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August 14, 2025 32 mins
Dodgers Fall, Balboa Island Yacht Club Kids. AI Predicting Future Killers.
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Speaker 1 (00:00):
This is Gary and Shannon, and you're listening to kf
I AM six forty, the Gary and Shannon Show on
demand on the iHeartRadio app. It was like, boom shake
jack it, come on, come on say jack it you
know that one. Damn, but I do like that.

Speaker 2 (00:17):
You didn't You didn't fail her.

Speaker 1 (00:19):
No, you didn't fail me, but it was it was.

Speaker 2 (00:21):
She just wants you to do better.

Speaker 1 (00:23):
It was less two thousand and seven, six and more
nineteen ninety three. That's what's scary going if you want
to get him up and shaken it. It's that early.

Speaker 2 (00:34):
Nineties, early to mid nineties rap light yeah, pop rap
right pop rap. It may not have been zac Efron. Hey,
Gary and Shannon, Hey Shannon. That may not have been
Zac Effron.

Speaker 1 (00:47):
It might have been his brother Dylan.

Speaker 2 (00:50):
You need to look his picture up.

Speaker 1 (00:51):
Looking it up. Have a good day. Love you guys,
Thank you, by bye bye.

Speaker 2 (00:55):
Bye, thank you. Can you guys again, we're thinking every.

Speaker 1 (00:58):
No, definitely not Dylan, not Dylan. No, it was Zach Effron.
It was tanner than Dylan.

Speaker 2 (01:06):
Okay, you guys again, we're thinking everything just like overthinking.

Speaker 3 (01:11):
It's Gavin is it's joking around he's just parroting Trump.

Speaker 2 (01:16):
It's just a joke.

Speaker 1 (01:18):
Come on, he's just I know he is Trump, I
know he is, and we know he's parroting him. We
know the office is parroting him. If you look at
the tweet they put out about this this press availability,
it's parroting him. But I just don't think it's funny.
Is it funny? Do you think it's funny? I guess

(01:38):
or is it just not funny? It's just like ah,
but yes.

Speaker 2 (01:41):
Yes, it points out how insane some of the social
media posts the president puts up are.

Speaker 1 (01:47):
But don't we that?

Speaker 2 (01:48):
But we know that.

Speaker 1 (01:49):
Yeah, if you're if you're.

Speaker 2 (01:52):
Just mimicking that same thing back. If you're arguing with
somebody and you think they're going crazy and and you
try to imitate their crazy voice back to them, you're
getting nowhere. You're not solving an argument. You know where.

Speaker 1 (02:07):
That does work though, And I was giving this advice
as a youth. If you come across a crazy person
on the street, like, legit crazy, if you act crazier
than them, they won't bother you, and it works. It
totally works. Like if you see someone who's like, eh,
mumble into themselves. If you start mumbling to yourself and

(02:27):
maybe shake a little bit, give yourself a little seizure,
and then start running and then walking, and then maybe
walking backwards and then mumbling louder, they stay the hell
away from you.

Speaker 2 (02:37):
It works with babies. Oh really, if baby starts throwing
a tantrum and then you throw a tantrum because they're
throwing a tantrum, it works. Really. Yeah, it's weird because
they're like, what's wrong with you? It's the same it's
the same exact mechanism. It just works with children. Wow,
and we're not I'm hoping. I'm hoping that the people

(02:58):
that we elect as leaders are not just chill.

Speaker 3 (03:00):
Oh.

Speaker 2 (03:00):
Yes, that's what it sounds like, is they're just they're DeVault.

Speaker 1 (03:03):
Goes back to our conversation I believe last week, where
people don't grow up, they're just getting older. They're the
same people.

Speaker 2 (03:10):
Oh that's interesting. Yes, that is probably bitch.

Speaker 4 (03:14):
Time for Dodger bageball somewhere.

Speaker 2 (03:19):
Vin, I don't know what's going on.

Speaker 1 (03:22):
With you, but well it's it's well, leave Vin out
of this.

Speaker 2 (03:26):
Second.

Speaker 1 (03:26):
Of all, the vaunted bullpen has turned out to be
a disaster area. And yes, there are injuries. Injuries abound,
but they were nine games up in first place and
have squandered that. The stat I read as they've dropped
twenty of the last thirty three. What a skid. That's

(03:48):
not a skid. That's like a it's falling down the
entire mountain. You're at the top of the mountain, you're
at Mount Whitney, and you're going to take about six
hours to get.

Speaker 2 (03:57):
Down skid marks and gird on your bottom. Dodgers are
in second place, a full game now behind the Padres,
since the Padres whooped up on the Giants yesterday.

Speaker 1 (04:08):
Now tomorrow the Dodgers come or the Padres come to
Dodger Stadium.

Speaker 2 (04:14):
That's a great angry.

Speaker 1 (04:15):
It's gonna feel like October up in here, I hope.

Speaker 2 (04:18):
So listen.

Speaker 1 (04:19):
It should.

Speaker 2 (04:20):
It's mid August. Usually these games mean absolute nothing. It's
mid August. This is what base This is what the
Dodgers and the Padres need. This is what Major League
Baseball needs. Is a team, a couple of teams like
this battling for first place. Because you don't have it
in any other division right now, you don't have anything
that close. Houston is a game above Seattle, but it's Houston.

(04:43):
They always win the division.

Speaker 1 (04:44):
If you're agnostic, jump on that. Brewers train, Brewers, best
team in baseball. Who doesn't like an underdog from a
middle market?

Speaker 2 (04:51):
Yeah? And those uniforms I like them classic, Yeah, just
classic blue and yellow.

Speaker 1 (04:58):
Tomorrow the Dodgers do take on the padres your stadium,
first pitch at seven. Listen to all Dodger games on
AM five to seventy LA Sports live from the Gallpin
Motors and Broadcast Booth, and stream all Dodgers games in
HD on the iHeartRadio app. Keyword AM five to seventy
LA Sports. I heard Rick Monday talking with David Vasse yesterday.
Apparently David Vasse would like to learn to play the drums,

(05:21):
and Rick Monday's wife actually plays the drums, has an
entire drum set as well. Fun fact you'll learn listening
to Dodger pregame's Rick Monday's guy. One of those voices
that you don't get anymore, you don't get on the radio.
He may be the last great voice on the radio.

Speaker 2 (05:43):
He's He's a guy you and you're talking about the
tone of voice.

Speaker 1 (05:47):
The tone of voice, the delivery, his stories, will.

Speaker 2 (05:51):
Remind me of of fantasy camp stuff and back in
the old days minor league baseball stuff, because stories were
what made the day go bye when you're watching minor
league baseball game was the stories. And he's full of them.

Speaker 1 (06:06):
Right, I mean, don't sleep on David Vasse. It's not
what I'm trying to say. He's building as a gem
in his own right. But he has a usable library.
He is a youth.

Speaker 2 (06:16):
But do you want to do the yacht club story
when we come back?

Speaker 1 (06:22):
Yeah, you know, we never got to what were we
your pilot? We're fing around about what were we.

Speaker 2 (06:27):
Even talking about before we get to drinking?

Speaker 1 (06:31):
Drinking?

Speaker 2 (06:32):
Ah?

Speaker 1 (06:32):
Okay, well I want to do the pilot story.

Speaker 2 (06:36):
Got it?

Speaker 1 (06:37):
FM kids. We're gonna talk about them yacht club kids.
And I wanted to talk about this story because I
thought I would know your reaction. And I think I
just got it. Okay, so we'll do it later pilot
story or the the kids.

Speaker 2 (06:49):
Okay, got it? I think you hate those kids, the
yacht club yacht club kids story?

Speaker 1 (06:53):
Am I right? Do you hate those kids?

Speaker 2 (06:55):
Not gonna answer. You're gonna have to figure it out.
We are still standing by President Trump is expected to
make some real marks from the Oval Office today ahead
of tomorrow's big summit with Vladimir Putin. Gavin Newsom is
expected to speak on his redistricting plan slash scheme that
he's got cooking up. We'll talk about that a little
bit later in the show as well.

Speaker 1 (07:14):
Were you gonna have a whiskey or no?

Speaker 2 (07:17):
No? Why?

Speaker 1 (07:18):
Oh?

Speaker 2 (07:19):
Because I had said something about drinking on a Thursday.

Speaker 1 (07:22):
Yeah, no, okay, because we do have some in the office.

Speaker 2 (07:25):
I know it's been there for years and there are
a really long time it goes to bay, Right, it's
going to turn into water.

Speaker 1 (07:31):
Does it really? I think whiskey is going to last forever?

Speaker 2 (07:34):
Right, it'll evaporate if you leave it on the top.

Speaker 1 (07:37):
You've go to that off. We're not monsters.

Speaker 2 (07:40):
Oh, I've seen weird things in that office.

Speaker 1 (07:42):
Does whiskey last?

Speaker 2 (07:45):
Come on? Come on?

Speaker 1 (07:47):
An open bottle of whiskey can maintain its quality for
months or even years if stored properly. But we've got
Jack Daniels. It's like the Twinkie of whiskeys, right, Like
that's doesn't bad.

Speaker 2 (07:57):
There's also twinkies in the in the snack draw. Now
stop it go down there?

Speaker 1 (08:01):
Are you serious?

Speaker 2 (08:02):
Cupcakes?

Speaker 1 (08:03):
Ding Dongs?

Speaker 2 (08:04):
Not ding dongs?

Speaker 1 (08:05):
Cupcakes?

Speaker 2 (08:06):
This cupcakes?

Speaker 1 (08:07):
What the cupcakes called cupcakes? Hosts, No, that's a different thing.
They're just cupcakes. Why did the cupcakes have a name?
Why didn't the cupcakes get a name? Is their cupcakes?

Speaker 2 (08:19):
What has the show become? I don't know if you
heard the last forty seconds.

Speaker 1 (08:24):
But.

Speaker 4 (08:27):
You're listening to Gary and Shannon on demand from KFI
AM six forty.

Speaker 1 (08:33):
Okay, so listen to Ethan's day break. Breakfast for Ethan
consists of bread and a teaspoon of butter. For lunch
and dinner, it's beans, lentil, soup or pasta. That sounds gassy.

Speaker 2 (08:47):
He's alone, it's not like.

Speaker 1 (08:49):
Yes, he lives in a single room in a Chilean
Air Force barracks WI FI spotty at best. Ethan has
only been outside for an hour over the last six weeks.
He's also on that diet, has lost twenty pounds. He
is twenty. He's an American pilot. He is a content creator,

(09:11):
and he's been trapped at this Chilean base on King
George Island off Antarctica since June twenty eighth. Apparently Chilean
authorities detained him there and accused him of landing his
single engine Cestna there without authorization. However, we not heard
about this.

Speaker 2 (09:31):
This week a judge approved the deal in which they
agreed to dismiss the case if Ethan pays thirty thousand
dollars to a children's cancer charity and does not re
enter Chile for the next three years. But how's he
going to get off the island.

Speaker 1 (09:45):
It's winter in the Southern Hemisphere. The island is a crusted,
windswept landscape of ice and snow, temperatures well below freezing,
frequent snow showers. You just can't pick up and fly
to South America over the Drake that is the treacherous
body of water between Chile and Antarctica, known for rough

(10:05):
weather and poor visibility.

Speaker 2 (10:07):
And there are commercial flights in and out, but they
don't fly in the winter, so he's going to have
to wait until the winter is over before he can
hop a ride on a commercial plate commercial flight.

Speaker 1 (10:17):
He cannot fly his own Sesna off the island because
it has expired life rafts and life jackets and lacks
an anti icing system, and they don't know if he'll
have enough fuel, only they don't have fuel for his
sesna there. He doesn't want to leave without his sesna.
He believes he could reach South America that he does
have enough fuel. So there's a standoff here. And he's

(10:40):
been sending spending ninety nine percent of his time alone
in his room, downloading books like the Science Fiction Foundation
series by Isaac Asmov.

Speaker 2 (10:52):
Which is if I'm not mistaken about a group of
people on a remote planet, yeah, all by themselves. He
should he should do Project ail Mary, because that's also
someone trying to save humanity very remotely.

Speaker 1 (11:05):
He had been on a mission to fly to all
seven continents, hoping to raise one million for cancer research.
That sounds like a drop in the bucket, doesn't it.
Documenting his travels on Instagram, where he has one point
four million followers. He began the trip in Memphis in
May of last year. The Instagram chronicles misadventures like engine troubles, storms, detention,

(11:28):
and me and mar as well as happy moments like
posing next to the pyramids in Egypt.

Speaker 2 (11:35):
Antarctica was the only continent that he had not landed
on when he took off from Punta Arenas back in June.
At the end of June, was planning to fly to
Ushaya in southern Argentina. Instead, he landed hundreds of miles
away at Teniente Rodolfo marsh Martin Airport at Chilean Airfield
on that King George Island, and that's where they detained

(11:57):
him and accused him of submitting a false fight flight plan.
They said he never intended to take the way to
Ushaya and instead intended to land without authorization, and they
said that the actions jeopardized public safety.

Speaker 1 (12:15):
He cannot leave the base without an escort. He does
not speak much Spanish. His Chilean hosts have been teaching
him the language, but mostly swear words. Come on, Monchakula,
You're supposed to say something, not just let that just
sit there so I get kicked off.

Speaker 2 (12:34):
The ratio Wi Fi can be unreliable, he said. It's
hard to communicate with family in the United States. When
he turned twenty last month, he was all alone, but
the Chilean host on the base brought him pieces of
chocolate and a small makeshift cake. It doesn't sound like
it's too awful.

Speaker 1 (12:48):
It doesn't. If there's cake and chocolate, you're fine.

Speaker 2 (12:51):
And the idea of you know toast toast for breakfast.

Speaker 1 (12:57):
That's okay, toast sounds great. At a piece of toast yesterday,
it was delightful.

Speaker 2 (13:01):
Beans.

Speaker 1 (13:02):
I had this, by the way, you know that sourdough
San Louis sourdough. Yes, I've had that loaf of sourdough
and refrigerator for like a year.

Speaker 2 (13:11):
That's not good.

Speaker 1 (13:12):
That's probably not bread. But I had a piece of
that toast yesterday. It tasted brand new. It tasted totally fine.

Speaker 2 (13:19):
Trader Joe's has an actual sandwich loaf of sourdough that.

Speaker 1 (13:22):
Is really good, isn't it. I've had that. It's that
one is dangerous because I'll just eat that loaf like
that loaf will enter the home and disappear within twenty
four hours into the home. I like the kind of
bread that is good, but you know better after it
sits for a year in the fridge, there's nothing wrong
with it. What do you mean now it's time to

(13:45):
let that bread go? It was fine yesterday. Why would
I let it go? There's like six pieces left. You're
gonna end up what founding a plane if you're not careful.
I'm fine, okay, all right, thank you for worrying about
my gut biome.

Speaker 2 (14:02):
Well, it's it's a it's need it needs some improvement.

Speaker 1 (14:05):
What check, it's fine.

Speaker 2 (14:08):
Uh, we will be talking.

Speaker 1 (14:10):
Oh, I'm so excited about this story the future killers,
about how AI can produce who's going to be a killer.

Speaker 2 (14:16):
We did this before. Speaking of Isaac Asimov, I think
it's an Isaac Asimov that sounds about it. I'll get
it right, I'll get it right. But Minority Report was
an old movie. Uh, based on the book obviously, but
an old movie with Tom Cruise that described just this
predicting future. Dick, thank you Philip Dick because he was

(14:38):
the guy who wrote I Robot.

Speaker 1 (14:39):
Philip K.

Speaker 2 (14:40):
Dick. Yes, important, phil Dick. Okay, if you want to
let us know what is in your brain, ad, you
can leave us a talkback message. When you're listening on
the app. There's a little red circle with a white
microphone in it, and you hit that little thing, it'll
leave us a messa. It's about thirty seconds. You got

(15:01):
to tell us what's on your mind. And then they
come right in here to the can't wait to the
computer right here, we'll play those as well.

Speaker 4 (15:11):
You're listening to Gary and Shannon on demand from KFI
AM six forty.

Speaker 1 (15:17):
There's day supposed to be buttoned up. We've got this
Russia summit going on, We've got Gavin Newsom's Dog and
Pony Show. We've got fire, we have Alaska escaping the
flood tons of important things to get to. And here
are you and I.

Speaker 2 (15:32):
Morons Morons, Hi, Gary and Shannon.

Speaker 3 (15:35):
This is David and Rancho Kukumonga and I watched Hunting
Wise the other night. Uh oh, And I would expect
Shannon to watch trash like that. But Gary, I'm deeply
disappointed in you. Thank you, thanks for letting me check
in by now.

Speaker 1 (15:50):
Wow, did I hear unconditional love? Like I expect her
to suck? But it's fine.

Speaker 2 (15:57):
So the whole plot of Minority Report movie from back
in the I want to say, early two thousands, maybe
ninety eight, ninety nine, something like that. People are arrested
based on a vision that a clairvoyant has about a
crime that has not yet been committed. And the little

(16:20):
bit there's three clairvoyants. It takes two out of the
three of them to see this image of you committing
a crime for the police to go out and arrest you.
The minority report refers to in one instance, it's just
one of the three who comes up with a face.
Does Tom Cruise as the police officer have the right

(16:41):
to make the arrest or. He's the one who's accused
of the crime and they're coming after him. The details
are sketchy, but it's that it's this science fiction y
kind of world of predicting crime in the future.

Speaker 1 (16:52):
Well now in twenty twenty five, it is a smart
algorithm making the prediction, analyzing your data to just whether
you have it in you to become a cold blooded killer.
There are no algorithms that can predict to a murder
will definitely take place, but computer programs are already being
used across the world to identify people or places at

(17:15):
a high risk of criminal activity. The UK government is
currently developing a murder prediction AI tool to identify those
at greatest risk of committing a homicide. Now I ask you, this,
is this just proactive profilers that exist in law enforcement
agencies now before AI, not that we're at a time

(17:37):
of before AI, but profilers that work for the FBI.
Let's just say that can go through profiles and tell
you who's most likely to become a killer or an offender,
or they can dig into different terrist cells and identify
leaders or you.

Speaker 2 (17:54):
Know what I mean, Well, do you mean are they
doing it? Are they just coming up with a profile
or they at specific people?

Speaker 1 (18:01):
I know they are doing that that there are people
who do that. Yeah, I'm just saying, is this the
AI version of those people?

Speaker 2 (18:07):
It sounds like it, But it sounds like what AI
is doing is taking the profile that it would develop
and then identifying individuals who would fit that profile. For example,
I mean, think about the traits, the mental traits that
are often associated with somebody who's going to commit a crime. Psychopathy,
of course, the dark triad psychopathy, narcissism, and machiavelianism, being

(18:31):
manipulative and exploitive, exploitative to get power, and all of
those traits come with a desire for more power, probably
better put as a desire for control over something. Plus
the selfishness that comes in manipulation, lack of empathy, all
of that.

Speaker 1 (18:50):
This is not a joke. Just raid state houses are
all over this country. Not a joke, not a joke.
I mean, listen to this hunger for power and control,
self fishness, manipulation, deception, lack of empathy. That's a politician
in many cases, or people who work in radio. Yeah,
but we don't have power or control. And if you
think you're going to get it in radio, you belong

(19:12):
in some sort of asylum institution.

Speaker 2 (19:15):
We all have some level of these traits, right, we all.
Clinical levels though, of narcissism and psychopathy are rare. They
say it's somewhere between one and five percent would have
some sort of narcissism and one percent of the population
would have psychopathy. The clinical levels of psychopathy, referred to

(19:36):
as an anti social personality disorder, are common among criminals,
including murderers. About fifteen to twenty five percent of male
prisoners in the United States are said to have anti
social personality disorder. So if you can develop a program
an algorithm that is able to weed out that antisocial

(20:01):
personality disorder and you identify some individual or individuals with
those disorders, and then you can also ascribe to them,
and again it would be a really soft science. But
the narcissism, the machiavellianism, if you could do that, you're
looking at someone who has a high potential to commit

(20:23):
crime or more than average potential to commit a crime.

Speaker 1 (20:27):
All of this is nothing new. We've talked about this before.
Narcissism are all the things you just said, We've talked
about those being the major ingredients in the recipe for
a killer profilelaers have talked about this, Criminologists have talked
about this. What's new, Well, this AI may be breaching
new ground because researchers at the University of Cambridge have

(20:49):
tested this super learner and ensemble of twelve different AI models,
and what they're looking at is details from domestic violence
pl police reports, and the details in the police reports
were able to using just the details in the police reports,
this AI conglomeration was able to correctly identify about eighty

(21:14):
percent of cases that eventually resulted in domestic homicide. So
this AI model took in all of these police reports
of DV which are a dime a dozen, and was
able to find, for the most part, the ones that
would eventually lead to murder.

Speaker 2 (21:33):
Some of that would be baked in, right, I mean,
you're rarely going to get a domestic murder without lower
levels of violence leading up to it. But eighty percent
is still a ridiculously high number that this thing was
able to figure out.

Speaker 1 (21:48):
The They're also going to look at broader data on individuals,
not just people involved in domestic violence situations. And here
are the things that they're going to take into account.
First police contact, like how old they were, history of
domestic abuse, whether they were the victim or they were

(22:09):
the aggressor, mental health, addiction and disability, all of those things.
They're using this around the world. Germany and Switzerland they
have forecasts there about where burglaries are likely to occur
based on past data, so you can preposition patrol units.

Speaker 2 (22:26):
I'm going to connect that again to that Minority Report movie.
That system you're talking about Germany and Switzerland is the
pre crime Observation system, and they refer to as pre
cobs with a B. The individuals, these clairvoyants that are
used in the movie Minority Report are called pre cogs

(22:47):
pre cognitives, which is weird that they would use something
as similar as this fictional thing. In the United States,
we've got the Correctional Offender Management profiling for Alternative sanctions.
They call it COMPASS, and it assesses the likelihood that
someone awaiting trial, defendant a waiting trial or sentencing would
reoffend within a couple of years. Another one, Geolitica, uses

(23:12):
crime data to identify potential crime hotspots.

Speaker 1 (23:15):
If you heard the term first police contact and thought
this is racist, you're not alone. There are clear ethical
problems for using these programs. They have been heavily criticized
for being biased and racist. If you're a young black boy,
you're more likely to have first police contact before me

(23:36):
a young black girl. It's just the way the world works.
But that is going to weigh against you in the algorithm.
There's something that the algorithm does not account for, and
it's something that I think we should spend a moment on,
and it's the fact that some crimes can be triggered, yes,
but can be prevented by something that you can't quantify.

(23:59):
That AA I can't quantify. Talk about that when we
come back.

Speaker 4 (24:04):
You're listening to Gary and Shannon on demand from KFI
AM six forty.

Speaker 2 (24:11):
We're talking about AI being trained to spot future killers,
already making accurate predictions, but on a very very small scale,
taking different personality traits, running them through a machine, seeing
if there are individuals would fit those profiles, and then
you know, grab them up before they actually hurt anybody.

Speaker 1 (24:33):
Let's get down to what's wrong with it, shall we?
There are flaws in the tools commonly used to assess
dark traits in prisons forensic settings, that many of these
checklists and manuals are simply based on outdated science, according
to experts. For example, dark traits can manifest differently in women,

(24:55):
yet most assessments are designed around male behaviors. Also, oh
and I found this to be fascinating and important. Many
crimes can be triggered or prevented by small, unpredictable factors
in someone's environment. Here's an example. Imagine two fifteen year

(25:16):
old boys with similar psychological and social risk profiles. Both
are socially isolated. Both are considering a school shooting, but
just before the planned attack, one of them has a
chance encounter with a stranger. Maybe it's someone who offers
a kind word, asks how they're doing, simply acknowledges them.

(25:40):
Just that connection with another individual who recognizes them could
make someone change their mind, and an algorithm or AI
will never be able to predict that predict murders accurately.
Because of that, no matter how much data we have,
the human factor I found that interesting. The human factor

(26:01):
is what AI cannot account for and how important that
human factor is. When you think about just going back
to Gary's golden rule, just don't be a d you know,
say hello to people. You never know what a smile
or a hello or how do you do could affect somebody.

Speaker 2 (26:23):
It's funny because they refer to different areas where AI
would work really well. For example, self driving cars. Self
driving cars. If that's all you had on a freeway,
that would be utopia because self driving cars would talk,
the computers would talk to other computers, and with millions
of calculations per minute, you're not going to have accidents.

(26:44):
I mean, if you do, it's going to be much
lower rate, I mean exponentially lower rate than you would
find with humans. But because there will be humans on
the road next to those self driving cars, you can't
account for that. Human nature is just too random when

(27:05):
it comes to trying to figure out what's going to
happen next. They refer to a couple of different studies
that looked into that. For example, you know how many
people in the United States would visit the doctor if
they had flu symptoms, and the algorithm they used looked
at about fifty million. Google search queries to make its forecast.
It was less accurate. The machine was less accurate than

(27:29):
the simple approach of well, how many people went to
the doctor of the week before? Right, that's it.

Speaker 1 (27:37):
The other thing is, and it's probably something maybe that
you deal with when you raise children. I would assume
this comes up if your kid is getting emotional or
upset or overwhelmed by something. You try to just batten
down the hatches, right, just try to calm them down,

(27:58):
because you know that it's a feeling, and feelings can
feel very powerful, and they can make you feel like
you've got to act right away or you've got to
freak out right away, and just give it ninety seconds.
Most of the time, it'll pretty much pass. From day
to day. Your filter or your ability to know that changes,
so where you could be a high risk person one day,

(28:22):
you could be a completely different person when it came
to your risk the next day, just based on emotions
and when you're paying attention to them or when you
just let them go, when you react to them, all
of that, and that's also something that a computer model
can't do well.

Speaker 2 (28:38):
And remember, even if you're able to identify somebody who
has that psychopathic tendencies, who is a narcissist maybe has
the Machiavellian traits to them. Even if you find somebody
who hits on all three of those, the percentage of
those people who actually commit a murder is tiny, right, So,

(28:59):
and they use an exam sample of a doctor James Fallon,
a psychiatrist, who wonder when a brain scan discovered that
he had psychopathic features and through no fault of his own,
that's just the way his brain lined up. And the
question is why didn't he kill somebody? Why didn't he
become an offender of some kind? Is it as simple

(29:20):
as adding in that human factor? And it's funny that
you mentioned, you know, kids, because maybe he just had
good parents, or maybe he was in you know, the
home that he was in, whatever it was, was healthy,
and he had strong friendships when he was growing up.
Despite the fact that his tendency may have been to
be more psychopathic than his friends were. There's something about

(29:43):
it that prevents people from from committing the crimes that
they would otherwise be set up to do.

Speaker 1 (29:49):
Yeah, so the crapshoot really, well, it's going to set
you off? Is it going to set you off? Maybe
it doesn't set you off like you.

Speaker 2 (29:57):
The LAPD I only have bad days every once in
a while, so I don't know.

Speaker 1 (30:01):
What I'm gonna get from day to day with you.
Yesterday you came in, you were all over the place
in a bad mood. Today you seem to be fine.
But I don't know what's under the surface.

Speaker 2 (30:09):
I'm just hiding. I'm just hiding the feelings.

Speaker 1 (30:11):
Since your daughter, it's your baby daughter's twenty third birthday
to day.

Speaker 2 (30:16):
You scratched that dance itch, and I'm afraid that I'm
just gonna have keep dancing. You should keep dancing. RELIPD
has used has used this before. They used something called
pread poll. Now we referred to it as geolithica. I
mean it is basically predictive policing using algorithms to analyze

(30:37):
crime data and then to predict where crimes are likely
to occur in the future. I think Verbank PD did
that for a while as well, and all they would
do is literally put cops in those hotspots so that
they could hopefully deter crime. But if it did occur,
they were on it right away. They said that they

(30:58):
quit it, that they gave up on it. At least
LAPD did, because, among other things, it was eroding community
trust if you were just assuming that crimes were going
to take place based on what the computer told you.

Speaker 1 (31:11):
That kid on is that the price is right? Uh?

Speaker 2 (31:15):
Yes?

Speaker 1 (31:16):
That kid names is? That kid named? Is his name Keenan?
I think his name tax is Keenan? Do you think
I was a kid named after Keenan Allen? Where else
do you hear the name Keenan?

Speaker 2 (31:24):
I don't think that kids.

Speaker 1 (31:25):
He is old enough.

Speaker 2 (31:26):
No, I was gonna say he's too old. I don't know.
That's strange.

Speaker 1 (31:33):
Would it be cool if you were named after an athlete?
I'd feel like you'd have a lot of weight on
your shoulders right, like to.

Speaker 2 (31:39):
Not a lot of athletes named Gary?

Speaker 1 (31:41):
Who is is there an athlete, Nail?

Speaker 2 (31:44):
I'm sure there's somebody, but I couldn't tell you.

Speaker 1 (31:45):
Off to a good one. I was named after Shannon Sharp.

Speaker 2 (31:49):
It's a quarterback, Gary. I'll think of it swamp watch
when we come back to Gary and Shannon. You've been
listening to the Gary and Shannon Show. You can always
hear us live on KFI AM six forty nine am
to one pm every Monday through Friday. And anytime on
demand on the iHeartRadio ap

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