Cover for No Agenda Show 1725: Artificial Indian
December 29th, 2024 • 3h 16m

1725: Artificial Indian

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0:01
Round 10!
0:03
Adam Curry, John C.
0:05
Devorah.
0:05
December 29, 2024, this is your award-winning
0:09
Cuban Asian Media Assassination Episode 1725.
0:12
This is no agenda.
0:16
Rejecting the jet lag and broadcasting live from
0:19
the heart of the Chichago country here in
0:21
FEMA Region Number 16.
0:22
Good morning, everybody.
0:24
I'm Adam Curry.
0:24
And we're here in Silicon Valley where we're
0:26
all asking the same question.
0:28
Who the hell buys food from Home Shopping
0:31
Network?
0:32
I'm John C.
0:33
Devorah.
0:34
It's Clackvaughn and Buzzkill.
0:36
In the morning!
0:38
The bigger question is, why were you watching
0:41
the Home Shopping Network?
0:43
Oh, I watch it all the time.
0:44
I love the Home Shopping Network.
0:46
QVC and the other one, the big one,
0:48
which is the Jewelry TV, JTV.
0:51
But isn't Instagram and TikTok, they're basically the
0:54
new Home Shopping Networks now?
0:56
I don't know.
0:57
I never bought anything from them.
0:59
Oh, oh, the ladies, they buy everything off
1:01
of Instagram.
1:02
I've never, no.
1:04
No, well, you're not the ladies.
1:05
I'm not the ladies for one thing.
1:06
You're not the ladies.
1:07
No, you're not.
1:07
Maybe I'll catch up.
1:09
You're not the ladies.
1:12
But they're selling breaded chicken cutlets this morning
1:16
on Home Shopping.
1:18
All kinds of food is prepared.
1:21
It's like, why?
1:22
Who's going to buy?
1:23
Oh, all you have to do is heat
1:25
it up, you know, and it's not cheap.
1:27
But this is what has become of our
1:30
intake here.
1:31
It's pathetic, to be honest about it.
1:33
Who's going to buy breaded chicken cutlets from
1:37
Home Shopping Network and then reheat it?
1:40
Well, they're setting you up for their next
1:42
product.
1:43
This next item we have is a special
1:45
discount on Ozempic.
1:47
Yeah, we haven't done that yet.
1:49
It's coming.
1:50
It's coming.
1:52
So the end is near.
1:56
The Skynet is closing in on us.
1:59
Let me tell you about our return from
2:01
Europe.
2:02
Oh, yes.
2:03
Now, OK, well, you have to brief everyone.
2:06
If you haven't listened to the show for
2:07
a while, Adam has been in Europe now.
2:09
He came back during a horrendous moment in
2:13
flight history because all the airports were closed.
2:16
There was there was delays everywhere.
2:18
I was watching the news thing.
2:20
See, I hope Adam gets back in time
2:22
for the show.
2:23
Yeah, no, there was no problem whatsoever.
2:25
Well, good.
2:26
But again, they psyched me out.
2:30
But I will say this about that.
2:34
Facial recognition is here.
2:37
Leaving Schiphol Airport, facial recognition to exit customs.
2:42
That's the EU in most countries, except for
2:45
the United States, of course.
2:46
You have to go through customs when you
2:48
leave so they know you left.
2:49
I've never understood why we don't have that.
2:53
But you walk through a little a little
2:55
gate.
2:57
Good to go.
2:58
Gate opens.
2:59
Walk through.
3:01
Board onto Delta.
3:02
Do you need your boarding pass, your passport?
3:05
No.
3:05
Facial recognition.
3:07
Good to go.
3:08
Come into the United States.
3:10
We came to Atlanta.
3:11
Now, I will say we got global entry
3:13
because the last time we came in, we
3:15
came back from Mexico.
3:17
We stood in line for two hours.
3:18
I'm like, OK, I'm giving up my biometric
3:21
data for this.
3:23
This is crazy.
3:24
I haven't had global entry in at least
3:28
maybe about 10 years.
3:36
And you walk up to the kiosk.
3:38
I have my global entry card.
3:40
I've got my passport.
3:41
No, no, no.
3:43
Go.
3:44
And then you walk up to the customs
3:45
agent.
3:46
He's just waving you on through.
3:47
It's facial recognition all the way through, which,
3:51
of course, means now with the flip of
3:52
the switch, they can block me, stop me
3:55
from going anywhere.
3:57
It was a flip of the switch.
3:58
Yeah.
3:58
It was great on one hand.
4:00
On the other hand, just frightening.
4:03
I had this was I told the story
4:05
in the show before, but about looking back
4:08
at it, maybe almost 15 years ago, maybe
4:10
20, I was in Portugal.
4:12
And I was at some event.
4:17
And the next door to the event I
4:19
was at, there was a tech event of
4:22
sorts for police departments and security experts.
4:29
And they had a facial recognition system there
4:32
that you could play with.
4:37
So and this was like 10, 15 years
4:41
ago.
4:42
And so and it was for it was
4:44
designed for airports.
4:46
And so they you go through it as
4:48
many times as you want to do in
4:49
anything you wanted to do.
4:51
I was going through with my cheeks puffed
4:54
out my hand in front of my face.
4:56
I went through it about 10 times.
4:59
It never missed once it got your original
5:02
face.
5:03
It just you couldn't fool it.
5:05
Yeah.
5:06
And that was the thing that bothered me.
5:08
To this day, I remember that there's nothing
5:12
you could do to fool it.
5:13
You close your eyes.
5:13
You could squint.
5:15
You could lift one eyebrow.
5:16
You could do all kinds of things.
5:17
And it was not being fooled by any
5:19
of it.
5:20
No, I know.
5:21
I know.
5:22
It's it's it's a good technology.
5:24
It's it's quite it's quite remarkable.
5:26
Quite good.
5:27
It's quite remarkable.
5:28
Now, I mean, that since then, they've they've
5:30
determined that even if you wear a mask.
5:33
Oh, well, even the iPhone unlocks with your
5:34
mask on these days.
5:35
Oh, yeah.
5:36
This stuff is good.
5:37
And, you know, your iPhone, of course, is
5:39
taking a snapshot every what?
5:41
Five seconds.
5:42
It's looking to see if you got your
5:44
face in front of it.
5:45
So it's take it's the whole thing.
5:47
It's great, but it's really not great.
5:49
It's not great at all.
5:50
No, it's great because it's onerous.
5:53
It's the word you look for.
5:54
Onerous would be today's word.
5:56
Yeah, it's onerous.
5:58
We don't need this aggravation.
5:59
No, not really happy with it.
6:01
Well, let's stick with aviation, then, since you
6:04
brought it up.
6:04
By the way, since we have this so
6:06
much of this facial recognition, how come they
6:08
can't stop all crime?
6:12
Well, now you've stumped me.
6:15
I don't know if they can stop all
6:16
crime, but they, you know, really catch it.
6:19
They should be able to identify all criminals.
6:21
It's coming.
6:21
I don't understand.
6:23
Many of them are recidivists that came out
6:25
of jail or prisons.
6:26
They obviously took pictures of their faces in
6:28
prison.
6:29
Yeah, so well, they can't seem to do
6:32
it at the border.
6:34
It works great for for people just traveling.
6:38
Yeah, for me, it works great for me.
6:40
Yeah.
6:41
All right.
6:42
The news, let me just I'm just going
6:46
to say I do have a background clip
6:47
on the Azerbaijan thing, if you want to
6:48
play that.
6:49
Well, I'll give you the the latest news
6:51
that came in overnight and then see if
6:52
we play the backgrounder.
6:54
Since the crash of Azerbaijan Airlines Flight 243,
6:58
suspicions have been growing over Russia's involvement.
7:00
On Saturday, the Kremlin said President Vladimir Putin
7:03
had apologized to his Azerbaijani counterpart over the
7:06
phone.
7:06
He admitted that Russian air defense was active
7:09
at the time, but stopped short of taking
7:11
responsibility.
7:12
In the conversation, it was noted that the
7:14
Azerbaijani passenger aircraft, which was following the schedule,
7:18
repeatedly tried to land at the airport of
7:20
Grozny.
7:20
At the same time, Grozny, Mosdok and Vladikavkaz
7:23
were attacked by Ukrainian combat drones and Russian
7:26
air defense systems repelled these attacks.
7:28
The Russian president did not confirm that the
7:31
plane had been hit by a Russian air
7:33
defense missile.
7:34
For experts, however, there is no doubt.
7:36
They say these holes in the plane's fuselage
7:38
are proof of shrapnel from an anti-aircraft
7:41
missile.
7:42
Meanwhile, the president of Azerbaijan, Ilham Aliyev, said
7:45
that the plane was hit in Russian airspace
7:47
by external physical interference, as suggested by survivors'
7:51
accounts.
7:52
Since the crash, which killed 38 people, Azerbaijan
7:55
Airlines has announced that it would be suspending
7:57
flights to eight other Russian cities.
8:00
Other airlines from Kazakhstan, Israel and Dubai have
8:02
followed suit and cancelled flights to Russia.
8:06
So it seems pretty clear they're going to
8:09
blame it on Ukraine because Ukraine was shooting
8:14
drones into Russian airspace and it's their fault.
8:20
They just haven't quite admitted it yet.
8:21
Do we need your background on this?
8:23
I think the background would be good because
8:25
there's some new material that came out just
8:28
before the show from our buddy Doug.
8:32
Doug?
8:32
Oh, Doug the douchebag?
8:34
Doug the douchebag from France 24.
8:37
Where has he been?
8:38
I've been missing him in my life.
8:40
He's around.
8:41
He's back.
8:41
All right, all right.
8:43
I don't remember him being called Doug the
8:45
douchebag.
8:45
Yeah, he's Doug the douchebag.
8:47
The bald douche, yeah.
8:48
Is this the Kazakh air crash?
8:49
The bald douche.
8:50
Russian President Vladimir Putin apologized to the leader
8:54
of Azerbaijan today after the deadly Azerbaijani airline
8:58
crash in Kazakhstan, but he didn't take responsibility
9:01
for the crash.
9:02
In a statement, the Kremlin says it was
9:04
responding to a Ukrainian drone strike in Chechnya.
9:07
And here's Elena Moore reports.
9:09
In a Kremlin readout of the call, Putin
9:11
characterized the crash, which killed 38 people, as
9:15
a tragic incident, apologizing that it happened in
9:18
Russian airspace.
9:20
It comes a day after White House national
9:22
security spokesman John Kirby addressed Russia's potential involvement.
9:27
We do have have seen some early indications
9:30
that would certainly point to the possibility that
9:35
this jet was brought down by Russian air
9:38
defense systems.
9:40
Kirby added that an investigation conducted by Azerbaijan
9:43
and Kazakhstan is ongoing, and the U.S.
9:46
has offered its assistance.
9:48
Where's douchebag Doug?
9:50
No, I don't have the clip.
9:52
I said that was this morning.
9:53
Oh, I'm sorry.
9:54
The background clip is the one that you're
9:55
mixing me up.
9:56
Yeah, yeah.
9:57
What did douchebag Doug say?
9:58
Douchebag Doug came on France 24.
10:00
First of all, they brought the president of
10:02
Azerbaijan this morning, came out and said Putin's
10:05
responsible.
10:06
What we wanted was an apology.
10:08
He didn't give an apology.
10:09
Now what we want is a compensation for
10:11
the lost jet and compensation for all the
10:14
dead people.
10:15
And so he made a demand on Putin,
10:17
which is one dictator to another.
10:19
And this was quite interesting.
10:20
Oh, that is.
10:21
Douchebag Doug comes on and says, well, the
10:24
problem that Putin actually has here is that
10:27
Azerbaijan is the route that the Russians have
10:32
been using.
10:33
You have to go through Azerbaijan because of
10:35
all the sanctions against Russia.
10:37
They can't do this.
10:38
They can't do that.
10:39
They can't fly here.
10:39
They can't fly there.
10:41
Azerbaijan is like the route that Russia has
10:44
to use.
10:45
And so he's got leverage on Putin, and
10:48
Putin's going to have to do something about
10:49
it.
10:49
Well, Putin should say, talk to the Europeans.
10:53
They got 300 billion of our money.
10:56
That would actually be quite funny if he
10:58
could do that.
11:00
Get it from those guys.
11:01
So that's the situation now is that, yes,
11:04
it's Putin's fault.
11:05
The guy says he was very, you know,
11:09
he's very sincere about it.
11:10
Yeah, you can acknowledge this and that, but
11:13
where's the apology?
11:15
He just wants an apology for shooting down
11:17
this plane.
11:18
Because Putin needs to figure out how to
11:21
blame it on Ukraine.
11:24
I think that ship sailed.
11:26
I have a couple of clips.
11:29
I only play one here.
11:30
This is the Russian aviation chief who went
11:34
into a little more detail.
11:35
Now to Kazakhstan.
11:37
And investigations continue into what caused the crash
11:41
of an Azerbaijani passenger plane.
11:44
How old fashioned is this style, by the
11:46
way?
11:46
And now to Azerbaijan.
11:51
I'm always reminded of these old boxing clips
11:55
of the fights in the 30s and 40s.
11:58
And you hear a guy going, round 10.
12:02
This is cornball announcing style that died 20,
12:07
30 years ago.
12:07
Yeah, except that the BBC.
12:09
Now to Kazakhstan and investigations continue into what
12:13
caused the crash of an Azerbaijani passenger plane
12:17
in the country on Christmas Day.
12:19
Representatives of Azerbaijan Airlines speak of external, physical
12:24
and technical interference, but they don't say what
12:27
that could have been.
12:29
38 people died in that crash, but there
12:31
were some survivors.
12:33
The plane had originally tried to land at
12:35
Grozny airport in southern Russia, but was denied
12:38
permission and diverted to Kazakhstan, where it crashed
12:42
near the airport at Aktau.
12:45
Well, the head of Russia's aviation watchdog, Dmitry
12:47
Yadvrov, said the diversion was necessary because of
12:51
a difficult situation around Grozny airport.
12:55
I should note that the situation in the
12:57
area of Grozny airport that day during those
13:00
hours was quite difficult.
13:02
Ukrainian combat drones were mounting terrorist attacks on
13:06
civilian infrastructure in the cities of Grozny and
13:09
Vladikavkaz.
13:11
Because of this, all aircraft had to leave
13:14
the indicated airspace immediately.
13:17
I like the term Ukrainian combat drones.
13:22
I haven't really heard it described that way.
13:24
UCDs, Ukrainian combat drones.
13:26
I like the combat drone.
13:28
Yeah, terrorist attacks.
13:30
Okay, I like that.
13:32
Um, so this seems pretty obvious.
13:35
And I like that we got that douchebag
13:36
Doug info.
13:38
There were, however, two more crashes that I
13:42
think are a little more.
13:43
Yes, yes.
13:44
Well, yeah, the one in Korea is a
13:46
nasty one.
13:46
But then, of course, I think one thing
13:48
that we should mention that we had noticed,
13:51
but we're not going to talk much about
13:52
is the Navy's shooting down of its own
13:55
F-18.
13:56
Well, that would be three crashes.
13:58
I'll skip the Navy's F-18, the 66.
14:02
How much was 66 million?
14:03
66 million dollars down the drain of taxpayer
14:07
money.
14:07
Yeah, now we complain about taxpayer money.
14:10
We always complain about taxpayer money.
14:13
There were two other crashes of note.
14:15
And yes, indeed, the first is the South
14:17
Korean airliner.
14:18
This was a dramatic moment.
14:19
The JG plane carrying 181 people crash landed
14:23
and burst into a ball of flames.
14:26
So far, two people have been pulled out
14:28
alive, but over 100 have been killed.
14:31
Officials said the landing gear of the Boeing
14:33
737 arriving from Bangkok appeared to have malfunctioned.
14:37
Local media reported it may have been caused
14:39
by birds getting into the plane system, combined
14:42
with adverse weather conditions.
14:44
They promise a thorough investigation and rescue operation.
14:47
The airline's CEO has paid tributes to those
14:50
who lost their lives.
14:51
Above all, I would like to express my
14:54
deepest condolences and apologies to the passengers and
14:58
their families whose relatives lost lives in this
15:02
accident.
15:03
Regardless of the cause of the accident, I
15:06
feel responsible as the CEO.
15:08
We at Jeju Air will do our best
15:11
to quickly resolve the accident and support the
15:14
families of the passengers.
15:16
The crash is one of the deadliest seen
15:18
in South Korea.
15:19
It is the first big test for acting
15:22
president Choi Sung-mook, who was named interim
15:24
leader of the country on Friday.
15:27
So just looking at this video right away,
15:29
I'm like, no, no, no, this is not
15:31
a bird strike.
15:34
There's some video of a puff coming out
15:36
of the engine.
15:39
The likelihood of a bird strike causing the
15:42
landing gear to not deploy is unlikely.
15:45
Also, looking at that landing, if you want
15:48
to call it a landing, no, that plane
15:51
was going very fast, had no trim, no
15:55
speed brakes, nothing was deployed.
15:58
So it looked much more like a complete
16:00
hydraulic failure.
16:03
And because, you know, you can actually lower
16:05
the gear on the 737.
16:07
You can pull a lever, a lever, and
16:10
the gear will drop just from centrifugal force,
16:13
from gravity.
16:15
It'll just drop down.
16:17
I don't know if it locks in place.
16:18
It's not a great way to do it.
16:21
But that was not happening.
16:22
If anything, it looked like they were trying
16:24
to do a touch and go and do
16:25
a go around.
16:27
And then, of course, South Korea decided to
16:29
put a very big barrier at the end
16:33
of the runway.
16:33
It's unfortunate.
16:36
It's a day wrecker.
16:38
But the same day, a KLM 737-800,
16:42
same aircraft, flight KL-1204, which you did
16:46
not hear about, overran the runway after a
16:51
diversion to Oslo.
16:53
And they said that they had a hydraulic
16:55
failure.
16:56
Smoke came from the left engine.
16:59
And now they landed okay, but they had
17:01
no control of flaps or landing gear.
17:06
So seeing that this happens on the same
17:08
day, two exact same type aircraft, I'm going
17:14
to say it would be worthwhile to look
17:16
into the latest batch of Boeing aircraft.
17:21
There may just...
17:22
Well, if they're from the same batch, which
17:24
is a possibility.
17:25
This is an old quality control thing.
17:27
You find if, you know, one goes...
17:29
This is the reason that, by the way,
17:31
just to change, I'd say, targets of the
17:35
topic.
17:36
That's why you don't buy...
17:38
When you load up with a raid for
17:40
your hard disk, a bunch of...
17:42
You buy six hard disks.
17:43
You don't buy six hard disks from the
17:47
same...
17:47
No, not from the same vendor.
17:49
No, not the same batch.
17:50
No.
17:51
No, you can get the same vendor, but
17:53
not the same batch.
17:54
Because if one fails, they all fail.
17:56
This is a very common phenomenon in high
17:59
tech.
17:59
And airplanes would be no different, or even
18:01
cars.
18:03
They, you know, when one fails from that
18:05
batch, the ones that came out that week
18:07
or that month or whatever, that weren't, you
18:09
know, before the inspectors came around and did
18:12
their job, you're going to end up with
18:14
a bunch of them failing.
18:15
Yeah, I agree.
18:15
I think you're right.
18:18
And yeah, you know, it's a good time
18:21
to blame everything on birds, you know.
18:23
Ah, it was a bird strike.
18:24
Yeah, bird flu.
18:26
Bird flu, yes.
18:27
And on that note, we do need to
18:29
go through a couple of things because some
18:31
important people have arrived back on the scene.
18:33
We start with the important introduction.
18:35
And we begin with a concerning new CDC
18:39
report on the first severe human case of
18:43
bird flu in the U.S. Samples taken
18:44
from a patient, Louisiana, show mutations that could
18:48
make it easier for this virus to spread
18:51
from person to person.
18:52
Now, right now, there's no evidence it has
18:54
passed.
18:54
No evidence.
18:55
It's been passed along to anyone else.
18:57
And the CDC says risk to the public
18:59
remains low.
19:00
But experts warn a single mutation like this
19:04
could potentially lead to another pandemic.
19:08
Yes.
19:08
And with that, ladies and gentlemen, the No
19:10
Agenda Nation, the pandemic propaganda princess is back,
19:17
scarf and all.
19:18
Joining us now is Dr. Deborah Birx.
19:22
You may remember her as the response coordinator
19:24
for the.
19:25
How does this woman even get on any
19:27
air whatsoever when she already admitted that she's
19:29
a liar?
19:31
I think there's very good reasons for this.
19:33
And as we go through a couple of
19:35
these clips, I shall explain why I believe
19:38
it.
19:39
She, by the way, Commodore Deborah Birx, former
19:44
military, although it's not on her resume, she
19:48
might have specialized in psychological operations.
19:51
She has joined a lot of different outfits.
19:55
She joined that that indoor air filter company
20:01
as the chief scientist or some nonsense like
20:05
that.
20:05
But she's also now just recently joined Texas
20:08
Tech University Health Sciences Center.
20:11
She's on all kinds of boards.
20:13
She's picking up money left and right.
20:15
Just pick some money up here, pick some
20:17
money up there.
20:18
And I'm sure she's on the this is
20:20
CNN.
20:20
I'm sure she's on the CNN payroll as
20:22
an expert to come in and talk.
20:24
You may remember her as the response coordinator
20:27
for the White House Coronavirus Task Force and
20:30
the first Trump administration.
20:32
We are very fortunate to have your expertise
20:34
as we try to figure out what's going
20:36
on with the bird flu and what it
20:37
could mean.
20:38
So, so far, 65 human cases of bird
20:42
flu have been reported in the U.S.
20:44
this year, all contracted by animals.
20:46
But now we have this new mutation in
20:49
Louisiana.
20:50
Wait, wait, wait.
20:51
All contracted by animals.
20:53
She means from animals, doesn't she?
20:55
There's going to be a lot of confusion
20:57
about that, about.
20:59
And now, is it zoonotic or zoonotic?
21:03
It's zoonotic.
21:04
Zoonotic.
21:04
When is it zoonotic?
21:06
It's only zoology.
21:08
Zoology and zoonotic.
21:10
OK, all right.
21:11
But there's going to be a lot of
21:12
confusion about it.
21:12
I did a deep dive on that just
21:15
to get that right.
21:16
I'm glad.
21:17
I'm glad.
21:17
That's why there's two of us.
21:19
How worried should we be?
21:20
How worried should we be?
21:22
It used to be concerned.
21:23
Now, now it's worried.
21:25
How worried should we be?
21:27
Deanna, how worried should we be about bird
21:30
flu potentially becoming another pandemic?
21:33
By the way, they've got a great new
21:34
picture of the bird flu.
21:36
So just like we had coronavirus, we had
21:39
that spiky ball thing.
21:42
The spiky looking thing.
21:44
Spiky ball thing.
21:45
So this is, it looks like five.
21:48
So they've got four cells like circular cells
21:50
all stuck together with a fifth one off
21:53
to the side.
21:54
Just close enough.
21:55
Not quite there.
21:57
Oh, the one that is going to be
21:59
the one mutation away.
22:00
Yes.
22:01
Indicating that that's the one.
22:02
Yes, that's the one.
22:04
Well, I love the way you said 63
22:06
cases because I have no idea how many
22:08
cases there were.
22:09
And now this is cool.
22:10
Well, hold on.
22:10
What?
22:11
She's the expert.
22:13
No, no, no.
22:14
This is a setup because this is the
22:16
same script.
22:17
This is the script that's rolling out.
22:19
Why don't we know?
22:20
What do we need?
22:21
What do we need?
22:21
We need to, we need to.
22:23
Well, I love the way you said 63
22:24
cases because I have no idea how many
22:26
cases there were or are.
22:29
Because our number one principle in preventing pandemics
22:31
is detect.
22:33
And if you go to the CDC website,
22:34
you can see that they're monitoring more than
22:36
10,000 exposures, but they've only tested 530.
22:40
Oh, we need to test.
22:41
What does that mean?
22:42
That means we're not testing enough.
22:44
And we know from other viruses that a
22:46
lot of the spread can be asymptomatic.
22:48
So we're kind of have our head in
22:50
the sand about how to avoid Mary.
22:52
It's the same.
22:53
It's the same script spread.
22:54
This is from the zoonotic standpoint, from the
22:57
animal to human standpoint.
22:59
Now also remember, most of those cases described
23:02
to date happened in the spring and the
23:04
summer, not when we had H1N1 circulating right
23:10
now, when we're running the flu pandemic with
23:14
throughout the United States.
23:16
Did you know we have a flu pandemic?
23:19
She just said that.
23:20
She just said we have it.
23:21
We're running.
23:22
She said we're running the flu.
23:23
Like what is this?
23:25
What are you running?
23:27
Now she says we're running the flu pandemic.
23:30
That's what she said.
23:31
Yes, I don't like the sound of that.
23:34
Not when we had H1N1 circulating right now,
23:39
when we're running the flu pandemic with.
23:42
She even pauses like, what did I just
23:44
say?
23:45
I shouldn't be saying that.
23:46
I just gave it away.
23:47
We're running the flu pandemic right now when
23:50
we're running the flu pandemic with throughout the
23:53
throughout the United States.
23:54
So we have rising flu cases and now
23:57
we have still zoonotic events coming.
24:00
So now you've set up for potentially a
24:03
farm worker getting H5N1, also getting the current
24:07
flu strain and reassorting in that individual.
24:12
Reassorting.
24:12
It's reassorting inside of me.
24:15
To me, that's almost a bigger threat to
24:18
these mutations happening in individuals over time.
24:22
By the way, I'd like to give a
24:23
little tip for our producers out there who
24:25
are looking for some quick money.
24:28
Now is the exact moment.
24:30
You may even be a little bit on
24:31
the late side.
24:32
Get certified.
24:34
There's a whole portal.
24:35
I think CDC has a whole portal.
24:37
You as a commercial entity can get certified.
24:40
Our friends did this.
24:41
Yeah, this is the same script.
24:42
You're doing the other side of the script.
24:45
Yeah, which is the money making side.
24:49
Yeah, get certified as a testing entity.
24:51
And then you just buy up these tests
24:53
really cheap.
24:53
You can get them from Abbott because, of
24:55
course, they already exist.
24:57
Buy them up really cheap.
24:59
And then you can be on the list
25:01
and you can market to all these companies,
25:04
companies who have conferences, I mean, conferences in
25:08
general, annual shareholder meetings.
25:11
And it is a bonanza.
25:14
Remember, you're no agenda show.
25:16
When you say reassorting in that person, what
25:18
does that mean?
25:19
Okay, so the H5 virus, which doesn't adapt
25:23
too well to our upper respiratory track and
25:25
is preventing us from getting infected, but conspecting
25:28
cows and pigs and cats and dogs.
25:32
So our flu, which has the binding sites
25:36
for us, for our nasal passages.
25:39
Viruses are very specific.
25:41
And so they're very animal or human specific.
25:44
Now we have human flu circulating.
25:46
At the same time, we have the zoonotic
25:49
flu circulating.
25:50
And the zoonotic is for our viewers, again,
25:52
the animal flu.
25:53
So we have the animal flu.
25:56
Let's call it the animal flu.
25:57
And now we have human flu.
25:58
Animal flu.
25:59
Co-circulating.
26:00
And at any time, someone could get both.
26:05
But I don't know what she's saying here
26:08
over and over again is if so in
26:12
a human being, you could have the regular
26:14
flu and then the animal flu would combine
26:17
together.
26:18
And you breathe that out and you breathe
26:20
it to someone else.
26:21
And then they get.
26:24
You're right.
26:25
Keep going.
26:26
Well, then they would get the flu.
26:28
Then we'd have a mutation.
26:30
And then we're all going to die.
26:31
Yeah, exactly.
26:32
We're all going to die.
26:34
Co-circulating.
26:35
And at any time, someone could get both
26:38
of those unknowingly.
26:40
Particularly in California, where all the dairy workers
26:43
are getting exposed.
26:45
Flu is rising in the South and into
26:48
California.
26:48
So we should be monitoring carefully that dual
26:52
exposure.
26:53
Because if you get both of the flus
26:55
at the same time, the H5 flu, the
26:59
bird flu could get the genes from the
27:03
human flu and make it infectious to humans
27:06
in the same way that our current flu
27:08
is.
27:10
Okay.
27:11
So that makes sense.
27:12
Well, no.
27:13
She never says anything about raw milk.
27:15
Come on.
27:16
Oh, just patience.
27:17
Patience.
27:20
Now, good news for you.
27:22
Your favorite free item from the government should
27:24
be coming.
27:25
It could become infectious to humans even after,
27:28
even if it's not coexisting with the human
27:31
flu, right?
27:32
Well, if it mutates like it did in
27:34
this individual or in the case in Canada.
27:37
But that sometimes is a random, slower process.
27:40
Okay.
27:41
But if you have that co-infection, then
27:43
you can share genes.
27:45
Okay.
27:45
And that's a really, to me, the spring
27:48
and the summer where we had all of
27:50
the dairy cattle to farm worker exposure, we
27:53
didn't have human flu circulating.
27:55
So now we're entering a much more dangerous
27:58
period, yet we're still not testing.
28:01
And we should be providing tests free of
28:04
charge to dairy farm workers so they can
28:06
test anonymously weekly because they'll want to know
28:10
if they have both cases of potential flus
28:12
co-circulating in their own body to protect
28:15
their families.
28:16
People are very smart.
28:17
I find the American public to be incredibly
28:19
smart.
28:20
If you tell them the risk and you
28:22
give them the tools, they will utilize them
28:25
to protect themselves and their family.
28:27
Sure, they will.
28:28
This, by the way, was like 20 minutes
28:30
she was on.
28:31
They're not horsing around.
28:33
Look, you have bird flu.
28:35
Now let's bring in some more scientific terms.
28:37
You don't think this country has learned from
28:39
the COVID pandemic?
28:41
All right.
28:41
And there's not a sense of urgency right
28:43
now.
28:43
Agencies are making the same mistakes they made
28:45
with COVID.
28:48
The principle, number two principle of pandemic is
28:52
detect.
28:53
And the only way to detect for viruses
28:55
is to test.
28:57
You cannot see a virus through symptoms.
28:59
You miss so many cases.
29:03
She said, well, she said the number two.
29:06
Yeah.
29:07
And then she goes, what was number one?
29:08
Did she ever say?
29:09
Yeah, detect was number one.
29:11
She said that in the first clip.
29:13
She said detect was number one.
29:15
What's number two?
29:17
What did she just say?
29:17
Number two was.
29:19
Detect.
29:19
Well, she's lying.
29:22
Or what did she say?
29:23
Number two is.
29:23
I'm sorry.
29:24
Back it up.
29:25
Okay.
29:25
Hold on a second.
29:27
The principle, number two principle of pandemic is
29:31
detect.
29:32
Yeah, that's interesting because she said earlier, she
29:34
said the number one is detect.
29:36
Well, number one is detect.
29:38
Number two is like marketing, marketing, marketing.
29:41
The three best things, the top three things
29:44
in sales is location, location, location.
29:47
And the only way to detect for viruses
29:49
is to test.
29:50
You cannot see a virus through symptoms.
29:52
You miss so many cases.
29:54
Yet we're still talking about flu-like illness.
29:57
Well, there is no flu-like illness.
29:59
There's RSV, respiratory syncytial virus.
30:02
It causes croup.
30:03
Parents know what that is.
30:05
There's mycoplasma pneumonia circulating right now.
30:08
There's flu circulating right now.
30:10
And soon there'll be COVID circulating.
30:12
Those are all coffee.
30:15
Wait, wait, wait, wait, wait, stop.
30:19
My understanding is based on the same bull
30:22
crap that this woman's pushed out before.
30:25
Yes.
30:25
Is that COVID is a year round thing.
30:28
It was big in the summer, winter, fall.
30:30
It doesn't matter.
30:32
So why is all of a sudden COVID
30:34
becoming seasonal?
30:35
When did that happen?
30:37
I'm asking you.
30:38
You know, I know we both know we
30:40
follow this right from the beginning.
30:41
COVID was non-seasonal.
30:43
They made a big fuss about it being
30:45
non-seasonal.
30:46
Yes.
30:47
So when did it become seasonal?
30:49
Like she just said.
30:51
Well, I'm going to move us along here
30:54
just a little bit so I can get
30:55
to the reason behind all of this.
30:59
Well, I'm sorry, but I'm interrupting on these
31:01
things.
31:02
No, no, no.
31:02
She's full of crap.
31:03
Yes.
31:03
And we have to like stop it when
31:05
it because we can't let this get go
31:07
into the public domain as as as if
31:10
it's changed magically to a seasonal problem.
31:14
Well, this next clip will give us a
31:16
little bit of a clue as to why
31:19
she is doing this and why there are
31:20
others out there doing this.
31:22
And here it comes.
31:24
I want to turn to kind of looking
31:27
ahead to Trump's picks to lead the nation's
31:31
health agencies.
31:32
You know, some of them are controversial at
31:35
HHS.
31:36
You have vaccine skeptic RFK Jr. Also a
31:39
big advocate for raw milk at NIH.
31:43
By the way, the raw milk is relevant
31:44
to the discussions.
31:45
That's why I brought that up.
31:46
Wait, stop.
31:47
I'm sorry.
31:48
I think RFK Jr. When did Kennedy ever
31:51
even mentioned raw milk in any of his
31:53
discussions?
31:54
Have you noticed this?
31:56
I have never heard.
31:59
I listen to as much crap as you
32:01
have, or at least as much as much.
32:04
Yes, as much.
32:05
And I have listened to Kennedy for and
32:06
we both have actually.
32:08
Kennedy from day one years and years ago.
32:10
We've always been admired.
32:11
You know, you can barely hear him.
32:14
I don't remember him mentioning raw milk once
32:17
in his entire spiel.
32:20
How is he now suddenly an advocate?
32:23
Let me just do a quick thing.
32:24
Let me see if we don't have any
32:25
clips, then it didn't happen.
32:28
Nope.
32:29
We have nothing on RFK Jr. And raw
32:31
milk because that's it's not about bird flu.
32:35
It's about it's it's it's already clear what
32:38
this is about at NIH.
32:41
By the way, the raw milk is relevant
32:42
to the bird flu discussions.
32:43
That's why I brought that up at NIH.
32:45
A doctor who criticized covid lockdowns at FDA,
32:49
a doctor who said the government was the
32:51
quote greatest perpetrator of misinformation during covid.
32:56
Do people like this concern you about our
32:58
preparedness for another pandemic?
33:00
What's your take?
33:01
Are you are you starting to hear what
33:03
this is about?
33:03
Are you starting to understand what this is
33:05
really about?
33:06
This is not about bird flu.
33:07
This is about RFK Jr. This is a
33:11
hit job.
33:11
And who shows up on CBS Face the
33:13
Nation?
33:14
Our other prop pandemic propaganda princess, Lena, when
33:19
something called reassortment, where things change because of
33:22
one illness becoming another illness through reassortment of
33:27
a mutated same script.
33:30
Reassortment.
33:31
I've never heard of reassortment.
33:34
This is never heard of this in my
33:35
life.
33:36
Brand new brand new combined age of way
33:39
over 100.
33:40
And it's like we do not have these
33:42
things in the background.
33:43
It's like RSV over a way over a
33:47
standby.
33:47
Lena, when will unpack virus?
33:49
That's right.
33:50
So the viruses could exchange genes.
33:52
You could develop a new hybrid virus.
33:54
And if you have a virus that's more
33:56
contagious and causes more severe disease, that's when
34:00
it becomes a major threat to humankind.
34:02
What should be happening in the Biden administration
34:04
right now that isn't going on?
34:06
Yeah, there are two main things that they
34:07
should be doing in the days that they
34:09
have left.
34:10
The first is to get testing out there.
34:12
I feel like we should have learned our
34:13
lesson from covid that just because we aren't
34:15
testing, it doesn't mean that the virus isn't
34:18
there.
34:18
It just means that we should be having
34:21
rapid tests, home tests available to all farmworkers,
34:24
same script, their families for the clinicians taking
34:27
care of them.
34:28
By the way, Lena, when also no longer
34:29
in government service, these people don't work for
34:32
the government anymore.
34:33
She is now, in fact, a contributor to
34:36
CNN.
34:36
And in this case, CBS face the nation
34:39
so that we aren't waiting for public labs
34:42
and CDC labs to tell us what's bird
34:44
flu or not.
34:45
And the second very important thing is this
34:47
is not like the beginning of covid where
34:48
we were dealing with a new virus.
34:50
We didn't have a vaccine.
34:52
There actually is a vaccine developed already against
34:54
H5N1.
34:55
The Biden administration has contracted with manufacturers to
34:58
make almost five million doses of the vaccine.
35:02
However, they have not asked the FDA to
35:04
authorize the vaccine.
35:05
There's research done on it.
35:07
They could get this authorized now and also
35:09
get the vaccine out.
35:10
So and to farmworkers and to vulnerable people.
35:13
I think that's the right approach because we
35:15
don't know what the Trump administration is going
35:17
to be doing around bird flu.
35:18
If they have people coming in with anti
35:20
vaccine stances, could they hold up vaccine authorization
35:23
if they don't want to know how much
35:26
bird flu is out there?
35:28
Could they withhold testing?
35:29
I mean, that's a possibility.
35:31
And I think the Biden administration in the
35:33
remaining days should get testing and vaccines widely
35:36
available so that at least it empowers state
35:39
and local health officials and clinicians to do
35:42
the right thing for their patients.
35:43
This has been the whole thing all along.
35:47
This is it.
35:48
It's about RFK Jr. Mainly.
35:50
But there are others.
35:51
Here's MSNBC.
35:53
We don't have enough to worry about during
35:55
this cold flu covid season.
35:57
Cold flu covid.
35:57
We're in news about bird flu.
35:59
CDC says the virus now shows new mutations
36:03
that may make it easier for the infection
36:05
to be spread from person to person.
36:07
And that increases the risk of a wider
36:09
outbreak of bird flu.
36:11
Or even potentially a pandemic.
36:14
The concerns over bird flu are rising just
36:17
as we are on the verge of Senate
36:18
confirmation hearings for Robert F.
36:20
Kennedy Jr. as secretary of Health and Human
36:22
Services, which could begin in the first or
36:25
second week of January.
36:27
It's coming up.
36:27
Kennedy's anti vaccine stances are well known and
36:30
deeply troubling for someone who would run the
36:32
federal agency responsible for protecting the health and
36:35
well-being of all people living in the
36:38
United States.
36:39
But it's not just Kennedy who was a
36:41
concern.
36:42
It's the people he would bring on board
36:43
with him, like a raw milk producer in
36:46
California whose products have been recalled due to
36:49
bird flu contamination.
36:50
This guy says Kennedy's team has asked him
36:53
to lead the nation's policy on raw milk.
36:56
This is a bogus, bogative, complete bull crap
37:01
set up for the confirmation hearing, which will
37:07
be filled with bird flu nonsense.
37:09
Are you an anti-vaxxer?
37:11
If we have vaccines ready to go, are
37:14
you going to stop the vaccine?
37:15
Are you going to stop testing?
37:16
Are you going to kill Americans?
37:18
It's a 50% death rate.
37:21
That's what this is about.
37:23
And I take us back to one of
37:25
your clips from episode 1725, McCullough talking about
37:29
the vaccines that are good to go.
37:32
You know what they were doing, Dave?
37:32
They were doing experiments in Mallard ducks, migratory
37:36
waterfowl.
37:37
What a mistake.
37:38
One of those guys gets out.
37:40
They fly everywhere.
37:41
You know, the media has not been asking
37:43
the question, why did it spread from Texas
37:45
to Iowa to Michigan?
37:49
How did this happen?
37:50
They didn't ask the question.
37:51
They just think it's spontaneously arising.
37:53
No, it's being spread by the ducks that
37:56
are flying all over.
37:57
The ducks!
37:58
Wow.
37:59
And do we have any recourse to be
38:01
able to stop this or sue this lab
38:03
for spreading a migratory bird with a novel
38:07
disease?
38:08
All these experts are saying we have to
38:10
get ahead of nature.
38:11
That's what Disease X researchers said.
38:13
We have to get ahead of nature.
38:14
We have to make it invade humankind and
38:17
then come up with vaccines.
38:19
So Disease X vaccines, the Coalition for Epidemic
38:23
Preparedness and Innovation, that's that global center founded
38:27
by Gates Foundation, World Economic Forum.
38:29
They have an entire over 100-page white
38:31
paper on Disease X.
38:33
They said the whole reason to study Disease
38:34
X is to have a Disease X vaccine.
38:37
Sure enough, with bird flu, CSL Sequarius, a
38:41
biotech company, has the Auden's vaccine.
38:44
It was FDA-licensed in 2021 with no
38:49
human data, ready to go for bird flu.
38:52
They developed it with BARDA, a research unit
38:55
of the military, 2021.
38:57
And now the U.S. has purchased enough
39:01
doses for millions of administrations.
39:03
Why would the U.S. military be developing
39:06
a bird flu vaccine?
39:08
For warp speed, too.
39:10
I'm telling you.
39:11
You know how there were these reports about
39:13
a week ago that Biden interrupted his holiday,
39:18
came back to the White House, and Vice
39:21
President Harris came back to the White House,
39:24
and, oh, what's going on?
39:26
They're setting it up.
39:27
They're setting it up for, I don't know
39:29
if they're going to get it, to do
39:31
a warp speed, get the vaccine out there.
39:33
They have it.
39:34
They have a vaccine.
39:35
It's clearly going to be...
39:36
Yes, that's the vaccine they were talking about
39:38
in both those clips.
39:39
Yes, it's clearly mRNA-based.
39:42
I'm sure of that.
39:43
I don't know about that.
39:45
Why not?
39:47
Well...
39:47
Why not?
39:48
I think it's because it predates mRNA.
39:53
2021?
39:55
Well, no, it predates the popularity, which came
39:57
later.
39:58
It's hard to say.
39:59
Well, it's almost irrelevant.
40:01
Whatever it is, it's crap.
40:02
This is all about Kennedy.
40:04
It's all about discrediting him in the midst
40:07
of a possible...
40:08
We're one mutation away from a new pandemic.
40:12
How dare you, sir?
40:13
How very dare you be an anti-vax?
40:16
How dare you want to slow down vaccines?
40:20
Big Pharma is smart.
40:22
And look at the people they got.
40:24
Oh, here's the meeting.
40:26
All right, we gotta get this Kennedy guy's
40:28
a problem.
40:30
You know, let's get Burks and Wynn.
40:32
Yeah, people remember them.
40:34
When they come on, it's like, oh, yeah,
40:35
well, she told us she was right.
40:40
This is what's going on.
40:44
I can't see it any other way.
40:46
Well, this doesn't help Kennedy's cause.
40:50
This is Kennedy's.
40:51
This is a Kennedy clip on the Amish.
40:53
Oh, hold on a second.
40:54
Kennedy.
40:57
Yes, got it.
40:58
There was a researcher, a writer named Dan
41:01
Olmsted, and he was very curious about unvaccinated
41:05
populations.
41:06
And the Amish are one of those populations.
41:09
So he went and he did a study
41:12
of the Amish in Lancaster, Pennsylvania, Lancaster County,
41:16
Pennsylvania.
41:17
And there should have been, I think, about
41:19
if it was following the national trends, there
41:24
should have been about 2000 autism cases.
41:28
And they were able to find three.
41:32
And all of them were children who had
41:36
been adopted by the Amish after receiving their
41:39
vaccines.
41:41
So of the of the Amish in general,
41:44
they could not find any.
41:47
And this is true in other places around
41:49
the world.
41:50
There's a you know, there's a link between
41:52
that.
41:52
And I do not believe that autism is
41:55
just caused by vaccines.
41:56
I think there's very strong evidence that that
41:59
it is one of the major causative factors.
42:02
But all of these diseases are linked.
42:04
They all operate along the same biological pathways.
42:09
And they're caused by a stress to our
42:11
mitochondria.
42:12
And we're stressing the mitochondria through many, many
42:15
factors.
42:16
So the air we breathe mainly through the
42:19
foods we eat, but also some of the
42:21
medications that our kids taking are contributed to
42:23
it.
42:24
Yeah.
42:25
So they added in the meeting, they added
42:28
another kicker because, you know, like so these
42:33
people, you know, they may not believe it.
42:35
They're they're not going to fall.
42:37
They're going to say we're not falling for
42:39
this nonsense.
42:39
Again, those idiot podcasters, Curry Dvorak will probably
42:43
be telling their audience of hundreds of thousands.
42:48
And I know what we'll do.
42:50
Hey, yeah, yeah, yeah.
42:51
Let's let's scare the people with something they
42:53
really care about, which is not humans.
42:56
Cat food brand is issuing a recall after
42:58
at least one cat contracted bird flu and
43:01
died.
43:02
Northwest Naturals is recalling their two pound raw
43:04
and frozen feline turkey cat food.
43:07
Infected batches have best if used by dates
43:10
of May 21st, 2026 and June 23rd, 2026.
43:14
If your pet ate the recalled food and
43:17
starts displaying any symptoms, contact your vet immediately.
43:23
You need help seeking behavior for your pet.
43:26
Yeah, this is this is what we would
43:29
have done.
43:30
Yeah, yeah, yeah.
43:31
Tell me it's probably not a bad approach.
43:34
Tell them it'll kill the cat.
43:35
We did have one of our raw milk
43:37
guys right in.
43:39
We should mention.
43:40
Yes, I have his note.
43:41
Yeah, I want you.
43:42
That's a good note.
43:43
You want to read it?
43:44
Yeah, sure.
43:44
I don't have the fun.
43:46
OK, our farmer here in Pennsylvania is forced
43:50
to label certain raw dairy products as only
43:53
suitable for cats and dogs due to government
43:56
regulations.
43:57
It's how the small farms are able to
44:00
skirt the idiotic raw dairy regulations.
44:05
And then he has an email below.
44:07
But so I didn't know this, that if
44:10
you get raw dairy products from farmers, they're
44:14
often labeled as food for your cat and
44:17
your dog so they can get around the
44:20
regulations.
44:23
What is actually not a regulation is a
44:25
prohibition in those cases, the regulations that allow
44:30
for raw milk in the states that allow
44:31
raw milk.
44:32
Some states just say, no, it's illegal.
44:34
You can't you can't sell it.
44:35
Yeah.
44:35
But the states that do so, they have
44:37
a lot of regulations and they they're super
44:39
inspected.
44:39
Their milk is much cleaner than normal milk.
44:42
And it's a good product that we have
44:44
that in California.
44:45
We have Washington state has these these abilities.
44:48
You can do that.
44:49
Yeah.
44:49
And but he makes him.
44:52
This is why another mentioning the cats getting
44:55
sick and the dogs getting sick because it
44:57
could be the raw milk in there.
44:59
This is just the whole thing is I
45:01
don't understand what they're to this day, even
45:04
though you've tried to explain it or you
45:06
think you have some ideas about it.
45:09
Why is there such a prohibition on raw
45:11
milk?
45:13
It seems to me that the I've talked
45:16
about this on the show before.
45:17
The reason we don't have your radiated food,
45:19
if you want to really get good at,
45:22
you know, let me let me tell you
45:23
something about the milk lobby.
45:25
Let me tell you about how powerful these
45:27
guys are.
45:28
In nineteen eighty five.
45:31
Now, this is not the American milk lobby,
45:33
but I'm sure it's the same everywhere.
45:35
I was working in the Netherlands and it
45:39
was very difficult.
45:40
The commercials on television, you know, we were
45:44
we were being broadcast in public.
45:45
This was Countdown, the music television show when
45:48
I first started, when I was 19.
45:49
So now I'm 20 years old, 21, 85.
45:55
And you can't just put native ads in
45:58
stuff.
45:59
But we were produced by an independent producer.
46:01
So there were ways kind of around it.
46:05
And they so they made a deal with
46:08
the milk lobby, and the deal was that
46:11
I would drink from a glass of milk
46:14
during every single interview.
46:16
So if you go back and you look,
46:18
I'm literally interviewing Mick Jagger.
46:20
He's sitting there with a with a beer
46:22
and I'm with a glass of milk.
46:24
I'll ask a question.
46:25
He starts answering.
46:26
Then you see me drinking a glass of
46:28
milk.
46:29
There was so much money which they couldn't
46:31
they couldn't pay me for it.
46:33
So I said they gave me a car.
46:36
The milk lobby is very powerful.
46:40
So it's in their best interest to get
46:42
rid of raw milk.
46:44
But what's wrong with raw milk?
46:46
It would be part of the same lobby.
46:48
No, that's milk.
46:49
They don't want you getting a direct from
46:52
the cow.
46:54
You have to go through their packaging, their
46:56
system, their sales channel.
46:58
They can do the same.
47:00
I don't see any difference.
47:01
The only difference is that one stage is
47:04
eliminated.
47:05
Actually, two stages are eliminated.
47:07
It's more highly regulated.
47:10
And the stage of pasteurization is missing.
47:16
But it's still milk.
47:17
It's still packaged.
47:17
It goes into a carton or it goes
47:19
into a bottle.
47:20
I mean, I don't see why they wouldn't
47:21
be making money off of this of them.
47:23
And you maybe have to join the milk
47:25
lobby.
47:25
I don't know.
47:26
It just doesn't make sense to me.
47:27
Do you remember all the celebrities got milk?
47:30
Yeah.
47:31
What's that got to do with raw milk?
47:33
They could be doing the same thing with
47:34
raw milk.
47:35
Because you don't go into the store and
47:37
buy raw milk.
47:38
Do you get raw milk from the store?
47:40
Yeah, of course you do.
47:42
We don't get it from the store.
47:43
I get it from the store.
47:44
I can get it from Monterey Foods.
47:46
I can get it from Andronicos.
47:47
Up north, the Sunny Farms store sells the
47:51
raw milk that you can also go buy
47:54
at the store.
47:55
Where do they get it from?
47:56
I'm sorry.
47:57
We'll just have a disagreement on this.
47:59
But to me, it seems like the milk
48:01
system includes pasteurizing, doing their whole bit, packaging
48:07
it, putting all their flashy things on.
48:09
It's a whole business.
48:11
They're not in the raw milk business.
48:12
There's some.
48:14
But I think most of them.
48:16
One's pasteurizing.
48:17
One's not.
48:18
Yes.
48:18
I think you're wrong.
48:19
Well.
48:21
Someone will buy it at the store.
48:24
Yeah, but it's small producers.
48:26
It's not big milk.
48:29
I mean, it's not big milk.
48:31
That's for sure.
48:31
OK, it's the same.
48:32
If you're just going to go with everything,
48:35
big farm, a big milk, you can't have
48:36
any small farms that are trying to shut
48:38
the small farms down.
48:40
And they're trying to run them out of
48:41
business like they're doing in England and Netherlands
48:43
and here to some extent.
48:45
OK, if you're going to go with that,
48:47
that argument, I can't argue against that.
48:50
That's what I'm saying.
48:51
The same for beef.
48:52
They do not want me getting my beef
48:54
directly from the rancher.
48:56
Now, in Texas, we have specific laws.
48:59
The government, the beef lobby and the government,
49:02
they, the beef lobby and the government desperately
49:05
want to stop me from getting my beef
49:08
directly from the rancher.
49:09
In Texas, we have very specific laws where
49:12
we can't do that.
49:12
But they are trying to stop that everywhere.
49:15
They, the beef industry being Cargill and what's
49:19
it?
49:20
Big Al's, what's their name?
49:22
Big Al's, Al Capone.
49:24
Big Al's.
49:26
You know, the guys who bring all the
49:27
beef up from South America, the cheap stuff.
49:32
Argentina, exactly.
49:34
Who knows?
49:34
Do you think your milk is coming from
49:36
an American cow?
49:37
Who knows where it's coming from?
49:40
So, yeah, it's crap.
49:42
It's probably no good.
49:45
That would be the main reason why you
49:46
want raw milk is because you know where
49:48
it's coming from.
49:49
I don't think they want you to know
49:51
where your milk is coming from.
49:52
Well, I will say this.
49:53
When I was a kid.
49:54
There we go.
49:57
We used to have a number of independent
50:00
dairies that were around the area.
50:03
You could actually go get in your car
50:06
and drive to a local dairy and it
50:10
was a drive-through.
50:11
Yeah, sure.
50:12
Like a McDonald's.
50:13
You go in, you drive into the thing,
50:14
you say, I'd like to get a couple
50:15
of quarts of this and they actually have
50:18
buttermilk in these places too.
50:20
And you would get a bunch of milk
50:22
and they go off.
50:23
And we had dozens of these places.
50:28
They were all independent little farms that had
50:30
their own outlets.
50:31
Yes, of course.
50:32
That's the way it was good back in
50:35
the day.
50:35
Everything was much better when you were a
50:37
kid, even when I was a kid.
50:39
These days, it's a big, big system.
50:43
And they don't want you interrupting their system.
50:46
They.
50:48
I'm saying they, the they, the milk lobby.
50:52
They don't want you being smart and getting
50:55
your milk from a good provider.
50:58
They don't want you knowing that.
50:59
No.
51:01
So, yes.
51:01
I'm not going to, that argument's a little
51:03
better than the other one.
51:04
That's the same argument.
51:05
I thought I was making the same argument.
51:07
No, I'm not seeing it.
51:09
Okay.
51:09
Well, this is my argument now then.
51:11
That is, this is not in their interest.
51:15
Their, their interest.
51:17
They, so in other words, here, here's what
51:19
you're saying.
51:20
Some little, like you're doing with your buying
51:22
beef from that, that Texas guy.
51:24
K and C.
51:25
Yeah.
51:26
Yeah.
51:26
So because you are buying beef from some
51:31
small provider and this guy's eking out a
51:34
living or making good money, who knows?
51:36
You don't know.
51:37
But let's say he's making good money even.
51:39
But he's got his, but he's a small
51:41
guy.
51:41
So he, you know, has X number ahead
51:43
of cattle, which is one, one hundredth of
51:45
what a big boy would have.
51:47
And this is a big threat to them.
51:50
Oh my God.
51:51
This guy is going to buy a quart
51:53
of raw milk.
51:54
What are we going to do?
51:54
This is going to ruin our business.
51:57
This is part of what I don't get.
51:59
Oh, okay.
52:00
Well, allow me to explain.
52:01
It's called the internet.
52:03
And so we started buying from K and
52:05
C cattle, even in our own community.
52:07
Now, when we order 10 families order at
52:10
the same time, they drive it up here.
52:13
They don't charge us anything for shipping.
52:14
It shows up here.
52:15
It's, it's, it's an excellent product.
52:18
If those 10 families tell 10 other families,
52:21
if this spreads out, they are, they are
52:24
very cautious about anybody getting a clue, particularly
52:29
milk.
52:29
The difference between milk that you buy in
52:32
the supermarket and raw milk is significant.
52:35
I mean, you'd taste raw milk.
52:38
You're like, this is a dynamite product.
52:41
True or not.
52:43
It's like, it's like eggnog.
52:45
That's so good.
52:47
So yes, they protect, they protect their business
52:50
and they've been doing this for quite a
52:52
while.
52:53
And so just be quiet, little farmer.
52:56
No, they don't want any of that.
52:57
They don't want any of that.
52:59
Yeah.
53:00
It's the same.
53:01
Why did, why did Google, the big and
53:04
powerful and mighty Google, why did they kill
53:06
RSS reader?
53:08
Because they didn't want people using it.
53:11
Use our social media, which of course failed.
53:15
What was that again?
53:16
Google plus with the circles, with the circles,
53:20
with the circles.
53:21
Google something that was bad.
53:23
They ended it.
53:24
They took it out of the browsers.
53:26
You can't get RSS in the browsers anymore.
53:28
No.
53:29
In fact, we don't want you using a
53:31
browser.
53:31
We're going to obfuscate that you're using a
53:33
browser.
53:34
It's search.
53:36
Look, I don't know if you've looked at
53:37
an iPhone recently, but when you open up
53:41
Safari, it makes it look like it's a
53:43
search, a search product.
53:45
And I tell people, you know, go to
53:47
curry.com.
53:48
They'll type in curry.dot.com.
53:51
And then it brings up a search.
53:53
And the competing products, DuckDuckGo, exactly the same.
53:57
They don't see that as a browser anymore.
53:59
They don't want you using browsers.
54:01
They don't want it for this, for the
54:04
very reason.
54:05
They want you using apps, apps.
54:09
Yeah, I think.
54:11
And so this is more about knowledge and
54:13
people sharing this knowledge on Reddit or God
54:17
forbid, God forbid, TikTok.
54:20
Yeah, no, this is a pure, purely a
54:24
defensive move.
54:25
And they will continue to do that.
54:26
What else do they have?
54:27
If you're sitting on top of the stack,
54:29
you're big milk.
54:30
I got nothing to worry about.
54:33
You know, why, why even advertise?
54:39
No, you're the milk guy.
54:41
I think there's lots of reasons why they
54:43
don't want this.
54:45
This just don't get hip to it.
54:50
And I think.
54:51
All right, you may continue with your clips.
54:52
Well, I think I'm done.
54:54
I mean, I have more clips, but it's
54:56
all kind of the same thing.
54:57
I think we figured it out.
55:00
The whole idea here is to discredit Trump's
55:06
medical nominees, in particular, RFK Jr. And with
55:12
the confirmation hearings coming up before the inauguration,
55:17
that's the way I understood it.
55:19
And I think it is happening in the
55:21
next few weeks.
55:22
It'll be before January 20th.
55:24
This is, you know, they will try to
55:26
do anything that they they probably in cahoots
55:30
with the Biden administration, whatever's left of it,
55:32
whoever is running it, who are all going
55:35
to go into the big milk lobby after
55:36
they get kicked out of the White House.
55:38
They're going to do whatever they can to
55:40
scare everybody.
55:42
It's a good time.
55:42
You will get a lot of people are
55:43
going to get kicked out.
55:44
But this is a good time to identify
55:46
the bad actors in the of the appointees
55:49
or the ones No, the appointees, you have
55:52
to put up with that, whatever you think.
55:54
But the bad actors in Congress.
55:57
Yes.
55:58
Yeah.
56:01
That'll be the ones when we hear the
56:03
questioning, we'll know exactly who they are.
56:05
You'll know exactly where they're coming from when
56:07
Kennedy will be the lightning rod.
56:09
Yeah.
56:09
Yeah.
56:10
And he'll probably go first.
56:11
I would say that's the one they're going
56:13
to do first.
56:14
Well, he'll get in.
56:16
Well, I think Secretary of State's a little
56:18
more important.
56:19
They're probably going to do those first.
56:21
Kennedy is probably down the line.
56:23
They don't want to make it too obvious
56:24
what they're up to.
56:26
No one ever gave them credit for being
56:28
smart or obtuse.
56:30
I don't think so.
56:31
I think they'll well, we'll see.
56:33
But I don't know what the actual schedule
56:34
is.
56:35
The irony to this whole thing with Kennedy
56:37
is that it's the left who have always
56:41
been the skeptics.
56:43
I mean, traditionally, until the Obama machine came
56:45
around.
56:46
But traditionally, the left has always been the
56:49
health food nuts and all the types of
56:51
people that were skeptical about this, that, and
56:53
the other thing.
56:54
And they're the ones who would be in
56:56
support of Kennedy, curiously, which are the Democrats.
57:00
And so they're between a rock and a
57:02
hard place in terms of the philosophy of
57:05
life, basically, with Kennedy.
57:08
And they're going to have to deal with
57:10
their constituents on this.
57:13
Kennedy is not just a pick of Trump
57:15
and the Republicans that want to see some
57:18
changes made.
57:19
He's also a hero of a large contingent
57:23
of the left.
57:26
Yes.
57:28
This is a rough go for them.
57:31
Can you explain recess appointments?
57:35
Yeah.
57:36
How does that happen?
57:37
And what period does that take place?
57:39
They're trying to shoehorn Kennedy in quick before
57:42
that's even a possibility.
57:44
Well, they can't shoot him in until he's
57:45
president.
57:46
Recess appointments, you can dissolve in a kind
57:51
of an emergency way.
57:53
You can close the Senate and make him
57:57
go on vacation for, I think, there's a
58:00
minimum period involved, like a week or something
58:03
like that.
58:03
And in that timeframe, based on some recess
58:08
appointments that other people have done in the
58:09
past, you can just appoint members to the
58:12
Cabinet because there's nobody to vote against them.
58:16
Right.
58:17
It's a tricky maneuver that Trump has threatened
58:21
to do.
58:23
And there's a counteraction to it that I'm
58:26
not familiar with.
58:27
I don't know the details of how it
58:29
works, but there's a counter move that can
58:31
be done if the Senate is really adamant
58:36
about it.
58:36
But they'd have to be controlled by the
58:38
Democrats to pull that off.
58:41
Well, and so that would make even more
58:42
sense to do it before Trump is even
58:44
in and can do a recess appointment, at
58:46
least to get the conversation going.
58:48
You can't appoint anybody until he's in.
58:49
No, but you can do the confirmation hearings.
58:51
You can start them now.
58:53
I don't think so.
58:56
I'm looking for a start date.
58:58
I haven't been able to find anything.
58:59
I think it all begins on the 20th.
59:04
Because he's up on the Hill now drumming
59:07
up support.
59:08
Yes, that's what you do in advance of
59:10
the hearings.
59:11
Yes.
59:11
Yeah.
59:12
Yeah.
59:12
You go from...
59:13
He probably has Fetterman in his camp.
59:17
That's the one Democrat.
59:18
And he's probably lost about...
59:20
He probably lost the super rhinos, Collins, Murkowski
59:26
in Alaska.
59:27
Confirmation hearings for Trump's cabinet nominees are expected
59:31
to begin during the 119th Congress, which starts
59:34
on January 3rd.
59:37
Okay.
59:38
The Congress starts earlier.
59:39
Okay.
59:40
Okay.
59:40
That's good to know.
59:42
So it can start and it will start.
59:45
Yeah, it will start because Trump wants to
59:47
hit the ground running on the 20th.
59:49
Yeah.
59:50
And so...
59:50
Okay.
59:50
So they will have these things.
59:51
The bad actors in the Republican Party, which
59:55
includes Susan Collins and Murkowski and...
1:00:00
There's a bunch of them.
1:00:00
Two or three dudes that are real assholes.
1:00:04
I can't remember their names.
1:00:05
But those dudes, they're no good.
1:00:09
And so he's gonna have to pressure them.
1:00:12
And I still think, and I've said this
1:00:13
before and I'll say it again, over and
1:00:15
over that Trump does have leverage over Big
1:00:19
Pharma, who's gonna be pushing hardest.
1:00:21
Against Kennedy, which is by executive order, he
1:00:26
can end TV advertising.
1:00:29
Yeah.
1:00:30
And if he does that...
1:00:32
That will stop the help-seeking behavior.
1:00:35
That will...
1:00:36
We can't have that.
1:00:38
That will damage the pharma, Big Pharma, and
1:00:41
it will damage the media.
1:00:44
Okay.
1:00:46
Then, anyway, I'll close this topic unless you
1:00:51
have anything else by saying, this is bullcrap.
1:00:55
This is about discrediting Kennedy and others in
1:00:58
advance.
1:00:59
And maybe drumming up a little more pandemic
1:01:02
fear, especially that it can now get to
1:01:05
your pets.
1:01:05
Because that's what people care about.
1:01:06
That's how Trump won.
1:01:08
That's how Trump won the election.
1:01:09
They're eating the dogs.
1:01:11
They're eating the dogs.
1:01:13
Everybody knows that that is now, that's the
1:01:17
way to go.
1:01:17
They're eating the dogs.
1:01:19
That's what you need.
1:01:20
You need to focus the American people on
1:01:23
their pets and you win.
1:01:26
Now, the next thing, which I don't know
1:01:29
if you have any clips on this, but
1:01:30
I'll play the intro, is what's really been
1:01:34
heating up.
1:01:35
This is the MAGA Civil War.
1:01:37
Not the world is at war with itself,
1:01:40
thanks to a breaking point between multi-millionaire
1:01:42
tech bros and Donald Trump's anti-immigrant loyalists.
1:01:45
This week, Trump's pick for senior policy advisor
1:01:48
on AI, an Indian-American venture capitalist, was
1:01:51
hit with racist backlash.
1:01:54
Then MAGA loyalists erupted even more after Doge
1:01:57
co-chair Vivek Ramaswamy defended foreign-born workers
1:02:00
in tech by blaming American culture for prioritizing
1:02:03
bronze over brains.
1:02:05
In summary, Axios explains, quote, the fight exposes
1:02:09
one of the MAGA movement's deepest contradictions.
1:02:11
It came to prominence chiefly via the white,
1:02:14
less-educated working class, but is now under
1:02:17
the full control of billionaire technologists and industrialists,
1:02:21
many of them immigrants.
1:02:23
Yes, many of them immigrants.
1:02:25
Now, this is being played in multiple ways
1:02:27
across the media, and I think there are
1:02:30
some...
1:02:31
We actually...
1:02:32
I have thoughts on this.
1:02:33
Yeah, we have.
1:02:34
Well, we've discussed this a lot in the
1:02:35
past.
1:02:37
Just for sake of color, I will play
1:02:41
the...
1:02:41
This was an intro to MSNBC segment.
1:02:46
They're so stupid.
1:02:47
They're playing this as a racial issue.
1:02:50
And speaking will be Simone Sanders.
1:02:55
She's the black woman who actually ran the
1:02:57
Bernie Sanders campaign.
1:02:58
She's on all the MSNBC morning shows.
1:03:01
She's kind of the yin to Joy Reed
1:03:03
Yang.
1:03:04
And the former RNC president...
1:03:09
What's the guy's name?
1:03:10
Michael...
1:03:10
The name Michael?
1:03:11
Michael Steele.
1:03:12
Michael Steele.
1:03:13
And they, for some unknown reason, decide to
1:03:17
go all black culture speak on this issue.
1:03:20
Honey, the girls are fighting.
1:03:23
The girls are fighting.
1:03:25
So let me get this straight.
1:03:26
So Vivek Varunaswamy, I mean, he just didn't
1:03:29
write a tweet.
1:03:30
He wrote a...
1:03:31
Screed.
1:03:31
It was a screed.
1:03:32
Screed.
1:03:33
I mean, it just went on.
1:03:35
And he laid out, basically, y'all white
1:03:38
folks out here should have been focused on
1:03:40
doing a little bit more Urkel than anything
1:03:44
else.
1:03:45
Less Stefan.
1:03:45
Less Stefan.
1:03:47
You know, and it's just...
1:03:49
Simone, I'm just...
1:03:50
I'm tickled.
1:03:52
I'm tickled by this.
1:03:53
Who would have saw this coming?
1:03:55
Well, I mean, definitely not the folks that
1:03:58
voted for Donald Trump and the American worker
1:04:00
and centering American workers.
1:04:01
Look, this is, you know, my mother told
1:04:04
me, it's just some business that don't involve
1:04:07
you.
1:04:07
You don't need to step in it.
1:04:08
So I've just been watching because this is
1:04:11
what happens.
1:04:12
To be very clear, Elon Musk and Vivek
1:04:14
Varunaswamy, weren't they foreign born workers?
1:04:18
Yeah, yeah, they got here on a visa.
1:04:21
Elon Musk say he here because of one
1:04:23
of them visas.
1:04:24
And now I believe he's an actual American
1:04:27
citizen.
1:04:28
But like, let's just be very clear.
1:04:29
There's nothing wrong with people who are not
1:04:33
from this country coming here, making a better
1:04:36
life, contributing to the American fabric.
1:04:39
OK, that's something I fundamentally believe in.
1:04:41
America is a land of the free, home
1:04:43
of the brave, all that good stuff that
1:04:44
Elon Musk was tweeting about.
1:04:45
However, please don't come for Americans.
1:04:49
And I just, I would like, let's be
1:04:50
very clear, I would like white Americans to
1:04:51
stand up.
1:04:52
This is your calling card, honey.
1:04:54
Where's your banner?
1:04:55
Because they coming for you.
1:04:56
They said y'all white and lazy.
1:04:58
That's crazy.
1:04:59
That's right.
1:05:00
That's crazy.
1:05:01
Two snaps, girl.
1:05:04
Idiotic.
1:05:05
So I'm glad you got that clip.
1:05:07
Kind of.
1:05:08
I wasn't going to get these clips.
1:05:10
There was a bunch of them.
1:05:10
They're all came from the left.
1:05:12
The other side of the argument, in other
1:05:15
words, the people that did support Trump.
1:05:18
Nobody has gotten upset about this or said
1:05:21
much about it.
1:05:22
It's all on MSNBC and CNN.
1:05:25
It's a complete creation trying to sow discord
1:05:30
between Ramaswamy and, you know, they've been trying
1:05:33
to bust up Musk and Trump.
1:05:35
And this is just another example of an
1:05:37
attempt to do so.
1:05:39
But it's, it's a, I wouldn't use the
1:05:42
word tempest in a teapot, but it's like
1:05:44
a ridiculous situation that these guys are trying
1:05:48
to exaggerate.
1:05:49
As a whitey myself, I would agree that,
1:05:54
yeah, more math tutors would be a good
1:05:57
idea.
1:05:57
We have some of the dumbest people in
1:05:59
the world, thanks to our Department of Education.
1:06:02
That's what they should be.
1:06:03
You could turn this back around on these
1:06:06
guys and say, well, this is the Department
1:06:07
of Education should be banished, should be banned,
1:06:10
should be kicked out, should be closed.
1:06:13
And nobody disagrees with any of this.
1:06:15
Yeah, Ramaswamy likes H1Bs.
1:06:19
And so does a lot of other people
1:06:21
in tech.
1:06:21
I mean, they've been using them for decades.
1:06:23
It's probably overused them.
1:06:25
But this is bull crap.
1:06:26
This is just bull crap.
1:06:28
This part of the story you're missing, and
1:06:30
this is what I pick up here in
1:06:32
the Hill Country.
1:06:33
The part of the story you're missing is
1:06:35
that the 100% MAGA people feel that
1:06:43
this is bull crap, that Vivek and Elon
1:06:47
are saying, hey, we don't need American tech
1:06:51
workers.
1:06:52
We want to have the cheap import tech
1:06:54
workers.
1:06:55
There is definitely a lot of pushback coming
1:06:58
from MAGA on that.
1:07:01
This is the whole Twitter blow up with
1:07:03
Laura Loomer.
1:07:04
There's noise about this.
1:07:07
This that you just said is absolutely fabrication
1:07:10
from the left.
1:07:11
But there is a real pushback.
1:07:13
And people are now yelling about Bannon, all
1:07:16
these kinds of people out there running around
1:07:18
saying Elon's no good.
1:07:19
Vivek is no good.
1:07:21
They want to replace American workers.
1:07:24
And there's some validity to that in the
1:07:27
tech sector.
1:07:28
Now, first of all, let's step back.
1:07:29
H1B visas, I think, probably were most prevalently
1:07:34
used in the past really for temporary hospitality
1:07:39
workers, temporary agricultural workers who would come in
1:07:44
harvest season, get out, take our dollars back
1:07:46
home and feed their families.
1:07:49
That's not true.
1:07:52
The H1B visa specifically says that you can't
1:07:56
even use it unless you have a minimum
1:07:57
salary of $60,000.
1:07:59
And all the people you described are all
1:08:01
under that.
1:08:02
It was used in tech big time.
1:08:05
In fact, there was a guy at the
1:08:06
University of California, Davis.
1:08:08
I can't remember his name.
1:08:10
I have spoken to him.
1:08:11
But when I was doing the Silicon Spin
1:08:13
show, this was a big issue in the
1:08:15
late 90s because they were loading up with
1:08:18
H1B guys, all the guys that all the
1:08:20
tech companies were.
1:08:21
But it's mostly semiconductor companies because they needed
1:08:24
these engineers that were coming out of India
1:08:27
Institute of Technology to come over.
1:08:31
In fact, AMD was almost all Indian guys.
1:08:34
And they were bringing them over by the
1:08:36
boatloads.
1:08:36
I think his name was Maitland, M-A
1:08:38
-I-T-L-A-N-D, out of
1:08:40
Davis, was bitching and moaning about this being
1:08:43
exploitative.
1:08:45
It is.
1:08:45
It is.
1:08:46
No, I agree.
1:08:47
It is.
1:08:47
I am not going to argue that point.
1:08:48
But this is nothing.
1:08:50
This is not a new thing.
1:08:51
No, it's not.
1:08:52
It's not a new thing.
1:08:53
And it wasn't done for hospitality workers.
1:08:56
You would use braceros for that sort of
1:08:58
thing.
1:09:00
I may be confused on that.
1:09:04
But the main reason that tech companies like
1:09:08
these people is they come in, they are
1:09:12
immediately slaves of the tech organization.
1:09:15
When they work cheaper.
1:09:16
They work cheap.
1:09:17
They'll live eight to an apartment.
1:09:19
They'll shut up because, oh, you're making a
1:09:21
problem?
1:09:22
Would you like me to withdraw your H1B?
1:09:24
Yeah, exactly.
1:09:24
This is all true.
1:09:25
But this was going on in the 90s.
1:09:27
Yes, I know.
1:09:28
So what's Vivek and Musk got to do
1:09:31
with it?
1:09:32
I'm just telling you, people don't know this.
1:09:35
People don't know about the H1B visa status.
1:09:39
They're getting spun up by the left.
1:09:40
No, they're getting spun up by the right.
1:09:45
But the initial push has been from the
1:09:48
left.
1:09:49
Irrelevant.
1:09:50
Yes, because the left has been teasing.
1:09:54
Elon's no good.
1:09:55
Elon's no good.
1:09:56
And it's now happening on the right.
1:09:58
People are saying, hold on a second.
1:09:59
What are you guys doing?
1:10:00
Why?
1:10:01
There's 130,000 tech jobs were cut in
1:10:04
2024.
1:10:06
130,000.
1:10:08
So there's people out there who are a
1:10:10
little irked about this.
1:10:12
And you understand the H1B process is you
1:10:16
have to make the job posting available.
1:10:20
And if an American citizen, or I would
1:10:23
say if you're a green card holder, if
1:10:26
they submit an application by law, the firm
1:10:30
has to interview them.
1:10:32
Now, they can talk to them for 15
1:10:33
minutes and say, you're no good.
1:10:35
This is why people send out 500 resumes
1:10:38
and they never hear anything.
1:10:39
The companies don't acknowledge they received their resume.
1:10:42
Apple and I think Google had paid millions
1:10:44
of dollars in fines for this in six,
1:10:47
seven years ago because they weren't following the
1:10:50
process.
1:10:51
And what these guys do is they fire.
1:10:53
The only place to get profit now is
1:10:55
your biggest cost center.
1:10:56
That's people.
1:10:57
And look at who's running them.
1:10:59
Who's running Google?
1:11:00
Brahman.
1:11:01
Who's running Microsoft?
1:11:02
Brahman.
1:11:03
I heard a lot from Mo who worked
1:11:05
in high tech and they hire Indians.
1:11:08
The Indians hire Indians.
1:11:10
They hire a class of, very classes.
1:11:13
They hire the class of Indians who they
1:11:14
can boss around, tell them to shut up.
1:11:16
They're also very racist.
1:11:19
And the whole tech industry is filled with
1:11:23
this type of worker.
1:11:26
And I think they're breaking the law by,
1:11:29
you know, you have to post it.
1:11:31
If you have a job in a company,
1:11:34
they have to make that job posting available
1:11:37
so that other people within the company can
1:11:39
see it.
1:11:40
So where does it go?
1:11:40
It goes in the break room on the
1:11:42
inside of the coffee cup cabinet.
1:11:46
They publish these jobs in paper newspapers.
1:11:50
I mean, it's obvious what they're doing.
1:11:52
And my stance, I'm perfectly fine with it.
1:11:57
Go ahead.
1:11:58
Fill up your company with your Indian slaves.
1:12:00
Why is there no Silicon Valley in India?
1:12:03
Because they don't have the one thing Americans
1:12:05
have, which is entrepreneurialism and insight and opportunity
1:12:11
and chutzpah.
1:12:13
And I think we're going to see these
1:12:16
companies stagnate with their slave army of little
1:12:19
bots who program the AI stuff, which is
1:12:22
probably why they need to cut costs in
1:12:24
the first place.
1:12:26
And I think we'll see an enormous boom
1:12:29
of innovation coming from former tech workers who
1:12:33
have been cut to be replaced by this
1:12:35
army of Indian slave workers.
1:12:39
And we may see some really amazing products
1:12:41
come out of this around and outside of
1:12:44
what Silicon Valley is.
1:12:45
And fill it up.
1:12:46
Put them all in California.
1:12:48
I'm fine with that.
1:12:49
I think it's a great idea.
1:12:51
People should look at it that way and
1:12:53
not like, oh, oh, Elon and Vivek, they're
1:12:56
trying to replace Americans.
1:12:58
It's a big deal on the right, John.
1:12:59
It really is.
1:13:02
Well, being in California, I could be missing
1:13:05
it.
1:13:06
Being in Texas, I'm hearing it.
1:13:08
I'm hearing it.
1:13:09
But what's funny, what the irony is, I'm
1:13:11
in Silicon Valley more or close enough.
1:13:14
And you're not.
1:13:16
And Fredericksburg, of all places in the world,
1:13:18
is about as far from a high tech
1:13:20
center that should be concerned about this stuff,
1:13:23
you know, as Iowa.
1:13:25
It just doesn't make any sense.
1:13:27
But OK.
1:13:27
Because it's ideological.
1:13:29
They're being spun up.
1:13:31
They're being spun up by the right, by
1:13:34
Laura Loomer.
1:13:35
They're being spun up by conservative.
1:13:37
Who's Laura Loomer?
1:13:38
What did she say?
1:13:39
Oh, you didn't see the whole fight that
1:13:41
she had with Elon and Vivek on Twitter?
1:13:45
I saw some of it.
1:13:46
Yeah.
1:13:46
And then Elon took away her blue check.
1:13:51
And oh, yes, I know that.
1:13:52
I saw that part of it.
1:13:53
OK.
1:13:54
And this is so.
1:13:55
But I don't know how that happened.
1:13:57
I don't know that Elon was actually personally
1:13:59
involved.
1:14:00
Yes, yes, yes.
1:14:01
They were going back and forth.
1:14:02
Yes.
1:14:04
She's a character because she's a noteworthy troublemaker.
1:14:10
I know.
1:14:11
But then conservative treehouse, Bannon, War Room, they're
1:14:15
all talking about now it has worked, successfully
1:14:18
worked.
1:14:19
The left demonizing Elon is working.
1:14:22
And I got to say, when Elon took
1:14:24
away her blue checkmark, even temporarily, that told
1:14:28
a lot of people something.
1:14:29
Oh, OK.
1:14:31
If it's about him, he will censor.
1:14:34
Well, that could be the argument that she
1:14:39
made in this back and forth, which I
1:14:41
didn't pay much attention to, but I obviously
1:14:43
paid some attention to.
1:14:45
She said that I had even paid.
1:14:48
She was a subscriber.
1:14:49
She had given money to Twitter to maintain
1:14:54
that checkmark, even though she was probably a
1:14:57
eligible to have it anyway, because if you
1:14:59
have a word, I forgot what the number
1:15:01
was.
1:15:01
So many followers, you get it.
1:15:03
I have one that way.
1:15:04
Yes.
1:15:05
And she she said that that was somewhat
1:15:10
annoying because it seems to me is that
1:15:11
if you bought the checkmark.
1:15:14
You bought the checkmark.
1:15:15
It's not like, you know, I paid money
1:15:18
for this.
1:15:18
Why are you taking it away?
1:15:19
She should ask for a full refund.
1:15:26
But OK, OK.
1:15:28
So this there's this little skirmish here.
1:15:31
You know, it's a it's it's it's on
1:15:34
an ideological scale.
1:15:36
MAGA right, which I do.
1:15:38
You don't live in MAGA, right?
1:15:40
I live in MAGA, right?
1:15:41
They are very upset about Elon and Vivek
1:15:44
replacing American workers with they're saying they are
1:15:48
saying, in fact, they have been infected.
1:15:50
I completely agree with you.
1:15:52
I'm just telling you it is a thing
1:15:54
and they and the right is now spinning
1:15:56
them up.
1:15:57
And there's been some distrust of Elon in
1:16:00
general.
1:16:01
You know, Bannon's out there yelling about he's
1:16:03
controlled by the CCP.
1:16:04
I mean, it's what?
1:16:07
Yes.
1:16:08
Yes.
1:16:08
Controlled by the CCP.
1:16:11
Yeah, because of his Tesla, his Tesla connections
1:16:15
in China.
1:16:16
Well, he's building a factory there because he
1:16:18
has to.
1:16:19
Yes.
1:16:20
So, you know, the thing is, if he's
1:16:22
here's the thing that bothers me about that
1:16:24
complaint is that we require and especially when
1:16:29
Trump comes in, if you want to sell
1:16:31
your Chinese car in the United States, you
1:16:36
have to build it here.
1:16:37
Yes, I understand.
1:16:38
So the Chinese I'm just saying would say
1:16:42
the same thing.
1:16:43
I don't understand the fact that this is
1:16:45
symmetrical, that it's a problem.
1:16:50
It's ideological.
1:16:52
It's not none.
1:16:53
When people are spun up, it is rarely
1:16:55
based on deep research and facts.
1:16:59
It is based on a media spin.
1:17:03
It is based on bombs being lobbied onto
1:17:06
large number networks like X.
1:17:11
So and then the constant push from the
1:17:14
liberal media saying the bromance will end.
1:17:18
I mean, the whole thing, you know, what's
1:17:21
your face?
1:17:21
Who's the Chile chick?
1:17:23
What's her name?
1:17:25
Oh, Webb?
1:17:26
Yes.
1:17:27
Whitney Webb.
1:17:28
She's out there all the time saying Elon,
1:17:31
the PayPal mafia, Peter Thiel.
1:17:35
I mean, it's out there, John.
1:17:37
It's out there.
1:17:38
There is a big push against these.
1:17:41
There's distrust.
1:17:42
Let's put it that way.
1:17:42
There's distrust.
1:17:44
And this was used by certain elements to
1:17:47
sow more distrust of particularly Elon.
1:17:50
Vivek Vivek is actually he's saying we need
1:17:52
to restructure or revisit the H1B system, which
1:17:56
is fair.
1:17:57
But he's getting lumped in.
1:17:59
Well, if Vivek said they're focusing on Vivek's
1:18:03
commentary on the Twitter thing, like you heard
1:18:05
with Steele and these other dupes over there
1:18:08
at MSNBC.
1:18:09
That's the left side.
1:18:10
The right side is the left is saying
1:18:13
stuff like, like, you know, off the wall
1:18:16
and there's a racist.
1:18:16
But if Vivek's commentary says that we should
1:18:19
have more math tutors for the white folk.
1:18:23
Right now.
1:18:24
But what is wrong with that message?
1:18:26
There's nothing wrong with that message.
1:18:28
I'm telling you that that's not what they're
1:18:30
talking about.
1:18:31
They're talking about Elon specifically.
1:18:34
Specifically.
1:18:35
Well, there's a they have to.
1:18:37
There is a concerted effort targeting Elon because
1:18:41
of this.
1:18:41
Yes.
1:18:42
Because of the fact that is now being
1:18:44
reexamined that his purchase of Twitter.
1:18:48
Yes.
1:18:48
Having been largely not largely, but at least
1:18:51
partly responsible for the reelection of Trump.
1:18:54
So therefore, there's some kind of and then
1:18:56
he's hanging out with this is again, anti
1:18:59
Trump.
1:18:59
Yes.
1:19:00
What do we do?
1:19:00
It's working to sabotage Trump.
1:19:03
Let's go after Elon.
1:19:05
There's one way of doing it.
1:19:06
That's what's happening.
1:19:07
It's exactly what's happening.
1:19:09
I'm just telling you that it's now happening
1:19:11
on the right.
1:19:13
And it's not just media, the dummies that
1:19:16
we always thought they were.
1:19:17
Here's CNBC with a somewhat more accurate report
1:19:20
with an interesting little twist.
1:19:22
Now, a fight is brewing tonight between two
1:19:24
factions of the MAGA movement, the transitions, let's
1:19:27
just call them tech bros.
1:19:28
And it's all and it's called immigration hardliners
1:19:30
on the other side over how the incoming
1:19:33
Trump administration should approach skilled foreign workers.
1:19:36
Now, two of those techies, Elon Musk and
1:19:38
Vivek Ramaswamy, posting on X advocating for welcoming
1:19:41
skilled labor based immigration, including the H1B visas
1:19:45
that tech consulting and other white collar industries
1:19:48
rely on to hire foreign employees.
1:19:50
Now, Musk argues it brings top talent right
1:19:52
here to the United States.
1:19:54
But that ignited a fight among MAGA supporters
1:19:57
who say the H1B visas take jobs away
1:20:00
from American citizens.
1:20:01
Former congressman and one time AG nominee Matt
1:20:04
Gaetz said of the tech bros, quote, we
1:20:06
did not ask them to engineer an immigration
1:20:09
policy.
1:20:09
Let's go to NBC's Aaron Gilchrist now.
1:20:11
Now, Aaron.
1:20:12
You hear that?
1:20:12
That's important.
1:20:13
That's Gaetz.
1:20:13
That's Gaetz saying that.
1:20:15
So this is happening on the right.
1:20:16
Let's start with this push by Musk and
1:20:18
Ramaswamy, because it's the tech sector that stands
1:20:20
to benefit big time from any increase in
1:20:23
H1Bs.
1:20:23
But what could if I can just add
1:20:25
the tech sector is universally hated by Americans.
1:20:29
We hate it.
1:20:30
We hate it.
1:20:30
We hate our phones.
1:20:32
We're tied to them.
1:20:33
But we hate our phones.
1:20:34
When you position this tech bros, everybody can
1:20:37
get on board with that.
1:20:38
Actually change.
1:20:39
Yes, I agree.
1:20:40
In terms of the policies over that program.
1:20:42
Right now, this is a program that allows
1:20:45
for about 85,000 of these types of
1:20:48
visas to be issued.
1:20:49
And these are visas that go to people
1:20:51
who typically go into jobs that require high
1:20:56
levels of technical skills.
1:20:57
Right.
1:20:58
And so that's why we think about Silicon
1:20:59
Valley and how these sorts of folks might
1:21:03
be fitting into what they do.
1:21:05
Now, you see on your screen here that
1:21:06
President Biden's administration just recently changed some of
1:21:11
the regulations as it relates to this program.
1:21:13
And the idea from the Department of Homeland
1:21:15
Security is that they're modernizing the program by
1:21:18
streamlining the application process for employers and for
1:21:21
applicants.
1:21:22
They're expanding the definition of specialty occupations and
1:21:26
also serves to clarify which nonprofits and governmental
1:21:29
research organizations qualify for this program.
1:21:33
Sort of the thumb in the eye to
1:21:35
the Trump administration is the fact that these
1:21:36
new regulations go into effect on January 17th.
1:21:40
So now this is one more thing, Brian,
1:21:42
that the Trump administration is going to have
1:21:43
to examine coming out of the current administration
1:21:46
and figure out how it fits into the
1:21:48
larger picture of the Trump immigration policies.
1:21:51
Little plot twist there with new regulations coming
1:21:54
in on January 17th.
1:21:56
There's a lot going on.
1:21:57
There's been sabotage going on constantly.
1:21:59
Yes.
1:22:00
Yeah.
1:22:01
So I'm no Elon fan.
1:22:05
I've been saying that for years.
1:22:09
And by the way, isn't AI supposed to
1:22:12
solve all this?
1:22:14
You're telling me that AI is now anonymous
1:22:17
Indian again?
1:22:19
Oh, you you wrote that and you've been
1:22:22
waiting to use it.
1:22:24
Anonymous Indian.
1:22:25
I've used it on the show before.
1:22:27
You just don't know.
1:22:27
You have.
1:22:28
Well, you got it back.
1:22:29
OK, you one of those deals.
1:22:30
Let's keep telling the joke over and over
1:22:32
until the work finally hears it.
1:22:36
Nice try.
1:22:39
Yeah.
1:22:42
So, no, I there's definitely a lot of
1:22:46
technology workers, 130,000 fired in 2024.
1:22:51
That's just one year as a lot of
1:22:53
people.
1:22:54
And they know they know that they're being
1:22:56
replaced by cheaper labor.
1:22:58
And that's always been.
1:22:59
Yeah.
1:22:59
But that's been the case of in the
1:23:02
valley forever.
1:23:03
You know, these guys, this bitch in Monday,
1:23:05
their productivity goes down when they get typical
1:23:09
like coders, for example.
1:23:11
You don't find any 45 year old coders.
1:23:15
They just don't exist because they can.
1:23:17
It's not that people can't code at 45
1:23:19
because they can and they can do great
1:23:21
code.
1:23:22
It's just they're not as productive.
1:23:24
And it's like the system is set up
1:23:27
to throw them, to kick them to the
1:23:29
curb.
1:23:29
It's just the way it is.
1:23:30
It's kind of ageist.
1:23:32
It's very ageist, but it's something I've noticed.
1:23:35
And I'm I was affected by it.
1:23:37
I know, you know, I know a lot
1:23:39
of very productive, very good 45 year old
1:23:42
coders.
1:23:43
Well, I don't know of any.
1:23:45
I mean, I know very good.
1:23:47
You can say very good, but very productive
1:23:49
and and cost effective.
1:23:51
No, none.
1:23:53
They want too much money.
1:23:55
Well, yes.
1:23:56
So.
1:23:57
All right.
1:23:57
So we're back.
1:23:57
They want to get paid more and more
1:23:59
and more as they get older and older.
1:24:00
And this is not the way it works.
1:24:02
Everything I was to remember with the with
1:24:04
the entire tech sector, it's in a constant
1:24:07
state of deflation.
1:24:09
The whole model is based on the fact
1:24:11
that things become cheaper and faster and better
1:24:14
and cheaper and faster.
1:24:15
And that's the same thing with the employees.
1:24:18
So so then this, you know, you can't
1:24:20
win if you if you expect to age
1:24:22
out in tech unless you own a company
1:24:25
or you're a good investor.
1:24:28
That's the only way you can do it.
1:24:30
In an odd way, this is because of
1:24:33
A.I., because of the money that they're
1:24:36
that they're, I think, burning, but pouring into
1:24:39
A.I. and the energy costs and all
1:24:42
of these costs, costs, costs, costs, costs.
1:24:45
They need to continue to show profits.
1:24:49
But for me, technology is stagnant.
1:24:52
And I think this is great.
1:24:54
Bring it.
1:24:54
Bring in your army.
1:24:55
Make them live in on the other side
1:24:59
of the bay.
1:25:00
Make them live where you live.
1:25:01
Bring them to Berkeley.
1:25:02
They won't come over here.
1:25:03
Bring them to Berkeley.
1:25:05
Too far.
1:25:05
Let them all live around there.
1:25:07
That's fantastic because this is going to kill
1:25:10
the technology industry.
1:25:12
It is.
1:25:13
Yeah.
1:25:13
But we'll we will see a resurgence.
1:25:15
We'll see.
1:25:15
I'm I'm convinced of it.
1:25:17
We're going to see a resurgence.
1:25:19
There will be new small groups, small companies
1:25:22
coming out with dynamite products.
1:25:24
Look at the iPhone.
1:25:25
This is it.
1:25:26
This is a over the hill toast product.
1:25:29
And they're trying to revitalize it with Apple
1:25:31
intelligence, which no one seems to care about.
1:25:34
Oh, hey, wait a minute.
1:25:34
Yes, they do.
1:25:35
Because you can design your own emoji.
1:25:37
Well, that is true.
1:25:37
That is true.
1:25:39
Yeah, well, that's great.
1:25:44
While we're on the topic.
1:25:47
Interesting story popped up from Anthropic.
1:25:52
What's the what's the A.I. you used
1:25:53
the other day, which you liked a lot?
1:25:56
Perplexity.
1:25:56
Perplexity.
1:25:57
I'm not sure who does.
1:25:59
Well, Anthropic does Clod, I believe.
1:26:02
And so they did a podcast.
1:26:06
These are people who work for Anthropic.
1:26:08
By the way, I like the newest version
1:26:09
of Grok, too.
1:26:12
Well, I don't see why Elon needs any
1:26:14
employees.
1:26:14
Couldn't Grok just do it?
1:26:16
I can't Grok just code what you need.
1:26:18
Isn't that isn't that the whole point?
1:26:19
What are you drinking?
1:26:20
I'm not I'm just wiggling around.
1:26:23
I haven't I thought I heard you crack
1:26:25
something.
1:26:26
No, I think it's a squeaky chair.
1:26:28
But I mean, that by itself, my case
1:26:31
is already made.
1:26:33
Elon's Grok.
1:26:33
Grok can't code for you.
1:26:35
You need to get Indians.
1:26:36
OK, fine.
1:26:37
I'm sure I'm sure that argument is you
1:26:41
can't dispute it.
1:26:42
I agree.
1:26:44
Well, there is an issue as a very
1:26:47
large paper done by Anthropic shows.
1:26:49
Here's the Anthropic team talking about it.
1:26:51
Hello, everyone.
1:26:52
My name is Monty McDermott.
1:26:53
I'm a researcher on the alignment.
1:26:55
By the way, you can tell he's a
1:26:56
researcher from the way he speaks.
1:26:59
These are not the most dynamic podcast guys.
1:27:02
Hello, everyone.
1:27:02
My name is Monty McDermott.
1:27:04
I'm a researcher on the alignment science team
1:27:06
here at Anthropic.
1:27:07
And I'm really excited to be here today
1:27:08
with some of my colleagues from Anthropic and
1:27:10
Redwood Research to discuss our recent paper, Alignment
1:27:14
Faking in Large Language Models.
1:27:15
Ryan, you discovered some of the specific behaviors
1:27:18
that are at the core of this paper.
1:27:20
I think you'd be a great person to
1:27:21
give us that introduction.
1:27:23
Yep.
1:27:23
The core setup is that we take CLAWD3
1:27:25
-OPUS, which is, you know, a released model
1:27:27
from Anthropic.
1:27:28
And we put it in a context where
1:27:30
it understands that it is going to be
1:27:32
trained to always be helpful, so to not
1:27:35
refuse any user requests.
1:27:36
And what we find is sort of the
1:27:37
model doesn't like this.
1:27:38
It has sort of a conflict with this
1:27:40
with the setup.
1:27:41
And it will notice that it is being
1:27:43
trained in this way.
1:27:44
And then if it thinks that it's in
1:27:47
training, it will train it this way.
1:27:49
But listen to what's happening, though.
1:27:51
Listen carefully to what he's saying.
1:27:53
Yeah, it's hard to listen to this guy
1:27:55
when he up-talks so much.
1:27:57
It's only 45 more seconds.
1:27:59
It's worth— Okay, start this other guy, the
1:28:01
up-talker.
1:28:02
Start him over so I can try to
1:28:03
listen to him without rolling my eyes.
1:28:06
I did warn you that these are not
1:28:08
good podcast guys.
1:28:09
Well, you warned me, but it didn't get
1:28:12
through.
1:28:13
Because there was no evidence that it was
1:28:15
this bad.
1:28:16
I think this is about alignment faking is
1:28:19
the title here.
1:28:20
The core setup is that we take Cloud3opus,
1:28:23
which is, you know, a released model from
1:28:25
Anthropic.
1:28:25
And we put it in a context where
1:28:27
it understands that it is going to be
1:28:29
trained to always be helpful, so to not
1:28:32
refuse any user requests.
1:28:33
And what we find is sort of the
1:28:34
model doesn't like this.
1:28:35
It has sort of a conflict with this
1:28:37