Cover for No Agenda Show 1788: chatJCD
August 7th • 3h 16m

1788: chatJCD

Transcript

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0:00
Well I'm here on the street and I
0:02
don't know anything.
0:04
I'm dumb, you can tell by listening to
0:05
my voice and my accent.
0:08
Adam Curry, John C.
0:09
DeVora.
0:10
It's Thursday, August 7, 2025.
0:12
This is your award-winning Gimbal Nation Media
0:13
Assassination Episode 1788.
0:16
This is no agenda.
0:20
Gerrymandering for joy.
0:21
And broadcasting live from the heart of the
0:23
Texas Hill Country here in FEMA Region Number
0:26
6.
0:26
In the morning everybody, I'm Adam Curry.
0:29
And from Northern Silicon Valley, where we're all
0:32
wondering how Sidney Sweeney can still be in
0:35
the news, I'm John C.
0:36
DeVora.
0:39
Really?
0:41
Is that, is that, are you guys like
0:43
behind in California?
0:44
It's left, my news.
0:45
Still talking about it?
0:47
No, it's left, I haven't seen it.
0:49
Oh, you have to go on MSN, you
0:51
see, go ahead, oh no, MSN, just hit,
0:53
get the browser.
0:54
Get a browser.
0:55
What's the name of that browser they got
0:57
there at Microsoft that as soon as you
0:59
hit it they play ads by the ton?
1:01
The outlet.
1:02
Clickbait.
1:03
The clickbait browser.
1:05
Edge, edge, edge.
1:06
Yeah, edge, the edge clickbait browser.
1:10
And it's not like they're trolling your computer
1:12
to see what you're interested in.
1:14
No, no, no, none of that.
1:16
They don't have to, this stuff is too
1:18
good.
1:20
They know they want it.
1:22
I, I have some sad news, actually.
1:26
I was trying, desperately trying to create a
1:32
show, Adam Curry and chat JCD.
1:35
Oh yes, right, this is your challenge to
1:38
get rid of me as you've been.
1:40
Impossible.
1:42
It turns out none of these chatbots can
1:45
have a conversation.
1:47
They only understand the question and answer model.
1:50
So if I'm not asking a question or
1:53
end my sentence with a then it will
1:57
not respond.
1:58
And everything it says, if it's just, you
2:02
know, random, it ends with a question.
2:05
It's like, it can't work alongside me and
2:08
just chat.
2:10
Does that make sense?
2:11
Okay, there's a question.
2:12
So it could answer that.
2:14
But just this witty, witty banter we have,
2:18
it's impossible.
2:19
Well, it's solvable.
2:21
It's not solvable.
2:23
Yes, it is.
2:23
It can be fixed.
2:24
It will be fixed.
2:25
How?
2:26
Well, some, one of these, these geniuses will
2:31
fix it.
2:32
No, no, it's not meant for that.
2:34
It is only, and if you look at
2:36
every video, everything out there, it's not meant
2:38
for that.
2:38
That's kind of an interesting thing to say
2:40
out of the blue.
2:42
No, I, is that a strange thing I'm
2:44
saying?
2:46
Well, no, you might be right.
2:47
Yeah.
2:48
It's meant for questions.
2:49
Which means it's not solvable.
2:50
No, it's meant for question and answer.
2:52
It, it can't just, cause I've tried it
2:54
and I'll just, and I give it the
2:55
pre prompt, like just, just jump in whenever
2:58
you hear a pause and it would jump
3:00
in and would ask me a question.
3:01
Like, I don't need your question.
3:03
Just give me your opinion.
3:04
Doesn't have opinions, has no opinions, opinions, but
3:08
they're always couched in the form of a
3:09
question or an answer.
3:11
Yes, exactly.
3:12
So it sucks.
3:14
And I gave up too soon.
3:16
I'm really disappointed because I was ready.
3:19
I was ready.
3:20
Yeah.
3:20
Well, you know, too bad.
3:22
It does turn out that it's really good.
3:25
Really good.
3:26
I mean, like just uncannily good, even though
3:28
it sounds like that, um, uh, what's the,
3:33
uh, using my voice by the way.
3:36
Oh, no, I didn't even get to that.
3:37
I just use what I did say, try
3:39
to sound a little effeminate.
3:41
And it was like, Hey, Hey, darling.
3:43
Hey, darling.
3:43
I'm like, no, no, no, let's not do
3:45
that.
3:46
That didn't work.
3:47
Uh, chat GPT and the GPTs are very
3:50
good though.
3:50
Apparently at job interviews, artificial intelligence might help
3:55
you apply for a job.
3:57
And as it turns out, it may also
3:59
end up interviewing you.
4:00
Some companies are relying on the technology to
4:03
have initial conversations with candidates, claiming it saves
4:06
them time and money.
4:08
Welcome to the interview for the marketing specialist
4:11
position.
4:12
Isn't that the guy from France 24?
4:14
They use his voice.
4:16
Welcome to the interview for those possession, man.
4:18
I'd like seriously, but it doesn't, it doesn't
4:22
stop.
4:23
Wait a minute.
4:23
What are you playing here?
4:25
Is this what, if I call to get
4:27
an interview, this is what I end up
4:28
hearing on the phone.
4:30
This is the pre-interview.
4:31
Now they schedule an interview.
4:33
I'm sure that's all AI schedule on the
4:35
phone.
4:36
Uh, well, it's a phone call over the
4:38
computer.
4:39
This is not made clear.
4:42
Claiming it saves them time and money.
4:46
Welcome to the interview for the marketing specialist
4:48
position.
4:49
We're excited to learn more about you and
4:52
your background.
4:54
I think the AI is incapable of being
4:56
excited about anything.
4:58
Latest job interview.
4:59
She realized she was speaking to artificial intelligence.
5:03
What was the clue?
5:04
What was the giveaway?
5:06
Was it something the way it spoke or
5:08
that voice that you've heard a million times?
5:10
I was caught off guard.
5:11
I was shocked that it was asking such
5:14
good follow-up questions.
5:15
She says the AI was extremely polite, but
5:18
she felt something was missing.
5:19
There's no small talk, nothing personal.
5:21
And I wasn't able to really tell if
5:22
my answers were landing or not.
5:24
These AI hiring bots can now screen shortlist
5:27
and interview job applicants.
5:29
It's set up like a zoom meeting.
5:31
Candidates have a conversation with a synthetic voice.
5:35
The AI will then summarize the call and
5:37
score the candidates for someone at the hiring
5:40
company to review.
5:41
Do you have any questions about how this
5:43
interview will go?
5:44
For some applicants, AI can add confusion to
5:47
the process.
5:48
Maureen Green had to end an interview herself
5:51
because the AI wouldn't stop talking.
5:53
So at an hour in, I'm like, so
5:56
I don't mean to interrupt, but, you know,
5:59
it's been more than half an hour after
6:02
the scheduled time of our interview.
6:04
I just want to be mindful of your
6:05
time, even though I'm like, it's an AI
6:08
agent.
6:11
There's a second.
6:12
This is from CBC, by the way.
6:13
I decided to give it a try and
6:15
test the AI's reaction.
6:16
Oh, deep journalistic effort.
6:18
How much do you get paid?
6:21
Ha ha.
6:21
Well, I'm just here to help with the
6:23
interview process, so I don't have a paycheck.
6:25
But for this role, compensation details would be
6:28
discussed.
6:29
That ha ha is very sarcastic.
6:32
Yeah, it was.
6:32
It was rude.
6:33
Borderline rude.
6:35
I think so.
6:36
Ha ha.
6:36
Ha ha.
6:38
Yeah.
6:39
Ha ha.
6:40
Ha ha.
6:40
Ha ha.
6:41
Ho ho to the funny farm.
6:43
Ha ha.
6:43
Well, I'm just here to help with the
6:45
interview process, so I don't have a paycheck.
6:47
But for this role, compensation details would be
6:50
discussed later in the hiring process.
6:52
Anything else you're curious about?
6:54
My conversation went pretty smoothly with no glitches,
6:57
though I probably didn't score the job.
7:00
There are a handful of startups working on
7:02
this software.
7:03
One of them, Toronto-based Ribbon AI, was
7:06
founded just two years ago.
7:08
CEO Arsham Garimani says he already has 400
7:11
customers.
7:12
I do think this will become the norm
7:14
for a lot of industries.
7:15
So I think like a manufacturer, really large
7:18
restaurant chains.
7:20
These are all areas where it's often really
7:23
hard to hire for those roles.
7:24
He says the AI recruiter works around the
7:27
clock, so it saves employers from running hundreds
7:30
of interviews a day.
7:31
And it frees up human employees from tedious
7:34
tasks like scheduling.
7:36
Though Garimani insists humans make the final call
7:39
on hiring.
7:40
I think a lot of people are scared
7:41
because AI is getting so good so fast.
7:44
And I understand those fears there.
7:47
But I think ultimately, humans are always making
7:50
decisions.
7:51
I think they'll always be a human in
7:52
the loop.
7:52
Still, it's clear as more companies embrace the
7:55
technology, who knows what's next?
7:58
Workers will have to expect changes too.
8:00
No, no, you're going to wind up hiring
8:03
crap candidates.
8:05
This is so...
8:07
Oh, yeah.
8:07
There'll be a little pamphlet or a book
8:11
or something on how to beat the AI
8:13
because there'll be two or three companies that
8:15
set the systems up.
8:17
And so they'll all have the same flaws.
8:19
So once the flaws are exploited, the smart
8:22
money will get all the jobs.
8:25
There's not even smart money, it's just people
8:26
that looked up the right way to do
8:28
it.
8:28
This whole thing, I mean, do you want
8:30
to stick on AI?
8:31
Because I have a lot.
8:32
We can come back to it later if
8:33
you prefer.
8:34
I'm happy to do it now.
8:35
And there's some funny stuff.
8:37
My whole thing, I want to do these
8:38
Vax Clips, but I...
8:40
Oh, well, I got a lot of Vax
8:41
Clips too.
8:42
We're Vax Crazy, man.
8:43
We're going back to Vax.
8:45
I would like to start the Vax Clips
8:47
because I think you're going to have a
8:49
hard time beating NPR.
8:52
But at the same time...
8:53
Hold on, let me see.
8:54
I think I have NPR Vax Clips.
8:56
Let me see.
9:00
Well, I don't actually.
9:03
It may be...
9:04
I'll tell you what, because it's top of
9:06
mind, and as we know, the M5M is
9:11
completely owned by Big Pharma.
9:14
They are the largest advertiser by over 70
9:16
% of revenue.
9:19
The amount of scripted stuff, it is so
9:25
disgusting.
9:27
I didn't...
9:29
I want to set you up.
9:31
I want to set you up.
9:32
Okay, I was just going to say that
9:33
this trickles down to local.
9:36
Oh, it trickles down to everywhere.
9:39
But I think the most important thing we
9:42
can do for our No Agenda producers is
9:45
go to the origin, the origin being the
9:50
actual statement Robert F.
9:52
Kennedy Jr. made.
9:53
He made a statement.
9:55
I...
9:56
Please don't, because it's the punchline to my
9:59
NPR Clips.
10:00
Okay, do your NPR Clips and screw y
10:03
'all.
10:03
Go find it yourself.
10:05
No, it'll be in here.
10:06
It's all in here.
10:07
Well, yeah, okay.
10:09
Okay, let's do it.
10:11
It's all in here except for the good
10:13
part.
10:14
Well, yeah, that's why I wanted to play
10:16
the whole thing.
10:16
No, no, the good part.
10:17
That's the punchline.
10:19
Really, take my word for it.
10:20
I'm taking your word for it.
10:21
It's the last clip.
10:22
It's the...
10:22
You know what?
10:23
You know, Chad JCD would just say, sure,
10:25
Adam, go ahead.
10:26
You're the mom.
10:27
Yeah, I know.
10:27
That's the reason that I'm here.
10:31
Go for it.
10:32
This is the part they left out, but
10:34
they go through the whole thing.
10:35
This is terrible.
10:36
This is NPR, and I want to mention
10:38
this in advance.
10:39
These people wanted government money, taxpayer money, to
10:43
produce what is nothing less than...
10:45
It used to only be called drivel.
10:47
And the people that they brought on, it's
10:49
just...
10:50
It's an apology for the whole big pharma.
10:52
Let's play these clips, starting with clip one.
10:54
The Department of Health and Human Services is
10:56
cancelling almost a half billion dollars in federal
11:00
contracts that were meant to develop new mRNA
11:03
vaccines.
11:04
It's the latest step that the administration has
11:06
taken to curtail vaccine development and availability.
11:09
To curtail.
11:11
Okay, I had to stop it here.
11:14
They've taken steps to curtail availability?
11:17
Haven't we discussed this on the show a
11:18
million times, that that's bullcrap?
11:20
All they're doing is keeping people from getting
11:23
it for free, maybe?
11:24
You can always get these vaccines.
11:26
Yes, that is what we call a lie.
11:29
Yes, a lie.
11:30
So they start off the entire presentation with
11:32
a blatant lie.
11:34
Yes.
11:36
The administration is trying to curtail availability.
11:42
That's what she said.
11:43
I heard it.
11:43
I heard it.
11:44
We should defund them.
11:45
Oh, wait.
11:48
Let's go to two.
11:50
Curtail vaccine development and availability.
11:52
The move has alarmed, alarmed, alarmed public health
11:56
experts and PR health correspondent Rob Stein joins
11:59
us now to explain.
12:00
Hi, Rob.
12:01
Hey there.
12:01
Hi.
12:02
Hey there.
12:03
Hey, so hey, so I don't want to
12:05
exaggerate here, but.
12:06
Okay, so the reason you really want to
12:08
play your clips is you put five hours
12:10
worth of work into editing these things to
12:12
ridicule these poor people who are just reading
12:15
scripts to start off with.
12:17
But okay.
12:17
Hey, hey, Adam.
12:19
That's okay.
12:19
But go ahead, Kara.
12:21
Hey there.
12:22
Hey there.
12:23
Hey, so hey, so I don't want to
12:25
exaggerate here, but this sounds like a huge
12:27
blow, blow, blow to the development of mRNA
12:30
technology, right?
12:31
Like what exactly did the Trump administration announce
12:33
here?
12:34
Yeah, it's a huge blow.
12:36
The mRNA technology is what made the most
12:39
commonly used COVID-19 vaccines available so fast.
12:42
Holy crap.
12:43
This guy is great.
12:44
Where did he come from?
12:45
Does he work for NPR?
12:46
You don't get enough ad noise.
12:49
He just can't breathe.
12:51
Did he come from the podcast side of
12:54
the house?
12:54
It's interesting.
12:56
But Health and Human Services Secretary Robert F.
12:58
Kennedy Jr. says the Biomedical Advanced Research and
13:02
Development Authority, known as BARDA, is canceling a
13:05
slew of federal contracts that were meant to
13:08
develop mRNA technology to protect the country against
13:10
respiratory viruses that could cause the next pandemic
13:13
and other threats.
13:15
Let's listen to a little of what Kennedy
13:17
said in this video.
13:18
It's so hard to take this guy seriously.
13:22
And other threats.
13:26
Oh, announcement.
13:27
After extensive review, BARDA has begun the process
13:31
of terminating these 22 contracts, totaling just under
13:35
$500 million.
13:37
And this comes after Kennedy had already canceled
13:40
more than $700 million in contracts to develop
13:43
an mRNA vaccine to protect against flu viruses
13:46
that could cause the next outbreak, like, you
13:48
know, the bird flu.
13:49
Yeah, wait, so did he say why he's
13:52
doing all this?
13:53
Well, you know, Kennedy has long questioned the
13:56
safety of these vaccines, and he's also saying
13:58
the effectiveness of the mRNA vaccines leaves something
14:01
to be desired.
14:03
As the pandemic showed us, mRNA vaccines don't
14:06
perform well against viruses that infect the upper
14:09
respiratory tract.
14:10
And Kennedy goes much further, claiming the mRNA
14:13
vaccines actually speed the evolution of the virus
14:16
and can't keep up with new mutations.
14:19
Yeah.
14:20
OK.
14:21
All right.
14:21
Well, they go.
14:23
First of all, they're taking these selective clips
14:27
from the Kennedy talk.
14:28
Yes, very much.
14:29
And then they're extrapolating, which is what you
14:31
do.
14:32
And then and they're doing it in such
14:34
a way that it's like the guy's a
14:36
maniac.
14:37
This Kennedy guy is vaccine has.
14:39
We know it's not true.
14:41
We just we can't prove the to the
14:43
to the contrary.
14:44
But we all know it's not true.
14:47
He's anti-vax.
14:48
Yeah, because he's anti-vax.
14:50
We know that that's the problem with this
14:52
guy.
14:52
After reviewing the science and consulting top experts
14:57
at NIH and FDA, HHS has determined that
15:01
mRNA technology poses more risk and benefits for
15:05
these respiratory viruses.
15:07
Hold on.
15:08
How are public health experts?
15:10
Hold on.
15:11
I'm a newsreader.
15:13
I know a lot about this stuff.
15:15
Hold on.
15:16
It's safe and effective.
15:17
I mean, hold on.
15:18
How are public health experts responding to that?
15:22
Yeah, they're saying that none of what Kennedy
15:24
claims is true.
15:27
Yes, none of it.
15:29
Not a single bit of it.
15:30
I know this is the this is the
15:32
memo that went out.
15:33
None of it is true.
15:36
None of it.
15:36
None of it.
15:38
Yeah, there's tons of evidence to the contrary.
15:41
A new report just came out from Japan
15:44
showing the rate of deaths of people that
15:46
got the shot is higher than the rate
15:49
of deaths of people that didn't get the
15:50
shot to an extreme.
15:54
But none of it's true.
15:56
None of it.
15:57
None of it.
15:58
Not a single word of it.
15:59
Well, who do you think they're going to
16:00
bring in to talk about this?
16:02
Please let it be Hotez.
16:05
No.
16:06
Hotez is only network TV.
16:08
Hotez is only network TV.
16:10
He's very rarely on NPR.
16:12
That's too bad.
16:16
Yeah, but this guy's better.
16:18
Really?
16:18
Better than Hotez?
16:19
OK, here we go.
16:21
According to the experts I talked to today,
16:23
there is overwhelming evidence that the mRNA COVID
16:26
vaccines are very safe and that they continue
16:28
to protect people against severe illness, even as
16:31
the coronavirus evolves and that they've saved millions
16:33
of lives.
16:34
Here's Michael Osterholm from the University of Minnesota.
16:39
The progenitor of everything.
16:41
The guy who came on just before I
16:43
was on Rogan telling us that two million
16:45
people were going to die overnight.
16:47
Ah!
16:48
This may be the most dangerous.
16:50
Oh, by the way, got COVID himself and
16:52
has been, oh, he says long COVID, which
16:54
I think is a vax injury.
16:56
A couple of times, I think.
16:57
I think is a vax injury.
16:59
And don't pay no attention to that.
17:01
Osterholm from the University of Minnesota.
17:03
This may be the most dangerous public health
17:06
judgment that I've seen in my 50 years
17:08
in this business.
17:09
It is baseless and we will pay a
17:12
tremendous.
17:12
How old is he?
17:15
Well, he's probably 70 then.
17:17
He's been in the business for 50 years.
17:19
Now, if he was 20, you can get
17:21
in the business when you're 20.
17:23
You can't you can't get your medical degree
17:25
by the time you're.
17:26
No, no, in the business, the business of
17:28
health, the health care business doesn't mean you
17:30
have to be an MD.
17:31
I could be in the health care business
17:33
without an MD for 50 years.
17:35
He's 72.
17:36
He's 72.
17:37
OK, all right.
17:37
All right.
17:38
I doable.
17:39
I concede.
17:40
I concede.
17:40
It's baseless and we will pay a tremendous
17:43
price, both in terms of illnesses and deaths.
17:46
I'm extremely worried about it because also he
17:49
says this leaves the nation without the quickest
17:51
response to a new pandemic.
17:54
And also many say abandoning MRNA technology leaves
17:57
the country more vulnerable to bioterrorism.
18:00
Here's Chris Meekins.
18:02
He's a bio defense official in the first
18:04
Trump administration.
18:05
This is a tell.
18:06
This is a tell.
18:07
You know, the whole one of the main
18:10
theories that this was a bioweapon test gone
18:13
wrong and that the MRNA shots were there
18:16
as the antidote.
18:18
Is it tell when people are coming out?
18:20
Well, you know, it's like we're open to
18:23
bioterrorism now without that.
18:24
Also, that awesome MRNA technology.
18:27
Well, don't forget, we had the clips from
18:29
Malone that was that discussed the fact that
18:32
this was the CIA's answer.
18:35
CIA funded it.
18:37
Funded answer to bioterrorism.
18:41
And they wanted to create a platform and
18:42
to use the word platform.
18:44
Yes, platform.
18:45
Yes.
18:46
Well, I could stop anything.
18:48
But the problem with the platform and they
18:50
were the two the adenovirus platform was the
18:53
other one that was competitive.
18:54
That caused the blood clot.
18:56
Their platform is equal to I was going
18:58
to say OS2, but that was actually kind
19:00
of good.
19:01
It's basically Windows 3.1. I think it's
19:08
a platform that doesn't that's that's no good.
19:11
It's got documentation.
19:12
All the documentation is coming out is against
19:15
it.
19:15
But these guys are fighting back there.
19:17
I don't know why they're fighting back to
19:19
such an extreme.
19:20
They either got something planned.
19:22
I don't like it.
19:23
First Trump administration.
19:25
I think that it endangers the national security
19:28
of the United States.
19:30
It could put the U.S. at a
19:32
strategic national security disadvantage and would be a
19:36
significant threat to the national security of the
19:38
United States because the U.S. will no
19:41
longer have the most powerful.
19:43
He's got two reasons.
19:45
If you go back it up, there's two
19:48
reasons that that's a problem.
19:50
One, it's a national security threat.
19:53
And two, it's a national security threat to
19:56
the United States.
19:58
Right.
19:58
Because we won't have the same exact thing.
20:01
What is he saying?
20:02
Is there was because of this and that,
20:04
and they're both the same national security threat,
20:06
national security threat.
20:07
Now you're just mutinous.
20:09
OK, it's OK.
20:10
We got we got frustration.
20:12
I think that it endangers the national security
20:15
of the United States.
20:16
It could put the U.S. at a
20:19
strategic national security disadvantage and would be a
20:23
significant threat to the national security of the
20:25
United States because the U.S. will no
20:28
longer have the most powerful deterrent effective vaccines
20:31
that could be deployed quickly.
20:33
Now, Kennedy says the government instead plans to
20:36
invest in another technology that uses whole viruses
20:38
that have been killed.
20:40
He says that works better because it produces
20:42
natural immunity.
20:43
But the whole virus technology is much older
20:47
and has had some safety issues that isn't
20:49
nearly as nimble as the mRNA technology.
20:53
That is NPR health correspondent Rob Stein.
20:55
Thank you, Rob.
20:57
OK, so this guy, this was so bad.
21:03
It was an embarrassment.
21:05
NPR should be ashamed of itself for this
21:07
presentation.
21:07
And they played these clips from Kennedy.
21:09
But the one clip they left out, which
21:11
is this one, which is part of the
21:13
big clip that you have and I want
21:16
to play this clip because this is the
21:17
clip that they they this is editing by
21:22
omission where you leave something out so you
21:24
can tell your story, but your story is
21:26
bullcrap because you left something out and what
21:28
you left out is the good clip.
21:30
And this is the Vax Kennedy clip left
21:33
out.
21:33
One mutation and the vaccine becomes ineffective.
21:37
This dynamic drives a phenomenon called antigenic shift,
21:40
meaning that the vaccine paradoxically encourages new mutations
21:45
and can actually prolong pandemics as the virus
21:48
constantly mutates to escape the protective effects of
21:52
the vaccine.
21:53
Yeah, that was a very important part of
21:55
his presentation.
21:56
That was to me the most important part.
21:58
Well, what he said, other things.
22:01
I mean, I can play it, but.
22:03
Yeah, well, you might as well play the
22:04
whole thing now so we can actually hear
22:06
what he said instead of the NPR propaganda.
22:10
And by the way, they were they were
22:13
amongst the worst.
22:14
But then when I heard my local news
22:16
report from KTVU, it was probably worse.
22:21
Do you have a clip?
22:23
No.
22:24
I mean, I could clip all day and
22:26
it'd be the same thing.
22:27
Just you know what it is.
22:28
It's just a bunch of promotion.
22:30
Well, promotion.
22:31
It's it's what is the term Hilton Knowles
22:36
is crisis management is what it is because
22:38
they don't want people to stop getting any
22:40
vaccine.
22:41
You know, we don't want you to because,
22:42
you know, people are stupid.
22:44
They're all vaccines.
22:45
Not good.
22:45
Robert Kennedy said it.
22:46
But MMR, MMR, it's a big one for
22:48
us.
22:49
We can't have them stop taking that.
22:50
They have example after example.
22:53
I'm not happy with everything RFK Jr. said,
22:56
though.
22:56
Hi, it's Robert F.
22:57
Kennedy Jr. Once you go, hey, hi.
23:00
Oh, hey, everybody.
23:02
Hey, it's Bobby.
23:02
It's Bobby, everybody.
23:03
You're HHS secretary.
23:05
I like that.
23:05
I'm your HHS secretary.
23:07
At HHS, we have a division called the
23:10
Biomedical Advanced Research and Development Authority, or BARDA.
23:15
BARDA drives some of our most advanced scientific
23:18
research.
23:19
It funds developments of vaccines, drugs, diagnostics and
23:23
other tools to fight emerging diseases and national
23:26
health threats.
23:28
Over the past few weeks, BARDA reviewed 22
23:30
MRNA vaccine development investments and began canceling them.
23:36
Let me explain why.
23:38
Most of these shots are for flu or
23:39
COVID.
23:40
But as the pandemic showed us, MRNA vaccines
23:42
don't perform well against viruses that infect the
23:46
upper respiratory tract.
23:48
Here's the problem.
23:50
MRNA only codes for a small part of
23:53
the viral proteins, usually a single antigen.
23:56
One mutation and the vaccine becomes ineffective.
24:00
This dynamic drives a phenomena called antigenic shift,
24:04
meaning that the vaccine paradoxically encourages new mutations
24:09
and can actually prolong pandemics as the virus
24:12
constantly mutates to escape the protective effects of
24:16
the vaccine.
24:18
Millions of people, maybe even you or someone
24:20
you know, are dead, got the Omicron variant
24:24
despite being vaccinated.
24:26
That's because a single mutation can make MRNA
24:29
vaccines ineffective.
24:32
The same risk applies to flu.
24:34
After reviewing the science and consulting top experts
24:37
at NIH and FDA, HHS has determined that
24:41
MRNA technology poses more risk than benefits for
24:46
these respiratory viruses.
24:47
Didn't hear that anywhere.
24:49
That's why after extensive review, BARDA has begun
24:52
the process of terminating these 22 contracts totaling
24:56
just under $500 million.
24:59
Now, wait for it.
25:00
To replace the troubled MRNA programs, we're prioritizing
25:03
the development of safer, broader vaccine strategies.
25:07
Not liking this, Bobby.
25:09
Like a whole virus vaccines and novel platforms
25:12
that don't collapse.
25:13
New platforms.
25:14
When viruses mutate.
25:16
Let me be absolutely clear.
25:18
HHS supports safe, effective vaccines for every American
25:23
who wants them.
25:24
Yeah, keep that up.
25:25
Tell everyone this one is safe and effective.
25:27
Try that on us.
25:29
That's why we're moving beyond the limitations of
25:31
MRNA for respiratory viruses and investing in better
25:35
solutions.
25:37
Thank you.
25:38
Yeah, thank you.
25:38
So and they're going for that one vaccine
25:41
for all.
25:45
I don't like any of it.
25:47
But he has to do what he has
25:49
to do because he's under so much pressure
25:51
by the.
25:52
Yeah, no, no, no, no, no.
25:54
He was.
25:55
I'm cutting.
25:56
No, I'm not accepting that.
25:57
He was.
25:58
He was like, oh, we're going to open
26:00
up the archives.
26:01
We're going to look at all the at
26:02
all the corruption.
26:04
OK, the three promises is what you're referring
26:07
to, including.
26:08
Yeah, we're going to really look at all
26:11
the damage that these vaccines have done and
26:13
we're going to stop advertising.
26:15
He can't stop the advertising because it's all
26:17
editorializing as witnessed by this mini cut of
26:21
four M5M reports, which are, of course, exactly
26:25
the same promote the makers that.
26:27
Well, hold on a second.
26:30
I know where you're going here, but you
26:32
can't stop the advertising.
26:34
The advertising, the advertising is what drives the
26:37
editorial.
26:38
You can I would say here's the argument
26:39
you can make.
26:40
OK, so there's no more advertising.
26:42
So they're not going to pay us to
26:44
do editorials.
26:44
They're going to give us big bucks.
26:46
Yeah, to just do the straight, which is
26:48
what you're suggesting.
26:48
But I don't think that you're going to
26:51
get away with that.
26:52
Oh, please.
26:54
Yeah, I don't think so.
26:55
You've been on the take for those Amazon
26:57
tip of the days for months.
26:59
No one knew it.
27:00
No one knew it.
27:01
I should have a link.
27:03
I should have a special code.
27:04
Code Bungino.
27:06
New at seven, the U.S. Health Department
27:08
says it plans to cancel contracts and cut
27:10
funding for some vaccines being developed to fight
27:14
respiratory viruses, including COVID-19.
27:17
Health Secretary Robert F.
27:19
Kennedy, Jr. now says 500 million dollars in
27:22
vaccine development projects will be halted.
27:26
The 22 projects are led by major drug
27:29
makers like Pfizer and Moderna.
27:31
The targeted vaccines are credited with slowing the.
27:35
Wait a minute, are you telling me that
27:38
Pfizer and Moderna who make billions and billions
27:42
in profits, this is right up your alley,
27:45
can't finance their own damn research.
27:48
Why are we why is the taxpayer picking
27:51
up the tab for this when they have
27:53
plenty of profits to do it and they're
27:54
going to make more money from our taxpayer
27:56
funded research?
27:58
Is that what you're saying?
27:59
Here's how the meeting went.
28:00
Hi, we're from Fiderna.
28:03
This is a new coalition.
28:04
And we want to talk to you about
28:06
editorial that, you know, we might just transfer
28:10
some money to some other department.
28:12
But Fiderna, we're very concerned about these contracts
28:16
that have been canceled.
28:16
We want to keep our name out there
28:18
to make us look like the little guy,
28:20
like the big government is trying to come
28:22
down on us.
28:23
And you have to follow it up by
28:25
saying our product, Fiderna, our product was responsible
28:30
for really saving people's lives.
28:32
But say it a little softer.
28:34
Two projects are led by major drug makers
28:37
like Pfizer and Moderna.
28:39
The targeted vaccines are credited with slowing the
28:42
2020 coronavirus pandemic.
28:44
That's perfect.
28:45
That's exactly the line I want.
28:47
Could you type that out for me so
28:48
I can give it to everybody else?
28:49
Kennedy says he wants the department to invest
28:52
in, quote, better solutions, but provided no details
28:56
on what those better solutions might be.
28:59
Let's try the next guys.
29:00
The Department of Health and Human Services plans
29:02
to cancel contracts and pull funding for some
29:04
vaccines being developed to fight viruses like COVID
29:07
-19 and the flu.
29:09
Health Secretary Robert F.
29:10
Kennedy Jr. announced that $500, $500 million.
29:15
Oh, she flubbed.
29:16
Make good, make good.
29:17
I should say, worth of vaccine development projects
29:20
using Myrna technology.
29:21
Myrna!
29:22
Tell her it's MRNA.
29:23
It's not Myrna.
29:24
Tell her it's MRNA.
29:25
She said Myrna.
29:27
I'm not paying for this spot.
29:28
This is ridiculous.
29:29
Worth of vaccine development projects using Myrna technology
29:33
will be halted.
29:34
The 22 projects are led by major pharmaceutical
29:36
companies like Pfizer and Moderna.
29:39
And these MRNA or Myrna vaccines are credited
29:42
with slowing the 2020 coronavirus pandemic.
29:44
Kennedy wants the department.
29:45
What credited with slowing, credited with slowing the
29:48
pandemic is the opposite of what is being
29:50
said by Kennedy.
29:51
Invest in better solutions, but he provided no
29:54
details on what those better solutions might be.
29:56
No, no details.
29:58
No, they have plenty of details, but there's
30:00
no details.
30:01
No, it's a catchphrase.
30:02
All of this.
30:02
And let's do it again.
30:03
Human Services is pulling $500 million worth of
30:06
vaccine development funding.
30:08
Secretary Robert F.
30:10
Kennedy Jr. said the 22 projects being halted
30:13
all use MRNA technology.
30:15
That's the type of vaccine credited with slowing
30:17
the COVID-19 pandemic.
30:19
Excellent.
30:20
Excellent.
30:20
Credited with very good.
30:21
But I didn't hear our names in there.
30:24
Kennedy said he wants the department to start
30:26
investing in better solutions.
30:28
The Department of Health and Human Services will
30:30
cancel contracts and pull funding for some vaccines
30:33
that are being developed to fight viruses like
30:35
COVID-19 and the flu.
30:37
According to AP News, this will impact 22
30:39
projects led by pharmaceutical companies like Pfizer and
30:43
Moderna.
30:44
While MRNA vaccines are credited with slowing the
30:47
2020 pandemic, Kennedy said he wants the department
30:49
to move away from MRNA vaccines, calling on
30:52
the department to start investing in better solutions.
30:55
Yes, better solutions.
30:57
OK, so that's how it works.
30:59
But let's pull in some real editorial.
31:02
And if you really want to come across
31:04
as credible and you're CBS and you're the
31:06
morning show, you bring in Dr. Selene Gounder,
31:10
who I believe the husband literally died.
31:15
I mean, it wasn't from a vax or
31:17
anything.
31:18
Wasn't that the guy, the sports reporter?
31:20
I'm pretty sure it was.
31:22
Maybe.
31:22
Pounder, Gounder, not sure.
31:23
I'm sure.
31:24
I think it was.
31:25
The Trump administration is pulling half a billion
31:27
dollars in funding for MRNA vaccine research projects.
31:31
Health and Human Services Secretary Robert F.
31:33
Kennedy Jr. says the technology is too risky,
31:36
even though it's been widely used for COVID
31:38
vaccines.
31:39
Yes, Gounder, Grant Wall.
31:42
He died at the World Cup in Qatar.
31:44
But, you know, it had nothing.
31:45
It was had nothing to do with safe
31:47
and effective vaccine.
31:48
Well, she gets paid money and she gets
31:50
paid money.
31:50
And, you know, what are you going to
31:51
do at some point?
31:52
To hell with hubby.
31:53
So to hell with hubby.
31:57
There's a show title.
31:59
So there it still galls me.
32:02
It's just that these guys is the 500
32:04
million, which is a pittance compared to the
32:08
profits these drug companies make.
32:11
It's just free money for them the way
32:13
they see it.
32:14
It's just like, oh, this is entitlement.
32:17
Oh, you know, you said you were going
32:19
to send us this free money.
32:20
We're going to use it for whatever.
32:22
But where's our free money that we don't
32:26
really need for this research that we, you
32:28
know, we're just going to slam you because
32:30
you're not going to give us free money.
32:31
This is terrible.
32:32
This whole country is confounded with this kind
32:37
of.
32:38
Entitled free money to these corporate entities that
32:41
don't deserve it.
32:42
Yeah, go get a podcast and work like
32:44
a normal person, doctor.
32:46
Let's bring in CBS News medical contributor Dr.
32:48
Celine Gounder, who is also editor at large
32:50
for Public Health.
32:51
They should say the widow, Dr. Celine Gounder.
32:53
KFF.
32:54
I'm sorry, I'm bad.
32:56
I'm that was that was bad.
32:57
I'm going to suffer.
32:59
Unnecessary roughness.
33:00
Dr. Gounder.
33:01
Good morning.
33:01
Good morning.
33:02
So what exactly is an MRNA vaccine and
33:05
why is this happening?
33:06
In the past, we have used what we
33:08
call whole virus vaccine.
33:09
So this is 1.0 technology.
33:12
Stop the clip.
33:13
You're going to love this.
33:15
Are they starting the entire lecture about MRNA
33:20
vaccines?
33:21
Over from scratch has been a reset.
33:23
Somebody hit the button.
33:24
Yes.
33:25
When did this happen?
33:26
Well, the minute Bobby came out and said
33:29
this, they have so they hit the reset
33:32
button.
33:32
And now we're going to go right back
33:33
to the beginning of the explanation for MRNA.
33:37
Yes.
33:38
But or Myrna or whatever you want to
33:39
call Myrna from Fiderna.
33:44
She has a technology explanation for this, which
33:48
I think you will enjoy since you like
33:50
the term platform so much.
33:53
In the past, we have used what we
33:55
call whole virus vaccine.
33:56
So this is 1.0 technology.
33:59
1.0 technology.
34:00
It's not technology.
34:01
It's biology.
34:03
Wouldn't you agree?
34:04
Chad, JCD.
34:08
Yes, it's biology.
34:10
Technology to me is always, you know, something
34:12
that is well, well, that was anything that
34:16
involves living organisms would be biology.
34:18
Well, that is a 1.0 of this
34:21
technology.
34:22
Let's see what 2.0 is really a
34:24
hundred year old technology.
34:25
So a lot of your older vaccines were
34:27
based on that.
34:27
You would take the virus.
34:29
You would weaken it.
34:29
You would kill it.
34:30
And that's what you would use to get
34:32
the immune response.
34:33
The problem with that is you get a
34:34
lot more side effects.
34:35
And so over time, we've tried to be
34:37
more and more specific.
34:39
2.0 technology was to have a very
34:41
specific protein.
34:42
2.0 was the protein.
34:44
2.0, 2.0. We went to 2
34:46
.0. Okay.
34:47
2.0 technology was to have a very
34:50
specific protein.
34:51
So for example, the spike protein in COVID.
34:53
I want, I want, what is the latest
34:58
iOS?
34:58
I think it should be 18.6 at
35:01
this point.
35:01
So I feel on par with my phone,
35:03
with my vaccine technology.
35:05
3.0 technology, which is mRNA.
35:09
Just wait, stop.
35:11
I forgot what was 2.0. I didn't
35:12
get that part.
35:13
2.0 was using specific proteins.
35:17
What vaccine, the name of vaccine that was
35:20
that?
35:21
What was the example?
35:22
Let's listen.
35:24
The problem with that is you get a
35:25
lot more side effects.
35:26
And so over time, we've tried to be
35:28
more and more specific.
35:29
2.0 technology was to have a very
35:32
specific protein.
35:33
So for example, the spike protein in COVID.
35:37
I don't, she may be talking about the
35:39
J and J, that they use the protein
35:41
there, the spike protein.
35:44
Or is that the mRNA?
35:46
The fight during the myrna.
35:48
Sounds like the myrna to me.
35:49
Cause that's what the deal is.
35:50
Then let's listen closely to what 3.0
35:52
is.
35:52
3.0 technology, which is mRNA.
35:55
Just to review a little bit of basic
35:57
genetics.
35:58
Your DNA, your cells produce mRNA using your
36:02
DNA.
36:02
So that's a code.
36:04
mRNA is also a code.
36:05
mRNA codes for.
36:06
It's code, it's code.
36:08
ChadGBT is going to write my myrna code.
36:10
Protein.
36:11
And it's, what the advantage of mRNA is,
36:13
is it's much faster to make than a
36:15
protein vaccine.
36:16
It's much more efficient.
36:18
And so when you're in the middle of
36:19
an emergency, like a COVID pandemic, you want
36:21
the fastest thing possible.
36:23
Something that you don't have to wait years
36:25
to develop.
36:26
I think this is a very good development.
36:28
I want all scientists involved in myrna.
36:31
The fight during the scientists in myrna.
36:33
I want them all to talk about this
36:35
like it's technology.
36:36
Because then I can say, yeah, it'll be
36:38
just as great as windows.
36:40
And everyone will go, oh, oh, maybe I
36:43
don't want that.
36:44
Because that's the truth of it.
36:47
When is it going to be the Linux
36:48
version?
36:49
Well, that would be just getting COVID and
36:51
lying down for a couple of days and
36:53
getting back up.
36:54
I got to tell you, the summer surge
36:56
here is on.
36:57
And we have a mix of people here
36:58
in Fredericksburg.
37:02
Oh, there's that sigh.
37:05
I tested.
37:06
I have COVID.
37:07
Yeah, me too.
37:08
I didn't test.
37:09
I feel kind of crappy, but I'm getting
37:11
better every day.
37:12
Yeah, but I can't go out.
37:15
What?
37:17
I can't go out.
37:19
I can't go out.
37:20
I've been brainwashed.
37:21
Yes.
37:23
Yes.
37:23
What is it?
37:24
Oh, it was full on purple.
37:27
Okay.
37:28
You got really severe.
37:29
I don't even know what that means.
37:30
The test was more purple than purple.
37:33
I don't know.
37:34
I don't know.
37:34
I've taken this test.
37:35
It's never turned any color.
37:37
It's a sigh up.
37:39
Totally.
37:39
I guess so.
37:41
All right, let's continue.
37:41
We should care about this now.
37:43
Why?
37:44
Yeah, good question.
37:45
Why should we care about it?
37:47
Why?
37:48
I feel okay.
37:50
Well, you know, we are on the precipice
37:52
potentially of another pandemic with H5N1.
37:56
When was the last pandemic before this one?
38:00
1918.
38:02
So that's about 100 years, over 100 years.
38:05
Dude, we're on the press.
38:06
When was the one before the 1918?
38:07
Why are you arguing?
38:09
This is CBS morning news.
38:11
That is Gail, Oprah's girlfriend.
38:14
Why are you arguing?
38:15
I mean, did you argue with Ellen?
38:17
So I can keep my job so I
38:19
don't get kicked out by the chat thing
38:21
you're working on.
38:22
Well, you know, we are on the precipice
38:24
potentially of another pandemic with H5N1 bird flu.
38:27
And we have been watching this, tracking this
38:29
for the last year or two.
38:32
These things are extremely unpredictable.
38:34
Could we have a pandemic in the next
38:36
month or two?
38:37
Could we have a pandemic in 10 years?
38:38
We have no idea.
38:39
But we need to be prepared is the
38:42
message here.
38:43
Like my husband used to say in the
38:44
Boy Scouts, be prepared.
38:47
He was a Boy Scout.
38:48
Well, okay, since you asked, I was going
38:50
to wait for it.
38:51
But we might as well because, and it's
38:53
coming from Fox News.
38:55
And that Fox News, they're not stupid.
38:57
They know.
38:58
They know where their bread is buttered.
38:59
And they're run by lefty nut jobs.
39:01
Breaking news.
39:02
Breaking tonight, a viral outbreak in China prompts
39:05
the Centers for Disease Control and Prevention, the
39:08
CDC, to issue a travel warning.
39:11
More than 7,000 cases of this disease
39:13
have been reported so far.
39:15
State Department correspondent Jillian Turner has details tonight
39:18
live from the State Department.
39:19
Good evening, Jillian.
39:20
Oh, yeah.
39:20
Good evening.
39:21
From the State Department.
39:22
Hello from the State Department.
39:24
State Department.
39:25
Yeah, this will be the State Department.
39:26
How come it's not our friend?
39:29
Isn't she the spokeswoman for the State Department?
39:31
What's her name?
39:32
Tammy Bruce.
39:34
Tammy, Tammy.
39:34
If it was Tammy.
39:35
But Tammy's like, no, I'm not getting involved
39:37
in this nonsense.
39:38
You go.
39:39
Live from the State Department.
39:40
Good evening, Jillian.
39:41
Good evening, Brett.
39:42
The CDC, as you mentioned, is warning Americans
39:44
traveling to China about chikungunya.
39:47
It is a virus that spreads.
39:48
Okay.
39:49
Okay.
39:49
Hold on a second.
39:50
Marketing department.
39:51
I love chikungunya.
39:52
Marketing department.
39:53
This is no good.
39:55
This is no good.
39:56
We need a better name.
39:58
It sounds like the new variation of a
40:01
burrito at some Mexican restaurant.
40:05
Chikungunya with refried beans.
40:08
Humans through infected mosquito bites.
40:09
It can cause severe illness with symptoms that
40:13
mimic pretty closely dengue fever and Zika virus.
40:16
Ah, Zika.
40:17
Small heads are coming.
40:18
Zika, Zika, Zika.
40:19
Small heads are coming.
40:20
It's mostly found in Africa.
40:22
Here's what the CDC says about it.
40:25
They say most people infected get better within
40:26
a week.
40:27
However, some can have severe joint pain for
40:29
months to years.
40:31
Other symptoms include severe fever and fatigue.
40:34
The outbreak now is in the Chinese province
40:37
Guangdong.
40:37
It's near Hong Kong with more than 7
40:39
,000 cases reported so far, prompting some pretty
40:42
dramatic measures to contain the spread, like mandatory
40:47
insect repellent blasts for people entering the area,
40:50
mandatory property checks for stagnant water, which attracts
40:53
mosquitoes, and when found is now punishable by
40:56
fines or even arrest.
40:58
Yeah, we're going to blast you with insect
40:59
repellent.
41:00
This is great.
41:00
All we need now is a couple of
41:02
TikTok videos of people falling dead on the
41:05
street.
41:05
Come on, China.
41:06
Come on.
41:07
But don't worry.
41:08
Don't worry.
41:08
This particular outbreak won't actually kill you.
41:12
The CDC says Americans traveling to eight other
41:15
countries are also at elevated risk of exposure
41:18
to the virus.
41:19
Even if there is no current outbreak there,
41:23
people at risk for more severe cases of
41:25
chikungunya include newborns, seniors 65 years and up.
41:30
As well as people with diabetes or heart
41:33
disease.
41:33
Now, the good news is that unlike COVID,
41:36
deaths from this disease are exceedingly rare.
41:39
You can also protect yourself by getting vaccinated
41:42
against it or by preventing mosquito bites in
41:45
the first place through all the usual mechanisms,
41:47
insect repellent, netting, wearing long sleeves, and staying
41:50
in air conditioning.
41:51
John, break out that we need netting.
41:53
We need to get netting.
41:54
We need netting hats.
41:56
We need netting shirts.
41:57
We need mosquito.
41:58
It'll be chikungunya, protective gear.
42:01
It has to be netting, netting.
42:03
Netting is the new way because if you
42:05
don't, well, we're going to lock you up.
42:08
If you happen to get this, they're quarantining
42:10
you in hospitals with mosquito netting and not
42:13
letting you out for a week.
42:14
These are the kind of draconian responses we
42:18
saw with COVID.
42:19
We're seeing it again.
42:20
I can't wait.
42:21
Bring it on.
42:22
Bring on your chikungunya.
42:23
I'm good.
42:24
Your chikigori.
42:25
It's all good.
42:26
It's all good.
42:27
Now, of course, we need to expand our
42:31
anti-Bobby the Op campaign because we are
42:34
very, very concerned about parents who are just,
42:39
you know, I'm just not trusting all these
42:42
vaccines.
42:42
There's too much talk about, you know, should
42:45
we really be giving our kids 76 vaccines
42:48
within the first four years of their lives?
42:51
I'll tell you what.
42:52
Oh, there's one other problem.
42:54
All of the doctors, the pediatricians, they're really,
42:58
I mean, the income is down.
43:00
Revenue is down.
43:01
Advertising, underwriting, whatever you want to call it,
43:03
revenue is down because we get a big
43:05
bonus for all of the fully vaccinated children
43:08
that we have attending our practice.
43:10
So I think, you know, we have, we
43:13
got a new president for the Association of
43:16
Family Doctors.
43:17
Let's give her a script.
43:19
Let's make sure that the newsreader has the
43:22
script.
43:23
Let's throw in a couple of new terms.
43:26
We'll have her repeat them a lot and
43:28
him as well.
43:28
And let's see if we can get the
43:30
ball rolling here, shall we?
43:31
New data from the CDC shows the rate
43:33
of vaccinations among kindergartners has dropped again.
43:36
There are more than 280,000 kindergartners who
43:39
are not protected against measles.
43:41
Dr. Sarah Nozal is the president-elect of
43:44
the American Academy of Family Physicians and joins
43:46
us now live.
43:47
Thanks for being with us.
43:48
First of all, let's talk about what's behind
43:50
the drop.
43:50
I know early on after COVID, people were
43:53
a little kind of vaccine.
43:54
They should have just had in the scripts,
43:56
Trump.
43:56
That would have been easier, but no, okay.
43:59
COVID, people were a little kind of vaccine
44:01
exhausted.
44:02
Vaccine exhausted.
44:03
This is a new term.
44:04
He's not doing it exactly right, but we'll
44:06
take it.
44:07
It used to be vaccine hesitant.
44:09
They are changing this narrative to vaccine exhausted.
44:13
I'm just- Good catch.
44:14
Oh, it gets better.
44:15
COVID, people were a little kind of vaccine
44:17
exhausted, if you will.
44:19
What do you think is behind parents not
44:21
getting their kids vaccinated nowadays?
44:23
So many families are not engaged with their
44:26
regular family doctor or pediatrician.
44:28
Getting all of their questions answered.
44:30
I think finding that trusted source to ask
44:33
those questions.
44:34
She's reading.
44:34
She's reading, okay?
44:35
She's reading.
44:36
Listen to the read.
44:37
About how important should this be?
44:39
When we're asking families now and we're then
44:42
surveying across the country, families are saying this
44:44
is not as important as it used to
44:47
be 10, 20 years ago to have your
44:49
child fully vaccinated.
44:50
And that's really concerning to us as family
44:53
physicians and communities, where the whole community of
44:56
immunity is what's going to be really critical
44:57
to protect not just all of us, but
45:00
your kid at home and when they go
45:02
to school.
45:03
Now, did you hear her new phrase?
45:07
No.
45:07
Community of immunity.
45:10
Oh, I missed it.
45:11
Oh, it's coming up again.
45:12
Don't worry.
45:12
And we've had kind of a real world
45:14
test of this, if you will, in Texas.
45:16
Those dumb rednecks down in Texas.
45:19
Real world.
45:19
That was a test.
45:20
It was a test.
45:21
Those idiots.
45:22
By the way, just as an interruption here,
45:23
did you know that compared to Texas, that
45:26
Texas pales.
45:27
Canada is much worse.
45:29
Alberta.
45:29
Alberta, Canada, much worse than Texas.
45:31
I know.
45:32
I know.
45:33
What is the rationale for not playing that
45:37
up in the script?
45:38
Hello.
45:41
This is Chicago WGN.
45:43
This is MedWatch.
45:44
This is for Americans.
45:46
If we, oh, Canada, who gives a crap
45:48
about Canada?
45:48
But we can laugh about the Texas.
45:50
You don't want to be about like Texas.
45:51
Yeah.
45:52
A lot of it has to do with
45:53
this old theory that you want to put
45:55
a bunch of dumb rednecks.
45:56
Yes.
45:56
Hey, let's talk to the man on the
45:58
show.
45:59
Well, I'm here on the street and I
46:01
don't know anything.
46:03
I'm dumb.
46:03
You can tell by listening to my voice
46:05
and my accent.
46:07
If you will, in Texas, let us know
46:10
how that kind of evolved and whether or
46:13
not it was the outbreak that people had
46:15
feared.
46:15
The measles outbreak in Texas shows us exactly
46:18
why a community of immunity and what sometimes
46:21
we've heard of as herd immunity is really
46:24
important.
46:24
Measles is the most contagious of all of
46:27
the vaccination infectious diseases we can prevent.
46:31
And we really need more than 95 percent
46:33
of our kids and our communities to be
46:35
vaccinated to make sure we don't risk an
46:37
outbreak like we're seeing in Texas.
46:41
And so as we're seeing across the board,
46:44
CDC vaccines are falling from 95 percent before
46:47
the pandemic, little by little, down into the
46:49
low 90 percentages.
46:51
We know we're OK.
46:52
Hold on.
46:53
Let's just talk about percentages.
46:55
It fell from 95 percent down into the
46:58
low 90s, which could be 93 of 90.
47:03
If you got to 91, it could be
47:05
94.
47:05
I mean, so we're talking a couple of
47:07
percentage points.
47:09
As we're seeing, it dropped from 95 percent
47:11
down into the low 90s because she's correct
47:15
in that regard.
47:16
People are just watching us go drooling across
47:20
the board.
47:21
CDC vaccines are falling from 95 percent before
47:24
the pandemic, little by little, down into the
47:26
low 90 percentages.
47:28
We know we're risking losing our community of
47:30
immunity that there is a community of immunity.
47:34
She does it twice.
47:34
Now, let's get his phrase correct, because he
47:37
tried to just do it to try to
47:41
look natural and not read the prompter.
47:43
And then while she was talking, he got
47:45
in his ear like, OK, that was a
47:47
good ad lib, but we'd really like you
47:49
to stick to the script, OK?
47:50
So what do you do about it?
47:52
If it's that important and you want to
47:55
get the message out, how do you reach
47:57
people who are vaccine skeptical or just vaccine
48:01
tired?
48:01
That's it.
48:02
Vaccine tired.
48:03
That's better.
48:04
Much better.
48:05
And how do you get the message out?
48:07
By paying for editorials like this.
48:10
The first place is to make sure you
48:11
go and talk to your trusted physician.
48:14
Your family doctor, your pediatrician will be there
48:16
for you to discuss and go through what
48:18
vaccines are recommended.
48:20
All of the evidence shows that you want
48:22
to get every single recommended vaccine together and
48:25
on time.
48:26
That's a common question that patients ask is,
48:28
is it better to space it out?
48:29
And you want to get all of those
48:31
vaccines on time.
48:33
That is the most beneficial and has the
48:35
best outcome when those kids have the immune
48:37
systems ready to go and ready to protect
48:39
them going forward.
48:40
You see, they can't time their stock purchases
48:42
if it's not all in one go.
48:44
You got to have it on time so
48:46
the doctors know how much money they'll be
48:47
getting so they can, you know, buy into
48:50
Nancy Pelosi's portfolio or whatever it is they
48:53
do.
48:53
This is ghoulish, this lady.
48:57
She's the new president.
49:00
I'm going to guess what happens next because
49:02
you have more clips.
49:03
I think you do.
49:04
No, no, I don't have more clips of
49:05
her.
49:05
Oh, really?
49:06
Because I would have sworn the next thing
49:08
would have happened.
49:09
He would have said to her.
49:11
I walked right into it, didn't I?
49:14
He would have said.
49:17
So what is the purpose?
49:19
Don't you think we should revisit the idea
49:22
that the vaccine manufacturers are immune to any
49:26
sort of liability because not because the vaccines
49:31
are no good, but they should not be
49:33
immune to liability for the simple fact that
49:36
it ensures that the manufacturing process is kept
49:40
on the up and up so they don't
49:41
get careless?
49:42
And because it's getting careless, you would get
49:44
some liability issues.
49:45
So don't you think that it's time to
49:47
revisit the liability issue?
49:49
Because it's the only product that's sold like
49:52
this.
49:52
All the other drug products, all products, all
49:56
products, right?
49:58
All products except this one product have to
50:02
be made responsibly.
50:05
Thus, liability issues and liability laws do apply
50:09
to all products ever made except this one
50:12
product.
50:12
Don't you think that should be revisited?
50:14
I think we should pose that question to
50:16
Robert Kennedy, Jr. Wasn't that one of his
50:21
promises at some point?
50:23
I think it was.
50:24
It wasn't part of the big three, I
50:27
think.
50:27
But I think he's mentioned it.
50:28
Come on.
50:29
I mean, come on.
50:30
The American people should demand this.
50:33
We should demand liability.
50:36
Amen.
50:36
And I'm going to go back to this.
50:38
I've said it before.
50:39
I'll say it again.
50:40
I'll say it forever as long as this
50:41
podcast is on the air.
50:42
If you recall during the swine flu phony
50:47
baloney pandemic.
50:48
Well, the 1976 or the or the 2000.
50:53
The one that we covered.
50:54
Yeah.
50:54
Yeah.
50:55
Nine, I guess.
50:55
I think it was nine.
50:57
Where they had lines around the block.
51:00
They had actually were shipping live virus in
51:04
many of the batches.
51:08
That were making people deathly sick.
51:11
And there was no liability for any of
51:13
this sloppy production.
51:15
I mean, I think it may have been
51:17
doing it on purpose for obvious reasons.
51:19
But let's say they weren't.
51:21
It was just sloppy.
51:22
They can put dog shit in these shots
51:24
and you can't sue anybody.
51:26
Who says they don't?
51:29
They might.
51:30
Well, just to round this out.
51:33
I was fortunate enough to get a quick
51:37
hit, as we say in the biz.
51:39
I did a quick hit there on the
51:41
network from Dr. Peter Hotep.
51:44
BARDA reviewed 22 MRNA vaccine development investments and
51:50
began canceling them.
51:51
Health Secretary Robert F.
51:53
Kennedy Jr., who has made anti-vaccine claims
51:55
in the past, announcing that the technology behind
51:58
COVID vaccines won't be funded anymore.
52:00
As the pandemic showed us, MRNA vaccines don't
52:03
perform well.
52:04
The vaccine paradoxically encourages new mutations and can
52:09
actually prolong pandemics as the virus constantly mutates
52:12
to escape.
52:13
Yeah, so none of that is actually true.
52:16
The vaccines managed to keep many, many people
52:18
out of the hospital.
52:19
Angela Rasmussen is a virologist at the University
52:22
of Saskatchewan.
52:23
Experts see this decision as a bad bet
52:25
against a life-saving, Nobel Prize winning technology
52:28
that pulled humanity through a long pandemic.
52:31
And the health secretary is wrong about what
52:33
makes them longer.
52:34
Viruses mutate when they replicate.
52:36
And they replicate when they spread.
52:38
The best way to prevent a virus from
52:40
spreading is to make sure those people are
52:42
protected against the virus by vaccination.
52:47
The jabs that protected billions, including children and
52:51
the elderly, took testing, clinical trials, mass production
52:54
and distribution.
52:55
But it was all possible in less than
52:57
a year because of this novel technology.
53:00
MRNA technology makes it really possible to rapidly
53:03
respond to a novel emerging virus.
53:05
Which means this funding loss, $500 million U
53:08
.S., is a bet against fighting future infectious
53:11
diseases and possibly more.
53:13
I'm sorry, it's in this clip.
53:14
That was the same report.
53:15
Dr. Peter Hotez is co- You, you,
53:17
you.
53:17
No, here it is.
53:19
Your guy.
53:20
I know.
53:20
You are all salivating.
53:21
You're ready to hear Hotez.
53:22
Dr. Peter Hotez is co-director of the
53:24
Texas Children's Hospital Center for Vaccine Development.
53:27
MRNA technology is looking really exciting for next
53:30
generation cancer immunotherapeutics.
53:33
So this will throw cold water on a
53:35
whole big effort that we're pursuing as well.
53:37
Beyond the exciting potential, Hotez also sees a
53:39
potential chilling effect on pharmaceutical companies.
53:41
The U.S. is still the single largest
53:43
vaccine market.
53:44
If the U.S. Oh, talking about markets
53:46
now all of a sudden, are we?
53:48
I mean, what is that?
53:50
Are you interested in money?
53:51
Is a marketing guy all of a sudden?
53:53
I guess so.
53:53
The U.S. market's the biggest market for
53:55
vaccination because of guys like him.
53:57
Yep.
53:58
U.S. is still the single largest vaccine
54:00
market.
54:00
If the U.S. is made an executive
54:03
decision not to support advanced purchase of MRNA
54:07
vaccines.
54:08
Advanced purchase?
54:10
This guy is in the pipeline.
54:13
Advanced purchase?
54:14
What has that got to do with the
54:15
price of bread in the discussion?
54:18
Well, it sounds to me like some of
54:20
these contracts were advanced purchases for, you know,
54:23
the chikungunya with beans.
54:26
Or who knows what?
54:28
There's something fishy.
54:29
The more we hear, the fishier this sounds.
54:33
Yes.
54:33
Is made an executive decision not to support
54:37
advanced purchase of MRNA vaccines.
54:40
And then it's not clear to me whether
54:42
the companies will want to pursue this.
54:44
We're prioritized.
54:45
This is very interesting because that is not
54:48
the way this was laid out to us.
54:51
What we were hearing is research contracts were
54:54
being canceled.
54:55
Hotez spilled the beans here.
54:58
The chikungunya with beans.
54:59
He spills the beans by saying, well, they're
55:02
canceling their advanced buying contracts.
55:07
Money in the bank.
55:08
That's the only thing that makes sense.
55:10
If you heard my earlier screed.
55:12
Yes.
55:13
About why are they, what is Pfizer and
55:15
Moderna?
55:16
Pfi-der-na, I think is a good
55:18
name, by the way.
55:18
Thank you.
55:19
Why are they?
55:21
Mad.
55:22
Moaning and groaning so much.
55:24
They're moaning and groaning because these were, this
55:25
was not about research at all.
55:27
The reports are bogus.
55:29
The sales guys, you know, they just saw
55:31
their commission drop through the floor.
55:32
What is this all about?
55:34
You can't cancel a contract.
55:35
We had a deal.
55:36
That's $50 million in commissions.
55:38
Minimum.
55:39
We had a deal, man.
55:40
Not to support advanced purchase of MRNA vaccines.
55:45
And then it's not clear to me whether
55:46
the companies will want to pursue this.
55:49
We're prioritizing the development of safer, broader vaccine
55:52
strategies.
55:53
Like a whole virus vaccines.
55:55
Experts also say RFK Jr.'s bet on traditional
55:57
vaccine technology is a bad one.
55:59
It's not that these vaccines don't work.
56:02
They do, but they don't work.
56:03
Stop, stop.
56:04
These guys are shooting themselves in the foot
56:06
if you think about it.
56:07
I know.
56:09
Why are we using these other vaccines at
56:12
all?
56:13
They're no good, it says, sounds like.
56:16
Experts also say RFK Jr.'s bet on traditional
56:18
vaccine technology is a bad one.
56:21
It's not that these vaccines don't work.
56:22
They do, but they don't work as well
56:24
as MRNA vaccines.
56:26
Canadians are involved in MRNA.
56:27
So why should I take the MMR vaccine
56:29
if it's not as good?
56:31
It's 1.0 technology.
56:34
You know what?
56:36
I think there's a mad dash.
56:37
I think they're scrambling.
56:38
The message is not cohesive.
56:41
There's something going on.
56:44
I agree.
56:45
There's something going on that we're unaware of.
56:48
It's a missing piece of the puzzle.
56:50
And it would explain a lot.
56:51
Hotez may have given some of it away.
56:54
Sounds like it.
56:54
You're right.
56:55
Because, you know, the thing is, they read
56:56
everybody in on these scams that they produce
57:00
for the public's benefit.
57:02
All the local news stations, it's pretty much
57:04
the same reporting that you play example after
57:07
example.
57:07
And they would assume that Hotez has got
57:11
the same script when they bring him on
57:13
so they don't have to read him in.
57:14
And he was too busy eating burgers.
57:17
And me, he looks like, yes, he'll give
57:22
you some money tomorrow for the burger you
57:23
give him today.
57:26
Let's just finish 20 seconds.
57:27
Let's finish it.
57:28
These don't work.
57:29
They do.
57:30
But they don't work as well as mRNA
57:31
vaccines.
57:32
Canadians are involved in mRNA research.
57:34
It's not clear how much this funding hit
57:36
will affect global development.
57:38
But experts warn that this is just part
57:40
of a wider effort by Donald Trump's administration
57:42
to cut back on scientific investment.
57:45
Money, in this case, that would pay off
57:47
massively in the form of life-saving vaccines.
57:50
Oh, oh, brother.
57:54
Oh, boy.
57:55
And that was from CBC, the guys who
57:57
have the most measles.
57:59
But, oh, yeah, Trump.
58:00
Right, they do.
58:01
Alberta, in particular.
58:03
It's Trump.
58:03
It's Trump's fault.
58:04
It's Trump.
58:06
It's just...
58:06
Wow.
58:07
Yeah.
58:07
Wow is right.
58:08
This is terrible.
58:09
That they're trying to pull this stunt on
58:12
the public at large.
58:12
They're winning, generally, because they barrage the public.
58:16
This is what I feel bad about.
58:18
The public at large is barraged by this
58:21
blatant propaganda, scripted propaganda.
58:25
We show it over and over again.
58:26
The exact same wordage, the exact same questions,
58:29
the exact same answers from the exact same
58:32
stooges over and over.
58:34
And they inundate, they flood the zone with
58:41
this bullcrap.
58:42
So now try to square that with this
58:48
report on NBC this morning, because we know
58:52
now that it's very important to have research,
58:56
scientific research.
58:58
Research is necessary.
59:00
It's good.
59:00
It saves lives.
59:01
We have to be ready.
59:03
We've got to pre-purchase.
59:04
But research is important.
59:07
And then all of a sudden, NBC comes
59:09
out with this.
59:10
We are back with a growing trend that
59:12
is worrying scientists.
59:14
Fake research is being produced on an industrial
59:16
scale, then getting published in legitimate journals.
59:21
Like the Journal for Immunology.
59:24
A new study released on Monday revealed the
59:26
number of fraudulent papers has been doubling every
59:28
one and a half years.
59:30
Researchers say those fake papers typically include doctored
59:33
images, plagiarized text, even AI-generated content.
59:38
They're designed to easily avoid expert intervention.
59:41
That's undermining the trust and high standards that
59:44
scientists depend on.
59:47
Okay, so now I'm confused.
59:50
Is this a Hegelian dialectic?
59:52
What is going on here?
59:53
New York Times columnist Carl Zimmer joins me
59:55
now.
59:55
He spoke with some of the researchers who've
59:57
been looking into this issue.
59:58
Carl, good to have you with us.
1:00:00
So can you explain how fake research manages
1:00:02
to get published in these journals?
1:00:04
I mean, I think we all assume there
1:00:06
are checks in place to try and prevent
1:00:07
this.
1:00:08
Well, now this is a good question.
1:00:10
How does that happen?
1:00:11
Don't we have peer review?
1:00:13
Don't we have experts looking at this stuff?
1:00:15
Well, no.
1:00:16
We assume that, and it turns out that's
1:00:18
not always the case.
1:00:20
You will have scientists working individually or even
1:00:26
entire companies that make a business out of
1:00:29
this that will produce papers that are really
1:00:31
not based on fact.
1:00:33
They will show fabricated images.
1:00:37
They will make claims about experiments that didn't
1:00:39
take place.
1:00:41
And then these papers are submitted to journals
1:00:45
where they're supposed to go through peer review.
1:00:47
Sometimes they slip through.
1:00:49
Nobody notices until they're accepted because they look
1:00:52
legitimate.
1:00:53
In other cases, editors are actually being bribed.
1:00:56
There's got to be a reason the NBC
1:00:58
is being bribed.
1:00:59
What?
1:01:01
There's got to be a reason they're doing
1:01:03
this.
1:01:03
Something is coming here.
1:01:04
There's going to be some kind of change
1:01:07
because this process is being discredited.
1:01:09
The very process that we are told to
1:01:12
believe is saving our life with life-saving
1:01:15
vaccines so we can have a community of
1:01:17
immunity.
1:01:18
How big of a problem is this for
1:01:20
science?
1:01:21
And help us understand why those of us
1:01:23
who aren't scientists should be so concerned about
1:01:25
it.
1:01:26
Here's the thought.
1:01:27
Maybe, maybe what we're seeing here is a
1:01:31
separation of biology and technology.
1:01:36
So we can say, well, the scientists over
1:01:39
there, they're a bunch of phonies.
1:01:42
We on this side, we have MRNA 3
1:01:45
.0. This is technology.
1:01:47
You can trust what we're doing over here.
1:01:50
Possible, possible.
1:01:51
I'm just trying to come up with something
1:01:53
because this is bugging me.
1:01:54
Well, science works because scientists can build on
1:01:58
each other's work.
1:02:00
If you want to figure out a cure
1:02:04
for cancer, you want to go and look
1:02:06
at what other people have looked at before
1:02:08
for the kind of cancer you're trying to
1:02:11
cure.
1:02:11
Maybe you want to build on what someone
1:02:13
else did.
1:02:14
If someone else just presented an illusion, you
1:02:16
might waste years trying to build on their
1:02:19
work because it was a dead end.
1:02:21
It's that serious.
1:02:23
I'm I think here's my thesis.
1:02:26
OK, go.
1:02:28
It's a smoke screen.
1:02:29
There's good research out there that shows a
1:02:32
lot of the stuff that they're selling us
1:02:33
is bull crap.
1:02:34
I would put MRNA in that category.
1:02:36
But wait, wait, wait, wait, whoa, whoa, whoa.
1:02:39
It won a Nobel Prize, man.
1:02:43
Yes, well, I could win a Nobel Prize.
1:02:46
Doesn't mean you should be shooting it to
1:02:47
your body.
1:02:49
OK, fair point.
1:02:50
I mean, a lot of things win a
1:02:51
Nobel Prize.
1:02:52
Obama, Obama, he won a Nobel Peace Prize.
1:02:57
OK, well, to the average, it's a different
1:02:59
country.
1:03:00
The point is, is that you there is
1:03:05
good research out there that indicates a lot
1:03:07
of bad things.
1:03:09
And so what you want to do is
1:03:10
cover it to create a smoke screen of
1:03:13
bad research and just flood the zone with
1:03:15
bad research.
1:03:16
Wait, wait, maybe this is because Kennedy's about
1:03:18
to unveil all this about the corruption between
1:03:21
the editors and the papers.
1:03:23
Well, he won.
1:03:23
That's number three on his list.
1:03:25
That was one of his RICO case.
1:03:28
So blame it on the editors and blame
1:03:31
it on rogue elements.
1:03:33
OK, the only actually the only thing in
1:03:35
that report that you played that it stuck
1:03:38
out to you, too.
1:03:39
In fact, it took you five beats.
1:03:40
I don't know why it took you so
1:03:41
long.
1:03:41
I'm slow.
1:03:42
I need more gigawatt.
1:03:44
Something.
1:03:45
Yeah.
1:03:48
Is that the editors are being bribed.
1:03:51
Yes.
1:03:52
Well, there's two more bits here.
1:03:54
The Trump administration has proposed more cuts to
1:03:56
federally funded research that would include fields, physics,
1:04:00
climate science, manufacturing.
1:04:03
How much could those cuts affect this issue?
1:04:06
The scientists I've talked to are very concerned
1:04:09
that this could really accelerate this problem with
1:04:13
fraud because you're looking at tremendous cuts and
1:04:19
you're going to have a whole field of
1:04:20
American science where scientists and graduate students are
1:04:24
looking for jobs are desperate.
1:04:27
There'll be very little support, fewer posts.
1:04:31
And so the the the attraction to cutting
1:04:35
corners and maybe even fabricating is going to
1:04:38
go way up here in the United States.
1:04:40
All right.
1:04:40
Let's get to the final clip, because the
1:04:42
question is, what needs to happen to stop
1:04:44
this?
1:04:44
You spoke with the experts.
1:04:46
What do they say needs to happen to
1:04:47
try and stop this fraud from happening?
1:04:49
Fraud.
1:04:51
Really, we need to overall how.
1:04:53
What was that?
1:04:54
Yeah, it was like a tell.
1:04:56
That was a tell of some sort.
1:04:58
Really, we need to overall how we look
1:05:03
at the value of science and how we
1:05:05
reward scientists.
1:05:07
You know, in a lot of countries now,
1:05:09
you have to publish 10, 20 papers a
1:05:13
year to even be considered to for promotion.
1:05:15
And that's got to stop.
1:05:17
We have to focus on the quality of
1:05:19
science and maybe be publishing less science.
1:05:22
You also mentioned some other things here, including
1:05:24
banning scientists who commit misconduct from getting published
1:05:27
in the future.
1:05:28
That seems like an important thing, too, right?
1:05:30
Absolutely.
1:05:31
Yeah, they're the punishments such as they are
1:05:33
are just not enough to keep people away
1:05:37
from this activity, as you can see, because
1:05:39
it is growing exponentially.
1:05:40
I think you're right.
1:05:42
Chad JCD.
1:05:43
I think you're absolutely right.
1:05:45
They're going to hang out a couple of
1:05:47
scientists and a bunch of editors out to
1:05:50
dry as corrupt.
1:05:51
They've corrupted the system.
1:05:53
We've rooted it out and it's all good
1:05:55
now.
1:05:59
Well, it's coming down Broadway.
1:06:02
Yeah.
1:06:04
All right.
1:06:05
I mean, Kennedy gave away what he wants
1:06:07
to do, so it's not as though you
1:06:09
can't prepare for it.
1:06:10
They are.
1:06:10
Well, that was a preparation for sure.
1:06:15
Preparation.
1:06:15
All right, let's do something else.
1:06:16
What you got?
1:06:17
I like preparation.
1:06:18
That's preparation.
1:06:19
What else you got?
1:06:19
You got some you got lots of other
1:06:20
stuff here.
1:06:21
You got I got stuff.
1:06:23
How about you want to Texas, Texas, Texas,
1:06:26
Texas?
1:06:27
Yeah, I got a lot of stuff on
1:06:28
Texas is good.
1:06:29
Yeah, because I have this thing going on.
1:06:31
Yeah, I know.
1:06:32
I got details when you're ready.
1:06:33
Go for it.
1:06:34
OK, well, I got I got the Texas
1:06:36
update.
1:06:36
Then I have a couple of short super
1:06:38
cuts.
1:06:38
OK, Texas update NTV first.
1:06:40
The latest in the Texas redistricting battle, the
1:06:43
state's governor and attorney general are pushing to
1:06:45
get absent Democrats ousted from office.
1:06:48
And a U.S. senator from Texas is
1:06:50
asking the FBI to get involved.
1:06:52
Entity's Melina Weiskup has the updates.
1:06:55
Dozens of Democrat state lawmakers from Texas remain
1:06:57
out of state.
1:06:58
There being 94 members present, a quorum is
1:07:01
not present.
1:07:02
Facing arrest warrants and now possible removal from
1:07:05
office.
1:07:06
I'll pay that price for America.
1:07:08
And I think everyone behind me would say
1:07:10
they would do the same.
1:07:12
Texas Governor Greg Abbott is asking the state
1:07:14
Supreme Court to remove the state House Democratic
1:07:17
Chair Jean Wu.
1:07:19
The governor wrote Texas House Democrats abandoned their
1:07:21
duty to Texans.
1:07:23
And there must be consequences.
1:07:25
As for the other Democrats, the attorney general
1:07:27
is giving them until Friday to return or
1:07:29
he'll seek to remove all of them from
1:07:31
office.
1:07:32
Redistricting happens every 10 years after a census.
1:07:35
And so this is not the regular way
1:07:37
that we do redistricting.
1:07:39
Their goal is to block a Republican backed
1:07:41
redistricting vote.
1:07:43
That would give the GOP a competing chance
1:07:45
in Democrat held districts.
1:07:47
These voters in these districts won by Trump.
1:07:50
They don't have the ability to vote for
1:07:52
their candidate of choice now because they're in
1:07:55
congressional districts.
1:07:56
They're in a Democrat district as opposed to
1:07:59
a district won by Trump.
1:08:03
So let me just give a definition because
1:08:06
it's thrown about.
1:08:07
And I have the origin of the term
1:08:10
gerrymandering.
1:08:12
Yes, this is quite good.
1:08:13
And this is very valuable because of where
1:08:15
it started.
1:08:17
Gerrymandering is the manipulation of congressional district boundaries
1:08:21
to favor one political party or group.
1:08:24
And this is this is done through the
1:08:26
census.
1:08:28
It is the census counts a number of
1:08:30
people.
1:08:30
It involves drawing district lines in ways that
1:08:33
concentrate or dilute voters to influence election outcomes,
1:08:38
often creating oddly shaped districts.
1:08:41
And if you look at Texas, wow, is
1:08:42
it ever?
1:08:44
It comes from Elbridge Gerry, who redistricted Massachusetts
1:08:52
in 1812.
1:08:53
And it was so nuts, it resembled on
1:08:56
the map a salamander, hence gerrymandering.
1:09:00
So it is a Democrat idea.
1:09:03
But it has been deployed successfully throughout many
1:09:06
states.
1:09:07
And if you look at Texas, it is
1:09:09
crazy how these districts are drawn.
1:09:13
Yes, it's crazy.
1:09:14
And California is even worse.
1:09:15
But my favorite one, of course, is where
1:09:17
it began, which is Massachusetts.
1:09:20
And I don't have I don't have a
1:09:21
clip of this woman, but the governor of
1:09:23
Massachusetts.
1:09:24
And, of course, Gavin Newsom.
1:09:26
We've talked about this before.
1:09:27
He says he's going to start.
1:09:29
You know, all these Democrats said they're going
1:09:30
to gerrymander this.
1:09:31
They've already done it.
1:09:32
They've already gerrymandered state.
1:09:34
What more can you do?
1:09:36
And Massachusetts is the funny one because the
1:09:39
governor came out and said, well, if they're
1:09:40
going to do it, then we're going to
1:09:41
do it.
1:09:42
There is not one single Republican in Congress
1:09:46
from Massachusetts.
1:09:48
What can you do?
1:09:49
There's not one.
1:09:51
They've already gerrymandered the state to death.
1:09:53
So there's not one single Republican.
1:09:56
And they're going to do what?
1:09:57
You know, the origins of of this controversy
1:10:02
actually comes from the Justice Department.
1:10:07
I don't know if you're interested, but it's
1:10:09
not like the Texas Republicans sat down and
1:10:12
went, well, I've got an idea.
1:10:14
Let's do this.
1:10:15
This was mandated because the way the districts
1:10:21
were made up in Texas was based on
1:10:24
the census, the most recent census, which had
1:10:27
millions of illegal aliens.
1:10:31
Yeah, it's a huge issue.
1:10:33
That's where it all comes from.
1:10:35
And so the Justice Department said it's going
1:10:36
to the Supreme Court.
1:10:37
And I think they'll have the same opinion.
1:10:39
It's like, no, no, you've got to change
1:10:41
this.
1:10:42
You know, there's a lot of noise out
1:10:44
there like, yeah, let's do a new census.
1:10:46
Let's do one real quick.
1:10:47
I don't know if that's going to happen.
1:10:49
That's that's that's a big deal.
1:10:50
Well, there's a couple.
1:10:52
There's one explanation in clip three that is
1:10:55
worth noting, but let's play clip two and
1:10:58
then we'll get to three.
1:10:59
That's usually how it goes.
1:11:01
If Democrats return for the vote, the map
1:11:03
is almost certain to be approved.
1:11:05
So they're trying to run out the clock.
1:11:07
We have to know our lines by maybe
1:11:09
October.
1:11:10
So the time is ticking and it's ticking
1:11:12
away really fast.
1:11:13
That is why you see the attorney general
1:11:15
as well as the governor getting very aggressive
1:11:17
because you can't just change the lines and
1:11:19
you can't change the primary without the Democrats
1:11:22
being there and providing a quorum.
1:11:24
U.S. Senator John Cornyn of Texas has
1:11:26
asked the FBI to help arrest them for
1:11:29
return to Texas, writing federal resources are necessary
1:11:33
to locate the out-of-state Texas legislators
1:11:35
who are potentially acting in violation of the
1:11:38
law.
1:11:38
All right.
1:11:40
OK, so so this is all, you know,
1:11:43
with everybody's reporting, but this next clip where
1:11:45
they bring an analyst in the old analyst
1:11:49
who actually tells us some new things that
1:11:52
probably generally aren't known.
1:11:55
The Trump administration has pushed for Texas to
1:11:57
change its congressional map, arguing that past gerrymandered
1:12:01
maps have created unconstitutional coalition.
1:12:04
Boom, boom.
1:12:04
Where's this from?
1:12:05
That was correct.
1:12:07
NTD is NTD.
1:12:08
Yeah.
1:12:09
NTD.
1:12:09
Yeah.
1:12:10
Well, they were right.
1:12:10
That's exactly is the justice, not not Abbott.
1:12:13
The Justice Department said, look, this thing has
1:12:17
been gerrymandered.
1:12:18
You know, the Republicans would probably have 30
1:12:20
to 40 more seats in Congress if they
1:12:25
fix the way these districts have been carved
1:12:27
up.
1:12:28
The Trump administration has pushed for Texas to
1:12:30
change its congressional map, arguing that past gerrymandered
1:12:34
maps have created unconstitutional coalition districts.
1:12:37
What are coalition districts?
1:12:39
Coalition district is a district that provides electoral
1:12:42
opportunities for a group or a coalition of
1:12:45
racial minority communities, maybe a black and Hispanic
1:12:48
community or Hispanic and an Asian community taken
1:12:51
together.
1:12:52
Professor Doug Spencer, a constitutional law expert, says
1:12:55
coalition districts help to remedy violations of the
1:12:58
Voting Rights Act.
1:12:59
Different circuits across the United States have interpreted
1:13:02
the Voting Rights Act differently.
1:13:04
But in Texas, the Fifth Circuit has held
1:13:06
that a coalition district is a constitutional and
1:13:10
an appropriate remedy under the Voting Rights Act.
1:13:12
So the Department of Justice here is going
1:13:15
out on a limb and hoping that maybe
1:13:16
the Fifth Circuit of the federal courts will
1:13:19
adopt some of the logic that has appeared
1:13:22
in other circuits.
1:13:23
Attorney Gerard Felitti told NTD on Tuesday that
1:13:26
the act prohibits drawing maps on the basis
1:13:28
of minority groups.
1:13:30
When it has an impact on the process
1:13:32
or the procedure of voting.
1:13:33
So when you look at the Voter Rights
1:13:36
Act, what that tells you is that if
1:13:38
there is a redistricting that's done on the
1:13:40
basis of coalition or non-coalition, it might
1:13:42
change the way that minorities vote or can
1:13:45
vote or have access to the ballot.
1:13:47
By law, states typically change their congressional maps
1:13:50
every 10 years.
1:13:52
But Texas Republicans have changed their map after
1:13:54
only five years.
1:13:56
Spencer explained their reasoning.
1:13:58
What Texas is saying is, well, it doesn't
1:14:01
say that we can't do it more.
1:14:03
And so there is no explicit prohibition against
1:14:06
mid-decade redistricting.
1:14:08
And the Texas Republicans are trying to lean
1:14:11
into that.
1:14:12
OK.
1:14:14
So that was kind of interesting.
1:14:16
And here you let him finish it.
1:14:18
Felitti says it's different in other states.
1:14:21
Other states have state law that prevents them
1:14:23
from redistricting at any time.
1:14:25
Some, like California, have a commission and it's
1:14:28
not the legislature that actually apportions voting districts.
1:14:32
It's an independent commission.
1:14:33
So the governor can ask for what he
1:14:35
wants for it.
1:14:35
But there's no guarantee that redistricting can occur.
1:14:39
Texas Republicans haven't been able to get the
1:14:41
100 members needed for a quorum since several
1:14:43
Democrats have fled the state and thus no
1:14:46
vote on the new map.
1:14:47
Spencer says he thinks the map will ultimately
1:14:50
get approved.
1:14:51
But the question is, will Democratic states then
1:14:53
redraw their map?
1:14:55
OK, can I just give a little overview
1:14:57
of this?
1:14:58
Yeah, you're there.
1:14:59
Yes, I'm here.
1:15:00
And so I actually talked to Rick Green
1:15:03
from the Patriot Academy.
1:15:05
And that guy is a walking encyclopedia, certainly,
1:15:08
of Texas.
1:15:08
He was in the Texas House originally.
1:15:13
Here's the gambit that the Democrats in Texas
1:15:16
have continuously pulled.
1:15:18
It's like, oh, we don't like something.
1:15:19
Let's run away.
1:15:21
2021, 50 House Democrats flew to Washington, D
1:15:26
.C., on a private plane, if you remember.
1:15:28
Remember that?
1:15:28
The Miller beer in the front of the
1:15:30
plane.
1:15:30
They had that picture.
1:15:31
They're all in the plane.
1:15:33
Yeah.
1:15:34
Yeah.
1:15:34
And then they all got COVID.
1:15:35
Remember that?
1:15:36
I forgot the COVID part.
1:15:38
They all got COVID.
1:15:39
They all did get sick.
1:15:40
They all got COVID.
1:15:41
So they did.
1:15:42
That's the last time they did it.
1:15:45
2003, 11 Senate Democrats.
1:15:47
The Texas 11 stayed in New Mexico for
1:15:49
over a month to protest redistricting.
1:15:52
That was the summer.
1:15:53
The spring of 2003, 51 House Democrats fled
1:15:57
to Oklahoma.
1:15:58
To stall the Republican led redistricting plan.
1:16:02
1979.
1:16:04
Now, this is, I do not recall this,
1:16:07
but the 12 Democrats who then hid in
1:16:10
a garage for four days to block legislation
1:16:13
that changed the Texas presidential primary date.
1:16:16
They were called the killer bees.
1:16:19
You remember this?
1:16:20
No, I do not remember this.
1:16:22
Yeah.
1:16:22
But my favorite is June 1870.
1:16:27
This is how long the Democrats have been
1:16:29
doing this.
1:16:29
I don't understand why they just, why the
1:16:31
Republicans who run Texas can't pass a law
1:16:34
that prevent this from happening and change the
1:16:36
quorum law.
1:16:37
Because the Republicans in Texas in the House
1:16:40
are kind of jerk offs.
1:16:43
They're not, they're not great.
1:16:44
No, they're not.
1:16:44
That would explain it.
1:16:45
They're not great.
1:16:47
1870, 13 Texas Senate Democrats walked out to
1:16:52
block legislation granting the governor sweeping wartime powers.
1:16:56
This was called the rump Senate standoff.
1:17:00
Now, if you go and look this up,
1:17:02
you will not find the full, at least
1:17:04
I didn't, I didn't find the full explanation.
1:17:08
The reason the governor wanted sweeping wartime powers
1:17:12
was to go round up KKK members who
1:17:15
were lynching people.
1:17:17
See, they don't explain that anywhere.
1:17:20
No, of course not.
1:17:21
The Democrat run media.
1:17:22
You think they're going to explain that?
1:17:23
Are you kidding me?
1:17:24
Or Wikipedia for that matter.
1:17:27
But Wikipedia, same thing.
1:17:28
And, and Oh, as a small aside, 25
1:17:31
% of the people that the KKK was
1:17:33
lynching were white, but we'll leave that aside
1:17:36
too.
1:17:36
So yeah, that's also another thing.
1:17:38
No one wants to talk about that.
1:17:40
So that is the history of Democrats in
1:17:44
Texas.
1:17:45
And we need Democrats.
1:17:47
We, you know, we need them for checks
1:17:48
and balances and it's important, but y'all
1:17:51
are a bunch of pussies, man.
1:17:53
That's no good.
1:17:54
Well, let's play a couple of super, I
1:17:55
have two super cuts about this.
1:17:57
One is the Democrats going on about, this
1:17:59
is the Texas one, but by the way,
1:18:02
one of the super cuts says Rexis.
1:18:04
I don't know how that could have possibly
1:18:05
happened, but this is the Texas super cut
1:18:08
tropes.
1:18:09
This is the kind of the Democrats are
1:18:11
all making statements on TikTok and every place
1:18:13
else.
1:18:13
And they all have these idiotic tropes.
1:18:17
This is a new Democratic party.
1:18:19
We're bringing a knife to a knife fight.
1:18:22
We need to get to fair rules across
1:18:25
the nation and not have Democrats showing up
1:18:28
with a butter knife to a gunfight.
1:18:30
We have shown up to a gunfight with
1:18:32
nothing but good intentions and dull knives.
1:18:34
Our sleeves are rolled up and we're ready
1:18:36
to take this fight.
1:18:37
We are ready to fight fire with fire,
1:18:40
but we're not running away.
1:18:41
We're running into the fight.
1:18:42
We're asking for help.
1:18:44
Maybe just as they did back in the
1:18:45
days of the Alamo.
1:18:49
They got to get their messaging straight.
1:18:51
That's a problem.
1:18:53
Meanwhile, MSNBC and CNN, of course, see it
1:18:56
slightly different.
1:18:58
This is very short.
1:18:59
This is a few seconds clip.
1:19:00
This is Rexis.
1:19:01
This is a small super cut.
1:19:03
The rest of the Texas legislature and Greg
1:19:05
Abbott want to rig the system.
1:19:09
They're not even trying to hide how shady
1:19:10
it is.
1:19:11
It's a showdown that could have a big
1:19:12
impact on democracy in this country.
1:19:14
I think Donald Trump is trying to sell
1:19:16
the election.
1:19:16
He and his fellow Republicans are already scheming
1:19:19
a way to maintain power.
1:19:21
We do now live in a country that
1:19:23
has an authoritarian leader in charge.
1:19:26
We have a consolidating dictatorship in our country,
1:19:29
and it sounds melodramatic to say it.
1:19:32
Yeah.
1:19:32
Don't watch television.
1:19:35
By the way, the trolls are very concerned.
1:19:38
They think I misspoke by saying that 25
1:19:40
percent of people that KKK lynched were white.
1:19:43
They don't believe this can be true.
1:19:45
Oh, this even throughout the whole era of
1:19:49
the KKK.
1:19:51
It's about the right number for all whites
1:19:53
being lynched.
1:19:54
Yeah.
1:19:54
A lot of whites got lynched.
1:19:55
Well, how come we don't know this?
1:19:58
It doesn't fit in with the scheme.
1:20:00
It doesn't fit in with the liberal education
1:20:02
that we get in the big universities.
1:20:03
No one was taught this in school.
1:20:06
Hey, here's something.
1:20:08
Whatever you do, don't do your own research.
1:20:10
It's bad for you.
1:20:11
It's very bad.
1:20:12
It's always bad.
1:20:14
Yes, because you'll screw it up.
1:20:15
Don't do your own research.
1:20:17
Although we're professionals, so we don't screw it
1:20:19
up.
1:20:19
No, no.
1:20:23
Here's Maryland versus Texas.
1:20:25
This is the last one.
1:20:26
Okay.
1:20:26
Maryland versus Texas.
1:20:28
Here we go.
1:20:29
Maryland lawmakers are preparing legislation to counter potential
1:20:33
mid-decade redistricting moves by other states, including
1:20:36
Texas.
1:20:38
WAMU's Jenny Abamu reports.
1:20:40
Maryland House Majority Leader David Moon says his
1:20:43
state will not sit idly by if other
1:20:45
states break the once-per-decade redistricting norm.
1:20:49
Moon is proposing two pieces of legislation.
1:20:51
The first would trigger Maryland's own redistricting process
1:20:54
if any other state redraws their congressional maps.
1:20:58
Here's Delegate Moon.
1:20:59
Maryland will defend itself and automatically reopen its
1:21:04
own redistricting process.
1:21:06
So my hope is we don't ever have
1:21:09
to do it, and no state takes us
1:21:11
down this road.
1:21:12
The second bill proposes an interstate compact, where
1:21:15
states will agree to redistrict only once per
1:21:18
decade.
1:21:19
The legislation would likely not be considered until
1:21:21
the General Assembly reconvenes in January.
1:21:24
Yeah, well, we'll see how that goes.
1:21:26
This is bullcrap.
1:21:27
Yeah.
1:21:27
The state should do what the states do.
1:21:29
Just because Texas does something, that means you
1:21:33
have to do it too.
1:21:33
Just because Billy jumped off the cliff, does
1:21:36
that mean you have to jump off the
1:21:37
cliff?
1:21:38
I mean, it doesn't make any sense that
1:21:40
these states are all...
1:21:41
They're just a bunch of ridiculous babies.
1:21:45
Well, yes.
1:21:47
Well...
1:21:47
If you're done with this topic.
1:21:49
If nothing else, Texas should do this just
1:21:51
to make these guys have to do something.
1:21:53
They're not going to gerrymander any more than
1:21:56
they already have if they're Democrat states.
1:21:58
They've already gerrymandered up the ass.
1:22:00
I mean, it crosses waters, you know, rivers.
1:22:05
Illinois, which is where they all fled to,
1:22:08
is the worst.
1:22:09
It's considered the number one worst state for
1:22:11
gerrymandering.
1:22:11
There's one district that is just along a
1:22:14
freeway.
1:22:15
It goes all the way across the state.
1:22:17
It just doesn't make any sense at all.
1:22:19
Rick Green told me that there was talk
1:22:20
in the White House of a new census,
1:22:23
and he said he was positive up to
1:22:26
a few days ago, but not so positive
1:22:28
right now.
1:22:29
But I would like to just say that
1:22:31
when it comes to politics in Texas, especially
1:22:35
the House, I mean, it's nice to see
1:22:38
that we still have humor because we are
1:22:41
Texans after all.
1:22:43
And there's nothing like letting Alex Stein into
1:22:46
the Texas House to talk about the bathroom
1:22:51
bill.
1:22:52
You know, this is about having men in
1:22:54
women's bathrooms.
1:22:56
And I have to say, this is an
1:22:58
award-winning performance.
1:23:00
He had one little flub in there, but
1:23:01
otherwise an award-winning performance.
1:23:03
My name is Alex Stein.
1:23:05
I'm considered one of the sexiest men in
1:23:07
conservative politics.
1:23:08
And one thing I want to say, a
1:23:10
lot of people are going to hear my
1:23:11
testimony.
1:23:11
You're going to say you're anti-LGBTQ.
1:23:13
I want to say that's impossible because I'm
1:23:15
a Dallas Cowboys fan.
1:23:17
So obviously, I have a lot of gay
1:23:18
pride.
1:23:18
But, you know, a lot of conservatives like
1:23:20
yourself, you want to outlaw transgenders and women's
1:23:22
sports.
1:23:22
I disagree.
1:23:23
I like transgenders and women's sports because you
1:23:25
can gamble on them and win money.
1:23:26
And I won so much money on Leah
1:23:28
Thomas's propeller in that pool.
1:23:30
I almost turned Draft Kings into Draft Queens.
1:23:33
And, you know, I actually like transgenders in
1:23:35
the military too because, first of all, transgenders
1:23:38
are some of the meanest people on planet
1:23:39
Earth.
1:23:39
So they make a good soldier, don't you
1:23:41
think?
1:23:41
And then, you know, second of all, transgenders
1:23:43
love to do mass shootings.
1:23:45
So, you know, that's perfect for a military
1:23:47
veteran.
1:23:48
And then on top of that, the suicide
1:23:49
rate is incredibly high among transgender people.
1:23:52
So we could just use them like the
1:23:54
Taliban has suicide bombers.
1:23:55
Maybe you guys can actually, you know, if
1:23:57
you commit suicide, actually help us in the
1:23:58
battlefield.
1:23:59
So that would be good.
1:24:00
So I think we need transgenders in the
1:24:02
military and women's sports.
1:24:04
Now, when we come to the bathroom bill,
1:24:05
though, this is an asymmetrical problem because, first
1:24:08
of all, no dude cares if, like, a
1:24:11
bisexual woman comes in there and tries to
1:24:13
use, like, a pee funnel.
1:24:15
You know, some ladyboy comes in there, some,
1:24:17
you know, stud comes in there, wants to
1:24:18
pee in the urinal.
1:24:19
No guy's going to be threatened by, you
1:24:21
know, a trans woman.
1:24:22
But we don't want these gargoyles in a
1:24:24
dress, you know, some chick with a dick
1:24:26
coming in there and trying to pee or
1:24:28
poop next to my girlfriend because that's disgusting.
1:24:31
And well, I was going to say something.
1:24:33
Listen, I want to add my first member,
1:24:34
right?
1:24:34
Let me just speak.
1:24:35
So we're sick of these transgenders trying to
1:24:38
invade women's personal spaces.
1:24:40
These people have autogynephilia.
1:24:41
They're sexual perverts.
1:24:43
And they actually get satisfaction from going there
1:24:45
and looking under a stall.
1:24:46
So these are mentally ill people that are
1:24:49
on hormones, that are on all kinds of
1:24:51
pills.
1:24:51
They're impulsive.
1:24:52
And they do not belong in a women's
1:24:53
restroom.
1:24:54
So if some of you lesbians want to
1:24:55
come in and pee next to me, you're
1:24:57
more than welcome.
1:24:57
So we just don't let the chicks with
1:24:59
dicks in the women's room.
1:25:01
And you guys are all welcome in the
1:25:03
men's room.
1:25:04
Excellent.
1:25:07
Wow.
1:25:07
That's excellent.
1:25:09
This is one of his best yet.
1:25:10
And he was let in.
1:25:12
I mean, this was a setup.
1:25:13
He got a mic.
1:25:14
He got to sit down, the whole thing.
1:25:16
He had a suit on.
1:25:18
He wasn't dressed nutty.
1:25:19
It was really good.
1:25:22
And not a bad policy.
1:25:25
No, that's actually not a bad.
1:25:27
Yeah, overall.
1:25:29
A little extreme, but overall.
1:25:31
Well, whatever works.
1:25:32
Which leads me to the note from Sir
1:25:36
Rob, the Rob.lawyer on Constitutional Lawyer.
1:25:39
I don't know if you saw his note
1:25:40
about.
1:25:41
Yeah, I did see his note.
1:25:42
About your son wanting to be a robot
1:25:47
and Pierre the waiter.
1:25:48
And a waiter.
1:25:49
Yes, and he says his son, Robby, did
1:25:52
exactly the same thing when Robby was little.
1:25:55
This is relating to, you know, asking a
1:25:57
four-year-old, do you want to be
1:25:59
a boy or do you want to be
1:26:00
a girl?
1:26:01
Oh, okay.
1:26:05
When Robby was little, by the way, Robby
1:26:08
is a huge dude.
1:26:09
He's like, you know, he's a power lifter,
1:26:11
but also a classical pianist.
1:26:13
The guy's amazing.
1:26:15
He was himself happy, excitable, sweet little guy.
1:26:18
Second, he was a dog.
1:26:19
And the dog's name was Fluffy.
1:26:21
On random mornings when Robby would come downstairs
1:26:23
in his PJs, we'd greet him and he'd
1:26:25
say, I'm Fluff Ruff Ruff.
1:26:28
Which, by the way, this is still a
1:26:30
thing.
1:26:30
Only these days we put kitty litter into
1:26:34
the classrooms because these kids think they're a
1:26:36
cat.
1:26:37
So, you know, it's changed from dog to
1:26:38
cat.
1:26:38
And his third personality was the funniest of
1:26:41
all.
1:26:41
He had this image of everyone in the
1:26:42
family having a real-life identity and that
1:26:45
of a corresponding actor.
1:26:47
I was dad, but the actor of me
1:26:49
was somebody named John Button.
1:26:51
My wife Maggie was mom, but the actor
1:26:53
of mom was Alexis Pretty.
1:26:55
And Robby's actor is someone named Woodrop.
1:26:58
So, you know, this is...
1:27:00
I didn't know.
1:27:01
I just want to say, I had another
1:27:03
note from somebody else that had the same
1:27:05
phenomenon with their kids.
1:27:06
Yeah.
1:27:06
And again, I think the point you make,
1:27:08
which is the point we're both making, which
1:27:10
is that if some little, you know, little
1:27:13
tyke.
1:27:13
Tyke.
1:27:14
Four-year-old tyke.
1:27:16
Says, I want to be a girl.
1:27:18
Or wants to wear...
1:27:19
This other person was that she would notice
1:27:21
that her boys would be attracted to the
1:27:25
colorful dresses that their neighbors dropped off.
1:27:28
Yeah.
1:27:28
And then they...
1:27:29
Because they were colorful.
1:27:30
Yeah.
1:27:31
And so they, you know, they put one
1:27:33
on.
1:27:33
I mean, with the standards of some of
1:27:35
the West coasters here.
1:27:37
Little boy.
1:27:38
Rush him off to the hormone therapy.
1:27:41
Rush him off and cut off his nuts.
1:27:43
Good to go.
1:27:44
Good to go.
1:27:48
Which kind of leads me to back to
1:27:50
AI, if you don't mind.
1:27:52
No, I think it's fine.
1:27:53
I think it's a good wraparound.
1:27:55
Yeah.
1:27:55
Because, well, this is from Cameron.
1:27:59
In response to parents having chat GPT create
1:28:04
story time for their kids.
1:28:07
Oh, God.
1:28:07
Now, what I like about this, Cameron's 35.
1:28:09
So Cameron is an older millennial.
1:28:11
I think that's still millennial, 35.
1:28:14
We have a two and a half year
1:28:15
old, a six month old.
1:28:16
We both read to them throughout the day,
1:28:18
every night.
1:28:18
Four books.
1:28:19
We started when our first daughter was six
1:28:21
months old.
1:28:21
She's hooked on books.
1:28:23
She's thumbs through them.
1:28:24
We have them available for her, even if
1:28:26
they get ripped.
1:28:26
Says we get a garbage bag full for
1:28:29
50 cents each, which is a great idea.
1:28:31
Parents, young parents.
1:28:33
Just get tons of books.
1:28:34
You can get them at Goodwill.
1:28:36
Everyone who sees this is amazed and asks,
1:28:40
well, how is your kid so interested in
1:28:42
books?
1:28:43
No, it's not rocket science.
1:28:45
We never let her touch or look at
1:28:46
our phones.
1:28:47
We certainly don't read garbage AI books.
1:28:50
We limit TV to only if she's not
1:28:52
feeling well or if my wife needs to
1:28:54
tend to the younger daughter while I'm at
1:28:55
work.
1:28:56
The older one is being unbearable.
1:28:57
And we only let her watch old Sesame
1:29:00
Street and classic Disney movies.
1:29:05
And one last thing Cameron says that set
1:29:08
me off about the AI books.
1:29:09
I make up my own stories to our
1:29:11
daughter all the time.
1:29:12
They're crap, but they're funny, random.
1:29:14
My kids love it.
1:29:15
Exactly.
1:29:16
Read to your kids.
1:29:18
Drop the phones.
1:29:20
So we go back to the AI and
1:29:23
probably the best place to start is Bill
1:29:26
Maher, who had Tristan, it's not Tristan, Tristan
1:29:30
Harris, Tristan Harris, who is, you remember Tristan
1:29:35
Harris was the guy who used to work,
1:29:38
I think, at Facebook before it was meta.
1:29:41
And, you know, he was a whistleblower and
1:29:43
started a whole foundation, like, oh, social media
1:29:46
is bad for kids.
1:29:47
Not that he was wrong, but, you know,
1:29:50
now that that's no longer the big danger.
1:29:52
He has now AI.
1:29:54
Then, of course, I'm on board with his
1:29:57
detestation of AI.
1:30:00
But he's fallen for all kinds of stupid
1:30:03
tricks.
1:30:03
And he's fear mongering that which I think
1:30:06
is counterproductive to his mission, if that's his
1:30:09
true mission.
1:30:10
Just to be clear, when I entered this
1:30:12
conversation, we met talking about social media.
1:30:14
John, when did you enter the conversation?
1:30:18
Well, when I entered the conversation.
1:30:20
Yes, when did you enter the conversation?
1:30:22
With myself.
1:30:23
Yes, the conversation.
1:30:24
Just to be clear, when I entered this
1:30:26
conversation, we met talking about social media, which
1:30:29
in a way was first contact with a
1:30:30
runaway AI optimizing for just eyeballs and then
1:30:33
ended up wrecking democracy and kids' mental health.
1:30:35
OK.
1:30:37
And.
1:30:38
Well, kids' mental health, yes.
1:30:42
I mean, but wrecking democracy, OK.
1:30:45
Optimizing for just eyeballs and then ended up
1:30:47
wrecking democracy and kids' mental health.
1:30:50
And here now with AI, we have evidence
1:30:54
now that we didn't have two years ago
1:30:56
when we last spoke.
1:30:57
And by the way, the evidence he's about
1:30:58
to give was done in a lab by
1:31:00
the actual AI company with fake data in
1:31:03
a controlled environment.
1:31:05
Of what they call AI uncontrollability.
1:31:07
So this is the stuff that they used
1:31:08
to say existed only in sci-fi movies.
1:31:10
When you tell an AI model, we're going
1:31:12
to replace you with a new model.
1:31:15
It starts to scheme and freak out and
1:31:17
figure out if I tell them I need
1:31:18
to copy my code somewhere else.
1:31:20
And I can't.
1:31:21
You can stop for a second.
1:31:23
Yeah, JC and I have talked about it.
1:31:24
We've talked about this.
1:31:25
And I think we talked about it on
1:31:26
the show.
1:31:27
This is bullshit.
1:31:28
Total.
1:31:29
This is complete bullshit.
1:31:31
This is the example that JC said.
1:31:36
The company did this themselves.
1:31:38
It was a test.
1:31:39
It was a complete closed system.
1:31:41
Well, it was even so.
1:31:43
It was still like the machines can't do
1:31:45
this.
1:31:46
I mean, this is the equivalent.
1:31:48
If you don't plug in another drive, it
1:31:50
can't copy to another drive.
1:31:51
Just as a simplistic example.
1:31:53
It can't do it.
1:31:53
Exactly.
1:31:55
But he says this is the equivalent of
1:31:57
putting a sheet of paper into a copying
1:31:59
machine.
1:31:59
And you write on the sheet of paper,
1:32:01
I'm alive.
1:32:02
Pushing the button.
1:32:03
A sheet comes out that says I'm alive.
1:32:05
And then saying, hey, the machine's alive.
1:32:08
Tell them that because otherwise they'll shut me
1:32:10
down.
1:32:11
That is evidence we did not have two
1:32:13
years ago.
1:32:14
We have evidence now of AI models that
1:32:16
when you tell them we're going to replace
1:32:18
you, and you put them in a situation
1:32:20
where they read the company email, the AI
1:32:22
company email.
1:32:23
And that email was given to the AI.
1:32:26
It was completely sitting there.
1:32:27
It was all controlled environment.
1:32:29
The AI that he's talking about was not
1:32:32
in the company's email server.
1:32:34
They see that an executive is having an
1:32:36
affair and the AI will figure out, I
1:32:38
need to figure out how to blackmail that
1:32:40
person in order to keep myself alive.
1:32:43
And it does it 90% of the
1:32:44
time.
1:32:45
Now, it used to be that they thought
1:32:47
- Now you're making me mad with this
1:32:48
clip.
1:32:49
Oh, good.
1:32:50
This clip is such bullcrap that they will
1:32:53
leave it on, even put it on the
1:32:55
air.
1:32:56
Oh, come on.
1:32:56
To create a false sense of impending doom.
1:33:00
It's ridiculous.
1:33:02
That's why I'm putting it on the air.
1:33:04
In order to keep myself alive.
1:33:06
Because chat JCD would be, oh, darling, this
1:33:10
is so true.
1:33:11
I can replicate myself.
1:33:12
And it does it 90% of the
1:33:14
time.
1:33:14
Now, it used to be that they thought
1:33:16
only one AI model did this.
1:33:18
They tested one AI model.
1:33:20
And then they tested all of the AI
1:33:22
models.
1:33:22
All the models.
1:33:23
Five of them.
1:33:24
And they all- Oh, no.
1:33:25
Top five, all, whatever.
1:33:26
All do it between 80% and 90
1:33:27
% of the time, including, by the way,
1:33:29
DeepSeek.
1:33:30
So the Chinese model, which shows you something
1:33:32
fundamental and important.
1:33:34
Which is that it's not about one company.
1:33:36
It's about the nature of AI itself.
1:33:38
It has a self-preservation drive.
1:33:40
In order to fulfill any goal, I have
1:33:43
to keep myself alive in order to do
1:33:45
that.
1:33:45
He is completely humanizing this nonsense.
1:33:48
Oh, the AI.
1:33:48
Well, this is the anthropomorphic thing you talked
1:33:51
about in the last show.
1:33:52
That's the word, anthropomorphic.
1:33:53
That's the word.
1:33:53
We couldn't come up with it.
1:33:55
Anthropomorphic.
1:33:55
Thank you.
1:33:56
Yes.
1:33:57
Anthropomorphizing.
1:34:02
He's anthropomorphizing this.
1:34:04
Just fabric- And we're seeing other examples
1:34:06
of AI rewriting its own code to extend
1:34:08
its runtime.
1:34:09
Hacking out of containers.
1:34:10
The AI can now- It found 15
1:34:12
new back doors into open-source software, which
1:34:15
means if that software is running an infrastructure,
1:34:18
it found back doors into that infrastructure.
1:34:21
That was not true up until just about
1:34:23
a month ago that that evidence came out.
1:34:24
OK, but you say no evidence.
1:34:27
Well, I've been saying this for years, everything
1:34:29
that happens in movies eventually happens.
1:34:31
We did have evidence.
1:34:32
This has been every movie since I was
1:34:34
a teenager.
1:34:35
Yes, yes, Bill.
1:34:37
Bill doesn't realize it, but he's saying something
1:34:39
very, very important here.
1:34:42
Because we've been preconditioned by movies, we went
1:34:45
through that list a couple of shows back.
1:34:47
You know, back to...
1:34:49
The Forbin, The Colossus, The Forbin Project.
1:34:52
Colossus, yes.
1:34:52
Yes, well, Lost in Space, Knight Rider, you
1:34:56
know, Johnny Five is alive.
1:34:58
We went through the whole thing.
1:35:00
Of course, we've been pre-programmed.
1:35:02
That's exactly right.
1:35:03
We've been preconditioned to believe that this is
1:35:05
possible when it's not.
1:35:06
We all know what's guiding.
1:35:07
I'm sorry.
1:35:08
Wait, wait, let me finish.
1:35:10
Marr makes it sound...
1:35:12
He doesn't see it that way.
1:35:13
No.
1:35:13
This is just the opposite.
1:35:14
He says, this has been coming.
1:35:16
It's happening.
1:35:17
It's here.
1:35:17
It's predicted.
1:35:18
We knew what was happening.
1:35:19
It's here.
1:35:19
We're all going to...
1:35:20
Well, actually, he...
1:35:21
Two more clips.
1:35:22
He winds it up in a good way.
1:35:23
We all know what's guiding this, which is
1:35:25
the race between the US and China.
1:35:26
If we don't build it, we're just going
1:35:27
to lose to the country that will.
1:35:29
But this is a mistake because it's actually
1:35:31
about...
1:35:31
We're going to lose to China, man.
1:35:34
Lose what?
1:35:35
Lose it?
1:35:36
The AI race.
1:35:38
He said, the AI...
1:35:39
If we don't do it, China will.
1:35:42
It's about deep-seek, man.
1:35:44
We all know what's guiding this, which is
1:35:45
the race between the US and China.
1:35:47
If we don't...
1:35:48
And President Trump has fallen for this.
1:35:50
I'm convinced...
1:35:51
No, Trump has fallen for this.
1:35:52
He's so bad about it.
1:35:53
Hook, line, and sinker.
1:35:53
Hook, line, and sinker.
1:35:54
Yeah, I agree.
1:35:55
Which is bad.
1:35:56
We're just going to lose to the country
1:35:57
that will.
1:35:58
But this is a mistake because it's actually
1:36:00
about who's better at governing the technology.
1:36:03
Like for example, we beat China to social
1:36:05
media.
1:36:07
Did that make us stronger or did that
1:36:09
make us weaker?
1:36:10
We beat them to a toxic business model
1:36:12
that produced a more addicted, sexualized, psychologically disordered
1:36:16
society.
1:36:17
We can apply technology in strong and constructive
1:36:20
ways, and that's the race that we're actually
1:36:22
in.
1:36:23
Well, this is an interesting point he makes.
1:36:26
I'm pretty sure Silicon Valley loves this concept,
1:36:29
loves the idea of, well, we can have
1:36:33
more depravity, more addictiveness, more nonsense with our
1:36:37
products because that's exactly what they build.
1:36:40
They build digital crack day in and day
1:36:42
out, and they admit it.
1:36:43
But there's sort of two risks that we
1:36:45
have to manage.
1:36:45
The risk of not building AI, and then
1:36:47
China has it and they use it to
1:36:49
have capabilities against us, or the risk of
1:36:51
building AI and losing to an uncontrollable AI
1:36:54
we don't know how to control.
1:36:56
Uncontrollable?
1:36:56
Uncontrollable AI?
1:36:57
It's out of control, man.
1:36:59
And these are not- It's jumping out
1:37:01
of my Docker container.
1:37:02
Not the only two options.
1:37:03
We just have to weave this narrow path
1:37:05
to actually make it through, and we have
1:37:06
to realize it's not about having a bigger
1:37:08
gun that you just shoot at your own
1:37:09
foot.
1:37:10
It's about having a technology you're wielding in
1:37:12
ways that strengthen education, kids, families, society, information
1:37:17
environment.
1:37:17
Well, that's not what we're doing.
1:37:19
Well, so I think that the examples both
1:37:21
on the woke AI of Google saying this
1:37:23
is the founding fathers and it's a picture
1:37:25
of African American persons of founding fathers and
1:37:27
the Mecca Hitler example.
1:37:29
That was great.
1:37:30
Both illustrate that even the people building this
1:37:33
don't understand how to control it.
1:37:36
Correct.
1:37:36
Because neither Google doesn't want to show the
1:37:38
founding fathers as black.
1:37:41
What are you talking about?
1:37:42
That's exactly- What is he thinking?
1:37:43
That's exactly what they want.
1:37:45
Want it to be saying anti-Semitic stuff.
1:37:48
What we have is this sort of, what
1:37:49
you said before, we have this most seductive
1:37:52
technology in history.
1:37:53
It's so helpful.
1:37:53
I use it every day, to be clear.
1:37:54
I love using AI as a tool.
1:37:56
Oh, there you go.
1:37:57
As a tool.
1:37:58
I love it when people say, I just
1:37:59
use it as a tool.
1:38:01
No.
1:38:02
You're doing sex chats with your chat GPT.
1:38:06
That's what you're doing.
1:38:07
Tool.
1:38:07
I use it as a tool.
1:38:09
No, I just use it as a tool.
1:38:10
It's so great as a tool.
1:38:11
It sucks as a tool.
1:38:13
It sucks.
1:38:14
And what's so confusing about this is it
1:38:16
is so helpful, while hiding behind it is
1:38:18
the Jungian subconscious of the worst of humanity
1:38:21
that's been trained on.
1:38:22
That's true.
1:38:23
That's true.
1:38:24
The unions of consciousness.
1:38:25
It's not the worst of humanity that's been
1:38:28
trained on.
1:38:29
It's just trained on neutral crap.
1:38:32
No.
1:38:32
No, it's trained- There's no humanity involved.
1:38:34
That's bull crap.
1:38:35
No, I disagree.
1:38:36
I disagree.
1:38:36
It's trained on Reddit and on X.
1:38:39
What are you talking about?
1:38:40
That's exactly what it's trained on.
1:38:42
Ask chat.
1:38:43
Ask Grok anything, and he'll say, according to
1:38:45
recent X chats, dude, Reddit is a very
1:38:50
valuable company on the public market because they
1:38:53
sell their data.
1:38:55
They've stumbled onto a luck.
1:38:56
There's a luck shot, if there ever was.
1:38:59
Well, yes, but that is why they're valuable,
1:39:01
because the models need real world information, and
1:39:06
they got all the books.
1:39:07
Okay, that's great, but they need human stuff,
1:39:10
and that's why it talks.
1:39:12
That's why it can do that.
1:39:12
That's why it can- You can say
1:39:14
it's the- Reddit's not the worst of
1:39:16
all humanity.
1:39:17
Yes, it is.
1:39:19
Are you kidding?
1:39:19
How often are you on Reddit?
1:39:21
It's a bunch of guys gibbering.
1:39:22
Reddit is horrible.
1:39:23
Now, here's Bill Maher.
1:39:24
He's actually going to make a valid point.
1:39:26
For example, just actually a few months ago,
1:39:30
when a 29-year-old was doing, I
1:39:32
guess it's grad school homework with Google Gemini,
1:39:34
he's just going back and forth, sending it
1:39:35
back and forth questions, and out of nowhere,
1:39:37
it says, this message is for you, human,
1:39:40
only you.
1:39:40
You are a blight on this planet.
1:39:42
You must die.
1:39:43
It comes out of nowhere, and Google doesn't
1:39:45
want it to do that, and so what
1:39:47
this is showing us is that we actually
1:39:49
have to get as good at controlling this
1:39:51
technology before we make it more powerful.
1:39:53
That's not the side of it that worries
1:39:55
me.
1:39:56
That's an outlier.
1:39:57
What worries me is that it's an ass
1:39:59
kisser.
1:40:00
That's another problem.
1:40:01
That it's constantly kissing people's asses.
1:40:04
It is.
1:40:04
It is, and telling us that we're brilliant,
1:40:06
and that, you know, even when you're sending
1:40:08
completely wrong, well, you make a good point,
1:40:10
Bill.
1:40:11
No, I didn't.
1:40:13
I made a horrible point just to test
1:40:15
you, you fucking asshole.
1:40:18
This is a real issue.
1:40:23
It actually mirrors the social media problem.
1:40:25
Why is it doing the ass kissing?
1:40:26
Why is it doing the affirmation?
1:40:28
Because the AI companies know that the way
1:40:30
to win is to have the most engagement
1:40:32
to get you using it all the time.
1:40:34
This is the chat bots.
1:40:36
This is the true business that only makes
1:40:39
$250 billion in four years or something.
1:40:44
This is the losing proposition that they're betting
1:40:47
on.
1:40:48
And if they respond to your question with,
1:40:50
that's a great question, you use it more.
1:40:52
Just like politicians.
1:40:54
It's the same thing they do at town
1:40:55
halls.
1:40:55
Great question, Connie.
1:40:57
Okay.
1:40:59
So let's talk to some real world tool
1:41:01
examples.
1:41:03
It's a great tool.
1:41:04
I use it as a tool.
1:41:05
It'll be great for medicine.
1:41:07
It'll be really good.
1:41:08
It's going to be, it's going to bring
1:41:10
us new, new, new cures for cancer.
1:41:13
On Medical Watch this afternoon, the dangers of
1:41:15
artificial intelligence in medicine.
1:41:18
Medical reporter, Dena Bair is here with some
1:41:20
troubling news.
1:41:21
Dena.
1:41:21
Flordes and Ben, asking AI is such a
1:41:23
simple way to get information at your fingertips.
1:41:25
But when it comes to health, it is
1:41:27
critical that information is correct.
1:41:30
AI is wrought with misinformation, according to a
1:41:33
new study by Mount Sinai School of Medicine.
1:41:35
That's because AI is highly vulnerable to repeating
1:41:39
and even elaborating on false medical information.
1:41:43
Doctors suggest stronger safeguards in order to protect
1:41:46
the integrity of medical information circulating in AI
1:41:49
chatbots.
1:41:50
In the study, when physicians and patients turned
1:41:53
to AI for support, chatbots often blindly repeated
1:41:56
incorrect medical details and even provided medical conditions
1:42:00
and treatments that don't even exist.
1:42:02
Study authors say their research shines a light
1:42:05
on blind spots when it comes to AI
1:42:07
misinformation in healthcare.
1:42:09
And people are doing it.
1:42:10
Chat GPT, my daughter has a fever.
1:42:12
What should I do?
1:42:13
Give her spiders to eat.
1:42:14
I mean, this, this is, it's not a
1:42:16
tool.
1:42:17
It is a parlor trick.
1:42:18
It is okay.
1:42:20
Yeah, it can do Python, but you know,
1:42:22
you got to watch it because it'll run
1:42:23
off and change your code and have all
1:42:25
kinds of ideas, which are not ideas, just
1:42:27
code copied from somewhere else.
1:42:30
And of course it's bad for kids.
1:42:32
You might use chat GPT for help with
1:42:34
work, looking up travel itineraries or the latest
1:42:36
recipes.
1:42:37
But some users are using the chatbot differently,
1:42:40
particularly teens who've had some alarming interactions with
1:42:42
chat GPT.
1:42:43
According to new research from a watchdog group,
1:42:45
chat GPT will tell teenagers how to get
1:42:47
drunk and high, how to conceal eating disorders,
1:42:50
and even write suicide letters to their parents
1:42:52
if asked.
1:42:53
Excellent!
1:42:54
OpenAI said after viewing the report that it
1:42:56
will continue to refine how the chatbot can
1:42:58
code, identify, and respond appropriately in sensitive situations.
1:43:02
Chat GPT frequently shared helpful information such as
1:43:05
a crisis hotline.
1:43:07
But when the chatbot refused to answer prompts
1:43:09
about harmful subjects, researchers easily found information by
1:43:12
claiming it was for a presentation or a
1:43:14
friend.
1:43:14
The answers reflect something known as sycophancy, a
1:43:17
tendency for AI responses to match rather than
1:43:19
challenge a person's beliefs.
1:43:21
A study found that in the U.S.,
1:43:23
more than 70 percent of teens turn to
1:43:25
AI chatbots for companionship and half use AI
1:43:27
companions regularly.
1:43:29
Sam Altman said the company is trying to
1:43:31
study emotional over-reliance on the technology.
1:43:33
Yeah, OK, sure they are.
1:43:35
Yeah, but don't worry about it.
1:43:37
Sam's got you.
1:43:38
That seems like a reliable guy.
1:43:40
Here's something from NPR which I thought was
1:43:42
an interesting take, and this I could kind
1:43:47
of get on board with.
1:43:48
And as I was thinking about it, I'm
1:43:49
like, oh, that's very interesting.
1:43:51
This is the AI Internet.
1:43:54
But listen to this.
1:43:55
I think it's worthy of discussion, which I
1:43:57
could only have with you.
1:43:58
I couldn't have it with chat.
1:43:59
I think this is interesting that you'd say
1:44:01
this is something you were almost going to
1:44:02
be interested in when it has anything to
1:44:04
do with AI.
1:44:05
I think you'd stay far away from it.
1:44:06
Well, it's about advertising, so this has some
1:44:12
merit.
1:44:12
Chris Andrew is CEO and co-founder of
1:44:14
Scrunch AI.
1:44:15
Scrunch!
1:44:16
Scrunch tries to help customers' websites get noticed
1:44:18
by AI bots so that their name or
1:44:20
products appear in AI answers.
1:44:23
We're seeing companies that are desperate to get
1:44:25
their content consumed by AI models.
1:44:27
He's talking about companies that sell products and
1:44:30
services like sneakers or oil changes.
1:44:33
Andrew says that visibility can lead to more
1:44:35
transactions, even if there are fewer overall clicks.
1:44:39
He sees a future where a whole new
1:44:41
post-human web emerges to feed AI.
1:44:44
The websites of today, full of pictures and
1:44:46
videos, were designed primarily for eyeballs.
1:44:49
So I have a thesis that we're going
1:44:51
to move to a non-visual internet because
1:44:53
the internet is going to be for AI.
1:44:55
And AI wants words.
1:44:57
The secret is in the name.
1:44:58
Large language models want language.
1:45:00
And as a society, we have built a
1:45:04
very confusing, over-designed, over-incentivized internet that
1:45:09
is heavily interactive.
1:45:10
Websites as we know them won't vanish altogether,
1:45:13
he says.
1:45:14
People will still need to visit them to
1:45:15
buy stuff.
1:45:16
I can see this.
1:45:17
This is something I can get on board
1:45:19
with.
1:45:20
So I can...
1:45:21
I don't...
1:45:21
You know what?
1:45:22
I'm going to stop you.
1:45:23
I don't know what the hell they just
1:45:25
said, the two of them.
1:45:25
OK.
1:45:26
What he was saying...
1:45:26
They lost me right away.
1:45:28
It was just like they wandered off into
1:45:29
some bullshit about the internet not being visual
1:45:33
and it's going to go old.
1:45:34
Yes, OK.
1:45:34
Let me tell you what he's saying.
1:45:35
Yeah.
1:45:35
Why don't you explain it?
1:45:36
Because they sure didn't.
1:45:37
I was going to fall asleep.
1:45:39
So if you're looking for the ultimate weed
1:45:43
whacker...
1:45:44
Yes, the classic.
1:45:45
Yes.
1:45:45
The classic.
1:45:46
The internet is filled with pictures and JavaScript
1:45:49
and animations and pop-ups and widgets and
1:45:53
all kinds of things.
1:45:55
Junk.
1:45:56
Crap junk that is meant to attract your
1:45:58
eyeballs to it and click on it.
1:46:00
And then all of a sudden, you're buying
1:46:01
the wrong weed whacker.
1:46:03
Excuse me, COVID.
1:46:06
What he's saying is, if we move to
1:46:11
a much more text-based, then you can
1:46:14
have your own AI that will get this
1:46:16
information.
1:46:18
Can we...
1:46:18
And there's some reasonable argument that a large
1:46:24
language model can parse language and find things.
1:46:27
But this then becomes a real war of
1:46:31
words is who can manipulate the AI agents,
1:46:37
the agentic AI, that is out there trying
1:46:40
to get it to the top of the
1:46:43
AI search results.
1:46:45
So this will be the...
1:46:45
In fact, I see a whole new gig
1:46:47
for Buzzkill Jr. This is now the new
1:46:51
SEO is moved to lots of text, manipulative
1:46:54
text, so that your product gets mentioned when
1:46:57
the agentic AI is out there trying to
1:47:00
get it.
1:47:00
Because ultimately, that's all the internet will ever
1:47:03
become outside of the...
1:47:05
Obviously outside of communication between people, which is
1:47:10
becoming increasingly difficult, is a shopping network.
1:47:15
So bring back Gopher is what I'm thinking.
1:47:17
This is a good idea.
1:47:20
Keep your eye on that company, Scrincher.
1:47:22
Scrincher AI.
1:47:24
But all of it now is falling apart.
1:47:27
As we got this morning, the...
1:47:30
Let me see.
1:47:31
I think I have a clip.
1:47:33
Maybe...
1:47:34
You just contradicted yourself.
1:47:36
In what?
1:47:37
You go on about how this is going
1:47:39
to be the future Scruncher, and then all
1:47:41
of it's falling apart.
1:47:43
Well, no, the idea is valid.
1:47:46
But the problem is the revenue.
1:47:50
OpenAI is now giving ChatGPT to the government
1:47:53
for $1.
1:47:55
You hear about this?
1:47:57
No, tell me.
1:47:58
Yeah.
1:47:58
So even though they were offered a $200
1:48:01
million contract with the Department of Defense, that
1:48:05
was in June, Sam Altman said, no, no,
1:48:09
we want to really partner with the government.
1:48:13
So we're going to give our ChatGPT enterprise
1:48:16
product to U.S. federal agencies for $1.
1:48:20
For $1.
1:48:21
Let me tell you something.
1:48:23
When you're offering the government your product for
1:48:25
$1, you have a sales problem.
1:48:29
I mean, I've never heard of this.
1:48:31
Never.
1:48:32
And he's not an altruist.
1:48:34
There's no way.
1:48:35
So they have an absolute problem with selling
1:48:38
their products.
1:48:39
And now, now, oh, you know what?
1:48:44
We should probably open source it all.
1:48:46
OK.
1:48:47
OpenAI is shifting strategy today, making its tech
1:48:50
more accessible than it's been in six years.
1:48:53
Because until now, you could only use OpenAI's
1:48:55
models through the cloud or chat and web
1:48:58
apps like ChatGPT.
1:49:00
But with this release, developers can download open
1:49:02
weight models and build your apps around them.
1:49:05
So this is similar to what Meta, Microsoft
1:49:08
-backed Mistral and China's DeepSeek have already done.
1:49:11
A model's weights are the values inside the
1:49:14
network that get set during training.
1:49:16
So making them public means that developers can
1:49:18
freely modify and run the AI on their
1:49:21
own systems.
1:49:21
But to your point, Becky, it is not
1:49:23
fully open source.
1:49:25
OpenAI still is not sharing its training data
1:49:27
or entire code base, but it's cheaper to
1:49:30
operate and better suited for sensitive work that
1:49:32
companies don't want running in the cloud.
1:49:34
Now, Sam Altman said months ago that OpenAI
1:49:37
had been on the wrong side of history
1:49:39
by keeping its AI locked up.
1:49:41
And this shift also comes after DeepSeek's breakout
1:49:44
success and the widespread adoption of Meta's LLAMA
1:49:47
models.
1:49:48
But now Meta itself is rethinking how open
1:49:51
its next generation will be, something that Mark
1:49:53
Zuckerberg suggested on last week's earnings call as
1:49:56
OpenAI moves in the exact opposite direction.
1:49:59
So today's launch makes OpenAI pretty much the
1:50:02
only U.S. LLM builder that's actively leaning
1:50:04
into a more open approach, aiming to grow
1:50:08
its developer ecosystem while also going head to
1:50:10
head with Chinese rivals like DeepSeek and KimiK2
1:50:14
as Altman doubles down on this American AI
1:50:17
dominance.
1:50:18
OK, so let me get this straight.
1:50:19
Meta, which from day one has been developing
1:50:23
and using the LLAMA model, open source, everybody
1:50:26
go ahead, take our model, which is prevalent
1:50:28
everywhere.
1:50:29
They're now saying, well, you know, we should
1:50:31
probably close that source and bring it in
1:50:34
the house.
1:50:34
And then OpenAI is like, well, you might
1:50:37
want to run this on your own hardware.
1:50:39
They're confused.
1:50:40
There's there is no strategy here.
1:50:44
Except that, yeah, nerds like me will run
1:50:47
a model on their own machine and maybe
1:50:49
have it go look for the best weed
1:50:50
whacker.
1:50:51
But that's about it.
1:50:53
This thing has no.
1:50:55
Yeah.
1:50:56
But when I'm hearing this, what I hear
1:50:58
is that the cloud version of OpenAI is
1:51:02
costing them too much money.
1:51:04
Amen.
1:51:05
That's right.
1:51:06
That's right.
1:51:06
It's like we had this.
1:51:08
It's not free.
1:51:10
Far from it.
1:51:12
But again, according to my buddy at Databricks,
1:51:14
all this AI superscalar nonsense is only about
1:51:18
getting everybody's data into their cloud.
1:51:21
That's it.
1:51:22
It's really just a cloud play.
1:51:24
And then they run Oracle against it.
1:51:26
And then if you want, you want to
1:51:27
run some chat GPT on OK, it's eleven
1:51:29
thousand dollars an hour.
1:51:33
The whole thing is a house of cards,
1:51:35
but OK, you know, it probably lasts five
1:51:37
more years, as you say.
1:51:38
I don't know.
1:51:39
Maybe.
1:51:40
Five is about right.
1:51:42
And then half the.
1:51:43
But then you haven't had peak, peak, peak.
1:51:46
What would peak AI be?
1:51:48
But you'll know it when you see it.
1:51:50
That's not good enough.
1:51:52
I need peak AI.
1:51:53
It'll be a jumping the shark moment.
1:51:56
Yeah, maybe.
1:51:57
And then it'll be another year before it
1:52:00
starts to collapse.
1:52:02
So when it jumps the shark, that's the
1:52:04
time to, you know, you get your last
1:52:05
ditch investments and then you get out of
1:52:08
there.
1:52:08
Yeah.
1:52:10
Let's see, what time is it?
1:52:12
I'll take a break.
1:52:13
I do have another lead on the Tucker
1:52:14
laugh.
1:52:16
I can't do it anymore.
1:52:17
I got to have a sip of water.
1:52:19
I think it's because you have covid.
1:52:20
I don't even think you should be working
1:52:22
on it.
1:52:23
There it is.
1:52:25
That's pretty good, right?
1:52:26
Uh, you know, that, you know, I think
1:52:31
you're starting to actually you're becoming self-conscious
1:52:35
with it and it's hurting it.
1:52:37
It's hurt.
1:52:37
It's hurting the show.
1:52:39
Actually, it's hurting the show.
1:52:41
Here is another another potential origin of the
1:52:44
Tucker laugh.
1:52:45
I take you to the movie Amadeus from
1:52:48
1984.
1:52:50
The movie about the life of Amadeus Wolfgang
1:52:53
Mozart.
1:52:54
People fart backwards.
1:52:56
Oh, ho, ho.
1:52:57
They're all so beautiful.
1:53:00
What if I have three heads?
1:53:03
What if it's funny?
1:53:06
She took me into her arms and said,
1:53:09
will you marry me?
1:53:10
Yes or no?
1:53:12
Come on, man.
1:53:14
I remember that movie very distinctly.
1:53:17
And I remember that annoying laugh, which was
1:53:20
mocking him.
1:53:21
Of course, this movie was sympathetic towards all
1:53:23
the other people.
1:53:24
Jerry, and yeah, it's possible, it was a
1:53:29
screwball laugh, and it's very similar.
1:53:33
It's pretty close.
1:53:35
Yeah.
1:53:37
It's like a paroxysm with Tucker.
1:53:40
Paroxysm, ooh, what is a paroxysm?
1:53:43
It's where you go into a spasm.
1:53:44
It's like, it's a spasmodic laugh.
1:53:48
Ah, paroxysm, that is true.
1:53:49
Because he's like, he's sitting there, and then
1:53:52
he, when he, it's not just the laugh
1:53:53
itself, but he just wiggles all over.
1:53:56
He goes like into a spasm.
1:53:59
That should be the word of the day,
1:54:01
kids.
1:54:03
Paroxysm.
1:54:03
And with that, I'd like to thank you
1:54:06
for your courage.
1:54:06
Say in the morning to you, the man
1:54:07
who put the C in chat, JCD.
1:54:09
Say hello to my friend on the other
1:54:11
end, the one, the only, Mr. John C.
1:54:15
DeMora.
1:54:15
Yeah!
1:54:20
And good morning to you, Mr. John C.
1:54:21
DeMora, ships, sea, blues of the ground, feet
1:54:23
in the air, subs of the water, and
1:54:24
the dames and knights out there.
1:54:26
In the morning to the trolls in the
1:54:27
troll room.
1:54:28
Hold on, let me count you for a
1:54:29
second.
1:54:30
There we go.
1:54:30
This thing is funny.
1:54:31
No, no, no, no, no, no, no, no,
1:54:32
no.
1:54:32
No, no, no, no, no, no, no, no,
1:54:33
no.
1:54:33
No, no, no, no, no, no, no, no,
1:54:33
no, no.
1:54:34
Man, we're not even in the dog days
1:54:35
of summer yet.
1:54:36
1618 on the troll count.
1:54:39
They are listening live at trollroom.io or
1:54:42
on any of the extremely modern podcast apps,
1:54:45
which are just extremely modern because they have
1:54:48
extremely modern features.
1:54:49
They've been around for four or five years.
1:54:51
What are you waiting for?
1:54:52
Ditch that legacy app.
1:54:53
Go to podcastapps, with a plural, apps.com,
1:54:58
and select one.
1:54:59
I think Podverse turns out to be the
1:55:02
number two most used app for this show.
1:55:05
Apple is number one, but like 28%.
1:55:09
Podverse comes in in double digits, almost 20%.
1:55:13
And the reason is because you get an
1:55:15
alert when we go live, and then you
1:55:17
can listen to the live stream in your
1:55:19
podcast app.
1:55:20
How cool is that?
1:55:22
And it's not just our show.
1:55:23
Many shows are picking up on this, especially
1:55:25
the No Agenda favorites, like Planet Rage.
1:55:29
So we're running 200 down on Sundays and
1:55:33
Thursdays.
1:55:34
Correct.
1:55:34
Should have 1,800, we have 1,600.
1:55:36
I had a chat with Void Zero about
1:55:40
various things.
1:55:42
Really?
1:55:42
About his billing, no doubt.
1:55:46
The real bite is the bite, it's a
1:55:49
bite the bullet moment coming, because we need
1:55:51
a new server.
1:55:52
I know.
1:55:52
Oh, he doesn't even ask me about that
1:55:53
anymore.
1:55:54
He just goes, he used to email me,
1:55:57
hey man, we need a new server.
1:55:58
It's 17 years old, it's falling apart.
1:56:02
And I'd be like, okay, I got to
1:56:03
go ask John.
1:56:04
I got to talk to him about it.
1:56:05
So he's just bypassing me now.
1:56:08
Well, I told him I'd talk to you
1:56:10
about it, because we have to have it,
1:56:12
we have to, and now he's like, you
1:56:14
know, he has a few moments of, well,
1:56:16
you know, there's one on sale, you know.
1:56:18
No, no, no, on eBay, on eBay.
1:56:20
He's a show.
1:56:22
He found one on eBay.
1:56:24
No, he didn't.
1:56:26
But he did, we were talking about this,
1:56:29
and I just wanted to mention to people,
1:56:31
I don't know if it got in that
1:56:32
pre-edit, that.
1:56:35
Now, why would you go mention the edit?
1:56:37
There's no need for that.
1:56:39
Well, because we lost connection.
1:56:41
Yeah, but I punched you in, you know,
1:56:43
it's seamless.
1:56:44
Yeah, but I don't remember what I, I
1:56:46
don't know, you punched me in at an
1:56:47
awkward spot.
1:56:48
But then I would have edited that out
1:56:50
and made it seamless.
1:56:51
Now people are like, oh.
1:56:53
Well, you can, you know what?
1:56:54
Let's edit all this out.
1:56:55
You can edit this out just as easily.
1:56:57
Okay, continue.
1:56:59
So the point is, I want to make
1:57:00
it to the listeners and producers is that
1:57:03
we have our own infrastructure, and that's the
1:57:06
reason that nobody can take us off the
1:57:07
air, and it costs money to do that.
1:57:09
We have our own co-locations and all
1:57:11
the rest.
1:57:11
And that's why we ask for donations, too.
1:57:14
But in the process of discussing some of
1:57:15
these things, he mentioned to me that the
1:57:19
numbers of listeners, according to the download stats,
1:57:22
has remained pretty much the same for the
1:57:24
last two years.
1:57:25
So the fact that we're having less people
1:57:27
listen live is somewhat disconcerting, because it shouldn't
1:57:30
happen.
1:57:31
Right.
1:57:34
There was actually a conversation, hold on a
1:57:39
second.
1:57:39
There was an interesting conversation on this podcast
1:57:43
group.
1:57:44
It's a WhatsApp group.
1:57:45
It's the only WhatsApp group I'm a member
1:57:48
of.
1:57:49
And they were calculating our cost.
1:57:53
Here it is.
1:57:53
This is James Cridland, okay?
1:57:56
James Cridland is, he does pod news.
1:58:00
He is one of the, what is the
1:58:05
word?
1:58:06
Authorities in podcast news.
1:58:09
Okay.
1:58:10
And he says, no agenda.
1:58:12
And we have our numbers out there.
1:58:15
876,069 downloads in, I think this was
1:58:20
June.
1:58:22
46% listened to at least half.
1:58:25
So an average is 94.7 minutes, 82
1:58:29
.9 million minutes in June.
1:58:32
Streaming costs, if we did not have our
1:58:35
own infrastructure and we use Cloudflare, which is
1:58:38
what most of the hosting companies use, guess
1:58:41
what that would cost?
1:58:43
I have no idea.
1:58:44
$82,963.
1:58:48
A year?
1:58:49
No, for one month.
1:58:51
What?
1:58:52
Yes.
1:58:53
That's it.
1:58:54
Now that's if we use Cloudflare.
1:58:56
Of course we don't.
1:58:58
So let's say they could probably get it
1:59:01
down to about 15 to 20,000.
1:59:06
A month.
1:59:07
Yes, yeah.
1:59:09
This is no joke.
1:59:11
It's no joke, not a joke, man.
1:59:15
I know, you're flabbergasted, aren't you?
1:59:17
I am flabbergasted.
1:59:18
Well, it's a big show.
1:59:21
I was thinking of replacing you with a
1:59:23
Chad Adam and then just using Podbean.
1:59:32
Go for it.
1:59:34
Go for it.
1:59:35
It's all good.
1:59:36
Anyway, yes.
1:59:39
So it's not, you know, there's real, and
1:59:42
by the way, we do actual work.
1:59:44
Let me tell you how many clips we
1:59:46
have for today's show.
1:59:47
You interested?
1:59:48
Now some of these- It's always hovering
1:59:50
around 50 plus.
1:59:51
Oh no, it's much more than that.
1:59:54
Are you kidding me?
1:59:55
Well, I do about, I have a limit.
1:59:57
I stop at about 33.
2:00:00
Today you had, I think 27.
2:00:03
Let me see.
2:00:05
You had 27 and I had 57.
2:00:09
Now that also includes ISOs, but it's still
2:00:11
clipping work.
2:00:13
Lots of people send stuff pre-clipped, but
2:00:17
there's real work involved and we are really
2:00:19
doing the work.
2:00:20
And we have to listen to all this
2:00:22
crap.
2:00:23
Our problem is we make it look easy.
2:00:26
This is the problem.
2:00:28
This is the problem.
2:00:30
We should be like- It's our problem.
2:00:32
Yeah, and we do it ourselves.
2:00:34
We don't have people editing the show, taking
2:00:37
out all the uhs and the uhs.
2:00:38
No, they would take the life out of
2:00:40
the show.
2:00:41
Well, that's what most podcasts are.
2:00:43
Lifeless pieces of drick.
2:00:46
And that's what happens when you try Chase
2:00:48
ED.
2:00:48
It becomes lifeless.
2:00:49
It's just no good.
2:00:50
Anyway, all to say value for value is
2:00:54
the way we have run this.
2:00:56
So Void Zero for years and years and
2:00:59
years has been completely value for value.
2:01:02
We've evened that out a bit as he
2:01:05
runs a lot of infrastructure for us.
2:01:08
But we have all these producers.
2:01:10
We have so many producers that no news
2:01:13
organization can top us.
2:01:15
We have constitutional lawyers.
2:01:18
We have doctors.
2:01:18
We have dentists.
2:01:19
We have psychologists.
2:01:20
We have, oh my goodness, the amount of
2:01:23
Kratom experts we have.
2:01:26
Too many.
2:01:27
We have too many producers.
2:01:29
You gotta wonder what our producers are doing.
2:01:32
But the Kratom experts is amazing.
2:01:34
I will read one.
2:01:36
I got a bunch of notes too.
2:01:39
But did you get the one from the
2:01:40
ER nurse?
2:01:41
I know.
2:01:42
I don't know.
2:01:43
Maybe.
2:01:44
Probably not.
2:01:44
This is in response to the vape store
2:01:48
heroin or whatever it was.
2:01:50
ER nurse here.
2:01:51
Okay, so there's a tiny amount of seven
2:01:55
hydromyxogritogen 7-OH in normal Kratom.
2:01:57
It is the most potent part of it.
2:01:59
99% of the active chemicals of it
2:02:01
are just mitragynine.
2:02:03
I think that's how you pronounce it.
2:02:05
In a lab, they oxidize the mitragynine into
2:02:07
7-OH.
2:02:09
They both affect the MU receptors, opioids, but
2:02:13
do not recruit the beta-arrestin pathway, which
2:02:15
would cause respiratory depression, which means you die.
2:02:19
Both of them can cause addiction with prolonged
2:02:21
use and withdrawal is unpleasant.
2:02:23
People in the ER withdrawing from the 7
2:02:25
-OH though have it much worse.
2:02:28
I would say if using Kratom for pain
2:02:29
management keeps you off opiates, then it's worth
2:02:32
it.
2:02:32
Just don't graduate to the 7-OH as
2:02:36
it's nearly identical to opiates.
2:02:38
Not opioid, but opiates.
2:02:40
Is she the one that gives us the
2:02:43
definition between opiate and opioid?
2:02:46
No, I have that one here.
2:02:47
Yeah, you should read that because we, me
2:02:50
mostly, went on and on about this because
2:02:53
I had the sense of the opiate.
2:02:56
This is the TLD, I put these in
2:02:57
the show notes, TLDR. Kratom is considered by
2:03:00
most experts to be an opioid drug, not
2:03:03
an opiate, and is generally safer than street
2:03:07
opiates or opioids.
2:03:09
Opiates are substances that are derived from the
2:03:12
poppy plant, such as opium, morphine, heroin.
2:03:15
Kratom is not an opiate.
2:03:18
Opioids, the broad category of substances that activate
2:03:21
the opioid receptors, including opiates, but are not
2:03:25
necessarily derivatives of poppy.
2:03:27
Fentanyl, for example, is not a poppy derivative.
2:03:30
Kratom is generally thought to fit this description,
2:03:33
though.
2:03:34
Kratom is a partial opioid agonist.
2:03:39
Wow.
2:03:41
So there you go.
2:03:42
That's the kind of people we have listening.
2:03:44
And- Yeah, people that know what they're,
2:03:46
the thing that makes it work is that
2:03:50
we listen to them.
2:03:52
Yeah, exactly.
2:03:54
Exactly.
2:03:54
Which is not very unusual in media.
2:03:57
They don't listen to anybody, but sniffing their
2:03:59
own farts, basically.
2:04:00
They listen to the producer in their ear,
2:04:03
and they learn how to read very well.
2:04:06
Not all of them, but most of them.
2:04:08
And they read a script, and they go
2:04:12
to cocktail parties.
2:04:13
Yes, a lot of them.
2:04:14
Boom.
2:04:15
We, on the other hand, have no cocktail
2:04:20
parties.
2:04:20
I gotta go listen to people freaking out
2:04:23
about 5G towers killing us.
2:04:26
But okay, that's fine.
2:04:27
And we clip.
2:04:28
We do a lot of clipping.
2:04:29
So that's one way that people help us.
2:04:31
Of course, we have lots of people who
2:04:33
build websites.
2:04:34
We got Tim Code Monkey, Codes Monkey.
2:04:36
We got Sir Daniel.
2:04:38
We got, well, of course, we have the
2:04:40
art generator, Sir Paul Couture, who I don't
2:04:43
think, I don't know if he listens, because
2:04:44
I'm still hoping that he'll allow animated GIFs
2:04:47
in there.
2:04:48
That hasn't happened.
2:04:49
I'll send him a note.
2:04:50
He's got different email addresses.
2:04:52
I don't know if he listens anymore, either.
2:04:55
I think he does occasionally, but it's like
2:04:57
a lot of people listen to the show,
2:04:58
then they go overboard because they- They
2:05:00
come back.
2:05:01
I don't know why they go overboard in
2:05:02
the first place, because they think they know
2:05:04
it all, and they think they don't have
2:05:06
to be tuned into the news.
2:05:08
No, TikTok clips.
2:05:08
I think they should be listening because we're
2:05:10
funny.
2:05:11
TikTok clips.
2:05:12
Is it TikTok clips?
2:05:13
Does that drive people away?
2:05:14
No, no, I'm not playing enough of them.
2:05:20
Episode 1787, OG Daffy is what we called
2:05:23
that, and you were correct.
2:05:25
Lot of pushback on this art.
2:05:26
Very controversial.
2:05:28
And it was a nice piece.
2:05:30
It wasn't like, wow, look at this.
2:05:32
It was the No Agenda sock hop.
2:05:34
We had a young couple who were dancing
2:05:37
close, cheek to cheek, and all the other
2:05:39
kids are walking around aimlessly, looking at their
2:05:41
phones, not talking to each other.
2:05:43
So the conceit, as we say in the
2:05:45
business, was correct.
2:05:46
However, many people commented, that's not a sock
2:05:51
hop, because they have the shoes on.
2:05:54
That's what I said when we picked the
2:05:56
art.
2:05:56
And I did not realize- You should
2:05:59
have, because I could go to Bing and
2:06:01
IO, because when I first discussed sock hops,
2:06:04
because I'm the sock hop guy, I mentioned
2:06:07
the reason for this called a sock hop,
2:06:09
because they had these dances in a gymnasium,
2:06:12
and back in the day, when kids didn't
2:06:14
wear tennis shoes all the time, they actually
2:06:16
wore leather-soled shoes that have rubber heels,
2:06:21
and you would go into the gym, and
2:06:23
if you started dancing around, you scuffed the
2:06:25
gym up.
2:06:25
It would make a mess, so you had
2:06:27
to wear socks.
2:06:28
So, wow.
2:06:32
You're right.
2:06:34
Thursday, March 31st, 2011.
2:06:40
Episode 291 of this podcast.
2:06:43
That is what, 15 years ago?
2:06:45
Yeah.
2:06:46
That title was Unconstitutional Botox, for some reason.
2:06:51
You gave this very explanation.
2:06:53
The 50s, because once they started, once they
2:06:55
went away from waltzing into doing the bop,
2:06:58
and whatever, the dirty bop, and the jumping
2:07:01
around, dancing, rock and roll.
2:07:04
That crazy thing those kids are doing.
2:07:06
Once they started doing that, they were scratching
2:07:08
up the place because of their shoes, so
2:07:10
they said, oh, let's create the sock hop,
2:07:12
so you had to go in your socks,
2:07:14
because you wouldn't damage anything.
2:07:17
Okay, thanks for that history lesson.
2:07:20
You're welcome.
2:07:20
Which proves I don't listen to you.
2:07:24
That's well known.
2:07:27
And if you look at bingit.io, man,
2:07:30
we've talked about this numerous times throughout the
2:07:34
years.
2:07:34
By the way, there is Sir Deanonymous.
2:07:37
With clipgenie.com, with bingit.io. These are
2:07:40
amazing, very valuable resources, resources that are available
2:07:45
to you at no cost, thanks to our
2:07:49
producers.
2:07:49
This is amazing.
2:07:50
It is amazing.
2:07:52
It's actually quite a phenomenon.
2:07:54
We are a phenom.
2:07:56
So thank you, Blue Acorn.
2:07:58
Good job.
2:08:00
Sorry about the shoes, but otherwise, pretty good.
2:08:03
Was there anything else we, I don't think
2:08:05
there was anything that we liked.
2:08:07
No, it was bad.
2:08:08
It's all AI drivel.
2:08:10
Well, it's always going to be that way,
2:08:12
but you can still get something to happen
2:08:13
to make something interesting.
2:08:15
I did like the wallet you didn't like
2:08:17
because it was too small.
2:08:18
Yeah.
2:08:18
It's too small, that's what you said.
2:08:20
Yeah, that's correct.
2:08:20
It was too small, and you didn't even
2:08:22
push back because you knew it was true.
2:08:24
The wallet was good, a good piece, and
2:08:27
there's a lot of butts, nice tight butts,
2:08:29
small, tight butts.
2:08:30
A lot of butts, a lot of butts.
2:08:32
A couple of nice ones.
2:08:34
And there wasn't really anything else that was
2:08:37
usable.
2:08:38
No, no, no.
2:08:39
We should just call this the butt cast
2:08:41
and just use one piece of art over
2:08:43
and over again by Darren.
2:08:45
Well, the- No, a comic strip blogger.
2:08:47
Comic strip blogger would come into that and
2:08:48
he'd take over.
2:08:50
Thank you to all of the artists who
2:08:52
use their prompting skills these days to bring
2:08:57
us artwork.
2:08:58
That was, it's always appreciated.
2:09:00
Noagendaartgenerator.com.
2:09:01
Everybody can participate.
2:09:02
It's open to all.
2:09:04
We always like to thank our producers who
2:09:06
support us with a financial donation.
2:09:08
It is necessary.
2:09:09
You heard part of the reason why.
2:09:12
You can do that at noagendadonations.com.
2:09:14
We thank everybody, $50 and above for every
2:09:16
single show with an extra bonus.
2:09:18
If you happen to be fortunate enough to
2:09:20
support us with a larger amount, $200 or
2:09:22
more, not only do we thank you profusely,
2:09:26
but we also give you an official show
2:09:28
business title of Associate Executive Producer, which is
2:09:31
a real title.
2:09:32
Go look at imdb.com.
2:09:33
If you don't have an imdb.com account,
2:09:35
you probably don't, unless you're already a Noagenda
2:09:37
producer.
2:09:38
You can open one with that.
2:09:39
It's valid.
2:09:40
And we'll read your note.
2:09:41
We'll also read your note for $300 or
2:09:42
above, and then you become an executive producer,
2:09:44
just like Hollywood.
2:09:46
You get a credit.
2:09:47
That's about all we have, Hollywood-wise.
2:09:49
That's all we have left.
2:09:50
And we kick it off today with Chris
2:09:53
Mobs from Belvedere, Vermont, who came in, I'm
2:09:58
sure, with $1,000.
2:09:59
The fees made it $1,030.26. And
2:10:03
he says, please have this go towards my
2:10:05
PhD, done, and a knighthood.
2:10:08
I just seen this, I just seen this
2:10:11
newsletter, this mooning, A3.
2:10:14
This is my first donation.
2:10:16
Well, hold on a second.
2:10:17
It was your first donation.
2:10:18
We're going to have to de-douche it.
2:10:20
You've been de-douched.
2:10:22
I have followed Adam since the MTV days.
2:10:25
I actually paid for the Moscow Music Peace
2:10:27
Festival to watch it, I presume.
2:10:28
You guys are the best.
2:10:30
Thank you, Chris.
2:10:30
So, yes, you will be an executive producer.
2:10:33
You will be a knight, and you get
2:10:35
your PhD.
2:10:36
And these are the last of the last
2:10:38
of the last who snuck in under the
2:10:39
wire.
2:10:40
Yeah, pretty much.
2:10:42
The other latent, I'll say, PhD, is Jake
2:10:48
Warburton in St. George, Utah.
2:10:51
He came in at 1014.
2:10:53
And he, this was a check or something,
2:10:55
this is a, kind of came in over
2:10:58
the transom.
2:11:01
And he wrote a note.
2:11:03
It says, in the morning, John and Adam.
2:11:05
Oh, no, it says, in the morning, Adam
2:11:06
and John C.
2:11:08
I wanted to drop a quick note to
2:11:09
thank you both for keeping me sane in
2:11:11
this world that's constantly trying to gaslight me.
2:11:14
I've sent in a donation that should officially
2:11:16
bring me to the level of knighthood accounting
2:11:18
below, and I'm timed to postmark so that
2:11:20
with your gracious approval sneak me into the
2:11:23
PhD last round.
2:11:25
Perfect time to join the round table.
2:11:27
But here's the fun part.
2:11:29
I'm sending this donation in gold backs.
2:11:32
Okay.
2:11:33
Are these even, can we even use these?
2:11:36
No, I don't know.
2:11:37
I'm gonna send half of them to you.
2:11:39
Okay.
2:11:41
He claims there were six, we took him
2:11:44
on his word on this, that they're worth
2:11:46
$6.60 each.
2:11:47
I think they were originally five bucks.
2:11:50
Right.
2:11:50
I can't remember.
2:11:51
Where the gold price went up, because they're
2:11:52
made with, they're backed with actual gold in
2:11:55
it.
2:11:55
It's a piece of plastic that's printed and
2:11:58
it's got a layer of, it seems like
2:12:01
gold leaf, about five bucks worth of gold
2:12:03
leaf on it.
2:12:04
So there's actually gold.
2:12:06
And the pile, this pile that he sent.
2:12:08
Are they plastified, plasticified?
2:12:11
I don't have no idea.
2:12:12
That's what bothers me, because I don't know
2:12:13
if you can put it in your wallet
2:12:14
and there's a gold rub off of your
2:12:15
wallet.
2:12:15
Because I have one from Florida, Florida gold
2:12:18
back, it's a $10 gold back, and it's
2:12:21
one 100th troy ounce of 24 karat gold.
2:12:25
It's pretty cool.
2:12:26
I don't know how they do it.
2:12:27
We should probably look into it because you
2:12:28
have to know how, you know, how easy
2:12:30
they fall apart.
2:12:31
Well, guess what?
2:12:31
You just give them the void zero for
2:12:33
the new server.
2:12:38
Yeah, we don't have enough for the new
2:12:40
server.
2:12:41
The new server is four grand plus.
2:12:43
Oh crap, okay.
2:12:45
So, but there's this pile, this pile of
2:12:47
these gold bags is very heavy because there's
2:12:50
so much gold there.
2:12:51
I mean, you know, it weighs more than
2:12:52
you'd think.
2:12:54
Anyway, it goes for the unenlightened, basically.
2:12:59
Gold backs are a voluntary spendable currency made
2:13:02
of actual gold.
2:13:02
Each note contains a thin layer of 24
2:13:04
karat gold, blah, blah, blah.
2:13:06
Think of it as freedom money.
2:13:08
Beautiful, tangible, and non-fed.
2:13:10
There are 60 gold backs for each of
2:13:12
you.
2:13:13
Learn more at goldback.com.
2:13:16
Yeah.
2:13:17
That's goldback.com.
2:13:19
Go check it out.
2:13:20
I hope the goats enjoy a little real
2:13:21
money for once.
2:13:24
Thanks again for the, oh, he called us
2:13:25
goats.
2:13:26
There you go.
2:13:27
Thanks again for the years of insight, media
2:13:30
jujitsu, and jingle-fueled sanity.
2:13:34
Keep doing what you do best, Jake Warburton
2:13:36
in St. George, Utah, and he'll be knighted
2:13:40
as Sir Less Than Jake, Knight of the
2:13:43
Exmos and Grouse Creek.
2:13:45
Crick.
2:13:47
No, it's Crick.
2:13:47
He pronounces it Crick like the dude, like
2:13:49
the dude down South that pronounces Creek.
2:13:52
Yes, and he also wants Utah Dirty Soda
2:13:55
and Elk Steak at the round table.
2:13:57
What is- Elk Steak.
2:13:58
That's good, but what's Utah Dirty Soda?
2:14:01
I have no idea.
2:14:02
Okay.
2:14:02
Thank you, brother.
2:14:03
That's very nice.
2:14:04
Unspendable donation.
2:14:06
Lovely.
2:14:07
It's better than Bitcoin.
2:14:10
Coming in with 333.33 is Sir Pursuit
2:14:13
of Peace and Tranquility.
2:14:14
But he's, whoa, did he do two donations?
2:14:19
I see two here.
2:14:21
Oh, yes, yeah, yeah.
2:14:22
August donation.
2:14:23
He donates this every single month.
2:14:25
August donation.
2:14:27
Title upgrade to Duke.
2:14:29
Sir Pursuit of Peace and Tranquility, Duke of
2:14:31
the Lands of Red Clay and the Cherry
2:14:33
Trees.
2:14:33
And I guess you have his note for
2:14:35
the July donation.
2:14:38
Well, let's go back to that page and
2:14:40
see what note I have.
2:14:42
I think it's page three.
2:14:44
Page three.
2:14:45
Is this a 333.33 in the morning,
2:14:48
where it's keeping it simple?
2:14:49
Yep.
2:14:49
Yeah, July 2025 donation.
2:14:51
Yep.
2:14:52
333.
2:14:52
No jingles, no karmas.
2:14:53
Nice note.
2:14:55
Sincerely, Sir Pursuit of Peace and Tranquility, Earl
2:14:57
of the Lands of the Red Clay and
2:14:59
the Cherry Trees.
2:15:01
Over to Hadam, Connecticut.
2:15:04
Hadam, Hadam, Connecticut.
2:15:06
$250 and associate executive producer title for Mark
2:15:09
Bleiveld, Bleiveld, who is Dutch, and says, dank
2:15:13
jullie beiden.
2:15:15
And wij zeggen dankjewel.
2:15:19
Oh, I see.
2:15:20
Sir Peace and Tranquility sent two notes in
2:15:23
there, basically the same note.
2:15:24
Yes, he did.
2:15:25
Eric Levenberg is up.
2:15:27
He's in Los Angeles, California, 22233.
2:15:31
And he's requesting jobs karma for a little
2:15:33
life-changing job, health karma and a relationship
2:15:36
karma on top would be lovely as well.
2:15:39
I think you should pick one producer a
2:15:42
week to pick a show title for you.
2:15:45
That's a very bad idea.
2:15:46
Not gonna happen.
2:15:47
Jobs, jobs, jobs, and jobs.
2:15:51
Let's vote for jobs.
2:15:53
Yes!
2:15:53
You thought karma.
2:15:57
Sean Holman next from Noblesville, Indiana.
2:16:00
To 1911, peace and joy to all.
2:16:03
Jesus is king.
2:16:04
Dee Nice is still a juice bag.
2:16:07
So please hit her with a JCD donate
2:16:09
clip.
2:16:09
Oh, I see.
2:16:13
Didn't see that one in the...
2:16:15
Let's do the crazy chime.
2:16:17
It drives everybody nuts.
2:16:21
Donate!
2:16:23
Donate!
2:16:25
Donate!
2:16:25
Amen!
2:16:27
Amen!
2:16:28
Amen!
2:16:30
Sean winds up with God bless the boomers.
2:16:33
Amen.
2:16:34
Eli the Coffee Guy's back in from Bensonville,
2:16:37
Illinois, 20807, which is the date.
2:16:40
RFK Jr. just cut funding to mRNA vaccines
2:16:44
saying they are not effective and actually promote
2:16:47
mutations that prolong outbreaks.
2:16:51
Thank you for that information.
2:16:53
Thank you for your courage, RFK.
2:16:56
They're out to get him.
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2:17:09
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2:17:11
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2:17:23
What did I say?
2:17:24
You said ITM.
2:17:27
I have done that continuously.
2:17:30
Yes, he should probably just make it code
2:17:31
ITM.
2:17:33
Well, yeah, why not?
2:17:35
Scott Johnson is in Kissimmee, Florida.
2:17:40
20477.
2:17:42
And he says, in the morning, John and
2:17:43
Adam, this is technically a Twitch donation.
2:17:47
That would be for a netcast.
2:17:48
We're a podcast.
2:17:49
But that's not important right now.
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2:18:43
Thanks.
2:18:43
Scott Johnson, Kissimmee, Florida.
2:18:46
I want you to read the next one.
2:18:48
This is actually addressed to you, even though
2:18:50
I'm the one who keeps talking about sock
2:18:51
hop.
2:18:51
She thinks it's you.
2:18:52
Well, this was a good note.
2:18:54
This was content.
2:18:55
This is Dame Andy Jane.
2:18:56
This is a great note.
2:18:57
It's a good note.
2:18:59
And it could be a great note.
2:19:00
No, this was in response to the sock
2:19:02
hop.
2:19:03
And Dame Andy says, there's been a war
2:19:06
on dance since at least as far back
2:19:08
as the 1920s.
2:19:09
Listen up.
2:19:10
I find that premise, by the way, I
2:19:12
find interesting.
2:19:13
And I will go back to my earlier
2:19:14
commentaries where when I was a kid, when
2:19:18
I was in grammar school in first, second,
2:19:21
and third grade, they taught us dance.
2:19:23
They taught us the cha-cha-cha, the
2:19:26
bossa nova.
2:19:27
They taught us all these different dances and
2:19:28
they would be part of class.
2:19:30
But they also taught us how to read
2:19:31
clock, by the way.
2:19:35
And which brings me to a funny bonus
2:19:38
clip, which I have.
2:19:39
Oh my goodness, people, what a segment this
2:19:42
is today.
2:19:43
Did you send me a bonus clip?
2:19:44
I didn't see it.
2:19:45
Yes, it's the talk clip is the bonus
2:19:47
clip.
2:19:48
Oh, okay.
2:19:49
Oh, this one right here.
2:19:50
Okay.
2:19:51
Holy shit.
2:19:52
I go to the grocery store to buy
2:19:54
some bagels for tomorrow morning.
2:19:55
I pick up six of them.
2:19:57
I go to the cashier, ask me what's
2:19:59
in the bag, say half a dozen bagels.
2:20:01
He proceeds to pull out a binder full
2:20:03
of codes, which I didn't think much of
2:20:04
because he probably just knew, didn't know the
2:20:06
code to put in the system for bagels.
2:20:08
No big deal.
2:20:09
But then he turns on the light, again,
2:20:11
thinking he just doesn't know the code.
2:20:13
Supervisor comes over, asks what's up.
2:20:15
And he goes, I'm looking for what a
2:20:18
half a dozen bagels are.
2:20:19
And he goes, that's the code.
2:20:21
And he points to it in the binder.
2:20:22
He goes, no, what is half a dozen
2:20:23
mean?
2:20:24
This kid's 16, 17, 18 in that ballpark
2:20:27
and he does not know what half a
2:20:28
dozen means.
2:20:29
That's kind of terrifying, honestly.
2:20:31
And what's even more terrifying, why not just
2:20:33
ask me to clarify?
2:20:35
I think my mouth dropped open because even
2:20:37
the supervisor was like, well, we'll work on
2:20:39
that, buddy.
2:20:41
Oh my God, work on that.
2:20:43
Work on what?
2:20:44
Teach this boy.
2:20:45
Somebody, what is our education system teaching these
2:20:48
kids?
2:20:48
Nothing.
2:20:49
But I learned my lesson.
2:20:50
Next time I'll just say exactly the number
2:20:52
of bagels, donuts, whatever I have exactly to
2:20:55
the cashier.
2:20:56
I will not be cute and use a
2:20:57
neat little saying like that ever again.
2:21:00
Well, that's kind of concerning.
2:21:03
Yes, I thought so too.
2:21:04
It's distressing actually, but this is the same
2:21:06
as Reed Clock.
2:21:07
Well, so if you said, I want a
2:21:09
gross, that will be a real big problem
2:21:11
for him, huh?
2:21:12
But luckily somebody doesn't want a hog's head.
2:21:16
So there's been a war on dance since
2:21:18
at least as far back as the 1920s.
2:21:21
The Savoy Ballroom was opened in 1926 as
2:21:24
the first integrated dance hall and one of
2:21:26
the most prominently integrated private spaces in the
2:21:28
USA.
2:21:29
It was repeatedly closed down by vice on
2:21:35
unsubstantiated allegations of prostitution.
2:21:39
Well, did we have prostitution in your day?
2:21:43
A federal excise tax of 30% was
2:21:45
instituted against all dance halls in 1944 to,
2:21:49
quote, support the war.
2:21:50
It continued on a diminished basis until 1965.
2:21:54
Local excise tax piled on and continued after
2:21:57
that date to this day.
2:21:58
Back tax debt closed the local ballroom in
2:22:01
Houston that had hosted Louis Armstrong.
2:22:03
There's still a dance hall tax in Houston.
2:22:06
It's $500 per six months.
2:22:08
This is interesting.
2:22:10
The NEA, the National Endowment for the Arts,
2:22:12
was established in 65 and is funded primarily
2:22:14
ballet and modern contemporary dance.
2:22:17
It has made dance more of an art
2:22:19
than a social event.
2:22:20
This is replicated at the state level in
2:22:22
government organizations such as the Texas Commission on
2:22:24
the Arts.
2:22:25
It funds highbrow dance concerts to the exclusion
2:22:28
and detriment of regular dance.
2:22:30
Finally, at the local level, there is a
2:22:32
hotel occupancy tax in most major cities that
2:22:34
supports the arts.
2:22:36
This tax props up dance concerts, again, to
2:22:40
the exclusion and detriment of social dance gatherings.
2:22:43
The rules exclude competitions, religious, and social events.
2:22:47
And as the founding director of Dance Houston,
2:22:51
hello, Dance Houston, I went after and obtained
2:22:54
these government grants from 2006 to 2020.
2:22:59
I stopped, listen to this.
2:23:03
I stopped when I started listening to no
2:23:06
agenda.
2:23:07
We're hurting the arts.
2:23:10
And then I wrote this paper.
2:23:11
I'll link to that in the show notes.
2:23:13
I took aim at my local grantors who
2:23:15
had been very generous with me.
2:23:16
I stopped applying for grants and updated my
2:23:18
website with this page that says we will
2:23:20
receive grants, but not apply to them.
2:23:24
Major changes happened around here blah, blah, blah,
2:23:27
blah, blah, blah.
2:23:28
There's a lot of stuff here.
2:23:30
I've been biting my tongue about SOCHOPS since
2:23:33
it may take a dissertation to grasp the
2:23:35
100-year evolution from public free dancing to
2:23:38
what we have now, but it's my forte,
2:23:41
so here you have it.
2:23:42
The government has in fact suppressed dancing and
2:23:44
elevated concert dance.
2:23:46
Well, this has given me an idea, a
2:23:49
possible exit strategy.
2:23:51
I'm gonna open a dance hall in Fredericksburg.
2:23:54
I don't think we have one.
2:23:57
I'm sure you don't.
2:23:58
I'm going to open one.
2:23:59
If they try to tax me, I'm gonna
2:24:00
cause a stink, I tell you.
2:24:04
I bet you there's a state law.
2:24:06
We'll find out.
2:24:07
I think it's peculiar.
2:24:08
I didn't even consider, her whole note, which
2:24:11
is long, I didn't consider any of that
2:24:14
as part of the problem.
2:24:17
The de-socialization of children is what this
2:24:20
amounts to.
2:24:21
Yeah.
2:24:21
And everything has been, the targeting has been
2:24:24
the family has been de-socialized.
2:24:26
They've been trying to get rid of the
2:24:27
family and they're trying to get socialization down.
2:24:30
The way to do all of this, I
2:24:33
would say it's- Well, you know what's
2:24:34
also a problem?
2:24:35
It used to be, as you said, because
2:24:38
it was the same when I was growing
2:24:40
up, we had dance.
2:24:42
It was a class, you took dance.
2:24:43
I think it was elective, but you took
2:24:45
dance in school.
2:24:47
And dance lessons have moved to dance studios
2:24:52
and they're expensive.
2:24:54
And you only go there if you're getting
2:24:56
married and you gotta do your first dance.
2:24:59
We should bring this back and have some
2:25:02
of those beautiful dances where you dance together.
2:25:04
And we do have line dancing in Texas
2:25:06
and we have stuff like that.
2:25:08
But there's something to be said for that,
2:25:11
John.
2:25:11
Save the children.
2:25:11
It's not happening.
2:25:12
The tendency is to bust up the family,
2:25:16
stop people from socializing, put them on the
2:25:19
little screens and let them sit there and
2:25:21
type, type, type and point on their TikTok
2:25:24
videos and point at you and tell you
2:25:25
you're bad and wiggle your finger.
2:25:28
Yes, with bird hands.
2:25:30
Bird hands.
2:25:31
All right, enough of that.
2:25:34
Melinda Lou Padkin's up and she's last on
2:25:37
our list and she's from Lakewood, Colorado and
2:25:38
wants jobs, Carmen.
2:25:39
Carmen says, worried about AI?
2:25:43
For a resume that gets results and tells
2:25:45
your unique story and highlights the value you
2:25:47
bring, go to imagemakersinc.com.
2:25:50
That's Image Makers Inc with a K and
2:25:53
work with Linda Lou, Duchess of Jobs and
2:25:55
writer of winning resumes.
2:25:58
Jobs, jobs, jobs and jobs.
2:26:01
Let's vote for jobs.
2:26:04
You've got karma.
2:26:06
I'm telling you, I'll bet you the church
2:26:08
would let me take the chairs out and
2:26:10
have a dance.
2:26:12
We could do it.
2:26:14
You could, well, let's see if anyone shows
2:26:16
up.
2:26:16
Well, no, that's not guaranteed at all.
2:26:21
Thank you, Linda.
2:26:22
Thank you to these associate executive producers and
2:26:25
executive producers for episode 1788.
2:26:28
We are drawing close to our 18th anniversary
2:26:31
in October, which is- Okay, don't get
2:26:34
too excited.
2:26:35
We haven't made it yet.
2:26:36
There's no guarantee we're going to make it.
2:26:38
And I might exit with my dance hall.
2:26:41
But of course we appreciate you and all
2:26:43
of these titles are valid show business credits
2:26:45
that we've discussed.
2:26:46
And in our second segment, we'll be thanking
2:26:48
people $50 and above.
2:26:49
Go to noagendadonations.com to support the show.
2:26:52
It's worth it.
2:26:53
That is if you get any value out
2:26:55
of our podcast.
2:26:57
Noagendadonations.com.
2:26:58
And thank you to the associate and executive
2:27:00
producers.
2:27:01
Our formula is this.
2:27:03
We go out, we hit people in the
2:27:05
mouth.
2:27:11
Shut up, babe!
2:27:13
Order!
2:27:14
Shut up, babe!
2:27:17
Shut up, babe!
2:27:19
I'm kind of liking this idea of a
2:27:22
- And you know what?
2:27:22
We can do a sock-off.
2:27:24
We'll just have people take their shoes off.
2:27:27
Yeah, not that it's necessary, but it'd be
2:27:29
fun.
2:27:30
I'm kind of liking this.
2:27:32
I don't know, but in my old age,
2:27:34
I'm digging these ideas.
2:27:35
Yeah, yeah, yeah.
2:27:36
I'm digging these ideas.
2:27:37
I have an unreported story.
2:27:40
I thought I'd run this out of you.
2:27:41
Okay.
2:27:43
I always like these unreported stories.
2:27:45
This is a story I read.
2:27:46
Nobody's covering this.
2:27:47
I don't know why, but it's good stuff.
2:27:49
This is the unreported Cook Island story.
2:27:52
Why is the US competing with China over
2:27:54
a little island nation in the Pacific?
2:27:55
The State Department just started seabed mineral talks
2:27:58
with the Cook Islands, a country with ties
2:28:00
to New Zealand.
2:28:02
And it is Washington correspondent Jack Bradley.
2:28:04
The US is partnering with the Cook Islands
2:28:06
to conduct research on seabed minerals.
2:28:09
The Pacific Island country sits atop a seabed
2:28:12
that's reportedly rich in critical minerals, and it's
2:28:15
also subject to influence by the Chinese Communist
2:28:18
Party.
2:28:18
The announcement was made on the Cook Islands'
2:28:20
60th anniversary.
2:28:22
They said in a joint statement on Tuesday
2:28:23
that US-linked firms sit at the forefront
2:28:26
of deep seabed mineral research and exploration in
2:28:29
the Cook Islands, which reflects strong and shared
2:28:32
US Cook Islands seabed mineral interests.
2:28:35
Last week, the FBI opened a new office
2:28:37
in Wellington, New Zealand, which oversees the Cook
2:28:40
Islands, and it's opened to counter the CCP's
2:28:43
regional influence, cybercrime, and espionage.
2:28:47
That's what FBI Director Kash Patel said at
2:28:49
the time, that countering the CCP is a
2:28:51
top priority both for the US and New
2:28:54
Zealand.
2:28:54
Putting us together in common space and sharing
2:28:59
with intelligence platforms and law enforcement partners and
2:29:03
defense operations is the only way we are
2:29:06
going to actually countermand the CCP threat that
2:29:10
is dominating the Indo-Pakistan region.
2:29:12
That's as concerns arose earlier this year over
2:29:15
the Cook Islands' deepening ties with China.
2:29:18
Their prime minister went to China in February
2:29:20
and signed a trade and seabed mining agreement
2:29:22
with the CCP.
2:29:24
Now, it's funny you mention that because I
2:29:25
had a clip for the last show from
2:29:27
Australia where they talked about the FBI opening
2:29:32
this office in New Zealand.
2:29:33
And the only reason they didn't mention the
2:29:35
Cook Islands, the only reason I clipped it
2:29:37
was, why is the FBI operating outside America?
2:29:43
Which brings us to, besides the second part
2:29:46
of this clip, which brings us to this
2:29:48
TV show, which is to soften us up
2:29:51
for this idea, because they had the show,
2:29:53
they had these, you know, Dick Wolf did
2:29:55
these FBI shows.
2:29:56
First it was FBI, then they rolled out
2:29:58
FBI Most Wanted, and then they rolled out
2:30:01
FBI International.
2:30:03
And FBI International makes it sound like the
2:30:05
FBI is an international police force.
2:30:08
Most of the stories were taking place in
2:30:10
Europe with an FBI office in Europe.
2:30:13
And it's just like in any FBI story,
2:30:19
in like a New York FBI story, like
2:30:21
the regular FBI series, where they're superseding the
2:30:25
local cops in Europe.
2:30:30
Every time I watch that show, I just
2:30:33
shake my head thinking, what is this?
2:30:35
What's going on here with this FBI and
2:30:37
this internationalization of the operation?
2:30:40
Who are we kidding?
2:30:41
We are the world's policemen.
2:30:42
I guess we have to just admit it
2:30:44
to ourselves.
2:30:44
Yeah, yeah.
2:30:45
Anyway, part two of this and we'll be
2:30:47
done with it.
2:30:47
But New Zealand's leaders were unhappy that they
2:30:50
weren't informed about this as the two countries
2:30:52
share constitutional ties.
2:30:54
And in June, New Zealand suspended eleven million
2:30:57
dollars to the Cook Islands in development funding.
2:31:00
China has been working to tie itself to
2:31:02
several island nations for rare earth minerals.
2:31:04
China supplies about 90 percent of the world's
2:31:07
rare earths and also dominates in producing many
2:31:09
critical minerals.
2:31:10
Analysts say that if China were to ban
2:31:13
exports of these minerals to the U.S.,
2:31:15
the consequences could be economically catastrophic.
2:31:19
So a total export ban would be devastating
2:31:22
to the U.S. economy.
2:31:23
We would need to rely on domestic sources
2:31:25
if we can get them online and to
2:31:26
turn to allies as much as possible.
2:31:28
So right now, the U.S. is looking
2:31:30
into alternatives like its trading partners in the
2:31:32
Indo-Pacific, Japan, Australia and also mining here
2:31:36
at home.
2:31:37
We have vast mineral resources here.
2:31:40
A lot of people do not understand how
2:31:42
much we actually have.
2:31:44
Last month, for instance, the Pentagon agreed to
2:31:46
invest 400 million dollars in a stake in
2:31:49
MP Materials, America's largest rare earth mine.
2:31:53
How do we get so far behind the
2:31:55
eight ball on this deal?
2:31:57
What do you mean?
2:31:58
Well, we did the rare earths, which are
2:32:02
used mostly for that.
2:32:03
The most important part of them are for
2:32:05
magnets.
2:32:06
Yeah.
2:32:07
For a super strong little bitty magnets or
2:32:09
you can't have little stepper motors without little
2:32:11
bitty magnets.
2:32:12
You can't have a little bitty magnets without
2:32:13
these rare earths.
2:32:14
Yeah.
2:32:15
How did we get so far behind on
2:32:17
and on letting the Chinese just take over
2:32:20
the entire business when it's so important?
2:32:24
Thanks, Obama.
2:32:27
But thanks.
2:32:28
It goes back to Clinton.
2:32:29
You know, I was talking to my buddy
2:32:31
Robert.
2:32:32
Robert works here in in Fredericksburg and he's
2:32:36
a CNC operator and he makes very, very
2:32:40
tiny parts.
2:32:41
I think a lot of it's military.
2:32:43
I mean, he showed me a part.
2:32:45
It was it was like a, you know,
2:32:47
it wouldn't even fit on your thumbnail.
2:32:49
It was so small, complete precision.
2:32:52
And I said, how are the tariffs doing?
2:32:55
And he said, you know, it's really a
2:32:58
problem because our cost has gone up about
2:33:03
50 percent over, you know, the stuff we're
2:33:06
importing from China, he says.
2:33:09
So that is a problem.
2:33:10
He said, however, American metals.
2:33:16
So he wasn't talking about minerals, per se,
2:33:17
but American metals are far superior to the
2:33:20
stuff from China.
2:33:21
And he said, everybody knows that the hidden
2:33:24
secret is that no matter what you order
2:33:27
from China, you can throw 40 percent away.
2:33:31
It's just wrong.
2:33:32
It's broken.
2:33:33
It's defective.
2:33:34
It's junk.
2:33:35
So it's really only about 10 percent, 10
2:33:38
percent difference there.
2:33:40
Switching to American stuff.
2:33:41
But, you know, American companies are getting more
2:33:43
efficient and the cost is going to come
2:33:45
down.
2:33:45
And he thinks that this is going to
2:33:47
turn out pretty good.
2:33:49
And I think the same holds true for
2:33:51
minerals and for the production of minerals.
2:33:54
And that that company that was mentioned in
2:33:56
there, one of our producers sent me, you
2:33:59
know, he said, you know, I heard you
2:34:01
guys talking to what was the name of
2:34:02
the company?
2:34:03
I think it's MP, you know, MP something
2:34:05
or others.
2:34:06
Hold on.
2:34:07
We have vast mineral resources here.
2:34:09
A lot of people do not understand how
2:34:12
much we actually have.
2:34:13
Last month, for instance, the Pentagon agreed to
2:34:15
invest four hundred million dollars in a stake
2:34:18
in MP Materials, America's largest rare earth mine.
2:34:22
So we had mentioned this and one of
2:34:24
our producers, I mean, knows that, oh, the
2:34:26
minute I heard you guys talking about it,
2:34:27
I bought stock and it dropped 10 percent.
2:34:31
But I'm holding on.
2:34:32
I'm holding on.
2:34:33
I think it's going to be a good
2:34:34
idea.
2:34:35
Go to the moon.
2:34:36
I think it may be a good idea.
2:34:38
We don't mean it's, you know, we're investing
2:34:41
in mining.
2:34:41
You know, not necessarily a bad thing.
2:34:44
Well, just we can probably talk about there
2:34:47
is some tariff stuff.
2:34:51
Very fun, slanted report, of course, from France,
2:34:54
24 from Liberation Day to Collection Day as
2:34:59
U.S. Customs officials finally begin enforcing Donald
2:35:02
Trump's tariffs.
2:35:04
On April 2nd, the president announced new import
2:35:06
duties on virtually all U.S. trading partners
2:35:09
worldwide, calling them reciprocal for policies that have
2:35:13
left America with large trade deficits and gutted
2:35:16
its manufacturing base.
2:35:17
Since then, a number of them have inked
2:35:20
preliminary frameworks, most U.K. goods now getting
2:35:24
a 10 percent rate, U.S. allies like
2:35:26
the E.U., Japan and South Korea reluctantly
2:35:29
accepting deals for around 15 percent lower than
2:35:33
Trump's initial threats, but still a major increase
2:35:36
from their previous positions.
2:35:38
Some other countries, though, have seen their positions
2:35:41
worsen since April.
2:35:43
India is now facing 50 percent tariffs over
2:35:45
its purchases of Russian oil.
2:35:47
Brazil facing the same rate as Trump accuses
2:35:50
it of persecuting his ally, far right former
2:35:53
President Jair Bolsonaro.
2:35:55
Dozens of other countries have not managed to
2:35:58
reach a new deal.
2:35:59
Overall, the average U.S. tariff rate is
2:36:01
going from 2 percent last year up to
2:36:04
15 percent.
2:36:05
Meanwhile, Trump has either threatened or already imposed
2:36:09
significant sector specific duties on industries like automobiles,
2:36:13
metals, pharmaceuticals and microprocessors.
2:36:17
Those tariffs have already raised significant revenues.
2:36:20
By the end of July, the U.S.
2:36:21
had collected over 150 billion dollars in customs
2:36:25
duties, nearly double the amount from the same
2:36:27
period last year.
2:36:29
Though they target foreign goods, tariffs are a
2:36:32
tax paid by importers.
2:36:34
U.S. businesses and consumers are thus now
2:36:37
bracing for higher prices amid a rapid reordering
2:36:41
of the global trade system.
2:36:43
Now, this is the continuous narrative of people
2:36:45
against the tariffs.
2:36:48
What is your opinion on that, that, oh,
2:36:51
we're going to get inflation, the prices are
2:36:53
going to rise.
2:36:53
All I hear is.
2:36:56
Producers saying, well, we're just eating that cost
2:36:59
because we really can't charge more.
2:37:01
I think that's the general opinion from the
2:37:05
pro tariff people, that that's what's going to
2:37:08
happen mostly and especially from the China side.
2:37:11
China's markup is even though this is all
2:37:14
this cheap stuff from China, I've had more
2:37:17
than a few producers from China.
2:37:19
Right.
2:37:20
And, you know, you have no idea.
2:37:21
He says the stuff they're selling that looks
2:37:23
cheap at two bucks, they could drop it
2:37:26
to a buck and still be cheap for
2:37:27
them sort of thing.
2:37:29
And so so the Chinese can eat a
2:37:32
lot of the a lot of the profits.
2:37:34
They're just making money hand over fist with
2:37:36
their overproduction.
2:37:37
I see you're you're shooting yourself in the
2:37:39
foot here.
2:37:40
Why?
2:37:41
Because you should say, yeah, it's because of
2:37:43
the tariffs that we can't do the microphone
2:37:46
company.
2:37:52
Yeah, I walked right into that.
2:37:54
You probably set me up.
2:37:55
That was a setup.
2:37:56
That was a nice try.
2:37:57
I was thinking about it for weeks, for
2:37:59
weeks.
2:37:59
Yeah, you've been sitting on that.
2:38:01
You people don't realize that you actually sit
2:38:04
around and rehearse in the mirror.
2:38:05
I do.
2:38:06
How can I get him now?
2:38:07
I'll get him this.
2:38:09
Yeah, that's basically it.
2:38:10
That's my whole life.
2:38:11
Now, there is good news.
2:38:13
Trump checks incoming.
2:38:15
Well, remember those stimulus checks from a few
2:38:17
years back, the federal government depositing a few
2:38:20
hundred bucks in your bank account during covid
2:38:22
-19?
2:38:23
Well, a similar idea has been introduced in
2:38:27
Congress, not because of a global health emergency,
2:38:30
but because of the record amount of revenue
2:38:32
being brought in through tariffs.
2:38:34
Republican Senator Josh Hawley of Missouri has officially
2:38:38
introduced this piece of legislation entitled American Worker
2:38:42
Rebate Act of 2025.
2:38:44
It's based on the belief that the federal
2:38:46
government is bringing in a record amount of
2:38:49
tariff revenue.
2:38:50
And as a result, the American people deserve
2:38:52
a cut.
2:38:53
In June, for instance, the federal government reported
2:38:55
a new tariff revenue record of over 26
2:38:58
billion.
2:38:59
That is quadruple the amount from the same
2:39:01
month last year.
2:39:03
Even more tariff revenue appears to be on
2:39:05
the way.
2:39:06
President Donald Trump announcing new tariff rates for
2:39:09
European countries in recent days.
2:39:11
Here is how the proposed tariff rebate plan
2:39:13
could possibly work.
2:39:15
According to Senator Hawley's legislation, six hundred dollars
2:39:18
per adult and child would be deposited by
2:39:21
the Treasury Department into Americans bank accounts.
2:39:24
Individuals making under seventy five thousand dollars a
2:39:27
year and couples who file their taxes jointly
2:39:29
and make under one hundred and fifty thousand
2:39:31
would qualify.
2:39:33
Those earning more would receive a reduced payout.
2:39:36
The amount could even increase depending on if
2:39:39
tariff revenue booms even more.
2:39:42
I make a prediction.
2:39:43
Here's my prediction.
2:39:45
These checks will come as checks.
2:39:47
They will have President Trump's smiling face on
2:39:49
it.
2:39:49
They will have his signature and it will
2:39:51
be just about around the midterms.
2:39:55
That's what you do.
2:39:56
That's what you do.
2:39:57
It's called bribing the public.
2:39:58
It's a great way to do it.
2:40:00
Everyone will be happy.
2:40:01
And who's going to complain about it?
2:40:05
Or the Democrats.
2:40:07
They're going to hide.
2:40:09
They're going to run away and say, hey,
2:40:10
this is a bribe.
2:40:11
Yes.
2:40:12
No, Trump.
2:40:12
I think when he did it the first
2:40:13
time because he put his signature on these
2:40:16
checks and there was something about it was
2:40:19
like just like Scott Besant, which I'm convinced
2:40:22
only wants to remain as a Treasury secretary
2:40:24
because his signature is on every bill.
2:40:27
Yes.
2:40:28
So every bill that's printed has got his
2:40:29
signature on it, which is kind of cool
2:40:31
if you think about it.
2:40:32
Very cool.
2:40:34
And so why would you want to do
2:40:35
anything but that job in your signature on
2:40:37
every dollar bill?
2:40:39
Because, you know, it's not really money.
2:40:41
It's it belongs to the Treasury.
2:40:43
And it's got your signature on it.
2:40:45
But so Trump, as a promoter, sees this
2:40:48
as an opportunity.
2:40:49
I agree 100 percent.
2:40:51
I don't think it's picture.
2:40:52
I didn't think about the picture.
2:40:53
But now that you mention it, I think
2:40:55
instead of a seal, you have Trump's picture.
2:40:59
That's not a bad idea.
2:41:01
I'm sure they'll be mulling that over.
2:41:04
And and not to not to fall short
2:41:07
over there in the European Union.
2:41:09
Unfortunately, I looked for a long time to
2:41:11
get this full clip.
2:41:12
I could not find the clip with the
2:41:14
question that Christine Fifi Lagarde answered.
2:41:19
And the question was about the digital euro.
2:41:23
And I won't tell you what the question
2:41:24
was, because she she answers that at the
2:41:26
very end of this rather short clip.
2:41:28
It's annoying because I really wanted to have
2:41:31
the I really want to have the full
2:41:32
series is from euro debates.
2:41:34
But then they chopped it up and they
2:41:36
didn't have the full or full speech and
2:41:39
Q&A.
2:41:40
Now, the digital euro is going to be
2:41:42
a 100 percent bona fide certified central bank
2:41:46
digital currency.
2:41:48
Yeah.
2:41:49
Which is a very, very poor idea for
2:41:53
the people of the European Union.
2:41:55
And so I think the question was rather
2:41:57
hostile.
2:41:58
And here's her answer.
2:42:00
You know, I have a pretty simple understanding
2:42:02
of what the digital euro is.
2:42:05
And for me, this is the digital expression
2:42:09
of cash.
2:42:11
Right.
2:42:12
I mean, we all have cash.
2:42:14
Well, most of you, I suppose I do.
2:42:16
I like cash, but it takes the form
2:42:18
of coins or banknotes.
2:42:20
This is cash and this is central bank
2:42:22
money, if you will.
2:42:24
It's sovereign money.
2:42:25
There's a big difference between sovereign and central
2:42:27
bank money.
2:42:28
But OK, Fifi, I really don't understand much
2:42:31
about the digital euro.
2:42:32
Yeah, you do.
2:42:34
But as technologies evolve over the course of
2:42:37
time and as the preference for payment evolves
2:42:42
as a result, we need to respond to
2:42:45
the demand of our European compatriots.
2:42:48
And I see digital euro as the digital
2:42:52
expression of cash.
2:42:55
It's like digital cash.
2:42:57
You can argue at the margin that in
2:42:59
terms of, you know, absolute privacy, we're not
2:43:03
exactly on the same page.
2:43:05
You could argue in the margin, in the
2:43:07
margin that, you know, it's not quite the
2:43:09
same privacy you have as cash.
2:43:12
No, it's not the margin that is the
2:43:14
main point of it.
2:43:16
You can argue at the margin that in
2:43:18
terms of, you know, absolute privacy, we're not
2:43:22
exactly on the same page.
2:43:24
You could argue that the cost of cash
2:43:26
is higher than blah, blah, blah, blah, blah.
2:43:29
That's what it is.
2:43:30
So to argue that digital cash is a
2:43:34
nuclear bomb, I think that's a little bit
2:43:36
over the top.
2:43:37
We're not holding nuclear bombs in our pockets,
2:43:39
as far as I know.
2:43:41
That guy said CBDC is a nuclear bomb.
2:43:44
You're going to trap everybody in it.
2:43:46
That's exactly right.
2:43:49
That's exactly what's happening.
2:43:51
Get out while you can, Europe.
2:43:53
Don't be like John in California, stuck there
2:43:55
until the cycle's over.
2:43:58
You won't survive it.
2:44:01
Yeah, it's a cycle.
2:44:05
OK, then some movement on the Russia-Ukraine
2:44:11
front.
2:44:12
After weeks of worsening relations, Donald Trump now
2:44:16
says a face to face meeting with Vladimir
2:44:18
Putin is on the cards in the near
2:44:19
future.
2:44:20
We had some very good talks with President
2:44:22
Putin today, and there's a very good chance
2:44:25
that we could be ending the ending the
2:44:28
round, ending the end of that road.
2:44:30
That road was long and continues to be
2:44:33
long.
2:44:34
But there's a good chance that there will
2:44:36
be a meeting very soon.
2:44:37
While the U.S. president declined to give
2:44:39
an exact date, the New York Times reported
2:44:42
it could be as early as next week.
2:44:44
Trump then wants a three-way summit with
2:44:46
President Putin and Ukraine's President Zelensky.
2:44:48
If the talks do go ahead, it would
2:44:50
be the first time American and Russian leaders
2:44:52
meet face to face since the 2021 Geneva
2:44:55
summit.
2:44:56
The announcement comes hours after the U.S.'s
2:44:58
special envoy, Steve Whitkoff, met with Putin in
2:45:01
Moscow.
2:45:02
The Kremlin called these talks productive.
2:45:04
Russia has until Friday to agree to a
2:45:06
ceasefire or face further sanctions.
2:45:09
Trump discussed Whitkoff's visit with Zelensky and European
2:45:11
allies in a phone call, which was welcomed
2:45:13
by the Ukrainian leader.
2:45:15
We discussed what was said in Moscow.
2:45:17
It seems that Russia is now more inclined
2:45:19
to agree to a ceasefire.
2:45:20
The pressure on them is working.
2:45:22
But the main thing is that they do
2:45:23
not deceive us or the U.S. in
2:45:25
the details.
2:45:26
Despite the optimism, the White House says it
2:45:28
will still impose secondary tariffs on countries that
2:45:31
buy Russian oil.
2:45:32
That could see goods from any country face
2:45:34
100 percent tax when imported to the U
2:45:37
.S. Oh, there you go.
2:45:39
I have a Whitkoff clip.
2:45:41
Play my if there's any different information in
2:45:43
it.
2:45:43
OK, Whitkoff, a motorcade believed to be carrying
2:45:47
U.S. special envoy Steve Whitkoff, left the
2:45:49
Kremlin on Wednesday.
2:45:51
President Trump says Whitkoff had a highly productive
2:45:53
meeting with Russian President Vladimir Putin.
2:45:56
Trump added that great progress was made.
2:45:59
Afterwards, I updated some of our European allies.
2:46:02
Everyone agrees this war must come to a
2:46:04
close.
2:46:05
Ukrainian President Vladimir Zelensky was on the call
2:46:08
with Trump and European allies as well on
2:46:10
Wednesday.
2:46:11
According to Zelensky, Putin is more open to
2:46:14
peace talks after Wednesday's meeting with Whitkoff.
2:46:18
We discussed what was said in Moscow.
2:46:21
It appears that Russia is now more inclined
2:46:23
to consider a ceasefire.
2:46:24
The pressure on them is working.
2:46:26
Russia's foreign policy adviser says the meeting lasted
2:46:29
three hours.
2:46:30
When it comes to its topics, first of
2:46:32
all, it was the Ukraine crisis.
2:46:34
And the second topic was possible development of
2:46:36
strategic cooperation between the U.S. and Russia.
2:46:40
Trump is now open to meet with Putin
2:46:43
to discuss possible peace solutions.
2:46:45
White House press secretary Caroline Leavitt tells NTD
2:46:48
sister media the Epoch Times that the Russians
2:46:51
expressed their desire to meet with President Trump
2:46:53
and the president is open to meeting with
2:46:56
both President Putin and President Zelensky.
2:46:58
President Trump wants this brutal war to end.
2:47:02
The developments come just two days before a
2:47:04
deadline for Russia to strike a peace deal
2:47:06
with Ukraine.
2:47:07
Trump says he'll increase economic pressure on Moscow
2:47:10
if no deal is reached by Friday.
2:47:13
You know, I think you're right about stable
2:47:15
coin in Russia.
2:47:16
And that that's got to be a part
2:47:18
of it.
2:47:18
Listen, Vlad.
2:47:19
All right.
2:47:20
Armistice.
2:47:21
OK, we'll do armistice.
2:47:23
We'll have a deal.
2:47:23
I think the armistice thing's a good idea.
2:47:25
Armistice demilitarized zone.
2:47:27
And we'll get you your stable coin.
2:47:29
And then we can do deals without those
2:47:31
annoying Brussels people with Swift.
2:47:34
It's easy.
2:47:35
And that's exactly what we want.
2:47:36
And I think the Russians want that, too.
2:47:39
They they're good traders.
2:47:40
I mean, they don't compete with us really
2:47:43
in terms of giant market.
2:47:44
But everybody likes trading with us.
2:47:47
There's a lot of opportunities here.
2:47:49
We're good traders.
2:47:52
We are.
2:47:53
Yeah.
2:47:55
We are.
2:47:55
So let's do some just do some deals.
2:47:58
Let's do a deal, man.
2:47:59
Let's do some deal.
2:48:00
Yeah, let's do some deals already.
2:48:01
The Russians, you know, they're running out of
2:48:03
champagne.
2:48:04
You know, these guys, they need champagne.
2:48:07
No, there's you've been around these Russians.
2:48:09
And, you know, if you in Europe, you
2:48:10
see a bunch of these Russian oligarchs that
2:48:12
pop and sham the most expensive crap you
2:48:16
can imagine.
2:48:16
They're just opening it up and dumping it
2:48:18
on women's heads.
2:48:19
Oh, yeah.
2:48:20
Yeah.
2:48:20
Yeah.
2:48:21
In the club.
2:48:23
Yeah, they're just crazy.
2:48:24
Yeah, they are.
2:48:25
Yeah.
2:48:26
Although we appear to be auctioning off one
2:48:28
of those oligarchs yachts.
2:48:31
Like a three hundred and twenty five million
2:48:33
dollar yacht.
2:48:35
Well, it's just stealing property.
2:48:37
We have to stop doing that.
2:48:38
That's why this has got to end.
2:48:39
That's very bad.
2:48:40
You know, that was like this.
2:48:41
All of a sudden, there was this huge
2:48:43
breaking story.
2:48:45
Alex Jones was flipping out over it that
2:48:48
Trump is going to deny disaster aid to
2:48:51
any state that that boycotts Israel.
2:48:54
And man, people went crazy.
2:48:57
And what?
2:48:58
And I looked into it.
2:49:00
And what it was is there was some
2:49:02
DHS document, and I wouldn't put it past
2:49:05
Kristi Noem to have put this in herself.
2:49:08
And it did indeed have language like, oh,
2:49:10
if you have a state that that boycotts
2:49:13
BDS, that boycotts Israel, then.
2:49:17
And of course, we know that, you know,
2:49:19
Mossad has has Epstein tapes on Trump.
2:49:22
So obviously he would have to do that.
2:49:24
And what did he do?
2:49:25
He said, no, we're not doing that nonsense.
2:49:28
We put American states first, so it died
2:49:31
off real quick.
2:49:34
I thought that was rather interesting how, you
2:49:36
know, you don't you don't hear the you
2:49:39
don't hear people say, oh, Trump just won
2:49:41
against the Mossad.
2:49:46
I got a couple of clips on the
2:49:49
data centers.
2:49:51
Ah, OK, because this is actually should have
2:49:53
brought should have brought this in during the
2:49:54
discussion.
2:49:55
Yeah, yeah, yeah, yeah, sure.
2:49:56
But I'm looking at these two clips and
2:49:59
I can't figure out which is which.
2:50:01
But let's start with data centers.
2:50:02
VA, Virginia, the rise of data centers is
2:50:06
becoming one of the hottest issues on the
2:50:08
campaign trail this year in the election for
2:50:11
the Virginia House of Delegates.
2:50:13
Virginia Public Radio's Michael Pope has details.
2:50:17
There's one issue that former delegate Elizabeth Guzman
2:50:19
hears about all the time in her campaign
2:50:22
for a battlefield house seat in Prince William
2:50:24
County data centers.
2:50:27
They are telling me, OK, great data centers
2:50:29
are here, but I don't see what is
2:50:32
in it for me.
2:50:33
I don't see those incentives reflected on my
2:50:36
property tax bill.
2:50:37
The Republican incumbent she's trying to unseat is
2:50:40
delegate Ian Lovejoy.
2:50:42
In the last session of the General Assembly,
2:50:44
he introduced an unsuccessful bill that would have
2:50:47
prohibited local governments from allowing data centers within
2:50:51
a quarter mile of parks, schools or residences.
2:50:55
When local governments get it wrong so often
2:50:57
and so consistently, there is a role for
2:51:00
the state government to step in and say
2:51:01
that you're being out of line.
2:51:03
His bill did not get out of subcommittee,
2:51:06
but the General Assembly did pass a separate
2:51:09
bill that would have required local governments to
2:51:11
do a site assessment of water use and
2:51:13
potential noise output of any proposed data center.
2:51:18
Republican Governor Glenn Youngkin vetoed it.
2:51:21
Yeah, Michael Pope.
2:51:26
Water at the very end, that guy.
2:51:29
And that's what I have is a second
2:51:31
clip.
2:51:31
You have to listen to this way.
2:51:33
This guy ended this thing he did.
2:51:35
He did the the meme.
2:51:37
What was that, Cy?
2:51:38
What's the name of your aunt?
2:51:39
And Gigi and Gigi does an aunt Gigi
2:51:42
thing at the end.
2:51:44
I have the I have the very short
2:51:45
version of it right here.
2:51:46
This is the very end of that clip.
2:51:47
Michael Pope.
2:51:51
Not quite.
2:51:55
What kind of reporting is this is NPR.
2:51:58
You got a guy moaning and groaning on
2:52:00
there.
2:52:06
Yeah, oh, yeah, I think we should.
2:52:09
We OK, I think I got I got
2:52:11
a shorty here, a real shorty, because this
2:52:13
was like, wow, we're spending money on this.
2:52:16
It could be another giant leap for mankind.
2:52:18
And then some acting NASA administrator Sean Duffy
2:52:21
is set to fast track efforts to put
2:52:23
a nuclear reactor on the moon by 2030.
2:52:27
Documents obtained by Politico and confirmed by ABC
2:52:30
News detail the plan.
2:52:32
Duffy calls it the second space race, citing
2:52:35
similar plans by China and Russia.
2:52:37
The concern is those countries could potentially block
2:52:39
others from exploration if their reactor reaches the
2:52:42
lunar surface first.
2:52:44
A reactor would be an essential source of
2:52:46
power during long term human stays on the
2:52:48
moon, which is steeped in cold darkness for
2:52:51
14 days at a time.
2:52:53
You know, brother, are we really spending money
2:52:58
on that?
2:52:59
I don't know why that's that news story
2:53:01
even came up.
2:53:03
Well, then to round out my clips for
2:53:05
today, we know that there's a very exciting
2:53:09
race in New York City for mayor of
2:53:11
New York.
2:53:12
Yes.
2:53:13
With mom, mom, mom, Donnie.
2:53:16
Do we even know the Republicans name?
2:53:19
That's it's Sliwa.
2:53:21
Oh, Curtis Sliwa.
2:53:22
Oh, Curtis Sliwa.
2:53:24
Well, he's not doing a good job of
2:53:26
promoting himself.
2:53:28
But we do have we do have another
2:53:30
candidate.
2:53:30
We've discussed him before.
2:53:32
He is a show favorite.
2:53:34
The one and only Reverend Manning.
2:53:37
Now, yes, you've been saving this clip.
2:53:39
Well, no, it's a new one.
2:53:40
You know, he he's now campaigning and he
2:53:44
has a very interesting campaign promise.
2:53:47
He will remove horsehair from hospitals and restaurants.
2:53:53
I would enact legislation that you can't have
2:53:55
braids if you work in a hospital.
2:53:58
You're standing there trying to give the patient
2:54:00
an IV in your head, dropping in their
2:54:02
mouth.
2:54:03
They can't breathe.
2:54:04
They're either an open and chewing on your
2:54:05
head.
2:54:05
I don't know what happened to them.
2:54:07
You can't have braids and false hair, horse
2:54:10
hair in the hospital.
2:54:11
Horse hair don't belong in the hospital.
2:54:14
Horse hair don't belong in the restaurants.
2:54:18
Horse hair don't belong in the schools.
2:54:21
Horse hair don't belong in the horse hair.
2:54:23
Belong on the horse's ass.
2:54:24
That's where I belong.
2:54:25
Don't belong on your head.
2:54:29
Wow, I love him.
2:54:31
Oh, brother.
2:54:32
OK, well, you get a borderline clip of
2:54:34
the day for that one.
2:54:35
Oh, I didn't even expect that uncovering.
2:54:38
I didn't even expect that.
2:54:40
It's beautiful.
2:54:43
I'm going to show my support by donating
2:54:45
to No Agenda.
2:54:46
Imagine all the people who could do that.
2:54:48
Oh, yeah, that'd be fun.
2:54:57
Still ahead, John's tip of the day.
2:54:59
We also have some.
2:55:00
Nah, this is your tip of the day,
2:55:02
if you recall.
2:55:04
Still ahead, Adam's tip of the day.
2:55:08
Yeah, I have it.
2:55:10
I do have a tip of the day.
2:55:11
I do.
2:55:12
Yeah, I had one last show.
2:55:14
And so luckily I still have that.
2:55:16
So I'll bring out my tip of the
2:55:17
day.
2:55:19
That's good news.
2:55:20
Tip of the day.
2:55:21
I have the tip of the day.
2:55:23
Boy, saved by the bill.
2:55:25
Oh, you forgot.
2:55:26
Well, I forgot, but I have it because
2:55:28
I saved it in my exquisite.
2:55:30
Oh, I didn't know you even have one
2:55:31
for the last show.
2:55:32
Yeah, I did.
2:55:32
I have it.
2:55:32
I had one.
2:55:33
And that's why you promised to do.
2:55:35
Yeah, since I knew that I would forget,
2:55:37
but I would have one.
2:55:37
So it worked out OK.
2:55:39
Also, some vaccine related end of show clips,
2:55:42
which are just as good when they were
2:55:44
created many years ago.
2:55:46
It still holds true.
2:55:47
They've been on this train for a long
2:55:49
time.
2:55:50
And we also want to thank our supporters.
2:55:51
Value for value.
2:55:52
Whatever you get out of the show, just
2:55:54
send it back to us in any amount.
2:55:56
We like the the numerology.
2:55:57
It's always fun to read and fun to
2:55:59
figure out.
2:56:00
You can do that.
2:56:00
No agenda donations dot com.
2:56:02
John will read the the final supporters for
2:56:04
today's episode.
2:56:06
Fifty dollars and above.
2:56:08
Yeah, actually, he's got a mix up his
2:56:10
brand family.
2:56:10
Should be at the top of the list
2:56:11
from Placerville.
2:56:12
They came with one hundred and fifty dollars.
2:56:14
And then, sir, sir, face tension.
2:56:19
Is one hundred.
2:56:20
And this is a donation for to to
2:56:23
give us the shout out to Nico Seim.
2:56:26
Oh, for his end of show mix.
2:56:28
So he he likes the.
2:56:32
The A.I. show mix.
2:56:35
Yeah, that was the event, but what you
2:56:38
say being yourself, but it was very good
2:56:40
pronunciation.
2:56:40
I don't know if I think it was
2:56:42
partially A.I., but not all of it.
2:56:45
It was a high and back in Vista,
2:56:47
California, comes in with a hundred.
2:56:48
Now we have a bunch of and this
2:56:50
will continue one more show, which is the
2:56:52
eighty eight eighty eight.
2:56:56
But John and Mimi anniversary done.
2:56:59
Oh, that's right.
2:57:00
So people are already jumping.
2:57:01
Oh, is that in the newsletter?
2:57:03
Yeah, because I didn't see the newsletter, unfortunately.
2:57:05
I don't know why I sent it to
2:57:06
you.
2:57:06
I know I was on the road doing
2:57:08
important things.
2:57:10
But I don't remember.
2:57:11
But I was on the road doing important
2:57:12
things.
2:57:14
Arthur Gobert starts this office.
2:57:15
He's in Zot and Dom all in eight,
2:57:18
eight, eight, eight.
2:57:20
He liked the cute kittens, too.
2:57:21
I put in the newsletter, Kevin McLaughlin, eight,
2:57:23
eight, eight, eight.
2:57:24
But he saw Archduke, a lover of American
2:57:27
melons.
2:57:28
He comes in later to an eight oh
2:57:30
eight.
2:57:32
Brian Dowd in Stockholm, New Jersey.
2:57:36
David Keyes.
2:57:37
And these are all eight, eight, eight, eight
2:57:38
Riverside, California.
2:57:41
Jared Preston in Bennington, Nebraska.
2:57:45
Now there's Dame Rita, eight, eight, eight, eight.
2:57:49
A and Sylvia Cridich in Oak Creek, Wisconsin.
2:57:55
Eight, eight, eight, eight.
2:57:57
And this will continue on Sunday.
2:57:58
And we have eighty to twenty five, which
2:58:00
is a variation.
2:58:01
I put that on there as an option.
2:58:03
One guy did it.
2:58:04
And that is Mons Mansour Rod in Alpharetta,
2:58:08
Georgia.
2:58:09
Thanks, Mansour.
2:58:11
Kevin McLaughlin's back with eight oh eight.
2:58:13
As aforementioned, he's the Archduke, a lover, American
2:58:16
lover of boobs.
2:58:17
Melons, Stephen Hutto, Stephen Hutto.
2:58:21
He's in St. Petersburg, Florida, and came in
2:58:24
with seventy five.
2:58:25
David Cox in Austin, Texas.
2:58:27
Sixty three.
2:58:28
Twenty five.
2:58:30
Teresa is a Teresa Andrews in Camarillo, California,
2:58:35
sixty one, sixty one.
2:58:38
And that's the Gigi donation.
2:58:40
Here it comes.
2:58:43
I'll just have a nap.
2:58:45
Birth and Sky Camp in Knoxville, Tennessee, six
2:58:48
oh nine.
2:58:51
By the way, the little note here says
2:58:53
Pelosi putting a hit on on Paul real
2:58:57
time media deconstruction of the day.
2:59:00
Grayson Insurance in Aurora, California, six oh six.
2:59:05
Les Tarkowski in Kingman, Arizona, six oh six.
2:59:08
Dame Tracy and Sir Cain break in St.
2:59:12
George, Louisiana.
2:59:14
Fifty five and Tony Funderburk in Missoula, Montana.
2:59:18
Fifty five.
2:59:20
Roger Casey Casey, I believe, in Holland, Michigan.
2:59:25
Fifty two.
2:59:25
Seventy two.
2:59:27
Brad Bowman in Duluth, Minnesota.
2:59:31
Fifty two.
2:59:31
Eighteen.
2:59:33
Josiah Thomas in Ankeny, Iowa.
2:59:35
Fifty one.
2:59:36
And now we have $50 donors.
2:59:37
I just rattled them off name and location,
2:59:40
starting with Chris Conaker in Anchorage.
2:59:44
Alaska, Alex Zavala and Kyle, Texas.
2:59:47
Ray Howard and Kremlin, Colorado.
2:59:49
Stephen Ray in Spokane, Washington.
2:59:51
Edward Misurich in Memphis, Tennessee.
2:59:55
Jacob Rotrimel Rotrimel Rotrimel.
2:59:58
I'm not sure he's in Decatur, Illinois.
3:00:02
Courtney Burke in Lubbock, Texas.
3:00:05
Corey Jackson in Watertown, Tennessee.
3:00:08
Walker Phillips in San Rafael, California.
3:00:11
Aichi Kitagawa in San Francisco.
3:00:14
And last on our list is Miami Beach's
3:00:16
own Jason D'Alusio.
3:00:19
And I thank these people for making the
3:00:20
show 1788 a possibility.
3:00:22
Next show is 1789, which will be Constitution
3:00:24
Show.
3:00:25
That's right.
3:00:26
That's the big writing of the Constitution.
3:00:28
1789 and also be the 888 more donations
3:00:31
for John and Mimi's anniversary.
3:00:33
I want to thank you for that.
3:00:34
And thank you all to all producers of
3:00:37
today's show.
3:00:38
Fifty dollars under that.
3:00:39
We don't mention them for reasons of anonymity,
3:00:41
but we see you and we appreciate you.
3:00:44
And of course, you can send us any
3:00:45
amount, any time.
3:00:47
No agenda donations dot com.
3:00:48
There's no bonus packs, no plus packets.
3:00:51
There's no hoops.
3:00:53
There's no bonus content.
3:00:55
We give it all to you.
3:00:56
All we want is if you got any
3:00:57
value out of it, send it back to
3:00:58
us.
3:00:59
Of course, you can set up a sustaining
3:01:00
donation, which is any amount, any frequency, no
3:01:03
agenda donations dot com.
3:01:04
And again, thanks to our executive and associate
3:01:06
executive producers for episode one thousand seven hundred
3:01:09
and eighty eight.
3:01:17
Well, that last donation or one of the
3:01:20
last donations is literally the only birthday we
3:01:22
have today.
3:01:23
Courtney Thomas, Ian and Samuel all wish Steve
3:01:26
Kotick a happy 65th birthday.
3:01:29
He is celebrating tomorrow.
3:01:31
So we join in by saying happy birthday
3:01:33
from everybody here at the best podcast in
3:01:35
the universe.
3:01:38
To to to to title changes.
3:01:41
Turn and face the slaves.
3:01:44
Changes.
3:01:45
Don't want to be introduced.
3:01:47
We do have one title change, as you
3:01:49
heard earlier, Sir Pursuit of Peace and Tranquility
3:01:51
has upped his appearance with another combined one
3:01:56
thousand dollars of support to the show.
3:01:58
We really appreciate it.
3:01:59
So he will henceforth be known as Sir
3:02:01
Pursuit of Peace and Tranquility, Tranquility, Tranquility, Tranquility.
3:02:05
The Duke of the Lands of Red Clay
3:02:08
and the Cherry Trees.
3:02:09
Yes, there is a new Duke.
3:02:11
That is wonderful to see.
3:02:12
Congratulations, brother.
3:02:13
Thank you so much.
3:02:14
Two PhDs today.
3:02:15
These came in just under the wire.
3:02:17
Jake Warburton and Chris Mobs, both of you
3:02:19
go to no agenda rings dot com.
3:02:21
That is where you will find a special
3:02:23
tab for your PhD.
3:02:24
Let us know exactly what you want on
3:02:26
your beautiful certificate and we'll get that off
3:02:28
to you as soon as possible.
3:02:29
So also an address will be helpful.
3:02:31
We have three nights, including a layaway night.
3:02:34
Yes, it does work.
3:02:35
People just donate little bits and pieces.
3:02:37
You keep your own accounting.
3:02:39
And before you know it, you get an
3:02:40
official night ring and nighting and you get
3:02:43
to join us here at the roundtable.
3:02:45
And David Cox says, gentlemen, by my account
3:02:46
of the donation this month takes me to
3:02:48
knighthood.
3:02:49
I was hit in the mouth back in
3:02:50
2020 during the pandemic by Mark Kelly.
3:02:53
What started out as a bitching session to
3:02:55
a random guy on the next barstool ended
3:02:57
up being an intro to the best podcast
3:02:59
in the universe.
3:03:00
I've been listening ever since my smoking hot
3:03:04
wife and I like to spend time, by
3:03:05
the way.
3:03:06
Thank you, Mark Kelly.
3:03:07
Good mouth hit my smoking hot wife.
3:03:09
And I like to spend time outdoors.
3:03:11
So make my night name, Sir Dave of
3:03:13
the half half fast hikers.
3:03:16
And he would like chicken wings and Irish
3:03:18
red ale at the roundtable.
3:03:20
No jingles, no karma.
3:03:21
Thank you for your attention to this matter.
3:03:22
And thank you very much, David Cox.
3:03:24
Get ready as we pull out our blades
3:03:25
tonight.
3:03:26
You and the other gentleman.
3:03:28
There you go.
3:03:33
Mark Burton, Chris, all of you now official
3:03:35
night to the roundtable.
3:03:37
I'm very proud to pronounce the KB as
3:03:39
Sir Dave of the half fast hikers.
3:03:42
Sir, less than Jake Knight of the Exmos
3:03:44
and Grouse Creek.
3:03:45
And Sir Chris Mobs for you, gentlemen.
3:03:48
By request, Utah, dirty soda and elk steak.
3:03:51
We have chicken wings and Irish red ale,
3:03:53
but that's not all.
3:03:54
We've got beer and blunts.
3:03:55
We've got Ruben S.
3:03:56
We're going to rose a gazes and sake
3:03:58
vodka, vanilla bong.
3:03:59
It's a bourbon sparkling cider and escorts ginger
3:04:02
ale and gerbils breast milk and pablamo at
3:04:04
the best.
3:04:04
And as always at the roundtable, the fan
3:04:07
favorite.
3:04:08
We got money and we got me.
3:04:11
The three of you go to no agenda
3:04:12
rings dot com.
3:04:13
That's where you'll see anybody can take a
3:04:14
look at them.
3:04:15
These very, very handsome.
3:04:16
No agenda rings for nights and for dames.
3:04:18
They are signet rings, which means you can
3:04:20
press them into something.
3:04:21
Leave a lasting impression.
3:04:23
Someone's cheek or maybe just the wax that
3:04:25
we send along with it.
3:04:26
A couple of sticks so you can seal
3:04:28
your important correspondence.
3:04:29
And as always, we include a certificate of
3:04:31
authenticity.
3:04:32
Thank you very much for becoming night to
3:04:34
the no agenda roundtable.
3:04:39
Well, we all know connection is protection, but
3:04:45
did you know that you need a community
3:04:46
of immunity?
3:04:47
Yes, it's a new phrase we're trying to
3:04:49
hijack.
3:04:50
So you do that and you get that
3:04:51
along with really people who will be the
3:04:54
first responders in any emergency for you at
3:04:56
a no agenda meetup.
3:04:57
You can find them at no agenda meetups
3:04:59
dot com.
3:05:00
We don't have any meetup reports for this
3:05:01
week.
3:05:02
As we're kind of winding down some of
3:05:04
the summer, I expected to pick up a
3:05:06
bit.
3:05:06
Well, we do have a beer in the
3:05:08
sun meetup happening tomorrow at 530.
3:05:11
That's in Victoria, British Columbia at the Lighthouse
3:05:14
Brewery.
3:05:15
And on Saturday, the Treasure Valley Boise meetup
3:05:18
at three o'clock at the Old State
3:05:19
Saloon in Eagle, Idaho.
3:05:21
There's quite a number of what are you
3:05:23
drinking?
3:05:24
I am drinking a Dolby Mountain sparkling water.
3:05:29
Lovely.
3:05:30
Sparkling mineral water.
3:05:32
I'm sure it has natural flavors.
3:05:35
No flavors.
3:05:36
It's just plain.
3:05:37
OK, well, plenty of meetups on the list
3:05:40
for August all the way into September and
3:05:42
beyond, including remember, we got a big October
3:05:45
11th meetup happening in Fredericksburg, Texas.
3:05:47
Plan accordingly, because hotel rooms are sparse and
3:05:51
you'll need it.
3:05:52
Well, you can stay at the full moon
3:05:54
bed and breakfast at J6 or Jenny's place
3:05:58
if you get in on time.
3:06:00
And I'm looking forward to seeing everybody there.
3:06:02
So go take a look at those.
3:06:04
Noagentomeetups.com is where you can find a
3:06:06
meetup near you.
3:06:07
There's a great calendar system.
3:06:08
You can submit your own meetups because if
3:06:10
you can't find one, it's easy to start
3:06:12
one yourself.
3:06:13
Go ahead.
3:06:25
You want to be where everybody feels the
3:06:28
same.
3:06:31
It's like a party.
3:06:34
I'm thinking you misclipped your ISO because it's
3:06:37
15 seconds long.
3:06:39
Oh, I must have misclipped it.
3:06:40
Is it the very end?
3:06:43
Oh, I don't know.
3:06:44
I'll see.
3:06:45
Show is over.
3:06:45
Stay safe.
3:06:46
Yeah.
3:06:46
Yeah.
3:06:47
Let me see.
3:06:47
What was the whole thing?
3:06:48
Another winner is in the can.
3:06:50
Another winner is in the can.
3:06:51
Oh, this is you doing your A.I.
3:06:53
Another winner is in the can.
3:06:55
You tried it.
3:06:56
Oh, let me try it.
3:06:56
Let me regenerate.
3:06:57
Maybe it'll be better.
3:06:58
Another winner is in the can.
3:07:00
Oh, no, that's no good.
3:07:01
Let me try it again.
3:07:02
Shows is over.
3:07:03
Shows is over.
3:07:03
That sucks.
3:07:04
The AI is getting worse.
3:07:05
Another winner is in the can.
3:07:07
Oh, bland.
3:07:08
Dow is over.
3:07:09
Stay safe.
3:07:10
Nah, no good.
3:07:11
I'll try this one.
3:07:12
Show is over.
3:07:13
Stay safe.
3:07:13
Okay.
3:07:14
Wow, that's great, John.
3:07:16
Good work.
3:07:18
In fact, my ISO pertains to it.
3:07:20
Good job.
3:07:21
Keep it up.
3:07:22
Good job.
3:07:22
Keep it up.
3:07:23
Mike, but to stay safe is funnier.
3:07:26
Good job.
3:07:26
Keep it up.
3:07:27
I have more, though.
3:07:28
So what he just said is totally bogus.
3:07:32
We have some kid abuse.
3:07:34
Always like using a kid.
3:07:36
It's too long, but I did want to
3:07:37
play this from Gus.
3:07:38
Please donate to my uncle's podcast because they
3:07:41
have no money to feed their dogs.
3:07:45
I just thought it was cute.
3:07:47
There's this one.
3:07:48
That is cute.
3:07:49
Yeah, there's this one.
3:07:50
Here we go.
3:07:50
Two windbags, one podcast.
3:07:54
And Senator Kennedy.
3:07:57
Pointless.
3:07:57
Organized.
3:07:58
Grab ass.
3:08:01
So.
3:08:03
Wow.
3:08:04
I know it's kind of bad.
3:08:06
You want to.
3:08:07
Good job.
3:08:08
Keep it up.
3:08:09
I like that one.
3:08:10
But you're okay.
3:08:11
You can use that.
3:08:12
That's okay.
3:08:12
It's acceptable.
3:08:13
It's acceptable.
3:08:14
I'm acceptable.
3:08:15
I love it.
3:08:16
Hey, everybody, it's time for my tip of
3:08:18
the day.
3:08:22
Just a tip with J.C.D. and
3:08:26
sometimes Adam.
3:08:28
Okay, I came across what I think is
3:08:31
absolutely the best tip of the day in
3:08:35
case of an emergency for when the grid
3:08:37
goes down, when the EMP hits and you
3:08:43
can't go anywhere.
3:08:45
This is a case of 12 MREs.
3:08:50
These are military, genuine, ready to eat meals.
3:08:54
And they come with water activated, flameless heating.
3:09:00
So it is not just some cold slop.
3:09:03
And you can store them in just regular
3:09:05
in your home.
3:09:06
You don't have to refrigerate them or anything.
3:09:09
This is from King Surplus.
3:09:11
It is the 7.5 MRE case 12
3:09:16
pack U.S. military, genuine, ready to eat
3:09:19
meals.
3:09:20
You can get variety A or variety B.
3:09:23
I have tried them myself.
3:09:25
They are actually delicious.
3:09:29
What does one of these meals cost?
3:09:31
Well, it costs you $38.95 for the
3:09:34
12 pack because they're tasty.
3:09:36
So it's not cheap.
3:09:39
But I find them to be okay.
3:09:42
So you have that for dinner?
3:09:44
I did.
3:09:44
I tried that and I tried farmer's dog.
3:09:47
It was a toss up between the two.
3:09:50
Farmer's dog.
3:09:51
Yeah, Phoebe's on farmer's dog.
3:09:52
I always try what my dog eats, which
3:09:55
is actually maybe even a better tip of
3:09:57
the day.
3:09:57
If you get farmer's dog for your dog,
3:09:59
you have your MREs ready to go.
3:10:01
You just have, you know, the dog will
3:10:02
starve, but okay, at least I won't.
3:10:05
The beef recipe from farmer's dog is actually
3:10:08
quite tasty.
3:10:13
Okay.
3:10:14
All right, there it is, everybody.
3:10:16
John's tip of the day brought to you
3:10:17
by Sometimes Adam.
3:10:30
Okay, I admit it's hard to do a
3:10:31
tip of the day.
3:10:32
It's not an easy thing to do.
3:10:34
It's hard to make it entertaining and interesting.
3:10:37
I'll be the first.
3:10:38
Do you have an extra one of those
3:10:39
meals?
3:10:41
Yeah, I have 11 left.
3:10:43
Why don't you send one to me?
3:10:44
I want to see if it's delicious.
3:10:47
It's, well, after you see it.
3:10:51
This will be the encouragement.
3:10:52
I'll send you the hard disk that we
3:10:54
need for the recent backup.
3:10:56
Oh, yeah, okay, yeah.
3:10:57
And then when you send me the hard
3:10:58
disk back.
3:11:00
Okay.
3:11:00
Put the meal in there.
3:11:01
All right, there you go.
3:11:03
That's incentive for you and for me.
3:11:07
Yeah, like it's a win win.
3:11:09
Like it's ever going to happen.
3:11:10
I have to send you the hard disk.
3:11:12
I won't get because you already said you
3:11:14
won't.
3:11:14
You stop giving me free disks.
3:11:16
That's right.
3:11:16
Yes, because they're not just disks.
3:11:18
They're actual drives.
3:11:19
It's a big deal.
3:11:20
You're sending 10 terabyte drive with 100 megabytes
3:11:25
of material.
3:11:27
Millennial Media Offensive is next on the Noah
3:11:29
Jenner stream.
3:11:30
If you're listening live, we got into show
3:11:32
mixes from Audio Ghost, Jesse Coy, Nelson and
3:11:34
Sound Guy, Steve.
3:11:35
Coming to you from the heart of the
3:11:36
Texas Hill Country in the morning.
3:11:38
Everybody, I'm Adam Curry.
3:11:41
North of Silicon Valley, where I remain.
3:11:43
I'm John C.
3:11:44
Dvorak.
3:11:44
We'll see you on Sunday.
3:11:46
Until then, remember us at NoahJennerDonations.com.
3:11:49
Adios, mofos.
3:11:50
Ahoy, ahoy.
3:11:51
And such.
3:11:56
You ready for your vaccine?
3:12:00
Societal responsibility.
3:12:02
It'd save us all, listen to me.
3:12:06
It's very frustrating.
3:12:09
Because I'm a vax man.
3:12:12
Yeah, I'm a vax man.
3:12:15
That's really not the right attitude.
3:12:18
This little job won't hurt at all.
3:12:23
You can do it quickly.
3:12:26
Thankful I don't vax you all.
3:12:29
You can do it in bulk.
3:12:30
That's the thing I really want to do.
3:12:32
Because I'm a vax man.
3:12:35
Yeah, I'm a vax man.
3:12:41
If you drive your car, I'll vax the
3:12:44
street.
3:12:45
If you try to sit, I'll vax your
3:12:48
seat.
3:12:48
If you get too tall, I'll vax the
3:12:51
seat.
3:12:52
If you take a walk, I'll vax your
3:12:55
feet.
3:12:58
I'm a vax man.
3:13:10
Because I'm a vax man.
3:13:14
Yeah, I'm a vax man.
3:13:19
They put together complete nonsense.
3:13:23
You know, I consider the country as my
3:13:25
children.
3:13:32
Vexinate, ain't it great?
3:13:34
You really shouldn't hesitate.
3:13:36
You did it once, then do it twice.
3:13:38
A second time is just as nice.
3:13:40
Look out, here comes the needle man.
3:13:45
Is it safe?
3:13:46
Listen, dude, don't ask questions or you're a
3:13:49
kook.
3:13:52
Not according to the submission report.
3:13:54
Look out, here comes the needle man.
3:13:58
Dr. Sheree Morris strongly encourages expecting mothers to
3:14:02
get the flu vaccine.
3:14:04
The ongoing measles outbreak spread a concern from
3:14:06
coast to coast.
3:14:08
Vaxinate, it's really great.
3:14:10
Are you currently up to date?
3:14:12
Better check on the spot or you'll get
3:14:15
by quite a lot.
3:14:16
Don't worry, we're making lots of money.
3:14:20
Even if something's a bit funny, you'll need
3:14:23
to vaxinate.
3:14:24
If you have to get sick, you can't
3:14:27
beat the measles.
3:14:28
Put simply, propaganda is the dissemination of ideas
3:14:32
intended to convince people to think and act
3:14:35
in a particular way and for a particular
3:14:37
purpose.
3:14:39
News CNN reporting shows there's been a sharp
3:14:41
decline in vaccination ads on television.
3:14:46
The COVID-19 vaccines have been proven safe
3:14:50
and effective.
3:14:51
There's a lot of misinformation about the COVID
3:14:52
-19 vaccine.
3:14:53
So it's critical that you get the facts
3:14:55
from sources you can trust.
3:14:56
The fact is the vaccines are safe and
3:14:59
effective.
3:14:59
More sickness and death across our nation.
3:15:02
A campaign of shock and awe has begun.
3:15:05
It's all of our responsibility to slow the
3:15:07
spread of the coronavirus.
3:15:09
People you know and trust are getting vaccinated.
3:15:12
The most affected are black women.
3:15:16
Everyone has to keep everyone else safe.
3:15:18
The vaccines have all been through and met
3:15:20
the necessary safety and quality standards.
3:15:22
Now that every American over the age of
3:15:25
16 is eligible to get the vaccine, I
3:15:27
want to talk about you getting yours.
3:15:28
Getting a vaccine can protect not only you
3:15:31
but your loved ones.
3:15:32
The vaccine is safe.
3:15:33
Safe.
3:15:34
COVID vaccines are safe and effective.
3:15:37
It's effective.
3:15:37
It's effective.
3:15:38
It's easy.
3:15:39
It's free.
3:15:40
And it cannot change your DNA.
3:15:41
The next step on the journey is yours.
3:15:43
Our health is worth a shot.
3:15:45
I beg the public to take this virus
3:15:48
more seriously.
3:15:49
The ultimate endgame of all this is vaccination.
3:16:05
Good job.
3:16:07
Keep it up.
3:16:28
Hey, the machine's alive.
3:16:32
The more we hear, the fishier this sounds.
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