Speaker 1: This is Gary and Shannon and you're listening to kf
Speaker 1: I AM six forty, the Gary and Shannon Show on
Speaker 1: demand on the iHeartRadio app.
Speaker 2: I mean I did never ever watch the show. But
Speaker 2: was that Game of Thrones Elmer?
Speaker 1: Okay, yes, no, yes, well of course we were just
Speaker 1: talking about the dire Wolves.
Speaker 3: No, I know, I.
Speaker 4: So mad.
Speaker 3: I'm sorry. What's going on with you? Do I really? Yeah?
Speaker 3: Is it the open toad shoes thing that I'm the
Speaker 3: comment that I made? No?
Speaker 1: Sure, yeah, No, everything's fine. Sure sounds like it did.
Speaker 1: Is it just the thing about your clothes?
Speaker 3: Is that my thing? Hey?
Speaker 5: Gary, this is Tim from Orange. I take care of
Speaker 5: a wealthy family live on a ranch in Texas, and
Speaker 5: they travel all over the world and I handle all
Speaker 5: their fun and their toys.
Speaker 3: No, that's cool.
Speaker 5: I get paid one thousand dollars a day.
Speaker 3: All year long. Wow.
Speaker 5: I handle their surcinge trips and their equipment for Baja,
Speaker 5: the handle their skis when they're in Montana, etc.
Speaker 3: Wow.
Speaker 1: Thing that sounds awful. Oh you think it sounds good
Speaker 1: for a thousand bucks a day. I just want to
Speaker 1: feel their skis for their trip to Montana. That'd be Okay, yeah,
Speaker 1: I guess I just wouldn't feel great about it. It's
Speaker 1: not like something you feel good about at the end
Speaker 1: of the day. Would you would you.
Speaker 2: Allow your husband to pack for you for a trip,
Speaker 2: Yeah you would, Yeah, you'd feel comfortable that he'd probably
Speaker 2: do a much better job.
Speaker 3: Really, why my wife would never She.
Speaker 1: Would never allow you to pack for her.
Speaker 3: Huh, No, that would not happen. What would you pack?
Speaker 1: Well, I would pack the normal things, pants and tops
Speaker 1: and bottoms. But you're well, difference, there's another there's like
Speaker 1: the external bag, the bathroom bag. Well, but your wife's fashionable.
Speaker 1: All my husband would have to do is pack me
Speaker 1: a couple pairs of jeans and a couple of black
Speaker 1: tank tops and call it a day. She has like outfits.
Speaker 1: I do not, so it's much easier. He also would
Speaker 1: take me to places like tent cabins at Yosemite. You
Speaker 1: know what I mean.
Speaker 3: She's trying. It's really really not that hard to pack
Speaker 3: for our trips. What else is going on? Time for
Speaker 3: what's happening?
Speaker 1: The Department of Justice is getting involved, going to form
Speaker 1: a task for us to investigate fraud, waste, abuse, and
Speaker 1: corruption involving homeless dollars here in southern California. This, guys,
Speaker 1: this is gonna get crazy. We saw this coming. We've
Speaker 1: talked to Michael Monks about it before. When that federal
Speaker 1: judge a week or so ago had Karen Bass and
Speaker 1: the board of supervisors his chambers and said, y'all are
Speaker 1: doing this wrong, and I'm going to get to the
Speaker 1: bottom of it. We knew that this would all unravel,
Speaker 1: that the fraud and the waste and all the money
Speaker 1: that we've pointed to the homeless problem as taxpayers, that
Speaker 1: this was gonna come to some sort of big deal,
Speaker 1: big snowball rolling down the mountain.
Speaker 3: Yeah.
Speaker 2: And the new US Attorney Bill A Sale says California
Speaker 2: spent more than twenty four billion dollars over the last
Speaker 2: five years to address homelessness, but officials have been unable
Speaker 2: to account for all of the expenditures and outcomes, and
Speaker 2: the homeless crisis has only gotten worse.
Speaker 1: So good, I'm glad people are looking into this. I
Speaker 1: don't care if they're doing it for their own political advancement.
Speaker 1: Just find out where this money is going and who
Speaker 1: and who it's going to.
Speaker 2: Leno's Law is moving its way through Sacramento. Jay Leno,
Speaker 2: of course, famous auto enthusiast and longtime talk show host
Speaker 2: and comedian, he wants to see some smog checks eliminated
Speaker 2: for classic cars right now. Collect cars that are at
Speaker 2: least thirty five years old are currently exempt from portions
Speaker 2: of smog test, but this new bill introduced by Senator
Speaker 2: Shannon Grove would do away with the acquirement requirement for
Speaker 2: vehicles to be tested biennially or when transferred to a
Speaker 2: new owner. This would be a collector motor vehicle owned
Speaker 2: by a collector that is used primarily in shows, parades,
Speaker 2: charitable functions, and historical historical exhibitions for display, maintenance and preservation,
Speaker 2: not primarily for transportation. According to Shannon Grove's office, Jay
Speaker 2: Leno's going to participate in the event today.
Speaker 1: A Venarian in Vegas is missing following a viral video
Speaker 1: that shows this guy kicking a horse's head. I saw
Speaker 1: that doctor Sean Frainer was paid to administer anesthesic anesthesi
Speaker 1: anesthesic anesthetic.
Speaker 3: Anesthetic that was painful.
Speaker 1: I'm sorry you needed anesthetic to get through it. Shots
Speaker 1: for some horses at a a property in Pahrump.
Speaker 3: Is that where the all the hookers are. I think
Speaker 3: there are some there, let's see.
Speaker 1: Shaana gonzalez Is, the property owner, said she used this
Speaker 1: vet services since August twenty twenty four, but was shocked
Speaker 1: at what she heard as she walked back from the
Speaker 1: chicken coop. She said she heard, I heard my mother yell,
Speaker 1: oh my god, he just kicked him. Runs to her
Speaker 1: mother's window, looks out, but doesn't see anything but the
Speaker 1: young colt struggling to breathe. Oh my god, mom, he's choking.
Speaker 3: She said.
Speaker 1: He wrapped the horse around his neck three times and
Speaker 1: he kicked him in the head.
Speaker 2: Explain what the guy was doing. The video was shared online.
Speaker 2: It's not this spurt to post from him, he said.
Speaker 2: I did not blatantly haul off and kick this horse
Speaker 2: as it appears in the video.
Speaker 3: That was not my intention.
Speaker 2: It was done simply to get the horse in a
Speaker 2: better position so that he could breathe and get up
Speaker 2: and move, so I could so I could again try
Speaker 2: who a nestetize.
Speaker 1: Anyway, he's nowhere to be found, because well, you can't
Speaker 1: just go kicking horses in the head.
Speaker 3: People are going to come after you. That's right. We
Speaker 3: got this story about the woman found alive in the
Speaker 3: in the woods.
Speaker 1: Oh, the Michigan woman who like lived off the land
Speaker 1: for a few days.
Speaker 3: I could do that.
Speaker 1: I love those stories.
Speaker 3: You could, I think. So, you know, your outfit's great, right,
Speaker 3: stop it?
Speaker 1: Okay, it's only because it's totally fine that it's funny
Speaker 1: that I made a joke about it, is it?
Speaker 3: Because like if if it's out of the Gary will continue.
Speaker 4: You're listening to Gary and Shannon on demand from KFI
Speaker 4: AM six forty.
Speaker 3: It's like such a bro's bro Oh yeah, you know,
Speaker 3: high fives.
Speaker 4: All.
Speaker 1: Yeah, we're talking about love on the spectrum. And I
Speaker 1: was telling Gary that the more I watch it, the
Speaker 1: more it feeds into my spectrum tendencies.
Speaker 2: It'll get in there, it does, it'll worm around that head.
Speaker 2: Trump and his tariffs have taking a bull stock market.
Speaker 2: They said that they are now on the precipice of
Speaker 2: turning into a bear market faster than any president has
Speaker 2: overseen in modern history.
Speaker 3: We will see how that goes.
Speaker 2: The Dow Jones Industrial Average is down about four hundred
Speaker 2: and eleven points right now.
Speaker 3: Nasdaq has slipped a little more.
Speaker 2: It's down about two percent, as is the NASDAC and gold,
Speaker 2: sorry oil prices. Oil prices have now slipped below sixty
Speaker 2: dollars below fifty nine dollars a barrel for the first
Speaker 2: time in a long time.
Speaker 1: The IRS is agreeing to help ICE find illegal immigrants
Speaker 1: by sharing information with the agency. Court documents show the
Speaker 1: IRS will provide the Department of Homeland Security with information
Speaker 1: for migrants who are either under federal investigation or are
Speaker 1: already facing deportation. But what a slippery slope the IRS
Speaker 1: had worn the Trump administration. The plan to use it
Speaker 1: for information could be illegal, certainly if it's information where
Speaker 1: and I'm no immigration attorney, but certainly or an attorney
Speaker 1: at all, But certainly if it's somebody who's not under
Speaker 1: federal investigation or not already facing deportation. And even then
Speaker 1: that's that's a dicey line to dance. Yeah, I'm surprised
Speaker 1: that's not getting more attention. Would you like your jeopardy question?
Speaker 1: We could do that, Okay, what kind of animals do
Speaker 1: you like? And what kind of animals are your least favorite?
Speaker 3: Just kidding, I'll tell you which was. I don't like
Speaker 3: I don't like porcupines, I don't like fevers, I don't
Speaker 3: go on what don't you like? I don't like spiders.
Speaker 3: You don't like spiders. I don't like spiders. And I
Speaker 3: don't like an animal that I.
Speaker 1: Don't like some spiders and a steaks. And I don't
Speaker 1: like rats, but I used to not like rats more
Speaker 1: and I like them now because I think there's one
Speaker 1: that lives in my house.
Speaker 3: I don't like to be surprised by animals.
Speaker 1: I don't either animals I don't like, I like all
Speaker 1: the other I don't like to be surprised by animals either.
Speaker 1: Sometimes I think about if there was a bear in
Speaker 1: the backyard, how i'd like it, but that if it
Speaker 1: surprised me, I wouldn't like it.
Speaker 3: Got that far off. It's pretty close.
Speaker 1: Women right on wrig Ver six hundred dollars right answer.
Speaker 1: Things were hopping for this author after she published The
Speaker 1: Tale of Peter Rabbit.
Speaker 3: Who is Beatrix Potter? Good job? Your mother would be proud.
Speaker 3: Nancy Bloomquist was missing. Yes.
Speaker 2: Nancy Bloomquist was last seen at the Little River Casino,
Speaker 2: about ninety five miles north of Norton Shores in Michigan
Speaker 2: Thursday night. Few hours for nightfall, she decided she was
Speaker 2: gonna drive home.
Speaker 3: Wait, she had a couple of cocks. I don't know,
Speaker 3: I don't know. In my story, she has gone.
Speaker 2: Nancy said, oh my gosh, it's time to go home.
Speaker 3: She's from the South. Oh gosh, got her. Oh boy,
Speaker 3: it's time dog go home.
Speaker 1: She's having like Val Kilmer a little bit in the
Speaker 1: first go.
Speaker 2: She's so, she jumps in her twenty twenty four gmc
Speaker 2: terrain not to brag, and drives home. However, she gets
Speaker 2: lost on a private road and her almost brand new
Speaker 2: vehicle becomes disabled.
Speaker 3: Oh yeah, what am I gonna do now? Oh boy?
Speaker 2: So overnight Thursday into Friday again Michigan rain and freezing temperatures.
Speaker 2: In fact, in the stretch between Thursday and Sunday, a
Speaker 2: front produced rain and light snow. Overnight lows dipped into
Speaker 2: the twenty degree area.
Speaker 3: Twenty two was the low.
Speaker 1: You see Nancy's driver license picture. No, I'm a sturdy woman.
Speaker 1: She looks exactly like she sounds in your story. So
Speaker 1: the Mason County Sheriff's office is I think a linebacker,
Speaker 1: but short blonde bob.
Speaker 3: Okay, all right, that is not what I was expecting.
Speaker 3: But linebacker.
Speaker 2: But Nancy is a lady Nancy fled the vehicle after
Speaker 2: it erupted in flames, but tried to return because she
Speaker 2: had apparently left her phone inside. Oh crap and a half,
Speaker 2: I forgot my phone. So the Mason County sheriff said
Speaker 2: the SUV may have ignited after its engine was exhausted
Speaker 2: in an effort to get traction off road in the
Speaker 2: weather that the sheriff described as life threatening. Nancy got
Speaker 2: lost as she was trying to return to her car,
Speaker 2: and because of the rain and the debilitating cold, her
Speaker 2: body locked up.
Speaker 3: Maybe it was because she was.
Speaker 2: A backup tight end for the University of Michigan for
Speaker 2: three and a half years. But she sought shelter next
Speaker 2: to a tree that she pushed over. Sorry the tree
Speaker 2: had already fallen, But I.
Speaker 1: Don't think backups are that big.
Speaker 2: She found college level maybe not, but it's Division one.
Speaker 2: I mean, Michigan's got a good program. She sought shelter
Speaker 2: next to a downtree. She apparently stayed there for three
Speaker 2: days until she was discovered by a search team on
Speaker 2: Sunday after a drone spotter. Sheriff said that Nancy was conscious.
Speaker 2: She spoke to arriving deputies where the hell have you
Speaker 2: guys been?
Speaker 1: She said she had eaten three of the town's children.
Speaker 3: She was taken to hospital and treated for exposure.
Speaker 1: I love stories where people just survive, Like whether it's
Speaker 1: a car crash and they're just in like a ravine
Speaker 1: for the year five or seven days, or on a
Speaker 1: heke and they get lost in drink water. It's just
Speaker 1: it's amazing. Remember that woman who was in that crash
Speaker 1: and she like used her sweatshirt to like soak up
Speaker 1: the water and then drink from it. I just get
Speaker 1: I mean, I give up sometimes inside my home, next
Speaker 1: to the refrigerator.
Speaker 2: Sometimes on the two ten when traffic slows down, just whatever,
Speaker 2: take me.
Speaker 3: Come on, Lord, where's the asteroid? Bring on?
Speaker 1: My dinosaur wears my t rex?
Speaker 3: Hey, crap and a half. I like that.
Speaker 1: Saving that's saying, oh, crap and a half.
Speaker 3: Well, that was Nancy's. Yeah, I like that.
Speaker 2: I would never think of something like that. Nancy, She's oh, yeah,
Speaker 2: she did. Oh crap and a half. That is a
Speaker 2: dude wearing a wig, isn't it.
Speaker 1: I don't know what Nancy's journey is back all right,
Speaker 1: but I did do an extensive Google search with that
Speaker 1: question in mind came out with nothing because you know what,
Speaker 1: Nancy Bloomquist, she's the kind of person who doesn't like
Speaker 1: to make a big deal out of it. If Nancy,
Speaker 1: if Nancy was born George, we would never know because
Speaker 1: she doesn't like to make a big deal out of it.
Speaker 1: She's like, give me my wig and let me get
Speaker 1: lost in the woods.
Speaker 2: The True Crime Tuesday story that we have is an
Speaker 2: interesting look at how technology has changed criminal investigations.
Speaker 3: We'll talk about how.
Speaker 2: AI is making Oh sorry here, No, No, that's fine,
Speaker 2: everything's fine.
Speaker 3: I don't hear it. I didn't hear that at all.
Speaker 3: Were you clicking your pen the whole time?
Speaker 1: Does that bother you all the time? Is that one
Speaker 1: of your triggers? No?
Speaker 3: In fact, I don't think I ever hear I do
Speaker 3: it too.
Speaker 1: Unfortunately, I know that I put my headphones back on.
Speaker 4: You're listening to Gary and Shannon on demand from KFI
Speaker 4: AM six forty.
Speaker 2: Some foreign leaders have been frustrated, although administration if A
Speaker 2: have now said that there phones have arguably been ringing
Speaker 2: off the hook. Where other countries have come in and
Speaker 2: asked to negotiate so that we can avoid a worldwide
Speaker 2: trade war. That could erupt, but as of right now,
Speaker 2: China is still the biggest player in all of this.
Speaker 2: Trump administration is also touting a Supreme Court ruling that
Speaker 2: will allow it to resume deportations under the Alien Enemies
Speaker 2: Act as a major victory, but pretty far from over.
Speaker 2: The divided court found that Trump can use the eighteenth
Speaker 2: century wartime law to deport Venezuelan migrants accused of being
Speaker 2: gang members to this prison at El Salvator El Salvador.
Speaker 2: That is, the justice has also decided people accused of
Speaker 2: being members of the trendy Aragua gang do have to
Speaker 2: get a chance to challenge their removals, finding that their
Speaker 2: lawyers said was an important victory. In all of this.
Speaker 2: We've talked about true crime stories a lot. We talk
Speaker 2: about we talk about different ways that cases can be
Speaker 2: built against people. One of those main ways for the
Speaker 2: last one hundred years or so the cases have been
Speaker 2: built against criminals is fingerprints.
Speaker 1: That's where we start True Crime Tuesday.
Speaker 5: The story is true, sounds true?
Speaker 3: No, it sounds made up. I don't know. Garry and
Speaker 3: Shannon present True Crime.
Speaker 2: The science of fingerprinting. The pattern matching of fingerprinting started
Speaker 2: back in the eighteen seventies, a guy named Henry Folds,
Speaker 2: a Scottish medical missionary who was serving in Japan, started
Speaker 2: thinking about fingerprints, and while he was on an archaeological
Speaker 2: expedition with a friend, he noticed that there was a
Speaker 2: print on a clay relic and he reminded him of
Speaker 2: some stories he'd heard about merchants, Chinese merchants who were
Speaker 2: using fingerprints to sign contracts, And he said, our fingerprints
Speaker 2: really as unique as we think they are.
Speaker 1: So he started recording fingerprints using a method called nature printings.
Speaker 1: Botanists use this to document plant leaves. You may have
Speaker 1: seen this. So he smeared thin coats of printer's ink
Speaker 1: over a tin plate and carefully pressed the finger print
Speaker 1: of a fingertip of a volunteer onto the blotch, then
Speaker 1: transfer their ink finger onto a piece of paper. Now,
Speaker 1: not much has changed since good old Henry's experience in
Speaker 1: the nineteen seventies or eighteen seventies. Excuse me, that sounds
Speaker 1: exactly like they do it, at least in the shows
Speaker 1: that the police departments.
Speaker 2: Sure, I mean, now, if you need to get fingerprinted,
Speaker 2: they can do. You know, you throw your thumb print
Speaker 2: down on a glass and they can scan the fingerprint
Speaker 2: that way. That's that's probably the most advanced that they've
Speaker 2: gotten when it comes to fingerprints. But over the next
Speaker 2: decade or so, again we're talking about the eighteen seventies
Speaker 2: eighteen eighties, he made thousands of these prints. He even
Speaker 2: enlisted the staff of a hospital in Tokyo. Each fingerprint
Speaker 2: that he captured appeared to be unique, and this is
Speaker 2: probably just as important. It maintained its distinct pattern over time,
Speaker 2: so as a kid got older, that pattern of loops
Speaker 2: and whirls in that individual fingerprint never changed.
Speaker 1: So his extensive and detailed collection of these fingerprints would
Speaker 1: become a key piece of evidence. Tokyo police was investigating
Speaker 1: a break in at the same hospital where he worked,
Speaker 1: and authorities identified one of Henry's own employees as a suspect,
Speaker 1: and had even discovered sooty fingerprints that the intruder had
Speaker 1: left on a wall. So that employee, it turned out,
Speaker 1: had provided his fingerprints for Henri's study earlier. And when
Speaker 1: the police compared the ones from the wall to the
Speaker 1: suspects and so they have the wrong person.
Speaker 3: The Prince not a match.
Speaker 2: Well now, and this was exciting for the doctor. His
Speaker 2: collection could be used to help solve crimes. Bloody finger
Speaker 2: marks or impressions on clay or glass, whatever, they may
Speaker 2: lead to the scientific identification of criminals. This is a
Speaker 2: letter that he wrote published in the journal Nature way
Speaker 2: back when on the skin furrows of the hand. If
Speaker 2: you're interested, you can go back and look it up.
Speaker 2: But he said, there can be no doubt as to
Speaker 2: the advantage of having besides their photographs, a Nature copy
Speaker 2: of the forever unchanging finger furrows of important criminals. So
Speaker 2: he asked other scientists. He thought that this was going
Speaker 2: to be a major breakthrough and asked other scientists to
Speaker 2: help publicize his findings. Sent observations and classification system for
Speaker 2: fingerprints too, you know a guy named Charles Darwin. Charles
Speaker 2: Darwin then shared it with his cousin, the mathematics mathematician
Speaker 2: Francis Galton, and he saw their potential of fingerprints to
Speaker 2: help solve crimes. He decided to help develop a system
Speaker 2: to classify and to analyze them.
Speaker 1: Birds of a feather, kids, this is why you should
Speaker 1: have friends that are smart, because then you too will
Speaker 1: be smart. He was the only person Henry studying fingerprints
Speaker 1: around the same time, there was William Herschel. He was
Speaker 1: a German born British astronomer. Astronomerscuse me, working in India
Speaker 1: had long kept fingerprints, records of them, began using them
Speaker 1: to seal contracts. And then Galton the mathematician collected the
Speaker 1: findings of fields in Herschel and in eighteen ninety two
Speaker 1: published his own classification system. So anyway, that was a hit,
Speaker 1: and then it became widely publicized that this was a thing.
Speaker 2: There are some problems with fingerprinting, However, the loops and
Speaker 2: the whirls and the arches can shrink the pool of
Speaker 2: possible matches to somebody, but they're not nearly enough for
Speaker 2: an identification for some people. The second level of analysis
Speaker 2: includes the ridges of a print.
Speaker 1: For every partial fingerprint found at a crime scene, you
Speaker 1: can find an expert witness that will take the sand
Speaker 1: and tell you that that fingerprint is not reliable. Well, now,
Speaker 1: not only will you have the advice of whatever expert
Speaker 1: witness was handsomely paid by the defense to take the
Speaker 1: stand and tell you that fingerprint evidence was not reliable.
Speaker 1: AI has stepped into the conversation and says that fingerprints
Speaker 1: are not unique. How will this affect cases in the
Speaker 1: future and retroactively, Perhaps that will be up next.
Speaker 4: You're listening to Gary and Shannon on demand from KFI
Speaker 4: AM six forty stories.
Speaker 1: We're following for you today, of course, Keeping and I
Speaker 1: on the stock market. US stocks dove today after a
Speaker 1: second day reversals. Good morning, and then fear at the
Speaker 1: close because we still don't or Wall Street still doesn't
Speaker 1: have any idea what to make of what's going on
Speaker 1: with tariffs. Yesterday we kind of saw a turnaround after
Speaker 1: their rumor came out that the administration was thinking about a.
Speaker 3: Pause in the tariffs.
Speaker 1: China came back hard hitting yesterday into this morning. Now
Speaker 1: we know about the fight between Peter Navarro, the trade
Speaker 1: advisor to Trump, and Elon Musk. So there's a lot
Speaker 1: of uncertainty, and we know one thing for sure, the
Speaker 1: stock market does not enjoy uncertainty.
Speaker 2: Sports wise, Angels are in Tampa to take on the Rays.
Speaker 2: Four or five first pitch today. Dodgers lost to the
Speaker 2: Nationals last night, six to four, but they will play
Speaker 2: again tonight three forty five.
Speaker 3: First pitch.
Speaker 5: So hey, Gary and Shannon is Karen, Yes, the clicking
Speaker 5: of the pen super annoying.
Speaker 3: And that's all I heard.
Speaker 1: I have annoyed.
Speaker 3: It was Gary was saying.
Speaker 2: And then also, Gary, can you talk like you're drunk
Speaker 2: all the time.
Speaker 3: It's great.
Speaker 1: It kills me and just makes my day better. Okay, okay,
Speaker 1: they that is.
Speaker 2: My wife says that she can never tell, she can
Speaker 2: never tell when I've had too much a drink ever,
Speaker 2: vocally like that.
Speaker 3: I don't. I don't slur my words.
Speaker 1: Or part of it is that you don't speak.
Speaker 2: That's part of it, because I'm super self conscious of that.
Speaker 2: If I ever start to feel like, you know what,
Speaker 2: that was probably one too many and I'm going to
Speaker 2: start slurring my words here, I'll use words with hard consonants,
Speaker 2: and that's it. You don't start with a year or
Speaker 2: a You got to start with a or a.
Speaker 1: Or just knowing that alone is you're already a head
Speaker 1: of the game.
Speaker 3: The game fingerprint. I was just going to give you that. Oh,
Speaker 3: thank you. I knew a lot about fingerprints that you
Speaker 3: just educated me. Thank you so much, Thank you so much.
Speaker 2: Buckle up, Buttercup, because it's gonna to get a little
Speaker 2: bit more interesting. So we're talking about fingerprint analysis for
Speaker 2: true crime Tuesday right. Long been one of the benchmarks
Speaker 2: of a crime scene investigation is looking for fingerprints, and
Speaker 2: there has been a belief since fingerprinting began basically one
Speaker 2: hundred and fifty years ago, that individuals you and I,
Speaker 2: on our individual fingers have different fingerprints. For example, if
Speaker 2: I leave my thumb print on a glass and they
Speaker 2: are searching for my index finger print, that those things
Speaker 2: will not match.
Speaker 3: So that would be.
Speaker 2: You could not pin me at the crime scene because
Speaker 2: my thumb print wouldn't match my index fingerprint. So an
Speaker 2: undergraduate senior at Columbia Engineering named Gabe gwo put together
Speaker 2: a study where he fed into this thing about sixty
Speaker 2: into a database about sixty thousand fingerprints, and there were
Speaker 2: certain pairs of fingerprints that did belong to the same
Speaker 2: person from different fingers, but that they belonged to the
Speaker 2: same person. The AI system was able to tell at
Speaker 2: a surprisingly high rate when prints that looked different actually
Speaker 2: came from the same person, so that you would be
Speaker 2: able to tell from a thumb print what the index
Speaker 2: print looked like or which of those was the match
Speaker 2: from the same person. And that's just with sixty thousand fingerprints.
Speaker 2: They're saying now imagine how specific and how accurate it
Speaker 2: would be if it had access to millions of fingerprints
Speaker 2: and not just tens of thousands.
Speaker 1: This is a problem when it comes to the peer
Speaker 1: review process. This was rejected this project by a well
Speaker 1: established forensics journal did not accept the suggestion that different
Speaker 1: fingers might produce prints with shared characteristics. The paper was
Speaker 1: turned away again when it went to get a second opinion.
Speaker 1: So to speak, this is more than one hundred years
Speaker 1: of accepted practice that you're trying to disrupt and overturn.
Speaker 1: But it was finally recognized. The study was and published
Speaker 1: and the peer reviewed journal Science Advances. So reticent to
Speaker 1: change the scientific community is, but nevertheless open to the possibility.
Speaker 1: It's funny that the scientific community would push back on
Speaker 1: something like this.
Speaker 3: They don't like to be proven wrong.
Speaker 2: But that's the whole point of science is to then
Speaker 2: ask the questions of is this right? Does this work?
Speaker 2: Can we make it better? All of those things right?
Speaker 2: And if I die is going to help us do that,
Speaker 2: then that's that's probably a good use of it.
Speaker 1: I wonder what you would say about this if you
Speaker 1: were drunk.
Speaker 2: I would say I would say that the if you
Speaker 2: if you get your stop looking at my fingers.
Speaker 3: I don't know what I would say.
Speaker 1: Drunk, Well, you're your fake drunk person? Is not you drunk,
Speaker 1: it's a different person. No, I like him. He's fun
Speaker 1: I'm smarter, you're smarter?
Speaker 4: Yes?
Speaker 3: Or is that the drunk guy saying he's smarter, I'm smarter?
Speaker 3: Why is that so funny?
Speaker 4: I don't know.
Speaker 2: John Cobelt always coming up next. We'll see you tomorrow.
Speaker 2: Stay drive everybody, blessings. You've been listening to The Gary
Speaker 2: and Shannon Show, you can always hear us live on
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Speaker 2: ap