Cover for No Agenda Show 1837: Moral Injury
January 25th • 2h 58m

1837: Moral Injury

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0:00
I should mention, dogs do not dance.
0:03
Adam Curry, John C.
0:04
Devorah.
0:05
It's Sunday, January 25th, 2026.
0:07
This is your award-winning People Nation Media
0:09
Assassination episode 1837.
0:11
This is no agenda.
0:15
Hunker Down!
0:16
And broadcasting live from the heart of the
0:18
Texas hill country, here in FEMA Region No.
0:21
6.
0:21
Good morning, everybody.
0:23
I'm Adam Curry.
0:23
And from Northern Silicon Valley, where we can
0:27
tell that the weather's hurting the show.
0:29
I'm John C.
0:30
Devorah.
0:31
It's Crackpot and Buzzkill.
0:33
In the morning.
0:34
Yes, people couldn't get outside to mail a
0:37
check.
0:38
It's horrible, I tell you.
0:39
It's horrible.
0:42
Ah, it doesn't matter.
0:45
Hey, it wasn't as bad, and it is
0:48
bad.
0:50
Well, okay, well, yes, okay.
0:52
We should explain to people outside the country.
0:55
Yeah, well, I think this is international news.
0:59
Yeah, we have a big storm in the
1:01
middle of the country.
1:02
Yeah.
1:03
Here, it's kind of chilly.
1:05
Here, it's 60.
1:06
Oh, shiver me timbers.
1:12
Yeah.
1:14
So, it is, I think it's about 25
1:16
right now.
1:18
It's cold.
1:19
Yeah, for us, well, yeah, I think it
1:22
was 14 or 16 last night.
1:26
Too cold.
1:27
Yeah, but last night is when we got
1:29
freezing rain mixed with snow, and so it's
1:34
just packed.
1:35
It's just packed on top of everything, so
1:37
we can't drive.
1:38
We can't even get down our driveway.
1:40
We could slide down the driveway, but we
1:43
can't drive.
1:44
So, you're stuck there.
1:45
Yeah, kind of stuck, but we're ready for
1:47
it.
1:48
So, without rating the supermarkets, how much food,
1:52
because everyone rated the supermarkets.
1:55
Oh, yeah, oh, yeah.
1:56
How much food do you think the average
1:59
person has in their house already that they
2:03
could hold out with?
2:04
You mean actual food or peanut butter?
2:07
Yeah, food in the house.
2:08
Or peanut butter, what counts as food?
2:10
I count that.
2:11
Oh, I think if people really looked at
2:14
what they have, they probably have enough for
2:16
two weeks.
2:18
That's what I'm thinking.
2:20
Yeah, we were thinking about it.
2:21
If you have a big freezer, you can
2:22
probably go longer.
2:23
Oh, no, we could go two months if
2:24
we're just doing stuff from the freezer because
2:26
we do the big, you know, we get
2:29
the big shipment from K&C Cattle.
2:33
But even at a certain point, we could
2:35
eat the dog's food because she has that
2:37
farmer's dog stuff.
2:38
I'd eat that, and then we just eat
2:40
the dog.
2:40
So I think we could go for a
2:41
couple of months.
2:43
Dog's looking at me right now like, what
2:45
did you just say?
2:46
What?
2:47
What did you just say?
2:49
No.
2:52
Yeah.
2:53
And funny enough, lots of power went out
2:56
in Fredericksburg, but not at our place.
2:58
Once again, the generator is not used.
3:02
That's the reason you buy it.
3:05
The minute you get it, it never flips
3:08
on.
3:08
It's just not necessary.
3:10
It's amazing.
3:11
It really is amazing.
3:14
But yeah, and it's weird.
3:16
Like, my buddy Dave in Alabama, it's 50
3:20
degrees.
3:21
It's like this thing went right around Alabama.
3:23
It's the weirdest thing.
3:28
Yeah, it went kind of, it's a funny
3:29
pattern.
3:30
It's very strange.
3:32
What I haven't heard, though.
3:33
Global warming.
3:35
Proof.
3:36
I haven't heard that for sure.
3:38
But I haven't heard the extreme weather event.
3:42
That's typically what they roll out.
3:44
I think it's diminishing.
3:47
The whole, in fact.
3:49
I think they're realizing that people are getting
3:51
sick of hearing it.
3:53
Yeah.
3:55
I think I had a clip about this
3:58
somewhere.
3:59
I thought I had.
4:02
While you're looking for that, I do have
4:04
the weather report from NPR.
4:05
You can play that.
4:07
Let's see.
4:08
Weather report.
4:10
Storm update.
4:10
Oh, storm.
4:11
Storm update.
4:13
A massive winter storm is sweeping through a
4:15
huge swath of the country.
4:17
From the southwest, heading to the mid-Atlantic,
4:20
and then up through the northeast this weekend.
4:22
With heavy snow and ice possible.
4:25
Freezing rain and sleet is also expected in
4:27
many states.
4:28
That could bring down trees onto power lines,
4:30
leading to widespread power outages.
4:32
Already thousands are without power in the southwest.
4:36
National Weather Service meteorologist Josh Weiss.
4:39
So if people lose power, people can't get
4:41
out of their homes because snow and ice
4:42
is covering the roadways.
4:44
They could be stuck for several days without
4:47
the ability to get warm.
4:48
And it's going to be so cold.
4:50
We've got sub-zero wind chills that may
4:52
reach as far south as Dallas, Memphis, and
4:54
Raleigh, North Carolina.
4:55
And all points north of there.
4:57
So people are trapped due to heavy snowfall
5:00
and damaging freezing rain.
5:01
This cold is going to linger all of
5:03
next week, making a dangerous situation truly life
5:06
-threatening.
5:06
Thousands of flights have been canceled or delayed
5:09
because of the storm.
5:11
Mimi texted me.
5:12
She texts me about three times a year.
5:15
Usually one is, OK, time to do taxes.
5:18
And then this is the first time this
5:21
year.
5:21
She's like, oh, Max Velocity says it's going
5:23
to be bad.
5:25
She loves Max.
5:26
Yeah, she called me last.
5:28
She says, oh, you think he's going to
5:29
be OK?
5:31
I appreciate her concern.
5:35
She doesn't text me like, are you going
5:38
to be OK?
5:38
Just said, Max Velocity says you're going to
5:40
die.
5:41
Here it comes.
5:44
Max Velocity.
5:45
He's fun to watch.
5:46
Because I'm always saying, I've watched him a
5:49
couple of times.
5:49
But he's a little too intense for my
5:52
taste.
5:53
A little?
5:54
OK.
5:55
He's way too intense for my taste.
5:57
And Mimi's just in love with this guy.
6:01
And she thinks his reports are so dynamite.
6:04
But they have nothing to do with anything
6:06
she's doing.
6:09
He's covering the Midwest mostly.
6:11
She's just a weather junkie.
6:13
So who cares?
6:13
She's a weather junkie.
6:14
I mean, I know people like this.
6:16
She's a weather junkie.
6:17
There are people who just, you know, there's
6:19
a, on the YouTube TV, there's a quad
6:22
squeen.
6:23
I keep saying squeen.
6:24
It's a squeen.
6:25
Stop me.
6:27
I like the squeen.
6:29
I like the quad squeen.
6:30
That's what it's called now.
6:32
Quad screen of Weather Channel, Fox Weather.
6:36
There's two other ones.
6:37
And I'm sure people watch that all day
6:39
long.
6:39
Oh, weather.
6:41
Weather.
6:42
Whoa.
6:43
Look.
6:44
Weather.
6:45
Holy mackerel.
6:46
Do you see the size of that hail
6:47
in Oklahoma?
6:48
Ooh.
6:50
Size of a softball.
6:51
It's a form of disaster tourism.
6:54
You know, virtual disaster tourism.
6:56
Because he always has the storm chasers.
6:58
And the storm chasers are now chasing snow.
7:02
Yeah, we're in the snow right now.
7:03
We're driving.
7:04
It's snowy.
7:05
Yep, it's cold.
7:07
Back to you, Max.
7:10
Anyway, I'm sure we will survive.
7:12
If we don't get any more precipitation, we
7:15
should be okay.
7:16
I found my climate change things at the
7:19
end of this clip.
7:20
Because coming on the heels of the national
7:23
security strategy is the new United States defense
7:28
plan, which is just as stunning.
7:35
34 pages to outline the Pentagon's new national
7:37
defense strategy and tell allies they need to
7:40
handle their own security.
7:42
The defense blueprint reinforces Trump's America First philosophy,
7:46
making that clear from its opening line.
7:48
For too long, the U.S. government neglected,
7:51
even rejected, putting Americans and their concrete interests
7:54
first.
7:55
Its primary concern is now security of the
7:58
U.S. homeland and western hemisphere, including narco
8:01
-trafficking and immigration.
8:03
It's a break from the 2022 report under
8:06
the Biden administration, where China was described as
8:09
the most comprehensive and serious challenge to U
8:11
.S. national security.
8:13
Now China is priority number two, and the
8:15
report says the U.S. should deter Beijing
8:17
through strength, not confrontation.
8:20
Our goal in doing so is not to
8:22
dominate China, nor is it to strangle or
8:24
humiliate them.
8:26
Rather, our goal is simple, to prevent anyone,
8:29
including China, from being able to dominate us
8:32
or our allies.
8:34
There's no mention of Taiwan in the report,
8:36
despite U.S. intelligence believing China aims to
8:39
take the island by force in the next
8:41
year.
8:41
As for the rest of the region, the
8:43
document hints at a reduction of U.S.
8:45
presence in the Korean peninsula, saying Seoul is
8:48
capable of taking primary responsibility for deterring North
8:52
Korea with more limited U.S. support.
8:55
The message is clear.
8:56
The U.S.'s allies will be expected to
8:58
shoulder more of their own defense.
9:00
That applies to Europe, too.
9:02
Russia, which appears 89 times in the 2022
9:05
report, is now largely in the background and
9:08
dubbed a persistent but manageable threat to NATO's
9:11
eastern members, despite its ongoing war in Ukraine.
9:15
And while climate change featured heavily in the
9:17
2022 report as a transboundary threat, four years
9:21
on, it's not mentioned at all.
9:23
I think they put that music in there
9:25
to hijack the Europeans' nervous system.
9:33
It's very annoying.
9:35
Where did you get that clip?
9:36
France 24.
9:38
France 24, I think it's either that or...
9:42
Yeah, France 24.
9:44
Geez, and they produced it?
9:45
That's weird.
9:47
Oh, they do that all the time.
9:48
It's horrible.
9:49
They're going down the tubes.
9:51
I mean, Euronews has got African dudes reading
9:54
it, which kind of makes sense, considering the
9:56
population makeup of Europe these days, to be
9:59
honest about it.
10:00
So, China slips to number two.
10:04
What was number one?
10:05
I couldn't figure it out.
10:07
Number one is Merca.
10:08
Merca first, the Western Hemisphere.
10:11
But the European allies got to pull their
10:14
own weight.
10:15
We don't care.
10:18
Yeah.
10:19
It was kind of good.
10:20
I like the pivoting a little bit away
10:22
from China.
10:23
Just in related news, you hear about the
10:26
Chinese top guy in the military?
10:30
Yeah, they kicked him out.
10:31
Him and another guy.
10:33
There's hardly anyone left in that committee anymore.
10:35
Zheng Youxia was once the president's most trusted
10:38
military general, his second in command.
10:41
He's now been placed under formal investigation, accused
10:44
of grave violations of discipline and violations of
10:47
the law, though the defense ministry has provided
10:49
no details of the alleged misconduct.
10:52
The drastic move lays bare major fractures within
10:54
the military's most senior ranks.
10:57
The 75-year-old is one of just
10:58
a few leading officers with combat experience.
11:01
He joined the People's Liberation Army in 1968,
11:05
fought in China's war in Vietnam, and climbed
11:08
the ranks to become Xi's most important ally
11:11
in modernizing the PLA, often taking to the
11:14
international stage.
11:15
We hope to communicate with the armed forces
11:17
of various countries and will continue to deepen
11:20
China-Russia relations.
11:22
Another member of the Central Military Commission, Liu
11:24
Zhenli, has also been placed under investigation by
11:27
China's ruling Communist Party.
11:29
Together, they were the two remaining leaders of
11:31
its armed forces, who had survived previous purges
11:34
after eight top generals were expelled back in
11:37
October.
11:38
Man, they're really doing something.
11:40
Eight, so ten guys in total?
11:42
This latest crackdown leaves Xi Jinping in sole
11:44
operational control of the PLA, further consolidating his
11:48
grip over the armed forces.
11:50
Probes can last months or even years.
11:53
Most are detained, found guilty, and removed from
11:55
their positions in the party.
11:57
Guilty of what?
11:58
Guilty?
11:58
They're not telling us.
12:00
They never tell us anything.
12:01
They just tell them they're found guilty.
12:03
They probably are guilty of something.
12:05
The Chinese have a tendency to be corrupt.
12:07
Well, I think I know what it might
12:10
be.
12:11
This is like 20 more seconds.
12:12
Listen to the very end here.
12:13
More than 200,000 officials have been expelled
12:16
since Xi came to power in 2012, part
12:19
of a broad anti-corruption drive to root
12:21
out graft.
12:22
But it's also viewed by many as a
12:23
way to ensure loyalty and make the military
12:26
more combat ready.
12:28
In recent years, China has ramped up military
12:31
drills around Taiwan, and the US government says
12:33
Xi has ordered the PLA to prepare to
12:35
seize the island by force by 2027.
12:39
I think that's it.
12:40
I think these guys leaked the plans about
12:42
2027.
12:43
We were hearing about that almost a year
12:45
ago, the 2027.
12:46
I think it was even longer than that.
12:47
Yeah, 2027.
12:49
Oh, that's when it's going to happen, 2027.
12:51
Get ready for China.
12:52
And I guess we're going to be ready
12:55
to make our own chips by 2027.
12:59
Will we?
13:01
Seems like you need.
13:02
I mean, that Samsung plant is, I don't
13:05
think that's operational, the one up in Taylor,
13:08
Texas.
13:08
Yeah, but that's not the same as the
13:10
two-nanometer process they're using at Taiwan Semiconductor.
13:18
They're so ahead of the game, it's ridiculous.
13:20
Of course, we'd allow that to happen.
13:22
How long would it take for us to
13:24
replicate what we need?
13:26
Well, it's all, you know, it's not their
13:27
gear.
13:28
That's the thing that's good.
13:30
You know, it's Dutch gear.
13:33
The etching is Dutch.
13:36
We can buy, no, TSML is the...
13:39
No, ASML.
13:41
ASML, yeah, those guys.
13:42
That's the Dutch guys.
13:42
They would, they can, you know, we can,
13:44
we basically tell them what to do.
13:48
They don't just sell their stuff to anyone,
13:50
otherwise the Chinese would have it.
13:53
And so we just say, okay, you got
13:55
to build a place.
13:56
The problem is that the TSMC, there's a
13:58
lot too many letters here.
14:00
The TSMC guys, they tried, I think, made
14:05
a couple of advances toward building or setting
14:09
up shop in the USA, but determined that
14:12
our people are too stupid.
14:14
Well, they're too stupid at the prices they
14:17
pay.
14:17
Ah, that would be it.
14:19
Because we got smart people, but, you know,
14:22
you don't get them for pennies on the
14:23
dollar.
14:24
Well, somebody needs to start making some RAM,
14:27
man.
14:28
The RAM prices are nuts.
14:30
RAM is funny, yeah.
14:31
We got to make some RAM.
14:32
Yeah, that'll change quick.
14:35
Well, how?
14:37
By the AI collapse.
14:40
That'll do it.
14:41
AI collapse, everything goes great.
14:45
We'll all be desoldering chips.
14:47
Look, I got some RAM.
14:49
You'll have a 22-terabyte solid-state drive.
14:53
Hey, man, I think Linux this Sunday, one
14:56
week from now, the show will run on
14:58
Linux.
14:58
What?
14:59
Yeah, I think so.
15:00
I got really far.
15:01
I got the Roadcaster working.
15:03
I was blown away.
15:05
I didn't think it was going to be
15:07
possible.
15:08
You can thank me.
15:09
Because you put a timeline on it.
15:12
You got me all stressed out.
15:15
Like, I got to prove this.
15:16
I can do this.
15:17
Yeah, you're always trying to show off.
15:19
Well, it's not about show.
15:21
I read somewhere that Linux desktop now is
15:25
close to 18% of all desktops.
15:30
No.
15:30
Yeah, yeah, yeah.
15:31
Well, I mean, I read it.
15:32
It doesn't mean it's true.
15:35
It could be.
15:37
I think it'd be nice if it was,
15:39
you know, half.
15:41
People are so sick of Windows.
15:45
And it's really just the stuff getting in
15:47
the way.
15:47
It's the pop-up.
15:48
It's the ads.
15:49
It's the, you know, oh, you want to
15:51
use this?
15:51
Well, you got to put it on the
15:52
cloud.
15:53
Get a cloud account.
15:55
I think that people are just sick of
15:56
it.
15:57
And it sucks.
15:58
It's slow.
15:59
It's sluggish.
16:00
Well, one of the problems, in my perception,
16:05
is that Windows always had the comparative.
16:09
It was always Windows versus Mac.
16:11
And with Windows, you felt you had some
16:14
control.
16:16
Really?
16:18
Yeah, because with Mac, it would put things
16:22
in files.
16:23
It would assume you're an idiot and just
16:25
move things into certain places.
16:27
And sometimes you couldn't find things.
16:28
You didn't know where they were.
16:29
That's gotten really bad with the iOS, with
16:32
the iPad stuff.
16:33
Tina is continuously, like, I mean, she goes
16:36
into the closet and pulls out my old
16:39
MacBook Pro, I think, from at least eight
16:45
years ago because she can't get Microsoft Word
16:49
to function properly on her iPad.
16:52
And she has a keyboard that goes with
16:54
it, which doesn't have an escape key, of
16:57
course.
16:58
What?
16:59
Yeah.
16:59
It does not have an escape key.
17:01
Yeah, Apple would pull that stunt.
17:03
Yeah, it reminds me of Texas Instruments when
17:07
they came out with one of their computers,
17:09
and they had the keys that were supposed
17:12
to be there weren't there.
17:14
Why is there no shift key?
17:17
What am I supposed to do?
17:20
No S key.
17:21
What are we doing?
17:22
There's a lot of stuff.
17:23
But with Windows, and you felt you had
17:28
a little more control, Linux is ultimately very
17:31
control-oriented for the user.
17:33
You want to move a file from A
17:36
to B, it's like, okay.
17:38
It's not questioning you all the time or
17:40
automatically doing stuff, like the Windows in this
17:45
cloud, this cloud thing, this stuff, I'm looking
17:48
for something and where is it?
17:49
They moved it to the cloud for some
17:53
unknown reason.
17:54
It's up there in the cloud.
17:55
Well, you have two documents folders when you
17:57
first start up Windows.
17:59
I didn't realize this.
18:00
You got like a cloud document, and that's
18:03
the default.
18:04
It's like, what?
18:04
Where did everything go?
18:06
Oh, it's in a separate document folder.
18:09
Yeah, so this is all, this is from,
18:13
I think, this is because Mac people came
18:15
over and started working for Microsoft.
18:16
The whole idea of Macintosh was to make
18:20
it so he's brain dead.
18:22
Well, I'll tell you this, 365, which is
18:28
their office suite, was down last week for,
18:32
I think, 36 hours.
18:34
All corporate email was basically dead.
18:38
I mean, I was getting bounces from Marriott
18:40
.com.
18:41
That's not good.
18:44
Now, everyone trusts all these companies with all
18:47
of their stuff.
18:47
Oh, yeah, put it, the cloud.
18:49
I remember the cloud, the cloud, put it
18:51
on the cloud.
18:51
Oh, it's great, the cloud.
18:53
But what happened with the cloud, Dave Jones
18:56
is actually telling me this, because he does
18:58
IT for an accounting firm.
19:01
He says the whole idea was that you
19:03
were moving CapEx to OpEx.
19:06
But these days, you have to take a
19:09
full year subscription to even really get any
19:14
kind of deal.
19:15
So, you know, it's not even really an
19:19
OpEx anymore.
19:20
And they keep, you know, increasing prices, removing
19:24
features that are now a separate tier.
19:28
You know, it's just, you do something, like
19:30
the AI companies are great at this.
19:33
You do something in your tier, and then
19:35
all of a sudden it's like, well, you
19:36
can wait for a week until we have
19:38
a GPU free, or you can upgrade to
19:40
$200.
19:42
Not everybody knows that CapEx is capital expenditure
19:45
versus operating expenses.
19:48
I think we have the most intelligent people
19:51
in the universe.
19:53
We have a lot of Zeds that think
19:55
it's Florida ounces.
19:56
Well, okay, so the capital expenditure is an
19:59
important point, because in the new tax ruling,
20:03
all these companies that are building factories, we
20:06
hear, we hear, we hear.
20:09
Yeah, I've heard that they're doing it.
20:11
I've heard.
20:12
Trillions.
20:13
The reason why they are doing it is
20:16
that they will be allowed to write off
20:18
all capital expenditures in one year instead of
20:22
amortizing that over, what is it, seven years?
20:25
Except for, I don't think the oil guys
20:26
get that kind of deal.
20:27
For some reason, the oil guys didn't get
20:29
that deal.
20:29
I don't know why.
20:30
The oil guys have a deal, a real
20:33
deal.
20:35
Not according to the oil baron.
20:36
He's feeling pretty screwed these days.
20:39
Well, but by their standards.
20:42
Oh, that's what I always tell them.
20:43
Boo hoo with your ranches.
20:47
I don't feel that bad.
20:49
I mean, come on, people.
20:52
I don't feel that bad.
20:55
But yeah, I'm excited.
20:57
Just getting the Rodecaster and all three of
20:59
its USB interfaces to work was astounding.
21:04
That was the part that I thought was
21:07
really not going to be easy.
21:10
You should productize some of it and sell
21:15
it back as drivers to Rode, the guys
21:18
who never give you anything for free.
21:20
Screw them.
21:21
Those guys, you're so right.
21:23
They give every YouTuber a free gear.
21:26
Oh, we got this new box.
21:27
Send it to that YouTuber.
21:29
They never send anything.
21:31
Never, never.
21:32
I don't get it.
21:34
Yeah, that's why you should sell them.
21:36
I'm not going to sell.
21:37
I'm going to open source my stuff.
21:39
I'm not going to sell it.
21:40
Oh.
21:43
Hey, I want to give back to the
21:45
world.
21:46
I'm at a stage in my life where
21:47
I care about giving back.
21:49
You're giving back to Rode.
21:50
I'm not giving back.
21:51
The people who screw you out of free
21:53
gear.
21:54
You must give your enemy to drink and
21:57
to eat and be like pouring hot coals
21:59
on their head.
22:00
What are you, a communist now?
22:02
I'm not a communist.
22:04
You're a communist.
22:08
I am not a communist.
22:10
How dare you?
22:11
Someone got really bent out of shape the
22:13
other day because you called me a bigot,
22:14
and they thought that was really a horrible,
22:16
horrible thing to say.
22:19
That's because I try to throw the term
22:22
in every so often to familiarize people with
22:26
what it actually means.
22:27
People always think it's racial.
22:31
I forget what the context.
22:33
He had a different context for it but
22:35
did not like it.
22:36
No, I understand when I call you a
22:39
bigot, and I've done it more than once
22:41
on the show, it's based on the definition
22:46
of bigotry.
22:46
You'd be, for example, adhering to something very
22:53
minuscule and minor, and you think everything that's
22:57
against your basic thoughts is bad, and that
23:01
is bigoted by definition.
23:04
Is it really now?
23:05
Let's read the definition of bigotry.
23:07
Why don't you bring it up?
23:08
Okay.
23:09
The definition of bigotry.
23:11
Now, of course, this is Merriam-Webster.
23:14
It's the first one.
23:14
A narrow-minded person who obstinately adheres to
23:19
their own opinions and prejudices, especially one who
23:24
strongly and unfairly dislikes or feels hatred towards
23:27
others based on their group membership.
23:29
I'm not a bigot like that.
23:32
No, you're not a bigot like that, but
23:34
that's the secondary meaning.
23:36
The initial meaning is you are, in many
23:39
ways.
23:39
Narrow-minded person who obstinately adheres to their
23:42
own opinions and prejudices.
23:43
You have a lot of opinions that you
23:45
adhere to obstinately.
23:48
You are the biggest bigot if that's the
23:51
definition.
23:54
You could call me one in certain circumstances,
23:57
and you'd be correct.
23:58
Yes, but I don't do that.
24:03
You're doing it right now.
24:05
I didn't call you a bigot.
24:07
No, no, you're being obstinate.
24:09
Oh, okay.
24:10
Well, it's all right.
24:13
It's hard to be right all the time.
24:15
It's just hard.
24:17
Speaking of that, I just want to— See,
24:19
there you go.
24:20
That's what I'm talking about here.
24:21
I just wanted to mention.
24:22
So this guy gets all bent out of
24:24
shape because I used the word properly.
24:26
I'm sorry.
24:27
Hey, I'm not complaining.
24:28
I just came up.
24:29
This reminds me of the word niggardly.
24:32
Well, yeah.
24:33
You bring that up.
24:34
I mean, I don't even do that one.
24:36
But that's a very—it means cheap.
24:40
Well, let's just stick with this for one
24:42
second because we get emails frequently.
24:46
I would say ever since we just disagreed
24:51
with the libertarian narrative and now widespread narrative
24:55
that Israel controls everything in America.
24:59
But it's interesting because people—we have a different—
25:06
I know.
25:06
The logic—and by the way, what you're saying,
25:08
the logic of that thought that Israel compares
25:12
or— Controls.
25:14
Israel controls.
25:15
I'm sorry.
25:16
Israel controls everything in America is so ludicrous.
25:23
It's ludicrous.
25:25
But yet people are all in on it.
25:27
And it's baffling to us.
25:32
So—but even—like Trump.
25:33
And we got an interesting—I got an interesting
25:35
email about this.
25:36
Like Trump is like—let me see if I
25:39
have that email.
25:40
Here's our cold weather show, ladies and gentlemen.
25:42
Well, we got some other stuff to talk
25:44
about.
25:45
But people say, you're such fans.
25:49
You're like licking his ass.
25:54
On and on and on and on.
25:55
And I'm like, first of all, we have
25:58
an opinion.
26:00
And sometimes he's funny.
26:02
And we laugh.
26:03
He can be very funny.
26:05
Yeah.
26:05
And we often—you more than I—say, you know,
26:08
he's not going to do anything.
26:09
That's not going to happen.
26:11
Because it's not going to happen.
26:13
But here's—this is from Jason.
26:17
He says, as an avid libertarian slash anarcho
26:21
-capitalist, I thought I'd give you a quick
26:25
explanation about Judge Napolitano, Scott Horton, and Dave
26:28
Smith, and the rest of our libertarian crew.
26:32
And by the way, everyone goes through a
26:34
period of libertarianism.
26:35
This is like the—this is very much like
26:38
college women who go through their small— their
26:40
small period of being a lesbian.
26:43
Let's just analyze it that way.
26:47
Wow.
26:49
It's true we don't like Trump or his
26:51
foreign policy.
26:52
I think this is because I said Judge
26:53
Napolitano just hates Trump.
26:56
But I also said—well, no, let me read
26:59
on.
27:00
Many of us aren't fans of ICE and
27:02
other federal agencies, but we're quite sincere.
27:05
Well, I don't doubt that.
27:06
We don't like the Democrats either and see
27:08
them as hypocrites who are just as much
27:10
in love with government power domestically and American
27:13
mercantilism abroad as Republicans are.
27:19
We like Ron Paul and Thomas Massey because
27:21
they oppose American hegemony and support a return
27:25
to the Jeffersonian values of an agrarian republic
27:29
that stays at home and minds its own
27:31
business.
27:32
And I'll just insert here, you will hear
27:35
in today's show why that is not possible.
27:37
I know you guys mostly respond to media
27:40
rather than taking philosophical stances, but it's quite
27:44
frustrating to listen to some of it as
27:47
it feels like you're mocking our viewpoint without
27:49
really understanding why we believe what we believe.
27:53
And then he throws in some Christian stuff,
27:56
which is supposed to convince me.
27:58
I just wanted to get that off my
27:59
chest.
28:00
OK, so here's the point I was making
28:04
is that when you have the same libertarians,
28:10
I'm talking about these podcasters, I'm not talking
28:11
about you or anybody else in particular, but
28:14
we have podcasters who say, oh, it's going
28:17
to go to war with Iran.
28:19
It's going to go to war with Venezuela.
28:21
And when Trump doesn't do it, they never
28:24
say, wow, that was cool.
28:26
He didn't do it.
28:26
Maybe there's hope.
28:27
That would that's my point.
28:30
It's the hypocrisy of it, because ultimately you're
28:33
not libertarians, you're Trump haters.
28:36
That's the point.
28:36
And what is this?
28:38
That's good.
28:39
It's true.
28:40
Or at least these podcasters.
28:42
And I don't care how many hours of
28:45
video Scott Horton has or how many books
28:48
he's written about anti-war or war or
28:51
whatever, whatever.
28:52
But I live in the here and now.
28:56
So it's just, you know, chill out.
28:59
You know, you can have you.
29:00
I'm happy you find that your opinions.
29:02
I just have a different worldview.
29:04
And the people get all bent out of
29:06
shape and all they've got is a fanboy
29:10
shekels.
29:12
Come on.
29:14
It's just wait until they hear that we're
29:17
doing an Israel trip in March.
29:20
They'll really flip out.
29:22
I'm going to do a show from Israel.
29:23
I hope they get good connectivity there.
29:28
Oh, yeah, I do.
29:31
So regarding ice, I know I always get
29:36
your clips early in the morning.
29:37
So I had some of my own analysis.
29:40
But I think we should start with stuff
29:42
you have because you've got stuff.
29:44
What do I do?
29:45
Minnesota.
29:47
Oh, yeah, I do have a bunch of
29:48
Minnesota because once again, we're all actually I'll
29:51
kick it off with one thing.
29:52
I'll just kick it off.
29:53
Where is it?
29:55
We're all Zapruder.
29:56
Once again, we're all Zapruder, everybody.
29:58
Yep.
29:58
Yep.
29:59
Yep.
29:59
Yep.
29:59
Yep.
29:59
Here we go.
30:00
Aaron Burnett.
30:01
What do you see in all of this
30:03
so far from the information that we have
30:04
from the video you've watched from the responses
30:06
we've gotten from DHS and from Mr. Bovino?
30:09
Well, I mean, obviously, Aaron, at the core
30:11
of it, you have an unbelievable tragedy where
30:13
it appears that a potentially unarmed person was
30:18
essentially assassinated by horrible law enforcement tactics.
30:24
Horrible.
30:24
Dramatically escalated the situation.
30:27
But, you know, they're just there are so
30:29
many questions here at the at the absolute
30:32
core of lethal force training in the FBI
30:37
Academy.
30:37
This is Andrew McCabe, by the way.
30:39
At this horrible Trump hater.
30:43
Yeah.
30:43
He's anti-American.
30:45
He's a terrible person.
30:46
Why would anyone even put him on a
30:47
show?
30:48
He's disgraced.
30:49
CNN, baby.
30:51
Lethal force training in the FBI Academy at
30:55
in the Academy at Glencoe, Georgia.
30:57
Did you hear the potentially unarmed piece there?
31:00
I heard that.
31:01
You mean the guy with the nine millimeter?
31:04
You talking about that guy?
31:05
Border Patrol folks go through.
31:08
You are taught from the very beginning that
31:10
if you are in if you use your
31:12
weapon, you have to be able to, after
31:15
the fact, articulate exactly why you perceived an
31:19
imminent threat of death or serious bodily injury.
31:23
And so the question now is, when are
31:25
we going to hear that articulation?
31:28
What is the reason that these officers or
31:31
a single officer?
31:32
We don't know how many people shot.
31:34
Believe they were an imminent threat of death
31:37
by this person who was by all every
31:40
video we've seen on the ground with anywhere
31:44
from four to five officers on top of
31:46
him at the same time.
31:48
Nowhere in these videos do you see a
31:50
weapon in this man's hand.
31:53
So again, this is the Zapruder effect that
31:55
we in America love so much.
31:57
We love analyzing video.
32:00
Yeah.
32:00
This reminds me of the of the Jack
32:03
my favorite, which is the Jacqueline Kennedy shot
32:06
JFK in the head.
32:07
Yeah.
32:08
If you look at that film just right.
32:10
Oh, yeah.
32:10
The driver to shot him and everything.
32:12
And this goes on forever and ever.
32:15
And of course, we only have more and
32:17
more of this with with video and video
32:21
can be very deceptive in in on either
32:24
side.
32:26
Same same movie, two different screens.
32:28
You can look at something one way and
32:29
get get something out of it.
32:31
And but it's red meat for the M5M
32:34
and for podcasters, apparently, because this is all
32:37
we can talk about.
32:38
I mean, it's no different from Charlie Kirk.
32:40
What, 30 out six was from above below.
32:43
Was it his microphone explode?
32:44
This will go on.
32:45
And I find it tedious and boring.
32:47
I mean, obviously, we've got didn't find it
32:50
so tedious.
32:51
You didn't want to record that particular moment.
32:55
Well, no, I do that for effect.
32:57
I am a show business person after all.
32:59
Come on.
33:00
All right.
33:01
But I have some thoughts on the whole
33:03
thing, but I'd like to like you to
33:04
do your.
33:05
OK, I'm sure you have some thoughts on
33:06
the whole thing.
33:07
So let's play these Minnesota shooting.
33:08
Now, I had two versions of this.
33:10
I had the short one, which I want
33:12
to play.
33:12
The short one is all from NPR.
33:15
The short one, because there's a little tidbit
33:17
in here that I thought was funny, which
33:20
is not mentioned at all in the long
33:21
form, which which is new MN shooter NPR.
33:26
Minnesota officials identified the person shot and killed
33:30
today in Minneapolis as Alex Jeffrey Pretty.
33:33
As NPR's Meg Anderson reports, he was the
33:36
second person killed by federal immigration agents in
33:39
less than three weeks.
33:42
In a news conference with city officials, U
33:44
.S. senators Amy Klobuchar and Tina Smith named
33:46
Pretty as the shooting victim.
33:48
They said Pretty was a 37 year old
33:50
ICU nurse, a U.S. citizen and a
33:52
Minneapolis resident.
33:53
U.S. Senator Tina Smith.
33:55
The Trump administration has already called Alex Pretty
33:58
a domestic terrorist.
34:01
He was a nurse.
34:03
She stressed that if this can happen in
34:05
Minnesota, it can happen in any community in
34:07
the country.
34:08
In the aftermath of the shooting, Mayor Jacob
34:10
Frye requested that the governor deploy National Guard
34:13
members to support Minneapolis police officers.
34:16
Guard members will wear yellow safety vests to
34:18
distinguish them from other entities on the ground.
34:21
OK.
34:23
Yes.
34:24
So the yellow safety vest got my attention.
34:27
Oh, yeah.
34:27
This is people.
34:28
Those people are directing traffic.
34:32
So you're going to have the yellow safety
34:34
vests, which is just going to cause nothing
34:37
but yellow.
34:39
Yellow safety vest is, in my opinion, seeing
34:45
that most of these protests are organized operations,
34:50
maybe by civilians.
34:52
But that's that's someone who's a key figure.
34:56
You're a leader.
34:57
You're a you're a person who has a
35:00
point person.
35:02
I don't think you just put on the
35:03
yellow safety vest.
35:05
It's just my opinion.
35:06
I don't know anything about this guy.
35:08
Did he?
35:08
Did he?
35:09
I don't think.
35:09
No, no.
35:09
The yellow safety vest is what they're going
35:11
to make the National Guard wear.
35:13
Oh, that'll confuse everybody.
35:15
They'll confuse the protesters.
35:19
Well, there's also it has a bunch of
35:22
symbolism to this yellow for one thing, which
35:24
is a surrender.
35:25
Yeah.
35:25
And it's also the yellow vest movement is.
35:29
Yes.
35:30
Reminiscent of that little bit in France.
35:33
And these guys are going to be like,
35:36
if I'm a National Guard guy wearing like
35:38
my normal, my normal fatigues, I'm going to
35:41
look like a doofus wearing this stupid yellow
35:43
vest.
35:44
So, you know, the whole thing is funny.
35:46
They left that out of the long form.
35:48
And I thought that was kind of weird,
35:50
weird to do.
35:51
But OK, because the long form was on
35:53
forever.
35:54
Let's start with the Minnesota shooting long form.
35:57
This is more of an analysis than the
36:00
other report.
36:01
For the second time this month, federal immigration
36:04
agents in Minneapolis have shot and killed someone.
36:06
It happened this morning outside a donut shop
36:09
where protesters quickly gathered.
36:16
This latest killing has put an already tense
36:19
city further on edge.
36:21
And today, the Trump administration and local officials
36:23
are trading accusations about who is to blame.
36:26
NPR's Jennifer Ludden is in Minneapolis and has
36:29
been following all of this.
36:30
Hi, Jennifer.
36:31
Hi, Sarah.
36:32
First, Jennifer, what do we know so far
36:34
about what exactly happened this morning?
36:37
Well, the Department of Homeland Security says there
36:40
is an investigation with more information to come.
36:43
But the immigration agent commanding this operation called
36:46
the shooting self-defense.
36:48
Gregory Bovino told reporters that agents were pursuing
36:51
an undocumented immigrant wanted for violent assault.
36:55
And then another person who was armed approached
36:57
the officers and resisted when they tried to
37:00
disarm him.
37:01
Here's Bovino.
37:02
This looks like a situation where an individual
37:05
wanted to do maximum damage and massacre law
37:08
enforcement.
37:09
Then about 200 rioters arrived at the scene
37:13
and began to obstruct and assault law enforcement.
37:17
But there is a bystander video that shows
37:21
multiple federal agents, looks like at least six,
37:24
wrestling someone on the ground, striking him.
37:28
And then you hear multiple shots fired.
37:30
It sounds like at least 10 rounds in
37:32
just a few seconds.
37:33
And it is not clear from the video
37:35
if the man killed had brandished or reached
37:37
for any weapon.
37:38
Now, Minneapolis Police Chief Brian O'Hara says
37:41
the man killed was a 37-year-old
37:43
white male, U.S. citizen, U.S. citizen,
37:46
U.S. citizen with no criminal record and
37:49
a lawful permit to carry a gun.
37:51
His family has identified him to the Associated
37:53
Press as Alex Preddy.
37:55
They say he was an intensive care nurse
37:57
at the VA who was upset at the
37:59
ICE surge here.
38:00
And his family says he had protested after
38:02
an agent fatally shot another person, Renee Good,
38:06
in her car earlier this month.
38:08
I just need to interject one quick thing
38:10
here because this, you won't hear this.
38:13
It's not discussed anywhere.
38:14
This is like, you know, it's like, was
38:16
he a bad guy?
38:17
Did the cops kill him?
38:18
This is back and forth.
38:19
It's endless.
38:20
If you physically interpose yourself with law enforcement,
38:27
that by itself is a federal crime.
38:31
Done.
38:32
So all bets are off at that point,
38:34
whether you're armed or not.
38:35
And I think it's bull crap that he
38:37
was there.
38:37
He was going to commit mass murder.
38:40
I think that's bull crap.
38:41
And I think it's weak on behalf of
38:43
Christine Noem, how she categorizes all this.
38:46
The fact is they were on an operation.
38:50
And, you know, Obama deported three million people.
38:53
I guess he just did it in the
38:55
middle of the night quietly.
38:57
I doubt that.
39:00
But there were no protests that I can
39:04
remember.
39:05
No.
39:05
There were only protests about kids in cages.
39:08
Oh, wait.
39:08
Yeah, that was Obama.
39:10
That's Obama too.
39:10
We got blamed for it.
39:12
But if you put yourself, which he did,
39:15
if you put yourself, you block a federal
39:20
agent, that is a crime.
39:23
Now, not a crime that an agent can
39:25
shoot someone over and then you go to
39:27
the next, you know, to the next phase
39:29
of it.
39:29
But that already is the problem right there.
39:31
And this comes from a different place altogether.
39:33
But there's just no—I've not heard anyone say
39:37
that at all.
39:38
It's somehow this— They don't want to say
39:40
it because it doesn't fit the narrative of
39:42
a bunch of nasty ICE guys.
39:45
Yeah.
39:45
That are out there trying to, you know,
39:48
they're trying to—one of the terms was they
39:51
were murdering people left and right.
39:55
I can't remember how it went.
39:57
What's amazing— Sound like they're homicidal maniacs.
40:00
There's more people killed in Oakland in the
40:02
last three weeks than there has been in
40:04
Minnesota.
40:05
What I find fascinating is the constant ongoing
40:09
from the M5M particularly.
40:12
Well, he was—he had a concealed weapon.
40:16
He was legally licensed to carry it.
40:19
This is the first time I've heard that
40:21
this was a good thing.
40:22
Oh, it's good.
40:23
It's good.
40:24
Yeah, what happened to the old anti-guns
40:26
narrative?
40:27
No, not in this case.
40:28
These guys can't make up their minds.
40:29
They're just subversive.
40:32
Yes.
40:32
The media is subversive.
40:34
Mm-hmm.
40:36
We just have to admit it.
40:39
All right.
40:40
Part two.
40:41
Onward.
40:41
Now, the Border Patrol commander mentioned, quote, rioters
40:45
at the scene.
40:46
You were at the scene.
40:47
What happened after the shooting?
40:50
Yes, an MPR producer and I went there
40:52
as word was spreading.
40:53
Lots of people were streaming in to see
40:55
and to protest.
40:56
There were dozens of people across several blocks.
40:59
I did not see rioting.
41:01
Local police officers used multiple rounds of tear
41:04
gas to try and disperse the crowd.
41:06
They say, look, it's a crime scene.
41:08
Now, Linda Gottlieb was among those there.
41:10
She was standing a few feet from a
41:12
line of local police officers in full face
41:14
masks and riot gear.
41:16
She's a health care worker and is frustrated
41:18
and upset about this weeks-long federal surge.
41:22
They're trying to have the narrative be that
41:23
the people are the aggressors.
41:25
But we have seen on video and we've
41:27
heard people testify to the fact that, no,
41:30
they are being illegally detained and assaulted and
41:33
sustaining injuries.
41:33
And this is absolutely counter to everything our
41:36
country stands for.
41:37
Our country stands for the First Amendment, which
41:40
is the right to peaceably assemble, which, by
41:44
the way, in constitutional law, even local government
41:48
can determine where and at what time.
41:51
Peaceably assembling is not walking around in the
41:54
streets and blowing air horns and whistles and
41:57
throwing stuff at them.
41:58
It's just not.
42:00
I'll add that just yesterday there were thousands
42:02
of people filling downtown streets here in a
42:04
very peaceful rally, demanding that some 3,000
42:08
federal immigration agents leave their city.
42:11
Now, Jennifer, the Trump administration has been quick
42:13
to denounce the man who was killed, calling
42:15
him a, quote, domestic terrorist, blaming the shooting
42:18
on local and state officials.
42:19
What are those Minnesota officials saying?
42:22
You know, we've heard outrage and frustration from
42:24
them.
42:25
Governor Tim Walz says the federal government cannot
42:27
be trusted to handle the investigation.
42:29
The State Bureau of Criminal Apprehension says DHS
42:32
is blocking its investigators from the scene.
42:35
And remember, DHS said it's not even investigating
42:37
the agent who shot and killed Renee Good
42:39
earlier.
42:40
Here's Governor Walz today.
42:42
We continue to hear and we heard it
42:43
from the vice president that these folks can
42:46
do whatever they want.
42:47
They can have full immunity.
42:48
And what I'm telling you is they will
42:49
not.
42:50
There will be justice to Minnesotans.
42:52
Now, it seems like you're allowing your peaceably
42:54
assembled constituents do whatever they want.
43:01
Yeah.
43:02
This is so good for Walz.
43:04
So good for him.
43:06
Wow.
43:07
It's almost a godsend for him.
43:09
For now.
43:10
For now.
43:11
They have to, that guy should be arrested.
43:14
Probably.
43:15
They haven't arrested anybody.
43:17
I mean, they just don't, like this church
43:20
thing with the Don Lemon thing, which I
43:22
have some thoughts on, by the way.
43:23
I know you have some thoughts on it.
43:25
I do have a completely different thesis than
43:28
everybody else.
43:29
But the, it's like the Don Lemon thing.
43:33
Okay, so they arrested three people, the ringleaders,
43:36
basically.
43:37
And there was another 20 or 30 people.
43:39
Why aren't they getting arrested?
43:40
It was the same violation of the FACE
43:43
Act.
43:44
Why don't they pick them all up?
43:45
The funny thing about the FACE Act is
43:47
it was written initially to keep church people
43:51
away from abortion clinics.
43:53
It's amazing to see this flip-flop then
43:55
used by the church people on the abortion
43:57
crazies.
43:58
Well, the funny thing is about that FACE
44:00
Act, when it was proposed by the Democrats,
44:04
the Republicans thought it was a bit much.
44:06
It was so lopsided.
44:07
And so the Democrats agreed to allow the
44:11
mention of churches in the act as a
44:15
quid pro quo.
44:16
Okay, we'll give you the abortion clinics.
44:18
You've got to give us the churches.
44:20
And so it went through that way.
44:22
And now it's being turned on its head.
44:25
But that's still beside the point.
44:28
Where's the other arrests?
44:30
Oh, I'm in complete agreement with you.
44:32
It's trespassing.
44:33
They should be arrested for trespassing.
44:35
They should be arrested for the FACE Act,
44:38
which is a lot stronger than trespassing.
44:40
I'm just saying, at minimum, is what I
44:42
said, for trespassing.
44:45
I don't know.
44:46
I don't know.
44:47
I mean, they're too busy doing other stuff.
44:50
There's very busy days.
44:52
They're too busy not arresting people.
44:55
Oh, can we?
44:56
No, they're not going to arrest him either.
44:58
So let's, was that the third clip?
45:01
No, that was the second.
45:02
No, the third one is short.
45:03
Is that some kind of kicker?
45:04
A little kicker.
45:06
Walz says the state is creating a log
45:08
of evidence for possible future prosecution of immigration
45:11
agents.
45:12
And how worried, quickly, are people about things
45:14
escalating?
45:15
You know, there's concern.
45:16
Governor Walz has activated the Minnesota National Guard
45:19
to help local police with protests.
45:21
Meanwhile, President Trump has accused him and the
45:23
mayor of inciting insurrection.
45:25
That's meaningful because he's repeatedly threatened to invoke
45:28
the Insurrection Act and has put about 2
45:30
,000 active duty military soldiers on standby for
45:33
possible deployment to Minnesota.
45:35
NPR's Jennifer Ludden, thank you.
45:37
And I think this is really what they
45:39
want.
45:40
They really want Trump to deploy National Guard
45:42
or federal troops or whatever it is.
45:45
They want to have militarization so that they
45:48
can really go into the 2026 election with
45:52
their message.
45:53
Right.
45:55
One of our producers.
45:57
Which is why they should start arresting people
45:59
because they're not going to win the 26
46:01
elections anyway.
46:02
One of our producers, David Atima, I think
46:06
he's a knight.
46:07
He had a very good catch from episode
46:10
1836.
46:12
Funny enough, one of your clips, the David
46:14
Brooks clip, regarding Minnesota.
46:18
And listen to what David Brooks said in
46:20
that clip, which I don't know.
46:21
I don't think either of us, we didn't
46:23
discuss it.
46:24
I certainly didn't catch it first go around.
46:26
And I've long thought if Americans see deportations
46:30
of respectable families, they will finally rebel against
46:34
this regime.
46:35
And not just the progressives and not just
46:37
Democrats, but normal people who are like, what
46:39
the heck is going on here?
46:41
Not just liberals and Democrats, but normal people.
46:46
I thought that was an outstanding catch.
46:49
Wow.
46:50
Yes, that's a 10 pointer.
46:52
That's a slam dunk.
46:54
That's a game winner.
46:57
That is a terrific catch.
46:59
How did we miss that?
47:01
I think it's because we both heard regime
47:04
and we're like, oh, yeah, we're focused on
47:06
the regime.
47:07
Let's listen.
47:08
And this, again, is why video is destructive
47:11
to analysis.
47:12
And I've long thought if Americans see deportations
47:15
of respectable families, they will finally rebel against
47:20
this regime.
47:20
And not just the progressives and not just
47:22
Democrats, but normal people who are like, what
47:25
the heck is going on here?
47:26
Normal people, normal people, not the crazy progressives.
47:32
Wow.
47:34
So allow me to play a few clips
47:36
here.
47:37
The first one, another great observation.
47:42
And this does come from black tick tock,
47:45
but it's it's not your typical tick tock
47:47
video.
47:48
It is an in-car recorded video.
47:50
So, you know, it's official.
47:52
An excellent point here.
47:54
You know why you're not seeing a lot
47:55
of black people out there protesting against ICE?
47:57
You know why you're seeing predominantly white people
47:59
only at these events?
48:00
It's because back in 2020, the Democrats utilized
48:03
the black demographic to go out and riot
48:05
and act a fool.
48:06
And they said, oh, if you just elect
48:07
us, we'll give you reparations and we'll force
48:10
the police to wear body cameras and all
48:12
these wonderful, amazing things.
48:14
Right.
48:15
So black people showed up like we are
48:17
known to do.
48:17
And we voted up and down for one
48:19
side of the aisle.
48:19
And what do we get for it?
48:20
Nothing, as usual, because many of us never
48:22
learn.
48:23
But now here in 2026, we're seeing individuals
48:26
who were slavishly devoted to the Democrat Party.
48:28
Now they're seeing the Democrats over their entire
48:30
four years in office under Joe Biden.
48:32
They went out of their way to ingratiate
48:34
themselves to illegal immigrants.
48:35
And they sometimes prioritized illegal immigrants, even in
48:38
black communities, ahead of black American citizens.
48:40
And black people are sitting there saying, wait,
48:42
you said you're going to give us reparations,
48:43
you're going to give us X, Y and
48:44
Z.
48:45
We got nothing for it.
48:46
So the silver lining is a lot of
48:47
people are waking up and realizing the Democrats
48:49
are only courting their next prospective voting bloc.
48:52
They want to exploit illegal immigrants for an
48:54
entire generation, much like they exploited the black
48:56
community for the previous several generations.
48:58
And they're daring you to call them out
49:00
on that and see it for what it
49:01
is.
49:01
So if you're wondering why you only see
49:03
predominantly white liberals out here acting a fool,
49:06
rioting and protesting against ICE, it's because ICE
49:08
is threatening their ability to cater to that
49:11
next demographic that they desperately want to lock
49:13
in for an entire generation.
49:15
Exactly, exactly what's going on here.
49:19
Dead people be damned.
49:21
They do not care.
49:23
You know, I went back and I looked
49:24
up the Iliad because we were laughing about
49:26
it.
49:29
So just to reiterate, Iliad Gonzales, this is
49:32
1999.
49:35
There's a front page everywhere.
49:37
Before smartphones and people were still blogging.
49:40
We didn't have the social media, barely blogging,
49:43
I might say.
49:45
What kind of blogs were there at the
49:47
time?
49:47
Was Blogger a thing?
49:48
It was the early blogs.
49:49
Blogger was out there.
49:51
Yeah, Blogger.
49:52
And a couple of these systems.
49:53
And splashed across the front pages of all
49:57
newspapers.
49:57
You go look it up.
49:58
Iliad Gonzales, this five-year-old kid.
50:01
And there is what we would today call,
50:03
it didn't exist then, an ICE agent with
50:06
a submachine gun sticking in this five-year
50:09
-old kid's face.
50:10
His eyes are bugged out wide.
50:12
Yeah, it's great.
50:13
I mean, it was just outrageous.
50:17
I looked this up.
50:18
What happened was, this was the big election
50:24
between Bush and Gore.
50:27
And they wanted to get the Cuban-American
50:31
voting bloc.
50:36
And so this was, this happened.
50:38
The Republicans did.
50:39
Oh, yeah, the Republicans.
50:41
Exactly.
50:43
This was right before the election.
50:45
All these things, it always happens when it's
50:48
elections.
50:50
And then you just want to make one
50:52
side or the other look bad.
50:54
And if it can get a five-year
50:56
-old kid, like we've seen this kid with
50:58
a little rabbit hat.
50:59
I mean, it's heartbreaking, of course.
51:01
It's a heartbreaker, yeah.
51:02
It's a total heartbreaker.
51:04
You're looking at this.
51:05
Poor little kid.
51:06
Yes, of course it's horrible.
51:08
It is meant to tug at the heartstrings
51:10
and think the other side is evil.
51:13
But we can't blame ICE or the protesters
51:17
because what's really happened here is you have
51:20
two things.
51:21
You have people obstructing law enforcement.
51:25
And then you have the local officials, the
51:28
local leaders, I just say the blind leading
51:30
the blind, telling them to get out on
51:33
the street.
51:34
Put your body on the line.
51:36
And continuously making this law enforcement, what truly
51:41
is law enforcement, but it turns into a
51:43
complete mayhem when people are told go out
51:47
and protest against them.
51:50
Let's look at the core issue.
51:52
The core issue is lost in this.
51:55
And I did just a little mini supercut
51:57
because we have been told what is happening
51:59
over and over and over again.
52:02
And I think because our president usually speaks
52:06
in some parables that we can't even decipher.
52:11
Although it's true.
52:12
And sometimes like what is the guy trying
52:14
to tell me here?
52:15
But this is what he has said for
52:18
the past 10 years as a candidate and
52:21
as president.
52:21
Nearly 180,000 illegal immigrants with criminal records
52:28
ordered deported from our country are tonight roaming
52:32
free to threaten peaceful citizens.
52:36
They are being released by the tens of
52:39
thousands into our communities with no regard for
52:44
the impact on public safety or resources.
52:47
They're poisoning the blood of our country.
52:49
That's what they've done.
52:50
They poison mental institutions and prisons all over
52:54
the world.
52:55
Not just in South America, not just the
52:57
three or four countries that we think about,
52:59
but all over the world.
53:00
They're coming into our country from Africa, from
53:04
Asia, all over the world.
53:05
They're pouring into our country.
53:07
Nobody's even looking at them.
53:08
They just come in.
53:09
As I've said many times, the Maduro regime
53:12
emptied out their prisons, sent their worst and
53:15
most violent monsters into the United States to
53:18
steal American lives.
53:20
And they came from mental institutions and insane
53:24
asylums.
53:25
They came from prisons and jails.
53:27
They sent from their mental institutions.
53:29
They sent from their jails, prisons.
53:31
They were drug dealers.
53:33
They were drug kingpins.
53:34
They sent everybody bad into the United States.
53:37
We will begin removing the more than two
53:40
million criminal illegal immigrants from the country.
53:44
Deport all criminal aliens and dismantle every last
53:47
criminal gang and cartel threatening our citizens.
53:51
Drug dealers, gang heads, gang members.
53:55
Right, so right away in the troll room,
53:57
Trump is a dog whistling piece of shit.
54:00
Okay, exactly, because his parables are not understood.
54:04
I came across an interview with Peter Schweitzer.
54:08
He has a new book out.
54:10
Peter Schweitzer we know from Clinton Cash, which
54:13
I know I read.
54:14
You might have read it too, which was
54:16
really good, very detailed.
54:20
He's written a number of these books.
54:22
I'm pretty sure he's a spook or was,
54:27
you know, George Washington University, Young America Foundation.
54:30
The kind of information he has is kind
54:32
of spook-adjacent.
54:35
St. Cross College, this is a spook school.
54:39
So I'm pretty sure he's a spook or
54:41
former spook or spook-adjacent, but he does
54:44
have information.
54:45
And he's written this new book called, titled
54:48
The Invisible Coup.
54:50
And he takes us back to when, what
54:53
the Trump, what the Trump, what the Trump
54:55
is talking about is actually true.
54:58
I think it should be the Trump.
54:59
We're going to call him the Trump from
55:00
now on.
55:01
Listen to this.
55:03
Back in 1980, the Mariel boat left.
55:05
And a lot of people that were around
55:07
will remember that the United States was flooded
55:10
with Cuban refugees.
55:12
And Jimmy Carter.
55:13
These were the Cuban boat people that came.
55:15
Remember, they were, they were floating.
55:17
They were coming over on everything.
55:18
On inner tubes, all kinds of stuff.
55:20
When this first started developing said, you know,
55:24
we're a compassionate country, which is true.
55:26
We're going to welcome them with open arms.
55:28
And Fidel Castro told his top aides, well,
55:31
we're going to fill their arms with excrement.
55:34
He used a different word.
55:36
And this was really the first modern example
55:40
of weaponized immigration, because what Fidel Castro recognized
55:44
was we can actually attack the United States
55:49
by sending them criminals, people that are mentally
55:52
ill, but also people that are going to
55:54
set up criminal networks, drug networks inside the
55:59
United States.
56:00
And so what we thought was a sort
56:02
of random humanitarian event was actually a targeted
56:05
attack.
56:06
And I quote from a government panel that
56:08
later looked at the Mariel boat lift and
56:11
concluded that it was probably the third most
56:14
lethal foreign attack on the United States.
56:17
Besides Pearl Harbor and 9-11, the Mariel
56:20
boat lift was probably the third most lethal
56:22
attack.
56:23
So I already got his book and he's
56:26
very detailed with his sources, where it's all
56:29
coming from.
56:30
But it's not all that hidden.
56:32
Now he gives us the Sao Paulo forum
56:34
and who's involved in that.
56:36
And this became a template for a lot
56:40
of modern Latin American leaders.
56:41
In the summer of 1980, when this was
56:44
unfolding, Fidel Castro goes to Nicaragua to meet
56:48
with Sandinista leaders.
56:49
And there's a young revolutionary there named Lula,
56:52
who later today is the president of Brazil.
56:56
And he sets up an entity called the
56:59
Sao Paulo forum with Fidel Castro, which includes
57:03
progressive leaders from across Latin America and in
57:07
the United States, the Democratic Socialists of America,
57:10
which is Bernie Sanders and the OCC group.
57:12
And the Sao Paulo forum has weaponized immigration
57:17
against us today.
57:18
And that includes the Marina Party of Mexico
57:21
and Petro, the leader of Colombia and a
57:24
whole host of other countries who have adopted
57:27
this as their strategy to defeat the United
57:30
States.
57:31
Enter Mexico, who has quite the plan, apparently.
57:34
And I always thought of Mexico in the
57:37
context of, OK, you've got kind of this
57:38
hapless government and it's corrupt.
57:40
And they're kind of glad for mass migration
57:43
because now they don't have to feed their
57:44
own people.
57:45
The reality is, in their own words, they
57:49
view immigration very differently.
57:51
But this is from a government report.
57:54
This is a report written by one of
57:56
President Scheinbaum's top aides in December of 2024.
58:00
We already know that the Mexican population in
58:03
the United States reaches thirty nine point nine
58:05
million.
58:06
We Mexicans are reclaiming our territory.
58:10
That's from December of twenty twenty four.
58:12
Here's a powerful senator who's also a member
58:15
of the Marina Party, who sits on the
58:17
National Defense Committee, which is the most powerful
58:19
committee in the Mexican Senate.
58:21
We Mexicans are in our territories, California, Nevada,
58:26
Texas, Utah, New Mexico, Arizona, Kansas, Oklahoma, Colorado
58:31
and Wyoming.
58:32
We're going to take back the territory that
58:34
was stolen from us.
58:36
They have actually created a network and infrastructure
58:39
inside the United States.
58:42
And this infrastructure, this includes Mexican government officials
58:45
inside the United States who are organizing violent
58:49
protests like those that hit Los Angeles, those
58:51
that are in Minneapolis.
58:52
And they are actively participating in our politics.
58:57
They are working to elect Democrats who are
59:01
sympathetic, a foreign government to elect Democrats who
59:04
are sympathetic to them on immigration and working
59:07
to defeat President Trump through Mexican consulates that
59:11
are across the United States.
59:13
I don't doubt this at all.
59:15
It sounds completely plausible.
59:18
Yeah, that's why the Mexican flag is always
59:20
prevalent at these things.
59:23
Exactly.
59:23
And here's a little.
59:24
You get a clue, people.
59:25
What are you?
59:25
Why are these guys flying a Mexican flag
59:28
in Los Angeles?
59:29
Come on.
59:30
Here's a little bonus clip.
59:31
Mexico has a reputation for being kind of
59:34
a sleepy, corrupt government and people don't take
59:37
them seriously.
59:38
I think we should.
59:39
Mexico has 53 consulates in the United States.
59:43
Fifty three.
59:44
In contrast, the two other countries with the
59:47
most are China and the United Kingdom with
59:50
six and seven.
59:53
So I don't doubt that the Trump is
59:56
telling the truth, but he he speaks it.
59:59
So, I mean, he just he's so repetitive
1:00:01
that I was like, yeah, whatever.
1:00:03
Where are they?
1:00:04
My cleaning lady doesn't seem to be dangerous.
1:00:07
But I completely believe that all these different
1:00:10
countries have indeed emptied their jails and there's
1:00:13
insane asylums.
1:00:14
And well, when they could send people over,
1:00:18
I don't doubt that at all.
1:00:19
And he says, well, maybe two million of
1:00:21
them, quite possibly.
1:00:23
And then this is the final clip.
1:00:25
This is just an extra bonus.
1:00:28
This is a quote from twenty twenty three
1:00:30
that I think lays out the fact that
1:00:32
they want this to be silence.
1:00:34
Again, this is from twenty twenty three.
1:00:35
The head of the Mexican news agency, which
1:00:38
is like their sort of associated press.
1:00:41
He says, quote, We are quietly carrying out
1:00:43
the reconquest of our territories in the US
1:00:46
taken from us in 1848.
1:00:49
The reconquest of the Aztec territory is silent.
1:00:53
And the day that the gringos realize this,
1:00:57
their diabolical fundamentalism will become macabre.
1:01:01
In other words, we need to keep this
1:01:03
quiet.
1:01:03
We don't want to talk about it publicly
1:01:04
because when the gringos, as he says, find
1:01:07
out, they're going to be really, really angry
1:01:10
about it.
1:01:10
So we need to recognize what's going on,
1:01:14
have an honest conversation about it.
1:01:16
There are dozens of these quotes in the
1:01:18
book for Mexican officials.
1:01:19
And we go through and name the Mexican
1:01:23
government officials who were at the center of
1:01:26
the L.A. riots last year who are
1:01:29
manipulating our politics.
1:01:31
Yeah, I think the Trump is right.
1:01:35
And this is what ICE is going after,
1:01:38
after these elements that have infiltrated our country.
1:01:42
He's right.
1:01:44
But I, I just kind of glossed over
1:01:46
it, too, like, whatever.
1:01:48
I've heard it a million times.
1:01:50
Where are they?
1:01:51
But the fact that they have colluded with
1:01:53
the Democrat Party, certainly in the Los Angeles,
1:01:57
quote, unquote, riots.
1:01:59
If you see the organization, it doesn't surprise
1:02:02
me at all.
1:02:02
So stuck in the crosshairs of this is
1:02:06
law enforcement and citizens who really have been
1:02:09
told they're doing the right thing.
1:02:11
You are you're compassionate, you're empathetic, and you're
1:02:15
a good person.
1:02:16
And liberals love being good persons in general.
1:02:20
And but this is an actual battle.
1:02:25
And I'm I can't wait to see what
1:02:27
Schweitzer what else Schweitzer has in his book,
1:02:29
because I'll bet there's a lot more to
1:02:31
this.
1:02:32
Yeah, I got to read this thing.
1:02:34
Right.
1:02:34
I know.
1:02:36
I know.
1:02:36
Thanks.
1:02:37
You're welcome.
1:02:40
So, you know, tragedy of foolishness.
1:02:44
And blood guilt, the way I see it,
1:02:47
between foolish people who have been told who
1:02:51
somehow believe that it's their right to peacefully
1:02:53
protest, which is not peaceably assemble.
1:02:57
Yes.
1:02:58
And they're being told by their actual elected
1:03:01
representatives what to do.
1:03:02
And those representatives, in turn, are taking apparently
1:03:07
taking commands from other countries because, hey, we'll.
1:03:11
They should arrest Walls and that Frye guy,
1:03:15
a guy's an idiot.
1:03:16
Yeah, they should, because people are going to
1:03:19
get hurt.
1:03:19
But they're not going to arrest.
1:03:21
I mean, they're going to arrest a ringleader,
1:03:23
which brings me to the Don Lemon thing.
1:03:25
I just want to get this out of
1:03:26
the way.
1:03:27
Don Lemon, which you made a point of,
1:03:30
you know, we didn't talk about it, but
1:03:32
I'm going to talk about it.
1:03:33
As far as I can tell, looking at
1:03:35
the just the way it went down, Don
1:03:38
Lemon is a CIA for the FBI.
1:03:42
There's no doubt in my mind about this
1:03:45
as in confidential informant informant.
1:03:48
And he's probably getting paid because the way
1:03:51
he set up that woman who organized the
1:03:55
church invasion was so obvious.
1:03:58
He did a long interview with her.
1:04:00
She just basically convinced I'm sorry, confessed on
1:04:04
camera everything.
1:04:06
She was going to do all the illegal
1:04:07
action, everything in between.
1:04:09
You even had a name for the operation,
1:04:11
Operation Pull Up, which I still can't figure
1:04:14
out.
1:04:14
But, yeah, good point.
1:04:15
And so he got that on tape and
1:04:17
then he went in there and he made
1:04:19
a fool of himself.
1:04:20
And and then he then they put the
1:04:22
indictment or the arrest warrants out for three
1:04:25
individuals.
1:04:26
And they left and included it for actually
1:04:28
because Don Lemon was on it.
1:04:29
And the judge refused to indict or have
1:04:36
Don Lemon arrested.
1:04:37
Yes.
1:04:38
Well, this was a major screw up because
1:04:40
when you have a CIA, he gets caught
1:04:43
up in it.
1:04:44
He gets arrested.
1:04:46
That's the idea.
1:04:47
You don't want to make it appear.
1:04:48
And the judge who let him go, his
1:04:52
wife works for AG, the attorney general of
1:04:56
Minnesota.
1:04:58
Nice catch, Ellison.
1:05:00
And so she probably thought, well, you know,
1:05:03
hey, he's working for the actually working for
1:05:04
the FBI.
1:05:04
Oh, OK.
1:05:05
I won't arrest him because I want to
1:05:06
give him a break.
1:05:07
Not knowing the playbook, Pam Bondi has to
1:05:11
fly.
1:05:12
She says, I'm flying to Minnesota.
1:05:13
She's got to literally fly out there and
1:05:15
she can't do it over the phone.
1:05:17
She has to fly through and read this
1:05:19
guy, the riot act, why he screwed up,
1:05:21
because Lemon has to be arrested.
1:05:24
Otherwise, otherwise is blown or his covers blown.
1:05:28
And it is blown as far as I'm
1:05:29
concerned already.
1:05:30
Yeah.
1:05:30
But his his whole game was being being,
1:05:33
you know, he needs money.
1:05:35
And the giveaway was when he was.
1:05:37
He does.
1:05:40
Honey, I'm going to I got to take
1:05:42
this gig, honey.
1:05:42
I'm sorry.
1:05:43
I just have to.
1:05:44
Oh, you know, you know the type of
1:05:46
guy he is.
1:05:47
He's one of those guys who thinks it's
1:05:48
cool.
1:05:49
Yeah, of course.
1:05:50
And so he would.
1:05:51
So he's so he gets gets himself involved
1:05:54
in this whole thing.
1:05:56
But the giveaway was a clip you played
1:05:59
on another show that was him.
1:06:02
And this is a clip that I thought
1:06:03
about getting.
1:06:04
But I hate these people.
1:06:05
This is the I've had it podcast of
1:06:07
the putty faced woman.
1:06:09
I talked about her in the newsletter.
1:06:11
Yes.
1:06:12
Jennifer Welch.
1:06:13
And she has Don Lemon on.
1:06:15
And Lemon's going on and on about what
1:06:17
happened.
1:06:18
Oh, and he says and he uses the
1:06:20
term my producers.
1:06:22
Yes.
1:06:24
My what is a guy who is a
1:06:26
podcaster that need that indicates multiple people, my
1:06:32
producers.
1:06:34
And, you know, you might want an engineer,
1:06:36
you know, or something.
1:06:37
There's different kinds of you're going to go
1:06:38
a solo and do what he's doing.
1:06:40
You don't need producers, but his producers, his
1:06:43
handlers, one of them is obviously the FBI
1:06:46
guy.
1:06:47
This is so phony.
1:06:49
But poor Don Lemon.
1:06:50
Now it's going to have to be good
1:06:52
because you will probably arrest him to try
1:06:54
to make make amends.
1:06:56
And then they're going to have to decide
1:06:57
what are we going to do with him?
1:06:59
Will Don, you'll get a slap on the
1:07:01
wrist, maybe.
1:07:02
But maybe Don can say, hey, you know,
1:07:05
if you put me in jail for four
1:07:07
months at some really lush place, I might
1:07:09
meet somebody.
1:07:11
No, no.
1:07:12
It would be it would go like this.
1:07:13
It would be I have street cred.
1:07:15
I can do a lot of better job.
1:07:18
Do you want to hear?
1:07:18
I have that clip if you want to
1:07:19
hear it.
1:07:20
The play that clip.
1:07:22
Yeah, here we go.
1:07:23
And there's a certain degree of entitlement.
1:07:24
I think people who are, you know, in
1:07:26
religious groups like that, it's not the type
1:07:28
of Christianity that I practice, but I think
1:07:31
that they're entitled and that that entitlement comes
1:07:33
from a supremacy, a white supremacy.
1:07:36
And they think that this country was built
1:07:38
for them, that it is a Christian country.
1:07:39
When actually we left England because we wanted
1:07:41
religious freedom.
1:07:42
It's religious freedom.
1:07:43
But only if you're a Christian and only
1:07:45
if you're a white male, pretty much.
1:07:47
And so, yeah, I absolutely 100 percent.
1:07:49
But it's an intimidation tactic.
1:07:51
And, you know, I said, I don't understand
1:07:53
how I've become the face of it when
1:07:54
I was a journalist.
1:07:55
I do understand that I'm the biggest name
1:07:57
there.
1:07:58
And I'm also as I was on with
1:07:59
my producers this morning, you and Kylie talk
1:08:02
all the time.
1:08:02
My producers were saying, I said, how did
1:08:04
I become the face of this?
1:08:05
And my producers said, Don, you're a gay
1:08:06
black man in America.
1:08:08
I take some some kind of pleasure in
1:08:11
knowing that you are listening to me and
1:08:13
Pastor Jimmy and yelling at the podcast.
1:08:16
No, shaking my fist.
1:08:18
Like he's an FBI informant.
1:08:20
Don't you guys see that?
1:08:23
It's an FBI CI.
1:08:25
CI.
1:08:26
So this will play out in some way.
1:08:30
It's already, as far as I'm concerned, the
1:08:31
cover's blown.
1:08:34
But nobody else is seeing this.
1:08:37
Obviously, they wouldn't be all upset.
1:08:38
All the podcast industrial complexes all over it
1:08:42
because, you know, Don Lemon, they hate him,
1:08:44
which is perfect cover.
1:08:46
Oh, and all the the podcast pastors.
1:08:50
Yeah, they've totally they've totally whiffed on that.
1:08:53
I actually have a short clip of the
1:08:56
attorney general, Keith Ellison.
1:08:58
I don't remember what's on it, but it's
1:08:59
only 30 seconds.
1:09:00
The protest is fundamental to American society.
1:09:04
This country started in a protest.
1:09:06
And, you know, it's freedom of expression.
1:09:09
People have a right to lift up their
1:09:11
voices and make their peace.
1:09:13
And none of us are immune from the
1:09:16
voice of the of the public.
1:09:18
So I quite honestly, I think that you
1:09:20
got the First Amendment, freedom of religion and
1:09:22
the freedom of the First Amendment, freedom of
1:09:24
expression.
1:09:25
No.
1:09:26
And I think that, you know, it's just
1:09:28
I think it's just something to live with
1:09:31
in a society.
1:09:32
He breaks up there.
1:09:34
Well, that's terrible.
1:09:35
Yeah.
1:09:35
That's why I didn't play it, I guess.
1:09:37
Yeah.
1:09:37
There's something fishy about that guy, too.
1:09:39
I mean, that's not even a jurist who's
1:09:42
speaking there.
1:09:42
I mean, our country started with the protest.
1:09:46
Mm.
1:09:48
OK.
1:09:49
I don't think so.
1:09:52
I guess tossing the tea over the there's
1:09:55
a violent protest.
1:09:56
Yeah.
1:09:56
But but that's why we put together a
1:09:59
bill of rights and what and this is
1:10:01
not about.
1:10:02
And I hate it when people in law
1:10:04
say, well, we have these rights.
1:10:06
Now, those the amendments are telling.
1:10:11
No, you hate is when they say the
1:10:12
government is allowed these rights.
1:10:14
Yes.
1:10:15
Well, well, you know, the government conferred.
1:10:18
Yes.
1:10:20
Yeah.
1:10:20
You have these.
1:10:21
Of course it's bad.
1:10:22
Like this is your little sliver of what
1:10:24
you may do.
1:10:24
No, no.
1:10:24
This is what the government may not stop
1:10:26
you from doing.
1:10:27
And that the that always does irk me.
1:10:29
But that's just an education system.
1:10:30
I think you have nailed it on this.
1:10:35
And you're right.
1:10:36
They really screwed up by not at least
1:10:39
detaining him overnight.
1:10:40
I mean, even that would have given him
1:10:43
enough street cred to talk about.
1:10:45
He had to use a toilet paper roll
1:10:47
as a pillow.
1:10:50
Yeah.
1:10:51
All the good stuff.
1:10:55
That happened to a friend of mine, a
1:10:57
pilot.
1:10:58
He flew to Cancun for New Year's with
1:11:00
his wife.
1:11:01
And he has his own plane.
1:11:04
And, you know, here in Texas, we have
1:11:05
a flight bag.
1:11:06
Just throw the flight bag in.
1:11:08
And, you know, it's got your your iPad,
1:11:10
your chart charts anymore.
1:11:12
But, you know, like a backup radio, just
1:11:14
your flight back.
1:11:15
And so on the way out as he's
1:11:17
leaving, which is when and he has a
1:11:20
small turboprop.
1:11:21
So not a not a private jet or
1:11:23
anything.
1:11:24
But this was the moment when everyone with
1:11:26
a private jet just decided to leave.
1:11:28
So they had extra security.
1:11:30
He puts his bag on the belt and
1:11:32
he sees all these guys coming around.
1:11:34
They're looking at the bag and and he
1:11:36
left his handgun in it.
1:11:39
So he gets arrested.
1:11:41
And of course, they're, you know.
1:11:42
Wait a minute.
1:11:43
Stop.
1:11:45
He's on a he's got a private plane
1:11:47
and they're they're checking his luggage.
1:11:50
Handbag.
1:11:50
Yeah.
1:11:50
On the way out of the airport at
1:11:53
the at the private airfield terminal.
1:11:55
Yeah.
1:11:56
I've never heard of such a thing.
1:11:58
Oh, it's happened to me in Switzerland.
1:12:00
No, it definitely happens for international flights.
1:12:03
They want to make sure you're not smuggling
1:12:05
drugs out or this all.
1:12:07
OK.
1:12:07
All right.
1:12:07
OK.
1:12:08
You know, it's private plane terminal.
1:12:10
And so he has his little nine millimeter
1:12:13
in there.
1:12:13
And they're like, what do you where did
1:12:16
you buy this?
1:12:16
Who did you get this from?
1:12:18
He's like, why would I buy a gun
1:12:19
in Mexico when I can buy one at
1:12:21
Kmart?
1:12:23
He was detained for 48 hours and literally
1:12:26
in a cell.
1:12:28
So that ruined his vacation.
1:12:30
Oh, yeah.
1:12:30
How about his wife who had to just
1:12:32
figure out how to get home on a
1:12:34
commercial flight?
1:12:35
Oh, the horrors.
1:12:37
And I think he wound up paying because,
1:12:39
you know, the consulate got involved and they
1:12:41
got him a lawyer.
1:12:42
And he had to pay twenty four thousand
1:12:45
dollars to the lawyer, most of which was
1:12:48
given out to people in bribes to get
1:12:50
him out.
1:12:52
Mexico.
1:12:53
And here we're just like, yeah, whatever.
1:12:55
We'll protect you.
1:12:58
Just a little contrast there.
1:12:59
Yeah, I'd say that's more than a little
1:13:02
contrast.
1:13:04
And he's leaving the country.
1:13:06
Yeah.
1:13:09
Well, yeah.
1:13:10
Yeah, I got a good one.
1:13:12
And I was like, you didn't call me.
1:13:15
I can't believe you didn't call.
1:13:15
We got robbed the constitutional lawyer.
1:13:17
We've got we got people around.
1:13:20
You know, we got people we can call.
1:13:22
We know people.
1:13:25
I just wanted to play it straight.
1:13:27
Could have had you out in two hours,
1:13:29
man.
1:13:31
So I want to straighten something out from
1:13:33
the last show.
1:13:35
We got your buddy Scott Simpson coming up
1:13:40
to talk about the tree explosions.
1:13:44
Suffer and succotash.
1:13:45
I'm Scott Simon.
1:13:52
Is there anything people can do to.
1:13:54
No, no, not that one.
1:13:55
Hold on.
1:13:56
I'm sorry.
1:13:57
That's the second.
1:13:58
That's part two.
1:13:58
I just see Scott Simon tree protection.
1:14:02
Yeah.
1:14:03
Try it.
1:14:04
You're going to love this.
1:14:05
Sorry.
1:14:08
I caught Simon.
1:14:10
OK, I got you.
1:14:11
The trees don't really explode, do they?
1:14:14
That term of an exploding tree is kind
1:14:17
of a sensationalized headline that gets a lot
1:14:19
of attention.
1:14:20
By the way, I was talking to Tina
1:14:21
about this who grew up in Indiana.
1:14:25
She said never.
1:14:27
It was 10 degrees, eight degrees.
1:14:31
She says she has never, ever heard of
1:14:34
this exploding tree phenomenon.
1:14:37
It's new to me as well.
1:14:39
In reality, the more appropriate term would be
1:14:43
cracking tree.
1:14:45
When it gets cold enough, the sap inside
1:14:47
a tree will actually freeze.
1:14:50
Most of the time, it's a liquid that
1:14:52
has all sorts of sugars and things dissolved
1:14:54
inside it.
1:14:55
When that sap reaches that critical freezing temperature,
1:14:59
which is usually well below 32 degrees, it
1:15:02
will expand.
1:15:03
Just like water will expand when it freezes,
1:15:06
the sap is mostly water and the sap
1:15:08
expands.
1:15:09
This puts tremendous pressure on the inside of
1:15:12
the tree.
1:15:13
If the tree is physically unable to handle
1:15:15
that pressure, it cracks.
1:15:17
That's how it reduces the pressure on the
1:15:21
inside of the tree.
1:15:22
This usually does not kill the tree, but
1:15:25
it can be a safety hazard.
1:15:27
If these large cracks appear in trees that
1:15:30
are around people or buildings or vehicles, an
1:15:34
arborist should look at this tree and determine
1:15:36
if it is a safety hazard.
1:15:38
What's the sound like?
1:15:39
As you can imagine, it takes a lot
1:15:42
of pressure to cause wood to crack.
1:15:46
It would not be uncommon to hear a
1:15:49
large cracking sound, a large popping sound, that
1:15:53
almost sounds like a gunshot.
1:15:55
But it is actually the wood physically cracking.
1:15:59
Any kind of tree is more vulnerable than
1:16:01
another.
1:16:02
Maple trees get most of the attention, given
1:16:05
how common they are and how susceptible they
1:16:08
are to cracking.
1:16:09
Most hardwood trees that lose their leaves in
1:16:12
the winter will crack if it gets cold
1:16:14
enough.
1:16:15
Conifers such as pine trees or spruce trees
1:16:18
can also crack as well.
1:16:20
When the temperature gets down to about minus
1:16:22
20, that's when the sap freezes and you
1:16:25
get this cracking occurring.
1:16:27
That's really cold, isn't it?
1:16:28
The upper Midwest gets these cold temperatures every
1:16:31
few years.
1:16:32
So trees are used to this.
1:16:35
They handle it.
1:16:36
They may have a physical deformation, but they
1:16:39
probably will live through it.
1:16:40
This is interesting.
1:16:41
We have maple guys in Gitmo Nation who
1:16:46
do maple syrup.
1:16:46
You've received maple syrup from them.
1:16:48
So have I.
1:16:49
Yeah, I love maple syrup.
1:16:51
Email me and say, I've never seen this.
1:16:54
We've got maple trees.
1:16:56
Yeah, well, this is a guy who is
1:16:59
some sort of an expert.
1:17:01
But I mean, maybe it doesn't get cold
1:17:02
enough where the maple trees are.
1:17:05
It has to be below 20, minus 20.
1:17:08
Minus 20.
1:17:09
Oh, that's OK.
1:17:10
That's very cold.
1:17:13
And now we play the second piece here.
1:17:16
Yeah, this is just kind of a follow
1:17:18
up.
1:17:18
Is there anything people can do to avoid
1:17:22
their trees cracking?
1:17:24
Realistically, the most practical thing for a homeowner
1:17:26
with a small tree to do is wrap
1:17:29
the tree with tree wrap.
1:17:31
It's sort of like painter's tape or duct
1:17:33
tape that you wrap around the base of
1:17:36
the tree up to the first set of
1:17:38
lower branches.
1:17:39
This can help provide some insulation and hopefully
1:17:42
reduce the likelihood that that small tree is
1:17:46
going to reach that critical temperature at which
1:17:48
it cracks.
1:17:49
Bill McNee of the Wisconsin Department of Natural
1:17:52
Resources, we wish you and your colleagues and
1:17:55
everyone in Wisconsin a good weekend.
1:17:57
Thanks so much, sir.
1:17:58
Thank you for having me.
1:17:59
The more I think about it, I think
1:18:01
lots of these videos that were going around
1:18:04
might have been just AI generated.
1:18:06
You think?
1:18:07
It wouldn't be surprising, would it?
1:18:08
I'd say half the stuff I'm seeing nowadays
1:18:10
is AI generated.
1:18:12
Well, funny you bring that up.
1:18:13
Here to explain CBS News, my last correspondent,
1:18:16
Kelly O'Brien.
1:18:16
I was going to say, I should mention,
1:18:19
dogs do not dance.
1:18:21
OK?
1:18:22
Just note that.
1:18:24
Are you sure?
1:18:25
Are you sure?
1:18:26
Pretty sure they don't dance.
1:18:28
They don't dance.
1:18:28
Here to explain CBS News, Money Watch correspondent,
1:18:31
Kelly O'Grady.
1:18:32
Kelly, good morning.
1:18:33
So what is driving this push to clean
1:18:35
up this AI content and then what protections
1:18:37
are out there that YouTube will put in
1:18:39
place?
1:18:40
So, I mean, there's just been an explosion
1:18:41
of that low quality content, as you said.
1:18:43
To the extent that over a million YouTube
1:18:46
channels each day in December used AI technology
1:18:50
in creating those videos.
1:18:51
Technology.
1:18:51
So it is a lot.
1:18:52
And that creates a number of issues.
1:18:53
One, you have viewer trust issues.
1:18:56
You've got these deep fake videos that look
1:18:57
really real and people don't know if they
1:19:00
are.
1:19:01
And so that also leads to the platform
1:19:03
becoming low quality as a whole, potentially.
1:19:06
And all of those AI slot videos sort
1:19:08
of crowding out legitimate creators trying to make
1:19:11
a living, trying to bring us good content.
1:19:13
And that's, by the way, it's not good
1:19:14
for advertisers or brands either.
1:19:16
No company wants an ad running next to
1:19:18
a bad AI video.
1:19:20
You ask about protections.
1:19:21
YouTube specifically does require any creator that has
1:19:25
created an AI generated video to say so.
1:19:28
Their tool specifically, if you use a video
1:19:31
or you create a video using their tools,
1:19:33
there is a label that comes up.
1:19:34
A label there so you know.
1:19:35
Exactly.
1:19:36
Exactly.
1:19:36
And then in general, the algorithm tries to
1:19:39
down rank low quality content.
1:19:41
It doesn't always work.
1:19:42
And it often comes down to people having
1:19:44
to do this when things are evolving so
1:19:45
quickly.
1:19:46
Yeah.
1:19:47
I'm happy.
1:19:49
The number one progenitor of AI is screwing
1:19:53
themselves.
1:19:53
I completely agree.
1:19:55
I mean, you scroll through YouTube looking for
1:19:58
something.
1:19:59
First of all, all the images look like
1:20:01
our art.
1:20:02
You know, everything except for the cartoony ones.
1:20:05
It's all AI generated labels, you know, the
1:20:08
poster images.
1:20:11
Everything looks the same.
1:20:12
If it looks AI, you're going to presume
1:20:14
it's AI.
1:20:15
And then you play it.
1:20:17
And how many times, I don't know if
1:20:18
you've had this, where you're watching this video
1:20:21
and after three minutes, you're like, wait a
1:20:23
minute.
1:20:24
This is just stock footage rotating with a
1:20:26
voiceover.
1:20:26
There's nothing coming up here.
1:20:28
Yeah, I've had that happen.
1:20:30
It's quite annoying.
1:20:32
And it takes minutes.
1:20:33
It's almost like done on purpose as a
1:20:36
joke.
1:20:37
Oh, no.
1:20:37
My favorite thing is wait till the end.
1:20:41
Oh, yeah, wait till the end.
1:20:42
And there is nothing that happens.
1:20:44
Nothing just goes on and just ends.
1:20:46
You won't believe what happens.
1:20:48
Wait till the end of this video.
1:20:50
It's going to be great.
1:20:51
Because that used to mean something like five
1:20:54
years ago.
1:20:55
Wait for it.
1:20:57
And right on the heels of this, of
1:20:59
course, we have something called the Defiance Act.
1:21:02
And it has a celebrity at the forefront
1:21:06
of promoting this act with just a hilarious
1:21:11
side connotation in my book.
1:21:14
Paris Hilton was on Capitol Hill yesterday pushing
1:21:16
for the passing of the Defiance Act.
1:21:19
And it would allow victims of sexually explicit
1:21:22
AI-generated deepfakes to take legal action against
1:21:25
the creators and distributors of that content.
1:21:28
Hilton spoke about the impact a leaked sex
1:21:30
tape had on her life.
1:21:32
She spoke about the fears that girls and
1:21:34
women who could potentially become victims of the
1:21:37
AI pornography.
1:21:38
The bill is championed by New York Congresswoman
1:21:41
Alexandria Ocasio-Cortez.
1:21:43
So what I find just amazing in this
1:21:45
is that the impact the leaked sex tape,
1:21:49
which she filmed herself, had for Paris Hilton
1:21:53
was she became globally famous.
1:21:56
Just like Kim Kardashian.
1:21:59
I mean, they probably want this act passed
1:22:01
so that no other women can get up
1:22:04
into their level of fame.
1:22:06
This is crazy.
1:22:08
Well, that's an interesting analysis.
1:22:10
I mean, she didn't need money being a
1:22:12
Hilton heir, but she became just the thing.
1:22:17
And this kind of attention, the first thing
1:22:19
that got my attention in this attention grab
1:22:22
was they now have the opportunity to sue
1:22:26
the creators.
1:22:27
The creators are anonymous.
1:22:29
They're like hackers and guys who live in
1:22:32
the basement and the kind of crazy guys
1:22:35
and some smart guys and everybody in between
1:22:37
who can do these AI things.
1:22:39
They do them and they slip stream them
1:22:41
into the system where they get passed around
1:22:44
by other people.
1:22:45
And you can't.
1:22:46
How are we going to sue?
1:22:48
Whoever posted it, probably if you post it
1:22:51
on YouTube.
1:22:52
I mean.
1:22:54
It's going to have to be you can't
1:22:56
track down any half the people that are
1:22:57
on YouTube.
1:22:58
You can't track down anybody on TikTok.
1:23:01
Well, I don't know.
1:23:05
Things have changed.
1:23:06
Terms of service change.
1:23:07
It's the deal is done.
1:23:09
An estimated 180 million TikTok users in the
1:23:13
U.S. had been waiting anxiously for the
1:23:15
fate of the app to be determined.
1:23:17
It had been banned by a 2024 law
1:23:19
signed by then President Joe Biden that came
1:23:22
into effect in January 2025.
1:23:24
The law bans social media apps linked to
1:23:27
foreign governments like China from being available in
1:23:30
U.S. app stores.
1:23:32
But on taking office, President Trump signed a
1:23:35
series of executive orders providing for a delay
1:23:38
in enforcing the law to allow time for
1:23:40
U.S. investors to negotiate a deal with
1:23:43
a Chinese parent company.
1:23:44
President Trump acknowledged that users of the TikTok
1:23:47
app had played a significant role in his
1:23:49
election victory.
1:23:51
Essentially, with TikTok, I have the right to
1:23:53
either sell it or close it.
1:23:56
And Vice President J.D. Vance also played
1:23:58
a role in pushing for a deal.
1:24:00
Of course, we're going to keep on working
1:24:01
at it.
1:24:01
But this deal really does mean that Americans
1:24:04
can use TikTok, but actually use it with
1:24:06
more confidence than they had in the past
1:24:08
because their data is going to be secure
1:24:09
and it's not going to be used.
1:24:13
Oh, I can use it with more confidence.
1:24:15
Confidence of what?
1:24:17
I'm watching dancing dogs and fat chicks falling
1:24:21
on a on a balanced beam and all
1:24:23
this other.
1:24:24
What are they talking about?
1:24:25
I'm only watching it for the amusement.
1:24:28
That Americans can use TikTok, but actually use
1:24:30
it with more confidence than they had in
1:24:32
the past because their data is going to
1:24:33
be secure and it's not going to be
1:24:35
used as a propaganda weapon against our fellow
1:24:37
citizens.
1:24:38
Full details of the deal are still to
1:24:40
be revealed.
1:24:40
The parent company, ByteDance, will still control a
1:24:44
fifth of TikTok equity, but it will be
1:24:46
joined by U.S. tech company Oracle, a
1:24:48
private equity firm, Silver Lake, and the Emirati
1:24:51
-backed investment firm, MGX.
1:24:54
Oracle is owned by Trump supporter Larry Ellison,
1:24:57
who had previously accused the platform of being
1:25:00
pro-Palestinian.
1:25:01
Oracle will manage TikTok's data security, algorithm and
1:25:05
cloud computing, essentially moving control into U.S.
1:25:09
hands.
1:25:09
Yeah, we're going to see dancing Israelis now
1:25:12
on the balance beam.
1:25:13
So, you know, all I learned from that
1:25:16
report, because I have never seen a pro
1:25:20
-Palestinian TikTok ever.
1:25:22
No.
1:25:22
All I got from that report is that
1:25:25
the algo has determined that Larry Ellison is
1:25:28
on TikTok looking for Palestinian material.
1:25:31
Bingo.
1:25:32
And he finds one, he goes, oh my
1:25:34
God, let me look at it again and
1:25:35
again.
1:25:36
And then next thing you know, he's getting
1:25:37
tons of it.
1:25:38
Let me share it.
1:25:39
I got to share it.
1:25:40
I got to share it with my group.
1:25:41
He's sharing it.
1:25:42
So now Larry, the tech genius, has decided
1:25:46
that that's all TikTok is because he doesn't
1:25:49
understand it at all.
1:25:50
Is that what I'm being told?
1:25:51
That's what I'm being told.
1:25:52
Well, the terms and conditions have changed.
1:25:55
Interesting that there is a Middle Eastern co
1:26:00
-owner of this because, of course, you know,
1:26:02
we have to have confidence that it's not
1:26:04
China who has our data.
1:26:06
The language of the new policy I'm reading
1:26:07
from The New York Times was more sweeping.
1:26:09
It said TikTok would use the data collected
1:26:12
from users and third parties to show customized
1:26:14
ads and other sponsored content, both on TikTok
1:26:17
and on other websites.
1:26:19
This is exactly what they accused China of
1:26:22
doing.
1:26:23
Users can adjust their advertising permissions in the
1:26:25
app?
1:26:26
Sure.
1:26:27
Yeah, right.
1:26:29
So this was always about, and it kind
1:26:34
of backfired because it was Google.
1:26:36
Google and Facebook, they hated this because it
1:26:39
was taking their lunch, their lunch money.
1:26:42
It was billions of dollars.
1:26:43
And now, and I'm sure these guys, I'm
1:26:45
sure they'll run it into the ground.
1:26:47
There's no vision behind it.
1:26:49
You know, that's fine.
1:26:53
Yeah, they will.
1:26:54
You're right.
1:26:55
Yeah, I don't see it.
1:26:56
They're always right.
1:26:56
They have all this stuff.
1:26:58
Boots on the ground from one of our
1:26:59
Department of War producers, anonymous for obvious reasons,
1:27:05
wants to provide some quick feedback after attempting
1:27:08
to use the Department of War's Gen AI.
1:27:12
Now, do we recall what this Gen AI
1:27:15
was supposed to do?
1:27:16
I don't recall, but I do.
1:27:18
I do recall it, but I don't recall
1:27:21
what it's supposed to do.
1:27:22
Well, it was going to help with operations.
1:27:25
Oh, yeah.
1:27:25
It was going to be a lifesaver.
1:27:28
Yeah.
1:27:29
So he says right now, still the only
1:27:31
LLM implemented is Gemini.
1:27:36
Grok, ChatGPT and Claude are not accessible yet.
1:27:39
So we tried a couple of different things.
1:27:41
He says the military has probably the largest
1:27:44
corpus of data to pull from.
1:27:46
So my first attempt, I figured I should
1:27:48
be able to get Gemini to format a
1:27:49
standard naval letter, considering there's plenty of information
1:27:52
to pull from.
1:27:53
Nope.
1:27:54
In fact, the amount of time it took
1:27:56
me to generate a simple message in official
1:27:58
formatting with multiple prompts attempting to correct it
1:28:01
took me well beyond the time span of
1:28:03
just creating one from scratch.
1:28:05
Right.
1:28:06
This is notable because this is the case
1:28:09
with most AI.
1:28:10
Second, I knew this was a long shot,
1:28:12
but I had a brag sheet for recognizing
1:28:15
someone for their service during the quarter, as
1:28:18
we call them, sailor, soldier, NCO, et cetera,
1:28:21
of the quarter.
1:28:22
Packages have a standard format.
1:28:23
The brag sheet has the relevant data points
1:28:27
to input.
1:28:28
In theory, it should have just plugged and
1:28:29
played what was needed.
1:28:31
Instead, repeat of above.
1:28:34
Last attempt, a real-world case, operational planning.
1:28:38
This was a very simple test.
1:28:39
I grabbed grid coordinates for a known area
1:28:41
that could support one of our rotary wing
1:28:43
platforms, that's helicopters, for a landing zone and
1:28:46
prompted, would these grid coordinates support CV22 land
1:28:51
zone?
1:28:51
I presume that's an Osprey.
1:28:55
What I got was generic information about theorized
1:28:58
capability, but no recommendation because it couldn't assess
1:29:01
the area.
1:29:02
While we have individuals that specifically do this
1:29:05
analysis.
1:29:05
I had to do this site assessment previously
1:29:08
in my career for offhand work, for on
1:29:10
-the-fly medevac landing zones, LZs, landing zones,
1:29:14
on public plan to support training cycles.
1:29:16
Not a big ask, but if it can't
1:29:18
do this basic task, I doubt it can
1:29:20
do anything very complex.
1:29:23
So, these are three of the things that
1:29:26
were promised that would take the Department of
1:29:29
War into the next century of technology.
1:29:32
And it cannot do it.
1:29:34
It did, it took it into the next
1:29:36
century.
1:29:38
That is the next century, hello.
1:29:41
There is some exciting news for both you
1:29:43
and I.
1:29:44
This kind of goes along with my idea
1:29:47
that AI, or whatever you want to call
1:29:50
this, is really great when decentralized, when you
1:29:55
can have it at home.
1:29:58
Enter QUEN3, Q-U-E-N-3-T
1:30:01
-T-S.
1:30:03
This is from the Chinese.
1:30:05
They have open-sourced a very lightweight model,
1:30:08
which does exactly what 11 Labs does.
1:30:12
And you can run it on home computer
1:30:16
stuff.
1:30:18
And there is a GitHub, you can download
1:30:20
it, you can download the models.
1:30:23
And I've tried it.
1:30:25
Give me the name of it again.
1:30:28
QUEN?
1:30:29
That's the, what's the big Chinese Amazon?
1:30:36
What's the Chinese Amazon?
1:30:38
I don't know.
1:30:39
Yeah, you do.
1:30:42
The big...
1:30:43
T-MU?
1:30:43
No, no, no.
1:30:44
To me, it's T-MU.
1:30:44
The big one you buy all the crap
1:30:46
on.
1:30:48
SHI-MU?
1:30:49
No, no.
1:30:50
SHEN?
1:30:51
No, not T-MU.
1:30:54
The one that had the guy who got
1:30:56
kicked out.
1:30:57
Oh, okay.
1:30:58
I can't remember the name.
1:31:00
Alibaba.
1:31:01
Alibaba.
1:31:02
Yeah, Alibaba director.
1:31:04
Low-T.
1:31:05
Low-T.
1:31:05
Instababa.
1:31:06
It was Low-T.
1:31:08
Q-U-E-N-3-T-T-S.
1:31:12
They have a little example.
1:31:15
You can run it on one of their
1:31:17
cloud servers.
1:31:18
I like it.
1:31:19
It's a catchy name.
1:31:20
No, it's not.
1:31:21
It's horrible.
1:31:21
It's a catchy name, yeah.
1:31:22
QUEN-3-T-T-S.
1:31:24
Yeah, that's it.
1:31:25
I'll be loading this up on my Linux
1:31:28
system.
1:31:30
Oh, it runs on Linux?
1:31:33
You can run it on...
1:31:34
I think you can run it on almost
1:31:37
anything.
1:31:38
It's easiest to run it on Linux, yeah.
1:31:41
Because, you know, you have that open web,
1:31:43
open UI, whatever.
1:31:45
You can load all the open source models
1:31:46
on.
1:31:49
But it's good.
1:31:51
It's really surprising.
1:31:52
And you can also sample your own voice.
1:31:55
So that's what I'll be trying.
1:31:57
That's what I've been wanting to do with
1:31:58
11 Labs, but I only use the free
1:31:59
version.
1:32:00
They won't let me do the free version.
1:32:00
No, 11 Labs costs you like $199 a
1:32:03
month to do that.
1:32:04
I'm still not paying.
1:32:05
No, but you're going to use this and
1:32:06
you're going to love it.
1:32:09
You sound correct, sir.
1:32:11
This has John C.
1:32:12
Dvorak written all over it.
1:32:13
I find this fascinating.
1:32:16
This is exactly the problem these guys have.
1:32:19
They're all trying to make all these goodies
1:32:20
for everybody, and meanwhile, the China is just
1:32:23
like, you have this for free.
1:32:26
They're screwing with these guys.
1:32:27
They really are.
1:32:29
It's good.
1:32:30
Well, if it's as good as you say.
1:32:33
I think I've only seen, I've only done
1:32:35
the demo.
1:32:36
I'll get my Spuds Oakley voice.
1:32:39
I'll take it from 11 Labs and give
1:32:40
it to this system.
1:32:42
I can get it for free.
1:32:43
I can have it read a book.
1:32:44
Well, let me give you an example.
1:32:46
I think they have.
1:32:50
First of all, 11 Labs is a terrific
1:32:52
product, so I'm not going to demean them.
1:32:55
Except they just don't need to pay hundreds
1:32:57
of dollars a year for anything.
1:32:59
For a little gag.
1:33:03
Yeah.
1:33:03
No, I agree.
1:33:04
You don't need that.
1:33:06
I can't find the.
1:33:09
I'll have to find the.
1:33:12
I'll just load it.
1:33:15
I'm going to load it and we're going
1:33:15
to test it.
1:33:16
Hugging face demo.
1:33:18
Here we go on hugging face.
1:33:20
Okay.
1:33:21
Give me some text.
1:33:24
Not too long, just because it's a demo.
1:33:26
Give me something for it to say.
1:33:28
Okay.
1:33:28
Now is the time for all good men
1:33:30
to come to the aid of their country.
1:33:36
Okay.
1:33:38
Now, describe the voice.
1:33:40
Just describe it.
1:33:42
The tone.
1:33:42
A husky female lesbian.
1:33:45
Husky female lesbian.
1:33:48
Okay.
1:33:48
Any particular intonation?
1:33:51
With a lisp.
1:33:56
Okay.
1:33:57
I'm going to generate the audio.
1:34:01
Zero GPU queue waiting for a GPU to
1:34:04
become available.
1:34:05
Successfully acquired a GPU.
1:34:07
This is exciting.
1:34:08
We've acquired a zero GPU GPU.
1:34:11
I'm not quite sure what that means.
1:34:12
The progress bar is moving to the left.
1:34:14
I see a waveform starting to appear.
1:34:17
Processing 17, 19, 20 seconds of 26.3
1:34:21
seconds.
1:34:21
This is so exciting, John.
1:34:23
We're about to hear your husky female lesbian
1:34:26
with a lisp.
1:34:27
Here we go.
1:34:27
Here we go.
1:34:28
Now is the time for all good men
1:34:31
to come to the aid of their country.
1:34:36
No lisp, but it wasn't bad.
1:34:38
It was close.
1:34:39
Yeah.
1:34:40
Now, let me just.
1:34:42
It was a nice husky voice.
1:34:44
Speaking excitedly.
1:34:45
Maybe we need to add the.
1:34:47
Yeah, do that.
1:34:48
Oh, I got an error.
1:34:49
Oh, you reached your quota.
1:34:52
Create pro account.
1:34:57
You didn't register.
1:34:59
The Chinese are the same as every other
1:35:01
Silicon Valley company.
1:35:02
Yeah, they're the same douche bags as all
1:35:04
the other software people.
1:35:08
Why not?
1:35:14
I only generated two of these while testing
1:35:17
it before the show, and then I reached
1:35:19
my quota.
1:35:20
Thanks, hugging face.
1:35:24
I'll give it a shot.
1:35:25
I'll load it up, and we'll have some
1:35:26
fun with it in a week from now.
1:35:29
We'll have some fun.
1:35:31
All right.
1:35:32
Let's see.
1:35:33
I haven't asked Adam for a little side
1:35:35
trip here.
1:35:36
All right.
1:35:37
All right, everybody.
1:35:39
It's time to ask Adam.
1:35:41
All right.
1:35:42
What do we have?
1:35:42
I want to preface this by talking.
1:35:44
This is from the CBS Evening News.
1:35:46
And Barry Weiss is under nothing but relentless
1:35:50
attack, including from your buddy, Megan Kelly, who
1:35:56
called her a lesbian.
1:35:57
What?
1:36:00
Tina, how come you haven't?
1:36:02
Tina should have told me this.
1:36:03
She's always on that tip.
1:36:06
She knows all this stuff.
1:36:07
I'm surprised.
1:36:11
So Barry Weiss is under attack.
1:36:14
And there's a good article in The Ringer.
1:36:16
People just look up The Ringer and find
1:36:18
it.
1:36:19
Either search for Barry Weiss or CBS News.
1:36:22
How about Tony Ducapole, who everyone doesn't like
1:36:26
him either, because he's too kind of a
1:36:29
wimp.
1:36:29
Isn't he the guy that introduced Candace and
1:36:32
her beard?
1:36:34
Yeah.
1:36:37
According to Megan Kelly, and this is secondhand,
1:36:42
because this was written in this article.
1:36:45
She says that Ducapole was picked as the
1:36:49
anchor because that's a lesbian's ideal of a
1:36:52
man.
1:36:53
Really?
1:36:54
Yeah.
1:36:54
Because it went on.
1:36:55
It's quite funny.
1:36:56
But they go on and on.
1:36:58
I actually think he does a good job,
1:37:01
to be honest about it.
1:37:01
I think he's fine.
1:37:02
He's as good as Tom Yamas.
1:37:04
Yeah.
1:37:05
And some of these other guys.
1:37:07
He just has to look pretty.
1:37:08
Just look pretty and read the prompters.
1:37:09
It's not all that hard.
1:37:11
Yeah.
1:37:11
That's basically right.
1:37:14
But the problem that's not correctable is the
1:37:19
staff, the infrastructure.
1:37:22
I've said this.
1:37:23
We've said this on the show.
1:37:24
It's kind of a theme.
1:37:25
Don't hire woke people, because once they get
1:37:27
in your organization, they contaminate it and ruin
1:37:31
it.
1:37:31
Yeah.
1:37:31
It's a problem.
1:37:33
And so it's the writing in the back
1:37:35
rooms and the reporters that are all a
1:37:37
bunch of Democrats that are in there, and
1:37:39
you can't get rid of them overnight.
1:37:41
You never will.
1:37:41
And so here's this report.
1:37:43
So this becomes an Ask Adam, because it's
1:37:45
so stupid.
1:37:47
This is Ask Adam.
1:37:49
This is about the murder rate.
1:37:51
And this is the question.
1:37:54
Murders dropped by more than 20 percent last
1:37:56
year, down to what may be the lowest
1:37:58
murder rate in more than a century, according
1:38:00
to a new study.
1:38:01
The Council on Criminal Justice says it crunched
1:38:04
numbers in 40 large cities and found that
1:38:06
carjackings and shoplifting are also down.
1:38:08
And the cause?
1:38:09
Mostly it's Adam.
1:38:13
Answer the question, go.
1:38:15
So my question is, the cause of the
1:38:17
drop of the carjackings and murder rate?
1:38:21
What is the cause?
1:38:23
Don't forget, this is a hundred years.
1:38:26
Oh.
1:38:27
A hundred years of murders.
1:38:28
I know the answer.
1:38:28
They're down.
1:38:29
I know the answer.
1:38:30
I know the answer.
1:38:32
Okay.
1:38:32
Climate change.
1:38:35
That, almost.
1:38:37
Almost.
1:38:38
Hold on.
1:38:40
And the cause?
1:38:41
Mostly it says a return to normal after
1:38:44
the pandemic.
1:38:46
Close enough.
1:38:47
Yeah.
1:38:48
COVID, wait a minute.
1:38:49
COVID was a hundred years ago.
1:38:51
Is that what they're telling us?
1:38:53
So a hundred years ago, after COVID, it's
1:38:56
gone down because of the end of COVID.
1:38:59
Are you kidding me?
1:39:00
What kind of analysis, what logic is it?
1:39:02
Where's the logic?
1:39:04
They said a hundred years, not five.
1:39:09
It should have been climate change.
1:39:11
It would have been much better news.
1:39:12
Climate change would have been a better, actually
1:39:14
would have been a better answer than that.
1:39:16
Yeah.
1:39:17
Well, while we're doing fun stuff, picked up
1:39:20
a Politico interview with the gay general Patton,
1:39:26
known as Scott Besant.
1:39:28
We had a conversation about his script writing,
1:39:32
that someone had written these scripts for him.
1:39:35
You know, if someone's writing scripts, they're giving
1:39:39
him one-liners and he's good at remembering.
1:39:41
Listen.
1:39:42
Some of the European leaders have gotten criticism
1:39:46
from Democrats, people like Gavin Newsom.
1:39:50
Cardi is actually one of the few people
1:39:52
that Newsom has praised.
1:39:53
He said he brought knee pads for some
1:39:56
of the other European leaders that he thinks
1:39:59
have been too accommodating to the president.
1:40:04
I think Gavin Newsom may be cracking up
1:40:06
with some of these things he's saying.
1:40:08
I think he may be in over his
1:40:09
hairdo.
1:40:11
And being on the national stage is very
1:40:13
different than being governor of California with no
1:40:17
signature achievements.
1:40:19
But to say strange things like, President Trump
1:40:22
is a Tyrannosaurus Rex.
1:40:24
What the hell does that mean?
1:40:25
You know, I could say Gavin Newsom is
1:40:27
a brontosaurus with a brain the size of
1:40:29
a walnut.
1:40:31
And if he brought the knee pads, maybe
1:40:33
that was for his meeting with Alex Soros.
1:40:35
I don't know.
1:40:37
Yeah.
1:40:39
The knee pads thing is going to haunt
1:40:41
him forever.
1:40:42
Yeah, but the memes are already out there.
1:40:44
But to have Scott Besant say this, it's
1:40:47
just, it's entertaining.
1:40:49
No, there's something particularly, yes.
1:40:51
It's actually, it's an amplification of the insult
1:40:57
just by the fact that it's Besant, who's
1:41:00
a kind of a milquetoast guy that's got
1:41:03
all these zingers.
1:41:04
Are you kidding me?
1:41:06
In that interview, I didn't clip it.
1:41:07
He says, hey, I'm just a kid from
1:41:09
South Carolina.
1:41:10
He says, I learned to fend for myself.
1:41:13
I kind of believe that.
1:41:15
He just grew up to be kind of,
1:41:16
this whole persona says royal family, not like
1:41:21
I'm going to insult you with a knee
1:41:23
pad retort.
1:41:25
It's just, it's something funny about it.
1:41:28
Yeah, South Carolinians are, you know, when the
1:41:31
Civil War broke out, South Carolina was one
1:41:34
of the succession of states that really was
1:41:37
pushing for a monarchy.
1:41:40
Oh, really?
1:41:41
Yeah, they've always been somewhat regal.
1:41:44
The South Carolinians are regal.
1:41:46
They have a regality that is unparalleled in
1:41:50
the entire country.
1:41:53
Yeah, having been there a couple of times,
1:41:55
I can see that.
1:41:56
They like their little palaces there.
1:41:58
They got those houses, man.
1:41:59
Some of them were just amazing.
1:42:02
We have another one from Scott Besant, although
1:42:03
not as lewd.
1:42:05
This is about Alberta.
1:42:07
Look, Alberta is a wealth of natural resources,
1:42:10
but they won't let them build a pipeline
1:42:13
to the Pacific.
1:42:16
I think we should let them come down
1:42:18
into the U.S. And Alberta is a
1:42:21
natural partner for the U.S. They have
1:42:25
great resources.
1:42:26
The Albertans are very independent people.
1:42:30
Rumors that they may have a referendum on
1:42:33
whether they want to stay in Canada or
1:42:34
not.
1:42:35
Yeah, well, it's not just a rumor.
1:42:37
They say rumors?
1:42:38
Yeah, he said rumor.
1:42:39
That's not a rumor.
1:42:41
No, it's not a rumor at all.
1:42:46
But it may not have been Davos.
1:42:48
That may have been earlier.
1:42:49
But still, the sign-up for the referendum
1:42:53
has been going on for a couple of
1:42:54
weeks now.
1:42:55
I just do have another, because Davos is
1:42:59
kind of wrapped up and just looking at
1:43:02
some, just trolling for some material here.
1:43:05
Bill Gates.
1:43:07
This is so on brand for what he
1:43:09
says here.
1:43:11
It was just mind-blowing that he still
1:43:13
gets away with this.
1:43:15
So the AI is entering into the health
1:43:17
system, but not just into the health system.
1:43:20
It's all the way down to the level
1:43:21
of the patient.
1:43:22
So the patient is able to talk in
1:43:25
their local language and describe what's going on.
1:43:28
And so in order to make this a
1:43:30
reality, to see what works, what doesn't work,
1:43:33
we're thrilled that OpenAI and the Gates Foundation
1:43:36
are committing an initiative called Horizon 1000, where
1:43:43
we'll go into a thousand primary health care
1:43:45
clinics in Africa.
1:43:47
And the goal is to make...
1:43:48
He's like, whatever we can do, let's test
1:43:51
it on the black people over there.
1:43:53
In Africa.
1:43:54
Much higher quality and if possible, twice as
1:43:58
efficient as it is today.
1:44:01
Taking away the paperwork that needs to be
1:44:03
done, organizing the resources, so the patient knows
1:44:07
what's available and when to come for their
1:44:11
appointment.
1:44:11
So there's all sorts of things can be
1:44:14
improved.
1:44:14
So it's basically a chat bot.
1:44:17
You know, Rwanda is a great partner for
1:44:21
the Gates Foundation.
1:44:21
Yeah, oh yeah.
1:44:22
We got lots of cadavers from Rwanda to
1:44:25
test.
1:44:26
And a lot of things.
1:44:27
And so we're thrilled that that's actually the
1:44:29
first country that this work will go into.
1:44:33
We'll certainly also, over time, work in Kenya,
1:44:36
South Africa, Nigeria.
1:44:38
And you have different systems that we have
1:44:42
to connect into.
1:44:44
Although not this initiative, there's obviously a lot
1:44:47
going on in India as well.
1:44:49
And so over the next couple of years,
1:44:51
I would expect developing world health may even
1:44:56
get ahead of rich world because the need
1:44:59
is so great.
1:44:59
And the governments are embracing this and making
1:45:01
sure that it's moving at full speed.
1:45:05
So basically, you go in, the chat bot
1:45:07
says, oh, you need a shot.
1:45:09
Clearly, just stick your arm in here.
1:45:12
We'll give you a shot.
1:45:13
This guy is a ghoul.
1:45:15
He's a total ghoul.
1:45:18
And while we're leaving the World Health Organization,
1:45:21
your state is reentering.
1:45:24
California Governor Gavin Newsom has announced the state
1:45:27
is joining the World Health Organization's Global Outbreak
1:45:31
Alert and Response Network.
1:45:33
There's more.
1:45:34
The announcement comes a day after the U
1:45:36
.S. formally withdrew from the WHO and is
1:45:39
the latest move by Newsom to move California
1:45:42
away from federal health policy.
1:45:45
But wait, this is your state.
1:45:46
This is what your money is going to
1:45:47
be spent on.
1:45:48
And meanwhile, according to an expenditure line item
1:45:51
in the governor's proposed 2026-27 state budget,
1:45:54
the governor is requesting $33,000 for a
1:45:58
self-portrait.
1:45:59
No details on who's going to be painting
1:46:01
that portrait or where it's going to be
1:46:02
displayed.
1:46:03
The full budget is pegged at about $348
1:46:06
billion.
1:46:07
Okay, so two things.
1:46:08
One, $348 billion.
1:46:11
And self-portrait?
1:46:12
Is he going to pay himself?
1:46:14
That's what I said.
1:46:16
That makes no sense.
1:46:17
That'd be a stick figure.
1:46:19
But it'd be, you know, he needs $33
1:46:22
,000.
1:46:24
So he's going to paint himself.
1:46:26
So obviously that was not misreported.
1:46:29
Yeah.
1:46:30
But as usual.
1:46:32
Hilarious.
1:46:32
Just hilarious.
1:46:34
It is funny.
1:46:35
Yeah.
1:46:37
Let's see.
1:46:38
What else?
1:46:40
Do you want to hear Elon from Davos?
1:46:43
He was there?
1:46:44
Oh, yeah.
1:46:45
Oh, yeah, that's right.
1:46:46
I saw him.
1:46:47
Yeah, with Fink.
1:46:49
Fink.
1:46:49
Who was quick to point out everywhere, I'm
1:46:51
interim, co-chair.
1:46:52
Just interim.
1:46:53
I'm only interim.
1:46:54
I'm not part of the World Economic Forum.
1:46:56
I'm just interim.
1:46:57
He had to keep saying it everywhere.
1:47:00
Sticking his finger up.
1:47:01
Interim.
1:47:02
Interim.
1:47:03
So he's got...
1:47:04
So he's the guy running it right now.
1:47:06
He's running it, yeah.
1:47:07
He got the other guy kicked out so
1:47:10
he could take it over so they could
1:47:11
do some deals.
1:47:12
It's all about the deals.
1:47:13
BlackRock deals worldwide.
1:47:14
Yeah, it's all about the deals, of course.
1:47:17
And so he's going to...
1:47:19
Yeah, he's in tight with Trump.
1:47:20
Him and Trump are buddies.
1:47:21
In fact, one of the overlooked details about
1:47:23
his...
1:47:24
Their friend, even though he's a Democrat, Fink.
1:47:29
Jewish, by the way.
1:47:30
Make sure to note that.
1:47:31
Yes.
1:47:31
Troll room, take note.
1:47:33
Take note, troll room.
1:47:34
So Fink is the guy who actually bought
1:47:39
C.K. Hutchinson's ports all over the world
1:47:43
through BlackRock.
1:47:46
And that includes Rotterdam, by the way.
1:47:48
He owns half of Rotterdam's ports now.
1:47:50
Really?
1:47:51
Well, he's in the drug trade then.
1:47:53
And he is the one that made the
1:47:57
Panama deal go through.
1:47:58
He's the one who bought the ports from
1:48:00
the Chinese with BlackRock, which made it easy
1:48:04
so Trump didn't have to make a big
1:48:06
fuss or go to war or anything.
1:48:07
So Trump and him are in bed as
1:48:10
pals.
1:48:11
And as a favorite of Trump, he's the
1:48:14
one who told Newsom he had to cancel
1:48:16
his speech at Davos and he could be
1:48:19
interviewed or something else.
1:48:21
But he got booted out, got pissed off
1:48:23
about it.
1:48:23
That's why he was so irked about the
1:48:26
knee pads and everything else because he thought
1:48:28
that he's being railroaded, which he was, because
1:48:32
he shouldn't be there in the first place.
1:48:34
He's the governor of California.
1:48:35
What's he doing at Davos?
1:48:36
Third largest economy in the world.
1:48:39
Fourth.
1:48:39
And so there is a falling fast.
1:48:42
He said third though.
1:48:43
Well, he's wrong.
1:48:45
And so you end up with this craziness
1:48:49
going on between Fink and Trump which is
1:48:53
not really being noticed enough.
1:48:55
That's good.
1:48:56
I didn't know that he had basically done
1:48:57
the Panama deal.
1:49:02
Yeah.
1:49:02
Oh, that's very interesting.
1:49:05
Of course, it's our money.
1:49:07
Isn't it the U.S. government money?
1:49:10
Whatever.
1:49:11
You can assure it's not Fink's money.
1:49:13
No, it's not his.
1:49:14
So Elon is at Davos.
1:49:17
And I have to say Elon is underwhelming.
1:49:20
He doesn't have a good rap anymore.
1:49:22
The stuff he says is like, okay, whatever.
1:49:26
And he and all these AI guys, whether
1:49:29
it's him or whether it's Altman, it's a
1:49:33
milieu, it's a clique, it's creepy.
1:49:37
And you're right.
1:49:39
It's anti-climatic.
1:49:42
It lacks charisma.
1:49:43
Lacks charisma.
1:49:45
They all are looking up to the left,
1:49:47
you know.
1:49:48
What is that in NLP if your eyes
1:49:51
look up to the left?
1:49:52
You're trying to visualize something.
1:49:55
You're dreaming.
1:49:57
You're dreaming.
1:49:58
You're in a dream world.
1:50:00
You're in a dream world.
1:50:01
Talk like difficult because, you know, I'm a
1:50:07
genius.
1:50:13
What a start.
1:50:16
I mean, the way you think of it
1:50:17
is that if you have a large number
1:50:18
of humanoid robots, the economic output is the
1:50:24
average productivity per robot times the number of
1:50:30
robots.
1:50:31
Wow.
1:50:32
Wow.
1:50:33
Let's listen to that calculation again.
1:50:37
Wait, I got to listen to that.
1:50:39
That was so dumb.
1:50:40
Large number of humanoid robots.
1:50:43
The economic output is.
1:50:45
The economic output of a large number of
1:50:48
humanoid robots is.
1:50:51
The average productivity per robot times the number
1:50:55
of robots.
1:50:56
No.
1:50:57
No.
1:50:58
No.
1:50:59
No.
1:50:59
No.
1:51:00
No.
1:51:00
Say it's not so.
1:51:01
I never would have come up with that
1:51:03
calculation.
1:51:05
Right.
1:51:05
And actually my prediction is in the benign
1:51:09
scenario.
1:51:10
Benign scenario.
1:51:11
That we will.
1:51:12
The robots.
1:51:13
We will actually make so many robots in
1:51:14
AI that they will actually saturate all human
1:51:17
needs.
1:51:18
Meaning you won't be able to even think
1:51:20
of something to ask the robot for.
1:51:23
Yes.
1:51:24
Yes.
1:51:24
I have something.
1:51:25
Could you please do this podcast for us?
1:51:27
That would be very helpful.
1:51:29
Humanoid robot.
1:51:30
At a certain point.
1:51:31
Like there will be such an abundance of
1:51:34
goods and services.
1:51:37
Because my prediction is there'll be more robots
1:51:40
than people.
1:51:42
But how do you then have human purpose
1:51:44
in that scenario?
1:51:46
Yeah.
1:51:46
I mean, you know, there was nothing's perfect,
1:51:49
you know.
1:51:50
Kill all humans.
1:51:52
Human purpose to kill all robots.
1:51:56
But I mean, it is a necessary.
1:52:01
Listen to this.
1:52:02
Like you can't have both.
1:52:03
You can't have work that has to be
1:52:05
done and amazing abundance for all.
1:52:10
What?
1:52:11
Because if it's work that has to be
1:52:13
done and only some people can do it,
1:52:16
then you can't have abundance.
1:52:18
It's narrow.
1:52:19
It's narrow.
1:52:20
Exactly.
1:52:20
Yeah.
1:52:21
We'll wait for it.
1:52:22
It's coming at the end.
1:52:24
And can I say something?
1:52:25
Yeah, of course.
1:52:26
He always underperforms in front of art.
1:52:29
He's not one.
1:52:30
He's like most people.
1:52:31
Supposedly, they can't perform in front of an
1:52:33
audience.
1:52:33
He's not a theater kid.
1:52:36
He's good on one on one interviews when
1:52:38
he's with somebody.
1:52:39
And he can focus on them and skewer
1:52:42
him.
1:52:42
But when he's playing to a large audience,
1:52:45
he's always like this.
1:52:46
He's not good.
1:52:48
He should even do it.
1:52:49
Well, this is a one on one panel
1:52:51
between him and.
1:52:52
Yeah, but there's a bunch of people watching
1:52:55
it.
1:52:55
Yeah.
1:52:55
Well, listen to his vision.
1:52:58
You can't have abundance.
1:52:59
It's narrow.
1:53:00
It's narrow.
1:53:00
Exactly.
1:53:01
So.
1:53:04
But if you have billions of humanoid robots,
1:53:07
I think there will be.
1:53:09
I think I think everyone on Earth is
1:53:11
going to have one.
1:53:12
I'm going to want one because you wouldn't
1:53:16
want a robot to.
1:53:18
All right.
1:53:19
What do you think his examples are of
1:53:21
what the robot what our robots of the
1:53:23
future will do?
1:53:25
Well, what they should do, they do the
1:53:28
dishes and vacuum the floor and they run
1:53:31
errands and they scratch your back.
1:53:35
You know, it's very safe.
1:53:38
Watch over your kids.
1:53:39
Take care of your pets.
1:53:42
Two of the joys in life.
1:53:45
Yeah.
1:53:45
Is why you want the robots are supposed
1:53:48
to free you up so you can do
1:53:50
that activity.
1:53:51
I want to play with my pet.
1:53:53
I want to play with the dog and
1:53:55
you want to, you know, tumble around with
1:53:57
the kids.
1:53:57
Sure.
1:53:58
Here comes the worst one.
1:54:00
If you have elderly parents.
1:54:02
A lot of friends of mine said they
1:54:03
have elderly parents.
1:54:04
It's very difficult to take care of them.
1:54:07
Expenses.
1:54:07
Yeah.
1:54:08
Oh, you know what?
1:54:09
Kill the elder.
1:54:10
Have the robot kill your parents.
1:54:13
There you go.
1:54:14
Now you're being realistic.
1:54:16
It's expensive and it's expensive and they just
1:54:18
aren't enough people to take care of the
1:54:20
enough young people to take care of the
1:54:22
old people.
1:54:22
Wait a minute.
1:54:23
If we have robots, then yes, we can
1:54:25
have the young people taking care of the
1:54:26
old people.
1:54:27
It's by the way, it's enjoyable for the
1:54:29
old people.
1:54:30
And for young people, they might learn something
1:54:32
like don't let the robots take over.
1:54:38
This is.
1:54:39
Yeah.
1:54:39
We teach him something.
1:54:41
Right.
1:54:41
Yeah.
1:54:41
You know, when I was a kid, they
1:54:45
didn't have robots.
1:54:47
I almost expected him to say, you know,
1:54:49
the robot will know when you're out of
1:54:51
milk in the fridge and it'll order new
1:54:53
milk for you.
1:54:53
That's coming.
1:54:54
Well, that would be what I would expect.
1:54:59
And with that, before our children kill us,
1:55:01
I want to thank you for your courage.
1:55:02
Say in the morning to you, the man
1:55:03
who put the C in 53 Mexican consulates,
1:55:06
say hello to my friend on the other
1:55:07
end.
1:55:08
The one, the only Mr. John.
1:55:11
Good morning.
1:55:15
Good morning.
1:55:16
It was a great day.
1:55:17
March of C.
1:55:18
Boots on the ground.
1:55:19
Subs in the water.
1:55:22
And nobody's a nicer in the morning to
1:55:25
the trolls in the troll room.
1:55:26
Let me count your first.
1:55:32
2076 today.
1:55:33
It is a snow day.
1:55:35
That's why everybody's inside and couldn't go to
1:55:38
the mailbox to send us a check because
1:55:41
this will be one of the shorter segments
1:55:42
we do in the lifetime of this show.
1:55:46
The whole idea is value for value.
1:55:48
Then we give you value.
1:55:50
If you don't find it valuable, not giving
1:55:51
them enough value.
1:55:53
I guess, I guess our value is low.
1:55:55
Well, it's, you know, we were beating up
1:55:58
a lot of dead dogs here.
1:56:00
No, we're not.
1:56:01
We've had dead horses.
1:56:02
I'm sorry.
1:56:02
People a whole new perspective on what's happening
1:56:05
in Minneapolis.
1:56:07
I think.
1:56:08
No, I don't think we're.
1:56:09
We're beating up dead dogs.
1:56:11
We're doing horses or horses.
1:56:13
We're doing.
1:56:15
We're not doing what all the other programs
1:56:17
do, which is.
1:56:18
Oh, that's the problem.
1:56:20
You're right.
1:56:20
We're not being in the podcast industrial complex
1:56:23
in the end.
1:56:23
They end the circle jerk.
1:56:25
Yeah, we're not.
1:56:32
He killed him.
1:56:33
No, he didn't.
1:56:33
He didn't have a gun.
1:56:34
Rewind the video.
1:56:35
Let's take a look.
1:56:36
What do you see?
1:56:37
What do you think?
1:56:38
No, we're not doing Zapruder analysis.
1:56:41
We're analyzing your world from a different point
1:56:43
of view.
1:56:44
So we hope you find that valuable.
1:56:46
And you should be listening to us on
1:56:48
one of those very valuable modern podcast apps.
1:56:51
So that you can get the bat signal
1:56:54
when we go live because we do the
1:56:56
show live.
1:56:57
And of course, once we publish it within
1:56:59
90 seconds, you will know.
1:57:01
What?
1:57:02
We're doing it live.
1:57:03
When do we go live?
1:57:05
No one told you?
1:57:07
Value for value is measured in multiple ways.
1:57:10
Time, talent, or treasure.
1:57:15
Meetups are appreciated.
1:57:17
Doing boots on the ground.
1:57:18
Like we had a good boots on the
1:57:19
ground report.
1:57:20
Anonymous Department of War employee from the Navy
1:57:24
apparently.
1:57:26
Yeah, this is all helpful.
1:57:28
This is what makes the show, of course,
1:57:31
is that we have thousands of producers.
1:57:33
Not like Don Lemon, who just has some
1:57:35
FBI handlers.
1:57:36
We have actual producers who know stuff because
1:57:38
they are in the workplace.
1:57:40
They are out in the real world.
1:57:42
And we feel that we are close to
1:57:43
you.
1:57:44
We are connected.
1:57:46
We also have people who are pretty good
1:57:47
at AI stuff.
1:57:50
And they like to prompt a lot.
1:57:53
And we want to thank Blue Acorn.
1:57:54
Blue Acorn, who I think is a real
1:57:57
digital artist.
1:57:59
Obviously, he knew what he was doing when
1:58:01
he created this art for episode 1836.
1:58:04
We titled that Big Bully.
1:58:06
His exploding tree art was spot on.
1:58:10
And everybody got it.
1:58:12
It was meta to the max.
1:58:16
It was the perfect time for this type
1:58:18
of...
1:58:18
If you look at this tree exploding with
1:58:20
the googly eyes and the other trees behind
1:58:24
it all flipping out.
1:58:25
I think it was a perfectly timed, well
1:58:29
-executed hijack of cultural mnemology.
1:58:36
I think so, too.
1:58:37
I like the piece a lot.
1:58:38
I like the two pieces from him.
1:58:39
I also like T-Rex Trump, which I
1:58:42
thought was competitive.
1:58:43
It was.
1:58:44
And so he had heard us going on
1:58:48
and on about the greatness of Darren O
1:58:50
'Neill and Jeffrey Rea.
1:58:51
And said to himself, what am I?
1:58:54
What, a chopped liver?
1:58:56
And so he cranked out a bunch of
1:58:59
stuff.
1:59:01
Obviously, he's in the same category as those
1:59:04
two.
1:59:04
Well, a couple of these guys are back.
1:59:06
Also, hello, Bob Dietrich.
1:59:07
He's moving up.
1:59:09
He's trying to do stuff.
1:59:10
Blue Acorn.
1:59:11
Who else was back?
1:59:12
I saw a couple of Matthew Dropko.
1:59:16
People are back.
1:59:18
Scaramanga.
1:59:19
A lot of people are back.
1:59:20
Once you start singling people out, the ones
1:59:23
who don't get mentioned.
1:59:25
Yeah, they go away.
1:59:26
Which is the way it should be, by
1:59:27
the way.
1:59:28
They get irked.
1:59:30
And the next thing you know, they're cranking
1:59:32
out stuff because they went to chops.
1:59:35
They got chops.
1:59:36
They want recognition.
1:59:38
Like Nick the Rat.
1:59:41
He's doing stuff.
1:59:44
I think he's trying to get into the
1:59:46
AI swing of things.
1:59:47
It's not quite there for him yet.
1:59:49
It takes time.
1:59:50
It does.
1:59:52
It will happen.
1:59:54
I see a Parker Pauly showed up today.
1:59:57
I mean, Eli the Coffee Guy is doing
1:59:59
art stuff now.
2:00:01
So I like the diversity.
2:00:03
I like the diversity of artists and the
2:00:05
diversity of models used.
2:00:07
Finally, we're seeing something different.
2:00:09
So thank you very much, Blue Acorn, for
2:00:11
the artwork for our previous episode.
2:00:14
NoahGenArtGenerator.com.
2:00:15
We should just have a large language model
2:00:18
built right into this thing.
2:00:19
Now I think about it.
2:00:22
So everybody could participate on equal footing and
2:00:25
create all of the same slop.
2:00:28
As part of this value for value, we
2:00:30
always appreciate receiving treasure.
2:00:33
The third of the three T's.
2:00:34
Extremely important to keep the show going.
2:00:37
Many want it to go for four more
2:00:38
years.
2:00:39
We shall see.
2:00:41
And in this, we always thank everybody who
2:00:43
supports us with $50 or above.
2:00:45
And the whole idea is you can send
2:00:47
us whatever value you got out of it.
2:00:49
Just send it back at NoahGenArtGenerator.com.
2:00:52
Jeffrey Alessia is from Bethlehem, Pennsylvania.
2:00:56
He sent us $333.33. He receives an
2:01:00
executive producership title, which is a real title.
2:01:03
You can even use it on IMDB.com.
2:01:05
I do not have a note from Jeffrey.
2:01:07
You just skipped a guy at the top
2:01:09
of the list.
2:01:10
Oh, I'm sorry.
2:01:11
I didn't notice that.
2:01:12
My scroll was off.
2:01:15
Windows.
2:01:17
I'll do the top two then.
2:01:20
Damaskin.
2:01:21
Do you think it's Damaskin or Damaskini?
2:01:25
I have no idea.
2:01:27
He's from Boston or she is from Boston,
2:01:30
Massachusetts.
2:01:31
$343.75. Just Damaskin.
2:01:34
I think it's Damaskin.
2:01:37
There's two different spellings.
2:01:38
You're asking the wrong guy.
2:01:40
With the emphasis on Damaskin.
2:01:44
Oh, Damaskin.
2:01:46
Damaskin.
2:01:47
All right, Damaskin.
2:01:48
Thank you.
2:01:50
$343.75. And there is Jeffrey Alessia.
2:01:53
Bethlehem, Pennsylvania.
2:01:54
$333.33. Double up karma for you.
2:01:57
You've got karma.
2:02:01
And there's Sir Mark.
2:02:03
Sir Mark Bendibus.
2:02:05
Oh, I'm sorry.
2:02:07
Which means bus in Polish.
2:02:12
Bendikowski.
2:02:13
Kowalski.
2:02:15
I think it's Bendikowski.
2:02:18
Bendikowski.
2:02:20
Yeah, Bendikowski.
2:02:22
Which is Bendibus.
2:02:24
He's in Warsaw, Poland.
2:02:27
Now you're talking.
2:02:27
Yeah.
2:02:28
Give us a report.
2:02:30
Some boots on the ground.
2:02:31
What do you think is going on?
2:02:32
The signal is reaching Poland.
2:02:34
The dipole is finally dynamite.
2:02:37
He came up with $333.33. And he
2:02:40
says, Adam and John, Kurwa love you.
2:02:43
Kurwa.
2:02:45
What does that mean?
2:02:46
It's kind of a Polish semi-swear word.
2:02:51
Somebody loves us.
2:02:52
Like crap.
2:02:53
Crap, I love you.
2:02:54
Something like that.
2:02:55
The comics are blogger.
2:02:56
I don't know.
2:02:56
He taught me the word.
2:02:58
Hey, and there's David Byrne of the Talking
2:02:59
Heads from Staten Island.
2:03:02
We don't know if it's David Byrne from
2:03:04
the Talking Heads, but it is David Byrne.
2:03:06
That would be Byrne's.
2:03:07
This is Byrne.
2:03:08
Oh, yeah, it's Byrne.
2:03:09
$234 associate executive producership for you, a real
2:03:12
credit.
2:03:12
He says, don't forget to tip your waitress
2:03:14
and try the veal.
2:03:15
All right.
2:03:15
Thank you, Staten Island.
2:03:18
And here he is, our La Jolla Salt
2:03:20
Corporation representative at $210.60. Are you stuck
2:03:26
in a linguistic rut?
2:03:27
This is the only note we got, actually.
2:03:30
The only note, except for Linda.
2:03:33
Are you stuck in a linguistic rut?
2:03:36
By the way, at the end of the
2:03:38
day, this and that, and the other thing
2:03:40
clinging to your lingo.
2:03:44
You know, Mark Levin, by the way, if
2:03:46
you listen to Mark Levin.
2:03:47
Oh, boy, here we go.
2:03:47
He can't go five seconds without saying, and
2:03:50
so on and so forth.
2:03:52
Oh, boy.
2:03:53
Or so forth, and so on and so
2:03:55
forth.
2:03:56
And there's a whole bunch of these things
2:03:58
and so on and so forth.
2:04:00
Okay.
2:04:02
It's just ridiculous.
2:04:04
It does.
2:04:04
I should make a, I could do a
2:04:06
super cut.
2:04:07
Knock him out with a large whole cloth,
2:04:10
period, full stop with the AC.
2:04:13
I don't know.
2:04:13
He's lining these things up with it, with
2:04:15
a sea salt scrub.
2:04:17
Oh, there it is.
2:04:17
This is the main part he wants us
2:04:19
to say.
2:04:20
Here it is.
2:04:21
Yeah, sea salt scrub from La Jolla.
2:04:24
LaJollaSalt.com.
2:04:25
Moisturize, exfoliate, relax, and enjoy your soothing scents
2:04:30
to reset your mental buffers.
2:04:33
Cleanse and moisturize your skin and speech patterns
2:04:37
today.
2:04:40
Then he says speech pattern cleaning, cleansing not
2:04:43
guaranteed.
2:04:44
Please do not eat the product.
2:04:48
Don't eat the product.
2:04:49
But he says, please support the show, people.
2:04:53
21060.
2:04:54
And there's Matthew Martell from MartellHardware.com.
2:05:00
He's in Broomall, Pennsylvania.
2:05:02
$210.60. He says, hey, JCD, to your
2:05:07
point, I digress.
2:05:09
Visit MartellHardware.com.
2:05:11
Use coupon code SNOPOCALYPSE for an additional 10
2:05:15
% off your order.
2:05:17
We're all going to die, Hot Pockets.
2:05:19
We're all going to die.
2:05:21
Hot Pockets.
2:05:22
Short and sweet.
2:05:24
Linda Lou Patkin, Castle Rock, Colorado, 200.
2:05:28
Jobs Karma for a competitive edge with a
2:05:30
resume that gets results.
2:05:32
Go to ImageMakersInc.com for all your executive
2:05:36
resume and job search needs.
2:05:40
That's ImageMakersInc with a K.
2:05:42
And work with Linda Lou, Duchess of Jobs
2:05:44
and writer of winning resumes.
2:05:47
Jobs, jobs, jobs, and jobs.
2:05:50
Let's vote for jobs.
2:05:52
You've got karma.
2:05:55
All right, Linda Lou, thank you.
2:05:57
And then we have a Bitcoin donation coming
2:05:59
in through Strike, which is available at knowagendadonations
2:06:02
.com, $200.
2:06:03
No idea who it's from, which is unfortunate,
2:06:05
but if you send us a note, we'll
2:06:07
gladly make good on that.
2:06:09
Thank you to these executive and associate executive
2:06:11
producers.
2:06:11
Very short list, and I don't think the
2:06:14
15 and above is much longer, but that's
2:06:22
just the way the show works.
2:06:23
That's why you don't hear pre-packaged corporate
2:06:26
messaging and ads and none of that stuff.
2:06:30
I mean, sure, people get plugs, plugs all
2:06:32
they want.
2:06:33
You can plug whatever you want at any
2:06:34
time.
2:06:35
We're happy with that.
2:06:36
But there's no collusion, there's no rehearsal, there's
2:06:39
no scripts, and no meetings.
2:06:43
Boy, do we hate meetings with advertisers.
2:06:45
That's just the worst.
2:06:47
And we're not interrupting in a big ad
2:06:53
load.
2:06:54
So go to knowagendadonations.com and support us,
2:06:58
any amount, any time.
2:06:59
Whatever you feel you got out of the
2:07:00
show, send it back to us.
2:07:02
You can also set up a recurring donation,
2:07:04
which is any amount, any frequency.
2:07:06
Again, all up to you.
2:07:07
We do love the numerology, and if you
2:07:09
have a current recurring donation, please check it.
2:07:12
Make sure that your credit card or whatever
2:07:14
payment system you're using is still valid, because
2:07:16
those do tend to expire from time to
2:07:19
time.
2:07:19
Thank you again to our executive and associate
2:07:21
executive producers for episode 1837.
2:07:24
Our formula is this.
2:07:26
We go out, we hit people in the
2:07:28
mouth.
2:07:44
I have two Ukraine clips that we can
2:07:47
get out of the way and keep up
2:07:49
with that a bit.
2:07:50
Okay.
2:07:52
One is an analysis from Colonel McGregor, but
2:07:56
the first one I want to play is
2:07:57
the Ukraine update.
2:07:58
This is from yesterday in NPR.
2:08:00
U.S. officials say progress was made in
2:08:02
trilateral talks with Russia and Ukraine to end
2:08:04
Moscow's nearly four-year-long war.
2:08:06
NPR's Tamara Keith reports.
2:08:08
The U.S. team spoke to reporters after
2:08:10
two days of meetings in Abu Dhabi with
2:08:12
high-level delegations from Ukraine and Russia.
2:08:17
They said just getting them to the table
2:08:18
to talk is a big step and, quote,
2:08:21
the conversations were very respectful.
2:08:23
Even if there were no significant breakthroughs, they
2:08:26
said having everyone in the same room was
2:08:28
progress after months of at times frustrating shuttle
2:08:32
diplomacy.
2:08:33
Major sticking points remain, including how territory will
2:08:37
be divided up and the terms of de
2:08:39
-escalation if there is a deal.
2:08:42
The officials say the next meeting has already
2:08:44
been set for a week from now, in
2:08:47
Abu Dhabi.
2:08:47
Meanwhile, Russia launched hundreds of drones and missiles
2:08:50
at Ukraine's two largest cities as the talks
2:08:52
went on.
2:08:53
This is NPR News.
2:08:55
Did you hear Zelensky at Davos?
2:09:00
Oh, I don't know if I had.
2:09:04
Did you have it?
2:09:05
Yeah, I have a Minute 10 report.
2:09:09
It's kind of funny because, well, you'll hear
2:09:11
it in this clip.
2:09:12
Ukraine's President Volodymyr Zelensky slammed Europe in his
2:09:15
address at a forum in Davos for their
2:09:18
inaction, describing it as a lost continent.
2:09:22
In his scathing critique, Zelensky says Europe is
2:09:25
stuck in an endless cycle of failing to
2:09:27
defend itself or decisively supporting Ukraine, likening the
2:09:31
situation to the U.S. film Groundhog Day.
2:09:33
What about the ceasefire itself?
2:09:36
Who can help make it happen?
2:09:38
Europe loves to discuss the future but avoids
2:09:41
taking action today, action that defines the future.
2:09:49
Why can't President Trump stop tankers from the
2:09:51
Shadow Fleet and seize oil, but Europe doesn't?
2:09:55
Russian oil is being transported right along European
2:10:00
shores.
2:10:00
That oil funds the war against Ukraine.
2:10:04
That oil helps destabilize Europe.
2:10:07
So Russian oil must be stopped and confiscated
2:10:10
and sold for Europe's benefit.
2:10:13
Why not?
2:10:17
Ask Donald Trump to discuss the latest on
2:10:19
the ground and ongoing peace efforts.
2:10:21
I think Trump literally gave him a piece
2:10:23
of paper, say this.
2:10:25
He had a meeting with the Trump and
2:10:28
then he said, hey, these Europeans, they're still
2:10:32
taking Russian oil from ghost ships.
2:10:34
They're funding the war against us.
2:10:37
Hmm.
2:10:38
Yeah, you know, what you said was kind
2:10:42
of offhanded.
2:10:43
But I think you actually might be correct.
2:10:46
I wasn't it wasn't that offhanded.
2:10:47
I mean, when I heard the report, I'm
2:10:49
like, well, that's obvious why he said that.
2:10:53
Trump said, don't don't screw it up, man.
2:10:55
Say this.
2:10:56
Those guys suck in Europe.
2:10:57
They suck.
2:10:59
Yeah, they suck.
2:11:01
Well, he's not wrong.
2:11:02
No.
2:11:04
All right.
2:11:04
Well, so we go to Colonel McGregor.
2:11:06
He's got this show, you know, and doesn't
2:11:09
answer your calls.
2:11:11
No, no.
2:11:12
But he'll do anybody else's podcast.
2:11:13
But he won't do an interview with us
2:11:16
because, you know, we're we're just the best.
2:11:21
You might ask a real question.
2:11:22
But but he does have an interesting little
2:11:25
screed type of analysis here that is worth
2:11:29
listening to.
2:11:30
President Trump doesn't seem to want to kill
2:11:32
the bad ideas.
2:11:34
You know, he's he's got his own set
2:11:37
of bad ideas.
2:11:38
He could have gone into NATO and said,
2:11:40
listen, this is over.
2:11:42
The United States will not support war with
2:11:45
Russia.
2:11:46
We want to normalize our relations with Russia.
2:11:48
We want to do business with Russia.
2:11:51
Russia is not interested in conquering Europe.
2:11:54
So sit down, shut up and get on
2:11:57
board with us.
2:11:58
And if you're not going to get on
2:11:59
board with us, that's fine.
2:12:01
Then get on another ship because we're not
2:12:04
sailing the war.
2:12:05
He could have done that.
2:12:07
Yeah.
2:12:07
He done it.
2:12:08
No, he hasn't.
2:12:10
And then he looks look at a place
2:12:12
like Kiev under this man, Zelensky.
2:12:15
So Lensky is a defeated regime.
2:12:18
Ukraine has been defeated, if not destroyed.
2:12:20
Shut up.
2:12:21
We're going to sort this out and you're
2:12:23
going to live with what we come up
2:12:25
with.
2:12:26
People had common sense 100, 200 years ago
2:12:28
when they settled these wars.
2:12:30
They took that position.
2:12:32
But again, when did they do that?
2:12:34
They did it after the Napoleonic Wars because
2:12:38
they'd seen millions of people die.
2:12:40
They'd seen cities and towns destroyed.
2:12:43
They didn't want that anymore.
2:12:44
It took 100 years to forget it and
2:12:46
go back to Oregon in 1914.
2:12:50
No, that's from a historical standpoint.
2:12:52
Pretty good.
2:12:55
Yeah.
2:12:57
Yeah.
2:12:57
Want the Europeans?
2:13:00
They're nuts.
2:13:01
Well, along those lines, a little long, a
2:13:04
little over two minutes.
2:13:06
I know.
2:13:07
Well, if you get tired of it, then
2:13:10
we can stop.
2:13:10
Why do you ever get to this two
2:13:12
minute rule?
2:13:12
I don't remember us ever establishing it, but
2:13:14
we have.
2:13:15
I like 1.30 myself.
2:13:17
In fact, I prefer one.
2:13:20
But I use the two minute rule and
2:13:23
I always feel crappy when I look and
2:13:26
it comes out at 2.05. Yeah.
2:13:28
Well, that's exactly why I'm prefacing it by
2:13:30
saying I feel that you're apologizing in advance.
2:13:33
Yeah.
2:13:33
I feel it's too long.
2:13:35
But generally speaking, if it's too long, it's
2:13:37
usually good.
2:13:39
Well, you don't like the guy.
2:13:40
So it might be.
2:13:42
But on the periphery of Davos, there's all
2:13:45
these other little institutions and interviews.
2:13:47
You know, it's kind of like the Academy
2:13:49
Awards in a way.
2:13:51
You go to this tent, you do an
2:13:52
interview there, you go to that tent and
2:13:54
or you've got to talk to E!
2:13:55
Entertainment.
2:13:56
Does E!
2:13:56
Entertainment, they go belly up?
2:13:58
Are they gone?
2:14:00
Is that still around?
2:14:00
Not that I know of.
2:14:01
Is it still around?
2:14:02
E!
2:14:03
News, I think, is folded.
2:14:04
But the network is still around.
2:14:06
I think they still have a mic on
2:14:08
the red carpet.
2:14:10
I have to look into it now.
2:14:12
So I do.
2:14:13
I think we both do this.
2:14:14
I'm always cutting out pauses, particularly the like
2:14:17
France 24.
2:14:19
They leave long pauses whenever someone's being translated.
2:14:22
They always start with and the voice comes
2:14:26
over what I was trying to say.
2:14:28
I cut out all the waka taka waka.
2:14:31
Cut that out.
2:14:32
Yeah, it's annoying.
2:14:32
You know, it doesn't do anything.
2:14:35
I leave a snippet.
2:14:36
Yeah.
2:14:37
About that much.
2:14:39
So this is Yanis Varoufakis.
2:14:43
Roll eyes now.
2:14:45
He.
2:14:46
Now, what's interesting about him and this is
2:14:49
in his wheelhouse and this is not one
2:14:51
of those A.I. videos that I get
2:14:52
tricked into a couple of weeks ago.
2:14:54
This is him on stage being interviewed.
2:14:57
He was the finance minister later, I think,
2:15:00
prime minister, but the finance minister of Greece
2:15:02
when Europe when we had the euro crisis
2:15:05
and they blamed it all on Greece and
2:15:08
they knew it was so bad that Dutch
2:15:10
people were refusing to go to Greek restaurants.
2:15:14
That's how crazy Europe is.
2:15:16
But the Greeks screwed us, man.
2:15:19
So we're not going to support that.
2:15:20
Right.
2:15:21
Yeah.
2:15:21
Don't you remember that?
2:15:23
No, I don't remember.
2:15:24
I'm not going to Greek restaurant.
2:15:25
Oh, yeah.
2:15:26
Oh, yeah.
2:15:27
I could probably look it up on Bing
2:15:28
it and find it.
2:15:30
Yeah.
2:15:30
They wouldn't go to Greek restaurants and everyone
2:15:33
hated like, why are we in the north
2:15:36
suffering for you in the south?
2:15:38
It was the pigs, Portugal, Italy, Greece and
2:15:42
Spain.
2:15:44
Remember it now?
2:15:45
The pigs.
2:15:45
I remember the pigs.
2:15:46
Yeah, the pigs.
2:15:48
And so the IMF swooped in with I
2:15:52
want to say Goldman Sachs, probably a couple
2:15:55
of other the big banks.
2:15:57
And they said, all right, ruin the place.
2:15:58
They ruined it and gave them austerity.
2:16:02
So Varoufakis has a bone to pick.
2:16:05
And he is explaining why the European Union
2:16:08
is cooked toast and will not work and
2:16:11
is bound to fail.
2:16:13
Europe made a grievous error in 1992 by
2:16:18
creating a federal money.
2:16:20
The idea was to create a monetary federation
2:16:23
and then on top of that, build a
2:16:25
political union.
2:16:26
But there was a Cambridge economist, Nicholas Cowder,
2:16:29
who in 1970, the new statesman warned Europeans
2:16:33
against doing this.
2:16:34
He said, if you make the mistake of
2:16:37
creating a monetary union as a first stepping
2:16:40
stone towards a political union, you will fail
2:16:42
because the monetary union will create an almighty
2:16:45
economic crisis that will poison the well of
2:16:50
any further consolidation, and then it will be
2:16:54
impossible to consolidate.
2:16:56
We had a chance with the euro crisis
2:16:58
to create a political union that goes along
2:17:01
with the monetary union.
2:17:03
We failed.
2:17:04
We failed dismally.
2:17:07
Instead we created new forms of rolling over
2:17:11
the debts and consolidating that which cannot be
2:17:15
consolidated.
2:17:16
Then we had the pandemic, which was another
2:17:17
great opportunity.
2:17:18
The result of these failures and this delay
2:17:21
is a complete political fragmentation.
2:17:24
Ten years ago, fifteen years ago, there was
2:17:26
Angela Merkel.
2:17:27
She was my greater political opponent.
2:17:30
I had many clashes with her.
2:17:32
But at least she had the political capital
2:17:33
to bring Europe together.
2:17:36
By delaying all this time, spending fifteen years
2:17:40
not investing at all, zero net investment in
2:17:43
the European Union, as a result of the
2:17:46
mishandling of the inevitable euro crisis, Germany is
2:17:50
deindustrializing.
2:17:51
So now Germany is renationalizing its policies.
2:17:54
The single market is finished, so the Brexit
2:17:57
discussion is gone, because there is not even
2:17:59
a single market.
2:18:00
Only on paper there is a single market
2:18:01
now.
2:18:02
So this fragmentation means that you can see
2:18:05
Trump appears.
2:18:06
Trump loathes the European Union.
2:18:08
He hates the European Union much more than
2:18:11
he hates China, for reasons of his own.
2:18:14
And what is Europe doing?
2:18:15
They are running around like headless chickens.
2:18:17
They are putting forward a preposterous military Keynesianism,
2:18:21
which is neither necessary nor feasible.
2:18:24
Europe does not have the capacity to create
2:18:25
a military-industrial complex.
2:18:27
It will never have the capacity.
2:18:28
If you want, we can discuss why.
2:18:30
So this is why I'm saying, with pain
2:18:32
in my heart, that Europe is simply slipping
2:18:36
into irrelevance.
2:18:38
Yeah, I think he's right.
2:18:41
Are you going to let that go longer?
2:18:43
You liked it, huh?
2:18:45
Huh, interesting.
2:18:46
Yeah.
2:18:46
I would like to hear his conversation about
2:18:48
why they can't create a military-industrial complex.
2:18:52
Well, they don't have power anymore in Germany
2:18:56
to even make steel.
2:18:58
You mean literal electricity when you say power?
2:19:01
Yes, actual electricity is off the table.
2:19:05
I still see those videos of them imploding
2:19:07
their nuclear plants.
2:19:09
Dopes.
2:19:11
And they're doubling down.
2:19:13
You know, what did I have here?
2:19:14
I got a note.
2:19:16
Here, Amsterdam.
2:19:19
Amsterdam.
2:19:21
Now, they do have a nut job mayor,
2:19:23
but Amsterdam is banning advertising of fossil fuels
2:19:28
and meat.
2:19:31
So you may not long...
2:19:35
You may no longer advertise air travel, cruises,
2:19:41
combustion vehicles, McDonald's, because they can't show a
2:19:47
hamburger.
2:19:48
Yeah.
2:19:51
How do people elect people like this?
2:19:54
Well, what happens is it's just like the
2:19:58
bigger parliament.
2:19:59
They have to put together a coalition.
2:20:01
So they have...
2:20:02
The mayor is from GroenLinks, which is green
2:20:05
left.
2:20:06
I've never heard a better description for a
2:20:08
party ever.
2:20:09
The green lefties and the party for animals.
2:20:15
So they have to get something.
2:20:19
So basically the environmentalist plus PETA.
2:20:23
Yeah.
2:20:24
Pretty much.
2:20:25
Yeah.
2:20:26
Environmentalist plus PETA.
2:20:29
Yeah.
2:20:29
So they're banning that.
2:20:31
Yeah.
2:20:31
It's a mess.
2:20:33
That brings me to a clip that I
2:20:35
wonder...
2:20:35
I don't know if this is legit.
2:20:37
I can't document it, but I'm going to
2:20:38
have to start.
2:20:39
As you recall, five years ago, we used
2:20:42
to do Prime Minister Question Time as a
2:20:44
regular issue on the show.
2:20:45
Yes.
2:20:45
And this comes from that.
2:20:47
Supposedly, I don't know if this is AI
2:20:48
or not, but I believe it to be
2:20:50
real.
2:20:51
And this is a green member of the
2:20:54
UK parliament asking a question, which is a
2:20:57
very simple question that could be easily answered.
2:21:00
It's probably reasonable.
2:21:02
But Starmer goes off the deep end and
2:21:05
condemns the Green Party instead of answering the
2:21:08
question with any real foundation.
2:21:11
But try playing it.
2:21:13
For decades, our rivers, lakes, and seas have
2:21:16
paid the price of a failing system.
2:21:18
So the water white paper is a welcome
2:21:20
first step in beginning to set things right.
2:21:22
What is she talking about here?
2:21:23
It's hard to get into.
2:21:24
She's talking about water pollution based on farming
2:21:27
practices, which contribute to rivers and streams being
2:21:31
polluted by chemicals.
2:21:33
That's helpful.
2:21:34
For decades, our rivers, lakes, and seas have
2:21:36
paid the price of a failing system.
2:21:39
So the water white paper is a welcome
2:21:40
first step in beginning to set things right.
2:21:43
But there's a glaring gap.
2:21:45
Agricultural pollution contributes 40% of the pollution
2:21:49
in our waterways, but merits only one single
2:21:52
page in this white paper.
2:21:54
Can the PM tell me why on earth
2:21:56
this is the case?
2:21:57
And when he will start working with farmers
2:22:00
to support river-friendly farming practices and treat
2:22:03
agricultural pollution as seriously as sewage pollution?
2:22:08
We inherited a real mess on water and
2:22:10
we're taking the most effective and far-reaching
2:22:12
measures to deal with it.
2:22:14
But I have to say, as someone who
2:22:16
stood to lead her party, I wonder what
2:22:17
she makes of how her leader is responding
2:22:20
to this global uncertainty.
2:22:22
Because what he's saying is this is the
2:22:24
time, this is the moment to withdraw from
2:22:26
NATO.
2:22:27
This is the time to kick the US
2:22:29
out of our military bases.
2:22:31
This is the time to negotiate, hear this,
2:22:33
with Putin to give up our nuclear deterrent.
2:22:36
I'm sure Putin will be very quick on
2:22:37
the line for that one.
2:22:39
It's as reckless and irresponsible as their plan
2:22:42
to legalize heroin and crack cocaine.
2:22:45
That's the Green Party now.
2:22:46
High on drugs, soft on Putin.
2:22:50
Wow.
2:22:51
What a moron.
2:22:53
There's no reason for him to do that.
2:22:56
No.
2:22:57
I wonder what the context was if they
2:22:59
were talking about Putin.
2:23:01
I'm going to have to start watching PMQT
2:23:03
again.
2:23:04
Well, I'm glad you brought up British Parliament
2:23:06
because I also have a clip from British
2:23:08
Parliament.
2:23:09
This is Lord Young and he is part
2:23:12
of the Free Speech Union, so whenever he
2:23:16
talks, no one's there, which is kind of
2:23:18
funny when you think about it.
2:23:20
That's typical.
2:23:22
And there's a law that he and his
2:23:26
Free Speech Union take exception to.
2:23:29
My Lords, I declare my interest as the
2:23:31
Director of the Free Speech Union and I
2:23:33
congratulate the four new members on their excellent
2:23:36
speeches.
2:23:37
I want to draw your Lordships' House attention
2:23:41
to just one section of the Employment Rights
2:23:45
Act and its impact on the hospitality sector,
2:23:49
namely Section 21, which extends the liability of
2:23:53
employers for the harassment of their employees to
2:23:57
third parties.
2:23:58
From October of this year, employers will have
2:24:01
a duty to protect their workers from third
2:24:05
parties.
2:24:05
I should make clear that we're not talking
2:24:07
about third-party sexual harassment, which they were
2:24:11
already liable for, but third-party non-sexual
2:24:15
harassment.
2:24:15
And what does that mean for the hospitality
2:24:17
sector?
2:24:18
It means employers will have to take all
2:24:21
reasonable steps, those are the words in the
2:24:23
Act, to protect their employees from harassment by
2:24:29
customers.
2:24:30
That might not sound too onerous until you
2:24:33
factor in that harassment includes indirect harassment, which
2:24:37
has been defined by the Employment Tribunal as
2:24:40
including overheard conversations, remarks, comments, jokes, that an
2:24:44
employee may find offensive or upsetting in virtue
2:24:48
of their protected characteristics.
2:24:50
And it's for that reason that the Free
2:24:52
Speech Union has been referring to Section 21
2:24:55
as the banter ban.
2:24:57
The banter ban.
2:24:59
So if your customers say...
2:25:01
Oh my God, did I hear what I
2:25:03
heard?
2:25:04
Yes, you did.
2:25:05
You heard what you heard.
2:25:08
So if someone...
2:25:08
In other words, they want to ban people
2:25:10
from mumbling.
2:25:12
Yes.
2:25:13
Or if you make a little joke and
2:25:15
the staff is offended by your joke and
2:25:19
they call that the banter...
2:25:20
I think they should call this the Noodle
2:25:23
Boy Offense Ban.
2:25:25
Noodle Boy, yeah.
2:25:26
Also known as Noobob.
2:25:29
I mean, this is how you destroy a
2:25:32
country.
2:25:33
But wait!
2:25:34
We have our own little problems here at
2:25:36
home.
2:25:37
My friend sent me this this morning from
2:25:40
the Harvard, T.H. Chan...
2:25:43
What was that?
2:25:45
It was a squeak.
2:25:46
You got a mouse in your pocket?
2:25:50
Yeah.
2:25:51
This is from the Harvard, T.H. Chan
2:25:55
School of Public Health that Chan is...
2:25:59
I think it's Zuckerberg's wife, isn't it?
2:26:01
Didn't they put the money in?
2:26:02
Oh, that could be, yeah.
2:26:03
I think so.
2:26:05
Thanks to research led by Harvard, T.H.
2:26:08
Chan School of Public Health, the American Psychiatric
2:26:14
Association, APA, has added a new term, a
2:26:19
new mental disorder into their Diagnostic and Statistical
2:26:25
Manual of Mental Disorders, also known as DSM.
2:26:28
This is the handbook for classifying and diagnosing
2:26:31
mental health conditions used by mental health care
2:26:34
providers around the country.
2:26:36
Are you ready for it?
2:26:39
No.
2:26:40
The new...
2:26:42
I'll wait until you're ready.
2:26:45
No, I'm ready.
2:26:45
So this is the new condition, mental health
2:26:50
condition.
2:26:52
Moral injury.
2:26:55
And I will give you the description of
2:26:57
moral injury.
2:26:59
It is psychological harm incurred from committing, witnessing,
2:27:04
or being subject to actions that violate one's
2:27:07
moral code.
2:27:10
That is now a mental condition.
2:27:12
Moral injury.
2:27:16
Well, that explains a lot.
2:27:19
And you can now get meds for it,
2:27:22
I guess.
2:27:23
Well, of course.
2:27:24
Moral injury.
2:27:27
The DSM should be outlawed.
2:27:30
That thing is just a...
2:27:32
It's just a license to give people SSRIs.
2:27:36
Drugs.
2:27:36
Drugs, yeah.
2:27:37
SSRIs for everything.
2:27:40
Nuts.
2:27:41
Hey, you're going to love this.
2:27:44
Your theory about the emergency that prompted the
2:27:49
return of our astronauts from the International Space
2:27:53
Station, would you like to reiterate your theory?
2:27:58
Yes.
2:27:58
There was a pregnancy caused in space and
2:28:02
they couldn't take a chance on it.
2:28:03
They couldn't give birth in space because there's
2:28:06
no...
2:28:06
The right doctors aren't up there or anything.
2:28:09
They had to shut...
2:28:11
They're not supposed to have sex, as far
2:28:13
as I know, and get pregnant up there,
2:28:14
but she did.
2:28:15
This woman.
2:28:15
That's why she was part of the team.
2:28:17
They hustled them all back to the United
2:28:19
States quietly to take care of the problem.
2:28:23
So...
2:28:24
Let her have a baby.
2:28:25
So we have not been told who had
2:28:27
the medical emergency because, of course, we wouldn't
2:28:30
want to violate HIPAA laws.
2:28:32
Oh, no.
2:28:32
And by the way, there's three males and
2:28:35
one female that came back.
2:28:37
Mm-hmm.
2:28:38
So here are two NASA astronauts who are
2:28:41
talking about this incident and they really are
2:28:46
so happy that the equipment on board was
2:28:50
there to diagnose the issue and get these
2:28:53
astronauts home quickly.
2:28:55
I think you'll be interested in what they
2:28:57
say.
2:28:58
The ultrasound technology has gotten better on planet
2:29:00
Earth and we've taken that into space and
2:29:02
having a portable ultrasound machine helped us in
2:29:05
this situation.
2:29:06
We were able to take a look at
2:29:08
things that we had and didn't have.
2:29:10
So when we had this emergency, the ultrasound
2:29:11
machine came in super handy.
2:29:13
So I'd recommend a portable ultrasound machine in
2:29:16
the future for sure for all space flights.
2:29:18
It really helped.
2:29:19
NASA made all the right decisions.
2:29:22
In my opinion, this is a really excellent
2:29:24
example of risk analysis and decision-making and
2:29:27
I'm very proud of the decision they made.
2:29:29
But sometimes things happen and surprises happen and
2:29:32
the team was ready and that was like
2:29:34
Xena said.
2:29:36
Preparation was super important.
2:29:38
An ultrasound machine.
2:29:41
Yeah.
2:29:42
You know, being a future grandfather, I love
2:29:46
the ultrasound pictures and the videos and the
2:29:49
heartbeat and everything.
2:29:51
And that's ultrasonic technology.
2:29:54
And it was the right gear to have
2:29:56
on board.
2:29:57
John, I think you have nailed it, my
2:29:59
friend.
2:30:00
Oh, I'm absolutely convinced I nailed it.
2:30:02
But there could be someone with a tumor.
2:30:05
Ultrasound's good for that too.
2:30:09
They can weasel out.
2:30:10
But the way the woman in that particular
2:30:12
clip you played, the way that woman, the
2:30:14
female, was so gleeful.
2:30:17
They did the right thing.
2:30:18
They got her home to have her baby
2:30:20
is all she didn't say.
2:30:22
But she might as well have said it.
2:30:24
It seems to me just to confer the
2:30:28
or to confirm, not confer, but confirm the
2:30:32
speculation.
2:30:34
It's so good.
2:30:35
I just love it.
2:30:38
But why don't they just tell us?
2:30:41
That's because then we have this whole other,
2:30:44
you know, then it's a workspace.
2:30:45
Then you have the how do you fucking
2:30:46
space problem.
2:30:49
Okay.
2:30:50
Not a problem, but the questions.
2:30:52
Because we all want to know.
2:30:53
Then it becomes a topic of discussion that
2:30:55
nobody wants to have.
2:30:57
We all want to know.
2:30:58
Were they floating around at the time?
2:31:02
how do you do it?
2:31:04
You know, were they spinning maybe in the
2:31:07
void?
2:31:09
I mean, just too many.
2:31:11
It brings up too many.
2:31:13
They don't want it at a press conference.
2:31:15
They don't want Carolyn Levitt trying to explain
2:31:17
it.
2:31:19
Well, the way I understand it.
2:31:21
All right.
2:31:22
I've got one more for you.
2:31:24
This is one of my personal gripes.
2:31:27
And of course, people are sending me clips
2:31:28
now about it.
2:31:30
This is Olof Aeronautics Model A.
2:31:32
Part electric road car, part flying car.
2:31:35
It's currently in testing and closely watched by
2:31:38
the FAA under its airworthiness certificate.
2:31:41
Olof can land on any surface anywhere and
2:31:43
take off from any surface anywhere.
2:31:46
There does not need to be built any
2:31:47
kind of heliports, vertiparts or anything like that.
2:31:50
Olof co-founder Jim Duchovny says he has
2:31:53
3,500 pre-orders at 300,000 a
2:31:56
pop and production is underway.
2:31:59
But some experts say flying cars are not
2:32:01
ready for public roadways and skies due to
2:32:04
regulations and new product headwinds.
2:32:07
Currently, the FAA would require a pilot's license,
2:32:10
which is expensive and time consuming.
2:32:13
Flying cars need to be light but also
2:32:15
meet road worthiness testing standards.
2:32:18
Some believe there are better technologies, namely air
2:32:23
taxis, which are like smaller helicopters and they
2:32:26
cost roughly the same as the Olof Model
2:32:29
A.
2:32:29
Duchovny acknowledges air taxis are a competitor but
2:32:33
says his main rivals are leading EV companies.
2:32:37
We're trying to make exactly the same or
2:32:41
similar car as Tesla, Lucid and Rivian but
2:32:45
with the capability of vertically taking off and
2:32:47
flying.
2:32:47
NASA and the FAA are working on the
2:32:50
framework of advanced air mobility.
2:32:52
The concepts being evaluated include the creation of
2:32:55
corridors for air taxis, drones and commercial flights,
2:33:00
noise, travel times, infrastructure, future airspace and of
2:33:04
course safety.
2:33:05
Duchovny though is still bullish on his startup
2:33:08
company.
2:33:09
I do think we'll actually have a majority
2:33:13
of the cars with some kind of flying
2:33:17
capabilities.
2:33:19
I heard the number 33 in there.
2:33:22
Oh yeah.
2:33:23
So a couple things about this, because I've
2:33:25
been following this one very closely.
2:33:27
This is ALEF, A-L-E-F dot
2:33:30
A-R-O, A-E-R-O.
2:33:32
I would like you to take a look
2:33:33
at this because you'll recognize the car.
2:33:35
This is basically a go-kart with bicycle
2:33:38
wheels that they've put a...
2:33:40
Give me the spelling again.
2:33:43
A-L-E-F dot A-R-O,
2:33:45
A-E-R-O.
2:33:47
When you see it you'll go, oh yeah,
2:33:49
this thing.
2:33:49
And they have this constant video of this.
2:33:53
It's almost like a really rickety thing with
2:33:57
these bicycle tires and it lifts off and
2:34:00
it jumps over a Tesla cyber truck and
2:34:04
then lands.
2:34:05
This is the technology that they have.
2:34:08
So there's no person in it.
2:34:11
It's a fiberglass body around a very small
2:34:15
frame with these little teeny weeny tires.
2:34:18
I don't even know if you can get
2:34:19
over 40 miles an hour with it on
2:34:21
the road.
2:34:21
In fact, they never show it driving.
2:34:23
They only show it doing this little hop.
2:34:27
A couple things.
2:34:29
This company keeps touting that they have an
2:34:32
airworthiness certificate.
2:34:34
They are allowed to test at an airfield.
2:34:38
It's not like, oh, it's airworthy, you can
2:34:41
go and fly it wherever you want.
2:34:43
No.
2:34:43
It's a lie.
2:34:45
It looks like a turd.
2:34:48
Yes, it is a turd.
2:34:49
The other thing is, they always keep saying,
2:34:51
it got 3,500 people already pre-ordered.
2:34:55
If you look at the website, you can
2:34:56
order...
2:34:57
33 was the number.
2:34:59
You missed it.
2:35:01
3,300.
2:35:02
You can buy a place in line for
2:35:06
$150.
2:35:08
It's not like people put down $300,000.
2:35:12
This is a scam operation with a flying
2:35:17
turd that you can't even sit in.
2:35:20
They keep bringing this guy up.
2:35:24
I don't know why they keep calling it
2:35:25
the first flying car.
2:35:26
There's been so many of these things.
2:35:28
It's crazy.
2:35:30
Now, I am kind of bullish on this
2:35:34
new battery technology, which we talked about, the
2:35:37
Donut Lab.
2:35:38
I don't know if you had a chance
2:35:38
to look at it.
2:35:40
Yeah, I looked into it.
2:35:42
I did get one of our engineers who
2:35:45
has looked into it.
2:35:46
He says, I'll just read his note.
2:35:49
He says, I used to work in a
2:35:50
PC board factory in Santa Clara back in
2:35:52
82, 83.
2:35:53
I'm an Army radio maintenance technician.
2:35:56
Also worked for Sony building TV studios.
2:35:59
He says, the way this would work, and
2:36:01
the way he understands it, you use the
2:36:03
same techniques as making IC chips, placing billions
2:36:07
of tiny capacitors in a small space.
2:36:10
Due to their size and chemical properties, they
2:36:12
would act like a mix between a battery
2:36:14
and a super capacitor, which you mentioned.
2:36:17
They would be quite easy to produce and
2:36:19
would pack a lot of energy into a
2:36:21
small package.
2:36:22
What caught my eye was their test rig.
2:36:24
In my mind, the whole battery would melt,
2:36:27
including the cables and connectors, if that much
2:36:30
amperage was fed in.
2:36:31
There's always resistance that turns into heat.
2:36:34
The BYD engineer, it's all from his website,
2:36:37
said you cannot have all those properties in
2:36:40
the battery at the same time.
2:36:41
You always have to drop out on one
2:36:43
of them.
2:36:43
It's physics.
2:36:44
For me, it's the heat, but with a
2:36:46
clever battery management system, it might work.
2:36:50
Think of the PCM style LED drivers.
2:36:53
I wonder what JCD has to say about
2:36:56
this.
2:36:57
There's no capacitance of any sort, because they
2:37:01
make a point of saying it's a battery,
2:37:03
not a hybrid capacitor battery or anything like
2:37:06
that, so that's bull crap.
2:37:09
It turns out that there's a company out
2:37:11
of Finland called Nordic Nano.
2:37:15
They developed a technology, which they sold to
2:37:18
these guys, which is a battery technology that
2:37:20
uses a lot of very high end graphene
2:37:25
and nanotubes and all sorts of titanium oxide
2:37:31
to coat the nanotubes, and it does apparently
2:37:35
can produce all these numbers and may or
2:37:39
may not be manufacturable.
2:37:41
I think the manufacturability is the issue here,
2:37:44
but there's some possibility that all this is
2:37:48
true.
2:37:50
I think, as I read an interview with
2:37:52
the Fin guy as well, and they basically
2:37:55
said, the one thing the Finns don't do
2:37:57
is lie.
2:37:59
They don't.
2:38:00
They drink a lot.
2:38:05
Yes, we
2:38:16
do have a few more people to thank
2:38:17
for the show.
2:38:20
1837, I believe is the number.
2:38:23
Adam will read the $50 and up right
2:38:25
to the max.
2:38:26
Not that many of them, and we'll go
2:38:28
from there.
2:38:29
Terry Wentz.
2:38:30
Thank you, Terry.
2:38:31
$130 from Langley, Washington.
2:38:33
William Durkin, Greenville, South Carolina, with 123.45.
2:38:37
We love it when you do stuff like
2:38:39
that.
2:38:39
Dakota Walker.
2:38:42
$119.93. And that is a belated birthday
2:38:45
donation, so we'll have that on the list.
2:38:48
Hey, coming in from Japan, Mayumi Akiyama with
2:38:53
kanji characters, so I can't tell where.
2:38:56
I don't know where that is.
2:38:57
I mean, come on.
2:38:59
Hold on, maybe...
2:39:01
Come on, Jay.
2:39:02
I mean, you could have at least...
2:39:04
Jay should be able to translate that.
2:39:07
I mean, look, here's what I'm going to
2:39:08
do.
2:39:09
I'm going to literally copy and paste that.
2:39:12
Hold on.
2:39:13
I'm going to copy and paste that into
2:39:15
my robot.
2:39:16
We just call it Robots here, the No
2:39:18
Agenda show.
2:39:20
So copy, paste that.
2:39:22
Okay.
2:39:23
Copy and paste the other one.
2:39:26
Because the kanji comes through fine, which is...
2:39:29
Okay, so robot translate.
2:39:33
While it's doing that, I will continue reading.
2:39:35
Wait, wait, it took that long?
2:39:37
Is it already taking time?
2:39:38
Oh, yeah.
2:39:39
It's burning cycles.
2:39:40
I'm getting tense.
2:39:41
Oh, here it is.
2:39:45
Tatori-shi city.
2:39:48
Tatori city.
2:39:50
In Tatori prefecture.
2:39:53
Which is in the Shugoku region of Honshu.
2:39:57
It's the coast.
2:39:58
Oh, Honshu province.
2:39:59
It's the coast of the sea of Japan,
2:40:01
which is, as we know, a protectorate of
2:40:04
Sir Mark and Dame Astrid.
2:40:05
Thank you, Mayumi.
2:40:08
McDermott-Connor.
2:40:11
Estero, Florida.
2:40:13
$100.
2:40:14
Oh, by the way, Mayumi is also $100.
2:40:16
Great show, says McDermott.
2:40:18
Keep up the good work.
2:40:19
Kenneth Sear, Sire, Shady Shores, Texas.
2:40:23
$99.
2:40:24
Adrian Grabe, Austin, Texas, which we can't drive
2:40:27
to right now because we've been told it's
2:40:29
dangerous on 290.
2:40:30
$88, $88.
2:40:31
And there's Sir Kevin McLaughlin, the Archiduna of
2:40:34
Luke.
2:40:34
Of Luna.
2:40:37
Of Luna.
2:40:38
He is the lover of America and boobs
2:40:40
in Concord, North Carolina.
2:40:41
And he says, donation for boobs.
2:40:43
God bless America and boobs.
2:40:45
Sir Deep Thought, Lexington, Minnesota.
2:40:47
Also a boob donation.
2:40:49
$0.8008. Boobs for my birthday.
2:40:52
Started my 46th trip around the sun on
2:40:54
show day, January 25th.
2:40:55
Yes, Jason Shepard, Trinidad, Colorado.
2:40:58
$76.80. Douglas Mook in Cochranton, Pennsylvania.
2:41:03
$75.
2:41:03
Sir Wayne Larcombe in Sunny Banks Hills.
2:41:07
That's in Queensland, Australia.
2:41:09
Admitted to the birthday list for my birthday
2:41:11
on January 26th.
2:41:12
I've been notating and listening since 2011.
2:41:14
Keep up the great work.
2:41:15
Chad Hewitt, Folsom, California.
2:41:17
Where the jail is.
2:41:19
$66.40. Matthew Elward, Weatherford, Texas.
2:41:22
Small boobs, $6.006. Surprise, night of astonishment.
2:41:26
Yukon, Oklahoma, $54.44. Diana Grilly Camden, Junction
2:41:31
City, Ohio.
2:41:33
$51.50. Nelson NAF.
2:41:38
I wonder if it's NAF.
2:41:40
Odivelas, Portugal.
2:41:42
Just turned 51 on Saturday, January 24th.
2:41:44
Nelson from Odivelas, Portugal.
2:41:47
Alex Delgado, Aptos, California.
2:41:49
These are the 50s.
2:41:50
He sends us $50.
2:41:51
George Wuchet from La Vernia, Texas.
2:41:54
$50.
2:41:55
Danielle Grossenbacher in Mesa, Arizona.
2:41:59
$50.
2:41:59
Darren Schwarzenstruber.
2:42:02
These are cool names.
2:42:04
We got the Grossenbacher and the Schwarzenbacher.
2:42:07
Simpsonville, South Carolina.
2:42:09
First time donating.
2:42:12
You've been de-douched.
2:42:14
Waiting for the ice storm to arrive.
2:42:16
Stay safe.
2:42:16
Priscilla Rubio, Norwalk, California.
2:42:18
$50.
2:42:19
And finally Ari Kuna in Woodstock, Georgia.
2:42:23
$50.
2:42:24
We thank these producers and of course our
2:42:26
executive and associate executive producers that we mentioned
2:42:28
earlier.
2:42:29
And they all get their titles.
2:42:32
And not under $50.
2:42:34
We did not mention them because that is
2:42:37
for reasons of anonymity.
2:42:38
Please go to knowagendadonations.com and make a
2:42:42
donation.
2:42:43
Support the show.
2:42:44
It's value for value.
2:42:45
Any amount, any frequency for the recurring donations.
2:42:47
We appreciate it all.
2:42:49
Thank you for supporting the best podcast in
2:42:51
the universe.
2:42:58
Okay.
2:42:59
We have a long list today.
2:43:00
Dakota Walker celebrated on the 13th.
2:43:02
David Kekta, happy birthday to Tammy Mack.
2:43:05
40-something on January 23rd.
2:43:08
Bill Durkin has a couple of birthday wishes.
2:43:10
His sister Beth White, she celebrated on the
2:43:13
24th.
2:43:14
His nephew Patrick White, also on the 24th.
2:43:17
And what do you know?
2:43:17
Bill himself celebrated on the 24th.
2:43:20
Nelson Knapp turned 51 yesterday as well.
2:43:24
Sir Deep Thought turns 46 today.
2:43:26
Mom and Dad wish Jacqueline Wednesday Myers.
2:43:32
There we go.
2:43:33
She'll be turning 2 years old today.
2:43:35
Happy birthday from your Uncle Adam and Uncle
2:43:37
John.
2:43:37
Jason, happy birthday to Brittany Miller celebrating their
2:43:40
7th anniversary of her 39th birthday today.
2:43:44
And finally, Sir Wayne Larkholm celebrates his birthday
2:43:47
tomorrow on January 26th.
2:43:49
Happy birthday from everybody here at the Best
2:43:51
Podcast in the Universe!
2:43:52
It's your birthday, yeah!
2:43:55
We have no title changes, nights, dames, nothing
2:43:58
at all.
2:43:58
By the way, that birthday list is very
2:44:00
long which means a lot of people have
2:44:02
sex in mid-April In space.
2:44:07
Well, in space, if they can.
2:44:09
In mid-April which is around Easter, and
2:44:13
I guess it's interesting that there's so many.
2:44:17
I mean, today's a record breaker, 10 people.
2:44:20
I always try to have sex at least
2:44:21
in April as well.
2:44:24
It's a low T.
2:44:26
I don't know anybody named April so I
2:44:28
can't do that.
2:44:30
No Agenda Meetups!
2:44:38
It's always like a party, the No Agenda
2:44:40
Meetups, and of course the meetups take place
2:44:43
worldwide.
2:44:44
You definitely want to go to at least
2:44:46
one of these in your lifetime, I guarantee
2:44:48
you.
2:44:48
Once you've gone to one, you will want
2:44:50
to go to more, probably with the same
2:44:52
group.
2:44:53
We do have a cancellation.
2:44:55
Sunday was supposed to be the Indie NA
2:44:57
Shill Shiny New Year Meetup at 3 o
2:44:59
'clock.
2:45:02
Is that today?
2:45:03
Yes.
2:45:04
That has been cancelled due to weather.
2:45:06
Obviously Indie.
2:45:07
That would have meant the Blind Owl Brewery.
2:45:09
They hope to reorganize it for Thursday.
2:45:15
So keep checking noagendameetups.com to find out
2:45:18
if that happens or not.
2:45:20
On Thursday itself, the North Georgia quarterly meetup
2:45:22
takes place at 6 o'clock at Cherry
2:45:24
Street Brewing in Alpharetta, Georgia.
2:45:26
And Sir Bob will be organizing that.
2:45:28
And we did have that Sao Paulo, Brazil
2:45:31
meetup and we got a meetup report.
2:45:33
In the morning, Adam and John, Augusto de
2:45:36
Britalian, based in Berlin, now here in Sao
2:45:38
Paulo, my hometown.
2:45:39
And I met this gentleman, American gentleman, living
2:45:43
here in Sao Paulo.
2:45:44
I'm assuming his gender.
2:45:46
It's a he.
2:45:47
And we had interesting open conversations about many
2:45:51
topics.
2:45:52
And now about the pronunciation of two special
2:45:54
words in Portuguese.
2:45:56
One is Cachaca.
2:45:58
And the other one is the state.
2:46:00
It's Bahia.
2:46:02
And that's it, gentlemen.
2:46:04
Thank you for your courage and for more
2:46:07
years.
2:46:08
Sounds like it was a small meetup, but
2:46:10
two people makes a meetup.
2:46:12
And we love getting those meetup reports.
2:46:14
So we're expecting some from the following meetups
2:46:16
which will take place on the 31st.
2:46:18
Oakland, California and Wilmington, California, two in Cali.
2:46:21
Then in February, Keyport, New Jersey on the
2:46:23
1st.
2:46:24
Indianapolis, Indiana on the 1st as well.
2:46:26
Mount Laurel, New Jersey on the 8th.
2:46:28
Eagle, Idaho on the 14th.
2:46:30
Camp Hill, Pennsylvania on the 15th.
2:46:32
Charlotte, North Carolina on the 19th.
2:46:34
And Coleyville, Texas on February 21st.
2:46:37
I'm sure more will pop up.
2:46:39
Go to noagentomeetups.com.
2:46:41
You can find all of the meetups that
2:46:42
are listed.
2:46:43
We go all the way through May right
2:46:44
now.
2:46:44
And if you can't find one near you,
2:46:46
here's an idea.
2:46:47
Start one yourself.
2:46:48
People will come.
2:46:49
We'll announce it.
2:46:50
Send us a meetup report.
2:46:51
It's a lot of fun for the family
2:46:53
and for the kids.
2:46:54
Noagentomeetups.com.
2:46:55
Always fun, always a party.
2:47:09
You wanna be where everybody feels the same.
2:47:14
It's like a party.
2:47:17
That's right, everybody.
2:47:18
It's a party.
2:47:19
We've got John's tip of the day coming
2:47:21
up.
2:47:21
I'm a little bit bummed because Tina wasn't
2:47:23
able to go to Costco to get your
2:47:25
last tip of the day, which sounded like
2:47:28
a good El Cheapo wine right up my
2:47:30
alley.
2:47:31
It was really good, actually.
2:47:33
I'm sure it is.
2:47:34
Now, before we do anything, though, we have
2:47:36
to choose our end of show ISO, which
2:47:38
we do in this segment of the show.
2:47:41
I think I've come with some good ones
2:47:43
for today.
2:47:44
Here we go.
2:47:46
For four more years and possibly far beyond.
2:47:50
That's Heather.
2:47:51
That's done by your voice.
2:47:53
That's Heather.
2:47:55
That's Heather from the Dark Horse podcast.
2:48:00
You know Heather.
2:48:01
For four more years and possibly far beyond.
2:48:04
Okay.
2:48:06
Here's another one.
2:48:07
This isn't easy to do.
2:48:09
Okay.
2:48:10
I think that's also a candidate.
2:48:12
And this one, this may just take the
2:48:14
cake.
2:48:14
They'll never be able to replace these guys
2:48:17
with AI.
2:48:21
Okay, I'm going to go into an abeyance
2:48:24
mode and push mine off.
2:48:26
Really?
2:48:26
And give you that last one.
2:48:28
Really?
2:48:29
Wow.
2:48:29
They'll never be able to replace these guys
2:48:32
with AI.
2:48:33
There it is.
2:48:34
And before we even get to it, it's
2:48:37
time for John's tip of the day.
2:48:39
Great advice for you and me.
2:48:42
Just a tip with JCD.
2:48:45
And sometimes Adam.
2:48:49
And yeah, after doing all these expensive, even
2:48:51
though I did that, I tried to back
2:48:53
it off with the cheap wine.
2:48:54
That's a amazingly good product.
2:48:58
I should get some more.
2:49:00
Wine, some other inexpensive items, free things.
2:49:03
I had to go, I'm trying to go
2:49:04
down scale after being condemned for the $1
2:49:08
,000 television set.
2:49:10
We'll never live that one down, will we?
2:49:12
Well, you know, it's still a great product.
2:49:15
It is.
2:49:15
What am I going to say?
2:49:16
It is.
2:49:17
And people have to buy TV sets, so
2:49:19
there you go.
2:49:20
So let's go down to something that costs
2:49:21
a couple of bucks.
2:49:24
And this is one of, we have a
2:49:26
number of people out there that help me
2:49:27
with these tips and they suggest things.
2:49:29
They suggested this, and this is actually a
2:49:30
pretty good little guy, a little product.
2:49:33
This is the, people should all have one
2:49:36
of these sticks, or even a three-pack
2:49:39
of these Tide Oxy stain sticks.
2:49:45
They're called Tide Stain Remover for Clothes Go
2:49:48
-To Pen.
2:49:49
We have it.
2:49:50
Instant Spot Remover for Clothes Travel in Pocket
2:49:52
Size.
2:49:53
We have it.
2:49:54
$2.34 from Amazon and elsewhere.
2:49:58
I concur with this tip because I'm known
2:50:01
around here as Mr. Spot.
2:50:03
Oh, Mr. Spot.
2:50:05
Yes, I am always getting food on my
2:50:08
clothes.
2:50:10
I'm the guy that, you know, oh, I
2:50:11
made this spaghetti.
2:50:12
Oh, man.
2:50:13
What?
2:50:14
So, yes, Tina has these in massive quantities
2:50:20
and they are quite good at removing spots.
2:50:25
So this is the Tide Stain Remover for
2:50:29
Pen.
2:50:30
Are these available in Europe, Australia, and other
2:50:34
places around the world?
2:50:35
I think they're available most places.
2:50:37
It's a very hot product.
2:50:39
Tide has done a pretty good job.
2:50:40
It's a hot product, everybody.
2:50:42
You know, I got a, I had a
2:50:45
meeting long ago, I think it's with Procter
2:50:48
& Gamble, whoever owns Tide, it's either Procter
2:50:52
& Gamble or the other guys, and I
2:50:54
got a long lecture about, I'll just mention
2:50:57
it, a long lecture about detergents and toothpastes
2:51:01
and all the rest of it from these
2:51:03
guys, you know, the company men.
2:51:05
And they went on and on about how
2:51:07
the reason that you should only buy liquid
2:51:09
detergent is because they made all the good
2:51:14
powder detergent illegal because you had to have
2:51:16
a certain phosphorus content in there to make
2:51:18
it work well.
2:51:19
And if you buy Mexican detergent, you can
2:51:22
get the good old-fashioned powdered detergent, but
2:51:26
otherwise you can only get any cleaning power.
2:51:29
It has to be liquid.
2:51:31
And I've always made note of that little
2:51:34
tidbit, and some other stuff they told me.
2:51:37
It's a hot product, everybody.
2:51:39
Hot product, hot!
2:51:42
It's probably owned by BlackRock.
2:51:44
That's John's tip of the day!
2:51:55
Created by Dana Burnetti.
2:51:57
Alright, that will do it.
2:52:00
noagendafund.com tipoftheday.net.
2:52:02
End of show mixes.
2:52:03
We've got some slop.
2:52:07
We got MVP.
2:52:08
Can I make a comment on the end
2:52:10
of show mixes?
2:52:11
Yeah.
2:52:11
Because I've been moaning about this one voice
2:52:14
that I keep hearing that does the Broadway
2:52:15
tunes, and I realize who it was.
2:52:18
Who is it?
2:52:18
Who they're stealing from.
2:52:20
It's a voice that is kind of, the
2:52:22
way I describe it is it's kind of
2:52:24
thin, but it's pleasant, and always on tune,
2:52:28
it's always keyed up properly, and there's nothing
2:52:31
wrong with it.
2:52:31
It's Steve Lawrence, of Steve Lawrence and Edie
2:52:34
Gourmet, mixed in with a little Mel Tormé.
2:52:38
And that's coming right up, along with Dee's
2:52:41
Laughs, and a banger, a slap and slop
2:52:45
end of show mix.
2:52:46
Also from MVP, getmojams.com After the show,
2:52:51
live on the screen, we've got Upbeat 66,
2:52:53
Salty Cray, I'm bringing you the pod, I
2:52:57
mean, the Value for Value music show, there
2:52:59
you go.
2:53:00
And we're coming to you here from Fredericksburg,
2:53:03
Texas, heart of the Texas Hill Country.
2:53:05
In the morning, everybody, I'm Adam Curry.
2:53:07
And from northern Silicon Valley, where we ain't
2:53:10
got no frost, I'm John C.
2:53:12
Dvorak.
2:53:12
We'll be back on Thursday.
2:53:13
Remember us, noagendadonations.com.
2:53:16
Until then, adios, mofos, a hooey hooey, and
2:53:20
such.
2:53:49
...talking about MAGA with a wink and a
2:53:51
flare, and the Clintons laughed at his wedding
2:53:55
feast.
2:53:55
He was toast of the town, to say
2:53:58
the least.
2:53:58
Though it's a flip-flop phenomenon, can't you
2:54:02
see?
2:54:03
From a Democrat darling to the GOP, one
2:54:06
day you're posing for the paparazzi lens, the
2:54:09
next day you're losing all your Hollywood friends.
2:54:12
The ink on the check was a shade
2:54:14
of blue, but the tie turned red and
2:54:17
the bridge burned too.
2:54:18
Yeah, it's a flip-flop phenomenon.
2:54:22
...
2:54:23
...
2:54:25
The cameras are still rolling, but the audience
2:54:27
has changed.
2:54:29
Same man in the spotlight, but the seating's
2:54:31
rearranged.
2:54:32
Trump is the president, and they all are
2:54:35
deranged.
2:54:38
...
2:54:38
...
2:54:41
...
2:54:42
...
2:54:46
...
2:54:47
...
2:54:51
...
2:54:51
...
2:54:51
...
2:54:53
...
2:54:59
...
2:55:03
...
2:55:04
...
2:55:05
Inappropriate hugging scares me away What's going on
2:55:08
with all these lies?
2:55:10
What's going on with all these lies?
2:55:12
I just want to multiply Don't even know
2:55:14
the reason why Get paid and give it
2:55:16
to the next guy Oh my, oh my,
2:55:18
oh my, oh my Some people can't even
2:55:20
spell oh my Yours, your, and your, oh
2:55:23
why?
2:55:23
Can't even get the apostrophe right Adult kids
2:55:26
don't even know how to write Kids listening
2:55:28
to their parents fight Trauma, trauma, trauma, right?
2:55:32
Incandescent bedroom light Flickering all day and night
2:55:35
Flickering at 8 feet height Signals going in
2:55:38
my eyes Come on man, you riding slow
2:55:41
Pick it up or I got to go
2:55:43
Don't pretend that you don't see the lows
2:55:45
Waiting there for you to fold Yes, I'm
2:55:48
getting old Yes, I want to be bold
2:55:51
Yes, I got no hold This month is
2:55:54
really, really cold Don't give up on the
2:55:56
future, man Just stick to the written plan
2:55:58
We can do it, I know we can
2:56:01
At least you're not in Iran But come
2:56:03
on man, don't you understand?
2:56:06
Nothing's changed, it's the same old plan Bombs
2:56:08
away and then let's plan Oh man, oh
2:56:10
man Make money, handle fist I need that,
2:56:14
you need this Then you piss, then I
2:56:16
piss Then it becomes a pissing contest Yes,
2:56:19
I said it No, I don't regret it
2:56:22
In the morning writing raps They telling me
2:56:25
the song is stacked Ladies and gentlemen of
2:56:27
the No Agenda Gitmo Nation We are pleased
2:56:29
to bring Jenna Boy, Jenna Ready
2:56:39
for Value
2:57:02
for value Thank you for your service Perform
2:57:38
your The
2:57:59
best podcast in the universe Adios, mofo Dvorak
2:58:05
.org Slash NA They'll never be able to
2:58:09
replace these guys With AI Oh my god
2:58:15
Did I hear what I heard?
2:58:18
What am I, what a chopped liver?
2:58:21
You know, when I was a kid They
2:58:23
didn't have robots Kill all humans I'm watching
2:58:33
Dancing Dogs
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