0:00
It goes up and it goes up and
0:01
it goes up and it goes up.
0:02
Adam Curry, John C.
0:04
Dvorak.
0:04
It's Thursday, March 12th, 2026.
0:07
This is your award-winning Gilboa Nation Media
0:08
Assassination Episode 1850.
0:11
This is no agenda.
0:14
Releasing the oil and broadcasting live from the
0:18
heart of the Texas Hill Country here in
0:20
FEMA Region Number 6.
0:21
In the morning everybody, I'm Adam Curry.
0:24
And this is Mimi Smith-Dvorak coming to
0:27
you from the Pacific Northwest where weathermen try
0:30
to give us hope by saying there's chance
0:33
of sunbreaks in the morning.
0:38
Hey, these weathermen you're looking at, they are
0:42
a bunch of fake news.
0:44
Well, that's why you listen to Max Velocity.
0:46
No, Max Velocity was wrong too.
0:49
I mean, everybody's like, you better shelter in
0:52
place, Curry, it's coming your way, you're gonna
0:54
die.
0:55
They tried to get me with the weather
0:57
machine but failed.
0:59
The entire storm went around Fredericksburg.
1:03
We had lots of thunder, a little bit
1:06
of rain, but nothing else.
1:08
It was fantastic.
1:09
And so Max Velocity was wrong.
1:12
Well, he never talks about my part of
1:13
the world.
1:13
It's still raining.
1:14
No one cares.
1:15
Well, no.
1:16
And of course, no one cares about Missouri.
1:19
There are people missing and it's a mess.
1:23
I haven't seen on the news at all.
1:25
Not for a second.
1:28
News?
1:28
What's news?
1:29
Well, there's that.
1:31
There's that.
1:33
So right off the bat, we have a
1:35
clip from John.
1:37
Ah, now you want to give us an
1:40
update first or we want to go straight
1:42
into the clip?
1:43
Go straight to the clip.
1:45
Hey, this is John in the hospital.
1:48
I wanted to say hello to all the
1:51
well-wishers in the No Agenda show.
1:54
And I will be giving a food report
1:56
after I get that.
1:59
I don't want to give it now because,
2:01
you know, who knows what they'll do.
2:03
But it can't be worse than spitting in
2:05
the food.
2:08
So anyway, I hope to be getting back
2:11
on online within the next week.
2:15
And thanks.
2:16
So thanks for your support.
2:18
You know, he sounds almost like the old
2:22
John, but there's I detect something new in
2:25
his voice.
2:26
Well, that's because he's tired.
2:28
That was at the end of the day.
2:29
He's they're making him he's in rehab, the
2:32
rehab part of the hospital.
2:33
So they're making him get up and walk
2:35
around and, you know, sit up and sit
2:39
down and, you know, fight, fight, fight.
2:42
So, you know, Jay recorded this in the
2:44
evening.
2:45
So he's a little tired in the morning.
2:46
He actually doesn't have much of a voice.
2:50
No, in the morning, he sounds great.
2:53
But towards the evening, he starts getting a
2:55
little sluggish.
2:57
And, you know, he's always optimistic.
2:59
So there's that.
2:59
So we'll see.
3:00
Do you think that he can actually be
3:02
back?
3:02
He said back online.
3:04
Does that mean back on the mic back
3:06
on air within a week?
3:07
Does he really think he can do that?
3:09
You know, maybe we'll have to play it
3:12
by ear and figure out of how to
3:14
do this, because, yeah, he's going to have
3:16
to ease back into it.
3:17
He's not 100 percent yet.
3:20
That's for sure.
3:20
Well, no.
3:21
How's the how's his mobility?
3:23
How's his walking?
3:24
How's.
3:26
Well, the Jay and Brennan heard the occupational
3:30
therapist go slow down, slow down as he
3:33
was trailing behind him on the ward.
3:36
So good.
3:38
Yeah, he's doing great.
3:40
Yeah.
3:40
I talked to him.
3:42
When did I talk to him?
3:43
Monday, I think, or Tuesday.
3:45
Yeah.
3:46
And he sounded really good.
3:48
I was just like, you know, I said,
3:50
does it hurt?
3:51
He says yes.
3:51
When he laughs, when he coughs.
3:53
OK, got it.
3:54
But yeah, he sounded.
3:58
Uncharacteristically grateful, does that make any sense?
4:02
He's like, hey, thanks for calling.
4:05
Tina said, can you talk to him?
4:07
I said, what are we going to say?
4:09
Like, we don't talk ever, but we only
4:12
talk on the show.
4:13
I don't need to talk to him.
4:14
And then I heard Horowitz talk to him.
4:17
Dana Brunetti talked to him like, well, I
4:19
should talk to him.
4:20
I should say something.
4:22
He's using his cell phone.
4:25
Wow.
4:26
For what?
4:26
For surfing?
4:28
Oh, just to call.
4:29
Oh, no, that too.
4:30
No, he's probably, for all I know, he's
4:32
listening to the show.
4:35
But yeah, you know, it's it's very encouraging.
4:39
I can finally exhale and relax a little
4:42
bit.
4:42
So yeah, I know we're happy to hear
4:44
that here.
4:45
I've got so, of course, still a lot
4:47
of emails coming in and and everyone's very
4:52
concerned.
4:52
There was something you said on on the
4:55
last show.
4:56
What was that?
4:59
Are you OK?
5:00
A 16-year-old basset hound who just
5:03
yawned.
5:04
Wait a minute.
5:05
How many dogs do you have?
5:06
We got Moose locked up in your bedroom.
5:08
Now you've got a basset hound.
5:09
Is that the one that used to live
5:10
with John or is this a different one?
5:12
Different one.
5:13
And this is it's her sister, actually, the
5:15
one that used to live with John.
5:17
This is her sister.
5:19
I have four dogs.
5:21
OK, just an all time low for me.
5:25
So here's here's the note that someone sent.
5:30
When you asked about John's Medicare, Mimi said
5:35
it only covers 60 percent.
5:37
It freaked me out.
5:38
I'm retiring next year.
5:40
Everything I read says it covers 80 percent
5:43
plus coverage is available for the remaining 20
5:46
percent.
5:47
Was Mimi just mistaken?
5:50
Maybe I was going by what a hospital
5:53
person told me.
5:55
I have no idea.
5:57
I've heard I've heard all kinds of varying
5:59
numbers.
6:00
We didn't get much of the extended coverage
6:02
that you can opt for because we pay
6:06
an awful lot for Medicare, just the part
6:08
A and B as it is.
6:09
So for whatever reason, you know, I mean,
6:12
it's fine.
6:13
Well, you know, it's fine.
6:14
I'll have you see I'll have to work
6:17
more.
6:17
Have you you should start a podcast.
6:21
You have a podcast studio here.
6:22
So I do.
6:23
Yeah.
6:24
Everybody wants you and Tina to do a
6:25
show now.
6:26
All of a sudden, it's like, OK, fine,
6:28
fine.
6:29
What do you know what the hospital bill
6:32
is yet?
6:32
If you don't mind me asking.
6:33
No, no, nobody will tell me that at
6:36
all because I I'm always asking questions like,
6:39
OK, it's going into rehab for a week.
6:41
How much does that cost?
6:42
And they all go, oh, they don't have
6:44
our pay.
6:44
It's above our pay grade.
6:46
I've heard that three times now.
6:48
So we'll see.
6:50
So looking at the at the quad screen
6:52
right now, we have a shooting at a
6:55
synagogue in Michigan.
6:59
Everybody is freaked out about Islam.
7:03
Islam is taking over Texas.
7:05
And now we have the big scare in
7:09
California.
7:11
I'm going to ramp it up for you
7:12
here.
7:13
Say Federal Joint Terrorism Task Force has warned
7:16
California law enforcement agencies that the Iran war
7:18
could lead to a surprise drone attack somewhere
7:22
in the state of California.
7:23
And while the warning is being taken seriously,
7:26
there is no credible threat at this time.
7:30
Mary Beth McDade joins us live from the
7:32
KTLA News Center with more details on this
7:34
developing news.
7:35
I can hear while the FBI isn't commenting.
7:38
Both Governor Newsom and Mayor Bass confirm they're
7:42
aware of the FBI alert that was sent
7:44
out last month as tensions were heating up
7:47
between the U.S. and Iran.
7:48
The alert warns that Iran may conduct a
7:51
surprise drone attack against targets in California if
7:55
the U.S. carries out strikes against Iran.
7:58
Now, of course, the Babylon B already posting.
8:01
Thank you, Sir.
8:02
Ben Rose, that Iran says they've canceled the
8:05
planned California attack after seeing that Gavin Newsom
8:08
already destroyed it.
8:09
That makes total sense.
8:11
They did.
8:12
They did ask the president about this on
8:14
Air Force One.
8:14
President Trump, what have you heard about this
8:17
bulletin that some law enforcement put out about
8:19
a possible Iran revenge plot in California, where
8:23
there would be some kind of a boat
8:25
off shore launching drones towards being investigated.
8:29
But you have a lot of things happening.
8:31
And all we can do is take them
8:33
as they come.
8:34
And the war itself is being prosecuted as
8:37
well as anybody has ever seen.
8:39
And this is other countries telling me to
8:41
big countries, powerful countries.
8:43
They said they've never seen anything like it.
8:45
And they also agree with what I'm doing.
8:47
They say it's it's an evil country.
8:50
And it's been for 47 years that way.
8:52
And if they try to hit us back,
8:54
have you been briefed about how many Iran
8:57
sleeper cells there could be inside the U
9:00
.S. right now?
9:01
And a lot of people came in through
9:03
Biden with this stupid open border.
9:05
But we know where most of them are.
9:08
We've got our eye on all of them,
9:10
I think.
9:12
They came in through the open border policies
9:15
of sleepy Joe Biden, one of the worst,
9:19
the worst president in the history of our
9:21
country.
9:23
And we've got our eyes on all of
9:25
them.
9:25
But the war itself is being prosecuted at
9:28
a level that nobody's seen before.
9:30
It's pretty it's pretty amazing.
9:32
So being a media deconstructionist, I'm like, OK,
9:36
where's this coming from?
9:37
Where's the report from?
9:38
Who said this?
9:39
What is going on?
9:40
I noticed.
9:42
Yes.
9:42
Yes.
9:43
Well, I will actually go ahead.
9:45
OK, we're going to keep we're going to
9:47
keep we're going to keep doing this until
9:49
we yeah, until we get it.
9:50
You're supposed to say go ahead, Kara.
9:53
That is the that is.
9:54
Go ahead, Kara.
9:57
I noticed a lot of these reports came
9:59
from ABC.
10:01
And so I go looking at ABC and
10:03
well, listen to this report.
10:06
Good afternoon.
10:06
I can tell you we just learned that
10:08
the FBI reportedly warned California police about that
10:13
unconfirmed intelligence report involving a possible drone strike
10:17
by Iran off the West Coast.
10:20
That's according to ABC News.
10:22
It's reports like that one, which is exactly
10:25
why we see some barricades outside fencing here.
10:29
We know that by Sunday, there will be
10:30
hundreds of police officers deployed here to the
10:34
Dolby Theater, along with hundreds of federal homeland
10:36
security and FBI personnel.
10:38
But important to note, authorities emphasize there is
10:42
no confirmed specific threat tied to the Oscars
10:44
right now, but they say high vigilance is
10:46
necessary given the global tensions created by the
10:49
conflict with Iran.
10:51
Authorities say an encoded shortwave radio message believed
10:54
to have originated in Iran was detected shortly
10:57
after the reported killing of the country's supreme
11:00
leader on February 28th.
11:02
Investigators say the number sequence resembled signals historically
11:06
used to communicate with covert operatives and may
11:09
have been intended for sleeper cells, though officials
11:13
stress there is no confirmed threat tied to
11:15
it right now.
11:15
ABC News, as we just said, reporting the
11:18
FBI recently warned California law enforcement about intelligence
11:22
suggesting Iran may have considered launching drone attacks
11:26
from a vessel off the US West Coast.
11:28
If American strikes occurred, officials say the report
11:31
included no details on timing targets or perpetrators
11:34
and remains unconfirmed.
11:37
Oh, so it's unconfirmed.
11:39
It's an old report and the Oscars are
11:42
this Sunday on ABC.
11:44
Absolutely.
11:45
But so when I first heard about the
11:47
cryptic messages, I started looking around and I
11:50
occasionally go to some of the, I think
11:53
they're wonks technically, who are really into shortwave.
11:57
Now, when I was a kid, I had
11:59
a shortwave radio, so I know what they're
12:01
talking about.
12:01
Most people don't.
12:03
So I do have a really good from
12:05
Ringway Manchester and introduction to the shortwave numbers,
12:11
what it means.
12:11
So that's, it says shortwave introduction.
12:14
Well, it's been hold on, shortwave introduction.
12:17
Yes, I got it.
12:18
I got it.
12:19
The signal in question is a number station.
12:21
For those who don't know, they're mainly groups
12:23
of numbers, sometimes letters, encrypted by means of
12:27
a one-time pad, making them impossible to
12:29
decode by anyone except the sender and recipient.
12:32
They've been used for almost 100 years now
12:35
to send and receive the most sensitive information
12:37
between the intelligence services and agents and spies
12:40
in the field.
12:41
Aside from voice messages, number stations also consist
12:44
of data and digital modes, as well as
12:46
code.
12:48
There are still many in use today.
12:50
It's not often we see new number stations
12:52
appear these days, however.
12:54
The most recent one I can recall is
12:56
V30, the Vietnamese lighthouse number station.
12:59
It appeared on February the 21st, 2010, but
13:02
disappeared on May the 6th, 2016.
13:05
The thought of a number station appearing on
13:07
the air in 2026 is something really spectacular
13:09
and quite honestly unbelievable.
13:12
A new one has appeared, though it would
13:13
seem, on 7910kHz last night and tonight, and
13:17
it's definitely one to watch.
13:19
It's believed to be operated by Iran.
13:21
Iran has never operated a number station before.
13:24
This one appeared suddenly and mysteriously after the
13:27
death of really
14:02
stupid reports in the past few weeks.
14:08
I'm a ham radio guy, so I know
14:09
all about the digital stations, and then all
14:12
of a sudden on a part of the
14:15
band where people send digital messages, which is
14:20
actually one of my favorite ways of doing
14:23
ham radio, because you can do it with
14:24
low power.
14:26
All of a sudden they're like, oh, listen
14:27
to this, and it's just like Olivia or
14:30
it's PSK32 or 31.
14:32
I mean, this is nothing special.
14:35
So for now all of a sudden to
14:37
have a number station pop up, that's interesting.
14:40
So what do you have?
14:42
So I've got, there's four clips and they
14:44
all kind of fit together.
14:45
I keep my clips really short because it's
14:48
easier for me.
14:50
Where this guy, Ringway Manchester, actually discusses it,
14:54
he goes into probably too much detail, such
14:58
as he talks about that it shows up
15:00
and suddenly there's a lot of bubble sounds
15:03
that show up.
15:04
The way that they can block it is
15:05
through this much louder sound, and Iran is
15:10
blocking the station so it keeps bouncing around.
15:14
So we should probably just go to Ringway
15:17
Final because that explains what they think it
15:20
is, because they don't think it originates from
15:22
Iran.
15:23
They know that the countries that still do
15:25
these number stations include Israel and Russia.
15:30
Russia, yeah.
15:31
And they haven't, because it's jumping around, they
15:33
also haven't been able to figure out where
15:34
the tower is, but they do not think
15:36
it comes from Iran.
15:37
So if we do, I think six is
15:39
a pretty good final.
15:51
Is this the wrong one?
15:52
This is the Manchester Final?
15:54
Is that what you want me to play
15:55
here?
15:56
Three, I'm sorry.
15:57
Manchester Three.
15:58
The Finals.
15:59
Just a final.
16:00
Sorry.
16:00
All right, no problem.
16:01
Many of the comments on my recent videos
16:03
regarding this station have posed the same question.
16:06
Could V32 actually be operated by somebody other
16:09
than Iran?
16:10
Could it be operated by the United States
16:12
Central Intelligence Agency or Israel's Mossad in order
16:16
to signal agents inside Iran has been the
16:18
main question put forward in the comments.
16:20
While many people have raised this question, on
16:23
the face of it, it sounds absurd.
16:25
The CIA hasn't operated a number station for
16:28
many decades, and Israel hasn't for about 15
16:30
years either.
16:31
Presumably they've moved to more sophisticated ways of
16:34
sending secret information.
16:36
These past few days, however, something has happened
16:38
that would appear to support the theory that
16:40
the Persian number station may not be Iranian
16:43
in origin.
16:44
It's been jammed, and it's been jammed hard.
16:46
The interesting thing is that the jammer sounds
16:49
remarkably like the bubble jammers Iran uses and
16:51
has used for many years in order to
16:53
jam foreign broadcasters such as Radio Fada.
17:01
It's like I'm living in the 50s again.
17:03
What is going on?
17:05
So our news station's going, oh, cryptic messages
17:08
from Iran.
17:09
Yes.
17:10
The experts in this are saying, uh-uh,
17:13
you know, uh-uh, I don't think so.
17:15
And it's, I always find it amusing that
17:17
our news spins it for fear.
17:20
It's just fear.
17:21
Oh, secret messages are getting out.
17:24
Well, yeah, we all saw the Americans, so
17:26
we know it's true.
17:27
We know that's how the Russians do it.
17:28
And of course, also during Russiagate, didn't we
17:32
have, who's that woman?
17:36
She was the wife of, I think, one
17:40
of the FBI agents, and they were communicating
17:43
through ham radio.
17:46
Gosh, I forget what the story was.
17:48
You know, Ron, if you listen to 2C
17:52
-TV, he talks about everybody's so freaked out
17:55
after the pager thing and everything else that
17:58
they aren't communicating through any devices.
18:01
They're sending couriers all over the place.
18:03
You know, I'm skeptical of this 2C-TV
18:06
guy.
18:07
Are you?
18:07
Yeah, I am, because he just popped up
18:09
all of a sudden.
18:11
And you even said on the last show,
18:13
you said, well, I don't know where he
18:15
came from.
18:16
I got a note from someone about it.
18:18
Hold on a second.
18:19
Oh, good.
18:22
Yeah.
18:23
So this producer is Israeli, living in the
18:26
US since 2017, February 22nd.
18:30
A friend of mine told me to go
18:31
watch 2C-TV reports that Iran launched some
18:34
100 missiles, a bunch were intercepted and nine
18:37
hit Tel Aviv.
18:38
I then checked in Israeli news outlets.
18:40
There was no mention of it.
18:41
Talked to friends in Israel who said that
18:43
no one was even thinking about Iran at
18:45
the time.
18:46
Reported back to my friend, the American, and
18:48
said all is quiet in the Holy Land.
18:50
He checked 2C's website again, and all of
18:52
a sudden those videos were gone.
18:54
March 1st, after the actual attacks, I asked
18:57
him to go to the website again and
18:59
see if they had the same video reports.
19:01
He said that the video he was watching
19:03
was pretty much the same one he watched
19:04
the week before.
19:05
So our producer's hypothesis, they had a package
19:09
all ready to roll.
19:10
Someone let it slip a week in advance
19:12
and 2C-TV is somehow someone else's billboard.
19:19
2C lives in the UK.
19:21
Okay.
19:22
I'm not saying that he's not in Iran.
19:25
The UK is our enemy.
19:28
Right.
19:28
Well, so he's, and the thing is he
19:30
has been on for about two years.
19:31
He used to do just long form documentaries
19:33
and I used to watch those.
19:35
So I'm familiar with them.
19:36
I'm not quite sure, but I enjoy watching
19:40
it because why not?
19:41
It's the same as watching mainstream media.
19:43
It's just a different perspective of propaganda.
19:48
I'm just saying, yes, yes.
19:49
I'm just saying we need to be suspicious
19:51
of 2C-TV.
19:52
I am at least.
19:53
I agree.
19:54
Okay.
19:55
So the final clip here.
19:57
No, you don't have to worry about that.
19:59
You skipped over it.
20:00
It's fine.
20:01
They fit together that way.
20:03
So the whole thing with shortwave, I'm just
20:06
amused that suddenly something pops up on shortwave
20:09
and I haven't thought about a number station
20:11
for years.
20:12
And I just, it's like, and suddenly our
20:14
news is saying, Oh, Oh, it's a cryptic
20:17
message.
20:17
It's blah, blah, blah.
20:20
Well, I have a recording of the, of
20:23
the number station that I wanted to share
20:25
with everybody.
20:25
And I think this is, it becomes kind
20:27
of obvious.
20:33
Standby.
20:34
33, 33, 33.
20:38
Robilizer out.
20:39
There you go.
20:40
It's obvious, obvious what the code is.
20:43
No, this is just a promotion for the
20:44
Oscars.
20:45
I'm telling you because the report from the
20:47
FBI is months old.
20:49
Oh yeah.
20:49
Oh yeah.
20:50
We're going to have an Iranian drone ship
20:52
off the coast of California.
20:55
Please.
20:56
Yeah, I know.
20:58
I find it to be interesting.
20:59
Meanwhile, you know, the thing in New York
21:01
with the mom dummies, the residents being bombed
21:05
as it first came out.
21:06
And then when the real story comes out,
21:08
it's like, it's like two teenagers.
21:10
No, it is two teenagers.
21:12
Yeah.
21:12
Here I have a clip.
21:13
New details tonight surrounding the Bucks County teenagers
21:16
accused of trying to carry out an ISIS
21:18
inspired attack in New York city.
21:21
ABC news has learned they allegedly considered other
21:24
targets before driving into Manhattan late Saturday morning
21:28
with homemade bombs while searching a storage unit
21:31
in Middletown Township.
21:32
This week, investigators discovered a notebook in which
21:35
the teens wrote about soft targets like shopping
21:38
centers.
21:39
Investigators also say Emir Bilat and Ibrahim Kayumi
21:43
had been planning some kind of attack for
21:45
at least a week.
21:46
Two members of the NYPD are being hailed
21:48
as heroes for their efforts in chasing down
21:51
the suspects near the mayor's home.
21:53
Gracie mansion.
21:54
They spoke today about their action.
21:56
I saw the device hit the floor and
21:58
I just ran.
22:00
I knew that I needed to save lives.
22:02
So I ran towards the people to make
22:04
sure that nobody got hurt.
22:05
It was all instinct.
22:06
There wasn't a lot of, there wasn't a
22:07
lot of thought, you know, there was a
22:08
real threat.
22:09
There was a real danger there.
22:10
And the goal was just to get to
22:12
it.
22:13
Bilat and Kayumi are being held on a
22:14
terrorism charge, use of weapons of mass destruction
22:18
and other offenses tonight.
22:20
Did these things even go off?
22:23
No, they didn't.
22:24
But, um, first I like the fact that
22:27
everybody was like, Oh, this is the very
22:29
first reports where it's, it's, you know, Iran,
22:31
Iran, except ISIS and Iran hate each other.
22:38
So I don't know how that works.
22:39
Details.
22:41
And then the other part is these, these,
22:44
so I have the Philly teen storage, which
22:47
I found to be very amusing.
22:49
Um, cause it's got, Oh, sorry.
22:52
I won't go ahead.
22:52
Go ahead.
22:53
I just, what I find really interesting is
22:56
the way this whole thing is reported.
22:58
Um, it was like, Oh God, how did
23:01
they get this information?
23:03
You know, how'd they do this?
23:04
And so let's play that teen storage and
23:07
then I will give you some other information.
23:10
This is the moment the FBI blew up
23:14
suspicious items found at a storage unit outside
23:16
Philadelphia.
23:17
Investigators say they contained explosive residue and were
23:20
linked to the two teens charged with attempting
23:22
to carry out an ISIS inspired attack in
23:25
New York.
23:26
One of the teens seen here hurling a
23:28
homemade bomb that tested positive for the explosive
23:30
TATP police say a second device the teen
23:33
ignited before running down the sidewalk and leaping
23:36
over a police barrier was also a potentially
23:38
viable explosive.
23:41
Hey, I'm a potentially viable explosive.
23:45
So they have a bunch of other reports
23:47
about how the kid was buying fuses.
23:50
Like that's some kind of thing with, if
23:51
you don't understand that in, um, Pennsylvania, they
23:56
have the laxest fireworks regulations in the country.
23:59
They have stores that are open 365 days
24:02
a year to buy class C fireworks, um,
24:06
consumer grade.
24:07
And, um, it's like where he went into
24:10
is like a, a chain of superstore for
24:12
fireworks.
24:14
Um, the kids are kind of interesting because
24:17
Emmer Amir Blatt, his father, it was sought
24:21
asylum in 1998.
24:22
He's been naturalized.
24:24
The kid was a senior, but not in
24:26
high school.
24:26
He was in a virtual program.
24:28
And then at the first meeting of court,
24:31
he said, Oh, his attorney said, well, he's
24:33
got complicated stuff going on.
24:35
Um, his father's a painter.
24:38
So, um, this, this TATP is, um, triacetone
24:43
triperoxide, which is just, um, hydrogen peroxide and
24:48
acetone.
24:48
His father would have, yeah, exactly.
24:52
Now, without too much trouble, I found multiple
24:55
instances where you can find out how to
24:57
make this online.
24:58
And I have one that's just that you
25:00
don't have to go on too long, but
25:01
this is one guy who actually did a
25:03
whole thing on how to make it.
25:05
It's called molecular playground.
25:08
Oh, I got it here.
25:09
Yes.
25:10
Investigators descending on a pair of quiet neighborhoods.
25:23
It's Linux pay no attention to what's going
25:26
on.
25:26
Here we go.
25:27
Thank you all for following me this past
25:28
year without you, I would have retired this
25:31
channel a long time ago.
25:32
Seriously.
25:33
If you asked me a year ago that
25:35
I would have a YouTube channel with a
25:36
thousand subscribers, I would think you're crazy, but
25:39
now I believe we can go even bigger
25:41
now, how big, well, let's find out.
25:44
However, with growth comes a growing pains.
25:47
It seems as some proxide, my video has
25:49
become a lightning rod for controversy.
25:51
And by that, I mean, it has more
25:53
than two negative comments.
25:54
In fact, only as some proxide has been
25:57
both revered and revired by the community.
25:59
Everything else has received nothing but love.
26:02
I can't stress enough.
26:03
The dangers of as some proxide, especially dry
26:06
looking back, I probably should have put a
26:08
PSA within the intro about its dangers.
26:12
Meanwhile, I have another one called eight years
26:14
ago on Facebook video.
26:21
Police say this guy is talking about a
26:23
highly explosive concoction, nicknamed the mother of Satan.
26:26
This is the stuff used in some deadly,
26:29
huge attacks like the one in Paris.
26:31
It's a Facebook video.
26:32
That's frightening.
26:33
It's only 3%.
26:34
Police say that's 28 year old Cali Volante
26:37
inside his Northeast Albuquerque apartment showing off a
26:41
trove of chemicals and actually synthesize a more
26:44
explosive compound.
26:45
TATP TATP or mother of Satan is a
26:50
combo of hydrogen peroxide, acetone and acid.
26:53
It's unclear if Volante is making it or
26:55
wants to, but the video on his public
26:58
profile was enough to get him arrested for
27:00
having an explosive device.
27:02
I remember this.
27:03
I mean, yeah, I remember all of the
27:05
more cases like this.
27:07
Yes, I found about 15 right off the
27:10
bat.
27:10
Yeah, people were getting arrested in the drugstore
27:12
for buying too much nail polish remover, you
27:15
know, all kinds of stuff like that.
27:17
Now, because I looked up the FBI affidavit
27:21
to see if they had been in contact
27:23
with the boys beforehand.
27:24
Appears not.
27:27
But one of the boy's mom did report
27:31
him missing on the day of the attack.
27:33
So.
27:34
There's that.
27:35
The whole thing just stinks.
27:36
Well, you know, the whole thing is it's
27:38
like, but then the one thing that that
27:41
showed up and then it disappeared is that
27:46
they it was after the Russell paper, sorry,
27:52
that it was claimed early on that both
27:55
of them watched ISIS propaganda on their phones.
27:58
And OK, maybe the claim is that ISIS
28:03
recruits from Roblox and they're called cubs of
28:07
the cell of fate and celibate revivalists.
28:09
There's a whole bunch of specials that have
28:11
never gotten a lot of airplay that are
28:13
about this 764 targeting.
28:16
Oh, yeah.
28:16
Now we've talked about 764.
28:18
Sure.
28:18
Right.
28:19
So I'm waiting for that to start to
28:21
get connected with this just because there are
28:23
so many stupid videos on 764, which, you
28:27
know, again, it sounds a lot like like
28:30
Epstein stuff.
28:31
It also seems like, you know, it's the
28:34
same thing that I've heard forever.
28:36
How, you know, the Internet is preying on
28:39
your children.
28:40
Well, it is.
28:41
Of course, it is.
28:43
It is.
28:44
But I think the overarching thing is that
28:47
this is not new.
28:48
This has been going on forever.
28:50
All of these types of Internet getting kids
28:52
to do stupid stuff, most of it perpetrated
28:54
by the FBI.
28:56
Like, oh, yeah, yeah, yeah.
28:57
I'll tell you where to go.
28:58
You go get the stuff over there.
29:00
And then when they're about to hit the
29:01
the phony ignition, then they arrest them.
29:04
And then the FBI is the hero.
29:06
So not in this case.
29:08
Right.
29:09
Well, in this case, it was the bomb
29:12
wasn't put together properly because I guess these
29:14
kids aren't all that great when it comes
29:16
to following directions.
29:17
So it's so good to scare the American
29:20
public continuously.
29:22
That's what we want.
29:23
We want a scared population.
29:26
Scare them.
29:27
And the entire situation was Nick Shirley actually
29:32
interviewed Jake Lang, who was the one who
29:34
was doing the anti Islamist thing at Mondami's
29:38
house.
29:38
And he had a lot of press there
29:40
and he was walking a goat because his
29:43
entire thing was that, you know, that Muslims
29:46
screwed goats.
29:49
He had a roasted pig in front of
29:51
Mondami's house.
29:52
He was just doing everything he could, which
29:54
is what he does to be inflammatory and
29:57
annoying.
29:59
And so a bunch of other people on
30:01
the other side came out and that was
30:03
the protest.
30:04
But there were never more than like 50
30:05
people in front of the house.
30:08
It was really not the whole thing is
30:10
like it was lame.
30:14
And it's like I and the amount of
30:17
crazy stuff that came out.
30:20
I actually I really like the amount of
30:22
time he first comes out and he's like
30:25
criticizing this anti that they were attacking him.
30:30
That was the first thing he said.
30:34
You know, it was like everything started to
30:36
twist.
30:37
But oddly enough, people twisted back.
30:40
And I think that the best thing is
30:41
the Mondami criticism for March 9th.
30:44
I have a clip that I just thought
30:45
I keep talking over.
30:47
I'm sorry.
30:48
We'll get it down.
30:48
New York City Mayor Zoran Mondami also facing
30:52
brutal backlash over his response to that attack.
30:55
Mondami posted a statement labelizing the protest organizer
30:59
as a white supremacist, but never mentioned that
31:02
it was the protesters who were the ones
31:04
targeted or that the suspects appeared to have
31:06
radical Islamic motives, according to investigators.
31:10
New York Congressman Mike Lawler responded online, writing,
31:13
quote, They were radical Islamic terrorists as mayor
31:16
of the largest city in the world and
31:17
the greatest target of terrorism.
31:19
You don't need to confront this head on.
31:21
Don't just call out one group of protesters
31:24
and not the other group.
31:26
Yeah.
31:28
Yeah, this is perfect.
31:31
You know, in the age of social media,
31:35
Fredericksburg, everybody's all flipping out because, you know,
31:38
this had been this constant nonstop campaign that
31:42
is Islam is taking over Texas.
31:46
It's it's it's nonstop.
31:49
The number of fake bomb things in the
31:53
news in the last week have just been
31:55
insane.
31:56
You know, this school, you know, hospitals, this
31:58
and that.
31:58
But if you look at the the numbers,
32:00
you know, there's last year alone, there were
32:02
twenty four hundred, you know, bomb fake bomb
32:06
calls and we sure didn't hear about it.
32:09
So it's it's a convenient thing to trot
32:12
out to try to scare people.
32:14
Well, here's Anderson Cooper continuing the continuing the
32:19
fear.
32:20
Richard, I'm wondering what do you make of
32:21
that FBI memo?
32:22
Because we were showing pictures of Shahid drones.
32:24
It seems unlikely Iran would have access to
32:26
Shahid drones in the U.S., but certainly
32:29
commercial drones, Jerry, rigged with explosives.
32:31
We've seen that all over Ukraine.
32:34
Oh, I should mention I'm I met with
32:38
a buddy from Holland yesterday.
32:40
He's the he runs a nonprofit, the I
32:43
forget the name of the nonprofit, but it's
32:45
the crisis response.
32:47
And he brings in mesh networks and gets
32:49
people up on Wi-Fi.
32:51
And so we had the big flood here.
32:54
He I remember.
32:55
Yeah, he came in.
32:56
So he's he's actually setting up a company
32:58
in in San Antonio, really nice guy, Afert.
33:02
And he said, man, you would not believe
33:05
that the minute all of the EU decided
33:08
to spend all this hundreds of millions of
33:11
euros on anti drone technology, guess what?
33:15
The drones stopped flying over airports all of
33:18
a sudden.
33:19
You don't hear about it anymore.
33:20
It's all a scam.
33:22
It's amazing.
33:23
Perfect example, Anderson.
33:24
Could the Iranians get their larger drones into
33:27
the country or off the coast of California?
33:29
Highly doubtful.
33:30
But we heard them describe this as an
33:32
aspirational thought.
33:34
What we're really concerned about is it becomes
33:36
inspirational.
33:37
This is California, the largest Iranian population in
33:41
the United States.
33:42
And there certainly could be several people that
33:43
are sympathetic to the regime.
33:45
So that's certainly one of the problems.
33:47
So this threat, which was described as aspirational,
33:50
not imminent.
33:51
What is the intelligence threshold for when the
33:53
FBI shares this kind of information with other
33:55
law enforcement agencies?
33:57
Well, this is the job of the Joint
33:58
Terrorism Task Force in every FBI office every
34:01
single day.
34:02
They coordinate with all of their partners.
34:04
In this case, it looks like this information
34:05
came from the Coast Guard.
34:07
They correlate this information.
34:09
Again, we heard it's unverified, uncorroborated, no actionable
34:12
intelligence.
34:13
But in this day and age, they're going
34:15
to share that information.
34:16
They have no choice.
34:17
Nobody wants to be caught sitting on any
34:19
of this.
34:19
And we see that California is taking the
34:21
appropriate steps.
34:22
They're going to notify their emergency responders.
34:25
All the police departments throughout the state are
34:26
aware of this.
34:27
And that means they'll just check their traps.
34:29
They'll talk to the people that they need
34:30
to talk to, talk to any sources, research
34:33
any ongoing cases and look to see if
34:35
anything like this is being planned.
34:37
Yeah, Disaster Tech Lab is the name of
34:39
Afert's non-profit.
34:42
So yeah, this is, you know, just more
34:44
fear.
34:44
And of course, now we have this Michigan
34:47
car crashing into a synagogue and, you know,
34:51
Michigan, Dearborn, Islam, they're taking over.
34:54
We're going to be like, yeah, we got
34:54
Tommy Robinson going around to churches and texts.
34:58
I like Tommy Robinson in general, but he's
35:01
going to pastors and saying, you better start
35:03
talking about this because it's happening.
35:06
You don't want to be like the UK.
35:07
You're probably more vulnerable.
35:09
The situation is quite different.
35:13
You know, Texas has 400,000 Muslims.
35:15
Are there some Islamists who are nuts?
35:18
Of course.
35:19
But it's not like, I don't like it
35:21
when people are walking around afraid of a
35:24
brown person.
35:25
It's stupid.
35:27
Well, and California, yes, has a large Iranian
35:30
population, especially in Los Angeles.
35:33
Yeah, Persians, we call them.
35:34
We're Persians.
35:37
And most of them were never Muslims to
35:39
begin with.
35:40
I mean, I know families from Iran that
35:42
moved to Southern California and they were they
35:45
were Jewish Iranians and Christian Iranians because they
35:49
were the ones that had the most to
35:51
lose by the Ayatollah coming in.
35:53
I mean, I know there were people that
35:55
I knew as a kid that were killed
35:58
by the Iranians, you know, by the Ayatollah.
36:01
They were just hauled off, tortured and killed.
36:04
I do not see that we need to
36:06
fear Iranians.
36:07
And I don't really see that I'm saying
36:11
that that, oh, well, you know, there's a
36:12
large Iranian population like they're a threat to
36:16
us.
36:16
I mean, no.
36:18
And this it's it's again, no one is
36:22
looking.
36:23
No one is looking at Iranians.
36:24
They're looking at Muslims.
36:26
And then so if there's a mosque, then
36:28
that mosque is by definition suspicious and they're
36:32
going to come and get you.
36:33
That's that's what's happening.
36:35
That's what's happening here in Texas.
36:36
It is.
36:37
And it's in particular Christians are being terrorized
36:41
with this.
36:42
Yeah, well, to get them to vote Republican,
36:46
it's always the same.
36:49
Yeah, I'm I kind of liked I have
36:53
a thing called Sky News priority of U
36:55
.S. media, and I found that to be
36:57
kind of a very interesting.
36:59
Take CNN, let's talk about them because they've
37:02
come under fire for spinning the ISIS inspired
37:05
attempted bombing out the front of the New
37:08
York mayor's residence into some kind of human
37:10
interest color story in a questionable post on
37:14
X.
37:15
The network wrote to Pennsylvania teenagers crossed into
37:19
New York City Saturday morning for what could
37:21
have been a normal day enjoying the city
37:24
during abnormally warm weather.
37:26
But in less than an hour, their lives
37:28
would drastically change as the pair would be
37:31
arrested for throwing homemade bombs during an anti
37:35
-Muslim protest outside of Mayor Zoran Mamdani's home.
37:40
I mean, even talking about just it was
37:42
an anti-Muslim protest, not the fact that
37:45
these two were suspected of doing it in
37:48
the name of ISIS, according to police.
37:51
CNN has since deleted the post and issued
37:54
an apology.
37:54
But truly, this is beyond parody, isn't it?
37:57
No, it's bizarre, but it's such obviously fascinating
38:01
insight.
38:01
It doesn't matter they deleted it because this
38:02
is what they were thinking.
38:03
They only deleted it because the backlash, but
38:06
such a fascinating insight into the legacy media
38:08
and how they deal with these issues.
38:10
Look, this is not crazy surprising, surprising, unfortunately.
38:16
I did a little bit of an analysis
38:18
and I fed this to three different A
38:20
.I. models.
38:21
And what they came up with that there's
38:24
been three in the last 24 hours, three
38:26
times as much coverage on these civilian deaths
38:29
in Iran than there has been on an
38:31
ISIS attack here in the United States.
38:35
It's absolutely incredible on what their priorities are.
38:38
And they're doing that, obviously, because they want
38:40
to make this war look like some evil,
38:43
terrible war where civilians are being murdered.
38:44
By the way, just for some context, CNN,
38:47
just so you know, yes, there've been a
38:49
little under 2,000 Ryan civilians who have
38:51
been killed, and that's awful, right, obviously.
38:53
But in context, you're talking about roughly between
38:56
15,000 and 30,000 bombs that have
39:00
been dropped in Iran.
39:01
Talk about precision to have 2,000 civilian
39:04
deaths with that kind of heavenly weaponry being
39:07
dropped in Iran shows you how much the
39:09
U.S. military in Israel cares about trying
39:12
not to hit civilian deaths.
39:13
That should be the article, not the article
39:16
saying, look how many civilian deaths and by
39:17
the way, ignoring pretty much the ISIS attacks.
39:20
It just gives you a sense of the
39:21
priorities of the U.S. media.
39:23
Yeah.
39:25
Obviously, I've seen her on Sky News.
39:27
We used to play a lot of clips,
39:30
but at a certain point, I'm like, look
39:32
at your own media, lady.
39:33
Yeah.
39:34
Oh, no, there's that.
39:36
It really sucks over there.
39:39
Okay.
39:40
And he used three large language models.
39:42
Oh, I'm so glad you did that.
39:44
Now I feel so secure in what you've
39:45
discovered.
39:47
The point, though, that we have we have
39:50
exploded a lot of stuff.
39:51
But when you consider that it's like it
39:54
takes out one apartment, you know, one apartment
39:57
in a complex and people are getting killed
40:00
that way.
40:01
You know, this isn't massive carpet bombing.
40:04
It's not.
40:04
It's a new style of warfare.
40:07
And for us to be going, oh, look
40:08
how many people were killed.
40:10
Well, you know, the IRGC killed easily in
40:14
the last protest, 30,000 people, and they've
40:16
killed more than 100,000 in the 47
40:19
years, if not more.
40:20
And it's like, you know, trying to make
40:24
this attack on Iran seem like, you know,
40:28
like, oh, you know, down with terrorists, down
40:32
with with with, you know, with horrible rulers.
40:35
Oh, but except Iran, we shouldn't be attacking
40:37
there.
40:38
I'm getting really confused by the whiplash that
40:40
I'm seeing.
40:41
And I'm seeing it here.
40:42
It's because it's Trump.
40:43
That's why Trump.
40:45
Trump is doing something that no president has
40:48
done.
40:48
And even me saying like he's doing something
40:51
no president has done.
40:52
People come out and I'm unsubscribing.
40:56
I will never donate.
40:57
I get it.
40:58
And yeah, President Trump definitely said no more
41:03
foreign wars, no more forever, whatever he said.
41:06
The idea was we're not going to have
41:07
war.
41:09
And it doesn't matter what he does, particularly
41:12
in the EU.
41:14
Again, from Everett, who just came over, he
41:17
says, you know, in Holland for years, like
41:18
all the poor Iranian people, we should set
41:21
them free.
41:21
They need help.
41:22
We need to do something.
41:24
Trump says we're coming to help.
41:26
And then I guess this is going to
41:28
help.
41:30
And immediately, oh, you should never done that.
41:32
It's no, it's Trump.
41:33
It's just Trump.
41:35
People hate Trump.
41:36
And Trump knows it.
41:37
And he's gotten over that.
41:39
He doesn't care anymore.
41:40
He's doing what he thinks is right.
41:42
I hope he's right.
41:44
I hope that he that it goes the
41:46
way he thinks it will.
41:48
A lot of my military contacts don't think
41:51
so.
41:52
They think that that's going to be similar
41:54
to Afghanistan.
41:55
There's going to be all kinds of crazy
41:57
people running the show over there.
41:59
And then neither you nor I will ever
42:02
be invited on Tucker Carlson show with he
42:06
had McGregor on who refused to even speak
42:09
to John for an interview, which still irks
42:11
John.
42:12
And here is McGregor's take.
42:15
We need to end this.
42:17
And somebody will say, well, why do you
42:19
need to end it?
42:19
Because if we don't, we're going to hit
42:22
$300 per barrel of oil.
42:25
We're going to watch 60 to 80 of
42:28
the stock value crash.
42:31
People are going to lose trillions in wealth.
42:33
It will be a disaster.
42:35
And it's not something we'll recover from.
42:37
We've we've already seen that the Israelis hit
42:40
a refinery on the outskirts of Tehran.
42:42
And what did Iran do?
42:44
They destroyed the refinery.
42:45
And it's supporting infrastructure in Haifa.
42:49
How does this help us?
42:51
How does this help anybody?
42:53
The damage that's being done is going to
42:55
be semi-permanent.
42:57
And by that, I mean, it's going to
42:58
take years to recover from this.
43:01
The Qatari government has said we're shutting down.
43:03
We can't store anymore.
43:05
We can't drill anymore.
43:06
We can't refine anymore.
43:07
I mean, this this is a catastrophe.
43:09
We look at this and say, well, only
43:11
3 percent of our oil comes from the
43:12
Gulf.
43:13
Well, I got news for you.
43:14
50 percent of it goes to India.
43:16
50 percent goes to China.
43:19
You know, 70 plus percent goes to Japan.
43:21
What?
43:22
Wait a minute.
43:22
He ran out of percent.
43:24
He went from 50 to 50 to 70.
43:26
What?
43:27
It goes to India.
43:28
50 percent goes to China.
43:30
You know, 70 plus percent goes to Japan.
43:33
Mid 60 percent or so, 64 or 65
43:36
percent goes to South Korea.
43:39
He's at 210 percent.
43:41
Now, we call the president or the prime
43:44
minister of Japan.
43:45
Did we call the president of Korea and
43:47
say, by the way, we're considering a war
43:50
against Iran, action against Iranians.
43:54
And we want to know what you think
43:56
the impact will be on your country, because
43:58
you are friends of ours.
44:00
You are our allies.
44:02
Did we do that?
44:04
I don't think so.
44:06
I think we are acting like the biggest
44:08
bully in the schoolyard to hell with everybody
44:10
else.
44:11
This is what I want.
44:12
And I'm going to pound your face into
44:14
the dust.
44:14
Well, you can't do that in international relations
44:17
for very long before people gang up against
44:20
you.
44:21
OK, that is that is his opinion there.
44:24
I don't know.
44:25
I don't know.
44:26
I don't want to have pizza at his
44:28
house because I don't think there's enough pizza
44:30
for everyone.
44:32
His percentage pizza.
44:34
Did you say pizza?
44:35
Did you want pizza with grape soda?
44:37
What are you talking about?
44:39
And jerky and jerky.
44:40
No, it's just it's just one of those.
44:42
It's it's new math.
44:44
You know, I went to school and when
44:45
they changed the math.
44:47
No, I think what he meant to say
44:48
is 75 percent of their imports comes from
44:51
Iran.
44:52
But it just came out in a strange
44:53
way.
44:55
But but this is this is clearly, clearly
44:58
about China.
45:01
And at the same time, it's clearly also
45:04
about Russia as Russia is now benefiting from
45:08
this even more than we are or or
45:11
probably equally to what we are.
45:12
And from everything I've understood, Russia is going
45:15
to start selling their oil and dollars.
45:18
This is this is ultimately what it's about.
45:20
It all since the pipeline episode, episode 100
45:23
or whatever it was.
45:25
It's it's about the oil.
45:26
It always is.
45:28
Well, yes, it is about the oil.
45:31
There's no two ways about it.
45:32
Unless unless you're Queen Ursula in the EU.
45:35
Oh, no, no, no.
45:37
Since the beginning of this conflict, gas prices
45:40
have risen by 50 percent and oil prices
45:44
have risen by 27 percent.
45:47
If you translate this in euros, the 10
45:52
days of war have already cost European taxpayers
45:56
an additional three billion euros in fossil fuel
46:01
imports additional.
46:03
That is the price of our dependence.
46:08
And honorable members, fact is, we have energy
46:13
sources that are homegrown renewables and nuclear.
46:17
Their prices have remained the same over the
46:20
last 10 days.
46:22
Yet in current crisis, some argue that we
46:26
should abandon our long term strategy and even
46:30
go back to Russian fossil fuels.
46:32
This would be a strategic blunder.
46:35
All right.
46:36
So after we blew up the nuclear plants
46:39
in Germany, we're now going to save our
46:41
souls with wind and with solar in the
46:44
EU.
46:45
But well, but going back to Russian fossil
46:48
fuels would be a blunder of epic proportion.
46:53
And so this brings us to the oil.
46:56
Yep.
46:57
Here's a little update on the latest in
46:59
the Straits tonight, with 20 percent of the
47:02
world's oil being prevented from passing through this
47:05
vital waterway.
47:06
Three vessels attacked in the critical Strait of
47:09
Hormuz.
47:09
One of those ships in flames, claiming the
47:12
captains ignored their warnings not to come through.
47:14
Attention, all ships from now on, all navigating
47:18
through the Strait of Hormuz is forbidden.
47:21
Meanwhile, a foreign oil tanker was ablaze in
47:24
the port of Mkassa near Basra in southern
47:26
Iraq.
47:27
A security source saying the vessel sustained significant
47:30
damage.
47:31
It's not yet known what the cause was.
47:33
And tonight, Iranian drones also striking Oman's largest
47:38
oil facility, setting off massive explosions in videos
47:43
circulating online.
47:45
All of this adding to huge global volatility
47:47
in oil markets and gas prices back in
47:50
the US.
47:52
Tonight, the retaliation from Iran on those ships
47:55
and oil fields seem as a major escalation.
48:00
It comes just hours after the US struck
48:02
at least 16 boats capable of laying sea
48:05
mines in that all important Strait of Hormuz.
48:09
Iran tonight now warning the world to get
48:11
ready for oil prices to skyrocket to $200
48:14
per barrel.
48:16
Earlier, the president was pressed if he'd still
48:18
encourage oil companies to pass through the dangerous
48:21
Strait of Hormuz.
48:22
After saying 24 hours ago, the crews on
48:25
those oil tankers should have the guts to
48:27
do it.
48:27
I think they should use.
48:32
And even as all of this plays out,
48:35
the president tonight in Kentucky claiming victory.
48:38
And we've won.
48:38
Let me say we've won.
48:40
You know, you never like to say too
48:42
early, you won.
48:43
We won.
48:43
We won the bet in the first hour
48:45
it was over.
48:46
David, these attacks by Iran causing havoc with
48:49
international shipping and oil prices.
48:51
President Trump has said he'd act to keep
48:53
the Strait of Hormuz open.
48:54
But so far, Iran's ability to pose danger
48:57
to any vessel all too clear.
49:00
So that predicates the releasing of oil from
49:07
the strategic reserves.
49:10
And I have a clip here from Cooper
49:12
about it.
49:12
So it's very hard to judge what winning
49:14
is and what we see from Iran, including
49:16
today, is they're not backing down, right?
49:18
They get a vote.
49:20
Iran gets a vote in this as well
49:22
in terms of how they respond.
49:24
And clearly they are willing to.
49:27
I mean, it seems like they're willing to
49:28
try to shut down the Strait of Hormuz,
49:30
even though economically it will hurt Iran.
49:34
They have other objectives.
49:36
And this is existential for them, right?
49:37
This is the survival of the regime.
49:40
Aside from killing the new Ayatollah's father and
49:44
as well as his mom and his sister,
49:48
you know, they've completely, this is a moment
49:51
for them of survival.
49:53
And so you saw them today, as you
49:54
pointed out, they attacked ships, commercial ships in
49:58
the straits.
49:59
They don't care the prices are going up.
50:00
I think they believe that's their greatest, that's
50:02
their greatest strength against the world.
50:04
Obviously, the president and some of our partners
50:07
releasing oil reserves today, significant oil reserves.
50:10
I'm not sure how much of an impact
50:11
that's going to have on pricing, but they
50:13
know people are feeling it at home.
50:15
And they're watching on TV, seeing what's going
50:17
on as this spreads in the north and
50:19
with Hezbollah in Lebanon.
50:22
It's always amazing how when the president makes
50:24
the, gets the prices down of gasoline at
50:28
the pump, there's no real talk about it.
50:31
But now it's like, oh, he's making everything
50:33
spike.
50:33
And I got, I got an interview that
50:35
I found on CNBC, which was quite good,
50:40
surprisingly, but CNBC does have to get into
50:43
some factual stuff with the secretary of energy,
50:47
Wright, is it Steve Wright?
50:49
Wright, I forget his first name.
50:50
I don't know what his name is.
50:53
And he gave a little more information into
50:56
exactly what's going on, because we're not really
50:59
letting anything go out of our strategic reserves.
51:03
We're not, because that takes a while to
51:05
get the, to get the oil out.
51:07
Listen to what they're doing instead.
51:09
U.S. plans to release 172 million barrels
51:12
of oil from the strategic petroleum reserve in
51:15
an effort to lower energy costs during the
51:17
Iran war.
51:18
Joining us now is energy secretary, Chris Wright.
51:22
For hanging out, I'm doing some, some math
51:26
here and thinking about the SPR.
51:29
We're only at 58% right now.
51:33
If we use 172 million out of 415,
51:38
we'll be below 50% full, won't we?
51:40
We will.
51:42
But as we release this oil to address
51:44
the short-term needs, we're doing it in
51:47
swaps.
51:48
So we're going to release 172 million barrels
51:50
and swap it for more than 200 million
51:53
barrels.
51:53
That'll be back in the reserve within a
51:55
year.
51:56
So ultimately this is going to help us
51:57
fill the reserve, but we need the oil
51:59
in the short-term for the, for a
52:01
short-term pain for long-term gain.
52:03
How does that work?
52:04
Because I saw that.
52:05
So that you will get an, we'll get,
52:06
you'll get 200 back with no cost to
52:09
the taxpayer.
52:09
How does that work?
52:10
Just think of the, the, the price structure
52:13
of oil right now, you know, it's backward
52:15
dated.
52:15
So the front month price is much higher
52:18
than the 12 months out price.
52:20
Right.
52:20
Okay.
52:21
All right.
52:21
So, so yeah, that, that, that the math
52:24
actually works out.
52:27
I think it's a great idea.
52:29
We'll just do a swap.
52:30
Yeah.
52:30
And then, and then when we just, we
52:32
just borrow the oil to give us this
52:34
oil.
52:34
And then when the price is back to
52:36
60, we'll give you some oil back.
52:40
That's a smart, smart way to do it.
52:43
Of course.
52:44
I love all this.
52:45
You know, in Washington state, we have the
52:47
second highest gas prices in the country, where
52:50
for years and years, we were right in
52:52
the, in the pack with, with the average
52:54
price around the country.
52:56
But, you know, good old Inslee pushed through
52:59
the climate commitment act and saying, Oh, it's
53:03
only going to add one or two cents.
53:04
Well, it doesn't add one or two cents.
53:06
It adds about 50 cents to our per
53:09
gallon of oil of gasoline.
53:12
And it hurts.
53:14
It really hurts because we're living way out
53:15
here on the peninsula.
53:16
And, you know, it's two and a half
53:18
hours to get to Seattle.
53:19
Everything gets trucked to us.
53:21
And the bump that we've seen has been
53:23
about 20 cents, 30 cents on average.
53:27
But meanwhile, you know, it's, you know, some
53:32
of the legislators are going, well, we should
53:34
roll it back.
53:35
And, and the governor's saying, no, no, we
53:37
can't.
53:38
No climate change, climate change, climate change.
53:41
Well, the money's already spent.
53:42
And then, and then in California, you know,
53:45
there are more and more refineries leaving because
53:47
of the crazy stuff that's been passed to
53:51
get them out.
53:52
So it's like, why, you know, you're already
53:56
killing us with these prices.
53:58
I mean, I've seen pictures.
53:59
What's the gas prices where you are?
54:01
They have to be something that would just
54:03
make me cry.
54:03
In the threes.
54:06
Okay.
54:06
Yeah.
54:07
For premium, for premium, super duper 98 octane.
54:11
I think it's three 40.
54:13
It's five here.
54:14
Yeah.
54:14
It's five here.
54:16
Yeah.
54:16
Well, you're in a crap state.
54:18
I'm sorry.
54:19
You know, Texas, Texas, Uber, all of us,
54:22
right.
54:22
Right.
54:22
Continues here to explain that it's not just
54:25
the U S releasing a strategic reserves.
54:27
And again, it's not just the United States
54:29
that's releasing, you know, it's 30 nations around
54:32
the world.
54:32
There's no shortage or even really tight oil
54:35
market in the Western hemisphere.
54:37
The issues in Asia, that's where the oil
54:39
from the Persian Gulf flows.
54:41
Japan is releasing three times more than their
54:45
pro rat a share just addressing where, where
54:48
is the struggle is in refineries in Asia.
54:50
We're just getting oil into those refineries as
54:53
quick as possible.
54:54
We're going through a short term disruption, but
54:56
it's overdue to address this Iranian threat.
54:59
That's that's festered and grown for 47 years.
55:03
Okay.
55:03
Trying to make it sound good.
55:05
And, uh, are we ready to escort ships
55:08
yet?
55:08
Uh, Chris, I think people are, are, are,
55:11
you know, would, would love to see the
55:13
Navy being able to escort a tanker through
55:16
the straight and earlier this week from an
55:18
ex post, it looked like that was happening.
55:21
It, it, it, it wasn't happening.
55:22
I guess the white house later said that
55:23
it was incorrect.
55:24
Why isn't it happening?
55:26
Can it happen now?
55:27
It will, it happened soon that the Navy
55:29
can do that.
55:30
It'll happen relatively soon, but it can't happen
55:33
now.
55:33
We're simply not ready.
55:35
All of our military assets right now are
55:37
focused on destroying Iran's offensive capabilities and the
55:42
manufacturing industry that supplies their offensive capabilities.
55:46
You know, we don't want this to be
55:47
a brush off for a year or two.
55:49
We want to permanently destroy their ability to
55:52
build missiles, to build drones, to have a
55:54
nuclear program.
55:56
It is amazing.
55:57
They have invested all of the wealth of
55:59
their country, deprived the rights of all of
56:01
their people simply to build a war machine.
56:05
And we are systematically day by day, destroying
56:08
that war machine.
56:09
I like this because that was the first
56:12
time someone's given kind of a straight answer.
56:14
So what we're actually doing and for him
56:18
to say, Oh no, we're getting rid of
56:19
all their production because obviously we need us
56:23
companies to go in there and start doing
56:25
production and refining.
56:27
And then Becky, Becky over at CNBC, she
56:30
had a series of very good questions wearing
56:33
her, she wears a tie, which is kind
56:36
of looks, looks kind of odd.
56:37
Secretary Wright, when you say weeks, not months
56:39
for the incursion, the war, whatever you might
56:42
want to call this, the question that the
56:44
markets are focused on, does that mean days
56:46
or weeks before you might be able to
56:49
start escorting some of those tankers through the
56:52
strait?
56:53
When we talked to an oil expert earlier
56:56
this morning, she suggested that if this carries
56:58
on for the next couple of weeks through
57:00
the end of the month, that you could
57:01
be looking at oil prices above $150.
57:04
And it's not just oil that there are
57:06
concerns about.
57:07
There is helium, the tanks of helium trying
57:10
to get through because that's critical to making
57:12
sure we can continue to manufacture semiconductors.
57:16
There's nothing that can be substituted for the
57:18
cooling properties of helium with that.
57:20
Do you think by the end of this
57:22
month, the US Navy will be escorting some
57:24
of those ships through the strait?
57:26
I think that, yes, I think that is
57:29
quite likely the case.
57:30
But again, I mean, I'll be over at
57:31
the Pentagon later today.
57:33
But that is, that is what the military
57:35
is working on.
57:36
And yes, a lot of critical materials come
57:38
out of the Straits of Hormuz.
57:40
Look, we have a large global economy.
57:43
Fortunately, with President Trump's policies, you know, the
57:45
United States is a net exporter of oil.
57:48
We're a net exporter of natural gas.
57:50
And in fact, we're growing our net exports
57:52
of natural gas this spring, this summer.
57:54
You'll see massively more capacity online by the
57:57
end of this year.
57:57
Natural gas is another product.
57:59
So we've done the right things in the
58:01
US to make the Western Hemisphere a much
58:03
better place and to supply the world.
58:06
But it is short term pain for the
58:08
long term gain.
58:09
But it's simply a must achieve thing.
58:11
Otherwise, you've got decades into the future of
58:14
an Iran that can hold the world hostage
58:16
whenever it wants.
58:19
Yes, you know, there is disruption right now
58:21
to do this.
58:22
And if we had if the election had
58:24
gone another way, we probably would our kids
58:27
would be living with Iran, you know, to
58:28
the end of their lives.
58:30
That's not acceptable outcome.
58:32
They've been with me my whole life so
58:34
far.
58:35
Well, not the IRGC.
58:39
Since when have we ever escorted merchant marine
58:42
ships anywhere?
58:43
My dad was a merchant marine.
58:44
He was a merchant marine in World War
58:46
Two.
58:47
During World War Two, you know, that all
58:49
everything was munitions, supplies, everything was shuttled around
58:53
by merchant ships.
58:55
And they were sitting ducks.
58:58
They were, they were sunk more than any
59:01
other group of military, military ships weren't sunk.
59:06
Merchant marine ships were sunk when he was
59:08
in Vietnam, he did the munitions thing through
59:12
the, you know, all their little waterways.
59:15
And there was, the big thing was don't
59:17
go on deck because people on the shore
59:19
will pick you off.
59:20
There was no, we've never escorted ships, even
59:23
through small areas, even through the Suez Canal,
59:26
when we had problems with that.
59:27
Well, the thing, the thinking here is that
59:29
because Lloyd's of London won't insure ships, or
59:33
they went up to $450,000 a day
59:36
from $50,000 a day, that the president
59:39
said, okay, we'll insure the ships at reasonable
59:41
rates, because, you know, he's a sales guy,
59:44
best rates, and we'll escort them.
59:46
I think they will do that.
59:48
Why wouldn't they?
59:49
I mean, since when?
59:50
Well, this is a different president.
59:52
Maybe he will make good on that.
59:54
But do we have enough ships to do
59:55
that?
59:56
I don't know.
59:58
I know.
59:59
I don't know.
1:00:00
I know.
1:00:00
That's a good question.
1:00:01
I have no idea.
1:00:03
I've just never heard of this.
1:00:04
And, you know, I mean, my dad was
1:00:06
in a high risk occupation.
1:00:08
And, you know, you know, he, and he
1:00:11
just accepted it.
1:00:12
This whole concept that we're going to be
1:00:14
able to protect merchant ships is kind of
1:00:16
odd to me.
1:00:17
Well, considering the drone, the, the seed drones
1:00:20
they they've been showing off, it seems complicated.
1:00:25
And those things are wild.
1:00:27
It's just like a little miniature speedboat and
1:00:29
just goes in and blows up a ship.
1:00:31
I don't know.
1:00:32
I don't know that that but I'm all
1:00:34
I can tell you.
1:00:35
That's what they're saying they're going to do.
1:00:37
We'll have to see not not months, weeks.
1:00:40
Right.
1:00:41
Okay.
1:00:41
Well, this entire this all seems to me
1:00:46
to be that what we're really doing is
1:00:48
fighting China.
1:00:49
You know, we're trying to get, you know,
1:00:51
and it's so much for Timu.
1:00:56
No, you're screwed on Timu.
1:00:58
There's actually I got a clip from also
1:01:01
from Sky News, Peter Schweitzer.
1:01:05
And I know him from the book, Clinton
1:01:07
Cash.
1:01:07
He did some other ones.
1:01:08
I like those books.
1:01:09
I think he's a great investigative writer, I
1:01:13
guess not really a writer.
1:01:14
Now he's with he has what is called
1:01:17
the Government Accountability Institute.
1:01:20
And he was on Sky News in Australia.
1:01:24
And he explained how what is happening in
1:01:28
Iran is also bad for China in another
1:01:30
way.
1:01:31
One of the things that we've seen here
1:01:32
is Chinese technology going into the proving ground
1:01:36
of battle and actually not doing that great.
1:01:39
We've seen Chinese ships that were heavily dependent
1:01:43
on Chinese technology.
1:01:44
Now at the bottom of the ocean, we've
1:01:46
seen Chinese air defense systems that, as one
1:01:48
person said, work by work by blowing up
1:01:51
when there's a missile near them.
1:01:53
Is this showing that the Chinese military may
1:01:57
be a bit more paper tiger than we
1:01:59
had thought or feared?
1:02:01
Yeah, yes, absolutely.
1:02:03
And I think this is a big concern
1:02:05
for Beijing.
1:02:06
Let's remember, Beijing gave to Iran their most
1:02:10
advanced air defense systems, highly touted.
1:02:14
They didn't end up doing anything.
1:02:17
They didn't shoot down a single American or
1:02:19
Israeli plane.
1:02:20
And they were destroyed by the air forces.
1:02:24
There are intelligence systems that China has set
1:02:28
up in Iran that didn't work.
1:02:31
And this to me is reminiscent of what
1:02:33
happened during the Cold War back in 1982.
1:02:37
The Israeli Air Force and the then Syrian
1:02:40
Air Force squared off above Lebanon that year.
1:02:43
The Israelis were flying American F-15s and
1:02:47
the Syrians were flying MiG-25s.
1:02:50
The Israelis won that air force, that air
1:02:53
war, by shooting down 82 MiGs without suffering
1:02:57
a single casualty.
1:03:00
Yes, the pilot training was key, but the
1:03:01
technology was important as well.
1:03:04
But what happened after that is the Soviet
1:03:06
ability to sell their arms and to gain
1:03:09
that revenue and to gain a political advantage
1:03:13
with the countries buying those weapons kind of
1:03:15
evaporated.
1:03:16
Because if you're in the developing world, why
1:03:18
do you want the second best weapons system
1:03:20
when you might be facing the first weapons
1:03:23
system?
1:03:24
So I anticipate that this is a major
1:03:26
concern for China as it looks to trying
1:03:30
to sell arms abroad and also use those
1:03:32
arms sales to advance their political agenda.
1:03:36
Yeah, so hurt everywhere with a meeting coming
1:03:42
up between Trump and Xi.
1:03:44
I'm not sure when it is supposed to
1:03:46
be happening pretty soon.
1:03:47
Yeah.
1:03:48
And already the President's talking about Section 301.
1:03:55
This is the new tariff gambit from Article
1:04:01
122, I think.
1:04:03
So Section 301 gives the President the ability
1:04:07
to stop trade, to change trade, to levy
1:04:10
tariffs.
1:04:13
What is it here?
1:04:16
Yeah, Section 301 of the Trade Act aim
1:04:18
to identify unfair trade practices, particularly structural excess
1:04:22
capacity in production and manufacturing sectors, which I
1:04:25
think is a shoo-in for China.
1:04:28
Yeah.
1:04:28
So these are much bigger games.
1:04:31
And I understand Trump sees this as America
1:04:35
first.
1:04:36
It's not popular.
1:04:37
I don't think it's popular at all.
1:04:39
But it may actually turn out really good.
1:04:44
It may, unfortunately.
1:04:47
So I've got a learning curve here because
1:04:49
I don't really pay attention to the national
1:04:52
news.
1:04:53
I focus on local things, you know, state
1:04:56
and local.
1:04:58
And so you're going to have to give
1:05:00
me a show or two to catch up
1:05:02
with you on all this.
1:05:03
I'm only giving you four.
1:05:05
John's going to be knocking at the door.
1:05:06
I know.
1:05:07
Get up to speed quick, Mimi.
1:05:09
I'm working.
1:05:10
I'm working on it.
1:05:11
Go ahead.
1:05:12
No, go ahead.
1:05:13
Go ahead, Kara.
1:05:14
Go ahead, Kara, please.
1:05:18
Hey, you know, the first thing John said
1:05:21
to me, he said, what voice is Mimi
1:05:25
using?
1:05:26
Where did that voice come from?
1:05:28
He says this is a different voice from
1:05:30
your Mimi voice.
1:05:32
And I would say that people love it.
1:05:34
Please keep doing it.
1:05:36
Like, Mimi sounds like a smoke show.
1:05:39
Yeah.
1:05:39
And she's a model.
1:05:40
Oh, yeah.
1:05:41
But John is convinced you're putting on a
1:05:44
voice.
1:05:45
No, it's just my mic voice.
1:05:47
I mean, a mic voice.
1:05:49
It's just a mic voice.
1:05:54
John doesn't know everything about me.
1:05:57
Okay.
1:05:58
All right.
1:05:59
There will be a test.
1:06:01
All right.
1:06:02
Speaking of tests, I got this wonderful clip
1:06:05
that the clip collector found for me from
1:06:08
Reason TV.
1:06:09
It's a quiz about war.
1:06:12
Do you are you familiar with war and
1:06:14
what war is?
1:06:17
Maybe.
1:06:19
Well, I thought so, too, until I heard
1:06:20
this clip.
1:06:21
Welcome back to Is It War?
1:06:24
World War One.
1:06:25
War.
1:06:26
Correct.
1:06:26
World War Two.
1:06:27
War.
1:06:28
Correct.
1:06:29
The Vietnam War.
1:06:30
War.
1:06:31
Oh, I'm sorry, Carl.
1:06:32
That was a congressionally authorized counteroffensive.
1:06:35
Don't worry.
1:06:35
We get right back on track with the
1:06:37
Korean War.
1:06:38
War.
1:06:38
No, that was police action.
1:06:40
No, they had tanks and stuff.
1:06:41
Well, the police have tanks now, don't they,
1:06:43
Carl?
1:06:43
Okay.
1:06:43
The first and second Iraq war.
1:06:45
War.
1:06:46
They identify as military action.
1:06:48
It's a bit like pronouns, except we kill
1:06:50
people.
1:06:51
All right.
1:06:51
How about Libya?
1:06:52
War.
1:06:53
I'm sorry.
1:06:54
That was kinetic action, not a war.
1:06:56
Venezuela.
1:06:57
Well, it was an act of war, I
1:06:59
think.
1:07:00
No, I'm sorry.
1:07:01
That was a law enforcement operation, not a
1:07:03
war.
1:07:03
Iran.
1:07:04
It's a war.
1:07:05
We're doing war things.
1:07:06
No, not war things.
1:07:08
Preemptive retaliatory de-escalation action.
1:07:10
No, that's not a thing.
1:07:12
All right, judges.
1:07:13
Okay.
1:07:14
How about the war on terrorism?
1:07:16
War.
1:07:16
No, it was a coalition-led conditional operation.
1:07:19
How about Afghanistan?
1:07:21
Afghanistan was the war on terror.
1:07:23
No, I'm sorry.
1:07:23
That was a pre-authorized defense stabilization initiative.
1:07:26
Okay.
1:07:26
Can somebody tell me the rules here?
1:07:29
War on poverty, Carl.
1:07:30
Well, poverty, that's not even a thing.
1:07:32
I'm sorry.
1:07:32
I hate to do this to you.
1:07:33
It was a trick question.
1:07:34
We don't have poverty in the United States.
1:07:35
The Dow went up to 50,000.
1:07:36
We couldn't even get that high.
1:07:37
Amazing.
1:07:38
Don't even worry about the Epstein files.
1:07:41
Straight up.
1:07:42
I love it.
1:07:43
George Carlin would be proud.
1:07:45
Yes, he would.
1:07:46
And yeah, World War II was the last
1:07:49
war we had.
1:07:50
Yes, absolutely.
1:07:51
Did you know, George Carlin, when you were
1:07:53
doing your comedy shows?
1:07:54
Did you ever meet him?
1:07:55
I didn't.
1:07:56
No, but I did get to see his
1:07:58
shows about 19 times.
1:08:00
So I was a big fan.
1:08:02
Yeah.
1:08:02
Oh, yeah.
1:08:03
Really miss him.
1:08:04
They killed him early.
1:08:05
Unfair.
1:08:06
Yeah.
1:08:08
You know, there's something to be said about
1:08:10
living a healthy lifestyle for all your life,
1:08:12
not just the last few years.
1:08:13
This is true.
1:08:15
That's why I'm starting now.
1:08:16
John has been a wake-up call for
1:08:18
me.
1:08:19
Make sure I live a healthy lifestyle.
1:08:21
So this week, I was actually really amused
1:08:24
by the Jesse Jackson Jr. warning at the
1:08:27
funeral.
1:08:29
Tina told me about it, but I didn't
1:08:32
see it.
1:08:32
I didn't hear it.
1:08:33
I have the clip of what he said.
1:08:35
Do not bring your politics out of respect
1:08:39
to Reverend Jesse Jackson and the life that
1:08:42
he lived to these homegoing services.
1:08:47
Come respectful and come to say thank you.
1:08:50
But these homegoing services are welcome to all
1:08:53
Democrat, Republican, liberal, and conservative, right wing, left
1:09:00
wing, because his life is broad enough to
1:09:04
cover the full spectrum of what it means
1:09:07
to be an American.
1:09:09
I didn't see any of the speeches.
1:09:11
Did they adhere to his warning?
1:09:13
Oh, not at all.
1:09:14
Not at all.
1:09:15
And actually, I have two different reactions from
1:09:18
two.
1:09:19
One's a Facebook guy.
1:09:21
The other guy's a Substack guy.
1:09:23
And they're very funny.
1:09:25
One of them is Brian Maxwell, Real Politics,
1:09:27
and he gives a reaction to this.
1:09:29
And they literally turned this funeral after the
1:09:33
son requested for it to remain respectful and
1:09:37
honoring his dad.
1:09:38
The Democrats turned it into a political rally.
1:09:43
Yeah, doesn't surprise me.
1:09:46
And then Jeffrey Mead was the other reaction
1:09:48
that I was just amused by.
1:09:49
And he does Substack.
1:09:51
For starters, I'm glad none of them are
1:09:53
in office.
1:09:54
I forgot how nice it was to not
1:09:56
have to hear Joe Biden and Kamala Harris.
1:09:59
But aside from that, they couldn't even just
1:10:01
go pay their respects without talking about Trump
1:10:03
and Republicans.
1:10:04
They used his funeral as a political soapbox.
1:10:07
And I mean, I've seen both sides do
1:10:09
it before.
1:10:09
But the thing that I found interesting is
1:10:11
his son specifically asked not to do this.
1:10:16
Yeah.
1:10:18
How about the Republicans?
1:10:19
Any Republicans doing anything?
1:10:22
No, they weren't.
1:10:22
I just think they weren't.
1:10:27
They didn't speak.
1:10:28
And I mean, if you if you watch
1:10:30
the Brian Maxwell, he kind of goes into
1:10:32
a real deep thing about how much Jesse
1:10:34
Jackson hated Obama, which was it's really kind
1:10:38
of fascinating.
1:10:39
But the entire thing here is that it's
1:10:41
like this this constant deluge from the from
1:10:47
one side of the aisle is I'm finding
1:10:51
it to be really hard to watch the
1:10:53
news because it just makes me kind of
1:10:56
itch.
1:10:56
You know, like, why are we doing this?
1:10:59
Why is it?
1:11:00
Why are we constantly?
1:11:02
I mean, what's the joke if if Trump
1:11:04
found a cure to cancer, everyone would Trump
1:11:08
derangements?
1:11:09
People would say, give me cancer.
1:11:10
I'd rather have cancer.
1:11:12
Yes.
1:11:12
Yeah.
1:11:12
Yeah.
1:11:13
Look at all the hospitals that are suffering
1:11:15
because of what he's done.
1:11:16
But the fact is, that is America.
1:11:19
Our system has always been, as far as
1:11:23
I can remember, has always been this maybe
1:11:25
for a little while during Reagan.
1:11:27
It was different.
1:11:28
And everyone's like, yes, it's great.
1:11:30
And it's going to be because, you know,
1:11:31
we had we had a movie star and
1:11:32
movies.
1:11:33
It was perfect.
1:11:34
It couldn't be any better.
1:11:34
The rest of the world hated us for
1:11:36
that because I was living in Holland at
1:11:39
the time, hated us.
1:11:41
But this is our system.
1:11:42
Look at our social media.
1:11:44
It's always yes, no, right, left, blue, red.
1:11:50
That's what television is.
1:11:52
That's what movies are.
1:11:53
It's politicians.
1:11:55
Everything we do in America is right down
1:11:57
the middle.
1:11:58
You do that.
1:11:59
It's binary.
1:11:59
We have a binary culture right now.
1:12:02
Wait, when I OK, I lived in Iran
1:12:04
as a kid and it wasn't against our
1:12:08
president.
1:12:09
People were against us because we were such
1:12:11
arrogant, you know, jerks.
1:12:13
I mean, one of my favorite stories was,
1:12:15
you know, my mother would would revert to
1:12:17
high school Spanish and speak louder.
1:12:20
Most people would just speak louder English.
1:12:24
And, you know, one of my my memory
1:12:27
is this one woman, Mrs. Britt, who went
1:12:31
into a little little shop that we went
1:12:33
to.
1:12:34
We shopped in a group because the company
1:12:36
sent us on little excursions together so we
1:12:40
would never split up.
1:12:41
And she goes to this poor little shop
1:12:43
clerk and she's asking for noodles and he
1:12:45
doesn't she doesn't know the the Farsi word
1:12:48
for noodles and he doesn't know the English
1:12:50
word noodles.
1:12:52
So she's screaming at him at the top
1:12:54
of her lungs, noodles, noodles, noodles.
1:12:56
And then, you know, she goes, you know,
1:12:58
there's stupid Iranian.
1:12:59
Why can't they learn English?
1:13:01
And, you know, we were we created our
1:13:03
own bad feelings in the world because Americans
1:13:07
were both ignorant and and rude.
1:13:13
I didn't hear that that was anything to
1:13:15
do with our president.
1:13:17
And, you know, television changed what we what
1:13:21
we focus are.
1:13:22
OK, I'll agree with you on that.
1:13:24
In 72, I moved to Holland and for
1:13:27
three years straight, all I heard was on
1:13:30
the street, you crazy American, crazy American.
1:13:33
They hated Americans, number one, for the Vietnam
1:13:35
War, even though they were they were not
1:13:37
involved.
1:13:38
But I guess they just saw it as
1:13:40
wrong and arguably correct.
1:13:42
The second was a lot of technology companies
1:13:45
like Texas Instruments were setting up shop all
1:13:48
over Europe.
1:13:49
You know, this was this was quite an
1:13:51
influx of of Americans.
1:13:54
And we we the people were hated.
1:13:56
But we weren't arrogant.
1:13:57
We weren't horrible people.
1:13:59
They just didn't like us.
1:14:00
Just period.
1:14:01
They didn't you know, whatever socialist Marxist thing.
1:14:05
But yet they all wanted they all wanted
1:14:08
Nike's or Nike's, as they called them in
1:14:12
Europe.
1:14:12
They all wanted Coca-Cola.
1:14:14
They all wanted doughnuts.
1:14:15
Everybody wanted doughnuts.
1:14:17
They all wanted aerobics.
1:14:19
They all want to look like Jane Fonda.
1:14:21
It's a very strange thing.
1:14:24
So I can't speak for Iran, obviously, but
1:14:28
I can definitely speak for Europe, hated us.
1:14:32
And I think unfortunately, some of that fun,
1:14:36
wacky arrogance is gone.
1:14:38
And I was talking to Tina, I was
1:14:40
like, you know, it feels like we used
1:14:43
to be proud of our of our nuttiness.
1:14:45
We used to be, you know, President Trump
1:14:47
is one of the funniest presidents we've had.
1:14:50
And and I still think he's funny.
1:14:53
And I like it when he makes jokes.
1:14:55
But that is hated by so many right
1:14:58
now that you know, the globalist mindset has
1:15:01
definitely set in and social media has pitted
1:15:05
us against each other, even in so called
1:15:09
camps.
1:15:11
So you know, just like this show, there
1:15:13
are people who are leaving the won't listen
1:15:15
to no agenda because we're not denouncing the
1:15:19
crazy president.
1:15:21
It's, it's sad to see.
1:15:25
See, I grew up in a time when
1:15:27
it was you were American first.
1:15:29
And and you know, we had neighbors, we
1:15:31
lived in a in a blue collar community
1:15:33
for a very blue collar.
1:15:35
And we moved to Reno.
1:15:38
And I know my my parents politics were
1:15:42
different from other people's.
1:15:44
But it wasn't something you ever talked about.
1:15:46
I mean, what was the old?
1:15:47
The old saying is you don't talk about
1:15:49
politics or religion at any social event, which
1:15:54
I which I still adhere to, because it's
1:15:55
nobody's business what I do.
1:15:58
I mean, it's like, you know, I don't
1:16:00
talk about you know, who I sleep with
1:16:02
and or who I you know, who I
1:16:03
worship, or hold on, you better be sleeping
1:16:07
with just john.
1:16:08
Is there something you want to talk about?
1:16:09
You want to share with the group here?
1:16:10
Is this something we don't know?
1:16:12
Oh, maybe you'll have to read my memoirs.
1:16:15
But they came out but this became a
1:16:17
thing it became and I lived in in
1:16:21
Hollywood for I couldn't even make it a
1:16:23
year.
1:16:24
If and it's everywhere where there's blue.
1:16:27
If you don't and we had it in
1:16:29
Austin.
1:16:30
I mean, I had to leave Austin because
1:16:31
if you didn't show if you didn't virtue
1:16:34
signal that you were on the right team,
1:16:36
you were immediately considered to be on the
1:16:39
wrong team.
1:16:40
That's where it came from.
1:16:41
And that is the socialist Marxist globalist takeover
1:16:45
that has been force fed through media that
1:16:47
you don't watch.
1:16:49
Well, no, it's force fed through a lot
1:16:52
of other ways to I see it locally
1:16:55
in many ways.
1:16:56
I did discover something interesting this week, though.
1:16:59
You know, I read a lot of weird
1:17:01
things.
1:17:02
And it turns out that, you know, our
1:17:05
representatives don't really listen to us very well.
1:17:08
If you email, they ignore it.
1:17:10
If you call, you don't get through.
1:17:12
If you go to a county or city
1:17:15
council meeting, they ignore you.
1:17:19
But there was a letter writing campaign, letters,
1:17:24
real pieces of paper, you know, the stuff
1:17:26
that you don't like you're rustling around, where
1:17:28
people wrote, please do not vote for this
1:17:31
and made it very clear and mailed it.
1:17:34
And it was the first time in about
1:17:36
15 years that I saw that we were
1:17:39
listened to.
1:17:40
And I really think this is kind of
1:17:42
interesting, because since nobody knows how to write
1:17:44
a letter to your congressman or whatever, saying,
1:17:47
I don't want this, not an email, it's
1:17:49
got to be with a stamp on it.
1:17:51
I think that that's the only way that
1:17:53
we can finally start to be heard.
1:17:56
But I'm an optimist.
1:17:57
What now was this regarding the income, the
1:18:00
state income tax?
1:18:01
Oh, no, that passed.
1:18:02
I was gonna say, where's the letter writing
1:18:04
there?
1:18:05
Huh?
1:18:05
That didn't work out.
1:18:07
Well, there weren't letter writing.
1:18:08
It was just lots and lots of people
1:18:10
on online surveys and things.
1:18:13
And the state wants to get that in.
1:18:16
So it goes to the Supreme Court.
1:18:17
And since Inslee appointed 250 or more, 250
1:18:23
judges by making other ones step down, we
1:18:26
elect our judges, but he was appointing him.
1:18:27
He's kind of, everything's kind of slanted right
1:18:30
now.
1:18:31
It's going to take us a while to
1:18:32
get that straightened out.
1:18:35
Who's this us you're talking about?
1:18:37
People keep electing this guy.
1:18:39
These people are no good.
1:18:40
Inslee, didn't he show his colors during COVID?
1:18:43
Wasn't that enough for people to say no?
1:18:47
We're a mail-in state.
1:18:49
Ah, a scam.
1:18:50
Okay, got it.
1:18:51
I mean, I've, I've, I have all the
1:18:53
voter records for the last two elections because
1:18:56
since I was...
1:18:57
You had, do you have them in your
1:18:58
large language model?
1:19:00
Have you put them into your chat GPT?
1:19:02
No, it's just a spreadsheet, but I've gone
1:19:04
through them.
1:19:05
And the thing that I've discovered is that
1:19:08
there are people registered because you can, in
1:19:12
Washington state, you can register to vote.
1:19:14
It doesn't have to be a permanent address.
1:19:16
It can be any address.
1:19:17
So we've got people who are registered at
1:19:18
the library.
1:19:19
We have people who are registered in the
1:19:22
car outside, you know, Jesse Webster Park.
1:19:25
We have people who, many people who are
1:19:29
registered at our local homeless shelter.
1:19:34
We have people who are registered at all
1:19:37
of the rest homes, including the memory care
1:19:39
homes.
1:19:40
And when you look at those numbers, the
1:19:42
number of people who are registered there far
1:19:44
exceed the number that live there.
1:19:47
Yeah, of course.
1:19:48
So, so, you know, it's in the most
1:19:51
recent election, we had a very close election
1:19:53
of one, one person, two people that there
1:19:57
were 25 votes apart.
1:19:58
And then over the next 10 days with
1:20:01
the recounts and the new ballots coming in,
1:20:05
the, the person who is losing one by
1:20:08
325 votes.
1:20:10
So, so this is clearly the thing.
1:20:13
I mean, you know, I found out in
1:20:15
California that my mother voted for Obama, which
1:20:19
is shocking since she'd been dead since 2001.
1:20:25
Wow.
1:20:26
Mom, way to go.
1:20:28
What's wrong with you, mom?
1:20:30
You voted wrong.
1:20:32
Oh, I'm sorry.
1:20:32
You voted dead.
1:20:34
That's no good.
1:20:36
So, and she also donated to Obama's campaign.
1:20:39
Of course, of course.
1:20:42
So, and I was getting robo calls because
1:20:44
I still have her number is my cell
1:20:46
number.
1:20:47
And I would be getting, you know, yeah,
1:20:48
you voted last time, you know, I did.
1:20:52
And, you know, up here, you know, I
1:20:54
still get even though Jay hasn't lived here
1:20:56
for a while, she still gets a ballot
1:20:58
here.
1:20:59
And I have been unable to get her
1:21:00
off our local voter rolls.
1:21:03
So, yeah, exactly.
1:21:06
So I, you know, I, and the other
1:21:09
thing I found out about voting in Washington
1:21:10
state is that, you know, that we put
1:21:12
everything into a special sleeve, a special envelope,
1:21:16
we sign the outside of the envelope, the
1:21:18
envelope, either you put it in a ballot
1:21:21
box in one of three locations, or you
1:21:23
mail it.
1:21:25
And the procedure is as soon as the
1:21:28
ballots come in, once that signature is verified,
1:21:32
I don't know how they do that.
1:21:34
The, the envelopes are instantly destroyed.
1:21:37
And then, oh, so there's no record.
1:21:38
There's no record.
1:21:40
Not at all.
1:21:41
And after the, you've accepted that, okay, yeah,
1:21:45
I lost whatever.
1:21:47
So it's 10 days after the election, usually
1:21:49
they destroy all the ballots.
1:21:51
Yeah.
1:21:52
Which is illegal.
1:21:55
It's illegal.
1:21:55
I think in most states, isn't it?
1:21:58
Most well, illegal all depends on how good
1:22:05
your lawyer is.
1:22:06
Not just the law.
1:22:07
Well, there, we don't have, we supposedly have
1:22:10
open public meetings act up here, but it's
1:22:12
all been neutered.
1:22:13
Everything's been neutered.
1:22:14
You know, you and John are like the
1:22:17
most interesting people to me, because you live
1:22:20
in this horrible, horrible, horribly administered state, as
1:22:25
does John.
1:22:27
And both of you.
1:22:28
It was a great state when I moved
1:22:30
here.
1:22:30
It was a lovely state when I moved
1:22:32
here.
1:22:32
I just watched it.
1:22:33
But time to leave, girl.
1:22:35
It's like time to get out.
1:22:36
And you and John both need to go
1:22:38
like to North Carolina or something.
1:22:40
Go somewhere else.
1:22:42
Enjoy, enjoy your, your twilight, enjoy your twilight
1:22:46
years with some peace.
1:22:49
Well, but you have to understand in my
1:22:51
twenties, I was a citizen lobbyist in California,
1:22:54
and I worked to get consumer protection laws
1:22:58
passed.
1:22:58
And I did, I was able to, I
1:23:00
think, make a positive influence.
1:23:02
And then of course, life got busy and
1:23:04
I did other things.
1:23:05
And when I've later went back to go
1:23:07
through all the old, you know, the laws,
1:23:08
and I found everything had been neutered on
1:23:11
riders on other bills.
1:23:12
So everything I worked for completely went away
1:23:15
because, you know, I did, I didn't make
1:23:17
it my lifetime career.
1:23:20
I am the, I'm Don Quixote.
1:23:23
I really think that I can.
1:23:25
I got you.
1:23:27
I got you, windmill.
1:23:29
I can get you.
1:23:30
No problem.
1:23:31
Wow.
1:23:31
Well, that's very American spirit of you.
1:23:34
I appreciate that.
1:23:35
I took the easy way out.
1:23:38
I just came to Texas.
1:23:40
It's pretty good here.
1:23:42
Let me switch topics because the next big
1:23:45
thing that we all have to be incredibly
1:23:47
worried about is AI, artificial intelligence, which to
1:23:51
me is just as fake as artificial flavoring.
1:23:55
I've spent the last few days while you
1:23:58
were doing clips starting Sunday, one of our
1:24:02
producers sent me an NVIDIA card and a
1:24:07
computer.
1:24:08
And I didn't quite understand his story until,
1:24:13
you know, I really, cause he very lengthy,
1:24:15
very precise and set up instructions.
1:24:17
And I was kind of getting it all
1:24:19
together for my, to run my own AI
1:24:22
system at home.
1:24:24
And the reason why he gave it up
1:24:26
is because he's giving up on the entire
1:24:29
sector.
1:24:29
He's like, you know, he's going to go
1:24:32
learn how to play an instrument.
1:24:33
He says, I think that there'll be a
1:24:34
time when people want to hear real musicians
1:24:36
again.
1:24:37
He's completely checking out because he's seen nothing,
1:24:40
but how bad it really is.
1:24:43
And as I dove into this and I've
1:24:45
already done a lot of quote unquote, vibe
1:24:48
coding with success.
1:24:50
I mean, there's, it's definitely has helped me
1:24:52
get some projects done that I wanted to
1:24:54
get not, you know, not huge products that
1:24:57
can go to go to any, into any
1:25:01
commercial venture, but things that I needed, some
1:25:04
small things that are workflow related, very helpful
1:25:08
for that $20 a month from, you know,
1:25:11
Google or Claude definitely helped me write some
1:25:16
Python scripts that I needed.
1:25:17
But I also discovered the concept of guardrails.
1:25:22
And whenever you hear this term guardrails, that's
1:25:26
the magic term in AI, because these things
1:25:30
are shit.
1:25:31
I'm just going to say it.
1:25:32
They're shit.
1:25:33
And guardrails means with every prompt that you
1:25:37
send invisible to you are going to be
1:25:40
sent 50 to a hundred, maybe hundreds of
1:25:43
rules, which are the guardrails that say, don't
1:25:46
ever do this.
1:25:47
Don't ever do that.
1:25:48
Always do this.
1:25:49
All of these things, because these large language
1:25:52
models have zero intelligence.
1:25:55
They are just guessing what you're saying and
1:25:58
what needs to come back or based upon
1:26:01
what you said, what you typed, what action
1:26:04
has to be taken, what tool needs to
1:26:06
be called.
1:26:07
And it's very hit or miss.
1:26:09
It can be perfect for days.
1:26:11
And then the next day, all of a
1:26:14
sudden it's not perfect.
1:26:16
So they don't have, they have no memory.
1:26:19
Well, no, they have what's called a context
1:26:21
window.
1:26:23
And Gemini has now a million tokens.
1:26:26
It's all about tokens.
1:26:27
How many tokens?
1:26:28
You can also write things to memory that
1:26:32
it stores in files.
1:26:33
And it will look at that to recall
1:26:36
things, which is also funny because I'll just
1:26:40
be, I'll be doing something in Gemini, which
1:26:43
has also coded something for Godcaster.
1:26:46
And it'll all of a sudden say, well,
1:26:48
this would be perfect for your Godcaster station.
1:26:51
Like what do you, so it's pulling things
1:26:53
from it.
1:26:53
It's stupid.
1:26:54
There is no intelligence, zero.
1:26:57
But the guardrails give that illusion.
1:27:01
It's still a big magic trick.
1:27:04
Can it code Python?
1:27:06
Yeah, I think everyone agrees it can code
1:27:08
and it can code some other things.
1:27:10
But what is the code really doing?
1:27:12
Is anyone really looking at it anymore?
1:27:14
Andrew Yang, who I don't, is he a
1:27:18
computer guy?
1:27:20
The name sounds familiar.
1:27:22
Yeah, he ran for office, the state of
1:27:25
New York.
1:27:26
He ran for president.
1:27:28
And he's famous for universal basic income.
1:27:33
We're going to have to have this.
1:27:34
So he goes to the big artificial intelligence
1:27:38
conference out in California, I think.
1:27:40
And he comes back to CNBC and, oh
1:27:45
man, it's over.
1:27:46
Forget about it.
1:27:47
This is happening.
1:27:48
It's the best thing ever.
1:27:50
It's amazing.
1:27:51
And this guy, like AI, is full of
1:27:54
shit.
1:27:55
I just came from an AI conference out
1:27:57
West and holy cow, they said to me
1:27:59
that what we're going to see in the
1:28:00
next six months outstrips what we've seen in
1:28:03
the last 10 years, because the rate of
1:28:04
change is on a hockey stick.
1:28:06
The rate of, notice the words, the rate
1:28:09
of change.
1:28:10
I'm not quite sure what that means, but
1:28:12
sounds exciting.
1:28:13
10 years, because the rate of change is
1:28:15
on a hockey stick and heading up.
1:28:17
And I got to say, I'm pretty up
1:28:19
to date on this stuff.
1:28:20
And it blew my mind with some of
1:28:21
the stuff I was seeing.
1:28:22
In terms of what, what did you see?
1:28:23
Well, there was one company that is selling
1:28:26
autonomous coding for enterprises to big businesses and
1:28:31
their revenue is up a hundred fold in
1:28:33
the last 12 months.
1:28:34
Their revenue was up a hundred fold.
1:28:37
That doesn't mean they're making money, but their
1:28:39
revenue was up a hundred fold.
1:28:41
So if that continues, it's going to eat
1:28:43
a lot of the tech budgets from major
1:28:44
corporates that used to go to humans.
1:28:47
And so you're seeing the employment of recent
1:28:51
computer science graduates fall off a cliff from
1:28:53
a lot of programs.
1:28:55
If you rewind, what, four years ago, what
1:28:57
would we tell young people for a secure
1:28:59
career, learn to code?
1:29:00
And now the opposite of that is true.
1:29:03
So it was more than eight years ago.
1:29:06
No, it was during Obama.
1:29:07
I think that's when learn to code came
1:29:09
up, not four years ago.
1:29:12
And, and I'm actually kind of thinking now,
1:29:14
stay the course.
1:29:16
If you learn, if you've learned to code,
1:29:18
stay the course.
1:29:19
It may not be a bad skill to
1:29:21
have considering where I think all of this
1:29:25
is going.
1:29:25
I think it's, you know, it would be
1:29:29
really great if we could train monkeys to
1:29:32
wash the dishes, which is what I see
1:29:36
AI as.
1:29:37
It doesn't mean that you don't watch them
1:29:39
like a hawk and make sure they aren't
1:29:41
just licking the plates and putting them away.
1:29:44
That's, that's a very good analogy.
1:29:47
Yes.
1:29:47
AI is like watching monkeys doing the dishes,
1:29:50
but they lick the plates and put them
1:29:52
away.
1:29:53
Precisely right.
1:29:55
Precisely right.
1:29:56
So I wouldn't trust them.
1:29:59
I don't, I think that, you know, there's,
1:30:02
there's a, nonsense hype.
1:30:04
Oh, it's the greatest thing.
1:30:05
I've heard this as long as I've been
1:30:07
around computers.
1:30:08
It used to be expert systems.
1:30:10
Oh, they're expert systems and they're going to
1:30:12
do everything you want.
1:30:14
You know?
1:30:14
Oh, you won't need, I mean, I've heard
1:30:16
this over and over and over again.
1:30:20
I okay.
1:30:21
You know, I love that.
1:30:23
I love the AI video stuff.
1:30:24
I get nothing but joy watching some of
1:30:27
those.
1:30:27
Sure.
1:30:28
Surprise, surprise.
1:30:29
A company that makes video cards makes funny
1:30:32
videos.
1:30:33
This is not foreign to me.
1:30:36
I'm actually playing these clips in the hopes
1:30:40
that my, my buddy, the oil baron hears
1:30:43
them because we have a little text group
1:30:45
with a buddy of mine, three guys.
1:30:47
One guy sells technology.
1:30:50
He's in the, in the pipeline, he sells
1:30:51
technology to companies, mainly to call centers.
1:30:55
And that's a great business because you, you
1:30:58
make the sale and then you get another
1:31:00
company to do the implementation.
1:31:02
And for as long as that customer is
1:31:03
paying, you know, the Microsoft license per employee,
1:31:07
my, my friend gets a piece of it.
1:31:09
It's a great business.
1:31:10
And so he's been selling AI solutions to
1:31:13
call centers, which I can see the appeal
1:31:18
of that, but I'm already myself feeling like,
1:31:23
wow, I'd rather buy it from that company
1:31:25
because I know that when I call that
1:31:27
company, a human being from one of the
1:31:30
50 States answers the phone.
1:31:32
And I feel again, you might want to
1:31:34
stay the course on that.
1:31:36
And just, you know, at a certain point,
1:31:38
the AI is not going to be reliable
1:31:40
enough.
1:31:41
And so he got really excited.
1:31:42
The oil baron got really excited because one
1:31:45
of his engineers in the company came to
1:31:48
him and said, look, we have a $2
1:31:50
million software budget on these two particular accounting
1:31:54
packages that are specifically for the oil sector.
1:31:57
And of course, they're sick of paying inflated
1:32:00
prices and licenses, et cetera.
1:32:03
But this engineer says, we're going to save
1:32:05
25%, $500,000 a year by implementing anthropics
1:32:11
AI.
1:32:12
And that's just the start boss.
1:32:15
And I'm thinking, oh Lord, no, please, please.
1:32:18
You know, and I sent him the study
1:32:19
from Stanford that shows that progressively these large
1:32:23
language models are getting worse in things like
1:32:25
math, you know, things that might have to
1:32:28
do with accounting.
1:32:29
So I'm praying that he hears this and
1:32:32
uses some caution.
1:32:33
Let's continue with Yang.
1:32:35
Who's just over the moon.
1:32:37
So where are you on jobs long-term?
1:32:39
Look, Dario Amadei, the CEO of Anthropic laid
1:32:42
it out very clearly.
1:32:43
And he's been doing so repeatedly saying we're
1:32:45
going to automate away up to 50%
1:32:47
of entry-level white-collar jobs in the
1:32:50
next several years.
1:32:51
And I believe him.
1:32:52
The easiest people to fire are the people
1:32:55
you haven't hired yet, which again is why
1:32:56
you see the hiring of recent college graduates
1:32:59
heading down and the underemployment rate over 50%.
1:33:04
The unemployment rate among college graduates is now
1:33:06
the same or higher than non-college graduates
1:33:08
for the first time in history.
1:33:09
How do we fix that?
1:33:11
I mean, what's you're a guy with big
1:33:13
ideas.
1:33:13
Universal basic income was one of yours.
1:33:15
All right.
1:33:15
Are you ready for the fix?
1:33:17
What possibly, how possibly could we fix if
1:33:21
no one's hiring mid-level white-collar jobs?
1:33:27
And for sure, with technological innovation, things change.
1:33:32
We don't have typewriter pools anymore.
1:33:34
There's all kinds of things that change, but
1:33:36
typically the productivity gives people more jobs and
1:33:39
different things to do.
1:33:40
But what fix do you think that the
1:33:43
UBI guy is so enamored by from the
1:33:45
CEO of Anthropic?
1:33:47
Can you even imagine how we're going to
1:33:49
fix this problem?
1:33:51
Not at all.
1:33:53
You'll be astounded.
1:33:54
How do we fix this entire issue?
1:33:56
Check it out.
1:33:57
Check it out.
1:33:58
You tend to tax things that you want
1:34:00
to discourage than you want less of.
1:34:02
And we're going to be in a position
1:34:03
where we want to shore up labor in
1:34:06
every quarter, in every organization and environment.
1:34:09
We should actually try to stop taxing labor.
1:34:13
Tax the agents instead?
1:34:15
Yes, exactly, Becky.
1:34:17
And by the way, Dario Amede in the
1:34:18
second half of his statement, he said, we're
1:34:20
going to automate away the white-collar jobs
1:34:23
and you should tax us.
1:34:25
And since when does the CEO of a
1:34:26
major company raise his hand and say, hey,
1:34:28
tax me and mine?
1:34:29
Because he sees the writing on the wall
1:34:31
and he knows that there's this massive backlash
1:34:33
coming their way.
1:34:34
Okay.
1:34:36
So the CEO of a non-profitable company
1:34:39
is saying you should tax us.
1:34:41
We're going to be so dangerous.
1:34:44
Come on.
1:34:45
Well, non-profits are the biggest.
1:34:48
I mean, he's not profitable.
1:34:50
He's not a non-profit.
1:34:52
They just can't turn to profit.
1:34:54
Oh, not profitable.
1:34:56
No, none of these companies, except for Nvidia,
1:34:59
the only ones, they're the ones selling the
1:35:01
boards.
1:35:02
They're wildly profitable.
1:35:04
Nobody else is.
1:35:05
So, oh, tax me.
1:35:08
No.
1:35:09
And according to Andrew Yang, who has seen
1:35:12
the light, we're going to have riots.
1:35:15
This is a little bit of the argument
1:35:16
made around, frankly, retail sales in the internet
1:35:19
age, if you recall.
1:35:22
The argument I would make, Andrew, is that
1:35:24
escape velocity has been achieved.
1:35:26
Oh, everybody, hold on a second.
1:35:28
Escape velocity.
1:35:30
Oh, there's a show title.
1:35:32
Escape velocity has been achieved.
1:35:34
The argument I would make, Andrew, is that
1:35:36
escape velocity has been achieved.
1:35:38
I mean, these models are now going to
1:35:40
be able to improve on their own.
1:35:42
Like, we did it.
1:35:43
We made it.
1:35:44
We did it.
1:35:44
In my view, the biggest danger is this
1:35:46
backlash that Dario is concerned about.
1:35:48
And the backlash is going to get more
1:35:50
and more pronounced as people wake up and
1:35:52
have their kids coming back from college and
1:35:56
living in the basement.
1:35:57
And the implicit social contract of the American
1:36:02
way is being fractured.
1:36:04
There is zero chance that this transition is
1:36:07
not going to be rough for millions of
1:36:10
people.
1:36:10
They're always rough, but then we get through
1:36:12
it and, you know, buggy whips, and then
1:36:14
you're making carburetors.
1:36:15
But this time, I just don't see it.
1:36:17
Rough with a capital R and an exclamation
1:36:19
point and a giant underline.
1:36:21
I mean, some numbers, but people know some
1:36:24
of this.
1:36:25
There are still over 2 million Americans who
1:36:26
work at call centers right now, and we
1:36:28
know AI is going to decimate that job.
1:36:31
The big one, and Jamie Dimon referenced this
1:36:32
just the other day, if you get to
1:36:35
truck driving, then all bets are off, because
1:36:37
this is the number one job in 28
1:36:40
states.
1:36:41
You're talking about millions of middle-aged men,
1:36:44
for the most part, 10 to 15%
1:36:46
of whom are military veterans.
1:36:47
A lot of them are gun owners.
1:36:48
Yeah.
1:36:48
So if you get to that occupation, then
1:36:52
you're going to see, in my opinion, riots
1:36:54
in the streets.
1:36:55
Yeah, that's right.
1:36:56
They're probably Republican too.
1:36:58
Yeah, probably.
1:36:59
Riots in the streets.
1:37:00
Yeah, no.
1:37:02
Okay.
1:37:03
You know, actually, I worked in a typing
1:37:05
pool.
1:37:08
That doesn't surprise me.
1:37:09
Did they make you wear a mini skirt
1:37:11
like on Mad Men?
1:37:14
Yeah, well, that's the style.
1:37:17
You know, the biggest thing I saw when
1:37:19
word processors, you know, quote, unquote, word processors
1:37:22
came to be, was that the entire market
1:37:26
for whiteout, the little jars of paint was
1:37:30
wiped out in carbon paper.
1:37:33
Tippex.
1:37:33
Wasn't that called Tippex?
1:37:34
Was that the brand name?
1:37:35
Was it whiteout?
1:37:36
Was that it?
1:37:36
It was.
1:37:37
Invented by Davy Jones' mom, I think.
1:37:42
Yes.
1:37:42
From the monkeys.
1:37:43
I don't know.
1:37:43
I don't know if I'd call it invented.
1:37:45
She figured out how to put paint in
1:37:46
a little bottle.
1:37:49
Hey, podcasting.
1:37:49
I mean, what did I really do?
1:37:53
But, you know, it's like, you know, AI,
1:37:56
what I'm afraid it's going to do is
1:37:57
they're going to, okay, let's go back.
1:38:01
Every city in the country has no bid
1:38:04
contracts where they just, they buy some software
1:38:07
and the software started out.
1:38:09
Okay.
1:38:10
The software, of course, keeps your data.
1:38:13
It doesn't allow the city to have any
1:38:14
other software hooked in.
1:38:17
And then every year that it goes up
1:38:19
and it goes up and it goes up
1:38:20
and it goes up.
1:38:21
So the sales pitch is great.
1:38:24
Oh yeah, we've got AI and it'll be
1:38:25
30% less or 20% less.
1:38:28
You know, that's a great sales pitch.
1:38:32
Is it going to work any better?
1:38:33
I doubt it.
1:38:35
What I'm afraid of is that we're going
1:38:37
to have right now, we have, we don't
1:38:40
have enough communications officers at 911 locally.
1:38:43
So they, they farmed it out.
1:38:45
So we, we hire contractors and that, yes,
1:38:48
there is an AI routing system that is
1:38:52
just the most frustrating thing in the world.
1:38:54
It does not work.
1:38:56
I've heard from other people that it's just,
1:38:58
it's the same AI thing where they just
1:39:00
don't understand what you're saying.
1:39:02
I worked in customer service for years over
1:39:04
the phone.
1:39:05
I was a call center.
1:39:06
We took lost and stolen card reports from
1:39:09
people who'd lost their credit cards.
1:39:11
They'd lost master charge cards.
1:39:13
And there's no way AI can have enough
1:39:18
understanding to understand what people say.
1:39:21
I mean, I had people call in and
1:39:22
say, I'd go, can you give me a
1:39:24
driver's license number?
1:39:25
Because we had to have ways to identify
1:39:27
that they were the real people.
1:39:28
And also if someone used their card, we
1:39:30
could, we could identify that this was a
1:39:32
fraud person, a fraud account.
1:39:34
And I had people go, well, hold on.
1:39:38
And they'd come back and they'd read me
1:39:39
their car license plate number.
1:39:43
And, you know, it's like people are, you
1:39:47
know, it's herding cats.
1:39:49
And I, and I've had some AI sales
1:39:52
systems call me and it's really fun to
1:39:54
just screw with them and just, you know,
1:39:56
grind up as much data as you can,
1:39:58
you know.
1:39:59
Oh, you rebel, you, you're a rebel.
1:40:02
What I'm afraid of is it's going to
1:40:03
go into air traffic control, that they're going
1:40:07
to have AI tools for that.
1:40:08
Yeah, not on, not on my watch.
1:40:10
It's not going to that.
1:40:11
I don't see that happening.
1:40:13
Well, but there are already a lot of,
1:40:15
a lot of air traffic control centers are
1:40:17
contracted out.
1:40:18
They aren't all run by the FAA.
1:40:20
Yeah.
1:40:21
No.
1:40:21
Okay.
1:40:22
You know, and they only have, they only
1:40:24
have one guy on, oh, this already exists.
1:40:26
I think the AI I know a lot
1:40:29
of air traffic controllers.
1:40:30
We are a big hit with the ATC.
1:40:32
This show is a big hit.
1:40:34
Yeah, but not all, but not all of,
1:40:37
especially the smaller airports have the contractors.
1:40:40
There's none.
1:40:41
There's none.
1:40:41
It's just, just the open frequency.
1:40:44
Yeah.
1:40:45
I'm going to push back on that and
1:40:47
we will have our ATC people let us
1:40:49
know what is happening.
1:40:52
I'm skeptical that that's going to happen anytime
1:40:54
soon.
1:40:55
Well, everyone's talking about moderate modernizing the system.
1:40:58
Yeah, sure.
1:40:59
They've been talking about that since Obama.
1:41:01
And the one thing AI can't do is
1:41:03
it doesn't have gut instinct.
1:41:04
Humans are the best pattern recognition devices ever
1:41:08
created.
1:41:09
And, and we get feelings about things like,
1:41:12
you know, when I'm going through a lot
1:41:14
of data, I can say, oh, there's a
1:41:16
mistake.
1:41:17
You can't, you can't make a device have
1:41:22
that kind of knowledge.
1:41:23
You are preaching to the choir.
1:41:26
I'm in complete agreement.
1:41:29
However, the answer to this is always not
1:41:32
yet, but it's coming soon.
1:41:34
Don't worry.
1:41:35
We're just in the first quarter.
1:41:37
It's all coming.
1:41:38
It's if I could only get a few
1:41:40
more megawatts of power, it's coming.
1:41:43
How long will it take Andrew Yang?
1:41:45
How far do you think this is out
1:41:46
before it hits?
1:41:47
Well, so I might've said a certain timeframe,
1:41:49
Andrew, after this AI conference, it's in the
1:41:52
next 12 months, the whole industry right now
1:41:56
is bracing for impact.
1:41:58
And they, they see it more clearly.
1:42:00
I mean, one of the things my friends
1:42:01
in Silicon Valley say is like, they're, you
1:42:04
know, this K-shaped economy that you all
1:42:05
talked about, like, like there's a kind of
1:42:07
K-shaped reaction to the AI curve where
1:42:09
some of them are not sleeping and just
1:42:11
sitting there and becoming super powered on these
1:42:13
tools and seeing what they can do.
1:42:15
And then the other people are moving to
1:42:17
the woods.
1:42:18
Literally, that's the reaction from the people closest
1:42:21
to this.
1:42:22
Okay.
1:42:23
So I, I had to go look at
1:42:25
this conference and I didn't have enough hours
1:42:29
in the day to watch every single interview,
1:42:32
every single person speak.
1:42:33
But this is, first of all, the whole
1:42:36
industry is a circle jerk.
1:42:37
It's NVIDIA is funding everybody.
1:42:40
They're, they're putting the money in.
1:42:42
And then those companies like OpenAI, ChatGPT, they
1:42:46
buy more NVIDIA cards and then ChatGPT invests
1:42:49
in other, the whole, the whole conference is
1:42:52
about companies that are, that are just doing
1:42:55
amazing things with AI and they're all startups
1:42:58
and there's no money.
1:43:00
Then there's no revenue or there's revenue, but
1:43:02
there's no profit at all.
1:43:04
Just go look at the API pricing of
1:43:07
any of these things.
1:43:09
I mean, you, you can rack up 50
1:43:11
bucks in an hour if you're not careful,
1:43:13
if you're using the application programming interface, that's
1:43:17
the real cost that they're passing on to
1:43:20
startups and other people who want to do
1:43:21
something commercial with the large language models.
1:43:24
All this 20 bucks a month is just
1:43:26
to get you interested.
1:43:27
Right.
1:43:28
And so, I'm sorry.
1:43:30
Well, the different companies are going around to
1:43:35
little towns all across America, seeing how they
1:43:38
can build a data center there, take all
1:43:40
the water and take all the power, essentially.
1:43:43
Well, yeah, it's not, not even little towns,
1:43:45
towns like Virginia, towns like, you know, in
1:43:48
Indiana.
1:43:49
I mean, this is not even small towns.
1:43:52
So.
1:43:55
It's, it's, it's this entire thing is a
1:43:58
scam, but it's not a scam that's unlike
1:44:02
microcomputers.
1:44:03
When they first came out, people said they
1:44:05
do all these things.
1:44:05
They still don't do what I want to
1:44:07
do.
1:44:07
You know, I mean, they do, I, I've
1:44:10
adjusted to the tool.
1:44:11
The tool has never adjusted to me.
1:44:14
So, you know, yeah, exactly.
1:44:18
And that, and so Sam Altman sits down,
1:44:21
Sam Altman, I had to cut out a
1:44:23
lot of white space on this guy because
1:44:25
it's so difficult when I'm such a visionary,
1:44:29
I, you know, well, and so right off
1:44:35
the bat, the guy moderating this fireside chat
1:44:40
is a board member.
1:44:42
Hello again.
1:44:43
If I keep doing this, I understand there's
1:44:46
a vacancy at 60 minutes.
1:44:49
Maybe I can, if this investing thing doesn't
1:44:51
work out, maybe I can do that.
1:44:53
Another full disclosure, Sam is a friend.
1:44:57
I'm also on the board of open AI.
1:44:59
So, um, I promise you, I will not
1:45:02
only ask him softball questions.
1:45:05
I will channel my inner breadbearer and, uh,
1:45:07
and, uh, and it's a gooper.
1:45:10
So Sam, let me start with what I
1:45:12
think is the question that is on everybody's
1:45:15
mind.
1:45:15
Oh, what is the question that is on
1:45:17
everybody's mind?
1:45:19
Mind reader.
1:45:21
What do you think?
1:45:21
What is the, what is the big question
1:45:23
that is on everybody's mind?
1:45:26
Uh, is the bar, is the bar, uh,
1:45:31
no host.
1:45:32
So Sam, let me start with what I
1:45:35
think is the question that is on everybody's
1:45:38
mind.
1:45:38
Okay.
1:45:39
Which is where are we today in the
1:45:44
world of AI?
1:45:45
Where are we?
1:45:45
I think at some point in the last
1:45:47
few months, we really have crossed a threshold
1:45:51
into major economic utility of these models.
1:45:55
It may have happened a little bit earlier,
1:45:56
but there was such an overhang before we
1:45:58
figured out how to use these.
1:45:59
And we had to not only continue to
1:46:01
make the models get smarter, but figure out
1:46:03
sort of the plumbing to make them easy
1:46:05
to use where we're, we're now in a
1:46:07
world where the models are astounding people with
1:46:12
the work they can do.
1:46:15
Yeah.
1:46:15
Videos on X.
1:46:17
And I think this has been most noticeable
1:46:19
in coding, but it's also happening in science.
1:46:22
It's happening in many fields of knowledge work,
1:46:25
sort of with disorienting speed where people are
1:46:28
saying like, man, these things that I thought
1:46:29
were still years away are happening now.
1:46:32
Notice he gives no examples.
1:46:34
It's just things and stuff.
1:46:35
And it's amazing and astounding.
1:46:37
And I have my job shifted from doing,
1:46:40
uh, you know, direct technical worker, uh, you
1:46:43
know, legal work to managing a team of
1:46:45
agents doing this work.
1:46:46
This is going to go much further.
1:46:48
Uh, I think we are at a very
1:46:49
steep part of the curve and right now,
1:46:52
maybe you can trust, say, a AI software
1:46:55
engineer to do a multi-hour task.
1:46:57
Very soon.
1:46:58
It'll be a multi-day task and then
1:46:59
a multi-week task, but you can't trust
1:47:02
it past a couple of weeks.
1:47:03
Okay.
1:47:04
After that, I think the paradigm will shift
1:47:06
again and it'll feel like these AI systems
1:47:09
are just connected to your life, to your
1:47:11
company, whatever proactively thinking, working all the time,
1:47:14
uh, and having full context on whatever they
1:47:18
need to know and just sort of doing
1:47:20
stuff like you would trust a senior employee
1:47:21
to do.
1:47:22
Oh man.
1:47:23
He's, he's going to the trust thing already.
1:47:25
It's like, oh, you can just trust them.
1:47:27
It's going to be fine.
1:47:28
Now, what, so this all startups, it's all
1:47:32
about startups.
1:47:33
And here's Altman talking about what the startups
1:47:36
really want.
1:47:37
And do you think that, um, companies have
1:47:41
a real, have a real understanding of how
1:47:43
these systems can help them and reimagine how
1:47:47
they do their businesses?
1:47:48
Some do, some don't.
1:47:50
Uh, certainly the new generation of startups thinks
1:47:52
differently than any generation of startups before.
1:47:55
It used to be that when we would
1:47:57
talk to startups, they would talk about how
1:47:59
many employees they needed.
1:48:01
Uh, now they generally don't want to hire
1:48:03
a lot.
1:48:04
They think that'll slow them down.
1:48:05
And they're all focused on how much compute
1:48:07
they can get.
1:48:07
You know, can I reserve this much capacity?
1:48:09
Can I do a cloud deal for that?
1:48:11
Can I do a cog deal?
1:48:12
Oh, what is that cost of goods?
1:48:14
How much compute can you give me, Sam?
1:48:17
I need a cog deal.
1:48:18
You know, can I reserve this much capacity?
1:48:21
Can I do a cloud deal for that?
1:48:22
Uh, can I get this many tokens?
1:48:24
And I think that is, that is a
1:48:26
mental shift that bigger companies are going through
1:48:28
more slowly, but some are starting to do
1:48:31
that.
1:48:31
Uh, one place I think you can see
1:48:35
this happening is engineering orgs and product orgs
1:48:38
talking about their doubling, tripling what they're planning
1:48:41
to ship this year.
1:48:42
And that has not happened before.
1:48:44
Yeah.
1:48:45
Unfortunately, the companies that do, I don't know,
1:48:48
oil accounting software, they don't seem to be
1:48:52
able to promise they're going to triple their
1:48:54
output of software.
1:48:55
Isn't that interesting?
1:48:57
Only, only Anthropic can deliver this.
1:49:01
You know, this sounds an awful lot like
1:49:03
the Jetsons with cogs.
1:49:06
Cogs.
1:49:06
Yes.
1:49:07
Now, now you go ahead.
1:49:10
So this is what always strikes me.
1:49:13
It's like you can have a whole bunch
1:49:15
of people who are college educated.
1:49:16
I'm not college educated by the way.
1:49:18
And John laments that all the time.
1:49:19
Me neither.
1:49:20
Right.
1:49:21
I just jumped into the world and flailed.
1:49:24
Um, what they're not doing is they're, none
1:49:28
of these things are looking at the most
1:49:30
mundane tasks.
1:49:31
Everybody's trying to do something spectacular.
1:49:35
You know, we do have way too much
1:49:37
data out there.
1:49:38
I mean, I can't read all of the
1:49:40
legislative bills that come through my state, much
1:49:44
less all the States or the United States.
1:49:49
That's the kind of mundane thing I'd like.
1:49:51
I just like to have a good quick
1:49:53
summary of how many States are doing this
1:49:56
and that.
1:49:56
So I can see better trends.
1:49:57
Well, it can actually, I think the large
1:50:00
language models are reasonably good at condensing a
1:50:03
document.
1:50:04
I, I think that's, that's, that's kind of
1:50:06
here.
1:50:07
So, so we need, but that's not a
1:50:11
trillion dollar product that's helping Mimi, you know?
1:50:16
Exactly.
1:50:17
Well, it's helping not just Mimi, but every,
1:50:19
everybody who's interested in this across the country,
1:50:22
maybe 50 of us, um, everything that, what
1:50:25
they're trying to do is they're trying to
1:50:27
swing for the fences and make a big
1:50:30
home run and make a big deal because
1:50:32
these kids don't have enough experience in the
1:50:35
world and it's all ego driven.
1:50:37
And all I'm hearing is sales pitch.
1:50:39
And I know that the big thing that
1:50:40
always happened when I worked in any industry,
1:50:43
the salesmen sold oversold what the engineers could
1:50:47
actually deliver.
1:50:48
I'd like to hear from the engineers here.
1:50:50
I'd like to hear that from the people
1:50:51
who are actually working on the products, rolling
1:50:54
their eyes when they hear this vaporware that
1:50:56
everyone's coming up with.
1:50:57
Well, the big thing, and this is, this
1:50:59
is kind of the, the, the nucleus of
1:51:02
the, of these four clips, I have two
1:51:04
more, is AGI.
1:51:07
This is the thing that we were promised,
1:51:10
I think five years ago, uh, artificial general
1:51:15
intelligence.
1:51:16
Then we kind of made a, that term
1:51:19
shifted to AGI was artificial generative intelligence when
1:51:24
it was only really making videos and songs.
1:51:28
And now AGI is back.
1:51:31
And, and so our shill board member here
1:51:33
is going to ask this very important question.
1:51:36
How soon until we get to AGI and,
1:51:40
and what would you think AGI, what is
1:51:42
your understanding of this acronym AGI?
1:51:48
Um, it's, you know, it's corporate Silicon Valley
1:51:54
speak.
1:51:55
It does.
1:51:55
Come on.
1:51:57
Tell me what you think.
1:51:58
General artificial general intelligence.
1:52:01
What will that really be?
1:52:03
I can't find general intelligence anywhere.
1:52:06
Uh, for the most part.
1:52:07
I mean, it's like, I don't know.
1:52:09
Um, I have no idea and it just
1:52:12
makes me itch.
1:52:13
Okay.
1:52:13
Well, I'm glad it makes you itch.
1:52:16
Let's listen to the question and Sam's answer.
1:52:18
And, uh, you'd be quite vocal in saying
1:52:22
that, um, artificial general intelligence will come sooner
1:52:25
rather than later.
1:52:26
I want to share your views on how
1:52:29
close we are and how soon it will
1:52:30
come.
1:52:32
At this point, I think the definition of
1:52:35
AGI really matters.
1:52:37
This is what we call moving the goalposts.
1:52:42
Yes.
1:52:42
So we need, Oh no, we need to
1:52:44
change the definition of what AGI is again.
1:52:47
At this point, I think the definition of
1:52:50
AGI really matters.
1:52:52
Some people would say we already got there.
1:52:54
Some people say it's very close.
1:52:55
Some people say we're kind of, you know,
1:52:57
it's maybe still a year away, but in
1:52:59
any case, that word has ceased to have
1:53:03
much meaning.
1:53:03
Uh, there are maybe two thresholds that we
1:53:07
could talk about that are interesting.
1:53:09
Number one, when is there going to be
1:53:11
more of the world's cognitive capacity inside of
1:53:14
data centers than outside of them?
1:53:16
And that to me feels like maybe it
1:53:20
could happen.
1:53:21
Huge error bars.
1:53:21
I could be totally wrong, but maybe, Oh,
1:53:23
Mimi, huge error bars.
1:53:26
What are error bars?
1:53:28
What is that?
1:53:29
I don't know.
1:53:29
It sounds like a good place to go
1:53:31
drink.
1:53:33
Exactly.
1:53:35
To me feels like maybe it could happen.
1:53:37
Huge error bars.
1:53:38
I could be totally wrong, but maybe that
1:53:39
could happen by like late 2028.
1:53:42
And that's an extraordinary shift in the world.
1:53:47
The other one is when can a CEO
1:53:52
of a major company, a president of a
1:53:54
major country, a Nobel prize winning scientist, when
1:53:58
can they not do their job without making
1:54:00
heavy use of AI?
1:54:01
Okay.
1:54:02
So no answer.
1:54:04
Shifting the goalposts.
1:54:06
I really don't know.
1:54:08
Sooner than later.
1:54:09
Now my final clip.
1:54:12
And he even, this is the business model,
1:54:15
the business model of AI from Sam Altman,
1:54:18
the man who is credited with pioneering the
1:54:21
industry.
1:54:22
And he even says in this clip that
1:54:25
the business model has failed in history.
1:54:30
This is not AI, but this is astounding
1:54:33
when I hear this.
1:54:34
Open AI does a lot of things that
1:54:36
look weird.
1:54:38
We spend a ton of money on infrastructure
1:54:41
in advance of revenue.
1:54:43
We do new business models like ads that
1:54:46
seem like, maybe not the most profitable thing
1:54:49
we could do.
1:54:51
A long list of other things, but we
1:54:53
have this fundamental belief in abundance of intelligence.
1:54:57
And that one of the most important things
1:54:58
in the future is that we make intelligence,
1:55:02
you know, to borrow an old phrase from
1:55:04
the energy industry that didn't quite work too
1:55:06
cheap to meter.
1:55:06
We want to flood the world with intelligence.
1:55:08
We want people to just use it.
1:55:09
So he's literally saying they want it to
1:55:12
be like the energy sector.
1:55:13
And as the energy sector said, it'll be
1:55:16
too cheap to meter.
1:55:18
And he's saying that that failed.
1:55:19
And for some reason, this is direct energy.
1:55:24
He's burning energy and somehow this is going
1:55:28
to work.
1:55:29
It's astounding.
1:55:30
This answer is that we make intelligence, you
1:55:34
know, to borrow an old phrase from the
1:55:36
energy industry that didn't quite work too cheap
1:55:38
to meter.
1:55:38
We want to flood the world with intelligence.
1:55:40
We want people to just use it for
1:55:41
everything.
1:55:41
We want this to just be something that
1:55:43
the future generation doesn't think about.
1:55:45
They expect everywhere.
1:55:47
And everybody has access to like geniuses as
1:55:51
many as they need in any area that
1:55:53
they need.
1:55:54
And this principle, which is one of our
1:55:56
kind of like top guiding principles, does lead
1:55:59
to a lot of behavior that would look
1:56:01
less natural for other companies.
1:56:03
And one of those is we really want
1:56:06
to get out of this world that we
1:56:07
have been in, that we still think we're
1:56:09
on a stretch to stay on without changing
1:56:10
what we do, of always being capacity constrained.
1:56:14
Fundamentally, our business, and I think the business
1:56:16
of every other model provider, is going to
1:56:19
look like selling tokens.
1:56:22
You know, they may come from bigger or
1:56:24
smaller models, which makes them more or less
1:56:26
expensive.
1:56:27
They may use more or less reasoning, which
1:56:29
also makes them more or less expensive.
1:56:31
They may be running all the time in
1:56:32
the background trying to help you out.
1:56:34
They may run only when you need them
1:56:36
if you want to pay less.
1:56:36
We see a future where intelligence is a
1:56:41
utility, like electricity or water, and people buy
1:56:46
it from us on a meter and use
1:56:49
it for whatever they want to use it
1:56:50
for.
1:56:51
Tokens!
1:56:52
We're selling tokens for the bumper cars!
1:56:55
Tokens!
1:56:56
Okay, my experience, I know how to look
1:57:01
things up.
1:57:01
I know how to dig stuff out of
1:57:02
the web.
1:57:03
I know how to, you know, find things.
1:57:07
And I have to teach other people, both
1:57:09
my age and way younger, how to Google
1:57:13
search, how to other search, how to find,
1:57:18
you know, information from cities and counties and
1:57:22
states and the federal government.
1:57:25
Everything's there.
1:57:26
You just have to know where to look
1:57:27
and you have to have the patience and
1:57:29
the time.
1:57:29
I mean, I have read every single city
1:57:31
council meeting minutes going back to when this
1:57:35
town was started.
1:57:38
It's not exciting, but it gives me a
1:57:40
lot of intelligence and it gives me a
1:57:43
lot of history and it gives me a
1:57:45
lot of, I can see how things have
1:57:47
happened.
1:57:48
I'm one in a billion.
1:57:50
Most people don't even know how to look
1:57:53
up.
1:57:54
I mean, if it's not on TikTok or
1:57:55
if it's not on Facebook, that's it.
1:57:59
So how is this product that he's trying
1:58:02
to describe going to create intelligence in people
1:58:05
who've lost their ability to have creativity and
1:58:08
curiosity?
1:58:11
Well, how come you were not invited to
1:58:13
this conference to provide a counterpoint?
1:58:16
I'm so surprised.
1:58:18
You're on the west coast.
1:58:19
You could have popped right over.
1:58:22
Yeah, and I'd be wondering the whole time
1:58:25
about the error bar, if it was host
1:58:27
or no host.
1:58:28
Let's thank some people, Mimi, who have once
1:58:32
again supported us very kindly to help with
1:58:35
the Medicare donut hole.
1:58:38
And we will need to eventually have a
1:58:40
number because we just, I'm extremely curious what
1:58:43
this is going to cost.
1:58:45
The bills haven't started showing up yet.
1:58:47
You know, we'll be getting bills for the
1:58:48
next, you know, years, years, years.
1:58:52
So the no agenda show for now in
1:58:56
its 18th year with a podcaster down has
1:59:00
been running on the value for value model.
1:59:03
And that means you can support us with
1:59:05
time, talent or with treasure.
1:59:08
And it's a very simple concept.
1:59:10
You know, you don't have to buy tokens.
1:59:12
You know, you're not going to get much
1:59:13
selling any tokens here.
1:59:15
No, all you do is you listen to
1:59:16
the show.
1:59:17
And if you think you got some value
1:59:18
out of it, then you say, you know,
1:59:20
I'll send something back to those guys.
1:59:21
It is that simple.
1:59:23
And the time and talent portion is done
1:59:27
in many ways.
1:59:27
We have three end of show mixes, which
1:59:30
are all original productions.
1:59:32
No AI slop.
1:59:33
Very proud to be able to say that
1:59:34
it's not always the case.
1:59:36
So good to see people coming back.
1:59:39
And it feels better.
1:59:40
It just feels better.
1:59:43
Can't MVP.
1:59:44
I'm sorry, man.
1:59:45
But you know, when I get real end
1:59:47
of show mixes, they're always going to have
1:59:49
some kind of priority.
1:59:51
artwork is another way that people can support
1:59:54
the show by using your favorite AI model.
1:59:57
It's still very valid for this.
1:59:59
And it's still cheap.
2:00:00
You're not spending a lot of tokens on
2:00:03
creating artwork.
2:00:03
And we thank Nestworks, who I'm pretty sure
2:00:06
this was a hybrid.
2:00:08
He emailed me.
2:00:09
He still does a lot of Photoshop work,
2:00:11
as well as using some AI to combine
2:00:15
those two.
2:00:16
So he uses it as a tool as
2:00:18
an artist would.
2:00:19
And it paid off the art that we
2:00:23
had for episode 1849 was titled hose water.
2:00:28
And hose water.
2:00:30
Yes.
2:00:30
Actually, I forgot to look at the trolls.
2:00:33
We have 1275 trolls.
2:00:35
Yeah, the audience is dwindling Mimi, but they're
2:00:39
still hanging in there.
2:00:40
They're still hanging in there, hanging in there.
2:00:41
Like, John's not there.
2:00:45
This was this was a sexy nurse with
2:00:50
a get well heart for John and I'm
2:00:53
here to see John.
2:00:53
I thought it was an appropriate piece.
2:00:55
I liked it.
2:00:55
It was good.
2:00:59
Now you and I didn't choose together.
2:01:01
Yeah.
2:01:02
Because I really want to just let you
2:01:04
off the hook.
2:01:05
I'm amazed you it was like three and
2:01:07
a half hours we did on the last
2:01:08
show with a lot of donations to read,
2:01:10
but it was great.
2:01:11
It was still quite long.
2:01:12
So when John comes back, then we'll get
2:01:15
back to grousing about artwork.
2:01:16
But thank you, Nestworks.
2:01:17
We appreciate it.
2:01:18
Well done, sir.
2:01:19
And you can go to no agenda art
2:01:21
generator dot com and throw your hat into
2:01:23
the ring and try and come up with
2:01:25
some artwork.
2:01:25
The sexy nurses, I think we may have
2:01:27
done that one now.
2:01:28
So see if we can come up with
2:01:30
something different now for our executive and associate
2:01:33
executive producers.
2:01:34
Part of the value for value model.
2:01:35
We thank everybody who supports the show.
2:01:37
Fifty dollars and above.
2:01:38
If you are fortunate enough to be able
2:01:40
to support us with two hundred dollars or
2:01:41
above, not only will we read your note
2:01:43
if it's not too crazy long and sometimes
2:01:46
even if it is because we consider that
2:01:48
to be show content.
2:01:49
You also receive an associate executive producership, which
2:01:53
is good as gold in Hollywood.
2:01:55
One day you might even be blown up
2:01:57
at the Oscars.
2:01:58
You can put on the IMDB dot com
2:01:59
and be right up there with Dana Brunetti
2:02:01
or three hundred dollars above and you become
2:02:04
an executive producer.
2:02:05
And we kick it off with our top
2:02:07
donor, our supporter today with one thousand dollars,
2:02:11
Sir Salah Houser, who also supported us on
2:02:13
the last show.
2:02:14
He comes in with one thousand dollars.
2:02:16
I do not see a note from him,
2:02:18
so I don't either.
2:02:20
So I will give him a double up
2:02:22
karma.
2:02:23
You've got karma.
2:02:30
And the next one is Jason Calacanis, who
2:02:32
I have never been able to meet.
2:02:34
J.
2:02:34
Cal, J.
2:02:35
Cal.
2:02:36
Yeah, J.
2:02:37
Cal from the all all things in the
2:02:39
all in podcast.
2:02:41
Austin, Texas, eight hundred and eighty eight dollars
2:02:44
and eighty eight cents.
2:02:45
Thank you very much, Jason.
2:02:46
Jason is I mean, he's he's supported the
2:02:49
show throughout the history of it.
2:02:51
And he's he's he's generally a nice guy.
2:02:55
You know, there's so much to make fun
2:02:56
of him, but he is a nice guy
2:03:00
and it's appreciated.
2:03:02
And I know that he misses John.
2:03:03
Hence the give John a reason to live
2:03:06
donation of eight hundred and eighty eight dollars
2:03:08
and eighty eight cents.
2:03:10
We all miss John doing this.
2:03:11
Believe me, we do.
2:03:12
Up next, Elizabeth Prefontaine, and she says and
2:03:19
she comes in with six hundred and thirty
2:03:20
nine dollars.
2:03:21
I shed a tear when I heard the
2:03:23
news.
2:03:24
May this donation from oh, it's Canadian dollars.
2:03:26
Oh, so it's probably a thousand Canadian.
2:03:30
Probably.
2:03:30
Yeah, I think it is.
2:03:32
Actually, it looks like it's blue.
2:03:33
So, yeah, made this donation from Canadian help
2:03:36
with John's hospital bill.
2:03:38
I can now join the roundtable and I
2:03:40
want to be known as Dame Elizabeth of
2:03:42
the North, one of the best financial analysts
2:03:45
out there.
2:03:46
And you will be damed as well as
2:03:48
we'll do title changes today.
2:03:50
Dames and nightings will be done when John
2:03:52
is back so that nobody feels shortchanged.
2:03:54
No offense, Mimi, but, you know, we are
2:03:56
the official holders of the sword.
2:03:58
I don't I don't have a sword.
2:04:01
Hence why I'm called the wife.
2:04:03
Yes.
2:04:04
No sword for you.
2:04:06
The next is Highland Craigs from Colorado Springs,
2:04:09
Colorado.
2:04:10
Four hundred eighty five dollars.
2:04:12
And it says thank you both.
2:04:13
We're praying for J.C.D. Love the
2:04:15
Highland Craigs.
2:04:16
Very nice.
2:04:17
Came in Mike Hutchins in Ennersberg Falls, Vermont.
2:04:21
Four hundred.
2:04:22
And they say here's a donation of four
2:04:24
hundred to the best podcast in the universe.
2:04:25
This puts us over the threshold of knighthood,
2:04:28
which I will say for a future donation.
2:04:30
All the best to Dvorak and his recovery
2:04:31
listeners since episode 18.
2:04:35
And please visit hole in one computers dot
2:04:38
com and hole in one computers.
2:04:40
We offer remote computer support as well as
2:04:43
professional quality media digitization at low prices.
2:04:46
No A.I. here.
2:04:47
We can convert all of your videotapes, films,
2:04:49
slides and photos at whole w w w
2:04:52
dot hole in one computers dot com.
2:04:55
Free, secure return shipping on orders over three
2:04:57
hundred dollars.
2:04:58
Please visit and contact us for a quote.
2:05:00
I have a feeling that you might even
2:05:01
get Kim or Mike Hutchins on the phone
2:05:04
if you call them.
2:05:05
Very nice.
2:05:06
Thank you, Kim and Mike.
2:05:07
And the next one is Jacob Schultz.
2:05:11
Why am I not seeing an amount?
2:05:14
There we go.
2:05:15
I made a donation of three hundred and
2:05:17
thirty three dollars and eighty eight cents to
2:05:19
secure an executive producer credit for the show
2:05:21
for my mom's birthday on three eleven twenty
2:05:24
twenty six.
2:05:26
Please add her to the birthday list.
2:05:28
We both listen to the show and enjoy
2:05:29
talking about it.
2:05:31
Jingles, if possible, health, karma and Scott Simon,
2:05:34
if it wasn't already played, which it may
2:05:36
never be, if I'm on the show.
2:05:39
Thanks and give our best wishes to John
2:05:41
and his recovery.
2:05:42
Jacob Schultz.
2:05:43
Suffer and succotash.
2:05:44
I'm Scott Simon.
2:05:50
You've got karma.
2:05:51
No, I got to play some Scott Simon.
2:05:55
Peter Fantino is in Jasper, Tennessee.
2:05:58
Three hundred and thirty three dollars and eighty
2:05:59
eight cents.
2:06:00
No notes.
2:06:01
So a double up karma for him.
2:06:02
You've got karma.
2:06:08
OK, Sandra Walker from Rosewell, Roswell, Georgia.
2:06:13
Three hundred and thirty three and eighty eight
2:06:14
cents.
2:06:15
Dear Adam and John and Mimi.
2:06:17
John, we miss you.
2:06:19
Get well soon.
2:06:19
This donation brings me to Dame Hood Accounting
2:06:22
Below.
2:06:23
Please call me Dame CC Mom.
2:06:25
I would like kombucha and grass fed steak
2:06:27
from case and see cattle at the roundtable
2:06:30
calling all homeschool families in North Georgia or
2:06:34
families that are fed up with government indoctrination
2:06:37
camps.
2:06:38
Have you heard about classical conversations?
2:06:40
They offer a federated, decentralized, Christ centered approach
2:06:45
to homeschooling.
2:06:46
It's based on the classic education model where
2:06:49
we teach our kids the skills to become
2:06:51
lifelong learners and redeem our own education in
2:06:55
the process.
2:06:55
Let me interrupt you for a second.
2:06:57
You homeschooled your kids, didn't you?
2:07:00
One of them.
2:07:02
Which one?
2:07:02
Jay?
2:07:03
Yeah.
2:07:04
She turned out just fine.
2:07:05
She needs to get a raise, Tina said.
2:07:08
Just throw it.
2:07:09
I already did.
2:07:11
I already did.
2:07:13
Are you familiar with the classical education model?
2:07:16
Do you know what that is?
2:07:17
What that means?
2:07:19
Uh, well, this is actually fairly new compared
2:07:22
to what we did, but we we did
2:07:24
base it on reading, writing arithmetic.
2:07:30
You know, homeschooling was very rewarding for me.
2:07:32
I finally learned a lot of things I
2:07:34
never knew before.
2:07:36
Bingo.
2:07:37
There you go.
2:07:37
It's good for kids and for mom.
2:07:39
Right.
2:07:40
So Sandra goes on and she says we
2:07:44
read real books, including the classics, and we
2:07:47
teach handwriting.
2:07:48
Nice.
2:07:49
There are classical, classical conversations, aka a CC
2:07:53
communities all over the world.
2:07:55
The families in each community give their own
2:07:57
special flair.
2:07:58
My family has been part of the CC
2:07:59
community in Roswell, Georgia for over 10 years.
2:08:02
Not all the families at the Roswell community
2:08:04
listen to no agenda, but the topics you
2:08:07
cover come up on a regular, uh, regularly
2:08:09
in class.
2:08:10
We also have a few crackpots in our
2:08:12
group.
2:08:12
Our particular community does not allow screens in
2:08:15
the classroom.
2:08:16
Most of our students, even teens don't have
2:08:18
phones and get this.
2:08:20
We have sock hops plus other, other screen
2:08:23
free social gatherings.
2:08:25
CC of Roswell is enrolling now for the
2:08:27
next school year.
2:08:28
We're praying hard for more girls to join
2:08:30
our middle and high school levels.
2:08:31
Oh, I'll bet you are.
2:08:33
If you are near Roswell, Georgia, come check
2:08:35
us out.
2:08:36
We meet once a week on Thursdays.
2:08:38
Email is Sandra homemaker at gmail.com or
2:08:42
for more info, go to www classic conversation,
2:08:46
classical conversations.
2:08:48
So it's classical conversations.com to find a
2:08:51
community near you.
2:08:52
Oh, lovely.
2:08:54
I like that.
2:08:55
So what do you think it's hard?
2:08:56
It's hard to get girls in the, into
2:08:58
these, uh, no, but what happens when you
2:09:00
start getting, I mean, when they're little, it
2:09:02
doesn't matter so much, but as you start
2:09:03
getting older kids, the boys, you know, are,
2:09:07
are drawn to where the girls are.
2:09:09
So having events with girls, big deal, sock
2:09:12
hops are better when girls are involved.
2:09:15
No kidding.
2:09:16
Yeah.
2:09:16
Yeah, absolutely.
2:09:17
Baronet surplus is in food and dial in
2:09:21
the Netherlands.
2:09:21
He says in the morning, Mimi, John and
2:09:24
Adam, I'm at the end now.
2:09:25
I've been kicked to the end.
2:09:26
I was truly shocked to hear that heart
2:09:28
attacks are going on around.
2:09:29
Oh, I was really shocked.
2:09:31
I tell you to hear that heart attacks
2:09:33
are going on around here.
2:09:34
Got to read it right.
2:09:35
Well, I hope to soon hear John moaned
2:09:37
about his experience.
2:09:38
I must admit, Mimi confirms that behind a
2:09:40
great man, there truly is a gate, a
2:09:42
great woman.
2:09:43
I mean, wow.
2:09:45
This donation finally makes me a Baron.
2:09:47
So I request a title change from Baronet
2:09:49
surplus to Baron Illuminati.
2:09:52
Thank you for your courage and warm regards
2:09:54
from the lost hell hole called the Netherlands.
2:09:58
Corey Bay's in it.
2:10:01
Maybe Pittsfield, Massachusetts, $333 and 33 cents.
2:10:06
Um, which, and then my mother's will do
2:10:09
the other one.
2:10:09
The next 333 and 33 is Aldi approved
2:10:13
Nick in Moochin, which D George Deutschland, Deutschland.
2:10:19
Yes.
2:10:20
I think it's not all.
2:10:22
All D is the, is where you get
2:10:23
your groceries.
2:10:25
Oh, okay.
2:10:26
Yes.
2:10:27
Adi is in, in, uh, in Moonshine.
2:10:29
I'll give them both a double up karma.
2:10:31
You've got karma.
2:10:36
Yale, Reinstein in Victoria Harbor, Ontario, Canada, three
2:10:41
3333 long time boner first time donor.
2:10:44
I mean, you've been D douche listener for
2:10:48
years on and off.
2:10:50
John was the great uncle.
2:10:51
I didn't have prayers for John.
2:10:55
Okay.
2:10:56
Um, I'm not sure what to do with
2:10:57
this one.
2:10:57
We'll try it.
2:10:58
Sir.
2:10:59
Wirt from New York, $330 and 33 cents.
2:11:04
See attached note.
2:11:06
I don't know what that means.
2:11:07
Oh, you don't have the notes.
2:11:08
I don't have that note.
2:11:10
Okay.
2:11:10
Hold on.
2:11:10
I have the notes.
2:11:11
I have the notes here.
2:11:13
Um, uh, to John, God bless you and
2:11:18
get well soon.
2:11:19
May the karma of the show all come
2:11:21
to you.
2:11:23
Uh, Wirt and Julian.
2:11:26
I'm not quite sure.
2:11:27
Uh, sir.
2:11:28
Dirt is his official night name.
2:11:30
Thank you very much.
2:11:32
Lane Lomero in Gilbert, Arizona, three 33, no
2:11:36
note, uh, karma for you.
2:11:37
You've got karma.
2:11:43
And we have Craig in LaGrange, North Carolina,
2:11:47
$319.
2:11:49
Uh, Craig in North Carolina.
2:11:50
This is $319 donation represents my prediction of
2:11:55
19 March for when John will make his
2:11:57
first appearance on the show after his recovery.
2:12:00
Uh, Kelsey bet.
2:12:01
Kelsey bet.
2:12:02
There we go.
2:12:03
Kelsey bet.
2:12:03
Okay.
2:12:04
If you would like to use this prediction
2:12:07
idea as a donation strategy to help you
2:12:09
with you, with you and John, you're welcome
2:12:12
to thanks for all you do.
2:12:13
And I wish him a speedy recovery, prayer,
2:12:15
karma, please.
2:12:19
Prayers.
2:12:24
Dame Beth is next $288 and 88 cents.
2:12:27
Associate executive producer.
2:12:28
She's from Tucson, Arizona, and she says, nice
2:12:31
job, Mimi.
2:12:32
Counting on you to bust JCD out of
2:12:34
the big house soon.
2:12:35
When is he swinging the big blade again?
2:12:38
I'll be the, or when he is swinging
2:12:39
the big blade again, I'll be the vice
2:12:41
countess of Baja, Arizona.
2:12:43
Until then, thank you for your courage and
2:12:45
jailbreak karma for John from Dame Beth.
2:12:49
You got it.
2:12:51
Karma.
2:12:54
I'm stepping on stuff.
2:12:55
It's okay.
2:12:56
Joe Cameron, Plymouth, Michigan, $250.
2:13:02
I don't.
2:13:03
Okay.
2:13:04
So I know that Joe, uh, he produces,
2:13:06
um, an airline blog called N O N
2:13:11
L R E A, which is airline spelled
2:13:14
backwards.
2:13:15
And it's horrible for me to have to
2:13:18
remember it to go to his website.
2:13:20
Cause the only thing I can only write
2:13:22
it in reverse is difficult.
2:13:25
N L R E A.
2:13:26
And he wishes John a quick recovery.
2:13:29
I know, but Joe, Joe has a lot
2:13:31
of aviation stuff and I'm sure I'll go
2:13:33
to it.
2:13:34
Yeah.
2:13:34
Oh yeah.
2:13:35
He he's got, he's got all that stuff.
2:13:37
Yeah.
2:13:37
If you like captain Steve, you'll love Joe.
2:13:40
You'll love Joe.
2:13:41
I'm sure I will.
2:13:43
Uh, are you doing the next one?
2:13:44
Yeah, sure.
2:13:44
Dame Isabel Pearson, Manchester in the UK, 250,
2:13:48
a donation aimed to celebrate the Dvorak's and
2:13:51
spur JCD to recovery.
2:13:52
Turns out you are both a couple of
2:13:54
treasures.
2:13:55
This is Dame Isabel Pearson, current title, first
2:13:58
female listener of no agenda requesting title upgrade
2:14:02
to Baroness of Gers.
2:14:06
How do you pronounce that?
2:14:08
Southwest France.
2:14:09
Gers.
2:14:10
Uh, where Mimi's too many eggs book is
2:14:13
a cornerstone of our farm to table kitchen
2:14:15
recipes.
2:14:16
Wow.
2:14:17
No, we, we actually have a French version
2:14:19
of the book.
2:14:20
I just haven't gotten it published yet.
2:14:22
Really?
2:14:22
Did you do that with chat GPT?
2:14:24
No, I did it with a translator who
2:14:27
owed me a favor.
2:14:28
Wow.
2:14:28
Big favor, clearly requesting the title upgrade.
2:14:32
Um, if you can ever persuade John to
2:14:34
travel, it would be my pleasure to welcome
2:14:36
you to pure guard dares.
2:14:38
And that would be in, uh, in Gers
2:14:41
bear Baroness Isabel Pearson.
2:14:44
Thank you very much, Baroness.
2:14:45
That's wonderful.
2:14:46
Tyler sink, Benton, Illinois, $236 and 91 cents.
2:14:53
And no note.
2:14:54
So double up karma.
2:14:56
You've got karma.
2:15:00
Now you'll notice maybe the, uh, as we
2:15:03
get lower in the amounts, the longer the
2:15:04
notes get to me, it's an amazing thing.
2:15:06
Yes, it happens.
2:15:07
Colin fan and parts are known to 33
2:15:09
33 in the morning.
2:15:10
I had a proud dad moment after my
2:15:12
first donation.
2:15:13
My five-year-old happened to be listening
2:15:14
to the podcast when my business fan and
2:15:17
fitness was mentioned.
2:15:18
She lit up immediately and said, dad, that's
2:15:21
you for her hearing her dad's name on
2:15:23
a podcast was a big deal.
2:15:25
And honestly, a pretty strong incentive for me
2:15:27
to donate again.
2:15:28
And for all you sandbaggers and douchebags out
2:15:31
there donate for the kids.
2:15:33
But then I heard my beloved podcaster get
2:15:36
called weak wristed and we can't have that.
2:15:39
Oh, this is long, long backstory on that.
2:15:43
Mr. Curry.
2:15:44
It just so happens that grip strength is
2:15:46
one of my many specialties.
2:15:47
My only question is when does day one
2:15:50
begin for you to earn your new nightly
2:15:53
title, sir, Adam breaker of hands.
2:15:56
Yeah, this is Colin.
2:15:58
And I did the intake form.
2:16:00
He's a personal fitness trainer.
2:16:02
And I haven't gotten around to getting started.
2:16:05
He offered me free fitness training.
2:16:08
So Colin, thank you.
2:16:09
You're right.
2:16:10
And just spitballing goes on Linda Lou.
2:16:13
What if you didn't just sell your clients
2:16:15
resumes that get results, but also gave them
2:16:17
a handshake that gets them a better start
2:16:19
a better starting compensation package, because we can
2:16:22
shakes get light paychecks for a handshake that
2:16:25
gets you paid.
2:16:26
Visit no agenda dot fit.
2:16:28
He's got it set up now.
2:16:30
And for any and all your fitness and
2:16:32
nutrition needs think of fan and fitness as
2:16:35
your online solution.
2:16:36
Visit fan and fitness.com to book a
2:16:38
free consult or reach me directly at info
2:16:41
at fan and f a n n o
2:16:43
n fitness.com and to Kamala jingles followed
2:16:46
by the horn.
2:16:49
I don't know.
2:16:50
I don't know what Kamala jingles we have.
2:16:52
I can kind of hold on a second.
2:16:53
I got a comma.
2:16:55
If you play the same one twice, no
2:16:57
one will know.
2:16:59
And it'll sound just like there's an interesting
2:17:04
let me see.
2:17:06
How about freedom?
2:17:09
That's all that's a fan favorite freedom.
2:17:12
And what's the other thing you wanted?
2:17:14
He wanted to Oh, foamer.
2:17:16
That's what that's what he means by the
2:17:17
horn thing.
2:17:18
Okay, hold on.
2:17:20
Sorry, just taking a moment here.
2:17:24
Where's my former people?
2:17:28
former There we go.
2:17:30
Finally.
2:17:36
Man, of course, I screwed up the freedom
2:17:39
jingle.
2:17:42
Here we go.
2:17:46
Finally, thank goodness.
2:17:48
All right.
2:17:49
Got it.
2:17:51
Then we have lavender.
2:17:55
I'll do that one to let you read
2:17:57
the next one.
2:17:58
Yes, sure.
2:17:58
lavender blossoms in Northfield, Michigan.
2:18:02
$222 and 72 cents.
2:18:04
And I love their products.
2:18:05
Yes, I absolutely do.
2:18:07
Yeah, sir.
2:18:07
Cal from lavender blossoms.org.
2:18:10
A fabulous product.
2:18:11
Indeed.
2:18:11
Thank you.
2:18:13
Yeah, this stuff's great.
2:18:15
Zach Metzinger, Southlake, Texas.
2:18:17
So all the rich people live $208 and
2:18:20
88 cents listening to Mimi's analogy between old
2:18:22
world shoemakers lamenting the industrialization of their livelihood
2:18:26
and the rise of vibe coding.
2:18:28
I feel she's missing one important fact.
2:18:30
While industrialization created equivalent or better products cheaply
2:18:33
and faster AI coding tools create 80%
2:18:37
solutions which are a nightmare to understand because
2:18:39
they weren't created by a human mind.
2:18:41
Imagine if the steam powered shoe machine were
2:18:44
instead of being carefully designed by engineers to
2:18:47
mechanically duplicate the fine art of shoemaking.
2:18:50
Just one of millions of Rube Goldberg s
2:18:52
contraptions built by a million monkeys selected only
2:18:56
because it produced something close to the desired
2:18:58
product.
2:18:59
This is why AI slop exists.
2:19:01
There is no intelligence in AI.
2:19:03
In fact, there might be too much intelligence
2:19:05
and too little common sense.
2:19:07
AI simply allows people who shouldn't be designing
2:19:10
systems to create incomprehensible one off products.
2:19:14
Get well soon, john.
2:19:16
Yeah, I think I think we agree with
2:19:17
you on that one.
2:19:18
Absolutely we do.
2:19:21
Elijah Hines receipt of California $208 and 88
2:19:24
cents in the morning john and Adam and
2:19:27
Mimi.
2:19:28
After my sister in law, the weird poet
2:19:31
told me if you're ever going to donate
2:19:33
and not be a douchebag.
2:19:36
Now is the time to do it.
2:19:37
I knew that I could no longer bear
2:19:39
the shame of being a douchebag and had
2:19:41
to donate.
2:19:42
Please read do de douche me and give
2:19:45
john an extra dose of health karma.
2:19:48
Thanks for all you do Elijah.
2:19:51
You've been de douched.
2:19:55
You've got karma.
2:19:58
And coming in with 20888 from Bensonville, Illinois,
2:20:02
moving off his typical date in the amount
2:20:05
with the 8.88. It is Eli the
2:20:07
coffee guy missing john behind the mic this
2:20:10
week and wishing him a speedy recovery.
2:20:12
Happy to say the show was still as
2:20:13
good as ever.
2:20:14
Mimi did a fantastic job sitting in I
2:20:16
love the fresh perspective.
2:20:18
And she has as many good stories as
2:20:20
john Yes, and previous vocation.
2:20:22
I actually have more.
2:20:23
Oh, gloves are off to john.
2:20:26
We love you.
2:20:27
But like I say about my own wife,
2:20:29
sometimes a guy can kick beyond his coverage.
2:20:32
Mimi is a pure class act and our
2:20:34
prayers are with you both.
2:20:35
For producers out there and get more nation
2:20:37
needing some great coffee.
2:20:38
Here's what you do.
2:20:39
Visit gigawatt coffee roasters.com and use code
2:20:41
it m 24 20% off your order
2:20:44
and whatever you do stay caffeinated says Eli
2:20:47
the cafe the coffee guy the cafe guy.
2:20:49
Eli the cafe guy.
2:20:50
Yes.
2:20:51
All right.
2:20:52
I can't see the note.
2:20:54
Yeah, I've got this.
2:20:55
I'm sorry.
2:20:56
No, it's okay.
2:20:57
This is from Rita's stick.
2:21:00
It's that stick.
2:21:01
It's I think Ogden Dunes, Indiana.
2:21:04
$200 and 15 cents.
2:21:05
It's a switcheroo.
2:21:07
Hey, john and Adam.
2:21:08
This is Rachel stickage from Ogden Dunes, Indiana
2:21:11
on the shore of Lake Michigan with a
2:21:13
switcheroo donation for my son Tom.
2:21:15
Your show is always a topic of conversation
2:21:17
between us.
2:21:18
John's boomer perspective tips of the day are
2:21:21
wonderful.
2:21:22
Adam, your European knowledge and conspiracy theories really
2:21:25
make this the best podcast in the universe
2:21:28
or of the part of the universe.
2:21:29
He says four more years $200 and 50
2:21:32
cent donation.
2:21:33
Thanks for all your hard work.
2:21:34
Sincerely, Rita stickage and I will make sure
2:21:37
that the switcheroo takes place Rita.
2:21:40
No problem.
2:21:42
So the next two with no notes are
2:21:44
for $200.
2:21:45
One is Radu Maranescu from that's a good
2:21:49
word.
2:21:50
Petesky, Romania.
2:21:52
It looks like Oh, yeah.
2:21:53
We don't have many donors from Romania.
2:21:55
Thank you.
2:21:56
Petesky.
2:21:57
Yes.
2:21:57
Petesky.
2:21:57
Radu.
2:21:58
Thank you.
2:21:59
And then Martin Martinson in Arlington, Texas.
2:22:03
Also $200.
2:22:03
Brian Brian Martinson.
2:22:06
Brian.
2:22:07
Oh, yeah.
2:22:07
What'd I call him?
2:22:08
I call him Ryan.
2:22:08
Oh, I got him Martin Brian.
2:22:10
Sorry.
2:22:11
Sorry.
2:22:14
Karma.
2:22:17
And coming in with her usual $200 is
2:22:21
the aforementioned Linda Lou Patkin from Castle Rock,
2:22:24
Colorado.
2:22:24
And she wants jobs karma.
2:22:26
And as always, she says, for a competitive
2:22:28
edge with a resume that gets results go
2:22:30
to image makers Inc.
2:22:32
com Linda applies executive level positioning to career
2:22:35
transitions at every stage.
2:22:38
That's image makers Inc with a K and
2:22:40
work with Linda Lou Duchess of jobs and
2:22:41
writer of winning resumes jobs, jobs, jobs and
2:22:46
jobs.
2:22:47
Let's vote for jobs.
2:22:54
Sir Dr. Sharky St. Peters, Missouri.
2:22:58
$200.
2:22:59
Dear john, you'd better get well faster because
2:23:02
Mimi is knocking it out of the park
2:23:04
and could become your permanent replacement.
2:23:07
Please eat all the mac and cheese you
2:23:09
possibly can.
2:23:10
It will make you better.
2:23:11
Trust me.
2:23:12
I'm a doctor.
2:23:13
Love and kisses.
2:23:15
Duke, sir.
2:23:16
Dr. Sharky, SG of FEMA regions four and
2:23:19
eight and seven.
2:23:21
PS Adam, please send as much mac and
2:23:23
cheese karma to john as you can.
2:23:26
You slaves can get used to Mac and
2:23:28
cheese.
2:23:30
Macaroni and cheese cheddar melted together mac and
2:23:34
cheese mac and cheese mac and cheese.
2:23:37
Mac and cheese.
2:23:41
And that concludes our executive and associate executive
2:23:44
producers for episode 1850 of the best podcast
2:23:48
in the universe.
2:23:49
Thank you to all of these producers.
2:23:50
Once again, these are real credits that you
2:23:53
just received.
2:23:53
And you can even check that by going
2:23:56
to imdb.com.
2:23:57
And if you don't already have one open
2:23:58
up an account.
2:23:59
Seems that some some people actually do it
2:24:01
for you.
2:24:02
So there are 1000s of no agenda producers
2:24:05
in there, including some big Hollywood names.
2:24:08
So give it a shot.
2:24:10
And of course, we'll thank the rest of
2:24:11
our donors $50 and above in our second
2:24:13
segment.
2:24:14
We appreciate all that you're doing.
2:24:15
And a reminder that if you get any
2:24:17
value from the show, all you have to
2:24:19
do is return it in a number.
2:24:20
It's any amount if you want to do
2:24:22
it more regularly.
2:24:23
So you can set up a recurring donation,
2:24:26
any amount any frequency.
2:24:28
Once again, that is no agenda donation.com.
2:24:30
Thank you for your courage and your support
2:24:32
formula is this.
2:24:34
We go out, we hit people in the
2:24:36
mouth.
2:24:51
Are we doing on time?
2:24:53
Oh, goodness.
2:24:54
I got a little bit of time left.
2:24:55
Somehow it's not that hard to fill the
2:24:57
fill the hours with you.
2:24:58
Mimi, it's kind of working.
2:24:59
I don't know what that is.
2:25:01
It's the work.
2:25:03
Do you have anything else on your list
2:25:04
that you wanted to play here?
2:25:07
Um, well, actually, I this was just something
2:25:10
that made me laugh.
2:25:11
And you know, while watching our our legislature,
2:25:16
our federal government in action.
2:25:18
It's called the amusing Mr. Kennedy.
2:25:21
The amusing Mr. Kennedy, okay.
2:25:25
Isn't it a fact that if President Biden
2:25:27
had discovered life on Mars, when he was
2:25:30
president, he would have immediately sent it money?
2:25:34
I don't believe so.
2:25:35
Oh, you don't?
2:25:35
Okay.
2:25:36
Well, I appreciate your newly found fiscal conservatism.
2:25:42
Yeah, Kennedy is always a funny guy.
2:25:46
He doesn't have to watch like, hours and
2:25:49
hours.
2:25:49
And then it's like, Oh, there's something funny
2:25:53
here.
2:25:54
Oh, well, yes.
2:25:54
Yeah.
2:25:55
Well, welcome to our world.
2:25:57
Yes, exactly.
2:25:58
It takes forever to come up with the
2:26:01
clips and listen to say because I have
2:26:03
to listen to everything.
2:26:04
And I have to, it's you know, this
2:26:07
is not trivial.
2:26:08
And john always makes it sound so easy.
2:26:11
And this is the problem.
2:26:13
We make it look easy.
2:26:14
That's what I always tell him.
2:26:15
You got to grouse more.
2:26:16
So hard doing this clip.
2:26:19
It's killing me.
2:26:21
I just saw on you know, that Michigan
2:26:23
shooter.
2:26:24
Turns out the FBI did a active shooter
2:26:29
drill at that very synagogue just a few
2:26:31
months ago.
2:26:32
Isn't that interesting?
2:26:35
Always got to always got to wonder how
2:26:38
that works.
2:26:40
Let me see.
2:26:42
I, I have a series of clips that
2:26:49
Yeah, we'll just wrap it up with these.
2:26:52
This is from NPR.
2:26:54
And it's about the Department of Homeland Security.
2:26:59
And while NPR is stupid, and you know,
2:27:04
the things that they put in here, it's
2:27:07
all things that we've been warning about for
2:27:09
the entire length of this show.
2:27:12
Wait, no, Department of Homeland Security existed when
2:27:16
the show came into being.
2:27:18
But DHS, by itself, it's just such a
2:27:21
weird, and they're not funded now.
2:27:23
So the airports are starting to clog up
2:27:26
because TSA agents and this is the first
2:27:28
week I believe that they haven't gotten paid.
2:27:31
So you know, and it's all I mean,
2:27:34
I'm all for for getting rid of Department
2:27:36
of Homeland Security.
2:27:37
They already kicked Kristi Noem out, you got
2:27:40
your blood, you fund it again.
2:27:42
But this thing is, everything's underneath it.
2:27:46
And it just feels like a quagmire.
2:27:48
It's got Coast Guard.
2:27:50
It's got TSA.
2:27:52
It's got FEMA.
2:27:54
You know, so the thing's a mess.
2:27:57
Yep.
2:27:58
And what, where were these agencies before DHS?
2:28:04
Where did they, I know Coast Guard bumped
2:28:06
around a lot, but then TSA didn't exist,
2:28:10
I guess, until 9-11, which was also
2:28:13
DHS.
2:28:13
But I mean, what is their job now?
2:28:18
Is it just to protect the homeland like
2:28:21
SS officers?
2:28:24
Or what is your view of what this
2:28:27
is?
2:28:29
Well, wasn't TSA under the Border Patrol originally?
2:28:33
Or was that could they remove?
2:28:35
Yeah, it could be.
2:28:36
Yeah.
2:28:37
I don't know.
2:28:38
It just seems like, let's put them there.
2:28:41
I am not clear about what they're up
2:28:43
to with that.
2:28:45
Meanwhile, don't aren't a lot of TSA guys
2:28:48
now contract workers.
2:28:51
So they're getting paid still?
2:28:53
Oh, this I don't know.
2:28:54
I know FEMA has a lot of a
2:28:55
lot of contracts.
2:28:57
All of this is, in my opinion, a
2:28:59
big money sink.
2:29:01
I mean, TSA by itself is like, okay,
2:29:04
right.
2:29:05
You know, we were really worried about people
2:29:08
hijacking planes.
2:29:10
And I guess we said to be continued
2:29:12
to be worried.
2:29:13
And then we were worried about something that
2:29:16
never happened, which, you know, people had liquid
2:29:18
in their shoes, and they're going to blow
2:29:20
everything up.
2:29:20
And so we'd take our shoes off, we
2:29:22
can't have water bottles and just all of
2:29:24
this security theater.
2:29:26
And now DHS is under duress because of
2:29:31
ice falling under DHS, although ice has been
2:29:34
funded separately, with $70 billion.
2:29:38
So, you know, withholding payment from DHS is
2:29:42
only going to make DHS people angry.
2:29:44
And I think we should look at DHS
2:29:47
in general, but NPR had this interesting, interesting
2:29:56
feature about DHS surveillance.
2:30:00
And some of it is stupid, but there's
2:30:02
some merit to it.
2:30:03
It's it's worth a laugh in a couple
2:30:06
of these clips.
2:30:06
Today on the show, we're going to be
2:30:08
talking about how the Department of Homeland Security
2:30:10
is surveilling people in new ways, because you
2:30:13
both along with NPR's Meg Anderson have been
2:30:16
digging into a bunch of different tools that
2:30:18
DHS is using to track both people who
2:30:20
are in the United States illegally, but also
2:30:22
U.S. citizens.
2:30:23
And I want to start with this example
2:30:25
of this woman in Minneapolis named Emily, who
2:30:27
your story kind of opens with as well.
2:30:30
Kat, tell us about who she is and
2:30:31
what her experience kind of shows.
2:30:33
Yeah.
2:30:33
So Emily's experience was back in late January.
2:30:36
She was out driving around her neighborhood in
2:30:38
Minneapolis patrolling for ice as a constitutional observer.
2:30:45
I want that's what I want a business
2:30:47
card.
2:30:48
What do you do?
2:30:48
I am a constitutional observer.
2:30:50
You mean someone someone who just observes government
2:30:54
under the Constitution, I guess.
2:30:58
Can you blow a whistle?
2:31:00
No, maybe.
2:31:00
All right.
2:31:01
She was out driving around her neighborhood in
2:31:03
Minneapolis patrolling for ice as a constitutional observer.
2:31:07
I'll just say we're only IDing Emily by
2:31:09
her first name because she fears retribution from
2:31:12
the federal government.
2:31:13
She told me she was following an ICE
2:31:15
vehicle at a safe distance into a parking
2:31:17
lot when a masked agent leaned out the
2:31:20
window, took a picture of her and her
2:31:22
license plate, and then rolled down the window
2:31:25
and addressed Emily by name and recited her
2:31:29
home address to her.
2:31:31
Emily told us that it really shook her.
2:31:34
Their message was not subtle, right?
2:31:36
They were in effect saying, we see you,
2:31:38
we can get to you whenever we want
2:31:40
to.
2:31:40
And it did scare me.
2:31:42
Emily says she didn't know.
2:31:43
They didn't say that.
2:31:45
Okay.
2:31:46
In effect, they said that.
2:31:48
So they looked at her license plate, I
2:31:49
guess, address to her.
2:31:51
You know, Emily told us that it really
2:31:52
shook her.
2:31:53
Their message was not subtle, right?
2:31:55
They were in effect saying, we see you,
2:31:58
we can get to you whenever we want
2:31:59
to.
2:32:00
And it did scare me.
2:32:01
Emily says she didn't know how they pulled
2:32:04
up her information so quickly.
2:32:07
And that was one of the things we
2:32:08
were really trying to figure out with this
2:32:10
reporting was, you know, we were collecting dozens
2:32:12
of stories, talking to people, combing through court
2:32:15
documents to really try to understand how is
2:32:18
this surveillance web that DHS is spinning affecting
2:32:22
real people on the ground?
2:32:23
Surveillance web.
2:32:25
Okay.
2:32:26
Surveillance web.
2:32:28
You know, there's also a lot of questions
2:32:32
out there about what kinds of information DHS
2:32:36
and federal agents are collecting on observers like
2:32:40
Emily.
2:32:41
There was a case in Maine, a woman
2:32:44
who was recording another observer who was recording
2:32:47
federal agents on her.
2:32:48
I love this observer.
2:32:50
This is great.
2:32:52
I'm a constitutional observer.
2:32:55
Phone.
2:32:55
Her name's Colleen Fagan.
2:32:57
And she was watching ICE agents.
2:33:00
And as she was watching them with her
2:33:03
phone, they were seemingly recording her face and
2:33:06
her license plate.
2:33:07
And she recorded this video.
2:33:09
Exactly.
2:33:10
Yeah.
2:33:10
That's what we're doing.
2:33:11
Yeah.
2:33:11
Why are you taking my information down?
2:33:13
Because we have a nice little database.
2:33:14
Oh, good.
2:33:15
And now you're considered a domestic terrorist.
2:33:19
We're videotaping you?
2:33:21
All right.
2:33:22
First of all, screw you, DHS guy.
2:33:25
What are you doing?
2:33:26
Oh, we have a nice little database.
2:33:28
You're a domestic terrorist.
2:33:30
That guy is out of line.
2:33:32
So I'm going to give him that.
2:33:36
She's not a domestic terrorist.
2:33:38
No.
2:33:39
But have any of these people ever done
2:33:41
a ride along with their local police department?
2:33:44
Oh, no.
2:33:45
They just can.
2:33:45
All ACAP, baby.
2:33:47
All cops are bastards.
2:33:48
They have no idea what cops do.
2:33:51
Do they know that when they scan their
2:33:53
credit card, their membership card at the grocery
2:33:56
store, that they're in a giant database that
2:33:58
says what they're most likely to buy?
2:34:00
Yeah, but I get points.
2:34:02
I get points for that.
2:34:03
I get points.
2:34:03
I get free goodies.
2:34:04
I get points.
2:34:05
See, the big thing up here right now
2:34:07
are flock cameras.
2:34:09
And flock cameras are like, oh, they grab
2:34:12
the license plate number and they keep a
2:34:14
database.
2:34:15
It's coming up.
2:34:15
So you can hear there, they tell her
2:34:17
that they have a quote, nice little database
2:34:19
and that they are considering her a domestic
2:34:21
terrorist.
2:34:23
I will say that DHS has denied having
2:34:25
a database like this several times since that
2:34:28
video went pretty viral.
2:34:30
Outgoing Secretary Kristi Noem denied it in front
2:34:32
of Congress just last week.
2:34:34
Todd Lyons, who's the acting director for ICE,
2:34:36
has also denied it in front of Congress.
2:34:38
DHS also denied it to us in a
2:34:40
statement that we got from them.
2:34:43
We did ask DHS why agents are taking
2:34:45
pictures of protesters' faces or license plates, and
2:34:49
they did not respond to that question when
2:34:51
we asked them.
2:34:52
So, you know, we don't know if there
2:34:54
is a database like this, despite them denying
2:34:56
it.
2:34:57
You know, it could be that, you know,
2:34:59
these are semantics.
2:35:00
Maybe a contractor has a database.
2:35:02
Maybe it's not technically a database.
2:35:04
These are still things that we don't know.
2:35:06
So this is amazing.
2:35:08
They dove in deep and they figured something
2:35:10
out.
2:35:10
Tell me more about what your reporting found
2:35:12
out, specifically in Emily's case.
2:35:14
I mean, how was the government, do you
2:35:15
have any sense of how the government was
2:35:17
able to get this information on her?
2:35:19
We don't know the specifics.
2:35:21
I mean, you know, we asked ICE and
2:35:22
DHS and they say they won't share those
2:35:25
tactics with the public.
2:35:29
But I mean, it does seem like vehicle
2:35:31
registration information is key.
2:35:34
You know, law enforcement through license plates can
2:35:36
figure out who owns a car and their
2:35:38
address.
2:35:39
Yes, exactly.
2:35:41
That's right.
2:35:42
Your vehicle registration.
2:35:46
And now we get it.
2:35:48
And so at this point, I'm still like,
2:35:50
oh, OK, you're following ICE.
2:35:52
We all know why you're doing it.
2:35:54
You know, and you could be hampering law
2:35:57
enforcement.
2:35:58
It could end up very bad for you.
2:36:00
Will you not learn?
2:36:02
OK, you're a constitutional observer.
2:36:04
That's fine.
2:36:05
That's your right to do that.
2:36:06
But there are some things that people are
2:36:08
very concerned about that have some validity.
2:36:10
But we've seen lots of other examples of
2:36:13
cross-agency data sharing.
2:36:16
And so and actually some of these are
2:36:17
agreements with ICE.
2:36:19
So, for example, there's records from Medicaid that
2:36:23
a federal judge has now approved because it
2:36:25
was challenged in court to be shared with
2:36:27
ICE that include address information.
2:36:31
You know, one technology that ICE agents have
2:36:34
access to is a cell phone app called
2:36:36
Elite.
2:36:37
It's made by Palantir, which is a company
2:36:39
that does a lot in the tech space.
2:36:41
It has a lot of government contracts.
2:36:43
And this app and it was described by
2:36:46
an ICE agent in court testimony as looking
2:36:50
kind of like Google Maps and showing data
2:36:53
points of places where people who could be
2:36:56
deported by ICE live and like the likelihood
2:36:59
that they live at address.
2:37:01
And it pulls from a lot of different
2:37:02
data streams.
2:37:04
And Palantir has acknowledged that some of that
2:37:07
data includes data from other federal agencies.
2:37:11
And we think that that includes those Medicaid
2:37:13
records, for example.
2:37:15
So so this is something that we're now
2:37:18
starting to see a little bit more how
2:37:20
some of these data sharing and consolidation efforts
2:37:23
that are happening on the federal level are
2:37:25
now trickling down to ICE agents in the
2:37:28
field to be able to locate people they
2:37:30
want to deport.
2:37:31
So Palantir is a huge dog whistle for
2:37:34
people, particularly conservatives.
2:37:37
And with definitely with some merit, although I'm
2:37:41
very skeptical about, you know, what it is,
2:37:44
I can tell you the public information about
2:37:46
this Elite phone app, which gets the front
2:37:51
into a database.
2:37:52
Elite stands for Enhanced Leads Identification and Targeting
2:37:56
for Enforcement.
2:37:57
It was created on a 30 million dollar
2:38:00
contract for a 30,000 dollar app.
2:38:03
And it does they do claim it has
2:38:05
the total information approach and it pulls from
2:38:08
the file publicly that we know pulls from
2:38:10
the following data sources, HHS and Medicaid.
2:38:15
And I that that feels bothersome to me.
2:38:20
That they're pulling medical records into into their
2:38:24
system.
2:38:24
What's your feeling about that?
2:38:27
Well, is it medical records or just that
2:38:30
you are?
2:38:32
Is it all based on.
2:38:35
Well, it's supposedly to identify you.
2:38:38
It's supposedly to identify to verify your current
2:38:41
address.
2:38:43
Now, OK, from the stand.
2:38:46
OK, so so let's this is looking at
2:38:48
the bad side of this.
2:38:49
Let's look at the other side of this.
2:38:51
If you are let's say your child is
2:38:55
missing, you know, your kid takes off, you
2:38:58
know, on a cross-country trip and you
2:39:00
lose touch with them.
2:39:01
You know, every bridge toll, every toll road.
2:39:06
You're going too far.
2:39:06
Stay with Medicare before you before you go
2:39:09
into license plate scanners.
2:39:10
We're getting to that.
2:39:11
OK, so OK.
2:39:18
So and you don't know you are you
2:39:21
can be notified based on the fact that
2:39:23
they have identified who your child is through.
2:39:27
You're pulling you're pulling the think of the
2:39:29
children card, Mimi.
2:39:30
I'm that's unacceptable.
2:39:32
That's unacceptable.
2:39:33
I'm not taking that now.
2:39:34
I we are in so many databases.
2:39:37
If you just Google yourself, you'll find.
2:39:41
No kidding.
2:39:42
No kidding.
2:39:43
I'll continue.
2:39:44
So supposedly to verify current address, then they
2:39:47
have commercial data, third party data services, Thomson
2:39:50
Reuters clear, you know, that thing that you
2:39:54
use to get through airport security quickly.
2:39:57
Oh, yeah.
2:39:57
And then they have access to DHS and
2:40:00
USCIS records, passport data, Social Security files and
2:40:04
the license plate reader history.
2:40:07
So, yeah, it's probably 50 of what Oracle
2:40:12
does and the data brokers do to sell
2:40:15
you stuff.
2:40:16
But the concern that citizens have is valid.
2:40:20
But you're about 30 years too late.
2:40:22
Do we have any sense on whether these
2:40:24
tactics are different for people who have crossed
2:40:29
into the United States illegally, who are here
2:40:31
without legal status and who DHS obviously seeks
2:40:35
to deport versus the U.S. citizens that
2:40:38
we've been talking about?
2:40:38
Well, we do know that ICE is using
2:40:40
facial recognition technology and also location data, like
2:40:45
Jude was talking about earlier, to find people
2:40:48
and identify people that it potentially is seeking
2:40:51
to deport.
2:40:52
But, you know, we're all subject to some
2:40:55
level of this surveillance because ultimately, if it's
2:40:58
being used on one of us, it's possibly
2:41:00
being used on all of us.
2:41:01
Right.
2:41:02
But is that legal?
2:41:03
I mean, in terms of like, I can
2:41:05
understand how the government can justify using this
2:41:08
sort of surveillance to track people who it
2:41:11
feels have committed a crime and therefore need
2:41:13
to be deported.
2:41:14
If I have not committed a crime, I
2:41:16
mean, can you use legally this level of
2:41:18
surveillance to figure out what I'm doing?
2:41:21
And, you know, and that is exactly one
2:41:22
of the big questions here.
2:41:24
You know, but just to give a concrete
2:41:26
example, you know, one tool that's really exploded
2:41:30
and not just for DHS are automatic license
2:41:34
plate readers, which are, you know, all over
2:41:36
freeways and entries and exits into cities at
2:41:40
this point and a great tool for law
2:41:41
enforcement to be able to track down cars
2:41:44
that are stolen or that might have committed
2:41:46
a crime.
2:41:47
But it's picking up license plate information on
2:41:49
everyone and it can allow law enforcement, including
2:41:53
DHS, which controls some of these license plate
2:41:57
readers and has access to others to really
2:42:00
locate most cars that it wants to find
2:42:03
because they'll be picked up in this camera
2:42:04
network.
2:42:05
So that's an example where, you know, critics
2:42:07
of this technology say this is mass surveillance
2:42:10
and that law enforcement shouldn't just have this
2:42:13
unfettered access to this level of data.
2:42:16
There's your license plate readers.
2:42:18
OK.
2:42:19
License plate readers are used in Home Depot
2:42:22
and Lowe's and Walmart.
2:42:24
Doesn't make it right.
2:42:25
But the reason they're doing it is because
2:42:28
that because so many states have made it
2:42:30
so you can't arrest someone for shoplifting unless
2:42:33
it's over a thousand dollars.
2:42:35
Then what they do is they record the
2:42:38
license plates.
2:42:39
And if you are if you keep showing
2:42:42
up with that license plate and you go
2:42:44
in and you rip off stores, they put
2:42:46
it all together as one complaint so they
2:42:47
can actually go after you for a thousand
2:42:49
dollars worth of theft.
2:42:51
So they're doing it as a as a
2:42:53
harm reduction for their for their bottom line
2:42:56
to to have some recourse with these people
2:42:59
who are just especially these rings.
2:43:02
There's big rings of shoplifters that are out
2:43:04
there who steal thousands and thousands of dollars
2:43:06
every day.
2:43:08
You know, it's probably more than thousands, hundreds
2:43:11
of thousands.
2:43:13
And, you know, that's why you go into
2:43:14
Home Depot now and you have to call
2:43:16
over a clerk to open up the cage
2:43:18
so you can get, you know, a drill.
2:43:22
You know, it's it's kind of like, yeah,
2:43:25
you need to be identified.
2:43:25
But we allow ourselves to.
2:43:28
How many people have the toll passes for
2:43:30
for highways?
2:43:32
Not me, not me.
2:43:34
Well, you don't have bridges there.
2:43:36
We have toll roads and and they just
2:43:39
send me a bill in the mail where
2:43:41
they they get my license plate, they snap
2:43:43
it.
2:43:44
But I don't indiscriminately drive around with an
2:43:47
RFID device.
2:43:48
I'm not nuts.
2:43:49
And how do they identify where you live
2:43:52
when you go across a bridge?
2:43:54
They just Google it.
2:43:55
They just Google it.
2:43:56
Everybody can Google where I live.
2:43:57
It's impossible to hide that stuff.
2:44:00
Well, no, it's it's based on your your
2:44:02
vehicle registration, your license plate.
2:44:05
So, I mean, we are all connected in
2:44:07
so many ways to this.
2:44:08
It's like, OK, you can look at the
2:44:10
downside.
2:44:11
Oh, gosh.
2:44:11
You know, they're keeping track of us.
2:44:13
But at the other side, you know.
2:44:17
What's new?
2:44:18
Well, here in Texas, um, when someone shoplifts,
2:44:23
we shoot you.
2:44:24
So we don't.
2:44:25
Oh, yeah, that's lovely.
2:44:26
That's so much better.
2:44:27
Tough luck.
2:44:28
Yeah.
2:44:29
Say I didn't go to California or Washington
2:44:31
state and go shoplift there.
2:44:33
Yeah.
2:44:34
And we fight against cameras, traffic cameras, license
2:44:39
plate readers.
2:44:40
They've tried to put them in Fredericksburg.
2:44:42
Nope, nope, nope.
2:44:44
That's outlawed.
2:44:45
Austin, they they crumble.
2:44:47
So in Austin, they're everywhere.
2:44:49
But a lot of places in Texas just
2:44:51
know I'm not going to have it.
2:44:52
We're not going to let the government have
2:44:54
that kind of control.
2:44:55
I'm against it.
2:44:56
I really am.
2:44:57
And not just the flock cameras, but all
2:45:01
these stupid ring cameras and everything.
2:45:05
This report, this I hope this gives people
2:45:07
some food for thought.
2:45:09
You probably think security cameras make places safer,
2:45:13
but governments are hacking them to plan missile
2:45:16
strikes.
2:45:17
Researchers recently found hackers linked to Iran breaking
2:45:21
into security cameras across the Middle East.
2:45:23
Iran.
2:45:24
But why cameras?
2:45:25
Because once you hack one, well, you've got
2:45:28
eyes on the ground.
2:45:29
You can watch buildings, track traffic patterns, see
2:45:31
when people arrive or leave.
2:45:34
It's basically free intelligence.
2:45:36
Hacking these cameras isn't that hard.
2:45:39
Attackers have been exploiting flaws in popular brands
2:45:42
like Kikvision and Dahua, vulnerabilities that have been
2:45:45
known for years.
2:45:46
The real problem is something experts call digital
2:45:49
neglect.
2:45:50
People install digital devices and then forget about
2:45:53
them.
2:45:53
No updates, default passwords, no security settings.
2:45:57
Meanwhile, there are websites that scan the Internet
2:46:00
and list vulnerable devices.
2:46:02
And during conflicts from the Middle East to
2:46:05
the Russia-Ukraine war, civilian cameras have quietly
2:46:08
become intelligence tools.
2:46:10
Some analysts even say when they see spikes
2:46:12
in hacked cameras in one area, it can
2:46:15
be a warning that something is about to
2:46:17
happen there.
2:46:19
I think this is perfect counterbalance.
2:46:22
We are our own worst enemy, putting cameras
2:46:25
everywhere.
2:46:27
And if you think just Iran is looking
2:46:29
at him now.
2:46:30
No, but it does give me information on
2:46:33
when cougars are in my area and walking
2:46:35
through my yard.
2:46:36
Hey, there was a time when I'd want
2:46:38
to know when cougars were walking through my
2:46:39
yard.
2:46:40
I'm just told by donors to no agenda.
2:46:44
Imagine all the people who could do that.
2:46:46
Oh, yeah.
2:46:47
All right.
2:46:56
Let me see.
2:46:58
We're going to keep the the knights and
2:47:01
dames in abeyance until John returns.
2:47:04
We do have some people to thank who
2:47:07
continue to support the show and giving John
2:47:11
a reason to return back to the living.
2:47:14
So I'm going to read them now.
2:47:15
And it kicks off as often is with
2:47:17
Dame Rita from Sparks, Nevada.
2:47:19
One hundred and eighty eight dollars and eighty
2:47:20
eight cents.
2:47:21
And she says she's glad we're all in
2:47:23
the right places as this unfolded.
2:47:25
She wishes John an abundance of health, karma,
2:47:27
the best of recovery and strength to your
2:47:30
family at your side.
2:47:31
Adam, thank you.
2:47:32
And thank you for the best podcast in
2:47:33
the universe.
2:47:34
Julian Toones in Oakland, California.
2:47:36
One, two, three, dot four, five.
2:47:38
We got a strike donation.
2:47:41
Bitcoin one twenty one seventy nine.
2:47:43
Not sure who it's from, but he or
2:47:45
she says this bloke will outlive even the
2:47:47
Galapagos tortoises and such.
2:47:50
Jeff Hutchinson Topsham in Maine.
2:47:54
Oh, row of sticks.
2:47:55
One eleven dot eleven.
2:47:57
Stefan Trockels in Seuss in Deutschland.
2:48:00
One oh eight eighty eight.
2:48:01
Tim Landreth, Syracuse, Nebraska.
2:48:04
One oh eight thirty three.
2:48:05
Christopher Ebert in Spartanburg, South Carolina.
2:48:08
One oh five thirty five.
2:48:10
Brian from Port Angeles.
2:48:11
Long time douchebag feed.
2:48:13
I was time to donate to support John.
2:48:15
Get well, John.
2:48:16
Get well soon.
2:48:17
John, keep up the great work.
2:48:18
Me, me and Adam for excellent I.T.
2:48:20
support.
2:48:20
Check out all bright networks dot com.
2:48:23
One oh five thirty five.
2:48:25
For you, you've been de-douched.
2:48:28
Sir Sark seven one hundred dollars, eighty eight
2:48:31
cents.
2:48:32
Mimi's killing it, John.
2:48:33
Better get well soon.
2:48:34
He is the knight of Center Neptune from
2:48:36
Wildwood, Wildwood, Missouri.
2:48:39
Sir Dean of KDH in Moyoc, North Carolina.
2:48:43
One hundred dollars.
2:48:44
One hundred from Andrew Scalrod in Murrieta, California.
2:48:47
Same from Christopher Baker in Marquette, Michigan.
2:48:51
Stephen G.
2:48:53
Bottoms in Reno, Nevada.
2:48:54
One hundred.
2:48:55
Thomas Mullen, Whitehouse Station, New Jersey.
2:48:57
One hundred.
2:48:58
Michael Masato, Brooklyn, New York.
2:49:00
One hundred.
2:49:01
Kellen Price, a prince in Marlborough Township, New
2:49:04
Jersey.
2:49:04
One hundred dollars.
2:49:05
Now the eighty eight eighty eights.
2:49:07
This is the lucky number.
2:49:08
Eric Torsen in Itra, Arna in Norway.
2:49:13
Hank Eldrick in Mamer, Lithuania.
2:49:17
Wow.
2:49:18
Look at this.
2:49:19
And then Lucas Ziva in Bayerbrunn in Deutschland.
2:49:22
This is like the EU checking in.
2:49:25
Nice to see you guys.
2:49:26
Grebulon, Netanya, Illinois.
2:49:29
Johan van Junker in Halfweg, Haarlemmermeer.
2:49:33
It's in the formatic in Maple Grove, Minnesota.
2:49:40
Donald Rolfe in Parks in South Dakota.
2:49:43
Charles Obranovich in Plymouth, Minnesota.
2:49:46
Zachary Jude, Minneapolis, Minnesota.
2:49:48
Ben Boney in Athens, Tennessee.
2:49:50
William Parker, Lebanon, Pennsylvania.
2:49:53
Hugh Allison, York, South Carolina.
2:49:55
John Witten, Kodiak, Alaska.
2:49:59
Steve Jackson, Southlake, Texas.
2:50:02
Did I miss one?
2:50:03
No.
2:50:03
There we go.
2:50:04
Justin Halcom in Twin Falls, Idaho.
2:50:08
Beth Bradshaw in Ladsen, South Carolina.
2:50:11
Tower Comics, Edmonton, Alberta, Canada.
2:50:15
Dame Linda, Mistress of Spooky Garden, Philadelphia, Pennsylvania.
2:50:19
Morgan Mary in Spicewood, Texas.
2:50:21
Lucas Hoon in Sandown, New Hampshire.
2:50:24
Robert Mussard in Riverside, California.
2:50:27
Mansoor Raad in Alpharetta, Georgia.
2:50:30
Michael Bowling in Goleta, California.
2:50:32
Ray Jacobson, Ashland, Virginia.
2:50:35
David Clark, Spartanburg, South Carolina.
2:50:38
Brian P.
2:50:39
Bellen, Asbury, New Jersey.
2:50:41
Loni Salas in Gold Hill, Oregon.
2:50:44
John Fitzpatrick, Heber Springs, Arkansas, Arizona.
2:50:47
Arkansas, Arkansas.
2:50:49
What?
2:50:49
A-R, is that?
2:50:50
Arkansas.
2:50:50
Arkansas, yes.
2:50:51
Arkansas.
2:50:52
Ken Appraisals, Inc., Jackson, Georgia.
2:50:56
Alvaro Munoz Ayukwenz, Wiesbeck in Cambridge.
2:51:04
Oh, this is in the UK.
2:51:06
Mary Schwarzer in Dublin, Virginia.
2:51:08
Christopher Stabile in Forestelle, Missouri.
2:51:12
Christopher O'Brien, Brighton, Massachusetts.
2:51:14
Zach Nanas in, rhymes with, in Los Angeles,
2:51:17
California.
2:51:18
Sean Brown, Harriman, Utah.
2:51:20
Robert Rida in Pittsburgh, Pennsylvania.
2:51:23
David Ott, Wake Forest, North Carolina.
2:51:26
Ernie Parton in Westchester, Ohio.
2:51:28
Steve Siccarelli in Pittsburgh, New York.
2:51:33
Sophia Pandalia in San Jose, California.
2:51:36
Jason Binder in Pittsburgh, Pennsylvania.
2:51:40
Alexey Volinsky in New Windsor, New York.
2:51:42
John D.
2:51:43
Carney in Alpharetta, Georgia.
2:51:44
Patrick Ryan in Lakewood, Colorado.
2:51:47
Smiley Upstate in, uh.
2:51:52
Hona, Hona.
2:51:54
Yeah.
2:51:56
Honanapupu.
2:51:58
Yeah, something like that.
2:51:59
I think we got it.
2:51:59
Honanahapupu.
2:52:00
Hawaii.
2:52:01
Hawaii.
2:52:02
Someone's laughing at us in Hawaii.
2:52:03
Okay.
2:52:04
Eric Deakin, Lynchburg, Virginia.
2:52:06
Matthew Wilbur, Ruth, Ruther Glenn, Virginia.
2:52:09
Simon Xiong in Snellville, Georgia.
2:52:12
John Walters, Denham Springs, Louisiana.
2:52:14
Robert Stokes in Covington, Texas.
2:52:17
Uh, is it Covington or Covington?
2:52:19
Covington, probably.
2:52:20
Probably Covington.
2:52:21
Yes.
2:52:21
Ryan Wickenhagen in Townsend, Georgia.
2:52:24
Troy Allman in Greenville, South Carolina.
2:52:26
Peter Goodall in St. Louis, Missouri.
2:52:28
Justin Baker in Norma, Oklahoma.
2:52:31
Mark Cable in Roberts Bridge, East Sussex.
2:52:34
That's in the UK.
2:52:35
Michael Pizzuti in Lewis Center, Ohio.
2:52:38
Jenny L.
2:52:39
Allen in Lahey, Utah.
2:52:42
Peter Chong, Lakewood, Washington.
2:52:44
Thomas Starkweather.
2:52:45
Hey, Tom.
2:52:46
Stafford, Virginia.
2:52:47
How you doing, Tom Starkweather?
2:52:48
Justin Pagano in Philadelphia.
2:52:51
Daniel Vazicek in Great Falls, Montana.
2:52:55
Max Max, Cape Town in South Africa.
2:52:58
Very nice.
2:52:59
Western Cape Town.
2:53:00
Timothy Morris, Shoreham-by-Sea in West Sussex
2:53:03
in Great Britain.
2:53:04
And coming in from Oxfordshire, it's James Scholar
2:53:07
in Bichester in the UK.
2:53:09
Lots of UKs here.
2:53:10
Robert Champion in Birmingham.
2:53:12
And Ben Tinsley in Newtown Abbey.
2:53:16
And Matt Woodman in Wareham in Dorset.
2:53:20
Wow, a lot of UK people.
2:53:22
Thank you.
2:53:23
Sir Caricus of Cold Snatch, Avada, Colorado.
2:53:27
And he says, uh, I have to say,
2:53:29
Mrs. Buzzkill sounds kind of hot.
2:53:31
Maybe we don't need you after all.
2:53:32
Kidding.
2:53:33
Get back.
2:53:33
We need your Buzzkill to balance out Adam's
2:53:36
crackpot.
2:53:37
Get well, get strong, get back to deconstructing
2:53:39
the media.
2:53:40
Sharon Puchniak in St. Paul, Minnesota.
2:53:44
Ed Warner in Sedro-Wooley, Washington.
2:53:47
Ray Jacobson, Ashland, Virginia.
2:53:50
Eric Hammond in Holtz, Michigan.
2:53:52
Trent Bell in Upland, California.
2:53:54
Kevin Webb, Carlton, Texas.
2:53:57
Oliver Reich in Greenbrae, California.
2:54:00
Walter Kurtz in Fort Mill, South Carolina.
2:54:03
Stephen Neumann in St. Louis, Missouri.
2:54:05
Gillian Martini in Tucson, Arizona.
2:54:09
Paul Sayre in Westbury-Wiltshire.
2:54:11
That's in the UK.
2:54:12
Mullen James in Franklin, Wisconsin.
2:54:15
Yeah, Wisconsin.
2:54:16
Pink Daisy Crafter in Trimble, Missouri.
2:54:19
Drew Veneman in Arlington Heights, Illinois.
2:54:23
Scott Fuller in Cumming, Georgia.
2:54:24
Reagan Quinn, Monroe City, Missouri.
2:54:27
Frank Chiapetta in Carpentersville, Illinois.
2:54:30
Ryan Alba in San Ramon, California.
2:54:33
Thomas Anaya in Georgetown, Texas.
2:54:36
Chris Rivera, San Jose, California.
2:54:40
Sabida Pet, Sabida, Sabida Pet, or Pete in
2:54:44
Metairie, Louisiana.
2:54:46
James McClemore in Fort Collins, Colorado.
2:54:49
Jason Battinger in Florence, Kentucky.
2:54:52
Al Stressler, Wilmette, Illinois.
2:54:56
Kent Zeser in McKinney, Texas.
2:54:58
Christopher Burkhardt in Oceanside, California.
2:55:01
Russell Coury in St. Cloud, Florida.
2:55:04
Sherry Wermager in Arlington Heights, Illinois.
2:55:07
Devin Rotter, Handsville, Washington.
2:55:09
Andrew Gardner, Sir Andrew Gardner, I think, Leonardtown,
2:55:12
Maryland.
2:55:12
Stephen Smith, Cumberland Gap, Tennessee.
2:55:15
Andy Wyatt, San Antone, Texas.
2:55:18
Ethan Wellman, Crown Point, Indiana.
2:55:20
Nancy Chardavoigne in Centennial, Colorado.
2:55:25
Michael Randall, Jasper, Alberta, Canada.
2:55:29
Kevin McLaughlin, there he is, our Duke of
2:55:31
Luna, Archduke of Luna, Concord, North Carolina, 88
2:55:34
-88.
2:55:34
Spencer Whitney in Warren, New Jersey.
2:55:36
Mike Bateman comes in twice from Bloomington, Minnesota.
2:55:40
J.F. Triathlon Limited, Glasgow.
2:55:43
Oh, Glasgow, there you go.
2:55:45
That's East Dunbartonshire, trying that.
2:55:50
Mansoor Raad in Alpharetta, Georgia.
2:55:52
Coming in again, I think, Margot Lopez, Wyoming,
2:55:55
Michigan.
2:55:56
Joshua Schmidt in Norwood, Young, America.
2:56:00
That's in Minnesota.
2:56:02
Charlotte Worchester, San Francisco, California.
2:56:04
Speedy Recovery, Hendricks, Obie in Dallas, Texas.
2:56:08
Stay blessed, he says.
2:56:09
Lamar H.
2:56:10
Ford in Newport News, Virginia.
2:56:12
Now we have 80 and 88 cents.
2:56:15
Eric Rankin from Cholawada, Florida.
2:56:19
I'm butchering that.
2:56:20
Lydia Terry Dominelli, Rochester, New Hampshire.
2:56:23
Boob donation from Philip Blum, 8008, Sir Fast
2:56:28
Eddie in Alameda.
2:56:30
And he says, how about those magic numbers,
2:56:32
JC?
2:56:32
Remember, we had a conversation about the number
2:56:34
333 at the Pizzeria Violetta meetup in January.
2:56:38
Hmm, yes, a lot of threes in what
2:56:40
happened to him.
2:56:41
And there he is, the Archduke of Luna,
2:56:42
lover of America and boobs, Kevin McLaughlin.
2:56:50
Donation, boob donation, God bless America and boobs.
2:56:53
Nelson Ariza, also a boob donation, Lawrenceville, Georgia.
2:56:57
Triple sevens, Sean Richard from Arnhem in the
2:56:59
Netherlands.
2:57:00
Reagan S.
2:57:01
Turley in Pahrump, Nevada.
2:57:03
Call out Cha as a douchebag.
2:57:07
First douchebagging.
2:57:09
A Bitcoin donation from who is unknown, 6635.
2:57:13
Eric Rankin, Cholawada, Florida.
2:57:17
That's a tough one for me, 6502.
2:57:19
That's John's favorite chip donation.
2:57:21
Steven Schumacher, Shoemaker, I think it is, in
2:57:24
Xenia, Ohio, 6480.
2:57:26
Teresa Dempster Andrews in Camarillo, California, 6161.
2:57:32
She does have a note because I believe
2:57:33
she becomes a dame today.
2:57:36
So let me check the notes here.
2:57:39
Adam and John, while I finally am making
2:57:41
it to damehood with this donation, I would
2:57:43
like to be dame Teresa Martine and have
2:57:45
barbecue, baby back ribs, and margaritas at the
2:57:47
round table.
2:57:48
I want you to know how much I
2:57:49
appreciate you two and when, and your perspectives,
2:57:52
especially when I have held a different opinion.
2:57:54
It is very helpful to critical thinking process
2:57:57
to have one's viewpoints challenged with evidence.
2:57:59
God bless you both.
2:58:00
Soon to be dame Teresa and dame Teresa,
2:58:03
you will, it's Camarillo, thank you, Camarillo, California.
2:58:06
You will be damed when John returns.
2:58:09
So we make it nice and official.
2:58:11
Onward to Steve Wells with a small boob,
2:58:14
6006.
2:58:16
First time donation through PayPal.
2:58:19
You've been de-douched.
2:58:21
He's from Valley Springs, California.
2:58:24
Eli, Eli Dib in France.
2:58:30
I've been listening to your show for years
2:58:33
now during my weekends, while doing DIY or
2:58:38
gardening.
2:58:38
I live in France with a Lebanese origin.
2:58:41
I need to hear John grousing about the
2:58:45
new Middle East war.
2:58:46
Come back soon, John.
2:58:48
Eli Dib, Eli Dib, I think it is.
2:58:50
Nice to have you aboard, Eli, from France.
2:58:52
Not a lot of people in France donating
2:58:54
for sure.
2:58:55
Stephen King, Charlotte, North Carolina, 5885.
2:58:59
Timothy Tillman, Mechanicsville, Virginia, 5683.
2:59:02
Christopher Dechter, 5678.
2:59:04
We see you.
2:59:05
Peter Chong, Lakewood, Washington, double nickels on the
2:59:07
dime.
2:59:08
Daniel Wolnich in Zurich, wow, in Switzerland, 55.
2:59:16
Thank you.
2:59:16
Michael DiRenzo, $55.
2:59:20
This donation is for the beautiful woman who
2:59:21
turned me on to No Agenda, Ms. Heather
2:59:23
Bloom, Fairfield, Pennsylvania.
2:59:25
Please de-douche in the morning.
2:59:28
You've been de-douched.
2:59:30
Glenn Spangler in Roseville, 5432.
2:59:33
We see what you did.
2:59:34
Lee Harwood, Parts Unknown, 5272.
2:59:37
Nancy Murphy, San Bruno, California, 5244.
2:59:41
Saga and Ronnie from Sweden, from the place
2:59:46
we still can't pronounce because it comes through
2:59:48
in weird characters on the spreadsheet, in Sweden.
2:59:52
Thank you very much.
2:59:53
Bad Idea Supply, $50.50. My favorite company.
2:59:58
I love their stuff.
3:00:00
Absolutely.
3:00:00
I use it weekly.
3:00:02
Viscount Sir, Economic Hitman from Tomball, Texas, $50
3:00:05
.01. Rene Knigge in Utrecht, $50.00. These
3:00:09
are 50s for you.
3:00:10
Roderick Brown, Mermaid.
3:00:13
Pennsylvania, maybe?
3:00:14
No, PE.
3:00:15
No, Canada.
3:00:16
Prince Edward Island.
3:00:18
Prince Edward Island, yes.
3:00:19
Then coming in from Ornskog, Adrian Sandström-Oya
3:00:24
in Sweden.
3:00:25
Thank you very much.
3:00:26
Mike Tolley in Memphis, Tennessee.
3:00:29
Sally O'Brien, Silverdale in New Zealand, Auckland.
3:00:33
Robert Smiley in Holland, PA.
3:00:35
Graham McDonald, Vaucluse, New South Wales.
3:00:39
Vaucluse, that's in Australia.
3:00:41
John Berryhill in Laredo, Tennessee.
3:00:43
Laredo, Tennessee.
3:00:45
There's Stephen Shoemake, Xenia, Ohio.
3:00:48
Tim Delvecchio, Blandon, Pennsylvania.
3:00:51
David Asari in West Hollywood, California.
3:00:53
Gary Mao in Woodland Hills, California.
3:00:56
Ashley Welch, Parts Unknown, but $50.00. Prayers
3:00:59
for John's speedy recovery.
3:01:01
Jill Presnell in Wichita, Kansas.
3:01:05
Dame Patricia Worthington, Miami, Florida.
3:01:07
Brandon Savoie, Port Orchard, Washington.
3:01:09
Been a long time.
3:01:10
Catherine Richardson in Baltimore, Maryland.
3:01:13
Sir Chad GPT, West Jordan, Utah.
3:01:17
The Coopers in Greenville, South Carolina.
3:01:20
The things you do for donations.
3:01:21
Well, it worked.
3:01:22
Okay.
3:01:23
And that's it.
3:01:24
That is all of our $50.00 donors
3:01:27
mainly for John's speedy recovery.
3:01:30
It is so incredibly appreciated that you all
3:01:33
are thinking of him that way.
3:01:34
Thank you all so much.
3:01:36
Remember us at noagendadonations.com.
3:01:38
That's where you can always go to support
3:01:40
the show.
3:01:41
Noagendadonations.com.
3:01:48
Well, with all those donations, funny enough, only
3:01:50
one birthday on the list.
3:01:52
This is very, very odd.
3:01:54
It almost feels like a clerical error.
3:01:55
So Jacob Schultz wishes his mom a very
3:01:58
happy birthday.
3:01:59
She celebrated yesterday.
3:02:01
So we say happy birthday, Jacob Schultz's mom,
3:02:03
from everybody here at the best podcast in
3:02:05
the universe.
3:02:10
Adam, thank you so much for reading all
3:02:13
those.
3:02:14
I always feel like I should be doing
3:02:16
it as much, but you're great.
3:02:19
I'm sorry.
3:02:20
I didn't hear the last thing you said.
3:02:22
What was that?
3:02:22
Oh, you're great.
3:02:24
You're great.
3:02:24
I loved it.
3:02:34
Artificial, and we're happy to do those.
3:02:36
Baroness Surplus becomes Baron Illuminati today.
3:02:39
Dame Beth becomes Dame Beth Viscountess of Baja,
3:02:42
Arizona.
3:02:43
And Dame Isabel Pearson becomes Baroness of Coeurs.
3:02:46
Please send me a pronunciation correction on that.
3:02:49
We know it's in somewhere in France.
3:02:51
And we've been invited to the garden, apparently.
3:02:54
We did miss a note from Sean O
3:02:56
'Connell on 1849.
3:02:59
He says, I noticed Mimi didn't read my
3:03:01
notes, so I don't know if she saw
3:03:03
it or not.
3:03:03
It was in the PayPal comment field.
3:03:05
Things do happen.
3:03:06
I forgive her for that.
3:03:08
I'm sure she was nervous for her first
3:03:09
donation segment.
3:03:10
Mimi's not nervous about anything.
3:03:12
Anyway, I wish John a speedy recovery and
3:03:14
mentioned that I believe I've completed my donations
3:03:16
for knighthood.
3:03:17
I was going to include the accounting, but
3:03:18
PayPal puts a 200 character limit on the
3:03:21
note field.
3:03:22
Yes, that's why we encourage it.
3:03:23
Here it is in case you need it.
3:03:24
When John is back in the saddle soon,
3:03:26
I hope, please knight me, Sir Hatch of
3:03:28
the Western Wastes.
3:03:29
As always, thanks for everything you and John
3:03:31
do.
3:03:32
It's at times like this that we're all
3:03:33
reminded of the value you provide.
3:03:35
Regards from Sean O'Connell and indeed, Sean,
3:03:38
we will be knighting you upon John's return
3:03:40
and the dames as well.
3:03:44
Yeah, no meetup reports today, but we do
3:03:51
have a couple of meetups coming up.
3:03:53
Now, these are the no agenda meetups.
3:03:54
You can go to the meetup and have
3:03:58
a prayer circle for John.
3:03:59
There's a thought that no one has done
3:04:01
yet in a meetup and let us record
3:04:03
it and send a report to us.
3:04:05
Saturday, you can do that at the Treasure
3:04:07
Valley Boise Meetup, three o'clock at the
3:04:09
Old State Saloon, the East Texas Mid-Monthly
3:04:13
Meetup, a Pi Day edition.
3:04:15
Oh, yes, it's 314.
3:04:17
That's right.
3:04:18
Is that on Saturday?
3:04:21
Okay, well, I guess we can't do that.
3:04:24
No one donates for Pi Day anyway.
3:04:26
That'll be at Fred Lobster International Speedway in
3:04:29
Gladwater, Texas.
3:04:30
Dirty Jersey Whore hosting it for you on
3:04:32
Sunday on the 15th, the Indy NA.
3:04:35
I do believe it's time for a meetup,
3:04:36
the March edition.
3:04:37
And of course, Sir Mark and Dame Maria
3:04:40
of the Greenwood at Blind Owl Brewery.
3:04:42
They always send in a fabulous meetup report.
3:04:44
On the way in this month, Rockaway, New
3:04:46
Jersey on the 18th, Coeur d'Alene, Idaho
3:04:48
and Charlotte, North Carolina, the 19th, Los Angeles,
3:04:51
California, Franklin, Tennessee, both on the 21st, Vancouver,
3:04:55
British Columbia on the 22nd, Coleyville, Texas on
3:04:58
the 28th, Fort Wayne, Indiana on the 28th,
3:05:01
Beachwood, Victoria, Australia on the 28th as well.
3:05:04
And a reminder coming up in April on
3:05:06
the 11th, Albany, California.
3:05:08
Maybe John will get out for the house
3:05:09
for that.
3:05:09
Not sure.
3:05:10
And of course, the Fredericksburg, Texas meetup, which
3:05:13
I will be joining with Tina the Keeper
3:05:17
and Matt Long and Gail are hosting that.
3:05:19
It's going to be a hootenanny guaranteed.
3:05:22
No Agenda Meetups.
3:05:23
Go to noagendameetups.com.
3:05:25
You can find all of them listed.
3:05:26
You can look out into the future.
3:05:28
You can search by date.
3:05:29
There's all kinds of different ways you can
3:05:30
participate.
3:05:31
It's free.
3:05:32
This is just a producer organized thing, but
3:05:35
they happen all over the world.
3:05:37
And every single time people go to one,
3:05:39
you are making connections that give you protection.
3:05:41
These people that you meet at the No
3:05:43
Agenda Meetups will be your first responders in
3:05:45
any emergency.
3:05:47
If you can't find one near you, start
3:05:49
one yourself.
3:05:49
No Agenda Meetups, they're easy and always a
3:05:52
party.
3:06:11
And look at this.
3:06:13
As we go to look for our end
3:06:16
of show ISOs, it turns out Mimi has
3:06:18
some end of show ISOs to share with
3:06:20
us.
3:06:21
And not a one is AI.
3:06:23
I'm going to start.
3:06:24
They're all live.
3:06:25
I'll do mine first and then we can
3:06:28
listen to yours.
3:06:28
Here's my first one.
3:06:29
It's on purpose.
3:06:30
It's on purpose.
3:06:32
It's on purpose.
3:06:34
I'm going to the well for this.
3:06:36
Yes.
3:06:36
All right.
3:06:36
Here's the second one.
3:06:38
God bless you for having the courage.
3:06:41
Yeah, I thought it was pretty good.
3:06:42
And here's the it's it's fabulous.
3:06:45
It's amazing.
3:06:46
I'm going to the well.
3:06:47
All right.
3:06:48
I'm going to do yours now.
3:06:48
Mine are better.
3:06:49
Mine are much better.
3:06:50
I'm sure they are.
3:06:50
Here's number one.
3:06:52
Hey, who is this woman taking my place
3:06:54
on the show?
3:06:56
Wow.
3:06:57
His voice doesn't sound any good.
3:06:58
It sounds weak.
3:07:00
He's he's tired.
3:07:02
Yeah.
3:07:02
Let's try this one.
3:07:04
Wow, that was a great show.
3:07:06
All of my balls are killing me.
3:07:13
That's got to be over.
3:07:14
There's one more, though.
3:07:15
Well, I got another sponge bath today.
3:07:18
No, no, no, no, no.
3:07:20
Hands down without my balls are killing me.
3:07:23
That's the one.
3:07:23
That is the one.
3:07:24
Everybody, we can't wait to play that at
3:07:26
the end of the show.
3:07:27
But first, it's time for Mimi's tip of
3:07:29
the day.
3:07:40
All right.
3:07:42
It's kind of an off one, but it's
3:07:44
something that I needed desperately this week.
3:07:47
It's called Pan Oxal PM Overnight Spot Patches.
3:07:52
It's for zits.
3:07:54
It's for zits.
3:07:55
Did they come a little star formation?
3:07:57
No, I have a little round ones because
3:07:59
I like those better.
3:08:00
So it manages blemishes and it speeds up
3:08:02
healing and it reduces scarring.
3:08:05
You can get them on Amazon.
3:08:07
They have twelve thousand positive reviews and four
3:08:10
point five stars.
3:08:11
But so do Haribo gummy bears.
3:08:14
They've got twelve thousand positive reviews.
3:08:16
So I don't know if that means anything.
3:08:18
So it's like sixty ninety nine.
3:08:20
You can get four for eighty counts.
3:08:22
You can get it's the best deal.
3:08:24
You can get 40 count for nine forty
3:08:26
nine.
3:08:26
But the companion that's absolutely necessary if you
3:08:30
get blind zits, which are pimples that before
3:08:34
they form a head and they drive you
3:08:36
like with cystic acne.
3:08:38
You can use peach slices, which are deep
3:08:41
blemish micro dart darts.
3:08:44
It has like B3 in it and salicylic
3:08:47
acid and tea tree oil.
3:08:49
And they're kind of expensive.
3:08:50
They're eight dollars and eighty eight cents for
3:08:53
nine patches, but they absolutely work.
3:08:56
And, you know, it's it's it's something that
3:09:01
I'm sure you haven't had this tip before
3:09:03
because John would have vetoed it.
3:09:05
So I'm getting the one.
3:09:06
It's interesting because when Christina was here for
3:09:11
Christmas, I had a zit, you know, I
3:09:14
don't know.
3:09:14
I'm sixty one.
3:09:15
What's going on here?
3:09:16
And she said, oh, no, you got to
3:09:17
get these patches.
3:09:18
And it's the same concept.
3:09:20
And there was a little star and you
3:09:22
put it on your pimple.
3:09:23
And then and the next day it's gone.
3:09:26
Yeah.
3:09:27
No, they're where were these when I was
3:09:29
a teenager?
3:09:30
Hello.
3:09:30
Hello, everybody.
3:09:31
That's that's the real question.
3:09:33
Where were they when we were kids?
3:09:35
We needed them.
3:09:36
But what is it about?
3:09:37
You know, I'm of the age I should
3:09:39
like I thought acne was something from my
3:09:41
past.
3:09:42
Yeah.
3:09:42
It's like what the heck?
3:09:44
But these things are great.
3:09:45
I thought they were nonsense.
3:09:48
But I had this blind one and it
3:09:51
was driving me crazy because it just wasn't
3:09:53
doing anything.
3:09:54
And I was embarrassed to leave the house.
3:09:56
So I got to go to no agenda
3:10:00
fund dot com tip of the day dot
3:10:02
net to get all the details and all
3:10:04
the tips of the day.
3:10:06
Great advice for you and me.
3:10:09
Just a tip with JC and sometimes at
3:10:13
all.
3:10:14
Created by Dana Brunetti.
3:10:16
There you go.
3:10:17
Hey, we made it again, Mimi.
3:10:18
And again, we did the donations.
3:10:20
That's what's doing it.
3:10:21
Like, how can the show be so long?
3:10:23
It's shows too long.
3:10:24
It's too long.
3:10:27
It was lovely speaking with you.
3:10:29
I really it is kind of fun.
3:10:32
Even though it's a lot of work.
3:10:33
It's not a bad gig, huh?
3:10:34
beats beats working in the coal mine.
3:10:38
We're writing cookbooks.
3:10:40
Yeah.
3:10:41
That's for the birds, man.
3:10:44
Hey, John's gonna work on his cookbook while
3:10:47
he's sure.
3:10:48
Okay, yeah.
3:10:49
Well, tell him to finish the vinegar book.
3:10:51
That will be that will it'll be in
3:10:53
the cookbook.
3:10:53
Oh, sure.
3:10:54
Okay, beautiful.
3:10:56
And to show mixes coming up from follow
3:10:58
the monkey from MVP and Jeff and Andy.
3:11:01
Great, great song you guys did.
3:11:03
Next on your no agenda stream if you
3:11:06
are listening to it in a modern podcast
3:11:07
app or no agenda stream calm a walk
3:11:10
through the mind by Sir Billy Bones.
3:11:13
So stay tuned for that.
3:11:15
And we will return on Sunday myself and
3:11:18
the lovely miss em right here on your
3:11:20
no agenda.
3:11:22
And thank you all for supporting the show.
3:11:24
Thank you for being here.
3:11:26
And remember us at no agenda donations.com
3:11:30
until Sunday.
3:11:31
Adios, mofos, hui hui, and such.
3:11:43
Bomb them.
3:11:44
We need to kill them.
3:11:46
Bomb them.
3:11:47
Bomb them.
3:11:48
We need to kill them.
3:11:50
Bomb them.
3:11:51
Bomb them.
3:11:52
We need to bomb them.
3:11:54
We need to kill them and bomb them.
3:11:58
There's a need for a rescue mission.
3:12:00
When the world is threatened.
3:12:02
The world needs help.
3:12:03
It calls on America.
3:12:10
And that's the story.
3:12:12
No sweat off my balls.
3:12:14
Yay!
3:12:44
Walk by now today we rejoice in the
3:12:50
revealing God's operation fury for the enemies of
3:12:54
Israel in the near future.
3:13:33
Is what
3:14:13
a stupid question that is to be asked.
3:14:21
That's
3:14:53
progress and security.
3:15:56
But my balls are killing me.