even equal a penny

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<v Speaker 1>for the but in the 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

0:13:52.679 --> 0:13:57.080
<v Speaker 1>companies with like weird names that that that have you know,

0:13:57.160 --> 0:14:00.200
<v Speaker 1>data centers in in in the middle of nowhere, and

0:14:00.320 --> 0:14:02.120
<v Speaker 1>they're really hard to find. And you you know, I

0:14:02.160 --> 0:14:04.880
<v Speaker 1>mean you and I probably both remember the days of

0:14:05.040 --> 0:14:07.920
<v Speaker 1>like do not call me at home, you know, getting

0:14:08.040 --> 0:14:10.840
<v Speaker 1>getting that phone call from marketers the pre do not

0:14:11.040 --> 0:14:14.559
<v Speaker 1>call list days, right, And we don't really have a

0:14:14.679 --> 0:14:17.559
<v Speaker 1>do not call list for data yet. Right. We have

0:14:17.600 --> 0:14:19.480
<v Speaker 1>some tools, but we don't really have that. And I

0:14:19.520 --> 0:14:23.120
<v Speaker 1>feel like we're in this kind of um, I don't

0:14:23.120 --> 0:14:27.600
<v Speaker 1>know gold rush on data exactly. We don't have We

0:14:27.680 --> 0:14:30.880
<v Speaker 1>don't have the power to say here is what you

0:14:30.920 --> 0:14:32.840
<v Speaker 1>can use my data to do, and here is what

0:14:32.960 --> 0:14:36.400
<v Speaker 1>you cannot use my data to do. Uh. You know,

0:14:36.440 --> 0:14:39.920
<v Speaker 1>if you're lucky you will be or if you're very

0:14:40.600 --> 0:14:43.520
<v Speaker 1>um you know, careful and you're and you're paying really

0:14:43.520 --> 0:14:46.360
<v Speaker 1>close attention, then you might use services where you're looking

0:14:46.400 --> 0:14:49.280
<v Speaker 1>at the user agreement and looking to see do they

0:14:49.280 --> 0:14:52.400
<v Speaker 1>have a policy? Do they do they specifically state they

0:14:52.440 --> 0:14:56.160
<v Speaker 1>will not share your information with third parties. Um, you

0:14:56.160 --> 0:14:59.280
<v Speaker 1>know you can find some of those, but honestly, that's

0:14:59.320 --> 0:15:01.520
<v Speaker 1>not the way bus this works. For most of these companies.

0:15:01.600 --> 0:15:05.320
<v Speaker 1>You are the product, right, like like Google when the

0:15:05.400 --> 0:15:09.880
<v Speaker 1>service is free. Yep, you're the one product. That's that's

0:15:09.880 --> 0:15:14.960
<v Speaker 1>what Google, your Google's product, your Facebook product, you are

0:15:15.000 --> 0:15:20.280
<v Speaker 1>what they are selling to other other interested parties. And uh,

0:15:20.480 --> 0:15:23.160
<v Speaker 1>even if you look at ones that say that, oh,

0:15:23.200 --> 0:15:27.200
<v Speaker 1>don't worry, we scrub all the identifiable stuff from your day.

0:15:27.200 --> 0:15:30.720
<v Speaker 1>Animize your data if you will. Yeah, that, Um, that

0:15:30.880 --> 0:15:35.680
<v Speaker 1>don't work so good, Ben, it doesn't work very good.

0:15:36.000 --> 0:15:38.440
<v Speaker 1>There have been studies about this in the last few years, right,

0:15:38.480 --> 0:15:39.840
<v Speaker 1>I think there was a study that came out of

0:15:39.880 --> 0:15:43.720
<v Speaker 1>the UK that suggested, um that really in order to

0:15:43.840 --> 0:15:48.600
<v Speaker 1>identify a person, um, you really only needed like one

0:15:48.720 --> 0:15:51.320
<v Speaker 1>or two pieces of information about them. Right. Do you

0:15:51.360 --> 0:15:53.080
<v Speaker 1>remember that study that came out in the last I

0:15:53.120 --> 0:15:55.240
<v Speaker 1>don't know year or so. It was like, I remember

0:15:55.320 --> 0:15:59.240
<v Speaker 1>that one. And there's one that Latania Sweeney Harvard she

0:15:59.360 --> 0:16:03.080
<v Speaker 1>did one or she proved that with three points of data,

0:16:03.280 --> 0:16:07.280
<v Speaker 1>which was gender, birth date, and ZIP code, she could

0:16:07.320 --> 0:16:14.520
<v Speaker 1>identify of US residents. So so nearly of all people

0:16:14.560 --> 0:16:16.920
<v Speaker 1>living in the United States she could identify just with

0:16:16.960 --> 0:16:20.760
<v Speaker 1>those three pieces of information. That One of the things

0:16:20.800 --> 0:16:22.960
<v Speaker 1>I like to stress to people is your name, which

0:16:23.000 --> 0:16:25.000
<v Speaker 1>you try to protect when you are when you think

0:16:25.000 --> 0:16:27.960
<v Speaker 1>you're being anonymous on the Internet and you use a handle,

0:16:28.440 --> 0:16:30.160
<v Speaker 1>so you're not using your name like I use my

0:16:30.280 --> 0:16:34.200
<v Speaker 1>name everywhere as my handle. That's just but most of

0:16:34.200 --> 0:16:35.960
<v Speaker 1>the time, but a lot of people like, no, I'm

0:16:35.960 --> 0:16:38.400
<v Speaker 1>going to use an anonymous handle. Your name is the

0:16:38.480 --> 0:16:42.080
<v Speaker 1>least important thing about you. I hate to break it

0:16:42.120 --> 0:16:46.280
<v Speaker 1>to you that because honestly, most of these companies don't care.

0:16:46.720 --> 0:16:48.480
<v Speaker 1>Just like I was saying, the shop owner with the

0:16:48.520 --> 0:16:51.160
<v Speaker 1>ice cream doesn't care who you are. Most of these

0:16:51.200 --> 0:16:53.880
<v Speaker 1>companies don't really care who you are. They care about

0:16:53.920 --> 0:16:59.680
<v Speaker 1>what you do. Yeah, and it's really interesting too, Like Google,

0:16:59.720 --> 0:17:03.960
<v Speaker 1>for instance, leverages large amounts of money and even some

0:17:04.040 --> 0:17:06.879
<v Speaker 1>of their best algorithmic computing power to make sure that

0:17:07.000 --> 0:17:11.760
<v Speaker 1>advertisers and marketers, for instance, don't engage in dishonest practices

0:17:12.080 --> 0:17:16.840
<v Speaker 1>or break Google's own rules about tracking data. And even

0:17:16.880 --> 0:17:20.040
<v Speaker 1>for Google, this is becoming like a herculean task. We

0:17:20.160 --> 0:17:23.520
<v Speaker 1>I talked to in for Cobreaker, I talked to some

0:17:23.640 --> 0:17:29.119
<v Speaker 1>people at Columbia's, some Columbia grad students who are studying this,

0:17:29.640 --> 0:17:33.520
<v Speaker 1>and it's really interesting to see what gets pulled from

0:17:33.560 --> 0:17:38.040
<v Speaker 1>even like emails that you might send in Gmail, for instance. Yeah, yeah,

0:17:38.080 --> 0:17:41.879
<v Speaker 1>this is this is kind of um, kind of terrifying.

0:17:42.000 --> 0:17:44.320
<v Speaker 1>Also if you if you think about because you think

0:17:44.320 --> 0:17:47.879
<v Speaker 1>of email as being this this uh, private means of

0:17:47.920 --> 0:17:50.800
<v Speaker 1>communication that you know, just as you wouldn't expect someone

0:17:50.840 --> 0:17:54.639
<v Speaker 1>else to read your snail mail. That would be a

0:17:54.720 --> 0:17:58.479
<v Speaker 1>violation of trust to find out that stuff is popping

0:17:58.560 --> 0:18:00.360
<v Speaker 1>up based on things that you've typed. Like if you've

0:18:00.359 --> 0:18:03.800
<v Speaker 1>written an email recently and then something that is related

0:18:03.800 --> 0:18:06.479
<v Speaker 1>to that email starts seemingly to pop up in places

0:18:06.520 --> 0:18:09.120
<v Speaker 1>you weren't expecting, you might think at first that that's

0:18:09.119 --> 0:18:12.360
<v Speaker 1>a weird coincidence. But if this happens a few times, like, Okay,

0:18:12.400 --> 0:18:16.560
<v Speaker 1>this is not a coincidence. What is going on? Yeah,

0:18:16.720 --> 0:18:19.840
<v Speaker 1>it's really interesting. And I think that's something, Jonathan, that

0:18:20.000 --> 0:18:23.280
<v Speaker 1>so many people can relate to, right, this idea of like,

0:18:23.680 --> 0:18:27.160
<v Speaker 1>oh I looked at those shoes once, or I looked

0:18:27.200 --> 0:18:31.080
<v Speaker 1>at uh, you know, whatever, the whatever item that you

0:18:31.119 --> 0:18:36.600
<v Speaker 1>might buy online once and that advertisement follows you around forever. Right, Yeah,

0:18:36.640 --> 0:18:39.720
<v Speaker 1>you had that great moment and codebreaker in fact, about

0:18:40.040 --> 0:18:46.880
<v Speaker 1>the sandals. Yes, the sandals that followed Molly around. Every

0:18:46.880 --> 0:18:49.840
<v Speaker 1>time I logged into Facebook for a straight week, they

0:18:49.840 --> 0:18:52.159
<v Speaker 1>would pop up. And I was so scared because I

0:18:52.200 --> 0:18:54.200
<v Speaker 1>was like, oh my god, I'm gonna be sitting next

0:18:54.240 --> 0:18:56.119
<v Speaker 1>to my boyfriend and I'm gonna log onto Facebook and

0:18:56.160 --> 0:18:58.600
<v Speaker 1>these sandals are gonna come up, and it's gonna reopen

0:18:58.640 --> 0:19:00.639
<v Speaker 1>the wound. And he's gonna know that I was sending

0:19:00.680 --> 0:19:04.679
<v Speaker 1>them to people asking for an opinion. Did you change

0:19:04.680 --> 0:19:07.720
<v Speaker 1>your behavior when you were hanging out with him? Yeah,

0:19:07.760 --> 0:19:11.280
<v Speaker 1>Like if we were loafing around, I would open so

0:19:11.320 --> 0:19:16.760
<v Speaker 1>many tabs and none of them would be Facebook. This

0:19:16.800 --> 0:19:18.480
<v Speaker 1>is a really funny story. What does it make you

0:19:18.520 --> 0:19:22.280
<v Speaker 1>think about? It made me wish that I could go

0:19:22.320 --> 0:19:25.760
<v Speaker 1>back to the days where Facebook was just showing me

0:19:25.920 --> 0:19:28.520
<v Speaker 1>things that I wanted to buy and not things that

0:19:28.600 --> 0:19:32.240
<v Speaker 1>I wanted to run away from. That's that's such a

0:19:32.359 --> 0:19:35.080
<v Speaker 1>I mean, I've seen the same sort of stuff, and

0:19:35.160 --> 0:19:39.480
<v Speaker 1>I've seen advertisements that it's odd, like things that do

0:19:39.560 --> 0:19:42.760
<v Speaker 1>not interest me at all. They're just completely off base

0:19:43.359 --> 0:19:45.760
<v Speaker 1>and I can't It's one of those things where I think, well,

0:19:45.760 --> 0:19:48.800
<v Speaker 1>maybe now, it's just that the system hasn't gathered enough

0:19:48.840 --> 0:19:52.280
<v Speaker 1>information about me to get a good feel, right, so

0:19:52.359 --> 0:19:55.400
<v Speaker 1>I'm seeing stuff. It's like, this is the shotgun approach.

0:19:55.440 --> 0:19:59.000
<v Speaker 1>I'm throwing everything I can and hopefully stuff will work.

0:20:00.000 --> 0:20:01.840
<v Speaker 1>We'll be back to talk more about the evils of

0:20:01.880 --> 0:20:15.000
<v Speaker 1>data tracking after these messages. Systems like Facebook, for example,

0:20:15.040 --> 0:20:18.280
<v Speaker 1>where you can actually go in to an ad and

0:20:18.359 --> 0:20:23.120
<v Speaker 1>say I am not interested in this, you know, then

0:20:23.200 --> 0:20:25.800
<v Speaker 1>maybe you'll end up getting a different selection of stuff,

0:20:25.840 --> 0:20:29.239
<v Speaker 1>but sometimes you'll just get different versions of the same thing.

0:20:29.280 --> 0:20:33.040
<v Speaker 1>You already said, that's not that's not me man. I

0:20:34.080 --> 0:20:37.040
<v Speaker 1>appreciate the muscles on this dude, but I Am not

0:20:37.119 --> 0:20:39.920
<v Speaker 1>going to be that guy. So I'm into I'm into

0:20:40.000 --> 0:20:42.800
<v Speaker 1>my little pony. But I I think I've outgrown it.

0:20:43.040 --> 0:20:48.040
<v Speaker 1>I look my collection, My collection can only be so complete.

0:20:48.280 --> 0:20:50.880
<v Speaker 1>That's you know, there's you gotta draw the line after

0:20:50.960 --> 0:20:54.560
<v Speaker 1>like series five, I gotta say I'm done. I have

0:20:54.640 --> 0:20:57.719
<v Speaker 1>no more shelf space. Um yeah, this is this is

0:20:57.800 --> 0:21:03.680
<v Speaker 1>one of those those amazing stories, like the story about

0:21:03.720 --> 0:21:06.480
<v Speaker 1>the sandals. Just just one of those things that has

0:21:06.520 --> 0:21:09.840
<v Speaker 1>happened to pretty much anyone who has been active online

0:21:09.840 --> 0:21:12.720
<v Speaker 1>over the last couple of years. And it's probably one

0:21:12.760 --> 0:21:15.439
<v Speaker 1>of those stories I would imagine that people start to share,

0:21:16.200 --> 0:21:21.760
<v Speaker 1>not realizing that this is something that other people have experienced. Yeah, yeah, right,

0:21:22.000 --> 0:21:24.560
<v Speaker 1>it is. It feels like a very personal experience, but

0:21:24.600 --> 0:21:27.240
<v Speaker 1>it's something that seems to happen to everyone, and it

0:21:27.280 --> 0:21:31.800
<v Speaker 1>was interesting to see. Relatively recently, Facebook, I believe um

0:21:32.040 --> 0:21:37.240
<v Speaker 1>made it easier for people to control how much of

0:21:37.320 --> 0:21:42.840
<v Speaker 1>their ex girlfriend or boyfriend or significant others information surfaced

0:21:42.880 --> 0:21:46.480
<v Speaker 1>on their own timeline. Did you see that story that

0:21:46.560 --> 0:21:50.360
<v Speaker 1>came out relatively recently. He was interesting this idea that like,

0:21:50.720 --> 0:21:53.280
<v Speaker 1>you know, you know, even the tech companies they're really

0:21:53.720 --> 0:21:57.680
<v Speaker 1>really good at data tracking at this point, are still

0:21:57.720 --> 0:22:01.440
<v Speaker 1>trying to figure out when it goes wrong and how

0:22:01.560 --> 0:22:06.240
<v Speaker 1>to help the user in some cases, um make it

0:22:06.280 --> 0:22:10.960
<v Speaker 1>a more kind of custom experience, right. And and we

0:22:10.960 --> 0:22:15.160
<v Speaker 1>should also stress that that the overwhelming majority of companies

0:22:15.160 --> 0:22:18.560
<v Speaker 1>out there do not want it to go wrong, because

0:22:18.560 --> 0:22:22.199
<v Speaker 1>that's that's counterproductive to what the end end goal is,

0:22:22.240 --> 0:22:25.680
<v Speaker 1>at least for the person that actually bought the advertisement

0:22:25.760 --> 0:22:29.200
<v Speaker 1>and the person who owns the place where that ad

0:22:29.280 --> 0:22:32.240
<v Speaker 1>is being shown in the case of targeted advertising, at

0:22:32.320 --> 0:22:35.280
<v Speaker 1>least like they don't want that to go badly. But

0:22:35.320 --> 0:22:36.800
<v Speaker 1>in other cases, you know, they don't want to go

0:22:36.840 --> 0:22:41.520
<v Speaker 1>badly either, that that's counterproductive. But it is possible for

0:22:41.560 --> 0:22:44.800
<v Speaker 1>this to go wrong even if everyone is trying to

0:22:45.880 --> 0:22:50.720
<v Speaker 1>use it to to people's benefit. And on Codebreaker, you

0:22:50.840 --> 0:22:55.879
<v Speaker 1>had a heartbreaking story about about a father who shared

0:22:55.960 --> 0:22:59.480
<v Speaker 1>some information not not knowing, not even realizing that that

0:22:59.560 --> 0:23:01.919
<v Speaker 1>information was somehow going to make its way into a

0:23:02.000 --> 0:23:05.760
<v Speaker 1>database and then came back to haunt him. Yeah, this

0:23:05.800 --> 0:23:09.360
<v Speaker 1>guy Mike Say, and and this is happened a few

0:23:09.440 --> 0:23:14.920
<v Speaker 1>years back. He you know, unfortunately, um, his his one

0:23:14.920 --> 0:23:17.760
<v Speaker 1>of his children, his daughter died in a car accident.

0:23:18.040 --> 0:23:22.480
<v Speaker 1>And he went to buy some uh you know, he

0:23:22.520 --> 0:23:27.080
<v Speaker 1>went to buy some some actually some some um some

0:23:27.119 --> 0:23:30.480
<v Speaker 1>stuff for photos, like he was putting together some photo albums,

0:23:30.520 --> 0:23:33.080
<v Speaker 1>and he went to buy some frames for those photos.

0:23:33.680 --> 0:23:37.360
<v Speaker 1>And the place that he called to do that, um,

0:23:37.720 --> 0:23:42.080
<v Speaker 1>he just in passing mentioned uh that his daughter had

0:23:42.119 --> 0:23:44.199
<v Speaker 1>died in this car accident. And the person that he

0:23:44.280 --> 0:23:48.760
<v Speaker 1>was talking to actually took down that information. And it's

0:23:48.800 --> 0:23:53.000
<v Speaker 1>still not clear how it how all of this happened,

0:23:53.080 --> 0:23:57.520
<v Speaker 1>but apparently they took down the information and that information

0:23:57.640 --> 0:24:00.359
<v Speaker 1>ended up getting sold to a data broker that's sold

0:24:00.359 --> 0:24:04.440
<v Speaker 1>the information from the company he originally called to Office Max,

0:24:04.880 --> 0:24:10.679
<v Speaker 1>and then Office Max sent a letter to him. Um

0:24:10.840 --> 0:24:16.080
<v Speaker 1>there was addressed to owner of the house or Mike

0:24:16.200 --> 0:24:20.840
<v Speaker 1>Say daughter died in a car accident. Um. And that's

0:24:20.840 --> 0:24:25.800
<v Speaker 1>when it goes really really wrong, right. The picture frames

0:24:25.840 --> 0:24:28.600
<v Speaker 1>that was was buying with through my children. In the

0:24:28.640 --> 0:24:32.760
<v Speaker 1>bottom it had Ashley's name and her birth and death

0:24:32.840 --> 0:24:35.359
<v Speaker 1>date and that she loved them, and you know what

0:24:35.440 --> 0:24:39.480
<v Speaker 1>I mean, that's how she the conversation came about that

0:24:39.600 --> 0:24:43.560
<v Speaker 1>what is this for? And she took you know, the

0:24:43.600 --> 0:24:47.600
<v Speaker 1>information that would go on the bottom and put that,

0:24:47.640 --> 0:24:49.679
<v Speaker 1>you know, on whatever to get it stamp. But they

0:24:49.680 --> 0:24:52.600
<v Speaker 1>had nothing to it. Didn't say killed in car crashing

0:24:52.640 --> 0:24:56.439
<v Speaker 1>out of that. That was all in her own. And

0:24:56.480 --> 0:24:59.199
<v Speaker 1>this is a totally separate company from Office Max. And

0:24:59.320 --> 0:25:03.399
<v Speaker 1>somehow Office Max got the information. They bought the information

0:25:03.480 --> 0:25:09.480
<v Speaker 1>from a data group, so that information was sold from

0:25:09.600 --> 0:25:14.119
<v Speaker 1>things remembered to a data group that collects data and

0:25:14.119 --> 0:25:19.879
<v Speaker 1>then taken and sold to Office Max in an Office

0:25:19.880 --> 0:25:23.800
<v Speaker 1>Max used without looking at it. What an an emotional

0:25:25.240 --> 0:25:29.360
<v Speaker 1>uh punch to the gut to see something like that.

0:25:30.080 --> 0:25:33.880
<v Speaker 1>And and honestly, you know, I mean, you know, Office

0:25:33.920 --> 0:25:38.440
<v Speaker 1>Max did not intend that. There's no sane reason anyone

0:25:38.520 --> 0:25:43.360
<v Speaker 1>would do that. So it's clearly an epic mistake that

0:25:43.359 --> 0:25:47.680
<v Speaker 1>that could result in true emotional trauma, even if it's

0:25:47.720 --> 0:25:50.399
<v Speaker 1>just a momentary thing. You don't want any person to

0:25:50.520 --> 0:25:54.840
<v Speaker 1>experience that kind of thing. And uh, it was a

0:25:54.880 --> 0:25:59.280
<v Speaker 1>pure accident, I imagine based upon way back in the day,

0:25:59.280 --> 0:26:01.879
<v Speaker 1>I used to work for consultants and when when I

0:26:01.880 --> 0:26:04.119
<v Speaker 1>worked for consultants, one of the things I had to

0:26:04.119 --> 0:26:09.560
<v Speaker 1>do was arranged giant mailing lists and print out tons

0:26:09.600 --> 0:26:12.920
<v Speaker 1>and tons and tons of mailing labels. And so you're

0:26:12.920 --> 0:26:17.119
<v Speaker 1>you're working with these big spreadsheets there possibly thousands of

0:26:17.280 --> 0:26:21.520
<v Speaker 1>names long. So I'm guessing what happened was you had

0:26:21.520 --> 0:26:25.880
<v Speaker 1>the data entered into some sort of spreadsheet, and probably

0:26:25.920 --> 0:26:29.480
<v Speaker 1>the spreadsheet was converted at least once, and in that conversion,

0:26:29.880 --> 0:26:33.040
<v Speaker 1>a tab that had been or you know, a cell

0:26:33.080 --> 0:26:37.400
<v Speaker 1>that had just been labeled miscellaneous got put into address

0:26:37.440 --> 0:26:41.280
<v Speaker 1>instead of miscellanys or title or something along those lines.

0:26:41.960 --> 0:26:45.919
<v Speaker 1>And that's when it went from one point where it

0:26:46.000 --> 0:26:49.800
<v Speaker 1>was a piece of data, which, as as Mike said,

0:26:49.960 --> 0:26:52.520
<v Speaker 1>like why do people even need to know this? No

0:26:52.560 --> 0:26:54.600
<v Speaker 1>one needs to know this. This is this is not

0:26:54.720 --> 0:26:57.400
<v Speaker 1>a relevant piece of information. It should never have gone

0:26:57.440 --> 0:27:00.960
<v Speaker 1>into a database. But for that to then accidentally get

0:27:00.960 --> 0:27:04.400
<v Speaker 1>transposed into a cell that is going to show up

0:27:04.440 --> 0:27:11.400
<v Speaker 1>on a mailing label is incredibly it feels incredibly callous, yeah,

0:27:11.400 --> 0:27:14.879
<v Speaker 1>and invasive. And it also, you know, it reminds you that,

0:27:16.840 --> 0:27:18.679
<v Speaker 1>I mean, it reminds us all that the way we

0:27:18.760 --> 0:27:23.160
<v Speaker 1>view ourselves isn't always the way we're viewed by the world, right,

0:27:23.880 --> 0:27:27.280
<v Speaker 1>and and and and that's an interesting aspect of this too,

0:27:27.440 --> 0:27:34.000
<v Speaker 1>This idea that basically a data profile of most users

0:27:34.040 --> 0:27:37.080
<v Speaker 1>on the Internet is being slowly put together over time,

0:27:37.440 --> 0:27:41.679
<v Speaker 1>and and you might be we all might be really

0:27:41.760 --> 0:27:47.400
<v Speaker 1>curious to know, um or disappointed to know um, what

0:27:47.480 --> 0:27:50.639
<v Speaker 1>that data profile looks like from the other side. Now,

0:27:51.160 --> 0:27:53.399
<v Speaker 1>then let me ask you this. I'm going to paint

0:27:53.440 --> 0:27:58.359
<v Speaker 1>a picture for you of a dystopia. Okay, that's that's

0:27:58.400 --> 0:28:03.280
<v Speaker 1>sadly not difficult to imagine based on our current events.

0:28:03.280 --> 0:28:06.199
<v Speaker 1>All Right, so I'm sure you heard. I mean, I'm

0:28:06.240 --> 0:28:09.800
<v Speaker 1>absolutely certain you heard about the app people p E

0:28:09.800 --> 0:28:13.280
<v Speaker 1>E p l E. Right, Yes, this was the one

0:28:13.320 --> 0:28:16.200
<v Speaker 1>that was supposed to be the yelp for people where

0:28:16.240 --> 0:28:21.080
<v Speaker 1>you would be able to rate other human beings and

0:28:21.160 --> 0:28:23.520
<v Speaker 1>so then other human beings could see your rating and

0:28:23.560 --> 0:28:26.240
<v Speaker 1>could see ratings of other people. And it just seemed

0:28:26.280 --> 0:28:30.200
<v Speaker 1>like it was going to lead to fallout. For that's

0:28:30.200 --> 0:28:33.439
<v Speaker 1>what literally an idea, an idea whose time should have

0:28:33.480 --> 0:28:37.320
<v Speaker 1>never come exactly. Now, let's take that same basic concept,

0:28:37.400 --> 0:28:40.960
<v Speaker 1>but instead of you rating people, imagine that you get

0:28:41.000 --> 0:28:45.000
<v Speaker 1>to look up what that person's data profile is worth

0:28:45.400 --> 0:28:50.520
<v Speaker 1>compared to your own because guess what you could do

0:28:50.600 --> 0:28:54.360
<v Speaker 1>that you could build something where you start to look

0:28:54.400 --> 0:28:58.120
<v Speaker 1>at the the robustness of a data profile, at least

0:28:58.160 --> 0:29:02.280
<v Speaker 1>for a certain give and set of transactions. Because keep

0:29:02.280 --> 0:29:04.400
<v Speaker 1>in mind, there are a lot of data brokers out there,

0:29:04.720 --> 0:29:07.360
<v Speaker 1>and your profile in one data broker's database may be

0:29:07.520 --> 0:29:10.840
<v Speaker 1>very different from another because it may be less or

0:29:10.880 --> 0:29:15.920
<v Speaker 1>more complete or from totally different sources than the other one.

0:29:16.160 --> 0:29:19.800
<v Speaker 1>But that would be a weird world where you say, wow,

0:29:20.760 --> 0:29:25.720
<v Speaker 1>my life is worth this much to a potential marketer,

0:29:26.200 --> 0:29:29.600
<v Speaker 1>and my friends life is worth twice as much. What

0:29:29.720 --> 0:29:32.440
<v Speaker 1>am I doing wrong in my life where I'm worth less?

0:29:32.520 --> 0:29:37.960
<v Speaker 1>I mean, it's this isies are looking at us. Yeah,

0:29:38.040 --> 0:29:40.000
<v Speaker 1>and it is scary. I mean, I think it's also

0:29:40.040 --> 0:29:42.520
<v Speaker 1>fair to say that this is as scary as it

0:29:42.600 --> 0:29:45.440
<v Speaker 1>is to imagine that it is. It does also have

0:29:45.520 --> 0:29:47.760
<v Speaker 1>some connection to reality. I mean, when you go into

0:29:47.840 --> 0:29:51.640
<v Speaker 1>a bank and apply for a loan um, you're also

0:29:51.760 --> 0:29:57.680
<v Speaker 1>being sort of sized up right and over time, Um,

0:29:57.720 --> 0:29:59.960
<v Speaker 1>you know, we've we've we've seen some actually some really

0:30:00.000 --> 0:30:04.640
<v Speaker 1>of big problems arise from how banks look at people

0:30:04.920 --> 0:30:07.680
<v Speaker 1>and look at people's ability to pay things back. And

0:30:07.680 --> 0:30:10.200
<v Speaker 1>how credit card companies do this, how your net worth

0:30:10.280 --> 0:30:13.960
<v Speaker 1>is calculated, how you're um, you know, your your likelihood

0:30:13.960 --> 0:30:17.280
<v Speaker 1>of paying a loan back is calculated. And but at

0:30:17.280 --> 0:30:20.920
<v Speaker 1>the same time, over time, there have been some safeguards

0:30:20.960 --> 0:30:25.000
<v Speaker 1>put in against discrimination, right, and a lot of people

0:30:25.040 --> 0:30:28.000
<v Speaker 1>have actually talked about this idea of data discrimination over

0:30:28.040 --> 0:30:32.240
<v Speaker 1>time and how um we really need to think about

0:30:32.360 --> 0:30:34.760
<v Speaker 1>as we go forward and as more and more data

0:30:34.760 --> 0:30:37.760
<v Speaker 1>gets collected on on on users over time. I mean,

0:30:37.840 --> 0:30:40.600
<v Speaker 1>people that were born you know, in the last ten

0:30:40.680 --> 0:30:43.440
<v Speaker 1>years are going to have a very different life on

0:30:43.480 --> 0:30:46.080
<v Speaker 1>the internet than even you or I have had, right,

0:30:46.120 --> 0:30:48.320
<v Speaker 1>I mean I wasn't on the internet until I was

0:30:48.760 --> 0:30:51.959
<v Speaker 1>a teenager. So it's interesting to think about it. And

0:30:51.960 --> 0:30:54.800
<v Speaker 1>it's also you know, you would you would hope some

0:30:54.840 --> 0:30:58.880
<v Speaker 1>people are talking about this idea of like, you know,

0:30:59.120 --> 0:31:04.800
<v Speaker 1>if you all are perceived to be a a person

0:31:04.840 --> 0:31:09.960
<v Speaker 1>of a certain race, a certain education level, tax bracket

0:31:10.080 --> 0:31:14.680
<v Speaker 1>like that the tax bracket, then you might actually see

0:31:15.560 --> 0:31:19.800
<v Speaker 1>a web that is different from the web that someone

0:31:19.880 --> 0:31:23.480
<v Speaker 1>else with a different perceived data profile would see. Yeah,

0:31:23.480 --> 0:31:26.360
<v Speaker 1>this is this is like a dark twisted version of

0:31:26.400 --> 0:31:30.640
<v Speaker 1>what the semantic web is supposed to be. The semantic

0:31:30.640 --> 0:31:34.600
<v Speaker 1>web is supposed to learn about you and then respond

0:31:34.680 --> 0:31:37.040
<v Speaker 1>to what you want, so that you don't have to

0:31:37.680 --> 0:31:41.040
<v Speaker 1>play the game of the web search or the web browser.

0:31:41.400 --> 0:31:43.840
<v Speaker 1>You just say what you want and it returns exactly

0:31:43.840 --> 0:31:47.200
<v Speaker 1>what you want, possibly from multiple sources, so you're not

0:31:47.240 --> 0:31:50.360
<v Speaker 1>even going to a web page in the semantic web necessarily.

0:31:50.400 --> 0:31:53.600
<v Speaker 1>It may be that it's pulling things from various sources

0:31:53.680 --> 0:31:57.160
<v Speaker 1>and presenting you kind of a united view. That's one

0:31:57.280 --> 0:32:00.760
<v Speaker 1>realization of what those semantic web would look like. This

0:32:00.760 --> 0:32:03.760
<v Speaker 1>this is similar to that, but a very dark version

0:32:03.840 --> 0:32:07.800
<v Speaker 1>where it's not responding to what you want, it's responding

0:32:07.840 --> 0:32:11.360
<v Speaker 1>to what the other side wants based upon what they

0:32:11.400 --> 0:32:14.400
<v Speaker 1>think they can get out of you. Yeah, and that's

0:32:14.400 --> 0:32:18.400
<v Speaker 1>a really scary thing. I mean, there's also some potential

0:32:18.480 --> 0:32:21.920
<v Speaker 1>good from that can come from this, right, Um, And

0:32:21.920 --> 0:32:25.320
<v Speaker 1>and you know, other people are talking about this idea

0:32:25.440 --> 0:32:30.560
<v Speaker 1>of you know, a time at which maybe people actually

0:32:30.600 --> 0:32:34.080
<v Speaker 1>start to you know, big data is more valuable. Big data,

0:32:34.560 --> 0:32:37.080
<v Speaker 1>you know, it's all perceived to be more valuable to

0:32:37.280 --> 0:32:41.240
<v Speaker 1>companies and marketers and and and and certain organizations in

0:32:41.280 --> 0:32:45.200
<v Speaker 1>the aggregate. Right, So what if we actually reached a

0:32:45.320 --> 0:32:49.800
<v Speaker 1>time where, um, not. I won't say like data gets

0:32:49.920 --> 0:32:53.680
<v Speaker 1>unionized necessarily, but like, what if you reach the time

0:32:53.760 --> 0:33:00.080
<v Speaker 1>where users actually banded together and did collective bargating on

0:33:00.160 --> 0:33:04.200
<v Speaker 1>behalf of their data in order to say, hey, Okay,

0:33:04.240 --> 0:33:09.320
<v Speaker 1>my data maybe only half of a penny value, but

0:33:09.880 --> 0:33:12.320
<v Speaker 1>when I get together with this large group of other

0:33:12.480 --> 0:33:16.320
<v Speaker 1>users that i'm that I'm aligned with, it's actually worth

0:33:16.360 --> 0:33:19.640
<v Speaker 1>a lot more. And I want to align myself with

0:33:19.680 --> 0:33:23.920
<v Speaker 1>this large group and then sell that um and actually

0:33:24.160 --> 0:33:27.520
<v Speaker 1>gain some agency in that way and gain maybe some

0:33:27.520 --> 0:33:31.040
<v Speaker 1>some money. You're you're like creating a brand new career

0:33:31.400 --> 0:33:37.800
<v Speaker 1>a data agent, like agent. Yeah, agent, they're like Dave

0:33:37.880 --> 0:33:42.520
<v Speaker 1>Walkers really wouldn't if you want to go the vampire route, Yeah,

0:33:42.560 --> 0:33:46.960
<v Speaker 1>that's that. That's I I honestly had never considered that,

0:33:47.000 --> 0:33:50.120
<v Speaker 1>but that is a really compelling idea, especially when you

0:33:50.160 --> 0:33:52.520
<v Speaker 1>think even if you go on a route where you're like,

0:33:52.560 --> 0:33:54.520
<v Speaker 1>all right, we're not doing this to make money, We're

0:33:54.520 --> 0:33:57.440
<v Speaker 1>doing this so that we're only opting into the things

0:33:57.760 --> 0:34:01.680
<v Speaker 1>that we agree with that we find acceptable. One of

0:34:01.680 --> 0:34:04.080
<v Speaker 1>the other things about data tracking that I think is

0:34:05.280 --> 0:34:11.240
<v Speaker 1>problematic is that sure, uh, you might be getting stuff

0:34:11.320 --> 0:34:14.560
<v Speaker 1>that's reacting to your behavior but a lot of that

0:34:14.640 --> 0:34:17.440
<v Speaker 1>is going to be based on guesswork. So for example,

0:34:17.520 --> 0:34:21.120
<v Speaker 1>if I have posted a lot about hiking, it maybe

0:34:21.400 --> 0:34:25.400
<v Speaker 1>that I get a lot of advertisements for outdoor supply

0:34:25.520 --> 0:34:28.040
<v Speaker 1>stores like camping gear, that kind of stuff. And it

0:34:28.120 --> 0:34:30.960
<v Speaker 1>may be that that doesn't fully overlap with my interests.

0:34:31.000 --> 0:34:34.439
<v Speaker 1>That's not terrible or whatever, but it also could mean

0:34:34.600 --> 0:34:39.040
<v Speaker 1>that I start to have a narrower selection of things

0:34:39.080 --> 0:34:41.440
<v Speaker 1>presented to me, which in one way is good, but

0:34:41.480 --> 0:34:48.720
<v Speaker 1>it also means it takes away the possibility of discovery. Yeah,

0:34:48.760 --> 0:34:52.360
<v Speaker 1>this is a huge I mean, this is a really

0:34:52.560 --> 0:34:55.319
<v Speaker 1>interesting idea and a really interesting topic, right. I mean,

0:34:55.800 --> 0:34:59.320
<v Speaker 1>Amazon is is kind of thinking about, I think trying

0:34:59.320 --> 0:35:01.560
<v Speaker 1>to do this. I mean, there there are companies that

0:35:01.600 --> 0:35:03.840
<v Speaker 1>would would love to be able to basically when you

0:35:03.920 --> 0:35:07.040
<v Speaker 1>go to their homepage they basically say, or not that

0:35:07.080 --> 0:35:09.400
<v Speaker 1>we would ever necessarily do that in the future, but

0:35:09.920 --> 0:35:13.359
<v Speaker 1>you you, whatever, you you engage with their platform, they

0:35:13.400 --> 0:35:20.160
<v Speaker 1>would say, here's the three products you can choose from today. Yeah, right, right,

0:35:20.680 --> 0:35:25.400
<v Speaker 1>And that does, as you say, really reduce this idea

0:35:25.400 --> 0:35:27.759
<v Speaker 1>of discovery. And this is you know, this happens in

0:35:27.800 --> 0:35:31.200
<v Speaker 1>the media world to write this idea of like UM

0:35:31.280 --> 0:35:35.279
<v Speaker 1>and in the social media world, this idea of UM

0:35:35.320 --> 0:35:39.880
<v Speaker 1>being able to curate so in such a you know,

0:35:39.960 --> 0:35:44.200
<v Speaker 1>a focused way to the individual user also makes it

0:35:44.320 --> 0:35:48.120
<v Speaker 1>so that user doesn't I don't know, read the New

0:35:48.200 --> 0:35:52.800
<v Speaker 1>York Times and learn anything about what goes on outside

0:35:52.840 --> 0:35:55.279
<v Speaker 1>of their own interest. Here it becomes it becomes like

0:35:55.320 --> 0:36:00.000
<v Speaker 1>the ultimate echo chamber, where where you know you're you're

0:36:00.440 --> 0:36:03.680
<v Speaker 1>you're stuck there seeing the same stuff and maybe you

0:36:03.719 --> 0:36:06.879
<v Speaker 1>don't even realize that we're we're heading to like this

0:36:06.920 --> 0:36:09.440
<v Speaker 1>is almost a Terry Gilliam film what we're describing at

0:36:09.440 --> 0:36:13.960
<v Speaker 1>this right Like we're heading to Brazil right now, let's

0:36:14.080 --> 0:36:16.359
<v Speaker 1>head let's say I'm ready for that movie. I mean,

0:36:16.400 --> 0:36:19.480
<v Speaker 1>I don't want to be in the reality that it depicts.

0:36:19.520 --> 0:36:21.799
<v Speaker 1>I don't want to be I don't want it to

0:36:21.800 --> 0:36:24.719
<v Speaker 1>be reality. But I would totally watch that movie. Yeah,

0:36:24.800 --> 0:36:27.800
<v Speaker 1>me too. When we're talking big data, when we're talking

0:36:27.840 --> 0:36:30.120
<v Speaker 1>about all the information that's going out there, and we

0:36:30.200 --> 0:36:33.960
<v Speaker 1>mentioned the fact that companies are buying profiles in the

0:36:34.080 --> 0:36:38.279
<v Speaker 1>tens or hundreds of thousands or more, here's why. Let

0:36:38.280 --> 0:36:41.080
<v Speaker 1>me give you a few statistics on how much information

0:36:41.760 --> 0:36:45.799
<v Speaker 1>is hitting the Internet on a per minute basis. This

0:36:45.920 --> 0:36:48.920
<v Speaker 1>is based off of research that was conducted by a

0:36:49.040 --> 0:36:52.520
<v Speaker 1>data company called Domo, and this was published in August

0:36:52.640 --> 0:36:55.320
<v Speaker 1>of two thousand fifteen. So keep in mind these numbers

0:36:55.360 --> 0:37:01.239
<v Speaker 1>are already old. But every single minute Amazon receives four

0:37:01.239 --> 0:37:06.480
<v Speaker 1>thousand three unique visitors. Well, we're going to pause the

0:37:06.640 --> 0:37:20.759
<v Speaker 1>data tracking conversation for another quick break. So Amazon is

0:37:20.800 --> 0:37:23.960
<v Speaker 1>one of those companies that's really good at doing this

0:37:24.080 --> 0:37:27.000
<v Speaker 1>focused data tracking that you know, this is where you

0:37:27.120 --> 0:37:30.040
<v Speaker 1>buy a product and it says, hey, people who bought

0:37:30.040 --> 0:37:35.040
<v Speaker 1>this product also bought these other things, and then you think, oh, right, right,

0:37:35.160 --> 0:37:37.440
<v Speaker 1>I should get that. It's like it's like the perfect

0:37:37.800 --> 0:37:44.799
<v Speaker 1>impulse by shelf and it's customized for every single purchase. Right,

0:37:44.880 --> 0:37:49.560
<v Speaker 1>I do need batteries and dog biscuits. How did you know? Well,

0:37:49.600 --> 0:37:53.160
<v Speaker 1>there's there's there's there's this other level two, uh that

0:37:53.680 --> 0:37:56.600
<v Speaker 1>that people are starting to imagine when you think about

0:37:56.800 --> 0:38:01.520
<v Speaker 1>companies like nest Um, and you think about smart televisions

0:38:01.560 --> 0:38:04.200
<v Speaker 1>that actually interact with your refrigerator. And one of the

0:38:04.239 --> 0:38:09.200
<v Speaker 1>most convincing sort of imagined scenarios that was ever presented

0:38:09.239 --> 0:38:12.480
<v Speaker 1>to me in recent years was this idea that essentially,

0:38:12.520 --> 0:38:17.880
<v Speaker 1>over time, your refrigerator learns that you go for ice cream.

0:38:18.080 --> 0:38:21.319
<v Speaker 1>You go in for that vanilla ice cream, Um, right

0:38:21.360 --> 0:38:27.120
<v Speaker 1>around eight pm, and um, it tells your television that.

0:38:27.640 --> 0:38:31.080
<v Speaker 1>And then in the world of streaming that you know,

0:38:31.160 --> 0:38:33.680
<v Speaker 1>more and more people are doing on their actual television

0:38:33.800 --> 0:38:36.000
<v Speaker 1>instead of having it connected to a you know, a

0:38:36.040 --> 0:38:40.880
<v Speaker 1>cable channel. Um, you actually get at eight forty five,

0:38:41.120 --> 0:38:45.839
<v Speaker 1>you get an advertisement for ice cream, which reminds you

0:38:46.160 --> 0:38:48.279
<v Speaker 1>to go and eat some ice cream, and then you

0:38:48.400 --> 0:38:50.560
<v Speaker 1>end up eating more ice cream, and then you end

0:38:50.640 --> 0:38:53.560
<v Speaker 1>up buying This is the world where the appliances are

0:38:53.560 --> 0:38:57.839
<v Speaker 1>working against you. Yes, they're not telling you they eat

0:38:57.880 --> 0:39:00.719
<v Speaker 1>a kale set, or maybe they are. We Yeah, that's

0:39:00.760 --> 0:39:02.960
<v Speaker 1>also possible, Like if you have if you have this

0:39:03.040 --> 0:39:05.480
<v Speaker 1>thing where you're going out and buying kale salads and

0:39:05.480 --> 0:39:08.200
<v Speaker 1>then you're watching a lot of you know, food type stuff,

0:39:08.280 --> 0:39:10.759
<v Speaker 1>and your you might end up getting, Hey, here's a

0:39:10.840 --> 0:39:13.680
<v Speaker 1>quick recipe, and here are the fourteen ingredients you don't

0:39:13.719 --> 0:39:17.640
<v Speaker 1>have that you need to go to Whole Foods and buy. Um. Yeah,

0:39:18.120 --> 0:39:20.800
<v Speaker 1>it's a world. I host a show. I host another

0:39:20.800 --> 0:39:24.439
<v Speaker 1>show called forward Thinking, and in that show, it's it's

0:39:24.440 --> 0:39:26.880
<v Speaker 1>an optimistic view of the future and I have often

0:39:26.920 --> 0:39:29.839
<v Speaker 1>looked at this side from the optimist side, and it

0:39:29.920 --> 0:39:32.880
<v Speaker 1>is similar to what you were saying about every single

0:39:32.960 --> 0:39:37.640
<v Speaker 1>person's Web experience could be unique to them based upon

0:39:37.719 --> 0:39:40.720
<v Speaker 1>these factors. Uh. And and there's a way of doing

0:39:40.760 --> 0:39:44.600
<v Speaker 1>that where it is not kind of the scary, oppressive

0:39:44.840 --> 0:39:47.400
<v Speaker 1>type of way. But I I talk about how with

0:39:47.520 --> 0:39:51.239
<v Speaker 1>the Internet of things and with this connectivity of different appliances,

0:39:52.000 --> 0:39:54.359
<v Speaker 1>it's not that far of a stretch to imagine not

0:39:54.520 --> 0:39:59.640
<v Speaker 1>just the Web, your experience of reality could get to

0:39:59.640 --> 0:40:02.760
<v Speaker 1>a point where a lot of it is catered specifically

0:40:02.840 --> 0:40:06.120
<v Speaker 1>to you. Yeah, and there could be a lot of

0:40:06.120 --> 0:40:09.200
<v Speaker 1>good things that come out of that, right, um and

0:40:09.200 --> 0:40:13.440
<v Speaker 1>and and and I totally believe in that possibility. I mean,

0:40:13.480 --> 0:40:18.000
<v Speaker 1>like like we like you said, I think so, um

0:40:18.200 --> 0:40:21.759
<v Speaker 1>so thoughtfully when you came in and and and uh

0:40:22.120 --> 0:40:25.000
<v Speaker 1>talked about this stuff with me on Codebreaker, was was

0:40:25.040 --> 0:40:29.400
<v Speaker 1>basically this idea that look, it's um, I'm not going

0:40:29.440 --> 0:40:32.359
<v Speaker 1>to pull out the quote so eloquently as you did,

0:40:32.400 --> 0:40:36.680
<v Speaker 1>but look, this technology can it's us that makes it

0:40:36.760 --> 0:40:39.920
<v Speaker 1>good or bad. Right we we we have the power

0:40:40.080 --> 0:40:43.239
<v Speaker 1>theoretically to to make all of this stuff and make

0:40:43.320 --> 0:40:46.120
<v Speaker 1>data tracking work for us. As users and work for

0:40:46.200 --> 0:40:49.400
<v Speaker 1>us as organizations and companies. I mean, I think a

0:40:49.440 --> 0:40:52.840
<v Speaker 1>lot about the possibility of data tracking being really good

0:40:53.320 --> 0:40:57.440
<v Speaker 1>in the future where our climate is changing, um and

0:40:57.440 --> 0:41:00.400
<v Speaker 1>and the fact that we really understand and on a

0:41:00.440 --> 0:41:04.960
<v Speaker 1>global level, a lot more about our climate than we

0:41:05.040 --> 0:41:09.239
<v Speaker 1>did even thirty years ago thanks to an increased level

0:41:09.239 --> 0:41:12.160
<v Speaker 1>of data tracking, right, And that is an important point

0:41:12.160 --> 0:41:15.440
<v Speaker 1>to make, Ben, is that data tracking does not necessarily

0:41:15.520 --> 0:41:19.040
<v Speaker 1>mean it's about just people. Although people are an important

0:41:19.080 --> 0:41:21.239
<v Speaker 1>factor when you're looking even at climate change, because you

0:41:21.280 --> 0:41:24.240
<v Speaker 1>want to see, well, how is this affecting actual human

0:41:24.280 --> 0:41:27.359
<v Speaker 1>beings as well as the environment in general. You need

0:41:27.400 --> 0:41:30.040
<v Speaker 1>to know the whole picture. But data tracking is really

0:41:30.640 --> 0:41:36.839
<v Speaker 1>it's it's agnostic as far as what the data actually represents.

0:41:36.920 --> 0:41:40.840
<v Speaker 1>Like we're talking about data about everything, you know, anything

0:41:40.880 --> 0:41:42.960
<v Speaker 1>that you can imagine that can be quantified in the

0:41:43.000 --> 0:41:47.239
<v Speaker 1>form of data that is being tracked by someone for

0:41:47.320 --> 0:41:50.319
<v Speaker 1>some reason. Some of those reasons are good, some of

0:41:50.360 --> 0:41:55.120
<v Speaker 1>those reasons are way not good. Yeah, But but it's

0:41:55.160 --> 0:41:59.080
<v Speaker 1>not all just about people. And it's interesting too to

0:41:59.120 --> 0:42:01.440
<v Speaker 1>think about I wonder what you think about this, But

0:42:01.520 --> 0:42:07.520
<v Speaker 1>it's interesting too to think about just how I think

0:42:07.560 --> 0:42:09.719
<v Speaker 1>a lot of it feels out of control at this

0:42:09.800 --> 0:42:13.040
<v Speaker 1>point for the user, it feels like we don't fully

0:42:13.120 --> 0:42:16.400
<v Speaker 1>understand it. We don't fully understand how it's being used.

0:42:16.800 --> 0:42:19.279
<v Speaker 1>Um and what data about us is being tracked as

0:42:19.400 --> 0:42:23.520
<v Speaker 1>users and UM and you know, government, I mean, the

0:42:23.560 --> 0:42:26.359
<v Speaker 1>FTC in the past few years has become much more

0:42:26.440 --> 0:42:31.800
<v Speaker 1>involved in this idea of helping consumers protect themselves against

0:42:32.120 --> 0:42:35.319
<v Speaker 1>you know, abusive forms of data traction um if you will,

0:42:35.960 --> 0:42:37.879
<v Speaker 1>um and and there are a lot of qui and

0:42:37.880 --> 0:42:40.120
<v Speaker 1>and and also it's fair to say that I think

0:42:40.120 --> 0:42:43.719
<v Speaker 1>a lot of tech companies have endeavored to put not

0:42:43.800 --> 0:42:47.160
<v Speaker 1>only in terms of service agreements, but in the actual

0:42:47.239 --> 0:42:50.400
<v Speaker 1>tools that they give to the user when they manage

0:42:50.440 --> 0:42:53.080
<v Speaker 1>their own accounts, as you know, to put the power

0:42:53.120 --> 0:42:56.120
<v Speaker 1>in the user's hands to control this. But you know,

0:42:56.520 --> 0:42:58.759
<v Speaker 1>let's be honest, right, I mean, you and I don't

0:42:58.840 --> 0:43:02.719
<v Speaker 1>necessarily read all of the terms of services. You're telling me.

0:43:03.080 --> 0:43:06.279
<v Speaker 1>You don't read every end user license agreement. You don't.

0:43:06.400 --> 0:43:11.160
<v Speaker 1>You can't recite the is you know. It's it's tough.

0:43:11.200 --> 0:43:14.040
<v Speaker 1>It's tough. I can't remember the last time, honestly, I

0:43:14.080 --> 0:43:17.080
<v Speaker 1>cannot remember the last time I actually read a LA

0:43:17.640 --> 0:43:22.000
<v Speaker 1>because who who has time for that? I want to

0:43:22.120 --> 0:43:25.640
<v Speaker 1>use your shiny new toy. I don't care that I've

0:43:25.680 --> 0:43:28.719
<v Speaker 1>given up all my privacy. And if as long as

0:43:28.760 --> 0:43:31.200
<v Speaker 1>I get to play with the shiny new toy, if

0:43:31.239 --> 0:43:34.480
<v Speaker 1>my b B eight remote control droid is secretly telling

0:43:34.560 --> 0:43:38.560
<v Speaker 1>Disney exactly how to make me buy more BB eight

0:43:38.560 --> 0:43:43.640
<v Speaker 1>remote control droids, so be it. Um, it all comes

0:43:43.640 --> 0:43:46.799
<v Speaker 1>back to Star Wars. Well, I mean, you know, the

0:43:46.840 --> 0:43:49.440
<v Speaker 1>force is strong in my family. My father has it,

0:43:49.640 --> 0:43:53.680
<v Speaker 1>I have it, my sister has it. So uh, you

0:43:53.719 --> 0:43:56.279
<v Speaker 1>know this is this has been a great conversation, great

0:43:56.320 --> 0:43:59.680
<v Speaker 1>talk about this topic. And uh you know again, if

0:43:59.719 --> 0:44:02.839
<v Speaker 1>you guys have it checked out Codebreaker, you definitely need

0:44:02.840 --> 0:44:07.480
<v Speaker 1>to remedy that immediately. It is a phenomenal series that

0:44:07.560 --> 0:44:10.839
<v Speaker 1>covers various topics. And this is your first season, right,

0:44:11.840 --> 0:44:14.840
<v Speaker 1>This is our first season, Jonathan, and we're looking forward

0:44:14.840 --> 0:44:17.560
<v Speaker 1>to having you back on for our second season which

0:44:17.600 --> 0:44:21.239
<v Speaker 1>is coming soon. Um. But but yeah, it's been a

0:44:21.239 --> 0:44:23.120
<v Speaker 1>lot of fun and and it was it was great

0:44:23.160 --> 0:44:26.680
<v Speaker 1>fun to talk to you on Codebreaker and um and

0:44:26.719 --> 0:44:29.640
<v Speaker 1>have you be a part of the show, and we

0:44:29.719 --> 0:44:33.440
<v Speaker 1>hope you'll you'll keep listening. Absolutely, and guys, you also

0:44:33.480 --> 0:44:37.040
<v Speaker 1>have to know this thing about code breaker, because it's

0:44:37.040 --> 0:44:40.840
<v Speaker 1>a gimmick that's so good. I was mad at myself

0:44:40.960 --> 0:44:45.320
<v Speaker 1>for never thinking about it. This is it was brilliant.

0:44:45.360 --> 0:44:48.720
<v Speaker 1>You you produced, You had all of the shows produced

0:44:48.719 --> 0:44:52.640
<v Speaker 1>and ready to go, and you hid codes in the

0:44:52.680 --> 0:44:56.480
<v Speaker 1>episodes and if you're able to break the code, you

0:44:56.520 --> 0:45:01.160
<v Speaker 1>can listen to the next episode before it publishes. Yes,

0:45:01.560 --> 0:45:03.759
<v Speaker 1>well we should start, you know, I mean, you know

0:45:05.080 --> 0:45:08.000
<v Speaker 1>I'm ready to have we embedded a secret code in

0:45:08.000 --> 0:45:11.359
<v Speaker 1>this episode. John. You know, I like to say yes

0:45:12.120 --> 0:45:16.400
<v Speaker 1>just to drive people crazy, but I'm not gonna do that.

0:45:16.560 --> 0:45:19.880
<v Speaker 1>I was just so proud of myself for for breaking

0:45:19.960 --> 0:45:24.200
<v Speaker 1>the the Morse code in the You did an episode

0:45:24.239 --> 0:45:29.239
<v Speaker 1>about internet porn, which is an incredible episode. Probably not

0:45:29.440 --> 0:45:32.960
<v Speaker 1>safe for you to listen to on speakers if you have,

0:45:34.120 --> 0:45:36.719
<v Speaker 1>not safe for work or for little ones, obviously for

0:45:36.719 --> 0:45:40.439
<v Speaker 1>for obvious reasons. But it's a real honest look at

0:45:40.440 --> 0:45:45.040
<v Speaker 1>what is not only a big industry online but legitimately

0:45:45.840 --> 0:45:51.480
<v Speaker 1>it can make or break certain types of on the

0:45:51.600 --> 0:45:56.680
<v Speaker 1>edge technologies like if you wonder why Blu ray one

0:45:56.840 --> 0:46:00.520
<v Speaker 1>over h D, d v D. It's one of the

0:46:00.560 --> 0:46:04.360
<v Speaker 1>big reasons I mean you know, it's it's crazy to

0:46:04.440 --> 0:46:08.440
<v Speaker 1>think about that. If you wonder why the a v

0:46:08.760 --> 0:46:13.719
<v Speaker 1>N conference overlapped with c ES for so many years.

0:46:14.840 --> 0:46:17.800
<v Speaker 1>This is why it's an incredible episode. And I managed

0:46:17.840 --> 0:46:20.719
<v Speaker 1>to actually break the code and I was probably a

0:46:20.760 --> 0:46:26.080
<v Speaker 1>little more proud of myself than I should have been. Well,

0:46:26.120 --> 0:46:28.040
<v Speaker 1>now you should, I mean you should be proud. It's

0:46:28.320 --> 0:46:31.759
<v Speaker 1>Morris code. It's it's it's not used, um, you know,

0:46:32.000 --> 0:46:35.320
<v Speaker 1>very very widely anymore by by at least most people.

0:46:35.360 --> 0:46:37.799
<v Speaker 1>But it's, uh, it's always a good thing to know. Yeah,

0:46:37.840 --> 0:46:40.560
<v Speaker 1>it turns out, you know, once you once you commit

0:46:40.640 --> 0:46:44.920
<v Speaker 1>that scouts stuff to memory and have and have a

0:46:44.960 --> 0:46:47.520
<v Speaker 1>web page opened up that tells you what the dots

0:46:47.520 --> 0:46:50.960
<v Speaker 1>and dashes being because I didn't remember. But but it's

0:46:50.960 --> 0:46:53.719
<v Speaker 1>still it's it's a it's a great way to engage

0:46:53.760 --> 0:46:58.239
<v Speaker 1>the listeners on top of this interesting take you have

0:46:58.360 --> 0:47:00.719
<v Speaker 1>on the different topics. So I just make sure you

0:47:00.800 --> 0:47:04.799
<v Speaker 1>go and check that out. Ben, Thank you so much

0:47:04.840 --> 0:47:06.960
<v Speaker 1>for agreeing to be part of this. This was I

0:47:06.960 --> 0:47:10.640
<v Speaker 1>think a really fun, kind of complimentary piece to your

0:47:10.800 --> 0:47:15.759
<v Speaker 1>Codebreaker episode, which again, uh, I really enjoyed you guys.

0:47:15.880 --> 0:47:18.279
<v Speaker 1>Let me listen to it before I was even I

0:47:18.560 --> 0:47:22.080
<v Speaker 1>recorded the final segment on that episode and I got

0:47:22.080 --> 0:47:24.680
<v Speaker 1>to listen to everything up to that point, and I

0:47:24.719 --> 0:47:26.879
<v Speaker 1>was just I was like, are you sure you want me?

0:47:28.040 --> 0:47:30.359
<v Speaker 1>You're bat and clean up man, you are our close up.

0:47:30.520 --> 0:47:33.600
<v Speaker 1>We love glad, We're glad I could could be of service.

0:47:33.640 --> 0:47:36.360
<v Speaker 1>It was an honor so well, it was great to

0:47:36.400 --> 0:47:38.080
<v Speaker 1>have you. It was great to have you on and

0:47:38.120 --> 0:47:41.440
<v Speaker 1>when we're big fans of tech stuff, so we're like, um,

0:47:41.960 --> 0:47:44.160
<v Speaker 1>it was thank you so much for for having me

0:47:44.200 --> 0:47:46.279
<v Speaker 1>and for for talking to me about this stuff. And

0:47:46.320 --> 0:47:49.200
<v Speaker 1>I think, I don't know, man, I you know, I

0:47:49.320 --> 0:47:52.200
<v Speaker 1>end up feeling you know, I think so many of

0:47:52.280 --> 0:47:54.879
<v Speaker 1>us end up heeling lost right about when it when

0:47:54.920 --> 0:47:57.480
<v Speaker 1>it comes to data tracking. And my only hope is

0:47:57.520 --> 0:48:00.000
<v Speaker 1>that is that I mean not to say that they're

0:48:00.080 --> 0:48:02.200
<v Speaker 1>should be an app for that, but you know, I'm

0:48:02.239 --> 0:48:04.360
<v Speaker 1>my only hope is that we will at some point

0:48:04.480 --> 0:48:08.279
<v Speaker 1>reach a reach a stage where it's easier for the

0:48:08.400 --> 0:48:12.520
<v Speaker 1>user to to really have control over what they're sharing

0:48:12.719 --> 0:48:17.280
<v Speaker 1>and and and also users are more more educated about

0:48:17.280 --> 0:48:20.440
<v Speaker 1>what they're sharing. Um. And I think I think we're all,

0:48:20.680 --> 0:48:22.640
<v Speaker 1>you know, we're all a little bit on the hook

0:48:22.680 --> 0:48:25.320
<v Speaker 1>for for not being more educated about what we're sharing.

0:48:25.360 --> 0:48:29.440
<v Speaker 1>But we're also you know, we also need better tools

0:48:29.640 --> 0:48:32.680
<v Speaker 1>to understand how we are sharing our data and how

0:48:32.680 --> 0:48:34.640
<v Speaker 1>it's being trapped and we and we definitely need to

0:48:34.719 --> 0:48:40.800
<v Speaker 1>hold government accountable for making sure they create and foster

0:48:41.960 --> 0:48:47.520
<v Speaker 1>departments that are specialized in informing other bodies of government

0:48:47.560 --> 0:48:51.160
<v Speaker 1>about these things, keeping up to date, because as we know,

0:48:51.239 --> 0:48:53.880
<v Speaker 1>I mean, we're we're still seeing an era where the

0:48:53.920 --> 0:48:57.239
<v Speaker 1>people who are in positions of power often they have

0:48:57.480 --> 0:49:00.680
<v Speaker 1>limited to no experience with a lot of the things

0:49:00.680 --> 0:49:04.120
<v Speaker 1>that are affecting us on a daily basis. Oh man,

0:49:04.280 --> 0:49:07.919
<v Speaker 1>those those those uh the Supreme Court transcripts. Man, it's

0:49:07.920 --> 0:49:11.560
<v Speaker 1>a sad world. So if we're gonna like, we can't

0:49:11.680 --> 0:49:15.080
<v Speaker 1>wait until the millennials are in the Supreme Court for

0:49:15.160 --> 0:49:18.920
<v Speaker 1>one thing, I'm gonna be dead by then. So I

0:49:18.960 --> 0:49:21.239
<v Speaker 1>would like to see things improve before that. But that's

0:49:21.320 --> 0:49:23.680
<v Speaker 1>that's one of those real challenges is that we have

0:49:24.239 --> 0:49:29.040
<v Speaker 1>a different population and positions of power who they may

0:49:29.200 --> 0:49:33.320
<v Speaker 1>have every desire to help us make sure that these

0:49:33.360 --> 0:49:36.120
<v Speaker 1>things are being used in a responsible way, a non

0:49:36.160 --> 0:49:41.279
<v Speaker 1>predatory and an ethical way, but they have, you know,

0:49:41.320 --> 0:49:43.560
<v Speaker 1>to them, it's it's like if you were to present

0:49:43.640 --> 0:49:46.000
<v Speaker 1>me with a page written in Greek, I would have

0:49:46.040 --> 0:49:49.560
<v Speaker 1>no idea what to do with that. So what technology

0:49:49.600 --> 0:49:53.520
<v Speaker 1>moves faster than policy? Right? Always has and and and

0:49:53.520 --> 0:49:55.680
<v Speaker 1>and and I think it's it's as true with data

0:49:55.719 --> 0:49:59.000
<v Speaker 1>tracking as anything else. And it's just, um, it's a

0:49:59.000 --> 0:50:01.080
<v Speaker 1>reality that we all have to deal with. But it's

0:50:01.160 --> 0:50:04.400
<v Speaker 1>it's it's something that hopefully will will change over time.

0:50:04.640 --> 0:50:09.160
<v Speaker 1>And it's not not not before, not before a lot

0:50:09.200 --> 0:50:12.040
<v Speaker 1>of stuff happens that many people may regret. So it's

0:50:12.120 --> 0:50:14.800
<v Speaker 1>it's always good to be thinking about it. Yeah. Absolutely,

0:50:16.120 --> 0:50:19.320
<v Speaker 1>That wraps up the classic episode of the evils of

0:50:19.400 --> 0:50:23.040
<v Speaker 1>data tracking. Big thanks again to Ben Johnson from Two

0:50:23.040 --> 0:50:25.760
<v Speaker 1>Bells and fifteen joining the show. That was a pleasure.

0:50:25.840 --> 0:50:28.600
<v Speaker 1>Hope we can sometimes get them back on the show.

0:50:29.480 --> 0:50:33.600
<v Speaker 1>And yeah, that's it for this classic episode of tech Stuff.

0:50:33.640 --> 0:50:36.440
<v Speaker 1>If you have suggestions, you can always reach out to

0:50:36.480 --> 0:50:39.320
<v Speaker 1>me either through the I Heart Radio app, using a

0:50:39.360 --> 0:50:41.719
<v Speaker 1>little microphone on the tech stuff page, to leave me

0:50:41.760 --> 0:50:44.440
<v Speaker 1>a voicemail, or to send me a message on Twitter.

0:50:44.640 --> 0:50:46.560
<v Speaker 1>The handle for the show is tech Stuff H s

0:50:46.760 --> 0:50:55.959
<v Speaker 1>W and I'll talk to you again really soon. Text

0:50:55.960 --> 0:50:59.400
<v Speaker 1>Stuff is an I Heart Radio production For more podcasts

0:50:59.440 --> 0:51:02.200
<v Speaker 1>from My heart Radio, visit the I heart Radio app,

0:51:02.320 --> 0:51:05.480
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