Latest / The TMI Show with Ted Rall and Manila Chan / DOGE Insider Speaks, DraftKings AI Exposed & Irritable Male Syndrome | TMI Ep 465

Transcript

DOGE Insider Speaks, DraftKings AI Exposed & Irritable Male Syndrome | TMI Ep 465 · The TMI Show with Ted Rall and Manila Chan

• 5:19
  everybody. Welcome to the TMI show. I am Manila
• 5:22
  Chan. Ted Raul, of course, is on his potty break.
• 5:25
  Today is Tuesday, September 29th, 2026, the year
• 5:30
  of our Lord, Donald Trump. We are back Tuesdays
• 5:33
  and Thursdays. So please be sure to subscribe
• 5:37
  so you get notified when we do hit the live stream.
• 5:40
  The boys were on a potty break. Ted's walking
• 5:42
  back in as he gets settled. Let me tell you what
• 5:45
  is on the program today. We're going to be talking
• 5:49
  We're gonna go down memory lane and talk about
• 5:52
  last 2025, the first quarter of 2025 when Doge
• 5:58
  ruled Washington DC. There be Ted. So you guys
• 6:03
  might recall Doge ruled Washington DC last year.
• 6:06
  We'll talk about that because there's a new book
• 6:08
  that dropped from one of Elon Musk's lackeys.
• 6:13
  Was it Mr. Large Testicles? No, no, it wasn't
• 6:17
  Big Balls. It was not big balls. It was a full
• 6:20
  grown adult man in his 40s. So it's not a 19
• 6:24
  year old tech kid. Also, we're going to cover
• 6:29
  something called IMS. You've heard of PMS. This
• 6:35
  is IMS, Irritable Male Syndrome. Oh, I thought
• 6:38
  it was the International Monetary Fund. No, no,
• 6:42
  that's IMF, which is which is run by irritable
• 6:45
  men. by dudes with IMS. Yes, that is true. Also,
• 6:52
  we're going to go, we're going to talk, I think,
• 6:55
  you know, speaking of the International Monetary
• 6:57
  Fund, somebody needs to put the reins on this.
• 7:00
  I would say we're going to talk about draft kings
• 7:02
  and app gambling, I think writ large. Because
• 7:07
  there's some disturbing findings about how bankruptcy
• 7:10
  rates are going through the roof in America Specifically
• 7:14
  among a certain demographic. I'm not gonna reveal
• 7:16
  it here because I'm not gonna give it away. It's
• 7:18
  boiler But yeah, I think a lot of it has to do
• 7:22
  with all of these, you know DraftKings polymarket
• 7:26
  Cal she all that stuff Well, we'll talk about
• 7:29
  the darker side of that. It's not just all fun
• 7:32
  and games and then something something for the
• 7:35
  boys and maybe some of the ladies, Ted, maybe
• 7:38
  some of the ladies, we're gonna talk about large
• 7:41
  breasts. Some of the ladies, yeah, for sure.
• 7:44
  Yeah, yeah, some of the ladies are into that.
• 7:46
  It's not something I have any personal experience
• 7:49
  with, but large breasts. You had your chance.
• 7:53
  I did have, I could still have my chance. True.
• 7:57
  Maybe. We all could, anybody could. Anybody can
• 8:00
  these days. It's 2026 man Large breasts are linked
• 8:03
  to more than just like this pain in the neck
• 8:06
  that you know Women with big boobs tend to complain
• 8:09
  about there's new studies that are out So this
• 8:12
  is like our health segment, but it just has to
• 8:15
  do with the fun bags And we know Robbie is a
• 8:20
  boob man he's he's professed So he said it live
• 8:25
  on air true. No taking it back Robbie. Does that
• 8:27
  apply to trans boobs? He's, uh, no, no. Hard
• 8:31
  no, he says. Nope. Sorry. Uh, just because you
• 8:34
  cause play as a woman does not mean you're a
• 8:36
  woman. Just because you modify your body. How
• 8:39
  would you feel about, how would you feel about
• 8:41
  a lady who was born a lady and is still a lady,
• 8:43
  but has fake boobs, big fake boobs? To be honest,
• 8:46
  I feel sorry for her because if you can't be
• 8:47
  comfortable with yourself, nothing that you change
• 8:50
  is going to make it any better. It's just like
• 8:52
  those women who are addicted and guys too, for
• 8:54
  that matter, who are addicted to plastic surgery.
• 8:56
  You're never going to get the perfection that
• 8:58
  you want. Boobs are boobs, Robbie. Show us your
• 9:01
  shirt, by the way. It's awesome. That's a great.
• 9:06
  That's a great shirt. It is a great shirt. That's
• 9:09
  a great shirt. You guys can. Robbie, where can
• 9:11
  people get that shirt? My my store shop dot West
• 9:15
  Glacier Media dot com. You should also put it
• 9:18
  on the deprogram store. Send it to send it to
• 9:21
  Trent. I can do that. All right. Pretty cool.
• 9:25
  All right, so let's get to the stories. Remember
• 9:28
  Tuesdays and Thursdays, coffee cups, all kinds
• 9:30
  of things. We also have Deport That Heifer merch.
• 9:37
  For those who have female cows that have invaded
• 9:44
  illegally. Someone emailed me and said, do you
• 9:47
  understand how offensive it is that you said?
• 9:51
  They obviously got my email address off of one
• 9:52
  of the shows. and said you should apologize and
• 9:56
  so he did apologize so then by way of well i
• 9:59
  didn't commit suicide so then by way of i retract
• 10:02
  my i know that's what i do you saw what i said
• 10:03
  right like i was like oh so do you want sapuku
• 10:06
  yeah so it's like no sapuku so i retract my apology
• 10:09
  i'm no longer sorry about calling somalia heifer
• 10:12
  i'm going to double down and in order to show
• 10:16
  how serious i am you can now get the pour the
• 10:18
  heifer merch on my store there's coffee cups
• 10:21
  there's shirts Do not ever, do not ever try to
• 10:26
  shame me. Do not ever try to hit me with that
• 10:28
  white guilt, because it will not work. I apologize.
• 10:32
  And he was sincere. And it was kind of like I
• 10:37
  told several people behind the scenes, I was
• 10:39
  like, you know, like in court where they, you
• 10:42
  know, they'll say like, where one lawyer is badgering
• 10:47
  the witness and it's like the other opposing
• 10:50
  counsel says, your honor asked and answered in
• 10:53
  other words already answered right it's like
• 10:56
  it's like look you asked for an apology you received
• 10:59
  one now shut up move on leave it alone and the
• 11:02
  whole thing is the whole reason why i even called
• 11:04
  her a heifer is because i was i was zoomed in
• 11:07
  on the nose ring yes that's not a good reason
• 11:10
  but okay That's where my mind went, didn't have
• 11:14
  to do with it. I know, but your mind went to
• 11:16
  the wrong place. But yeah, okay. Well, I couldn't
• 11:19
  see her boobs, Ted. So I couldn't, so that's
• 11:22
  where I went. I went with the, I went with the
• 11:24
  anatomy I was able to see and that big glistening
• 11:26
  nose ring. And I'm here, you know, what has nose
• 11:30
  rings in Montana on ranches? But she didn't have
• 11:32
  this kind, right? She had the, it doesn't matter.
• 11:35
  Oh, it doesn't matter. This is the, this is the
• 11:37
  cow kind. This is the noncalcine. I tell you
• 11:41
  right now. But it's just the Robbie Brain. That's
• 11:44
  the point. Yes, it was Robbie Brain. And the
• 11:46
  fact that while I apologize for calling you a
• 11:50
  heifer, I do not retract the criticism I had
• 11:53
  that you're not able to answer a question. Well,
• 11:55
  that's true. And so then if you double down on
• 11:58
  me. You know, on Deep Program, I coined the verb
• 12:01
  to senali, which is to fail to refuse to answer
• 12:05
  a question in a straightforward and forthright
• 12:07
  manner. It's true. And that's everyone in Congress.
• 12:12
  That's true. Oh, Sonali. Sonalification of Congress
• 12:15
  is long preceded Sonali. Hold on a minute. I
• 12:19
  will send you something so that way you can see
• 12:22
  so that way you'll that way people are able to
• 12:24
  know. So let me just send this over. But we've
• 12:30
  got to get to the news. Remember, all these segments
• 12:32
  go up later. Yeah. So no. So I lied. So I have
• 12:37
  a so yeah, I have a Deport That Heifer shirt.
• 12:39
  stickers and a coffee cup. And if the emails
• 12:42
  start to keep on coming, I will I will double
• 12:45
  the inventory of the poor that ever stuff. It's
• 12:50
  like it's a it's a it's a Mexican standoff. This
• 12:54
  is Robbie's all his merch is meant to piss off
• 12:57
  your coworkers. Yes. So there you go. I like
• 13:02
  the coffee mug. Coffee mug looks good. Actually.
• 13:06
  I don't see. I think it's Manila inspired. I'm
• 13:09
  just saying. All right. Let's get to the news.
• 13:16
  All right. So first up here, walking down memory
• 13:19
  lane, was Doge a disaster? Don't answer that,
• 13:22
  Ted. I got to get through the article. Can I
• 13:25
  just say, by the way, you heard about the big
• 13:27
  FBI breach, the data breach. I wouldn't be at
• 13:31
  all surprised if it turns out that that happened
• 13:34
  because Doge laid off some of the cybersecurity
• 13:37
  people. Oh, that's possible. I mean, I don't
• 13:41
  know. It was. I don't know. The question is,
• 13:43
  was the whole the whole exercise with Doge a
• 13:46
  disaster? So a Doge insider breaks his silence
• 13:49
  on Elon Musk's chaotic government overhaul. A
• 13:53
  guy called Tyler Hassan arrived in Washington,
• 13:56
  D .C., carrying three suitcases, wearing a tailored
• 13:58
  suit and knowing almost nothing about what awaited
• 14:02
  him. The Houston oil executive was ushered into
• 14:05
  a SpaceX office filled with hoodie clad engineers
• 14:09
  staring into laptops. who didn't bother to look
• 14:12
  up at him, by the way, because that's how these
• 14:14
  hoodie clad tech bros are. His first assignment
• 14:18
  was simple, at least by Elon Musk's standards,
• 14:22
  study the entire Department of Commerce and return
• 14:25
  within days with several ideas on how to fix
• 14:28
  it. Hassan checked into a nearby hotel and told
• 14:31
  his wife he had no idea when he would be home.
• 14:34
  That was the beginning of his 11 month journey
• 14:37
  inside. the Department of Government Efficiency,
• 14:40
  better known as DOGE, the controversial cost
• 14:43
  -cutting operation that tore through Washington
• 14:45
  with a subtlety of a chainsaw in a china shop.
• 14:49
  Now, Hassan is telling his side of the story
• 14:52
  in a memoir. Have we invited this guy onto the
• 14:56
  TMI show? Not yet, because we just discovered
• 14:58
  him. Why not? We just discovered him the other
• 15:02
  night. We got to find out. Okay, so the book
• 15:05
  is called... The book is called Inside Doge,
• 15:08
  the real story from a senior insider. So to critics,
• 15:12
  Doge was a billionaire -powered demolition crew
• 15:14
  responsible for mass layoffs, canceled contracts,
• 15:17
  lawsuits, and damaged federal agencies. Hassan
• 15:21
  paints a far more heroic picture. Oh, that's...
• 15:24
  Funny. Private sector problem solvers changing
• 15:27
  or charging into a government maze built from
• 15:30
  redundant offices, bloated organizational charts,
• 15:34
  and paperwork apparently designed to outlive
• 15:37
  the republic. He says the team worked brutal
• 15:39
  hours, sometimes meeting with Musk until two
• 15:42
  in the morning. Their headquarters featured little
• 15:44
  more than laptops and a giant American flag.
• 15:48
  Around the table sat billionaires. corporate
• 15:50
  turnaround specialists and 22 year old Harvard
• 15:52
  dropouts all convinced they could drag Washington
• 15:55
  into the modern age. Hassan eventually landed
• 15:58
  at the Department of Interior where he reviewed
• 16:02
  grants, consolidated office space, and questioned
• 16:05
  contracts worth hundreds of millions of dollars.
• 16:08
  One vendor's spelling mistakes bothered him so
• 16:11
  much that he included a photograph of that paperwork
• 16:14
  in his book. Nothing says fiscal apocalypse quite
• 16:17
  like a nine -figure invoice that apparently skipped
• 16:20
  the spell check. He also helped officially rename
• 16:23
  the Gulf of Mexico the Gulf of America and flew
• 16:26
  to California during the wildfires to investigate
• 16:29
  why a major pumping plant was not operating at
• 16:32
  full capacity. Those moves made him a public
• 16:35
  target and brought threats against he and his
• 16:38
  family. Doge never came close to Musk's promised
• 16:42
  $2 trillion in savings. The GAO, that's the Government
• 16:47
  Accountability Office, that's an official thing
• 16:50
  in Washington. And one of the few government
• 16:52
  organizations that's actually widely respected.
• 16:55
  Right, the GAO also found problems with Doge's
• 17:00
  own accounting. Hassan still calls the operation
• 17:03
  a success because it forced Americans to confront
• 17:05
  the national debt. He admits Doge badly lost
• 17:09
  the public relations battle. Its members wielded
• 17:12
  enormous power while granting few interviews
• 17:15
  and offering little explanation. Once they surrendered
• 17:19
  the narrative, their critics eagerly wrote it
• 17:22
  for them. Hassan insists Doge was quote, not
• 17:26
  a wrecking ball. but a catalyst. A catalyst for
• 17:29
  what? Dismissed federal workers that that distinction
• 17:32
  may feel considerably less tidy. Go ahead, Ted,
• 17:36
  go ahead. A catalyst for what? Like, what is
• 17:41
  he claiming? I always believe in giving the devil
• 17:45
  its due. And I think there's always a story to
• 17:47
  be told that did not make official narratives.
• 17:51
  But what is he claiming was actually accomplished
• 17:54
  by Doge? Well, he's saying it didn't achieve
• 17:58
  its two trillion dollar when we know that honest,
• 18:01
  but what did ever? He's saying that it it at
• 18:06
  at the very least brought to the forefront the
• 18:09
  bloat of of America's We all know about that
• 18:17
  everyone knows about the $800 Like breaking news
• 18:24
  stop the presses listen when I back in that my
• 18:27
  last Day job was working at a I was a an analyst
• 18:32
  at a company called the spectrum group in San
• 18:34
  Francisco It was founded by a bunch of former
• 18:37
  bankers There were like 35 of them and they all
• 18:41
  worked for the Bank of New York and basically
• 18:43
  they created a bank consulting firm where they
• 18:47
  purport what they sold their services that they
• 18:49
  sold to banks, usually on the western part of
• 18:53
  the United States, like Bank West and places
• 18:56
  like that, was we'll come in, we'll swoop in,
• 19:00
  and because we're big, fancy, former New York
• 19:03
  bankers, we will swoop in and tell you, little
• 19:06
  regional banks, what you're doing wrong and how
• 19:08
  you can become more efficient. Now, how did this
• 19:10
  actually work? The way it worked was kind of
• 19:13
  like a discount McKinsey. We would swoop in,
• 19:19
  We would ask them for a bunch of their internal
• 19:22
  documents. Then we would look at them over the
• 19:25
  course of like a few weeks, maybe a month. And
• 19:29
  then we'd come back. We'd come up with a bunch
• 19:31
  of PowerPoints. That was my main job, creating
• 19:34
  the PowerPoints. Come in and explain to them
• 19:38
  how they could do this better or stop doing that
• 19:40
  wrong now I remember just thinking this whole
• 19:43
  thing from the very beginning is bullshit these
• 19:46
  people have a bank that they've been running
• 19:48
  for years and is profitable enough to be able
• 19:51
  to waste money on companies like ours and Yet
• 19:54
  we're gonna come in we're gonna we're gonna parachute
• 19:57
  in from another from a time zone away We're gonna
• 20:00
  spend a couple of weeks like dilettantes looking
• 20:03
  over their shit and then telling them what they
• 20:06
  could be doing different. All the information
• 20:09
  that we have, they have, because we got it from
• 20:13
  them. So literally the only thing that we're
• 20:16
  supposedly providing is maybe we're smarter than
• 20:20
  they are, probably not. And maybe we have the
• 20:25
  outsider point of view and we can see things
• 20:28
  that when you're in the mix, maybe that, right?
• 20:31
  I gotta say, I didn't have a lot of confidence
• 20:34
  in this whole idea. And I think Doge sounded
• 20:38
  like they did this McKinsey approach on steroids.
• 20:42
  I mean, they come in, the Department of Commerce
• 20:44
  employs hundreds of thousands of federal workers.
• 20:48
  It is an incredibly complicated and vast sprawling
• 20:52
  bureaucracy where there's no doubt incredible
• 20:55
  amounts of bloat. But also they're doing a lot
• 20:58
  of things right, right? They come in, and what
• 21:01
  was their approach? It was very Reagan, like,
• 21:04
  we're just gonna fire a bunch of people. Okay,
• 21:07
  so, firing a bunch of people is not really how
• 21:09
  you get efficiency. Like, efficiency, I think
• 21:13
  they forgot what the word efficiency means. Efficiency
• 21:16
  means you do a great job with as few expenses
• 21:21
  and personnel as possible. Okay, well. With the
• 21:24
  overhead low. Right, as low as possible. Mean
• 21:27
  and mean. But the key part is doing a great job.
• 21:30
  If you just come in and you just fire a bunch
• 21:33
  of people, the job is not only not going to be
• 21:35
  done great, it's in many cases not going to get
• 21:38
  done at all. And so, you know, you're literally
• 21:41
  worse. Like just I mean, in some cases, efficiency
• 21:43
  might call for hiring more people and might call
• 21:47
  for spending more money for it to be more efficient.
• 21:50
  So there's some of that. And so like they basically
• 21:53
  just like they did. These were people who like
• 21:57
  at least at Spectrum Group. These were bankers
• 22:01
  advising banks. Here, you're talking about like
• 22:04
  people who've never set foot in the Department
• 22:06
  of Commerce. Right. They've never, they've known
• 22:09
  nothing about government. They don't know how
• 22:11
  it works. They've never once had a government
• 22:12
  ID, ever. Right. And they come in. They don't
• 22:14
  know how it works. They don't know anything about
• 22:17
  it. And it was like a ragtag team of like freaking
• 22:20
  20 year olds. And tech, yeah, no experience.
• 22:23
  I mean, look, I'm 63. No life experience. I have
• 22:27
  life experience but let me tell you I've never
• 22:28
  worked for the federal government and I'm not
• 22:30
  I'm completely unqualified to go in and spend
• 22:33
  a month at the Department of Agriculture and
• 22:36
  I'm not going to have any insights whatsoever
• 22:38
  at the end of that month that's going to help
• 22:40
  them to run things more efficiently. Now if you
• 22:43
  hired people who were let's say people who were
• 22:47
  you know they had 30 years let's just say it
• 22:49
  was like people who are about to retire from
• 22:51
  the Department of Commerce and you're like we're
• 22:54
  bringing in the best and the brightest of the
• 22:56
  retirees we're going to offer them a big bonus
• 22:58
  and say listen before you you know now that you
• 23:00
  can really be honest consult with them you've
• 23:02
  worked here for so long you know who sucks and
• 23:06
  should be fired right you know what departments
• 23:08
  don't do you know what agencies don't do shit
• 23:11
  and could be eliminated and you know which ones
• 23:13
  are struggling and could use more resources Get
• 23:16
  those people. Exit interviews are the way. Those
• 23:21
  are the people who know everything. They know
• 23:23
  where all the bodies are buried. They know everything.
• 23:26
  Well, let me give you from the flip side of this.
• 23:31
  And not because I was in favor of Doge. I did
• 23:33
  not like seeing the chaos that it created. Plus
• 23:36
  tech bros are morons. So they're not able to
• 23:39
  fucking... I wouldn't trust those fuckers to
• 23:41
  tell a pizzeria how to do a better job. So look,
• 23:44
  I have... many many many a a source in many many
• 23:52
  many government agencies Right many many many
• 23:57
  federal workers many many men many of them So
• 24:01
  when this was all going on I could tell you some
• 24:03
  of the people that were laid off from stories
• 24:05
  from people that were laid off people that stuck
• 24:08
  around people that were on edge for months right
• 24:10
  because I mean that's no way for anybody to live
• 24:13
  number one that's torturous and awful number
• 24:15
  one And when Doge was laying off the people They
• 24:20
  did it wrong. I was trying to tweet at them because
• 24:24
  I do as a journalist I do have inside sources
• 24:28
  and I could give them insights without a lot
• 24:31
  of people didn't want to speak up because they
• 24:32
  were for fearful of They were fearful of retribution,
• 24:35
  right? That makes sense. It happens in a government
• 24:38
  job, too You can still you know people believe
• 24:40
  this Narrative that you can't get fired from
• 24:43
  a government job You can even prior to Trump
• 24:46
  coming in there's a process for it, but there
• 24:49
  are protections in place So you can't just get
• 24:51
  just get fired for whatever reason like the private
• 24:54
  sector, right? The private sector is an at -will
• 24:56
  type employment agreement. It's not so with with
• 25:02
  federal workers So that's number one. Complaint
• 25:04
  number one is how awful all of the federal workers
• 25:07
  were treated. Now, to Doge's point, not their
• 25:11
  credit necessarily, but to bolster their point,
• 25:14
  they weren't wrong in saying there are a lot
• 25:17
  of shit -ass government employees that have no
• 25:22
  freaking idea how to do their own job. No doubt.
• 25:27
  I know plenty of those too. Some of these sources.
• 25:30
  I mean, that's true. And that's true in private
• 25:32
  industry as well. I mean, it's true. Sure. Sure.
• 25:34
  But there's even more. I mean, just a glut of
• 25:37
  them in in Washington. It's almost. Yeah. And
• 25:41
  the reason is and for people who are not clear
• 25:43
  on why that might be the case, it's mainly because
• 25:48
  how what's the best way to put this? So the trade
• 25:52
  off when you go work for the government is it's
• 25:54
  relatively safe. OK, relatively stable up until
• 25:57
  that point. you will you know you probably will
• 26:00
  be able to go in and if you want you'll probably
• 26:02
  be able to retire from there something that's
• 26:04
  not true most private jobs um and also but the
• 26:08
  trade -off is it doesn't pay well and um now
• 26:12
  the benefits are good The benefits are good,
• 26:15
  retirement, all that. But the pay kind of blows,
• 26:18
  and the thing is your chances of promotion are
• 26:21
  going to be slow or non -existent. Well, the
• 26:24
  people that do get promoted aren't necessarily,
• 26:26
  it's not necessarily a meritocracy. Right. Well,
• 26:29
  that's true in private industry too. That's true.
• 26:33
  And so it's the suck ups, it's the political
• 26:35
  connections, and all that. Yes, 100%. But the
• 26:38
  trade -off is, so a lot of, so like, yeah, the
• 26:40
  kind of person. But when you take away the stability,
• 26:42
  Who wants to stick around? Well, there's no reason
• 26:44
  to work there, right? I mean, the main reason
• 26:46
  you work in civil service is so that, you know,
• 26:48
  you want you care about job security. By the
• 26:50
  way, I don't fault anyone who cares about job
• 26:52
  security. You care about 35 years from now when
• 26:56
  you retire. That's what you're planning on. There's
• 27:00
  a certain type of person that's attracted to
• 27:02
  that type of stability. Yeah. And there's nothing
• 27:05
  wrong with that. But the point is that like the
• 27:07
  kind of but that will also bring in in the same
• 27:10
  way that you know, the Catholic priesthood where
• 27:13
  you're not allowed to marry or have sex with
• 27:15
  women will attract a certain kind of pervert.
• 27:19
  The, you know, like a job that has that basically
• 27:23
  primary, whose primary benefit is stability will
• 27:25
  also attract lazy people. So, yeah, that yeah,
• 27:29
  if you make it too hard to fire them. So that's,
• 27:32
  you know, this is like an overcorrection, I would
• 27:34
  say the pendulum swinging far in the wrong direction.
• 27:36
  By the way, Doge never went to where the money
• 27:39
  really was. The defense department so no, I know
• 27:43
  Right, that's the third rail like you just can't
• 27:46
  go there. So so even though it's 54 percent of
• 27:49
  federal spending I could tell you from From some
• 27:53
  of the youngsters that came in with doge. Some
• 27:56
  of them are still there um, some of these people
• 27:58
  actually they really they These young people
• 28:02
  in particular actually cared ted. These are like
• 28:05
  really smart I'll say kids, because I'm literally
• 28:08
  old enough to be their mom. They're in their
• 28:09
  early 20s. They're kids. They're like your son's
• 28:14
  age, Ted. They're literally your son's age. I
• 28:16
  can be their mom. You could be their dad. Let
• 28:18
  me tell you, my son is not qualified. He is brilliant.
• 28:21
  But he's not qualified to reconfigure the Department
• 28:26
  of the Treasury. He's just not. Right. Right.
• 28:29
  To come in and tell him. Not until he's at least
• 28:32
  26. Then he can do it. So this so this was you
• 28:36
  know, a lot of it was was the tech bro Like,
• 28:42
  you know how they their methodology of like like
• 28:45
  go in fast move fast and break things That was
• 28:48
  the kind of ideology that they took in here because
• 28:50
  they thought That that that could be that was
• 28:53
  employed in wealth ideology, too Well, so they
• 28:57
  thought they could do that with the federal government
• 29:00
  and once they got in there and realized how much
• 29:04
  shit was mired in red tape every which way you
• 29:07
  turn you were you were walking into into literally
• 29:12
  like like the gordy it's the gordian knot right
• 29:16
  it's everywhere you turn yeah it's a gordian
• 29:18
  that's exactly right ted it's a gordian knot
• 29:20
  and these people didn't know including elon musk
• 29:22
  didn't know that once you're on the inside. How
• 29:25
  could they not know that though? I know that
• 29:30
  and I don't work in government. I know that's
• 29:34
  like have you guys ever read any articles about
• 29:36
  like government red tape and how some people
• 29:39
  quit the government because they can't make progress
• 29:42
  and everywhere they turn they're blocked from
• 29:45
  making progress and why progress is so slow.
• 29:48
  They didn't these these kids didn't Know that
• 29:51
  but also they didn't ask questions, right? Like
• 29:56
  God forbid that I would have such a fucking job
• 30:00
  as those doge guys because I would hate it But
• 30:03
  let's just say because I hate any I hate any
• 30:05
  assignment that I'm unqualified to do It just
• 30:08
  drives me nuts. But like but let's just say failure,
• 30:12
  but let's exactly but let's just say I did it
• 30:15
  I would be like well my Honestly, I would be
• 30:17
  on a listening tour. I'd be like, I need to interview
• 30:20
  lots of people. I need to talk to lots of people.
• 30:22
  I need to spend hundreds of hours asking questions
• 30:25
  and finding out how things work before I could
• 30:27
  even begin to think about starting to analyze
• 30:30
  the situation. I mean, they were literally, Doge
• 30:34
  was literally firing people one or two months
• 30:38
  into the new term of the Trump administration.
• 30:41
  I mean, How could you fire anyone you didn't
• 30:44
  know anything anybody you couldn't you couldn't
• 30:47
  possibly know anything when they did fire people
• 30:49
  Ted Here's what they here's what they did wrong.
• 30:51
  Okay, this is this is Well a lot of a lot of
• 30:56
  wrong, but here's where I saw I saw the the most
• 31:00
  glaring obvious wrong You know as they say in
• 31:03
  the in the private sector world Ted last one
• 31:06
  in first one out, right? That's basically what
• 31:10
  they employed here in the federal government.
• 31:13
  So instead of allowing the lower tenure, let's
• 31:17
  say 10 years or less, right? Like you've got
• 31:20
  experience, you've been there 10 years, you know
• 31:21
  what the hell's going on, right? Instead of like
• 31:25
  zeroing in on like a key target demo to keep,
• 31:29
  they went backwards down the down the roster
• 31:32
  of who came in last and started firing upwards
• 31:34
  until they met X amount of firing. quota or whatever
• 31:39
  they wanted to save from payroll or whatever
• 31:41
  so you're hiring the young innovative ready to
• 31:45
  like you know people with with modern knowledge
• 31:48
  of how to fix things uh in order to keep the
• 31:53
  entrenched bureaucrats that actually like why
• 31:56
  the government runs the way it runs you're keeping
• 31:58
  the entrenched sorry ted entrenched 62 year olds
• 32:02
  the entrenched 63 year old i'm 63 that have that
• 32:06
  have been there Mm -hmm for Decades that have
• 32:10
  caused this problem and I've seen it firsthand.
• 32:13
  I've seen evidence of this The people that have
• 32:17
  been there for as long as I'm saying 20 30 40
• 32:21
  40 years They don't want to rock the boat. They
• 32:24
  want they want the status quo They might Part
• 32:29
  of its ego. They might want to change things
• 32:31
  a little bit just to modernize a little bit Like,
• 32:34
  so you can click a button rather than review
• 32:36
  multiple spreadsheets and compile one report,
• 32:40
  right? They might want something to be done in
• 32:42
  one click button. But for the most part, those
• 32:46
  entrenched bureaucrats, the feds, don't want
• 32:50
  change because they see retirement is right there.
• 32:54
  Right there. So they just want to get through
• 32:56
  this. So Doge went and fired all the younger
• 32:59
  people, the newer hires, that could have really
• 33:04
  exacted change that they were looking for. They
• 33:06
  kept, instead they kept the people at the top
• 33:08
  that have been there for 35 years. That was like
• 33:12
  problem number one. That like, hello, you are
• 33:15
  20 years old. Why would you think, remember Ted,
• 33:19
  what's the punk rock saying? Like never trust
• 33:21
  anyone over 30? That's right. Well that was the
• 33:24
  wild in the streets thing. Hello, these are 20
• 33:29
  year old Doge kids. Why are you firing the people
• 33:32
  in your age demographic that think like you?
• 33:35
  Why are you keeping the people that think like
• 33:38
  your parents? They were part of the problem.
• 33:41
  So that was I think that's a lot of of what I
• 33:44
  saw is like why they couldn't achieve what they
• 33:46
  wanted to achieve was because when they came
• 33:48
  and slaughtered everybody, they slaughtered all
• 33:51
  the people that were there less than 20 years.
• 33:54
  Yeah, but they only they only had one trick in
• 33:57
  there in there. They only had one tool in their
• 34:00
  tool chest. Yeah, firing people. Literally, Doge
• 34:03
  never hired a single employee, right? So except
• 34:06
  for their own. They canceled some contracts,
• 34:09
  which I think there were some, you know, I've
• 34:11
  seen some of these these pitches and some of
• 34:14
  these contracts. Hmm. They're wow. Let me just
• 34:19
  say, like, for example, at the DOD, for example,
• 34:22
  let's use that. There are contracts with. with
• 34:27
  builders, construction companies that charge
• 34:29
  the DOD for one screw, a screw that you put in
• 34:32
  your wall to hang up a painting, a screw, they'll
• 34:37
  charge $4 for one screw. Imagine a box. It's
• 34:42
  like a hospital. Imagine a box. Yes. Like Navi
• 34:45
  said. Or a Tylenol. Right. Imagine a box of screws.
• 34:49
  There's like 100 screws in there. Right? One
• 34:53
  box. So This was seen everywhere. So even though
• 34:57
  somebody could offer a better service to the
• 35:00
  government as a contractor, better subcontractors
• 35:05
  to the government, those contracts were not getting
• 35:09
  accepted or those bids were not getting accepted
• 35:12
  because the entrenched people were picking their
• 35:17
  favorites that they'd always used for the past
• 35:19
  30, 40, five years, right? So that was part of
• 35:22
  the problem. It started from day one. They were
• 35:27
  firing all the wrong people if they wanted to
• 35:30
  make an impact They should have eased the people
• 35:34
  in their 60s off into retirement Done it humanely
• 35:38
  right and they just came in so this dude's book.
• 35:41
  I don't know I'm not promoting his book obviously,
• 35:43
  but it is an interesting look into how he thinks
• 35:46
  he sees Doge as like the white knight that was
• 35:50
  blocked at every turn Of course he sees like
• 35:53
  he sees everybody sees themselves as the good
• 35:55
  guy. Benjamin Netanyahu sees himself as the good
• 35:57
  guy, right? I think, I mean, I don't, I don't
• 35:59
  know. I mean, yeah, no, I'm sure Hitler thought
• 36:03
  of himself as a good guy. Yeah. So, so Doge,
• 36:06
  you know, the, the little bits and pieces of
• 36:08
  this guy's book that have been revealed indicate
• 36:11
  that it seems the Doge guys, many of them had
• 36:15
  good intent, but they didn't know how to deploy
• 36:18
  it. And they view themselves as the white knight.
• 36:22
  that that was blocked at every turn and they
• 36:25
  didn't have enough time to to achieve their goals
• 36:28
  but i think they were all retards yeah i think
• 36:31
  it's just not good you're you're not the government
• 36:34
  needs the fixing wasn't going to happen in in
• 36:38
  the one year or whatever they were allowing doge
• 36:41
  to to stay in there elon musk left after five
• 36:43
  months obviously then he had the fight with trump
• 36:45
  and now they're buddies again and so yada yada
• 36:47
  yada space x contracts launched a rocket yesterday.
• 36:52
  So there you go. Yada, yada, yada. The rest is
• 36:55
  history. The government is kind of back to doing
• 36:58
  what it does after the most tumultuous year in
• 37:01
  the, you know, federal workspace ever, ever,
• 37:05
  ever, ever. So interesting. All right. We have
• 37:12
  a question about the jaws, right? Someone was
• 37:16
  asking about my jaw. That one are the jaws white
• 37:19
  or black? White or black. It's like I think a
• 37:24
  very faint powder blue That's what I think or
• 37:27
  gray grayish blue. Yeah, like a very soft soft
• 37:30
  soft powder blue with the black teeth And I'm
• 37:35
  under rocket and I'm under rocket wants to know
• 37:37
  doge says doge was musk and his billionaire buddies
• 37:40
  Destroying any part of the government who was
• 37:42
  investigating them like the Consumer Protection
• 37:45
  Agency No, they destroyed a lot of other things.
• 37:49
  I will say I I I do think it was mostly at least
• 37:55
  half good that they did something with USAID
• 37:58
  because that's that's kind of a sham. I mean,
• 38:01
  there were some good that it did, but there's
• 38:02
  nothing like there's no kind of of crime that's
• 38:11
  ever, you know, this kind of this large of, you
• 38:14
  know, a grift right as USAID where it's not mixed
• 38:18
  in with some do gooding. You have to. You have
• 38:21
  to have some do -gooding in there. And then you
• 38:24
  can bury your crimes or whatever shakedowns you're
• 38:27
  doing of other governments, other countries,
• 38:29
  other peoples. You bury it under the good stuff
• 38:32
  that you are doing. So there's that. Here's the
• 38:36
  jaws again. We'll get to your story, Ted. OK,
• 38:42
  by the way, one more comment from Anna, Annie,
• 38:46
  Anna. That was the biggest issue. Those 20 year
• 38:48
  old kids had no purpose being there. They didn't
• 38:50
  have any security clearance either. The security
• 38:54
  clearance thing was an issue. Anyway, is irritable
• 38:59
  male syndrome real or are men just getting grumpier?
• 39:05
  Shut up, asshole. If the middle -aged man in
• 39:08
  your life suddenly seems exhausted, withdrawn,
• 39:10
  and ready to declare war over the dishwasher,
• 39:14
  the internet may have a diagnosis. irritable
• 39:17
  male syndrome. IMS supposedly describes a cluster
• 39:20
  of symptoms including anger, anxiety, fatigue,
• 39:24
  depression, poor concentration, low libido, and
• 39:28
  reduced tolerance for stress. There's one important
• 39:31
  catch. Irritable male syndrome is not an officially
• 39:33
  recognized medical or psychiatric diagnosis.
• 39:36
  Doctors can't test for it. and it's not listed
• 39:39
  as a disorder. It grew out of animal research.
• 39:42
  Back in 2001, reproductive scientist Gerald Lincoln
• 39:45
  used IMS to describe nervousness, irritability,
• 39:48
  lethargy, and depression observed in adult male
• 39:51
  mammals following the withdrawal of testosterone.
• 39:55
  Primary model was the soway ram, a type of sheep
• 40:00
  whose testosterone levels changed dramatically
• 40:03
  with the breeding season. The phrase later escaped
• 40:06
  the barnyard and entered popular lexicons about
• 40:09
  aging men. There's some legit biology under the
• 40:12
  catchy label. Testosterone levels generally go
• 40:15
  down by about 1 % a year, beginning around age
• 40:18
  30 or 40. Men with genuine testosterone deficiency,
• 40:22
  known as low T, or hypogonadism, not to be confused
• 40:27
  with hypergonad, which is what Pete Hikes at
• 40:31
  this, can experience irritability, depressed
• 40:34
  mood, low energy, Poor concentration, wait, what
• 40:37
  did that say? Reduced muscle mass, erectile dysfunction
• 40:40
  and lower sex drive. But aging dudes do not experience
• 40:45
  a sudden hormonal shutdown like menopause. It's
• 40:49
  gradual and normal aging alone doesn't explain
• 40:52
  every bad mood or slammed cabinet. The same symptoms
• 40:56
  can also come from other things like depression,
• 40:58
  anxiety, stress, low sleep. obesity, diabetes,
• 41:03
  excessive alcohol use, relationship problems,
• 41:06
  or certain meds. So it's hard to pinpoint what
• 41:10
  IMS is. Doctors diagnose testosterone deficiency
• 41:15
  only when symptoms appear alongside low hormone
• 41:18
  levels. Medical guidelines call for at least
• 41:21
  two early morning blood tests because testosterone
• 41:24
  fluctuates throughout the day. So Basically,
• 41:28
  it's hard to quantify what this is exactly. Yes.
• 41:37
  But as we know, Ted, throughout history, grumpy
• 41:41
  old men is a thing. There's a movie. I mean,
• 41:43
  Walter Mathow. True. There's a movie. It's true.
• 41:48
  Bernie Sanders. Everybody on Capitol Hill. True.
• 41:52
  You wanted me to hold a gaggle of grumpy old
• 41:55
  men? Go to Capitol Hill. That was my life for
• 41:58
  a few years. Go to Capitol Hill. You will find
• 42:02
  a bunch of crotchety grumpy old men running this
• 42:07
  country. Chuck Grassley, 95 years old. That's
• 42:10
  right, ladies and gentlemen, 95 older than your
• 42:13
  dad, Ted. True. Your dad's a young whippersnapper
• 42:16
  compared to Chuck Grassley. No, that's not true.
• 42:18
  My dad's 98. Oh, what? Yeah. Holy moly! Okay,
• 42:25
  Chuck Grassley is the young whippersnapper compared
• 42:27
  to your dad. He's a mere child. Oh my gosh! He's
• 42:32
  almost a hundred? Yeah, yeah, he sure is. Oh,
• 42:34
  he had you late in life. Not really, no. I mean,
• 42:38
  you know, I mean, I guess, though, I guess he
• 42:39
  was 30. He was 35 when I was born. Oh, I can't
• 42:45
  do math. Well, for that era, all the way up until...
• 42:48
  That was late at that time. You're absolutely
• 42:50
  right about that. So anyway, so this IMS thing.
• 42:55
  I do have a lot to say about this, Ted, because
• 42:57
  I have researched. I didn't know. I mean, there
• 42:59
  was no label for it when I began researching
• 43:01
  it a couple of years ago. But there is a term.
• 43:05
  There is a medical term. It is called andropause.
• 43:09
  Women have menopause. It's like menopause, basically.
• 43:13
  It's manopause. Like, I would market it as man
• 43:17
  -opause versus women's menopause. Andropause
• 43:21
  sounds like andropoise lamp, which is not the
• 43:24
  same thing, angle poise lamp. But if you look
• 43:29
  up andropause and how it kind of creeps up, basically
• 43:33
  after a man turns 35, so basically when you start
• 43:35
  entering middle age, it's the same thing for
• 43:37
  a woman entering perimenopause. I thought I was
• 43:41
  having my para menopausal my first peri menopausal
• 43:44
  symptom Last year around this time, but it turns
• 43:47
  out I was pregnant Oops surprise, but it was
• 43:51
  like similar symptoms. So so look menopause Women
• 43:55
  go through the peri phase for it could be a year
• 43:58
  two years five years ten years It could be it
• 44:00
  for a long time, right? It could be a drawn -out
• 44:02
  thing and then you finally hit the wall and and
• 44:05
  you don't have your period anymore And that that's
• 44:07
  the end of it For you men, it just goes on. There's
• 44:12
  no hard stop. You don't crash into a wall like
• 44:15
  a woman does with menopause. So for you guys,
• 44:18
  it is andropause. The testosterone goes down.
• 44:22
  Here's the thing. Your estrogen goes up. People
• 44:25
  don't realize what a very, very delicate balance
• 44:29
  it is, Ted, for men and women. Right. But since
• 44:33
  we're talking about men here, we'll just talk
• 44:34
  about you guys. You guys are very that much more
• 44:40
  sensitive to hormonal imbalances than true true
• 44:44
  because testosterone which women also have it
• 44:48
  plays such a pertinent role in your vitality
• 44:53
  in in Yes aggression, but people you know, that's
• 44:57
  you know on the face of it. It plays a vital
• 44:59
  role in not having brain fog in having Energy
• 45:03
  to literally get up and face the day that comes
• 45:06
  from testosterone when you have androgenic properties
• 45:09
  in your in your hormone levels changing fluctuating
• 45:13
  when you're a man You become this grumpy old
• 45:15
  man. You start getting the man boobs You start
• 45:19
  you start getting the the brain fog and forgetting
• 45:21
  things so it may not necessarily be that somebody
• 45:25
  some middle -aged man that you know is, well,
• 45:28
  oh, he's getting early signs of dementia. It
• 45:31
  may not be that. It might just be that he's entered
• 45:36
  andropause and nobody knows about andropause.
• 45:39
  That's what causes irritable male syndrome. Now,
• 45:43
  like the article suggests, it continues forever,
• 45:47
  Ted, as your testosterone. Until you die. Until
• 45:50
  you die. Again, look. Look, what did they do
• 45:55
  for Bernie Sanders at Biden's inauguration? Remember
• 45:58
  they turned him into Elf on a Shelf? Well, it
• 46:02
  was cold and he was basically in one corner.
• 46:07
  Well, it was during COVID too, so he was off
• 46:09
  in a corner wearing his mask and with his earmuffs
• 46:12
  on. And he was sitting there grumpily. He was
• 46:15
  all like Vermonting it up. Right. And and yeah.
• 46:19
  But his arms are crossed and he had that look.
• 46:21
  Well, he was cold, man. He was fucking cold.
• 46:24
  I mean, you know, you can't blame the dude for
• 46:26
  being cold when it's fucking cold. I mean, it
• 46:28
  was cold. Bernie's in his mid 80s, but he's the
• 46:31
  he's the joke that everybody on Capitol Hill,
• 46:33
  like when you talk about a grumpy old man, you
• 46:35
  talk about Bernie. He's actually not that grumpy.
• 46:38
  If you know, he's actually a nice man. And he's
• 46:41
  very funny. He's more like Mary. It's more that
• 46:44
  he's more just Brooklyn. He just, right, right.
• 46:47
  He just, he's kind of got that Larry David sense
• 46:50
  of humor. Well, yeah. Yeah. Larry David played
• 46:53
  him to an amazing degree. Yes. But, but on the
• 46:58
  face of it, he seems like he'd be a grumpy old
• 47:01
  man. That's the face of a grumpy old man. I'm
• 47:04
  talking literally, if you eyeball a grumpy old
• 47:08
  man, he looks the part. Not saying Bernie Sanders
• 47:11
  actually is he. The few encounters I've had with
• 47:13
  him, very nice. I have to go. So, you know, of
• 47:15
  course, obviously, as a 63 year old guy, I had
• 47:18
  to go through this, right, and sort of think,
• 47:20
  OK, how much of this applies to myself? Right.
• 47:25
  And I'm like, OK, so I do think I have less generally
• 47:30
  less tolerance for nonsense than I used to. So
• 47:34
  it may be, in fact, a chemical thing, right,
• 47:37
  instead of. You know, it may be hormonal. I've
• 47:40
  always thought of it as just like a life, you
• 47:42
  know, the accumulation of a lifetime of bullshit
• 47:45
  Just gets you to a point where you're just like,
• 47:48
  all right, whatever fuck you but it could just
• 47:51
  be just like obviously so much of our of our
• 47:54
  what we think is like, you know, our fee fees
• 47:57
  is really just something more Ted when you have
• 48:01
  less when you have higher estrogen as a man I'm
• 48:04
  not saying as a woman same thing with anxiety
• 48:06
  higher estrogen lower testosterone of course
• 48:08
  I have more anxiety the whole country's falling
• 48:10
  apart um fatigue I would say I'm just working
• 48:15
  I always work a lot I've always been tired depression
• 48:19
  not really an issue for me um poor concentration
• 48:23
  definitely not an issue for me um I'm uh low
• 48:28
  libido i'll just say not a problem and um and
• 48:32
  uh reduced tolerance for stress maybe a little
• 48:36
  um but i was also thinking i don't think i really
• 48:40
  have i've never been tested for my testosterone
• 48:42
  levels to my knowledge But I don't think I ever
• 48:45
  had the highest testosterone levels. And the
• 48:47
  reason I say that is because, like, look, I'm
• 48:49
  63 years old and I still have a lot of my hair.
• 48:52
  And male pattern baldness is associated with
• 48:56
  high T levels, right? So when dudes go bald early...
• 49:00
  Or use steroids. Yeah. They lose their hair,
• 49:04
  right? So when you end up rolling like, you know,
• 49:08
  old Steve Miller style... uh you know he has
• 49:11
  a lot of testosterone or for or or jesse ventura
• 49:15
  or you know steven miller from the the world's
• 49:18
  ugliest man um so it's like i mean he is literally
• 49:23
  the world's ugliest man like i don't know no
• 49:25
  matter who you are you are better looking than
• 49:27
  steven miller it's it's true brian stelter or
• 49:30
  steven miller come on oh come on brian stelter
• 49:32
  is like a rock god compared to It's like I would
• 49:37
  have him sit on my face anytime compared to,
• 49:39
  I don't even want Steve Miller in my house. I
• 49:41
  don't want Steve Miller on my planet. He's so,
• 49:43
  I'm so worried. He married up. He married up.
• 49:46
  She's a gross person. She's disgusting. Yeah.
• 49:49
  As a human, she's terrible, but looks -wise,
• 49:52
  he really married up. Oh yeah. All that testosterone.
• 49:55
  I guess they got a lot of kids too. Yeah. And
• 49:57
  they think about like really, yeah. I mean, there's
• 49:59
  a lot of dudes you think about like really testosterone.
• 50:04
  They're often. bald or balding, right? So I bet
• 50:08
  I never had like the also I matured late. So
• 50:12
  I mean, I had like, there was no like late bloomer.
• 50:15
  There was no grass on the playing field until
• 50:17
  I was like, 18. I hardly had I had like the I
• 50:22
  had like the body hair of like an Asian dude
• 50:24
  until I was like, my late 20s or early 30s. So
• 50:29
  kidding. Yeah. So I think that basically my I
• 50:32
  started out at a lower level. So probably my
• 50:35
  loss is more subtle. So I don't know. I think
• 50:38
  if you start at a high level. So I wonder if
• 50:41
  you all end up at the same point. Do you know
• 50:44
  what I mean? Like at 70? Do all 70 year old dudes
• 50:47
  end up at the same place? No, no, there's science
• 50:49
  behind that too, for late bloomers. Like, like
• 50:52
  there I've I've been reading obviously as a again
• 50:56
  new mom. for late bloomer kids, for example,
• 50:59
  when they, if you lose your teeth late, like
• 51:02
  your front teeth or whatever, there's indications
• 51:05
  about that. That is, that's the indicator that
• 51:09
  physically the kid will be a late bloomer and
• 51:12
  less likely to, you know, hit that wall at, let's
• 51:16
  say 65. And some people look ancient like Betty
• 51:19
  White, Betty White looked old forever. Yeah.
• 51:22
  Right. Yeah. So she probably was not a late bloomer.
• 51:27
  She stayed there. She stayed there for literally
• 51:30
  until the day she died when she was like just
• 51:32
  short of 100. She was like 99, but she looked
• 51:36
  old at like 55. 55! Yeah, I'm looking her up
• 51:41
  to see what she looked like when she was 16.
• 51:45
  Was she famous when she was 16? No, but there's
• 51:47
  got to be pictures. Oh, there's a picture of
• 51:49
  her when she was 16. OK, so I'm going to put
• 51:52
  her in the chat. She probably looked a link to
• 51:56
  it. You can put her up. She was probably very
• 52:00
  mature looking shoot There she is Send me the
• 52:09
  link to that send me the link to that hold on
• 52:11
  cute, but girls in that era I think people in
• 52:15
  that era we should let me let me backtrack a
• 52:18
  little bit after us talking with dr. Shauna Swan
• 52:22
  remember a couple months ago, right about testosterone
• 52:26
  and estrogen and all that stuff people in Betty
• 52:30
  White's era, they had more testosterone, they
• 52:33
  had more, women had more eggs, men had more,
• 52:36
  more semen, more swimmers in their semen than
• 52:42
  they do, than men do now. All right, I'm doing
• 52:45
  the screen share. You should be able to get it
• 52:47
  up there. There you are. That's her, she's 16
• 52:51
  there. She looks a little more mature, I would
• 52:54
  say. I mean, she definitely, I mean, of course,
• 52:56
  it was a long time ago, in 1939. Uh, 1937. But
• 53:02
  people, people in that era... Come on, she doesn't
• 53:04
  look, seriously, she does not look like it. Look,
• 53:07
  just look, take, don't, ignore, ignore the, the,
• 53:11
  the hairdo and just look at her face. She looks
• 53:14
  a little older than 18, right? I mean, I'd say
• 53:17
  like, if I told you, oh, that lady's 20, you'd
• 53:20
  believe me, right? Oh, if you said she was like
• 53:23
  24, 25, yeah, I would believe you. But that's
• 53:26
  like a teen, that's a high school aged Betty
• 53:28
  White. By the way, she was very cute. She was
• 53:31
  adorable. Those eyes, so cute. Oh, she was just,
• 53:35
  I mean, who didn't love Betty White? But I'm
• 53:37
  just using her as an example for the aging process.
• 53:42
  And so she probably was not, as we can see here,
• 53:45
  she was not a late bloomer. No. looked mature.
• 53:50
  So there's science behind that as well. It depends
• 53:52
  if you're a late bloomer, an early bloomer, or
• 53:54
  average bloomer. Yeah, but I guess what I'm trying
• 53:56
  to say is, like, do you end up at the same level
• 54:00
  of T by the time you're 75, regardless of where
• 54:03
  you started? Or is it like a different trajectory?
• 54:06
  No, I don't think so. I think it's every body,
• 54:09
  every man's body is unique. It's its own thing.
• 54:11
  So, I mean, we're coming into the age, Ted, of,
• 54:14
  like, bespoke medicine. You know, like, how How
• 54:18
  doctors treat you and we've come full circle.
• 54:20
  They used to do that. I mean, I watched dr. Quinn
• 54:22
  medicine woman. I know um, they used to treat
• 54:25
  you They used to treat you based on you and your
• 54:29
  symptoms and whatever before medical schools
• 54:32
  really Existed right like per dr. Quinn medicine
• 54:34
  woman. I'm obviously well versed in this um,
• 54:37
  but We're coming around to like bespoke medicine
• 54:40
  where they they will look at your hormonal ranges
• 54:45
  as an individual um line it up against what's
• 54:50
  the norm where you should be uh create a baseline
• 54:53
  for you ted rawl right um that's i think that's
• 54:58
  the right way to look at medicine and i think
• 55:02
  we're moving into that era and i think now because
• 55:06
  it's gonna take men ted no one cares that women
• 55:09
  we're barely learning about Perimenopause and
• 55:12
  menopause now for women but once this stuff hits
• 55:15
  the men the dudes the dudes become aware of it
• 55:18
  This is how you come up with like life -changing
• 55:20
  medicine because it always takes the dudes Although
• 55:24
  we still you know, what we really need is we
• 55:27
  still need a male pill for contraception Actually,
• 55:31
  um, there is one it's in in trials right now
• 55:34
  I know I mean so but they keep saying that and
• 55:37
  then like then you then that's it I think it's
• 55:40
  I think it's it's big um big lady pill lobby
• 55:44
  you think quash I think so I mean I think because
• 55:48
  men would take it I mean I would have oh yeah
• 55:51
  I mean like because you you know like what if
• 55:55
  she's trying to trap you ted well yeah I mean
• 55:58
  seriously that I it's never happened to me but
• 56:01
  it happened it did happen to a friend of mine
• 56:03
  and happen yeah it does no it absolutely happened
• 56:06
  to if I can even tell you exactly how it happened
• 56:08
  was this can? It was not Dan. It was another
• 56:11
  dude. And like, um, what happened was he was
• 56:16
  with his girlfriend. They had barely met. They'd
• 56:18
  only been together for a few months. And I remember
• 56:21
  she and I and her and him had been out to lunch
• 56:23
  at a diner and the subject of abortion came up
• 56:25
  and she said, I would, she was like, declaim,
• 56:28
  I would never have a child. I would a hundred
• 56:31
  percent have an abortion if I ever got pregnant.
• 56:33
  It was like, okay, all right, you do you, right?
• 56:36
  She was vehement. Vehement. Like she was like
• 56:38
  militantly. pro -abortion. And it was like, OK,
• 56:41
  fine. You do you. I would get an abortion just
• 56:43
  for fun. Yeah. Yeah. I'll have an abortion even
• 56:45
  if I'm not pregnant. Fuck you. And so anyway.
• 56:49
  So with that in mind, a couple of months later,
• 56:51
  I get a call from my friend and I'm like, what's
• 56:55
  what's up? And he's like, oh, she's pregnant.
• 56:57
  And I'm like, oh, fuck. You need money for the
• 57:00
  abortion. Right. Because he was broke. And he's
• 57:03
  like, no, no, no, she's going to have it. I go,
• 57:04
  what are you talking about? After all that. So
• 57:06
  I'm like, so he goes, yeah, she said that. like
• 57:10
  she would only have have an abortion if she knew
• 57:13
  she was pregnant within before the end of the
• 57:16
  first month of pregnancy. And I'm like, oh, she
• 57:20
  had a caveat that she didn't. Did you ever take
• 57:23
  biology? Because like nobody knows until they
• 57:26
  miss their period. That's how you find out. Right.
• 57:29
  So I was like, oh, so I was like, how did this
• 57:31
  happen? He said, well, I was at a party at my,
• 57:34
  we were at a party at her mom's house, which
• 57:36
  is hilarious. And we got, we were both in the
• 57:39
  bathroom together and one thing led to the other.
• 57:42
  And she was up on the sink and, uh, and she said,
• 57:46
  just, you know, you don't have to pull out because
• 57:49
  it just feels so good. I go, feels so good. What
• 57:53
  are you 14? Like in, in what are you in porkies
• 57:57
  too? What the fuck is wrong with you? That's,
• 58:00
  I mean, Why would she trap him? He was drunk
• 58:03
  and he you know he was like well so he said so
• 58:07
  he it's a trap because a she said she knew she
• 58:10
  was you know fertile and nevertheless said oh
• 58:13
  You know, don't ignore that and go ahead and
• 58:15
  proceed as though we were using birth control
• 58:17
  and two She lied to him about her stance on abortion
• 58:21
  and said like oh I would definitely get an abortion
• 58:23
  no matter what when actually she would not get
• 58:25
  an abortion under any circumstance I would say
• 58:27
  more more relevant to this. I know plenty of
• 58:30
  boys back home that I grew up with Who and you
• 58:33
  know in college and whatever that? Girls that
• 58:39
  they were dating say they were on the pill. Oh,
• 58:41
  right Well, this is kind of analogous though,
• 58:44
  right surprise Misrepresentation of the situation
• 58:52
  right or whatever So when they do they do have
• 58:55
  the the male pill, it's it's in the works I've
• 58:58
  been meaning to follow up on that like a I think
• 59:00
  it was like a year ago They were trying to like
• 59:02
  these two or three trials. No, it's not it's
• 59:04
  not ready yet But I thought it was fascinating,
• 59:08
  but I think I think it's it's coming and I think
• 59:10
  guys You know, it takes stuff like this for it.
• 59:14
  I hate to say it, but it's true. It has to impact
• 59:17
  men directly first before we see any real substantive
• 59:21
  action. And I think irritable male syndrome,
• 59:25
  as funny as it sounds, is are the symptoms of
• 59:29
  andropause. That is the actual condition. Andropause.
• 59:33
  Look it up. More people need to be diagnosed
• 59:36
  with it so they can correct it. I think I've
• 59:39
  seen Dr. Manila, I'm not really a doctor YouTube.
• 59:44
  Don't don't ding us for this. I'm just kidding.
• 59:46
  I play a doctor on TV Is that I've seen people's
• 59:52
  lives marriages families fall apart because of
• 59:57
  Males who didn't realize what they were going
• 59:59
  through Right. Oh, of course. Yeah, and um some
• 1:00:03
  that did could correct it and it's I've seen
• 1:00:08
  it save marriages save relationships save whole
• 1:00:11
  family. Yeah knowing what's up really matter
• 1:00:14
  Because it changes your brain and it changes
• 1:00:18
  literally your behavior To your entire family
• 1:00:22
  in an environment around you So it is this is
• 1:00:24
  actually, you know It's a funny story because
• 1:00:26
  you think of grumpy old men you think of you
• 1:00:28
  know, the Walter Matthew Mathows and and Bernie
• 1:00:31
  Sanders or whatever funny movie by the way It's
• 1:00:35
  all I miss those old guys All those old actors.
• 1:00:38
  And speaking of which, another not so grumpy
• 1:00:41
  old man, RIP to Dennis Haskins, the beloved principal
• 1:00:48
  of Saved by the Bell. He died last night, age
• 1:00:52
  75. He was Mr. Belding. And quick story about
• 1:00:57
  that old man. He was not a grumpy old man. When
• 1:01:00
  I worked at Clear Channel way back in the day,
• 1:01:03
  some 20 years ago or whatever, 20 some odd years
• 1:01:06
  ago, over in Burbank, across the street, I forget
• 1:01:10
  the name of the bar. I think it was like something
• 1:01:12
  like Bubbles or something with a B. We used to
• 1:01:15
  go across the street to this dive bar. They always
• 1:01:17
  had karaoke. And who would I encounter there
• 1:01:22
  every time I went to this dive bar across the
• 1:01:25
  street? Mr. Belding, AKA Dennis Haskins. Nice
• 1:01:32
  dude Was always there was he was the norm of
• 1:01:37
  that cheers, right? It's like Dennis and he was
• 1:01:41
  always karaoke -ing and always jolly and I'm
• 1:01:44
  sad to hear that. He passed away last night Don't
• 1:01:46
  know what the cause of death was but I'm not
• 1:01:49
  gonna say he was my buddy or my friend But he
• 1:01:51
  was friendly with me because we would see him
• 1:01:53
  all the time We were somewhat regulars because
• 1:01:55
  I worked across the street We used to go to the
• 1:01:58
  bar. So Hats off R .I .P. Mr. Belding. What a
• 1:02:03
  nice man. 75 years old. So there you go. All
• 1:02:11
  right. Oh, this one, Ted, this one. Geez, we
• 1:02:14
  got to hurry it up because we're way over time.
• 1:02:17
  So Draft Kings is accused of using A .I. to find.
• 1:02:21
  gamblers that are most likely to lose. So the
• 1:02:25
  house has always had an edge, as we know. Now,
• 1:02:28
  apparently, it may also have an algorithm. A
• 1:02:31
  New York Times investigation found that DraftKings
• 1:02:34
  used AI to identify customers most likely to
• 1:02:38
  respond to promotions by gambling more and losing
• 1:02:42
  more. Crazy. Super sad. The system analyzed dozens
• 1:02:48
  of details. including how often customers played,
• 1:02:52
  their account balances, typical losses, and the
• 1:02:54
  likelihood they might stop gambling. Each player
• 1:02:56
  received a score estimating how profitable another
• 1:03:00
  free bet or bonus might be. In plain English,
• 1:03:04
  that translates to, if handing you $10 could
• 1:03:08
  entice you to lose 100 bucks, congratulations,
• 1:03:11
  the computer may have considered you an excellent
• 1:03:14
  investment. Former DraftKings analyst, Jaden
• 1:03:17
  Butz, That's his name, Jaden Butts. Nice. Helped
• 1:03:21
  test the system on thousands of casino customers
• 1:03:24
  beginning in 2023. He said the company wanted
• 1:03:28
  to redirect promotions towards players likely
• 1:03:31
  to generate the biggest returns. That raises
• 1:03:34
  an obvious concern. The most profitable customer
• 1:03:37
  might also be the customer least able to stop.
• 1:03:41
  Draft Kings rejects that characterization. The
• 1:03:44
  company says Its promotions target sustained,
• 1:03:48
  engaged users, not customers chosen because of
• 1:03:51
  their losses. The numbers reveal enormous stakes.
• 1:03:55
  DraftKings reportedly generated about $8 .7 billion
• 1:03:59
  in gross gambling revenue last year while distributing
• 1:04:03
  just roughly $3 billion in promotions. Its customer
• 1:04:07
  base has grown to $11 million, more than double
• 1:04:11
  its base from 2022. One Pennsylvania gambler
• 1:04:15
  told the Times that he lost nearly $70 ,000 online,
• 1:04:20
  more than half on DraftKings. While beginning
• 1:04:23
  addiction therapy, he received 40 DraftKings
• 1:04:27
  promotions in just two weeks. His inbox had effectively
• 1:04:31
  become a casino floor that followed him home.
• 1:04:34
  Here's the part that may leave critics reaching
• 1:04:37
  for the antacid. Former employees say DraftKings
• 1:04:42
  developed then shelved machine learning projects
• 1:04:46
  that could predict which customers were drifting
• 1:04:49
  toward gambling addiction. So get that straight.
• 1:04:53
  Draft Kings was working on on a machine learning
• 1:04:58
  tool, an AI tool that could model out and predict
• 1:05:02
  which customers were the highest at risk for
• 1:05:06
  addiction. And they put the kibosh on it because
• 1:05:12
  it's so what would they so they could have reached
• 1:05:14
  out and warned them and said or cut them off.
• 1:05:17
  But they put the kibosh on it because obviously
• 1:05:19
  Ted, it's antithetical to their business model.
• 1:05:21
  Take all your money. That's the business model.
• 1:05:24
  Draft King says those predictive systems lacked
• 1:05:27
  sufficient evidence. The company instead monitors
• 1:05:30
  more than two dozen warning signs and can send
• 1:05:33
  educational materials, question customers or
• 1:05:36
  close their accounts. It also uses language models
• 1:05:39
  to scan customer service communications for signs
• 1:05:41
  of distress. But That system depends heavily
• 1:05:44
  on troubled gamblers revealing themselves. So
• 1:05:47
  the same industry that can calculate whether
• 1:05:49
  a quote profit boost will keep you betting apparently
• 1:05:52
  remains far less certain about using similar
• 1:05:54
  technology to tell you when to stop. The algorithm
• 1:05:57
  knows when you are profitable, whether it knows
• 1:05:59
  when you are in trouble is another bet entirely.
• 1:06:02
  So here's some horrible facts and figures, Ted.
• 1:06:05
  U .S. bankruptcy filings have rose about 12 %
• 1:06:09
  during the year ending March 31, 2026, reaching
• 1:06:12
  just about 600 ,000 cases. Personal filings rose
• 1:06:16
  to over half a million. Well, closer to 600 ,000
• 1:06:20
  from half a million. Filings have increased every
• 1:06:23
  quarter since 2022. People's credit scores. A
• 1:06:29
  study conducted over 7 million consumers found
• 1:06:34
  that online sports betting increased bankruptcy
• 1:06:36
  filings by about 10 % after a two -year lag and
• 1:06:40
  This is what people are reporting like they're
• 1:06:43
  saying it After online betting became available
• 1:06:47
  average credit scores fell about three points
• 1:06:50
  That's almost three times the decline associated
• 1:06:53
  with general access to regular old gambling online
• 1:06:59
  Betting was also associated with nearly an eight
• 1:07:01
  percent increase of accounts sent to collections
• 1:07:06
  Okay, that's because you're less likely to pay
• 1:07:09
  off your your actual bills and the list goes
• 1:07:12
  on and on and on about the personal impacts to
• 1:07:18
  just people broadly not even not even you know,
• 1:07:22
  just Draft Kings. It's not just Draft Kings.
• 1:07:25
  It's Polymarket. It's Kalshi. It's a whole generation
• 1:07:28
  of people going broke. Ted, they're using credit
• 1:07:31
  cards to bet on Polymarket, to bet on Kalshi,
• 1:07:35
  to bet on whatever. We're talking like these
• 1:07:38
  Gen Z men, young men. They are losing their shirts.
• 1:07:45
  Manila, I don't even understand why this is legal.
• 1:07:48
  And I know you guys can make fun of me because
• 1:07:50
  like Ted wants to ban cigarettes. Ted wants to
• 1:07:53
  ban football. Okay, well Ted wants to ban this
• 1:07:56
  too. This is bad. It doesn't serve it. Look,
• 1:08:00
  I don't see how it benefits society at all. If
• 1:08:03
  anything, the miracle to me, in the same way
• 1:08:05
  that it's a miracle that there are smokers who
• 1:08:08
  make it to be 90, it's a miracle that there's
• 1:08:11
  anyone who does this who doesn't end up losing
• 1:08:15
  everything to gambling, right? Like, it's amazing
• 1:08:18
  to me that there are people who can somehow manage
• 1:08:21
  it. It's amazing to me. I think it's I mean it's
• 1:08:26
  a fucking evil business at least look gambling
• 1:08:30
  casinos should be illegal too for the same reason
• 1:08:32
  but at least there there's the friction of geography
• 1:08:36
  you have to get into your car and you have to
• 1:08:38
  go to a place where there is a casino so unless
• 1:08:41
  you live like in vegas next door to one it's
• 1:08:44
  like basically a lot of effort is involved and
• 1:08:47
  you can blow up through your family budget but
• 1:08:50
  Presumably at some point you have to go home
• 1:08:52
  and start earning money again before you can
• 1:08:55
  blow it all so at least that helps but like This
• 1:08:59
  is like it's it's on your laptop or in your phone.
• 1:09:03
  It's with you everywhere It's in your pocket.
• 1:09:06
  I mean, how could most people I don't know I
• 1:09:09
  mean, I don't have the most addictive personality
• 1:09:11
  But I think I would get addicted to this if I
• 1:09:14
  tried it or there's a strong chance I would so
• 1:09:17
  I don't try it You know, I mean, it's it's just
• 1:09:21
  so and like, of course, obviously, look, I don't
• 1:09:23
  even blame them for coming for like, you know,
• 1:09:27
  continuing their business model. Like, oh, let's
• 1:09:29
  you know, let's not develop the thing that would
• 1:09:31
  get rid of our best customers. In other words,
• 1:09:34
  our gambling addicts. Let's not, you know, let's
• 1:09:37
  let's not try to stop them from succumb from
• 1:09:40
  ruining every their lives. I get it. I mean,
• 1:09:42
  and like, oh, and let's try to make it as efficient
• 1:09:45
  as possible to find the best suckers. Sure, I
• 1:09:48
  get that too. It's not even really their fault.
• 1:09:51
  This is a government issue. The government should
• 1:09:53
  not permit this shit to be legal. It's insane.
• 1:09:58
  It's ruining lives. I mean, this is I mean, I'm
• 1:10:02
  not big on prohibitions of anything, but the
• 1:10:06
  Trump administration has loosened. Obviously,
• 1:10:10
  it's coming. You know, it's it's happened. It
• 1:10:12
  happened under Biden first. True. First. Biden
• 1:10:16
  didn't do anything about it either. No, and it's
• 1:10:19
  not a specifically Trump thing. And you would
• 1:10:21
  think Donald Trump, who himself doesn't drink
• 1:10:24
  alcohol and doesn't gamble, right? You would
• 1:10:27
  think he would be the one to not allow it to
• 1:10:30
  disallow it. But there he's certainly not reigning
• 1:10:33
  it in. He's in with the tech bros. And the tech
• 1:10:35
  bros are who own all of these betting markets.
• 1:10:39
  Right. Y 'all are missing something. Miriam Adelson
• 1:10:42
  was married to who? Sheldon Adelson. How did
• 1:10:46
  Sheldon Adelson make his money? Vegas, baby.
• 1:10:51
  And Miriam Adelson is involved with online gambling.
• 1:10:54
  Now Ben Shapiro. Yeah. And Ben Shapiro is now
• 1:10:57
  pipping out cow sheet on his daily wire show.
• 1:11:00
  He's a partner with them. Oh, all roads lead
• 1:11:04
  back to Israel. Oh, they are enriching themselves
• 1:11:10
  of the desperation and misery of the American
• 1:11:12
  people. This is yeah, this is something I can
• 1:11:16
  get on board with with like a prohibition I mean
• 1:11:19
  the the studies show the numbers look we're not
• 1:11:23
  We can't diagnose. We're not economists. We can't
• 1:11:26
  pinpoint Ted and I that is and Robbie we can't
• 1:11:30
  pinpoint exactly that it's oh, it's all of these
• 1:11:32
  online gaming whatever platforms these calcium
• 1:11:35
  these polymarkets or draft Kings or whatever,
• 1:11:38
  but people that Had a gambling problem in the
• 1:11:44
  old days like Ted said, they really wanted to
• 1:11:48
  be there. Like they had to get in a car, drive
• 1:11:51
  to the place, like plan out, you know, skip eating
• 1:11:53
  food, skip whatever. They had to make a concerted
• 1:11:56
  effort to go gamble and waste their money away.
• 1:11:59
  Yeah. So it greatly limited how many people would
• 1:12:04
  be at risk of doing that, because a lot of people
• 1:12:06
  don't live close to like in California, like
• 1:12:08
  Indian gaming. Right. Like you had to go to the
• 1:12:10
  res, like way out in the desert in California.
• 1:12:14
  But now you're starting to find different types
• 1:12:17
  of casino joints that are all in every state,
• 1:12:21
  Ted. Everyone's loosening the reins and allowing
• 1:12:24
  this to happen. I don't know how everyone's in
• 1:12:30
  on it, but you are creating a devastating future
• 1:12:34
  for Gen Z and younger because you have normalized
• 1:12:37
  doing this as an everyday engagement on your
• 1:12:41
  phone, right? and what's gonna happen to, Ted,
• 1:12:46
  your son, I use him as an example because he
• 1:12:49
  is Gen Z, what's gonna happen before they're
• 1:12:52
  indebted up to their eyeballs with college debt
• 1:12:55
  and then they're gonna pick up new debt because
• 1:12:57
  they picked up a gambling habit, a nasty gambling
• 1:13:01
  habit? Forget even being able to afford buying
• 1:13:05
  groceries. Forget the house, forget the home.
• 1:13:11
  I feel like you're creating a generation of people
• 1:13:14
  that are gonna be homeless, just carpet bagging
• 1:13:21
  from town to town to town to find wherever they
• 1:13:23
  can scrape by and survive. And this is not how
• 1:13:27
  we need to groom a generation of doers and makers,
• 1:13:33
  like they claim they're building, right? We don't
• 1:13:36
  have that. We're killing Gen Z. We're killing
• 1:13:40
  Gen Z, the one generation I was having hope for.
• 1:13:43
  It's really not cool. And that's not to say it's
• 1:13:46
  only Gen Z, by the way. It's no grown ass. My
• 1:13:50
  my in -laws, you know, they were they were Taiwanese
• 1:13:52
  and Asian people love to gamble. And I don't
• 1:13:56
  even know how. What do you mean? They don't know
• 1:13:58
  how to. Oh, you don't know how to gamble. I don't
• 1:14:00
  know how to play anything. My parents never allowed
• 1:14:02
  me. Well, that's good. But you know, it's a big
• 1:14:04
  problem in the Chinese. I have no interest. Yeah.
• 1:14:06
  Yeah. I have no interest, though. It's just not
• 1:14:08
  my thing. Yeah, me neither. I find it. I'm actually
• 1:14:11
  pretty good at it, but I also find it boring.
• 1:14:14
  So, yeah. But the point is that it's like, I
• 1:14:18
  saw them, you know, they literally blew through
• 1:14:21
  millions of dollars. Millions. You know, and
• 1:14:26
  they... Your ex -in -laws? Uh -huh. Yeah. So
• 1:14:31
  depressing. Well... That's just it. So now you're
• 1:14:37
  giving this accessibility. And so I hope there's
• 1:14:40
  some government intervention there. This is not
• 1:14:43
  a way to start a generation of people. Because
• 1:14:48
  that's who's most at risk, Ted, is the young
• 1:14:50
  people, like the apps. Older generations still
• 1:14:53
  tend to like the kinetic physical feel of having
• 1:14:56
  to roll the dice out of their hands, or the sound
• 1:14:59
  of roulette tables, or cards slapping the table.
• 1:15:03
  It's the younger generation. that are sitting
• 1:15:05
  at bars, hanging out with their friends, casually,
• 1:15:08
  you know, watching the game and betting on something
• 1:15:12
  on Polymarket or Kalshi or whatever. And you're
• 1:15:15
  even finding it here in Washington, D .C. George
• 1:15:19
  Santos betting on whether or not he's going to
• 1:15:21
  show up to a congressional vote. Yeah, yeah.
• 1:15:27
  So I mean, something like that. Like, so there
• 1:15:30
  you go. So now you guys know. And last but certainly
• 1:15:37
  not least, having huge boobies may mean carrying
• 1:15:40
  more than your fair share of attention. New research
• 1:15:44
  says it can also come with headaches, sleep problems,
• 1:15:47
  and a serious pain in the neck. Researchers looked
• 1:15:49
  at the medical records of 687 women treated at
• 1:15:53
  headache and neurology clinics. They focused
• 1:15:55
  on macromastia, a condition in which breast tissue
• 1:15:58
  is disproportionately large compared with the
• 1:16:01
  woman's body frame. There's no official cup size
• 1:16:03
  that qualifies. Women with macromastia were twice
• 1:16:08
  as likely to experience neck pain, of course,
• 1:16:12
  and more than twice as likely to develop cervical
• 1:16:15
  radiculopathy, commonly called a pinch - Radiculopathy.
• 1:16:21
  Radiculopathy. The burden may also travel north.
• 1:16:25
  Women with that condition were 40 % likelier
• 1:16:28
  to suffer from migraines. And the problem did
• 1:16:32
  not stop at bedtime. These women were also 50
• 1:16:36
  % likelier to have obstructive sleep apnea. And
• 1:16:42
  we don't really know how breast size could contribute
• 1:16:45
  to migraines. That part, I don't know, but sleep
• 1:16:48
  apnea, it's obvious. You have a heavy thing sitting
• 1:16:51
  on your chest while you're trying to fucking
• 1:16:53
  breathe at night. The study also found an association
• 1:16:58
  that not proof that large breasts cause these
• 1:17:02
  conditions. Every participant was already seen
• 1:17:05
  at a headache or neurology clinic, therefore...
• 1:17:08
  these findings may not represent all ladies.
• 1:17:11
  Many women pursue breast reduction surgery to
• 1:17:15
  relieve the physical strain. Interestingly, neck
• 1:17:19
  pain was the only condition in the study associated
• 1:17:22
  with a greater likelihood of selecting surgery.
• 1:17:25
  Also back pain, I would say. An even more extreme
• 1:17:28
  condition, gigantomastia costs excessive breast
• 1:17:34
  growth and is exceptionally rare, with only about
• 1:17:38
  300 documented cases worldwide. Severe cases
• 1:17:41
  may require surgery or even a mastectomy. So
• 1:17:48
  yeah, yeah, this is I know a couple of women
• 1:17:50
  a couple of women of my girlfriends cuz this
• 1:17:53
  isn't this is like It's not just about big boobs
• 1:17:57
  because there are some there are large framed
• 1:17:59
  women large women that can carry big boobs. This
• 1:18:02
  is talking about somebody's frame Disproportionate
• 1:18:06
  to the size of their boobs. Yeah little lady
• 1:18:09
  big boobs I have a couple couple girlfriends
• 1:18:12
  who have tiny frames like my size frame or even
• 1:18:16
  thinner even smaller with just they had disproportionately
• 1:18:22
  gigantic boobs like Did they have them for reduced
• 1:18:27
  and they did because they literally were always
• 1:18:31
  in physical pain Like they had permanent strap
• 1:18:34
  lines from their bras like trying to hold up
• 1:18:36
  these boulders, right? I believe for their tiny
• 1:18:38
  little bodies They had a permanent indentation
• 1:18:41
  in their bones like it was like pressing down
• 1:18:44
  like their muscle and ligaments and up here appear
• 1:18:47
  were like permanently indented they had they
• 1:18:50
  constantly had headaches and neck pain and The
• 1:18:55
  breathing they felt they realized later. They
• 1:18:57
  didn't realize that they weren't breathing at
• 1:18:59
  night Until after the surgery and they realized
• 1:19:03
  they were sleeping much better. They thought
• 1:19:05
  oh my sinuses have opened or something They didn't
• 1:19:08
  oh Jesus apparently was this I have a girlfriend
• 1:19:10
  who recently did it they removed she She wishes
• 1:19:15
  that they took off more, but she took off two
• 1:19:18
  pounds off her chest, Ted. Two pounds off a 110
• 1:19:23
  pound woman. That's a lot to take off a woman's
• 1:19:28
  chest when she's laying down to sleep or move
• 1:19:31
  around, just move. Yeah, for sure. It presses
• 1:19:36
  on other nerves in your neck. There's just a
• 1:19:41
  world of... pain for these women and it's ironic
• 1:19:48
  that you know we live in a world of plastic surgery
• 1:19:52
  where women are choosing to fake macromastia
• 1:19:57
  right like to have the porn star look to be 110
• 1:20:01
  or 120 pounds and have you know double D boobs
• 1:20:05
  there are real consequences and then people are
• 1:20:09
  not You know a lot of men out there are like,
• 1:20:11
  yeah, let's let's see the skinny chicks with
• 1:20:13
  giant boobs But yeah bigger. It's not always
• 1:20:16
  better. Yeah, no like look at this like sleep
• 1:20:20
  apnea like I didn't I wouldn't have thought that
• 1:20:23
  but it makes sense because Natural breast tissue
• 1:20:26
  shifts right like when you lay down it kind of
• 1:20:28
  shifts and it would press up against your your
• 1:20:31
  your trach right like the weight Yeah, make sense
• 1:20:35
  natural boobs natural boobs. We're talking about
• 1:20:37
  the natural so So there you go, I don't know
• 1:20:41
  how many women out there are natural anymore
• 1:20:43
  these days dead But but for those women that
• 1:20:49
  it impacts Yeah, there you go now, you know,
• 1:20:54
  there's There's a downside to being skinny with
• 1:20:57
  big boobs. Oh for sure. No question real downside
• 1:21:01
  so, you know again, I applaud my girlfriends
• 1:21:06
  for going that route and I was like I was on
• 1:21:11
  the opposite end of the spectrum, Ted. Well,
• 1:21:13
  you guys all know. I mean, everyone's seen me
• 1:21:14
  on TV for 10, 12 years. I never had that problem.
• 1:21:20
  So I always envied the women with fuller busts.
• 1:21:25
  Like, oh, I wish I could look like that. And
• 1:21:27
  I mean, every expensive bra I could find to lift
• 1:21:31
  whatever girls I had. But now, like Ted said,
• 1:21:34
  I missed my chance to have add -on micromastia.
• 1:21:40
  Or macro macro Mastia. But I can I can get new
• 1:21:44
  ones. Well, would you want to? I don't know.
• 1:21:48
  I think it's always best to look proportional.
• 1:21:51
  Honestly, I look proportional. I just wanted
• 1:21:54
  replacements, Ted. I just wanted to look like
• 1:21:57
  the way it did before. Yeah, I just wanted to
• 1:22:01
  to look like me anatomically normal. I didn't
• 1:22:04
  want to be like, you know. uber enhanced because
• 1:22:09
  I know a lot of women that did have The the mastectomy
• 1:22:13
  and and went a little extra Sure You know what
• 1:22:18
  I'm saying? So I didn't I never asked Yeah, if
• 1:22:22
  they felt any pain or breathing now, I think
• 1:22:26
  I'm it's this article prompts me to wanting to
• 1:22:29
  ask those people if they do feel these other
• 1:22:34
  health side effects of My macro macro macro mass.
• 1:22:38
  Yeah, there you go. So that'd be it. That'd be
• 1:22:41
  that'd be the show for Tuesday Wow, September
• 1:22:46
  29th. We're at the end of next show. We're gonna
• 1:22:49
  be in October Yep, and I will be doing the deep
• 1:22:54
  program rumble Exclusive here later on today.
• 1:22:59
  So we've closed that last metric that we need
• 1:23:00
  for rumble. So that will be happening There you
• 1:23:04
  go. Thank you guys for tuning in stick around
• 1:23:07
  go find deep program Later what at 12 10? What
• 1:23:11
  do you what time is that? Oh, no, no, no, we're
• 1:23:14
  No deep program deep program is is only is a
• 1:23:18
  9 to 11 Monday Wednesday Friday we do the Q &A
• 1:23:21
  just as part of it and We do Tuesday Thursday
• 1:23:25
  as before 9 to 10. Ah Okay, gotcha. Gotcha. Gotcha.
• 1:23:32
  So sit tight. We'll be back on Thursday. We make
• 1:23:36
  Thursday fun Thursday too now because it sends
• 1:23:38
  you off into the weekend since we're Tuesday,
• 1:23:40
  Thursday for the foreseeable future. But there
• 1:23:43
  you go. Thank you guys for tuning in. We love
• 1:23:45
  you. Thank you for sticking around. Robbie's
• 1:23:47
  going to have all of these segments individually
• 1:23:49
  cut. So please, if you're watching on YouTube,
• 1:23:51
  the best way to help us is to share the content
• 1:23:55
  because it tells the YouTube algorithm that this
• 1:23:59
  show is there and that It will reveal us to new
• 1:24:03
  viewers. And that's how we grow our reach on
• 1:24:06
  YouTube. So we're still navigating the YouTube
• 1:24:08
  space. But please help us that way. It doesn't
• 1:24:12
  cost you anything. Just share the clipped comment
• 1:24:15
  or content, rather, that Robbie cuts. It'll be
• 1:24:17
  out later today. So adios, amigos. Thank you.
• 1:24:21
  Bye bye.