WEBVTT - Biometrics: Digital Fingerprinting

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<v Speaker 1>Get in touch with technology with text Stuff from how

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<v Speaker 1>Stuff Work dot com. Either everyone, and welcome to Text Stuff.

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<v Speaker 1>I'm Jonathan Strickland and I'm La. And you know, we

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<v Speaker 1>had to actually verify our identities before walking into the podcast,

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<v Speaker 1>which is just standard operating procedure here in How Stuff Works.

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<v Speaker 1>Oh right, it's a it's a blood sample, retina scan,

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<v Speaker 1>and fingerprint before we're allowed to enter any doors. Yeah,

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<v Speaker 1>it's really awkward. That's why most of us no longer

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<v Speaker 1>wait till the last minute to have to run to

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<v Speaker 1>the bathroom because disaster can strike. But it does mean

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<v Speaker 1>that we thought, hey, we should talk about biometrics, and

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<v Speaker 1>then we started looking into it and getting really excited,

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<v Speaker 1>and then we realized, hey, there's a lot to talk about, right. Biometrics,

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<v Speaker 1>of course, being the measurable biological or behavioral characteristics used

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<v Speaker 1>for for any given individual. Yes, this is what how

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<v Speaker 1>the FBI says, this is what the biometrics are. So, uh,

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<v Speaker 1>you know, it's one of those things where we knew

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<v Speaker 1>it was a huge topic and we decided to narrow

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<v Speaker 1>it down. So today we're specifically focusing on your fingerprints,

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<v Speaker 1>well not your fingerprints, I mean, I mean everyone's fingerprints. No,

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<v Speaker 1>see the person sitting next to you, No, not that one,

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<v Speaker 1>the other one, that person's fingerprints. That's that's the one

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<v Speaker 1>we're concentrating on. So yeah, because everyone has has different fingerprints,

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<v Speaker 1>I mean like everyone, right, And this is something that

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<v Speaker 1>has been known for a while but then forgotten and

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<v Speaker 1>then rediscovered. So we're going to talk about that because

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<v Speaker 1>it's kind of funny. So these days we think of

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<v Speaker 1>biometrics as sort of those automated ways to verify your

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<v Speaker 1>identity based on some sort of biological characteristic, like you know,

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<v Speaker 1>the eye scan or the fingerprints scan or whatever. Vocal

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<v Speaker 1>scans as well, you know, like the voice imprint. Lots

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<v Speaker 1>of different Hollywood versions of this. But you know, again,

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<v Speaker 1>going into that fingerprint approach, we thought that, you know,

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<v Speaker 1>we we look at not just how we've defined it

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<v Speaker 1>and how stuff works, but look at a whole history

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<v Speaker 1>of fingerprinting. U We're not the first podcast to do this,

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<v Speaker 1>by the way, certainly not. Josh and Check of Stuff

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<v Speaker 1>you Should Know did an episode on April called how

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<v Speaker 1>Fingerprinting Works, and they go pretty deeply into the history

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<v Speaker 1>and say many pithy things. So if you would like

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<v Speaker 1>to check that episode out. You can go to Stuff

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<v Speaker 1>you Should Know dot com right and just stick around

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<v Speaker 1>because we're gonna say some pithy things too. We are

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<v Speaker 1>going to cover some of the history, kind of a

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<v Speaker 1>quick overview. But first I thought I would read a

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<v Speaker 1>couple of little excerpts from our article on how fingerprint

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<v Speaker 1>scanners work, because there are a couple that I thought

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<v Speaker 1>were really interesting from how stuff Works dot Com. Neither

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<v Speaker 1>of us actually wrote this. Nope, Nope, I didn't write

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<v Speaker 1>this one. This one says people have tiny ridges of

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<v Speaker 1>skin on their fingers because this particular adaptation was extremely

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<v Speaker 1>advantageous to the ancestors of the human species. The pattern

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<v Speaker 1>of ridges and valleys on fingers make it easier for

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<v Speaker 1>the ends to grip things in the same way a

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<v Speaker 1>rubber tread pattern helps to attire grip the road. The

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<v Speaker 1>other function of fingerprints is a total coincidence. Like everything

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<v Speaker 1>in the human body, these ridges form through a combination

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<v Speaker 1>of genetic and environmental factors. The genetic code and DNA

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<v Speaker 1>gives general orders in the way skin should form in

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<v Speaker 1>the developing fetus, but the specific way it forms is

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<v Speaker 1>a result of random events. The exact position of the

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<v Speaker 1>fetus in the womb at a particular moment, and the

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<v Speaker 1>exact composition and density of surrounding amniotic fluid decides how

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<v Speaker 1>every individual ridge will form. This, by the way, is

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<v Speaker 1>how identical twins can have different fingerprints. Pretty cool because

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<v Speaker 1>you know, genetically they're identical, but their fingerprints are different,

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<v Speaker 1>still different. Interesting. So looking at this history, you might think, Okay,

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<v Speaker 1>I've heard about fingerprinting, particularly when it applies to law enforcement.

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<v Speaker 1>That's probably where a lot of people are familiar with it.

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<v Speaker 1>Besides the verification. Sure, sure, and uh and a couple

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<v Speaker 1>popular media pieces have talked recently about Um. I mean

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<v Speaker 1>you you get things like Ripper Street or Sleepy Hollow

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<v Speaker 1>having characters going like this new fingerprinting thing in the amazing,

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<v Speaker 1>amazing age of Victoria. Um, not not so much. Actually,

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<v Speaker 1>so fingerprints people, Well, first of all, people have been

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<v Speaker 1>aware of them for ages because we're curious folks, you know,

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<v Speaker 1>human beings. We we were very curious and narcissistic. We

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<v Speaker 1>like to learn stuff, and we like to look at ourselves.

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<v Speaker 1>And how do I know that this dates back? Are

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<v Speaker 1>ages and ages and ages ago because we have prehistoric

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<v Speaker 1>depictions found in Nova Scotia uh, and it depicted a

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<v Speaker 1>hand with ridge patterns on the skin. Now, that does

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<v Speaker 1>not mean that the ancient Nova Scotians were familiar with

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<v Speaker 1>the fact that all the fingerprints were unique and therefore

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<v Speaker 1>no two individuals had the same ones, but at least

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<v Speaker 1>show that, you know, yeah, they noticed them. Yeah, but

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<v Speaker 1>the ancient Babylonians may have actually used ping of prints

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<v Speaker 1>to differentiate people. Um, we've found fingerprints in clay to

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<v Speaker 1>to sign business transactions, and the ancient Chinese used inked

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<v Speaker 1>fingerprints for both business purposes and child identification. And in

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<v Speaker 1>the thirteen hundreds in Persia, official government documents often included fingerprints,

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<v Speaker 1>probably to indicate they were authorized and official. Now, according

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<v Speaker 1>to the US Marshall's Office, which has an entire web

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<v Speaker 1>page devoted to fingerprinting in the history of it, one

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<v Speaker 1>government official in Persia at that time made the observation

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<v Speaker 1>that no two fingerprints were alike, which obviously would be

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<v Speaker 1>very important if you're making a document official or authorized.

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<v Speaker 1>But it wasn't until the eighteen eighties that that amazing

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<v Speaker 1>Age of Victoria previously mentioned that we got some kind

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<v Speaker 1>of official classification system, right. It wasn't until the modern

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<v Speaker 1>era that we started seeing it in UH story. It

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<v Speaker 1>wasn't even in wide use at the beginning. It was

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<v Speaker 1>just kind of exploratory. Dr. Henry Faulds back in eighteen

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<v Speaker 1>eighty posed using fingerprints for identification as well as a

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<v Speaker 1>means of classifying them. So he forwarded these ideas to

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<v Speaker 1>a certain Charles Darwin, very important historical figure in his

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<v Speaker 1>own right. But Darwin at the time was towards the

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<v Speaker 1>end of his life and felt that he did not

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<v Speaker 1>have the necessary UH time and energy to devote to

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<v Speaker 1>this thought. It was really interesting, however, so he forwarded

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<v Speaker 1>the information along to a cousin of his named Francis Galton.

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<v Speaker 1>So false would write a scientific paper about his methods

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<v Speaker 1>and actually identified a fingerprint. Ascertain the identity of the

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<v Speaker 1>person who left that fingerprint on bottle of alcohol shouldn't

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<v Speaker 1>come as any surprise. I guess who brings it all together?

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<v Speaker 1>It does. Then in three Mark Twain would would use

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<v Speaker 1>this this new startling scientific information in a story. Yeah,

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<v Speaker 1>it was in Life on the Mississippi, and in that

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<v Speaker 1>one of the elements of that stories of order is

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<v Speaker 1>identified through the use of fingerprints. And he would revisit

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<v Speaker 1>the idea in a book called Putting Head Wilson. Putting

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<v Speaker 1>Head Wilson. Yea, so it's interesting. Now this was before

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<v Speaker 1>anyone was actually using uh, fingerprints in any kind of

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<v Speaker 1>criminal investigations on an official basis. It had not been

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<v Speaker 1>science fiction, really was it kind of was so so

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<v Speaker 1>that was exciting. But but soon in eighteen eighty eight,

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<v Speaker 1>Sir Francis Galton, remember the cousin to Charles Darwin, who

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<v Speaker 1>had received information about this about ten years previous, um

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<v Speaker 1>began his own study of fingerprints. Yep. He wrote a

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<v Speaker 1>book in eighteen ninety two and put forth a formal

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<v Speaker 1>classification system and identify the tiny characteristics used to differentiate fingerprints,

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<v Speaker 1>which now we call Galton's details. He also observed that

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<v Speaker 1>fingerprints don't change over the lifetime of a person, so

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<v Speaker 1>the ones you have when you're a kid are the

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<v Speaker 1>same ones you have when you're old. Originally wanted to

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<v Speaker 1>kind of link fingerprints to certain types of traits like

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<v Speaker 1>intelligence or heredity, which is so racist. Yeah, kind of essentially,

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<v Speaker 1>I think this was almost in an attempt. And I

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<v Speaker 1>don't know enough about Galton to say this for sure,

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<v Speaker 1>but it seems like an attempt to justify certain society's

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<v Speaker 1>beliefs in certain people, that kind of thing. Yeah, it

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<v Speaker 1>wasn't necessarily so racist, but um, but it's kind of

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<v Speaker 1>it kind of runs in that direction. Yeah, because I mean,

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<v Speaker 1>the idea that you could identify a person's intelligence based

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<v Speaker 1>on their fingerprints already seems a little sketchy, And in fact,

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<v Speaker 1>he did determined that there was no connection. There was

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<v Speaker 1>no there were no identifier marks in a person's fingerprints

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<v Speaker 1>that would give you any clue as to that person's

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<v Speaker 1>intelligence or genetic background. However, he did figure out that

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<v Speaker 1>there were a lot of differences and that people didn't

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<v Speaker 1>weren't likely to have the same fingerprints. Yeah, unlikely, in

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<v Speaker 1>the order of one in sixty four billion, that's pretty unlikely.

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<v Speaker 1>So in eight we get the first use of fingerprints

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<v Speaker 1>in a criminal investigation on an official level. Uh one vs.

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<v Speaker 1>Tech And I'm sure I butchered his last name. Who

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<v Speaker 1>was a police officer in Argentina used them in a

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<v Speaker 1>murder investigation. It was actually a really tragic case, but

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<v Speaker 1>the discovery meant that he was able to solve this

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<v Speaker 1>mystery and prove that the person that was believed to

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<v Speaker 1>have been the murderer was in fact not the killer.

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<v Speaker 1>So Uh, not only was it the first use, but

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<v Speaker 1>it was a pretty dramatic example of it. Now, between

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<v Speaker 1>we're gonna skip to nineteen eighteen, but between the late

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<v Speaker 1>nineteenth century and the early twentieth century he started to

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<v Speaker 1>see fingerprints get adopted into various legal organizations all around

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<v Speaker 1>the world. The United Kingdom and the United States were

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<v Speaker 1>leading the way, but it was all over the place.

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<v Speaker 1>So by nineteen eighteen you have Edmund Lekard who says

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<v Speaker 1>that you only need twelve points of similarity between an

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<v Speaker 1>individual's fingerprint and a target fingerprint to serve as a

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<v Speaker 1>positive identification. Now you may have heard about those twelve

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<v Speaker 1>points of singularity, that this is somehow like a legal thing,

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<v Speaker 1>that if you were able to meet those twelve points

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<v Speaker 1>of singularity, you have the legal basis to say this

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<v Speaker 1>person did this. Uh, not necessarily a legal definition at all.

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<v Speaker 1>In fact, UH, countries have very very different ways of

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<v Speaker 1>saying whether or not a fingerprint is a valid match

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<v Speaker 1>for another one, and some, like the United States, do

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<v Speaker 1>not have a minimum number of resemblances that need to

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<v Speaker 1>be there in order for you to call it a match. Now,

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<v Speaker 1>usually law enforcement agencies rely on experts who give their

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<v Speaker 1>expert opinion and therefore putting their own reputation on the

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<v Speaker 1>line as to whether or not something matches. And of

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<v Speaker 1>course now these days we rely very heavily on digital information,

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<v Speaker 1>which with very very complex and intelligent i'll rhythms, that

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<v Speaker 1>will that will do some really interesting like work. Yeah,

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<v Speaker 1>and so with that, you know, the the level of

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<v Speaker 1>a confidence grows quite a bit. So, uh, just so

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<v Speaker 1>you know that twelve points of similarity not necessarily a

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<v Speaker 1>legal standard. Nineteen four, that's when Congress enabled had an

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<v Speaker 1>act that established the new division for the Federal Bureau

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<v Speaker 1>of Investigation also known as the f b I. UH

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<v Speaker 1>and this division was called the Identification Division. I bet

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<v Speaker 1>you can guess what it did. So it became kind

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<v Speaker 1>of a centralized fingerprint file for the entire country. So

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<v Speaker 1>not it wasn't necessarily uh standard procedure for every law

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<v Speaker 1>enforcement agency out there to send a copy to the FBI.

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<v Speaker 1>But that's kind of what started to happen, so that, uh,

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<v Speaker 1>there could be this sort of cooperation between different departments

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<v Speaker 1>which often wouldn't have any communication with each other. Sure sure,

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<v Speaker 1>by ninety six, the FBI would have processed more than

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<v Speaker 1>a hundred million fingerprint cards. Yeah, not just processed, but

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<v Speaker 1>they did that by hand, right, right, and it would

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<v Speaker 1>be two million by two million physical cards with fingerprints

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<v Speaker 1>on them. I mean, just imagine how many, Like how

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<v Speaker 1>how much storage you need just for me? It's two

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<v Speaker 1>I can't even I can't even imagine it. But by

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<v Speaker 1>the FBI introduced the Integrated Automated Fingerprint Identification System or

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<v Speaker 1>if SO. It's the largest fingerprint database in the world,

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<v Speaker 1>and its computer automated. It takes about twenty seven minutes

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<v Speaker 1>for the system to comb through every single file in

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<v Speaker 1>its database to find out if there is a potential match.

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<v Speaker 1>During a criminal investigation, it's different. If it's a civil case,

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<v Speaker 1>it's actually like more than an hour. But for criminal investigation,

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<v Speaker 1>for all the criminal files that are storing this database,

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<v Speaker 1>twenty seven minutes from the time you actually input the

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<v Speaker 1>suspects fingerprint. I imagine that's a lot faster than whatever

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<v Speaker 1>in her and they sent down to the basement, Well yeah,

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<v Speaker 1>because I mean you would have to narrow down the

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<v Speaker 1>person quite a bit before you could ever start coming right,

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<v Speaker 1>this is a man, So cut out all the women

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<v Speaker 1>and then go like there are seventy million of them

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<v Speaker 1>down there. Uh yeah, that would be that would be

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<v Speaker 1>a daunting task. So in the digital age, we can

0:13:22.679 --> 0:13:26.240
<v Speaker 1>actually analyze this stuff way better than we ever could,

0:13:26.280 --> 0:13:28.040
<v Speaker 1>Like you don't have to use the naked eye anymore

0:13:28.080 --> 0:13:30.480
<v Speaker 1>and try and find those little ridges and stuff. You

0:13:30.480 --> 0:13:34.800
<v Speaker 1>can actually rely very heavily upon computer systems. And once

0:13:34.840 --> 0:13:39.479
<v Speaker 1>we started getting those computer systems in place, they pretty

0:13:39.520 --> 0:13:44.000
<v Speaker 1>soon thereafter became um commercially available. Yeah. Yeah, we had

0:13:44.040 --> 0:13:47.200
<v Speaker 1>some fingerprint verification systems that have been around for a

0:13:47.240 --> 0:13:50.120
<v Speaker 1>few decades now. On the consumer level, they've only been

0:13:50.160 --> 0:13:53.079
<v Speaker 1>available fairly recently. And you might be thinking, oh, yeah, yeah,

0:13:53.120 --> 0:13:56.079
<v Speaker 1>the iPhone five s because it has that that fingerprint

0:13:56.120 --> 0:13:58.640
<v Speaker 1>scanner where you can use that to log into your phone.

0:13:58.920 --> 0:14:03.040
<v Speaker 1>That's the first smart ohne to ever use that, right, Nope, no, no,

0:14:03.160 --> 0:14:05.880
<v Speaker 1>there's actually a mobile device. The first mobile device that

0:14:05.920 --> 0:14:08.520
<v Speaker 1>I found was a one that dated from two thousand three,

0:14:08.559 --> 0:14:11.960
<v Speaker 1>the H and Boy. The name of this is phenomenal.

0:14:12.120 --> 0:14:15.720
<v Speaker 1>HP names their products in such catchy ways. It's the

0:14:15.960 --> 0:14:23.320
<v Speaker 1>HP I pack, I p a Q P PC pocket PC.

0:14:24.000 --> 0:14:26.760
<v Speaker 1>Oh yeah, it just rolls off the tongue. Yeah, it

0:14:26.760 --> 0:14:28.680
<v Speaker 1>really is. I mean, with a name like that, how

0:14:28.680 --> 0:14:33.160
<v Speaker 1>could you resist I phone my phone. So at any rate,

0:14:33.200 --> 0:14:36.960
<v Speaker 1>this was the first mobile device to incorporate finger scanning technology.

0:14:37.160 --> 0:14:38.480
<v Speaker 1>But it was also sort of the edge of a

0:14:38.560 --> 0:14:42.280
<v Speaker 1>boom for the technology. UM it was being extended for

0:14:42.280 --> 0:14:44.200
<v Speaker 1>for wide consumer use at the time. I mean, you know,

0:14:44.280 --> 0:14:46.360
<v Speaker 1>keyboards and mice had UM, laptops had him. You can

0:14:46.400 --> 0:14:50.160
<v Speaker 1>buy a USB scanner for multipurpose use and encrypt everything

0:14:50.240 --> 0:14:54.360
<v Speaker 1>with your fingerprint, right, you could end up creating, for example,

0:14:54.440 --> 0:14:56.840
<v Speaker 1>with a copier, you could end up telling people, all right,

0:14:57.280 --> 0:15:00.600
<v Speaker 1>this group of folks are authorized to make copy. Anyone

0:15:00.600 --> 0:15:03.000
<v Speaker 1>who's not on this list cannot make copies. And you

0:15:03.000 --> 0:15:04.760
<v Speaker 1>would walk up to make copies. And if you weren't

0:15:04.800 --> 0:15:08.680
<v Speaker 1>on that list, then I guess no fun Christmas party

0:15:08.720 --> 0:15:11.720
<v Speaker 1>Shenanigans for you. But but but but also opening this up

0:15:11.720 --> 0:15:14.560
<v Speaker 1>to the consumer market meant that a lot of people

0:15:14.680 --> 0:15:18.200
<v Speaker 1>started finding the flaws in the technology. Oh yes. In

0:15:18.200 --> 0:15:22.120
<v Speaker 1>December five, clarks And University researchers announced that they could

0:15:22.120 --> 0:15:28.440
<v Speaker 1>fool of the world's fingerprint scanners using an incredibly sophisticated,

0:15:29.000 --> 0:15:34.640
<v Speaker 1>expensive substance. Yeah, they could just go out to toy

0:15:34.680 --> 0:15:38.200
<v Speaker 1>store and buy some Plato and essentially make a copy

0:15:38.360 --> 0:15:41.280
<v Speaker 1>of a fingerprint and put it on any optical scanner,

0:15:41.280 --> 0:15:43.200
<v Speaker 1>and we'll talk about the optical scanners in a little bit.

0:15:43.640 --> 0:15:48.080
<v Speaker 1>And it worked really well. So that gave people some

0:15:48.120 --> 0:15:50.280
<v Speaker 1>pause and thought, maybe we should come up with something

0:15:50.320 --> 0:15:55.240
<v Speaker 1>besides optical scanners too, because fingerprint identification is a great idea.

0:15:55.720 --> 0:15:57.440
<v Speaker 1>But if it's if it's that easy to fool, we

0:15:57.440 --> 0:15:59.680
<v Speaker 1>have to find a different way of measuring it. So

0:16:00.040 --> 0:16:03.840
<v Speaker 1>then there was a totally different expose on September twenty one,

0:16:04.000 --> 0:16:07.840
<v Speaker 1>two thousand and six, when our beloved MythBusters decided to

0:16:08.160 --> 0:16:10.920
<v Speaker 1>do a fingerprint scanner scam of their own. They decided

0:16:10.920 --> 0:16:12.560
<v Speaker 1>to see if they could fool one. And this one

0:16:12.640 --> 0:16:14.760
<v Speaker 1>was a little different. It wasn't just an optical scanner.

0:16:14.800 --> 0:16:18.360
<v Speaker 1>It was supposed to also detect sweat from pores in

0:16:18.400 --> 0:16:21.200
<v Speaker 1>the fingertips. Okay, so so you can't just use a

0:16:21.280 --> 0:16:24.800
<v Speaker 1>lump of plato or photograph. You have to have something

0:16:24.840 --> 0:16:28.200
<v Speaker 1>that sweats has to have to otherwise it's never gonna work.

0:16:28.400 --> 0:16:31.680
<v Speaker 1>So what did they do. They made a latext copy

0:16:31.880 --> 0:16:35.040
<v Speaker 1>of a fingerprint and then they did a very sophisticated

0:16:35.160 --> 0:16:40.560
<v Speaker 1>thing in order to simulate sweat. Yeah, and it worked.

0:16:41.240 --> 0:16:45.680
<v Speaker 1>So if you can't play dough it, lick it, I

0:16:45.720 --> 0:16:48.440
<v Speaker 1>guess is the moral of that story. I think I

0:16:48.720 --> 0:16:50.880
<v Speaker 1>think that that's really what we all should learn from

0:16:50.880 --> 0:16:54.320
<v Speaker 1>this today. Probably, So anyway, they're still seeing this kind

0:16:54.360 --> 0:16:57.120
<v Speaker 1>of technology being rolled out, but it's not just an

0:16:57.160 --> 0:17:00.760
<v Speaker 1>optical scanners, and even optical skins have gotten a lot

0:17:00.800 --> 0:17:03.000
<v Speaker 1>better than they were back in two thousand and five.

0:17:03.520 --> 0:17:05.920
<v Speaker 1>So we're gonna we're gonna cover exactly how they work.

0:17:05.960 --> 0:17:08.639
<v Speaker 1>But before we do that, let's take a quick break

0:17:08.880 --> 0:17:11.959
<v Speaker 1>to thank our sponsor. Alright, I had just talked about

0:17:12.119 --> 0:17:14.439
<v Speaker 1>optical scanners, and those are one of the ones that

0:17:14.480 --> 0:17:18.080
<v Speaker 1>are the easiest to explain and uh and fairly common

0:17:18.119 --> 0:17:21.919
<v Speaker 1>even today. In fact, not my work computer, but my

0:17:22.000 --> 0:17:25.040
<v Speaker 1>home computer has in my home laptop has a little

0:17:25.080 --> 0:17:26.960
<v Speaker 1>optical scanner. So if I want to log in, I

0:17:27.000 --> 0:17:30.440
<v Speaker 1>can just swipe my finger across it. So optical scanners

0:17:30.640 --> 0:17:34.720
<v Speaker 1>use something that is found in digital cameras and camcorders

0:17:34.800 --> 0:17:38.760
<v Speaker 1>called a charge coupled device or c c D. Now,

0:17:38.840 --> 0:17:41.960
<v Speaker 1>essentially that's a light sensor. It's got an array of

0:17:42.000 --> 0:17:46.320
<v Speaker 1>things called photo sites. Now that's light sensitive diodes, and

0:17:46.400 --> 0:17:49.400
<v Speaker 1>it's works pretty much the way you would imagine. So photons,

0:17:49.440 --> 0:17:52.840
<v Speaker 1>those little particles of light when they make a collision

0:17:52.880 --> 0:17:56.479
<v Speaker 1>with these photo sites, it generates a little electrical signal

0:17:56.920 --> 0:17:59.840
<v Speaker 1>and those can then be compiled and converted into a

0:18:00.000 --> 0:18:02.800
<v Speaker 1>digital image. And it's essentially the same process that digital

0:18:02.840 --> 0:18:06.320
<v Speaker 1>cameras used to take pictures. And here's the thing though,

0:18:06.680 --> 0:18:09.919
<v Speaker 1>So if I put my finger on an optical scanner,

0:18:09.960 --> 0:18:13.600
<v Speaker 1>I'm actually blocking light. And unless you happen to be

0:18:13.880 --> 0:18:18.840
<v Speaker 1>et the extraterrestrial, your finger probably isn't emitting light. So

0:18:18.880 --> 0:18:21.600
<v Speaker 1>how the heck is it getting this picture? Well, it

0:18:21.720 --> 0:18:24.359
<v Speaker 1>uses a flash, yeah, except in this case of flash

0:18:24.440 --> 0:18:26.880
<v Speaker 1>is probably like a single LED or for some scanners

0:18:26.880 --> 0:18:30.520
<v Speaker 1>maybe an array of LEDs light emitting diodes in other words,

0:18:31.320 --> 0:18:34.399
<v Speaker 1>and so that provides the light that is necessary to

0:18:34.480 --> 0:18:38.120
<v Speaker 1>take this image. And uh, then the c c D

0:18:38.480 --> 0:18:41.679
<v Speaker 1>creates an image of your fingertip. However, it's a little funky.

0:18:42.080 --> 0:18:45.520
<v Speaker 1>It's inverted, right. The dark areas are going to represent

0:18:45.600 --> 0:18:48.239
<v Speaker 1>the ridges that the raised portions of your fingertip, and

0:18:48.280 --> 0:18:50.840
<v Speaker 1>the light areas are going to represent the values. Yeah,

0:18:50.840 --> 0:18:52.800
<v Speaker 1>so it's kind of like looking at a negative, a

0:18:52.800 --> 0:18:56.680
<v Speaker 1>photo negative. Uh. And it makes sense because stuff that's

0:18:56.720 --> 0:18:59.159
<v Speaker 1>reflecting more light is going to create a lot a

0:18:59.200 --> 0:19:03.600
<v Speaker 1>bigger electra called signal bus creating that. You know, the

0:19:03.920 --> 0:19:06.159
<v Speaker 1>charge couple device is going to make that into a

0:19:06.240 --> 0:19:09.240
<v Speaker 1>darker portion the valleys. The light is not as much

0:19:09.280 --> 0:19:11.040
<v Speaker 1>of it's going to reflect back, so you get a

0:19:11.080 --> 0:19:14.200
<v Speaker 1>weaker electrical signal. That's why it gets lighter. Uh So,

0:19:15.000 --> 0:19:19.280
<v Speaker 1>if you were to scan your finger and UM and

0:19:19.320 --> 0:19:21.520
<v Speaker 1>it tells you that it's a good scan, because most

0:19:21.560 --> 0:19:24.679
<v Speaker 1>of these devices also have some sort of fail safe

0:19:24.680 --> 0:19:27.640
<v Speaker 1>in them that will alert you if there wasn't enough

0:19:28.440 --> 0:19:32.119
<v Speaker 1>enough differentiation between the dark and light parts, right, that

0:19:32.200 --> 0:19:34.760
<v Speaker 1>the same way that you're that your camera UM sometimes

0:19:34.840 --> 0:19:38.000
<v Speaker 1>will take a picture that's that's overdeveloped or underdeveloped, the

0:19:38.040 --> 0:19:40.320
<v Speaker 1>same thing can happen here. Yeah, So if you wanted to,

0:19:40.840 --> 0:19:43.359
<v Speaker 1>like if you most of the software has let error

0:19:43.359 --> 0:19:46.119
<v Speaker 1>function built into it, so it can tell and it

0:19:46.119 --> 0:19:47.720
<v Speaker 1>will ask you to scan again, right, So then you

0:19:47.720 --> 0:19:49.840
<v Speaker 1>would scan again. So if it's the first time you're

0:19:49.920 --> 0:19:52.480
<v Speaker 1>using it, then you would also end up creating a

0:19:52.520 --> 0:19:54.639
<v Speaker 1>profile in some way. It might not be you, it

0:19:54.720 --> 0:19:58.160
<v Speaker 1>might be an administrator, but something that links the fingerprint

0:19:58.240 --> 0:20:01.000
<v Speaker 1>to who you are and what says you are supposed

0:20:01.040 --> 0:20:05.120
<v Speaker 1>to have will happen then on subsequent uses, what will

0:20:05.160 --> 0:20:07.600
<v Speaker 1>happen is that when you scan your finger it will

0:20:07.640 --> 0:20:11.879
<v Speaker 1>go through its database of of identities that have fingerprints

0:20:11.920 --> 0:20:15.080
<v Speaker 1>attached to them look for you. If you're there, then

0:20:15.119 --> 0:20:18.440
<v Speaker 1>it will authorize you for whatever use you're allowed. So,

0:20:18.760 --> 0:20:22.440
<v Speaker 1>for instance, on my home computer, I've given myself very

0:20:22.480 --> 0:20:25.440
<v Speaker 1>strict restrictions because I am not to be trusted. Uh,

0:20:25.480 --> 0:20:27.919
<v Speaker 1>And so all I'm able to do is play a

0:20:28.040 --> 0:20:33.080
<v Speaker 1>pirated copy of Flappy Bird. That's not true, I don't

0:20:33.080 --> 0:20:35.879
<v Speaker 1>have Flappy Bird. But at any rate, you know that's

0:20:36.080 --> 0:20:40.000
<v Speaker 1>the basic You know, that's the basic procedure, right, and

0:20:40.000 --> 0:20:42.840
<v Speaker 1>and so if your finger print is not found in

0:20:42.880 --> 0:20:45.679
<v Speaker 1>that database, you get an error. So either you have

0:20:45.760 --> 0:20:48.119
<v Speaker 1>to swipe it again or or scan it again if

0:20:48.119 --> 0:20:50.639
<v Speaker 1>it's not swipe all depends on what kind of scanner

0:20:50.680 --> 0:20:54.560
<v Speaker 1>you're at, or you end up saying the jig is up,

0:20:54.920 --> 0:20:58.040
<v Speaker 1>you got me, I don't really belong here, and then

0:20:58.080 --> 0:21:01.960
<v Speaker 1>you run away. Um. So that that's the basic thing,

0:21:02.240 --> 0:21:05.960
<v Speaker 1>and what they're looking for. It's not the entire pattern

0:21:06.359 --> 0:21:10.080
<v Speaker 1>of your fingertip. It's looking for for a specific minutia

0:21:10.320 --> 0:21:13.080
<v Speaker 1>about it. Uh. Certain types of patterns and it and

0:21:13.119 --> 0:21:15.480
<v Speaker 1>it depends on the software that the scanner is using.

0:21:15.680 --> 0:21:19.320
<v Speaker 1>Um it might be the places where the ridges converge

0:21:19.600 --> 0:21:22.679
<v Speaker 1>um or or split apart at the end, or um

0:21:22.720 --> 0:21:24.399
<v Speaker 1>any any other kind of detail. It's going to be

0:21:24.480 --> 0:21:27.080
<v Speaker 1>unique to you. Right. So in other words, all has

0:21:27.119 --> 0:21:29.440
<v Speaker 1>to do is say, hey, there are these three points

0:21:29.440 --> 0:21:33.399
<v Speaker 1>on this fingertip, uh that are unique that that's all

0:21:33.440 --> 0:21:36.560
<v Speaker 1>I'm concerned about. And if the fingerprint that scan has

0:21:36.600 --> 0:21:38.760
<v Speaker 1>those three points, I know it's this person and they

0:21:38.760 --> 0:21:41.680
<v Speaker 1>can be let through by constraining on the minutia, then

0:21:41.680 --> 0:21:43.399
<v Speaker 1>you really cut down on all the rest of the

0:21:43.480 --> 0:21:46.800
<v Speaker 1>data that's necessary to have a verification. Right, you can

0:21:46.840 --> 0:21:49.880
<v Speaker 1>kind of throw everything else out and concentrate on that

0:21:49.960 --> 0:21:52.520
<v Speaker 1>and right. Uh And and they're pretty good, like we said,

0:21:52.560 --> 0:21:55.000
<v Speaker 1>though they can sometimes be fooled by a really high

0:21:55.080 --> 0:21:58.600
<v Speaker 1>quality picture of a fingerprint. Right. So what if you

0:21:58.800 --> 0:22:02.399
<v Speaker 1>instead of looking at a picture, you were to measure

0:22:02.440 --> 0:22:08.000
<v Speaker 1>the fingerprint in some other way, such as capacitance right,

0:22:08.160 --> 0:22:11.800
<v Speaker 1>because capacitense touch screens are totally a thing. Yeah, so

0:22:12.480 --> 0:22:15.840
<v Speaker 1>it's very similar to what a regular capacityans touch screen is.

0:22:15.840 --> 0:22:17.560
<v Speaker 1>So you know, there are different ways of doing touch

0:22:17.600 --> 0:22:19.680
<v Speaker 1>screens as well. There's somewhere you have to use pressure.

0:22:20.359 --> 0:22:22.080
<v Speaker 1>With the benefit of that is you could be wearing

0:22:22.080 --> 0:22:26.800
<v Speaker 1>gloves and still work a pressure version. The downside is

0:22:26.840 --> 0:22:30.840
<v Speaker 1>that when people are expected to apply pressure to delicate material,

0:22:30.960 --> 0:22:34.639
<v Speaker 1>they sometimes destroy it completely, right, or it'll at least

0:22:35.440 --> 0:22:40.919
<v Speaker 1>decrease the lifespan of that object by quite a bit. Capacitance, however,

0:22:41.400 --> 0:22:46.439
<v Speaker 1>uses weak electric fields, So when you make contact with

0:22:46.600 --> 0:22:49.600
<v Speaker 1>a screen, a touch screen, that's using capacitance. Uh see,

0:22:49.600 --> 0:22:52.840
<v Speaker 1>you're a conductor. I don't mean that you conduct trains,

0:22:53.000 --> 0:22:55.399
<v Speaker 1>Nor do I mean that you Maybe you do. Maybe

0:22:55.400 --> 0:22:58.680
<v Speaker 1>you do, Maybe you do. Maybe you conduct orchestras. Maybe

0:22:58.680 --> 0:23:01.199
<v Speaker 1>you conduct orchestras on a train. I don't know, but

0:23:01.240 --> 0:23:02.879
<v Speaker 1>I know what I'm talking about. If you do, call us,

0:23:02.880 --> 0:23:05.160
<v Speaker 1>because that sounds fascint, would be kind of cool. Actually,

0:23:05.200 --> 0:23:09.080
<v Speaker 1>But now I'm talking about electrical conductivity. So we can

0:23:09.160 --> 0:23:11.800
<v Speaker 1>conduct electricity. It's not great for us to have a

0:23:11.840 --> 0:23:14.600
<v Speaker 1>lot of it, but tiny amounts don't hurt us. Sure,

0:23:14.720 --> 0:23:17.000
<v Speaker 1>And as it turns out, the ridges and valleys on

0:23:17.080 --> 0:23:21.359
<v Speaker 1>your fingers conducts slightly different amounts of electricity. This blows

0:23:21.440 --> 0:23:24.080
<v Speaker 1>my mind. I mean to think that the raised parts

0:23:24.119 --> 0:23:26.920
<v Speaker 1>of your fingerprint, and the valleys of your fingerprint are

0:23:27.160 --> 0:23:32.639
<v Speaker 1>distinct enough to create a measurable difference in capacitance. You know,

0:23:32.720 --> 0:23:35.080
<v Speaker 1>It's something I never would have imagined. And it's really

0:23:35.119 --> 0:23:36.840
<v Speaker 1>a sensor issue here. I mean the fact that we

0:23:36.880 --> 0:23:40.560
<v Speaker 1>can create these these cells, these capacitor plate cells that

0:23:40.680 --> 0:23:44.840
<v Speaker 1>are sensitive enough to tell that yeah technology. So what's

0:23:44.840 --> 0:23:46.800
<v Speaker 1>happening is when you put your finger down on one

0:23:46.840 --> 0:23:51.919
<v Speaker 1>of these capacity scanners, you are actually you're acting as

0:23:51.960 --> 0:23:54.800
<v Speaker 1>a capacitance plate, right, your fingertip is acting is one,

0:23:54.840 --> 0:23:57.680
<v Speaker 1>and you already have other ones inside the scanner itself,

0:23:58.320 --> 0:24:01.720
<v Speaker 1>and it will end up creating voltages and there will

0:24:01.760 --> 0:24:05.199
<v Speaker 1>be difference differences in those voltages. The differences between the

0:24:05.280 --> 0:24:07.919
<v Speaker 1>ridges and the valleys based on how far away they

0:24:07.960 --> 0:24:10.720
<v Speaker 1>are from the from the cells. Yeah, so if it's

0:24:10.720 --> 0:24:13.119
<v Speaker 1>a valley, it's going to be lower capacitance because the

0:24:13.240 --> 0:24:17.520
<v Speaker 1>distance is greater. Capacitance is very dependent upon distance. So

0:24:17.640 --> 0:24:20.239
<v Speaker 1>if you move to capacitance plates far enough apart, they

0:24:20.240 --> 0:24:23.840
<v Speaker 1>will not be they will not work together. So it's

0:24:23.840 --> 0:24:27.600
<v Speaker 1>amazing that the valleys, just by being that much further

0:24:27.680 --> 0:24:30.639
<v Speaker 1>away will create a different voltage than the ridges. And

0:24:30.680 --> 0:24:33.560
<v Speaker 1>then having a whole whole set of these cells set

0:24:33.600 --> 0:24:37.000
<v Speaker 1>up next to one another. UM it allows the scanner

0:24:37.040 --> 0:24:39.840
<v Speaker 1>to to sort of make a digital picture of your fingerprint,

0:24:39.920 --> 0:24:43.280
<v Speaker 1>but just using electricity rather than light. The data from

0:24:43.280 --> 0:24:46.560
<v Speaker 1>each one is again compiled and then converted into an

0:24:46.560 --> 0:24:49.120
<v Speaker 1>image of sorts. Yeah. Yeah, you can think of it

0:24:49.200 --> 0:24:52.560
<v Speaker 1>as like an image made with electricity. And this is

0:24:52.560 --> 0:24:55.760
<v Speaker 1>the sort of scanner that the iPhone five S uses,

0:24:55.880 --> 0:24:58.600
<v Speaker 1>so it's not an optical scanner. One of the big

0:24:58.640 --> 0:25:01.240
<v Speaker 1>benefits of this technolog g is that it's easier to

0:25:01.280 --> 0:25:04.520
<v Speaker 1>make it really compact and manaturized, which is why you

0:25:04.520 --> 0:25:09.560
<v Speaker 1>could find it in things like handheld electronics, right sure. Um. However,

0:25:09.720 --> 0:25:13.080
<v Speaker 1>this technology can also be fooled UM sometimes by by

0:25:13.200 --> 0:25:16.200
<v Speaker 1>mold of a finger UM or if someone has gone

0:25:16.240 --> 0:25:18.720
<v Speaker 1>and calibrated the scanner to look for things like like

0:25:18.840 --> 0:25:22.439
<v Speaker 1>heat or a pulse. UM. You can you can use

0:25:22.520 --> 0:25:25.040
<v Speaker 1>one of those movie tricks, like a gelatine or silicone

0:25:25.040 --> 0:25:30.200
<v Speaker 1>mold of a finger UM pasted onto a different different finger. Yeah.

0:25:30.440 --> 0:25:35.240
<v Speaker 1>My favorite version of getting past a UM capacitance or

0:25:35.280 --> 0:25:39.479
<v Speaker 1>an optical scanner is to use the finger that's been

0:25:39.520 --> 0:25:43.920
<v Speaker 1>removed from the person who had the authorization. Yeah, yeah, sniping,

0:25:43.960 --> 0:25:46.919
<v Speaker 1>that's that's that's your favorite. That's my favorite out in

0:25:46.920 --> 0:25:50.080
<v Speaker 1>the field. That's what you like. We had this discussion

0:25:50.119 --> 0:25:52.360
<v Speaker 1>about the born identity before we came into the podcast.

0:25:52.440 --> 0:25:55.280
<v Speaker 1>This is totally true. Uh, I don't like to discuss

0:25:55.359 --> 0:25:59.600
<v Speaker 1>my actual field operative kind of mentality and strategies, but yes,

0:25:59.680 --> 0:26:02.920
<v Speaker 1>I do love doing that. So thermal scanners, well, this

0:26:02.920 --> 0:26:05.400
<v Speaker 1>one's a little different because it's a it's a heat scanner,

0:26:05.760 --> 0:26:08.800
<v Speaker 1>and again it's one of those ideas where it measures

0:26:08.800 --> 0:26:13.600
<v Speaker 1>the differences in heat between ridges and valleys. Once again,

0:26:13.960 --> 0:26:16.560
<v Speaker 1>you're going to get a slightly higher temperature from the

0:26:16.600 --> 0:26:18.240
<v Speaker 1>ridges than you do with the valleys. The valleys that

0:26:18.240 --> 0:26:21.640
<v Speaker 1>are essentially pockets of air. There's some downside with this one.

0:26:21.680 --> 0:26:24.760
<v Speaker 1>One of the problems with thermal scanners is that if

0:26:24.800 --> 0:26:26.879
<v Speaker 1>you if it takes too long to do the scan,

0:26:27.359 --> 0:26:31.439
<v Speaker 1>the temperature differences are going to equalize across the and

0:26:32.000 --> 0:26:37.200
<v Speaker 1>wind up you just get a blank fingerprint, like a

0:26:37.240 --> 0:26:40.680
<v Speaker 1>big blank fingerprint. Not useful. This next one is super cool.

0:26:40.760 --> 0:26:45.040
<v Speaker 1>It's ultrasonic ultrasonic sensors, so right, Yeah, we did a

0:26:45.080 --> 0:26:49.640
<v Speaker 1>whole episode about ultrasound called How Ultrasound Works. Crazily enough

0:26:49.680 --> 0:26:53.240
<v Speaker 1>that published on January if you would like to hear

0:26:53.280 --> 0:26:55.840
<v Speaker 1>all about how this technology works. But um, but it's

0:26:55.920 --> 0:26:59.800
<v Speaker 1>essentially echolocation. Yeah, you're sending out sound signals and then

0:26:59.800 --> 0:27:02.160
<v Speaker 1>you're waiting for them to bounce back, and by measuring

0:27:02.200 --> 0:27:04.239
<v Speaker 1>the amount of time it took to go out and

0:27:04.359 --> 0:27:06.800
<v Speaker 1>come back, you get an idea of how far away

0:27:06.880 --> 0:27:09.760
<v Speaker 1>something is. Well, that works, you know, in lots of

0:27:09.760 --> 0:27:13.159
<v Speaker 1>different ways, including being able to tell a fingerprint, being

0:27:13.200 --> 0:27:16.119
<v Speaker 1>able to read a fingerprint. It can go even deeper

0:27:16.119 --> 0:27:18.880
<v Speaker 1>than that, exactly, it can go into tissues. So if

0:27:18.920 --> 0:27:22.080
<v Speaker 1>you wanted, you could create an ultrasonic fingerprint scanner that

0:27:22.200 --> 0:27:26.080
<v Speaker 1>scan not just the fingerprint itself, but the underlying veins

0:27:26.160 --> 0:27:28.080
<v Speaker 1>that are in your finger which also are going to

0:27:28.080 --> 0:27:31.280
<v Speaker 1>be unique to you. So that's a lot harder to

0:27:31.440 --> 0:27:34.400
<v Speaker 1>fake than a fingerprint. Like you're not going to get

0:27:34.400 --> 0:27:38.240
<v Speaker 1>a really high resolution image of veins and then create

0:27:38.280 --> 0:27:41.560
<v Speaker 1>a fake finger easily. It would be really difficult. I mean,

0:27:41.560 --> 0:27:44.600
<v Speaker 1>but you could use, um your favorite application, which is

0:27:44.840 --> 0:27:48.760
<v Speaker 1>removing someone's finger and that right unless you had also

0:27:48.840 --> 0:27:53.680
<v Speaker 1>built into the software to detect living tissue, because to

0:27:53.920 --> 0:27:56.920
<v Speaker 1>see if blood is moving through the veins the vessel.

0:27:57.040 --> 0:27:59.680
<v Speaker 1>If it's not detecting blood, it's good to say, y'all,

0:27:59.720 --> 0:28:03.200
<v Speaker 1>this is messed up. You need to send someone down

0:28:03.280 --> 0:28:06.440
<v Speaker 1>right now. The fingerprint scanner. Things that are bad are happening.

0:28:07.119 --> 0:28:09.520
<v Speaker 1>That's exactly what the voice it uses too. I I

0:28:09.600 --> 0:28:11.920
<v Speaker 1>assumed I run into it in the field all the time.

0:28:12.240 --> 0:28:14.320
<v Speaker 1>So yeah, I mean this is uh, you know, that's

0:28:14.600 --> 0:28:16.800
<v Speaker 1>we're making light of it because to be serious about

0:28:16.840 --> 0:28:20.640
<v Speaker 1>it is so squeaky. But at any rate, it does

0:28:20.760 --> 0:28:22.680
<v Speaker 1>mean that you can build those sort of parameters in

0:28:22.760 --> 0:28:25.200
<v Speaker 1>so it's not just looking at the fingerprint and the

0:28:25.280 --> 0:28:27.880
<v Speaker 1>veins underneath, but also to make sure it is truly

0:28:28.359 --> 0:28:31.800
<v Speaker 1>a valid uh entry, so that they don't you know,

0:28:31.840 --> 0:28:35.880
<v Speaker 1>you don't end up compromising security. Um and there there's

0:28:35.920 --> 0:28:38.280
<v Speaker 1>also I wanted to mention very briefly the difference between

0:28:38.280 --> 0:28:42.080
<v Speaker 1>those static uh fingerprint scanners, especially the optical ones where

0:28:42.120 --> 0:28:43.800
<v Speaker 1>you just hold your finger down and you wait for it.

0:28:43.800 --> 0:28:46.120
<v Speaker 1>It's kind of like a copier, right right, and the

0:28:46.240 --> 0:28:48.560
<v Speaker 1>swipe style that you were talking about having on your

0:28:48.560 --> 0:28:52.400
<v Speaker 1>home laptop exactly. So if you've ever had a laptop

0:28:52.480 --> 0:28:54.840
<v Speaker 1>or any other device that has like a narrow window

0:28:54.960 --> 0:28:57.720
<v Speaker 1>and you're supposed to swipe your finger across that window.

0:28:58.360 --> 0:29:00.760
<v Speaker 1>The reason for that is that it's actually taking in

0:29:00.960 --> 0:29:04.840
<v Speaker 1>a series of quote unquote images of your finger. However,

0:29:04.880 --> 0:29:08.480
<v Speaker 1>the implementation is actually being used. It's it's doing then

0:29:08.640 --> 0:29:11.920
<v Speaker 1>a quick series. Machines are really fast, so they can

0:29:11.920 --> 0:29:14.760
<v Speaker 1>do this without any real problem. They're looking for those

0:29:14.800 --> 0:29:17.840
<v Speaker 1>minutia that we talked about before, and they're able to,

0:29:18.000 --> 0:29:20.440
<v Speaker 1>uh to use software to compile them. But you know,

0:29:20.480 --> 0:29:23.320
<v Speaker 1>it's it's it's nifty having the smaller form factor because

0:29:23.640 --> 0:29:26.520
<v Speaker 1>like we said, uh, then you can miniaturize, you can

0:29:26.560 --> 0:29:29.480
<v Speaker 1>put them in something like a cell phone and also

0:29:29.560 --> 0:29:32.479
<v Speaker 1>make them cheaper. Exactly. Yeah, you've got this little window

0:29:32.520 --> 0:29:34.360
<v Speaker 1>and your finger moves past the window instead of the

0:29:34.360 --> 0:29:38.440
<v Speaker 1>window having to be big enough to So it's it's

0:29:38.480 --> 0:29:42.600
<v Speaker 1>really uh an interesting development and uh pretty cool. Also,

0:29:42.720 --> 0:29:45.920
<v Speaker 1>we can mention that biometric systems, many of them, not

0:29:46.000 --> 0:29:48.240
<v Speaker 1>necessarily all of them, but many of them end up

0:29:48.280 --> 0:29:52.680
<v Speaker 1>translating your fingerprint into an algorithm that or an algorithm

0:29:52.720 --> 0:29:54.480
<v Speaker 1>rather does the translating that turns it into a bunch

0:29:54.480 --> 0:29:56.920
<v Speaker 1>of ones and zeros, all right, right. A digitization um

0:29:56.960 --> 0:29:59.760
<v Speaker 1>sometimes called a hash. It's like a personal code like

0:29:59.800 --> 0:30:02.920
<v Speaker 1>a really long pen. Yeah. So in this case, what

0:30:02.960 --> 0:30:05.240
<v Speaker 1>you would say is that it's not storing an image

0:30:05.240 --> 0:30:06.920
<v Speaker 1>of your fingerprint. It's not like if you were to

0:30:06.960 --> 0:30:10.080
<v Speaker 1>somehow hack into the computer you would suddenly see a

0:30:10.320 --> 0:30:13.560
<v Speaker 1>on your screen representation of your fingerprint. It would just

0:30:13.600 --> 0:30:16.960
<v Speaker 1>mean that it would take the the pattern of ridges

0:30:17.000 --> 0:30:20.160
<v Speaker 1>and valleys and all the night nutia convert that into

0:30:20.200 --> 0:30:24.120
<v Speaker 1>this this hash, this this long string of ones and zeros,

0:30:24.440 --> 0:30:27.200
<v Speaker 1>and the next time you scan it, if the if

0:30:27.200 --> 0:30:29.400
<v Speaker 1>the same hash comes up, then it as a match

0:30:29.400 --> 0:30:32.440
<v Speaker 1>and it says, all right, identification has been verified. But

0:30:32.520 --> 0:30:37.360
<v Speaker 1>it's not actually like an actual, real image of your fingerprint.

0:30:37.680 --> 0:30:40.160
<v Speaker 1>And the reason why a lot of these companies try

0:30:40.200 --> 0:30:43.040
<v Speaker 1>to talk about you know this as as a big

0:30:43.080 --> 0:30:46.680
<v Speaker 1>selling point is that it doesn't allow you to recreate

0:30:47.360 --> 0:30:49.720
<v Speaker 1>a person's fingerprint if you were to get hold of

0:30:49.760 --> 0:30:52.360
<v Speaker 1>those hashes. So it's not like you would say, oh,

0:30:52.400 --> 0:30:55.680
<v Speaker 1>if I just put this through an image program, I

0:30:55.680 --> 0:30:59.360
<v Speaker 1>suddenly get a picture of that fingerprint. You would just yeah,

0:30:59.400 --> 0:31:01.680
<v Speaker 1>that's that's the way I think that the iPhone five

0:31:01.920 --> 0:31:07.880
<v Speaker 1>S and the Galaxy something something that the latest Samsung

0:31:08.160 --> 0:31:11.640
<v Speaker 1>incorporates it, and um PayPal, these Days even has um

0:31:11.880 --> 0:31:15.360
<v Speaker 1>fingerprint signatures on their app, and any any device that

0:31:15.800 --> 0:31:19.240
<v Speaker 1>allows you to in to scan in your fingerprint will

0:31:20.000 --> 0:31:22.320
<v Speaker 1>let you pay for stuff on PayPal with that signature.

0:31:22.400 --> 0:31:23.680
<v Speaker 1>I'm sure we're going to see a lot of that

0:31:23.760 --> 0:31:27.640
<v Speaker 1>kind of stuff incorporate with things like the NFC technology

0:31:27.720 --> 0:31:31.400
<v Speaker 1>or even the low Bluetooth energy low energy Bluetooth. Rather,

0:31:31.440 --> 0:31:34.480
<v Speaker 1>I should say, uh, implementations where your fingerprint instead of

0:31:34.520 --> 0:31:36.400
<v Speaker 1>having to put in a pen, you just swipe your

0:31:36.440 --> 0:31:38.720
<v Speaker 1>finger Yeah, you know, I don't know. I kind of

0:31:38.760 --> 0:31:42.080
<v Speaker 1>hope that it's an additional safety feature, not a standalone

0:31:42.120 --> 0:31:45.320
<v Speaker 1>safety feature, because you know, unlike a password or a pin,

0:31:45.440 --> 0:31:48.200
<v Speaker 1>you can't just change your fingerprint if it gets stolen,

0:31:48.600 --> 0:31:52.680
<v Speaker 1>and this hash issue adds security to to the whole thing.

0:31:53.040 --> 0:31:55.680
<v Speaker 1>It's harder to but I'm sure that someone if they

0:31:55.720 --> 0:31:58.680
<v Speaker 1>really wanted to, could decode a hash and figure out

0:31:58.720 --> 0:32:01.480
<v Speaker 1>what that scan looks like. Yuh maybe, I mean, they

0:32:01.520 --> 0:32:03.400
<v Speaker 1>would have to have a lot of information, but it

0:32:03.480 --> 0:32:06.280
<v Speaker 1>is It is important to say that there is no

0:32:06.480 --> 0:32:12.320
<v Speaker 1>security feature out there that's going to be perfect, right right,

0:32:12.360 --> 0:32:15.800
<v Speaker 1>There's nothing out there, so having it as an additional tool,

0:32:15.920 --> 0:32:18.320
<v Speaker 1>I agree, Lauren, that's that's the best way of looking

0:32:18.360 --> 0:32:20.719
<v Speaker 1>at it. I think anytime we decide that we're going

0:32:20.760 --> 0:32:25.200
<v Speaker 1>to rely on a specific implementation and that's it and

0:32:25.240 --> 0:32:28.640
<v Speaker 1>we're done, we're good, then we're pretty much dooming ourselves

0:32:28.640 --> 0:32:31.040
<v Speaker 1>to getting hacked in some way down the line because

0:32:31.040 --> 0:32:33.720
<v Speaker 1>people are smart and they figure out ways around rules

0:32:33.800 --> 0:32:35.320
<v Speaker 1>they do, and I really don't want to have to

0:32:35.400 --> 0:32:38.880
<v Speaker 1>change my fingerprints, not again. All right, So that wraps

0:32:38.960 --> 0:32:41.640
<v Speaker 1>up this episode of tex Stuff. Folks, if you have

0:32:41.800 --> 0:32:45.080
<v Speaker 1>suggestions for future topics, you should let us know because

0:32:45.160 --> 0:32:48.160
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0:32:48.240 --> 0:32:50.240
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0:32:50.280 --> 0:32:52.760
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0:32:56.880 --> 0:32:59.920
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0:33:00.480 --> 0:33:06.040
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