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embrace yourself because you're about to

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dive into another free first hour

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episode of the higher side chats and we

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just want to let you know that whether

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you're looking for a companion through

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your paranoid insomnia entertaining

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yourself through one of life's mundane

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activities or trying to ward off the

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internal scream to all those sad

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smothered Souls around the office THC is

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here and you should know that every

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become a plus member and treat yourself

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in these troubled times always

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action-packed and commercial for you

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which means you'll unfortunately never

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[Music]

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the planets popping masters on my shirt

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have a plan who's clearly maybe

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something there beyond the realm of man

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till we've thoroughly tested every last

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close just did you find the more you

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where will we be

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we know the lying to us just don't know

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what to green where would we be without

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this

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a car wouldn't come alright higher side

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Cheddar's I think it's safe to say our

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general feelings and relationship with

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the medical establishment are

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contentious at best and despite the

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standard response of trusting the

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experts and authorities to have our best

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interests at heart we wonder how can you

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not look at this system with the

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skeptical eye when you consider the

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amounts of money involved the revolving

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door of regulatory capture between Big

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Pharma and those agencies created to

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police the industry and the simple fact

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that just a few generations ago doctors

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were willing to recommend their favorite

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brand of cigarettes for the right price

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and while we know marketing is often

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deceptive and dishonest when it comes to

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the life and death seriousness of

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medical matters we sometimes let our

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guards down because who would be

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heartless enough to take the money when

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the stakes are this high sadly the

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answer is many many people and I'm sure

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some of you listening now have heard the

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herald angels sing the chorus line

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urging young ladies to be one less by

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getting a tried-and-true HPV vaccine to

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protect yourself from the ever-growing

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risk of cervical cancer well folks it

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seems like Merck and quack so SmithKline

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the companies that manufacture HPV

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vaccines such as Gardasil have ydu and

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have caused damage death and heartbreak

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all around the world and only because of

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brave people willing to push back

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against the blind faith prerogative like

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today's two guests Kim Mac Rosenberg and

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Eileen I Oreo do we even have the facts

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and data we need to confidently say no

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because Kim and Eileen are two of the

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three authors along with Mary Holland of

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the NYU School of Law behind the great

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new book called the HPV vaccine on trial

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seeking justice for a generation

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betrayed at over 350 pages it tells the

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full story of the HPV vaccine with over

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another hundred pages of meticulously

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crafted sources and endnotes that

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combined make a pretty ironclad case

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that even the most trusting people can't

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deny

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I for one I'm definitely excited to get

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into it two passionate advocates for

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truth Mary and Kim welcome to the higher

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side thank you so much for having us

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Gregg we appreciate the time to share

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information about the book Thank You reg

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thank you of course it is my pleasure I

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am so glad you ladies are here on behalf

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of everyone thanks for not only talking

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to me today but for putting this book

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together I think a lot of us realized

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that a big portion of the population is

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in denial about this sort of thing and

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it doesn't help to hand them a book

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called the vaccine conspiracy with

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crying babies and a skull and crossbones

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on the cover you know those books exist

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but your book the HPV vaccine on trial

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is incredibly professional and well put

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together and you should both be really

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proud and to kick this off you say in

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the intro we bring legal and financial

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backgrounds to the task while we are not

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doctors or scientists we believe that

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our perspective is critical to the

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debate and I hoped we could start by

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elaborating on that obviously expertise

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is important can you talk to us about

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your credentials and how you three

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ladies came together to tackle this just

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for when my open-minded audience tries

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to share this with their less

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open-minded friends and family sure this

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is Eileen I come to it from a

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perspective I have three children two

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girls and a boy

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initially it was on the basis of

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opposing really mandating this vaccine

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in New York where we live and whatever

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your stance in vaccines I believe that

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it shouldn't be mandated this is a

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vaccine against a sexually transmitted

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infection and I felt that mandating this

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for school entry was egregious at best

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and I came to it from that perspective

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years ago my son was injured by vaccines

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and hospitalized and thankfully he

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pulled through so I was already looking

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into this issue and blogging about it

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and you know this is a new vaccine and

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there's a lot of information and a lot

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of controversy so naturally I Lent

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towards investigating this and writing a

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blog on it for the thing

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Kingman's revolution and then got

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involved in meeting legislators in New

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York to oppose this particular vaccine

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mandate which comes up every year which

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led me to meeting Kim and Mary but

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essentially this is about risk awareness

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informed consent and as the title of the

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book suggests HPV vaccine on trial this

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vaccine is very much on child throughout

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the world both in the courts of law

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which Kim can talk about and in the

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course of public opinion so I felt it

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was important to get to the bottom of

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this figure out was it safe to the

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trials show that it was safe and like I

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said because it's new in my opinion the

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jury's still out so this is Kim I came

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to it both from a legal perspective and

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the perspective of a parent I have an 18

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year old son who is vaccine injured as

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well but as a lawyer I have been

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practicing for many years and my

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practice has focused on insurance

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related issues and products liability

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issues and as a products liability

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litigator I've done a great deal of work

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directly with experts such as

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epidemiologists MDS and PhDs in various

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specialties in addressing the

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connections between injuries and

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exposures so I have a lot of background

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in that and have learned to critically

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read for example peer-reviewed studies

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and meta analyses and things like that

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as Eileen said you know we were very

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concerned about the idea of mandating

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the HPV vaccine in New York State and

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elsewhere where your mandates have been

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tried and in some cases in a few states

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actually it is mandated it's a very

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controversial vaccine and as we dug into

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it what we found was the evidence that

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we present in our book is there in

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sources from the US government the

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European Medicines Agency you know CDC

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FDA aesop all the alphabet soup of

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governmental agencies w-h-o so a lot of

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what we rely on and we want readers or

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curious people to know this is

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information directly from those sources

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we go beyond those sources but we bring

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you the information that

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out there from them that people don't

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know about and it's really important

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that people learn this because just

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reading a package insert or reading a

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vaccine information statement or even

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talking to your doctor who hasn't seen

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all this information in all likelihood

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is not going to give you a complete

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picture and allow you to make a truly

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informed decision that's right for you

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or your family

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right and just to add quicky Greg the

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book has been endorsed by dr. Luke

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montagnier who is a world-renowned

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biologist and Nobel Prize winner for his

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discovery of the AIDS virus and many

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doctors have reviewed the book for its

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content we are not doctors and the book

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doesn't contain medical advice it's more

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of an investigative journalist ik look

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at this vaccine and the scandal

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throughout the world it's heavily cited

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and to date we have not had any

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professional or alphabet-soup

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agency raised any issues with our book

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and no Corrections have been asked to be

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made this is very well researched it has

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taken a long time to put together yes it

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is so impressive and that's definitely

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worth pointing out it's also got tons of

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endorsements and praise right there in

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the first few pages as well as the

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doctors you talked to and the studies

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you pulled out along the way

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and the book is broken down into four

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parts part one looks at the testing and

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the clinical trials part two looks at

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what happened when the vaccine hit the

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market part three is a deeper dive into

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the latest research on aluminum

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containing adjuvant and other

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ingredients of concern and part four

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looks at the International implication

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so it's really methodical but let's get

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deeper into the clinical trials because

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what you lay out is pretty shocking and

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I think this is where we can get a lot

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of people who assume something so

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important would have super strict and

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honest testing because that is not the

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case what did you find when you looked

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into these trials that was most shocking

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Eileen maybe you can tell us what she

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saw I think what most people find most

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shocking not us because we've researched

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many vaccines but what most people find

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shocking is that the placebo and the

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clinical trials was not saline or inert

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it was in fact the exact same adjuvant

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as is found in the vaccine an image

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event is an immune stimulating and

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immune priming ingredients that enables

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the vaccine to work so without the

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adjuvant in this case a novel

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proprietary adjuvant belonging to Merck

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that nobody has ever studied

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independently so initially that's what

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people find shocking how can you

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clinical trial without a saline or inert

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control where is your safety data coming

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from there isn't any and in fact

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throughout the entire clinical trial

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process over many years and many trials

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there was no inert control even the one

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small clinical trial involving the

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youngest children the target market of

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nine to fifteen year olds the FDA

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claimed that that was a saving child

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whereas in fact it was not it didn't

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have the aluminum adjuvant but it did

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have other non inert substances like

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borax al histidine and polysorbate 80

278
00:11:42,600 --> 00:11:40,300
all ingredients which have never been

279
00:11:44,550 --> 00:11:42,610
really tested independently to be

280
00:11:47,340 --> 00:11:44,560
injected into children but the most

281
00:11:49,800 --> 00:11:47,350
shocking thing we found was that aside

282
00:11:52,710 --> 00:11:49,810
from the lack of informed consent issues

283
00:11:55,230 --> 00:11:52,720
that we do raise that small trial I just

284
00:11:56,910 --> 00:11:55,240
mentioned with the youngest children the

285
00:11:59,490 --> 00:11:56,920
clinical trial they were involved with

286
00:12:01,980 --> 00:11:59,500
that they participated in in the vaccine

287
00:12:04,500 --> 00:12:01,990
arm they were given half the amount of

288
00:12:06,510 --> 00:12:04,510
this aluminum adjuvant that was

289
00:12:08,880 --> 00:12:06,520
eventually in the formulation of the

290
00:12:11,580 --> 00:12:08,890
vaccine that went to market so in other

291
00:12:13,530 --> 00:12:11,590
words the children that were used in the

292
00:12:15,120 --> 00:12:13,540
clinical trial to convince the FDA that

293
00:12:17,820 --> 00:12:15,130
it was safe for young children and

294
00:12:20,730 --> 00:12:17,830
effective only got half the dose of this

295
00:12:22,140 --> 00:12:20,740
immune stimulating adjuvant of what's on

296
00:12:24,630 --> 00:12:22,150
the markets that children are getting

297
00:12:26,940 --> 00:12:24,640
today so not only was it not tested

298
00:12:29,340 --> 00:12:26,950
against it saying in placebo the vaccine

299
00:12:31,080 --> 00:12:29,350
was never tested at all and this has an

300
00:12:33,000 --> 00:12:31,090
implication for safety because we know

301
00:12:34,980 --> 00:12:33,010
and you can see in part three of the

302
00:12:37,710 --> 00:12:34,990
book where we talk about the adjuvant

303
00:12:40,230 --> 00:12:37,720
that this has an implication for safety

304
00:12:42,750 --> 00:12:40,240
that the aluminum adjuvant does cause

305
00:12:44,250 --> 00:12:42,760
side effects it is implicated in many

306
00:12:46,640 --> 00:12:44,260
autoimmune conditions throughout the

307
00:12:49,320 --> 00:12:46,650
world allergies and many other

308
00:12:51,630 --> 00:12:49,330
neurological disorders so this is far

309
00:12:54,090 --> 00:12:51,640
from a clinical trial that we consider

310
00:12:58,050 --> 00:12:54,100
to be robust for safety purposes and

311
00:13:00,840 --> 00:12:58,060
just to follow up on what Eileen said we

312
00:13:03,630 --> 00:13:00,850
discovered this anomaly in the dosing of

313
00:13:04,860 --> 00:13:03,640
aluminum in the youngest children test

314
00:13:06,690 --> 00:13:04,870
group

315
00:13:09,120 --> 00:13:06,700
it's in the FDA's clinical review

316
00:13:12,720 --> 00:13:09,130
documents and the table in the FDA's

317
00:13:15,480 --> 00:13:12,730
documents is actually sort of a cut and

318
00:13:17,220 --> 00:13:15,490
paste and insert from a Merck document

319
00:13:19,410 --> 00:13:17,230
so this is information directly from

320
00:13:21,150 --> 00:13:19,420
Merck it hasn't been transposed any of

321
00:13:24,750 --> 00:13:21,160
number of times or lost in translation

322
00:13:26,430 --> 00:13:24,760
it smirks own data and they have not

323
00:13:30,000 --> 00:13:26,440
come forward and said that that data is

324
00:13:32,160 --> 00:13:30,010
incorrect and the FDA are currently

325
00:13:34,680 --> 00:13:32,170
looking at it Gregg so we have raised

326
00:13:37,110 --> 00:13:34,690
these issues I did mention the lack of

327
00:13:39,240 --> 00:13:37,120
informed consent in the opening chapter

328
00:13:41,850 --> 00:13:39,250
you might remember that we tell the

329
00:13:43,530 --> 00:13:41,860
story of two young girls from Denmark

330
00:13:45,810 --> 00:13:43,540
who were involved in the clinical trials

331
00:13:49,620 --> 00:13:45,820
one was in the vaccine arm and the other

332
00:13:51,660 --> 00:13:49,630
was in the placebo arm or the facio arm

333
00:13:53,730 --> 00:13:51,670
as we call it because it was a very

334
00:13:55,380 --> 00:13:53,740
similar substance and that mirrored the

335
00:13:58,200 --> 00:13:55,390
clinical trials really and they both

336
00:14:00,420 --> 00:13:58,210
became ill which is what the clinical

337
00:14:02,670 --> 00:14:00,430
trials did actually discover that there

338
00:14:05,220 --> 00:14:02,680
was the same rate of harm in each group

339
00:14:07,170 --> 00:14:05,230
which didn't raise a flag to them as a

340
00:14:09,120 --> 00:14:07,180
safety signal in fact it reinforced

341
00:14:11,970 --> 00:14:09,130
their opinion that the vaccine was safe

342
00:14:13,980 --> 00:14:11,980
incredibly so but we talked to the girls

343
00:14:16,710 --> 00:14:13,990
who were enrolled in the clinical trials

344
00:14:18,810 --> 00:14:16,720
and they were told and they received

345
00:14:20,519 --> 00:14:18,820
brochures to this effect that the

346
00:14:23,400 --> 00:14:20,529
vaccine was safe it had already been

347
00:14:26,280 --> 00:14:23,410
tested and this was 2002 the vaccine was

348
00:14:28,470 --> 00:14:26,290
approved in 2006 they were also told

349
00:14:30,420 --> 00:14:28,480
that the placebo would be saline and

350
00:14:32,040 --> 00:14:30,430
they were under the impression that the

351
00:14:35,579 --> 00:14:32,050
clinical trial investigators also

352
00:14:38,370 --> 00:14:35,589
believed that the placebo was saline so

353
00:14:40,500 --> 00:14:38,380
this was terribly egregious and some

354
00:14:42,870 --> 00:14:40,510
people consider it fraud on these girls

355
00:14:45,269 --> 00:14:42,880
this hasn't been tested of course but

356
00:14:48,000 --> 00:14:45,279
it's a terrible terrible indication of

357
00:14:50,760 --> 00:14:48,010
the lack attitudes that Merck had

358
00:14:52,260 --> 00:14:50,770
towards these very generous clinical

359
00:14:55,320 --> 00:14:52,270
trial participants who risk their health

360
00:14:57,030 --> 00:14:55,330
under false pretenses to give their

361
00:14:58,890 --> 00:14:57,040
contribution to science they believed

362
00:15:00,810 --> 00:14:58,900
that they were helping to save women

363
00:15:03,840 --> 00:15:00,820
from cervical cancer and they themselves

364
00:15:06,449 --> 00:15:03,850
got sick and it was never recorded or

365
00:15:08,070 --> 00:15:06,459
reported it was dismissed because and

366
00:15:10,050 --> 00:15:08,080
even the girls say that the clinical

367
00:15:11,519 --> 00:15:10,060
trial investigators believed that there

368
00:15:13,949 --> 00:15:11,529
was no side effects they were told

369
00:15:16,350 --> 00:15:13,959
everybody assumed this was safe so where

370
00:15:17,579 --> 00:15:16,360
are the checks and balances how do we

371
00:15:18,240 --> 00:15:17,589
know that Merck did a good job

372
00:15:20,010 --> 00:15:18,250
if

373
00:15:23,430 --> 00:15:20,020
these girls who were actually in Denmark

374
00:15:24,810 --> 00:15:23,440
a very regulated country as regards

375
00:15:25,440 --> 00:15:24,820
clinical trials what about other

376
00:15:27,690 --> 00:15:25,450
countries

377
00:15:29,430 --> 00:15:27,700
it just doesn't bode well and it would

378
00:15:31,410 --> 00:15:29,440
take many years to figure out all that

379
00:15:34,350 --> 00:15:31,420
information we only had a certain amount

380
00:15:36,360 --> 00:15:34,360
of time yes those were some of the very

381
00:15:38,340 --> 00:15:36,370
issues at the forefront of my mind that

382
00:15:40,290 --> 00:15:38,350
I found pretty shocking in your book

383
00:15:42,300 --> 00:15:40,300
with the findings that there was no true

384
00:15:45,330 --> 00:15:42,310
saline placebo probably being the most

385
00:15:47,550 --> 00:15:45,340
severe along with only testing half of

386
00:15:49,560 --> 00:15:47,560
the volume found in the retail vaccine

387
00:15:51,390 --> 00:15:49,570
and it's just so sad because you bring

388
00:15:53,460 --> 00:15:51,400
these girls in you tell them they're

389
00:15:56,220 --> 00:15:53,470
getting a saline placebo and then you

390
00:15:58,650 --> 00:15:56,230
inject them with these adjuvant and some

391
00:16:02,400 --> 00:15:58,660
of them come away damaged just from that

392
00:16:04,950 --> 00:16:02,410
right but what this practice does which

393
00:16:06,570 --> 00:16:04,960
is so sinister is it masks the hazards

394
00:16:08,610 --> 00:16:06,580
that would come from these adjuvant

395
00:16:11,760 --> 00:16:08,620
because there's no true control group as

396
00:16:14,040 --> 00:16:11,770
your book puts it Merck and the FDA

397
00:16:16,380 --> 00:16:14,050
concluded that because the vaccine and

398
00:16:18,990 --> 00:16:16,390
the control had similar safety profiles

399
00:16:20,880 --> 00:16:19,000
the vaccine must be safe that's like

400
00:16:23,400 --> 00:16:20,890
saying because cigarettes and cigars

401
00:16:25,920 --> 00:16:23,410
have similar risk profiles that they

402
00:16:28,920 --> 00:16:25,930
must both be safe and that's a great

403
00:16:30,329 --> 00:16:28,930
analogy but it is clear to see what

404
00:16:32,910 --> 00:16:30,339
they're doing here first they flat-out

405
00:16:35,520 --> 00:16:32,920
lied then they obviously manipulated the

406
00:16:38,460 --> 00:16:35,530
data dishonestly there has to be a

407
00:16:39,840 --> 00:16:38,470
deeper answer here than ignorance right

408
00:16:43,020 --> 00:16:39,850
I mean how could such a thing happen

409
00:16:44,610 --> 00:16:43,030
with the protocols and protections that

410
00:16:45,270 --> 00:16:44,620
we assume are in place for stuff like

411
00:16:48,090 --> 00:16:45,280
this

412
00:16:49,590 --> 00:16:48,100
well everyone asks us that you know how

413
00:16:51,650 --> 00:16:49,600
did they ever get it approved so we

414
00:16:55,170 --> 00:16:51,660
asked the FDA you know why did you allow

415
00:16:57,540 --> 00:16:55,180
Merck to use an aluminum adjuvant and

416
00:17:01,110 --> 00:16:57,550
their response was well we've been using

417
00:17:03,780 --> 00:17:01,120
aluminum salts for 70 years and Merck

418
00:17:06,179 --> 00:17:03,790
wanted to double-blind the studies so

419
00:17:08,880 --> 00:17:06,189
that means that neither the participant

420
00:17:11,370 --> 00:17:08,890
nor the person administering the vaccine

421
00:17:12,660 --> 00:17:11,380
would know right which was switched so

422
00:17:16,050 --> 00:17:12,670
they wanted to make it look the same

423
00:17:18,210 --> 00:17:16,060
which is absolutely bogus because as you

424
00:17:20,939 --> 00:17:18,220
will have read and we just spoke about

425
00:17:23,040 --> 00:17:20,949
it that they did design a clinical trial

426
00:17:25,500 --> 00:17:23,050
that did not contain the adjuvant it did

427
00:17:27,750 --> 00:17:25,510
contain the other ingredients but so it

428
00:17:30,900 --> 00:17:27,760
isn't true that they needed to do that

429
00:17:31,350 --> 00:17:30,910
and many trials are done without the

430
00:17:33,480 --> 00:17:31,360
vaccine

431
00:17:35,669 --> 00:17:33,490
looking the same I mean the vials so

432
00:17:37,350 --> 00:17:35,679
there are the ways to do it it's not

433
00:17:39,660 --> 00:17:37,360
good enough and like you said they used

434
00:17:42,600 --> 00:17:39,670
it as evidence of safety which is

435
00:17:45,240 --> 00:17:42,610
preposterous and when they were asked by

436
00:17:46,919 --> 00:17:45,250
an independent scientist in the UK dr.

437
00:17:49,140 --> 00:17:46,929
Christopher Exley who's been studying

438
00:17:51,510 --> 00:17:49,150
aluminum for 30 odd years and he's the

439
00:17:54,270 --> 00:17:51,520
world's experts in its toxicity and its

440
00:17:58,380 --> 00:17:54,280
effects on the humans and animals

441
00:18:00,210 --> 00:17:58,390
he asked Merck to receive a vial so he

442
00:18:02,460 --> 00:18:00,220
could independently test it in his lab

443
00:18:04,230 --> 00:18:02,470
and they said no so where is the

444
00:18:06,600 --> 00:18:04,240
independent study that this is safe to

445
00:18:09,630 --> 00:18:06,610
inject into prepubescent children we

446
00:18:11,070 --> 00:18:09,640
don't know the effect of injecting this

447
00:18:13,260 --> 00:18:11,080
amount and the new version of the

448
00:18:15,330 --> 00:18:13,270
vaccine Gardasil 9 has double the

449
00:18:17,340 --> 00:18:15,340
amounts that was studied in the clinical

450
00:18:19,350 --> 00:18:17,350
trials the original clinical trials and

451
00:18:21,659 --> 00:18:19,360
guess what guess what was it the control

452
00:18:23,250 --> 00:18:21,669
in Gardez and nines clinical trials well

453
00:18:26,789 --> 00:18:23,260
it was the first version of the vaccine

454
00:18:28,680 --> 00:18:26,799
so not only did you have no placebo in

455
00:18:30,510 --> 00:18:28,690
the original trials then you come to

456
00:18:32,940 --> 00:18:30,520
testing this new product and then they

457
00:18:35,430 --> 00:18:32,950
use the old version so the whole thing

458
00:18:37,880 --> 00:18:35,440
begs so many questions and they've never

459
00:18:40,919 --> 00:18:37,890
been answered right and another element

460
00:18:43,440 --> 00:18:40,929
seems to be that in the Gardasil

461
00:18:46,380 --> 00:18:43,450
clinical trials they used a new metric

462
00:18:49,110 --> 00:18:46,390
of new medical conditions as a way to

463
00:18:51,240 --> 00:18:49,120
claim that maybe serious health problems

464
00:18:52,980 --> 00:18:51,250
after vaccination were unrelated to

465
00:18:55,650 --> 00:18:52,990
injections this is the type of moving

466
00:18:57,750 --> 00:18:55,660
the goal posts that I've seen before but

467
00:18:59,580 --> 00:18:57,760
how does it come into play here well I

468
00:19:02,430 --> 00:18:59,590
think it comes into play in a very key

469
00:19:03,900 --> 00:19:02,440
way they tracked serious adverse events

470
00:19:07,169 --> 00:19:03,910
other adverse events and reactions

471
00:19:09,390 --> 00:19:07,179
really for the first 15 days following

472
00:19:12,480 --> 00:19:09,400
each injection so it's a very short

473
00:19:14,280 --> 00:19:12,490
timeframe in which to see adverse events

474
00:19:16,080 --> 00:19:14,290
particularly things like autoimmune

475
00:19:18,870 --> 00:19:16,090
conditions which we're seeing so many

476
00:19:21,390 --> 00:19:18,880
young people develop following HPV

477
00:19:23,310 --> 00:19:21,400
vaccination and those can take months

478
00:19:25,980 --> 00:19:23,320
and years to develop and even longer to

479
00:19:29,640 --> 00:19:25,990
get a diagnosis they're tricky diseases

480
00:19:31,020 --> 00:19:29,650
to diagnose and what they did was create

481
00:19:32,909 --> 00:19:31,030
this metric called new medical

482
00:19:36,720 --> 00:19:32,919
conditions and almost built into the

483
00:19:38,730 --> 00:19:36,730
metric is a presumption that those

484
00:19:41,280 --> 00:19:38,740
conditions are not related to the

485
00:19:44,200 --> 00:19:41,290
vaccine and that clinical trial

486
00:19:46,270 --> 00:19:44,210
investigators were not required to

487
00:19:48,640 --> 00:19:46,280
as much information about these new

488
00:19:52,060 --> 00:19:48,650
medical conditions as they were about

489
00:19:53,680 --> 00:19:52,070
serious adverse events and they have new

490
00:19:55,900 --> 00:19:53,690
medical conditions going out seven

491
00:19:57,250 --> 00:19:55,910
months 12 months depending on the trial

492
00:19:59,020 --> 00:19:57,260
group and they're very serious

493
00:20:02,170 --> 00:19:59,030
conditions there's gastrointestinal

494
00:20:04,210 --> 00:20:02,180
issues there's autoimmune issues there

495
00:20:06,880 --> 00:20:04,220
are reproductive and breasts health

496
00:20:09,400 --> 00:20:06,890
issues there are blood issues cardiac

497
00:20:11,650 --> 00:20:09,410
issues these are not serious infections

498
00:20:14,620 --> 00:20:11,660
these are not just passing you know I

499
00:20:16,840 --> 00:20:14,630
have a headache or my arm hurts type of

500
00:20:19,720 --> 00:20:16,850
reaction they're very serious conditions

501
00:20:21,970 --> 00:20:19,730
and we know from the girls in Denmark

502
00:20:24,400 --> 00:20:21,980
one of the girls in Denmark as we talked

503
00:20:25,170 --> 00:20:24,410
about in the book said that she was very

504
00:20:27,790 --> 00:20:25,180
sick

505
00:20:30,100 --> 00:20:27,800
fouling vaccinations and she would go in

506
00:20:31,930 --> 00:20:30,110
and report these whole series of

507
00:20:34,500 --> 00:20:31,940
symptoms that she was experiencing that

508
00:20:37,270 --> 00:20:34,510
were very serious and when she later

509
00:20:39,550 --> 00:20:37,280
obtained her records through a Freedom

510
00:20:41,470 --> 00:20:39,560
of Information Act request obtained her

511
00:20:44,350 --> 00:20:41,480
clinical trial records with the help of

512
00:20:46,270 --> 00:20:44,360
a reporter from Slate there was very

513
00:20:49,180 --> 00:20:46,280
little notation in those records of what

514
00:20:50,830 --> 00:20:49,190
she was reporting it almost looked as if

515
00:20:54,490 --> 00:20:50,840
she was reporting something relatively

516
00:20:57,730 --> 00:20:54,500
mild whereas she was debilitated quite

517
00:20:59,110 --> 00:20:57,740
frankly so this new metric as I said

518
00:21:01,240 --> 00:20:59,120
sort of had this presumption of almost

519
00:21:05,770 --> 00:21:01,250
not being related to the vaccine but

520
00:21:08,700 --> 00:21:05,780
importantly almost 50% of young women in

521
00:21:10,890 --> 00:21:08,710
all the clinical trial groups combined

522
00:21:15,580 --> 00:21:10,900
reported new medical conditions

523
00:21:17,620 --> 00:21:15,590
following vaccination and given that we

524
00:21:19,150 --> 00:21:17,630
know that there's perhaps scant

525
00:21:21,340 --> 00:21:19,160
reporting on some of these the numbers

526
00:21:24,250 --> 00:21:21,350
could be even higher than what's shown

527
00:21:25,990 --> 00:21:24,260
in the clinical trial data if you have

528
00:21:28,210 --> 00:21:26,000
someone like the young woman in our book

529
00:21:30,160 --> 00:21:28,220
who said her conditions really weren't

530
00:21:31,420 --> 00:21:30,170
written down very well so I to me it

531
00:21:33,970 --> 00:21:31,430
begs the question of whether that number

532
00:21:36,640 --> 00:21:33,980
is in fact even higher but what we have

533
00:21:39,430 --> 00:21:36,650
is half of people reporting that they're

534
00:21:40,930 --> 00:21:39,440
ill and it's also critical that the

535
00:21:43,150 --> 00:21:40,940
readers understand in your listeners

536
00:21:44,970 --> 00:21:43,160
understand that the people who

537
00:21:48,520 --> 00:21:44,980
participated in these clinical trials

538
00:21:51,280 --> 00:21:48,530
were a really select group of basically

539
00:21:54,450 --> 00:21:51,290
the healthiest of healthy young women

540
00:21:56,650 --> 00:21:54,460
there were numerous exclusion criteria

541
00:21:57,970 --> 00:21:56,660
that the clinical trial investigators

542
00:22:00,070 --> 00:21:57,980
would apply

543
00:22:02,110 --> 00:22:00,080
I in determining who could participate

544
00:22:04,450 --> 00:22:02,120
in the clinical trials and it had to do

545
00:22:06,070 --> 00:22:04,460
with you know how healthy you were your

546
00:22:07,539 --> 00:22:06,080
gynecologic history your a number of

547
00:22:09,250 --> 00:22:07,549
sexual partners you couldn't have had

548
00:22:11,860 --> 00:22:09,260
more than four sexual partners in your

549
00:22:14,440 --> 00:22:11,870
life whether or not you had some sort of

550
00:22:16,320 --> 00:22:14,450
immunological or autoimmune condition so

551
00:22:19,330 --> 00:22:16,330
all those people would be left out and

552
00:22:21,610 --> 00:22:19,340
then there was a sort of catch-all that

553
00:22:23,799 --> 00:22:21,620
the clinical trial investigator could

554
00:22:25,690 --> 00:22:23,809
exclude anyone who he or she thought for

555
00:22:27,580 --> 00:22:25,700
whatever reason might skew the results

556
00:22:29,830 --> 00:22:27,590
of the trial somehow or not be an

557
00:22:31,659 --> 00:22:29,840
appropriate candidate for the trial so

558
00:22:34,060 --> 00:22:31,669
you could lump a bunch of people into

559
00:22:37,240 --> 00:22:34,070
that category so what you're getting is

560
00:22:39,310 --> 00:22:37,250
the healthiest of healthy nine to twenty

561
00:22:41,830 --> 00:22:39,320
three year olds primarily in one country

562
00:22:45,460 --> 00:22:41,840
it went up to 26 but 9 to 26 year olds

563
00:22:47,830 --> 00:22:45,470
who are super super healthy and half of

564
00:22:49,860 --> 00:22:47,840
them are getting serious illnesses

565
00:22:52,480 --> 00:22:49,870
during these trials that's astounding

566
00:22:55,000 --> 00:22:52,490
yes that's an excellent point because

567
00:22:56,470 --> 00:22:55,010
it's all factors and data that goes out

568
00:22:58,210 --> 00:22:56,480
the window and you're injecting the

569
00:23:01,390 --> 00:22:58,220
masses because they don't have the

570
00:23:03,730 --> 00:23:01,400
strict criteria once the trials are over

571
00:23:07,000 --> 00:23:03,740
with but another factor that's really

572
00:23:09,480 --> 00:23:07,010
important is the age because I guess

573
00:23:12,820 --> 00:23:09,490
it's given to girls as young as nine

574
00:23:15,430 --> 00:23:12,830
perhaps but in the trials the subjects

575
00:23:17,650 --> 00:23:15,440
of the study were significantly older

576
00:23:21,580 --> 00:23:17,660
why is that important what data does

577
00:23:23,260 --> 00:23:21,590
that obscure well the reason that the

578
00:23:25,870 --> 00:23:23,270
girls were older in the trials was

579
00:23:27,700 --> 00:23:25,880
because the endpoints in other words

580
00:23:30,070 --> 00:23:27,710
what they were testing involved

581
00:23:32,169 --> 00:23:30,080
gynecological examinations right so and

582
00:23:34,240 --> 00:23:32,179
they had to be of an age group that were

583
00:23:38,049 --> 00:23:34,250
potentially sexually active so that they

584
00:23:40,240 --> 00:23:38,059
could study the virus and if the control

585
00:23:43,120 --> 00:23:40,250
group which we know is a foe SIBO but if

586
00:23:44,350 --> 00:23:43,130
HPV infections were being induced so

587
00:23:47,320 --> 00:23:44,360
that was the reason for the age group

588
00:23:50,289 --> 00:23:47,330
and younger children of course cannot

589
00:23:54,400 --> 00:23:50,299
have gynecological exams we believe that

590
00:23:56,470 --> 00:23:54,410
the target market was young children we

591
00:23:59,680 --> 00:23:56,480
know from let's say the back way around

592
00:24:01,840 --> 00:23:59,690
this that they weren't likely to have

593
00:24:03,789 --> 00:24:01,850
sexual intercourse and the vaccine is

594
00:24:06,130 --> 00:24:03,799
supposedly more effective in young

595
00:24:08,470 --> 00:24:06,140
children and we did find in the clinical

596
00:24:09,980 --> 00:24:08,480
trials that if the young women had HPV

597
00:24:12,590 --> 00:24:09,990
infections they were

598
00:24:14,480 --> 00:24:12,600
more likely to develop disease later on

599
00:24:17,030 --> 00:24:14,490
but perhaps Kim maybe you can answer

600
00:24:19,190 --> 00:24:17,040
that better than I can sure so what they

601
00:24:21,440 --> 00:24:19,200
found as Eileen said there is one sort

602
00:24:23,180 --> 00:24:21,450
of logical reason that the vast majority

603
00:24:25,070 --> 00:24:23,190
of clinical trial participants were

604
00:24:27,020 --> 00:24:25,080
older and that they were able to conduct

605
00:24:29,600 --> 00:24:27,030
gynecologic exams on them which they

606
00:24:34,390 --> 00:24:29,610
couldn't ethically do on you know nine

607
00:24:38,740 --> 00:24:34,400
and ten-year-olds but they also found in

608
00:24:41,110 --> 00:24:38,750
one small sub study group that women who

609
00:24:44,450 --> 00:24:41,120
were at the time they were vaccinated

610
00:24:46,910 --> 00:24:44,460
both had evidence from a blood test of

611
00:24:52,150 --> 00:24:46,920
prior exposure to one of the vaccine

612
00:24:55,280 --> 00:24:52,160
types of HPV and had some evidence of

613
00:24:58,010 --> 00:24:55,290
current exposure based on physical exam

614
00:25:00,740 --> 00:24:58,020
that those women who were vaccinated

615
00:25:05,780 --> 00:25:00,750
were over forty four percent more likely

616
00:25:08,900 --> 00:25:05,790
to develop vaccine type HPV associated

617
00:25:11,540 --> 00:25:08,910
disease during the trial period than the

618
00:25:13,460 --> 00:25:11,550
same cohort who received that cohort who

619
00:25:15,919 --> 00:25:13,470
received the control the aluminum

620
00:25:18,110 --> 00:25:15,929
adjuvant and they found also that those

621
00:25:20,990 --> 00:25:18,120
women had more quote unquote

622
00:25:23,000 --> 00:25:21,000
real-world risk factors for disease as

623
00:25:25,250 --> 00:25:23,010
well they were smokers some of them were

624
00:25:27,169 --> 00:25:25,260
obese so they had these risk factors

625
00:25:30,020 --> 00:25:27,179
that play into the development of

626
00:25:31,250 --> 00:25:30,030
disease but if you're vaccinating

627
00:25:32,870 --> 00:25:31,260
someone and you know that they have

628
00:25:35,460 --> 00:25:32,880
those risk factors and you know that

629
00:25:38,100 --> 00:25:35,470
they may have an infection

630
00:25:41,370 --> 00:25:38,110
that should raise red flags but instead

631
00:25:42,419 --> 00:25:41,380
in the real world what we're seeing is

632
00:25:45,060 --> 00:25:42,429
that the American College of

633
00:25:47,159 --> 00:25:45,070
Obstetricians and Gynaecologists says

634
00:25:50,250 --> 00:25:47,169
don't pre-screen for HPV infection

635
00:25:51,960 --> 00:25:50,260
before administering the vaccine so

636
00:25:55,169 --> 00:25:51,970
they're not looking for those women who

637
00:25:57,060 --> 00:25:55,179
may be at a greater risk because of an

638
00:25:59,340 --> 00:25:57,070
infection and other risk factors and

639
00:26:01,649 --> 00:25:59,350
you're less likely to have those risk

640
00:26:03,360 --> 00:26:01,659
factors with young children and young

641
00:26:04,649 --> 00:26:03,370
children they're less likely to be

642
00:26:05,669 --> 00:26:04,659
smokers they're less likely to be

643
00:26:08,130 --> 00:26:05,679
sexually active

644
00:26:10,260 --> 00:26:08,140
that doesn't mean they may not have been

645
00:26:11,880 --> 00:26:10,270
exposed to HPV and there certainly were

646
00:26:14,159 --> 00:26:11,890
young children in the clinical trials

647
00:26:17,130 --> 00:26:14,169
who had evidence of prior exposure

648
00:26:20,399 --> 00:26:17,140
through blood testing and there are

649
00:26:23,220 --> 00:26:20,409
other ways to be infected with HPV than

650
00:26:25,470 --> 00:26:23,230
just through sexual activity it's less

651
00:26:27,870 --> 00:26:25,480
common but it's very real I mean there's

652
00:26:30,390 --> 00:26:27,880
mother to infant transmission during

653
00:26:31,770 --> 00:26:30,400
births and there's hand to body part

654
00:26:33,090 --> 00:26:31,780
transmission even you know with young

655
00:26:35,130 --> 00:26:33,100
children changing diapers and things

656
00:26:37,919 --> 00:26:35,140
like that so it is possible for someone

657
00:26:40,380 --> 00:26:37,929
who's not sexually active to have an HPV

658
00:26:43,590 --> 00:26:40,390
infection though less common but by

659
00:26:46,110 --> 00:26:43,600
switching the cohort to these younger

660
00:26:47,789 --> 00:26:46,120
children as the target market you've

661
00:26:49,620 --> 00:26:47,799
sort of removed some of those risks

662
00:26:52,230 --> 00:26:49,630
theoretically right and there was also

663
00:26:54,270 --> 00:26:52,240
the risk of pregnancy miscarriage that

664
00:26:56,880 --> 00:26:54,280
we saw in the trials but we can't say

665
00:26:58,649 --> 00:26:56,890
for sure if it was intended or it was

666
00:27:01,500 --> 00:26:58,659
switched to the younger market partway

667
00:27:03,090 --> 00:27:01,510
through we have to assume that the

668
00:27:05,190 --> 00:27:03,100
target market was always these young

669
00:27:07,409 --> 00:27:05,200
children because they're more

670
00:27:10,200 --> 00:27:07,419
immunologically responsive to a vaccine

671
00:27:12,690 --> 00:27:10,210
that's at least what we are told and you

672
00:27:14,940 --> 00:27:12,700
know we're also told that the target

673
00:27:18,390 --> 00:27:14,950
market was really the developing world

674
00:27:20,549 --> 00:27:18,400
and that doesn't appear to be in reality

675
00:27:22,680 --> 00:27:20,559
what's happening the developing world is

676
00:27:25,560 --> 00:27:22,690
not receiving this vaccine where most

677
00:27:28,350 --> 00:27:25,570
cases of cervical cancer mortality are

678
00:27:30,899 --> 00:27:28,360
highest I think it's over 90% of

679
00:27:32,940 --> 00:27:30,909
cervical cancer cases happen in the

680
00:27:36,140 --> 00:27:32,950
developing world so you know this is

681
00:27:39,180 --> 00:27:36,150
kind of a very not well thought out

682
00:27:41,460 --> 00:27:39,190
vaccine in terms of distribution rollout

683
00:27:44,850 --> 00:27:41,470
marketing and instead the developed

684
00:27:48,120 --> 00:27:44,860
world's the US UK Europe Australia

685
00:27:48,910 --> 00:27:48,130
Canada are giving this vaccine to their

686
00:27:52,600 --> 00:27:48,920
youngest

687
00:27:54,670 --> 00:27:52,610
Queens and subsidizing for other

688
00:27:57,010 --> 00:27:54,680
countries to enter into this arrangement

689
00:27:59,200 --> 00:27:57,020
of giving the vaccine to their children

690
00:28:01,870 --> 00:27:59,210
so it's a little bit upside down at the

691
00:28:04,980 --> 00:28:01,880
moment and as Kim said the recent

692
00:28:07,750 --> 00:28:04,990
approval by the FDA to include women

693
00:28:09,520 --> 00:28:07,760
twenty seven to forty five women and men

694
00:28:12,760 --> 00:28:09,530
actually twenty seven to forty five is

695
00:28:13,990 --> 00:28:12,770
also preposterous given that we saw in

696
00:28:16,360 --> 00:28:14,000
the clinical trials that there's an

697
00:28:20,260 --> 00:28:16,370
increased risk for disease enhancements

698
00:28:22,570 --> 00:28:20,270
in women who have had HPV in the past

699
00:28:25,090 --> 00:28:22,580
and added to that there's been no

700
00:28:27,220 --> 00:28:25,100
testing on man and they used this method

701
00:28:29,380 --> 00:28:27,230
in clinical trials when you can't study

702
00:28:31,180 --> 00:28:29,390
the target market so they couldn't study

703
00:28:32,740 --> 00:28:31,190
the children and they couldn't study men

704
00:28:34,690 --> 00:28:32,750
really because this was a cervical

705
00:28:38,080 --> 00:28:34,700
cancer study so they use things called

706
00:28:40,660 --> 00:28:38,090
bridging studies so they will do tighter

707
00:28:43,180 --> 00:28:40,670
tests or blood tests after giving the

708
00:28:46,360 --> 00:28:43,190
participants the vaccine and then bridge

709
00:28:48,760 --> 00:28:46,370
it up let's say compare it to the more

710
00:28:50,740 --> 00:28:48,770
studies market and then through their

711
00:28:52,240 --> 00:28:50,750
bridging in other words they were

712
00:28:54,490 --> 00:28:52,250
connected somehow they'll say oh well

713
00:28:56,260 --> 00:28:54,500
let's compare the two groups and then

714
00:28:59,080 --> 00:28:56,270
that's how they get approval for these

715
00:29:00,670 --> 00:28:59,090
young kids and men by bridging and

716
00:29:03,400 --> 00:29:00,680
saying well it's pretty similar we're

717
00:29:06,220 --> 00:29:03,410
good to go without including the

718
00:29:08,680 --> 00:29:06,230
differences that young children have an

719
00:29:10,870 --> 00:29:08,690
men have in their immune response to

720
00:29:13,420 --> 00:29:10,880
vaccines so this is white knuckling it

721
00:29:15,160 --> 00:29:13,430
you know this vaccine is one of the

722
00:29:17,140 --> 00:29:15,170
least tested although it claims that

723
00:29:19,300 --> 00:29:17,150
it's the most tested it may be the most

724
00:29:21,220 --> 00:29:19,310
tested in terms of time spent on

725
00:29:24,370 --> 00:29:21,230
clinical trials but it's the least

726
00:29:27,610 --> 00:29:24,380
tested in terms of substance hmm well

727
00:29:29,590 --> 00:29:27,620
that's a great summary and it's just so

728
00:29:32,380 --> 00:29:29,600
sad we have all these issues with the

729
00:29:36,850 --> 00:29:32,390
trials it's sloppiness at best deception

730
00:29:39,370 --> 00:29:36,860
and criminality at worst and to get into

731
00:29:42,100 --> 00:29:39,380
Part two maybe let's look deeper at what

732
00:29:44,110 --> 00:29:42,110
happened when the vaccine came to market

733
00:29:46,720 --> 00:29:44,120
what can you tell us about how many

734
00:29:48,640 --> 00:29:46,730
girls have gotten it and some of the

735
00:29:51,640 --> 00:29:48,650
damage and issues that arose once it

736
00:29:54,190 --> 00:29:51,650
actually did come out so millions of

737
00:29:56,320 --> 00:29:54,200
girls and boys now worldwide have gotten

738
00:29:58,180 --> 00:29:56,330
the vaccine and I think one thing that

739
00:30:00,090 --> 00:29:58,190
we try to do and it's important to put

740
00:30:02,400 --> 00:30:00,100
in perspective is

741
00:30:04,140 --> 00:30:02,410
is looking and Eileen touched on this

742
00:30:06,060 --> 00:30:04,150
the difference between high resource

743
00:30:09,270 --> 00:30:06,070
countries and low resource countries and

744
00:30:11,789 --> 00:30:09,280
the purported need for the vaccine when

745
00:30:13,770 --> 00:30:11,799
you look at information and we did and

746
00:30:18,240 --> 00:30:13,780
we have it in the book about who's

747
00:30:20,070 --> 00:30:18,250
really at risk of cervical cancer in the

748
00:30:24,390 --> 00:30:20,080
United States according to the National

749
00:30:26,520 --> 00:30:24,400
Cancer Institute's own data 0.6 percent

750
00:30:28,980 --> 00:30:26,530
of US women are at risk of developing

751
00:30:32,279 --> 00:30:28,990
cervical cancer in their lifetime so

752
00:30:34,760 --> 00:30:32,289
just over half a percent of women and of

753
00:30:37,529 --> 00:30:34,770
course any case of cervical cancer is

754
00:30:39,720 --> 00:30:37,539
devastating and no one wants anyone to

755
00:30:43,500 --> 00:30:39,730
have cervical cancer but the reality is

756
00:30:45,779 --> 00:30:43,510
that the risk is extraordinarily low for

757
00:30:48,779 --> 00:30:45,789
women in the United States so Merck's

758
00:30:51,090 --> 00:30:48,789
marketing that you know a mother or a

759
00:30:55,130 --> 00:30:51,100
parent would help their daughter to be

760
00:30:57,529 --> 00:30:55,140
one less case of cervical cancer is

761
00:30:59,880 --> 00:30:57,539
misleading because in most instances

762
00:31:01,649 --> 00:30:59,890
those girls were never going to be a

763
00:31:05,159 --> 00:31:01,659
case of cervical cancer because the

764
00:31:07,770 --> 00:31:05,169
incidence is so low in the u.s. in other

765
00:31:09,510 --> 00:31:07,780
parts of the world as Eileen pointed out

766
00:31:11,520 --> 00:31:09,520
it's much more devastating both the

767
00:31:14,399 --> 00:31:11,530
incident rate and the death rates are

768
00:31:17,460 --> 00:31:14,409
much much higher in places like East

769
00:31:19,620 --> 00:31:17,470
Africa and there are many reasons that

770
00:31:23,010 --> 00:31:19,630
contribute to those increases including

771
00:31:25,230 --> 00:31:23,020
smoking exposure to toxic smokes lack of

772
00:31:27,450 --> 00:31:25,240
screening because in developed countries

773
00:31:29,520 --> 00:31:27,460
generally speaking if you are screened

774
00:31:32,039 --> 00:31:29,530
any sort of abnormality is going to be

775
00:31:33,600 --> 00:31:32,049
caught and can be treated early and that

776
00:31:35,430 --> 00:31:33,610
the majority of women who develop

777
00:31:37,890 --> 00:31:35,440
cervical cancer in a country like the

778
00:31:39,779 --> 00:31:37,900
United States have not been screened in

779
00:31:42,180 --> 00:31:39,789
five or more years so screening is

780
00:31:44,430 --> 00:31:42,190
critical and one of the things that

781
00:31:47,549 --> 00:31:44,440
we're seeing and is being reported in

782
00:31:50,100 --> 00:31:47,559
this now post vaccine era that we're in

783
00:31:52,500 --> 00:31:50,110
is that when the youngest girls are

784
00:31:55,980 --> 00:31:52,510
vaccinated you know your tweens and your

785
00:32:00,450 --> 00:31:55,990
early teens that those girls seem to not

786
00:32:03,149 --> 00:32:00,460
be engaging in recommended gynecological

787
00:32:05,220 --> 00:32:03,159
screenings going forward so they're not

788
00:32:07,620 --> 00:32:05,230
getting their pap smears or their HPV

789
00:32:09,299 --> 00:32:07,630
DNA testing the way they should and that

790
00:32:11,760 --> 00:32:09,309
is very troubling because we know that

791
00:32:14,340 --> 00:32:11,770
screening works and those girls should

792
00:32:17,130 --> 00:32:14,350
be screened and the vaccine only

793
00:32:18,570 --> 00:32:17,140
against a limited number to the extent

794
00:32:22,049 --> 00:32:18,580
it protects it protects against a

795
00:32:25,549 --> 00:32:22,059
limited number of types of HPV so this

796
00:32:28,799 --> 00:32:25,559
idea that the vaccine will prevent all

797
00:32:30,659 --> 00:32:28,809
cervical cancer or that the vaccine will

798
00:32:32,130 --> 00:32:30,669
last your whole lifetime none of those

799
00:32:35,250 --> 00:32:32,140
things have been proven there are other

800
00:32:37,830 --> 00:32:35,260
types of HPV not in the vaccine that are

801
00:32:41,549 --> 00:32:37,840
associated with cervical cancer as well

802
00:32:45,000 --> 00:32:41,559
in other cancers and there's no evidence

803
00:32:46,799 --> 00:32:45,010
of lifetime protection you know it's a

804
00:32:50,159 --> 00:32:46,809
relatively new vaccine we don't know how

805
00:32:51,990 --> 00:32:50,169
long its protections will last to the

806
00:32:53,970 --> 00:32:52,000
extent there are protections so it's

807
00:32:56,730 --> 00:32:53,980
very worrisome that these girls might

808
00:32:59,580 --> 00:32:56,740
not be engaging in the kind of screening

809
00:33:01,200 --> 00:32:59,590
behavior and really at 11 and 12 years

810
00:33:01,649 --> 00:33:01,210
old which is really the central target

811
00:33:04,140 --> 00:33:01,659
market

812
00:33:06,750 --> 00:33:04,150
those girls are basically at that point

813
00:33:09,120 --> 00:33:06,760
in their lives at zero risk of cervical

814
00:33:10,980 --> 00:33:09,130
cancer and you know Greg we're seeing in

815
00:33:13,710 --> 00:33:10,990
the real world while on one hand they'll

816
00:33:15,930 --> 00:33:13,720
say oh look at Australia and you know

817
00:33:18,149 --> 00:33:15,940
HPV infections are down by half but

818
00:33:21,690 --> 00:33:18,159
these are benign infections in most

819
00:33:23,460 --> 00:33:21,700
cases 95% of in cases they will regress

820
00:33:25,560 --> 00:33:23,470
on their own with our body's immune

821
00:33:27,419 --> 00:33:25,570
system so we're hearing about this

822
00:33:29,490 --> 00:33:27,429
quote-unquote success of the vaccine so

823
00:33:32,010 --> 00:33:29,500
why would you not but they're ignoring

824
00:33:33,930 --> 00:33:32,020
the trail of destruction that we see all

825
00:33:35,820 --> 00:33:33,940
around the world and there's also this

826
00:33:38,130 --> 00:33:35,830
more subtle effect that hasn't yet been

827
00:33:40,200 --> 00:33:38,140
proven but we're seeing it you know Kim

828
00:33:41,820 --> 00:33:40,210
talked about screening and in the UK I

829
00:33:44,460 --> 00:33:41,830
think is a good example because they've

830
00:33:48,029 --> 00:33:44,470
had the vaccine in the schools for ten

831
00:33:49,620 --> 00:33:48,039
years at 90% uptake and what you see in

832
00:33:51,299 --> 00:33:49,630
the cervical cancer rates in the very

833
00:33:53,100 --> 00:33:51,309
young women there and we didn't really

834
00:33:54,870 --> 00:33:53,110
talk too much about this in the book

835
00:33:57,450 --> 00:33:54,880
because it just needs to be looked at

836
00:34:00,299 --> 00:33:57,460
more but cervical cancer in the young

837
00:34:02,789 --> 00:34:00,309
age group there are 20 to 28 years old

838
00:34:05,730 --> 00:34:02,799
is on the rise and we do know that

839
00:34:08,399 --> 00:34:05,740
screening is down by about 20 percent

840
00:34:10,919 --> 00:34:08,409
since the vaccine came in so this

841
00:34:13,109 --> 00:34:10,929
complacency towards screening or over

842
00:34:15,030 --> 00:34:13,119
reliance on the vaccine now why would

843
00:34:18,139 --> 00:34:15,040
cancer be going up in very young women

844
00:34:20,669 --> 00:34:18,149
either most likely lack of screening or

845
00:34:22,740 --> 00:34:20,679
most of them have had the vaccine so why

846
00:34:24,419 --> 00:34:22,750
didn't it work or what's happening this

847
00:34:27,230 --> 00:34:24,429
all needs to be looked at and yet it

848
00:34:29,540 --> 00:34:27,240
isn't because the w-h-o is focusing on

849
00:34:31,820 --> 00:34:29,550
small success stories like no warts in

850
00:34:33,680 --> 00:34:31,830
Australia I mean that has never been a

851
00:34:36,230 --> 00:34:33,690
public health threat to my knowledge and

852
00:34:38,180 --> 00:34:36,240
you know the other reason could be that

853
00:34:41,030 --> 00:34:38,190
Kim also mentioned and it needs to be

854
00:34:43,159 --> 00:34:41,040
studied again is this idea that other

855
00:34:45,500 --> 00:34:43,169
strains could be taking the place of

856
00:34:46,909 --> 00:34:45,510
those two very prevalent strains sixteen

857
00:34:49,040 --> 00:34:46,919
and eighteen that were in the vaccine

858
00:34:51,320 --> 00:34:49,050
that those children got in the UK and

859
00:34:53,780 --> 00:34:51,330
elsewhere but perhaps there are other

860
00:34:56,180 --> 00:34:53,790
strains now filling the void nature

861
00:34:59,660 --> 00:34:56,190
abhors a vacuum and this is well known

862
00:35:01,430 --> 00:34:59,670
in virology that other strains could

863
00:35:03,740 --> 00:35:01,440
become more virulent and take the place

864
00:35:05,870 --> 00:35:03,750
so why are these young women in the UK

865
00:35:07,880 --> 00:35:05,880
now more prone to cancer numbers

866
00:35:10,490 --> 00:35:07,890
thankfully are small but the trend is on

867
00:35:13,400 --> 00:35:10,500
the way up since the vaccine came in and

868
00:35:14,630 --> 00:35:13,410
it's shocking and scary and women need

869
00:35:17,290 --> 00:35:14,640
to get screened I think that's the

870
00:35:20,120 --> 00:35:17,300
message right and there is some evidence

871
00:35:21,620 --> 00:35:20,130
even in studies from the US Centers for

872
00:35:24,710 --> 00:35:21,630
Disease Control there is some evidence

873
00:35:26,359 --> 00:35:24,720
that type replacement is occurring it's

874
00:35:28,550 --> 00:35:26,369
still equivocal at this point and it's

875
00:35:30,320 --> 00:35:28,560
early days and hard to tell but there

876
00:35:32,240 --> 00:35:30,330
certainly is some evidence that this

877
00:35:35,270 --> 00:35:32,250
type replacement is occurring and that

878
00:35:37,460 --> 00:35:35,280
once you take out as Eileen said these

879
00:35:40,160 --> 00:35:37,470
predominant strains that other strains

880
00:35:41,720 --> 00:35:40,170
that may we don't know that may be more

881
00:35:44,090 --> 00:35:41,730
virulent which is why they were sort of

882
00:35:46,910 --> 00:35:44,100
camped down by the less virulent strains

883
00:35:50,840 --> 00:35:46,920
are going to come in to fill that void

884
00:35:52,790 --> 00:35:50,850
and it is very very concerning that

885
00:35:55,490 --> 00:35:52,800
these young women you know the 20 to 28

886
00:35:57,620 --> 00:35:55,500
year olds that cervical cancer is on the

887
00:35:59,690 --> 00:35:57,630
rise right that cohort because the

888
00:36:03,800 --> 00:35:59,700
incident rate for cervical cancer in

889
00:36:05,840 --> 00:36:03,810
that age group is thankfully very very

890
00:36:09,080 --> 00:36:05,850
low but you don't want to see any rise

891
00:36:10,970 --> 00:36:09,090
in cancer in those young women so that

892
00:36:12,620 --> 00:36:10,980
needs to be watched not just in the UK

893
00:36:14,000 --> 00:36:12,630
but in other countries as well where the

894
00:36:18,230 --> 00:36:14,010
programs have been in place for a long

895
00:36:20,900 --> 00:36:18,240
time and it's just all so interesting

896
00:36:23,359 --> 00:36:20,910
and let's use maybe the US as a

897
00:36:26,240 --> 00:36:23,369
microcosm because you said just over a

898
00:36:28,849 --> 00:36:26,250
half a percent are actually at risk of

899
00:36:32,510 --> 00:36:28,859
cervical cancer in the u.s. how many

900
00:36:34,820 --> 00:36:32,520
people how many women got this vaccine

901
00:36:37,940 --> 00:36:34,830
versus like what kind of statistics do

902
00:36:40,039 --> 00:36:37,950
we have on how many end up adversely

903
00:36:42,679 --> 00:36:40,049
affected out in the real world

904
00:36:45,289 --> 00:36:42,689
mmm well historically over the last 10

905
00:36:48,259 --> 00:36:45,299
years or what is it no 12 years since

906
00:36:50,689 --> 00:36:48,269
the vaccine was approved in 2006 uptake

907
00:36:54,499 --> 00:36:50,699
has been very low in the u.s. averaging

908
00:36:57,769 --> 00:36:54,509
around 30% it started off as a three

909
00:37:01,370 --> 00:36:57,779
injection series so kids would have to

910
00:37:04,039 --> 00:37:01,380
get three injections and in 2016-17 it

911
00:37:06,679 --> 00:37:04,049
was reduced to two injections for the

912
00:37:08,929 --> 00:37:06,689
very young again because they know that

913
00:37:11,239 --> 00:37:08,939
the youngest kids have more of an immune

914
00:37:14,749 --> 00:37:11,249
response to vaccines so if you're over

915
00:37:16,729 --> 00:37:14,759
15 it's three so historically it's been

916
00:37:19,249 --> 00:37:16,739
around thirty percent and that is

917
00:37:21,979 --> 00:37:19,259
slightly increasing with the two dose

918
00:37:24,529 --> 00:37:21,989
schedule because obviously it's less

919
00:37:27,620 --> 00:37:24,539
onerous on the patient as regards

920
00:37:30,019 --> 00:37:27,630
injuries and statistics in terms of what

921
00:37:32,719 --> 00:37:30,029
percentage we can only tell from what's

922
00:37:35,329 --> 00:37:32,729
reported to the vaccine adverse events

923
00:37:37,339 --> 00:37:35,339
reporting system bears which is very

924
00:37:40,339 --> 00:37:37,349
passive not many people know about it

925
00:37:42,319 --> 00:37:40,349
not even doctors let alone the public so

926
00:37:44,630 --> 00:37:42,329
if you have our vaccine reaction your

927
00:37:46,819 --> 00:37:44,640
doctor should report it to bears now

928
00:37:48,890 --> 00:37:46,829
it's something that you can do online or

929
00:37:52,009 --> 00:37:48,900
you know the doctor can call or report

930
00:37:53,449 --> 00:37:52,019
it to Merck but this is not routine my

931
00:37:55,999 --> 00:37:53,459
reason for saying that is that numbers

932
00:37:59,150 --> 00:37:56,009
are underestimated rather than over so

933
00:38:04,549 --> 00:37:59,160
currently we have around 61 thousand

934
00:38:06,199 --> 00:38:04,559
reported reactions since 2006 and 430

935
00:38:08,390 --> 00:38:06,209
deaths I think came we looked at it the

936
00:38:10,549 --> 00:38:08,400
other day that's right right around 430

937
00:38:13,099 --> 00:38:10,559
yeah now not all of those reports of

938
00:38:15,589 --> 00:38:13,109
course are accurate like I said it's a

939
00:38:16,489 --> 00:38:15,599
passive system it's not robust in its

940
00:38:19,130 --> 00:38:16,499
reporting spot

941
00:38:23,120 --> 00:38:19,140
it is also underreported so for however

942
00:38:25,009 --> 00:38:23,130
many of those 430 deaths maybe oh I read

943
00:38:27,919 --> 00:38:25,019
something on the internet you could

944
00:38:30,620 --> 00:38:27,929
amplify that up by times ten to a

945
00:38:34,039 --> 00:38:30,630
hundred because we know that around only

946
00:38:37,039 --> 00:38:34,049
1% to 10% of real injuries are ever

947
00:38:39,620 --> 00:38:37,049
reported so we could be looking at 4,000

948
00:38:41,419 --> 00:38:39,630
deaths in the United States well

949
00:38:43,459 --> 00:38:41,429
actually there's does include some from

950
00:38:47,120 --> 00:38:43,469
around the world so around 4,000 deaths

951
00:38:49,160 --> 00:38:47,130
as opposed to yes cervical cancer deaths

952
00:38:51,620 --> 00:38:49,170
are terrifying and frightening and it's

953
00:38:52,160 --> 00:38:51,630
a horrible disease we don't in any shape

954
00:38:52,730 --> 00:38:52,170
or form

955
00:38:56,180 --> 00:38:52,740
who

956
00:38:58,250 --> 00:38:56,190
to belittle that there are 4,000 deaths

957
00:39:01,070 --> 00:38:58,260
due to cervical cancer annually in the

958
00:39:03,560 --> 00:39:01,080
United States it is ranked number 20 in

959
00:39:06,859 --> 00:39:03,570
the list of cancers in cancer mortality

960
00:39:08,300 --> 00:39:06,869
and you know most of those deaths I

961
00:39:10,820 --> 00:39:08,310
think Kim you mentioned this are in

962
00:39:15,890 --> 00:39:10,830
women who have not had regular pap

963
00:39:18,650 --> 00:39:15,900
screens or not availing program here in

964
00:39:20,480 --> 00:39:18,660
the United States so it's not to compare

965
00:39:22,490 --> 00:39:20,490
deaths to deaths it's horrifying either

966
00:39:24,320 --> 00:39:22,500
one but it's just to point out that

967
00:39:25,880 --> 00:39:24,330
there have been cases and Kim maybe you

968
00:39:28,220 --> 00:39:25,890
can talk about that settled in court

969
00:39:30,859 --> 00:39:28,230
where death has been rooms as caused by

970
00:39:32,870 --> 00:39:30,869
the vaccine sure and I just wanted to

971
00:39:35,660 --> 00:39:32,880
also go back to something Ilene said

972
00:39:38,300 --> 00:39:35,670
about the passiveness of the ver system

973
00:39:40,520 --> 00:39:38,310
and the underreporting there was a study

974
00:39:42,950 --> 00:39:40,530
done that the US Department of Health

975
00:39:46,670 --> 00:39:42,960
and Human Services commissioned by the

976
00:39:48,770 --> 00:39:46,680
Harvard Pilgrim group and they found

977
00:39:50,120 --> 00:39:48,780
that approximately 1 percent of injuries

978
00:39:53,450 --> 00:39:50,130
were reported to bears that the

979
00:39:55,640 --> 00:39:53,460
underreporting is really severe and when

980
00:39:57,380 --> 00:39:55,650
they went back to CDC to try to get more

981
00:39:59,570 --> 00:39:57,390
information and to flesh this out

982
00:40:01,760 --> 00:39:59,580
further CDC stopped returning their

983
00:40:03,530 --> 00:40:01,770
phone calls so they were essentially

984
00:40:04,910 --> 00:40:03,540
shut down but they did some good study

985
00:40:07,099 --> 00:40:04,920
and some good data and this is again

986
00:40:10,820 --> 00:40:07,109
very mainstream sources saying you know

987
00:40:14,030 --> 00:40:10,830
these injuries the 65,000 66,000 HPV

988
00:40:16,730 --> 00:40:14,040
injuries reported to bears are literally

989
00:40:19,250 --> 00:40:16,740
a tiny fraction of the potential

990
00:40:21,590 --> 00:40:19,260
injuries that are out there and there

991
00:40:24,020 --> 00:40:21,600
have been cases that have been settled

992
00:40:26,570 --> 00:40:24,030
or have been compensated in the vaccine

993
00:40:29,510 --> 00:40:26,580
injury compensation program for very

994
00:40:32,480 --> 00:40:29,520
serious injuries and for death and in

995
00:40:35,570 --> 00:40:32,490
the United States many people don't know

996
00:40:38,300 --> 00:40:35,580
that you cannot sue the vaccine

997
00:40:40,790 --> 00:40:38,310
manufacturer in a regular court of law

998
00:40:44,660 --> 00:40:40,800
if you've been injured by a vaccine if

999
00:40:47,359 --> 00:40:44,670
I've been injured in my car I'm in an

1000
00:40:49,160 --> 00:40:47,369
accident my seat belt fails I can sue

1001
00:40:50,330 --> 00:40:49,170
the manufacturer of my car and the you

1002
00:40:51,500 --> 00:40:50,340
know probably the manufacturer of the

1003
00:40:54,500 --> 00:40:51,510
seat belt and all kinds of other things

1004
00:40:57,560 --> 00:40:54,510
if I have a vaccine injury

1005
00:41:00,200 --> 00:40:57,570
I can't sue the manufacturer I can't

1006
00:41:02,630 --> 00:41:00,210
zoom work I can't sue Glaxo what I can

1007
00:41:03,890 --> 00:41:02,640
do is bring a claim

1008
00:41:05,450 --> 00:41:03,900
in what's called the vaccine injury

1009
00:41:08,420 --> 00:41:05,460
compensation program which has been

1010
00:41:10,580 --> 00:41:08,430
around since 1986 and it was put in

1011
00:41:12,800 --> 00:41:10,590
place at a time when there were

1012
00:41:15,620 --> 00:41:12,810
significant legal claims against vaccine

1013
00:41:18,170 --> 00:41:15,630
manufacturers for injuries surrounding

1014
00:41:20,060 --> 00:41:18,180
primarily the diphtheria tetanus

1015
00:41:23,060 --> 00:41:20,070
pertussis shot that was made with

1016
00:41:24,710 --> 00:41:23,070
whole-cell pertussis and there were

1017
00:41:26,090 --> 00:41:24,720
threats by the vaccine manufacturers

1018
00:41:28,730 --> 00:41:26,100
that they couldn't survive this they

1019
00:41:30,950 --> 00:41:28,740
would stop manufacturing vaccines and so

1020
00:41:33,830 --> 00:41:30,960
the Compensation Act was put into place

1021
00:41:37,370 --> 00:41:33,840
and it shields the manufacturers from

1022
00:41:38,870 --> 00:41:37,380
liability so when you as a person or as

1023
00:41:41,510 --> 00:41:38,880
a family member of a person who's been

1024
00:41:43,700 --> 00:41:41,520
injured makes a claim you're not making

1025
00:41:45,860 --> 00:41:43,710
that claim against the manufacturer you

1026
00:41:47,180 --> 00:41:45,870
are making the claim against the US

1027
00:41:50,540 --> 00:41:47,190
Department of Health and Human Services

1028
00:41:53,150 --> 00:41:50,550
that is the respondent in the program

1029
00:41:55,760 --> 00:41:53,160
it's a program where you don't get any

1030
00:41:57,260 --> 00:41:55,770
discovery let alone any discovery from

1031
00:42:00,400 --> 00:41:57,270
the manufacturer who would be a third

1032
00:42:03,950 --> 00:42:00,410
party at that point it was meant to be a

1033
00:42:05,600 --> 00:42:03,960
non-confrontational means of resolving

1034
00:42:08,570 --> 00:42:05,610
disputes and it really has turned into a

1035
00:42:10,580 --> 00:42:08,580
much more confrontational program it is

1036
00:42:13,490 --> 00:42:10,590
not a quick resolution it can take many

1037
00:42:15,500 --> 00:42:13,500
years we tell the story of Christina to

1038
00:42:19,060 --> 00:42:15,510
her cell and her mother Emily in the

1039
00:42:21,800 --> 00:42:19,070
book Emily had taken Christina who was a

1040
00:42:23,960 --> 00:42:21,810
brilliant scholar an incredibly talented

1041
00:42:26,420 --> 00:42:23,970
artist we have some beautiful photos in

1042
00:42:28,010 --> 00:42:26,430
the book of our work that she done and a

1043
00:42:30,080 --> 00:42:28,020
competitive tennis player she was a

1044
00:42:32,330 --> 00:42:30,090
student at bard University here in New

1045
00:42:34,580 --> 00:42:32,340
York State the family you know she'd

1046
00:42:37,130 --> 00:42:34,590
taken her to get the vaccine talked to

1047
00:42:39,770 --> 00:42:37,140
the gynecologists about it Emily's own

1048
00:42:41,360 --> 00:42:39,780
sister had passed away from uterine

1049
00:42:45,580 --> 00:42:41,370
cancer and so was concerned about

1050
00:42:50,390 --> 00:42:45,590
reproductive cancers got the vaccine and

1051
00:42:52,820 --> 00:42:50,400
after I believe the third dose Emily got

1052
00:42:54,320 --> 00:42:52,830
a knock that no parent wants on her door

1053
00:42:56,090 --> 00:42:54,330
in the middle of the night a couple of

1054
00:42:59,510 --> 00:42:56,100
weeks after Chris had gotten her shot

1055
00:43:02,240 --> 00:42:59,520
and had gone back to school it was

1056
00:43:04,080 --> 00:43:02,250
police officers telling her that Chris

1057
00:43:08,520 --> 00:43:04,090
had been found

1058
00:43:10,860 --> 00:43:08,530
in her bed and had passed away and it

1059
00:43:15,330 --> 00:43:10,870
turned out that she had passed away from

1060
00:43:17,070 --> 00:43:15,340
a cardiac issue and Emily filed in the

1061
00:43:20,100 --> 00:43:17,080
compensation program she was denied

1062
00:43:21,720 --> 00:43:20,110
initially she took that case up on

1063
00:43:24,870 --> 00:43:21,730
appeal to the federal court of claims

1064
00:43:26,550 --> 00:43:24,880
which overturned the denial it went back

1065
00:43:28,530 --> 00:43:26,560
to the compensation program for

1066
00:43:30,390 --> 00:43:28,540
reconsideration under the standards that

1067
00:43:31,980 --> 00:43:30,400
the court of claims set forth as the

1068
00:43:33,930 --> 00:43:31,990
appropriate standards and she was

1069
00:43:36,240 --> 00:43:33,940
compensated but in the compensation

1070
00:43:38,730 --> 00:43:36,250
program it's cold comfort for a family

1071
00:43:41,190 --> 00:43:38,740
who's lost a child because life is

1072
00:43:43,410 --> 00:43:41,200
valued at $250,000 in that program

1073
00:43:46,590 --> 00:43:43,420
that's the cap on what a parent can

1074
00:43:49,230 --> 00:43:46,600
receive a person who is still living and

1075
00:43:50,910 --> 00:43:49,240
severely injured the awards can be tens

1076
00:43:52,500 --> 00:43:50,920
of millions of dollars depending on the

1077
00:43:54,750 --> 00:43:52,510
injuries and the annuities that are put

1078
00:43:57,000 --> 00:43:54,760
in place to cover that person's care and

1079
00:43:59,010 --> 00:43:57,010
we see there was just a recent decision

1080
00:44:02,310 --> 00:43:59,020
that came down from a young woman who

1081
00:44:04,830 --> 00:44:02,320
again had been a vibrant healthy active

1082
00:44:07,290 --> 00:44:04,840
young woman received one injection of

1083
00:44:09,690 --> 00:44:07,300
the vaccine and developed a multiple

1084
00:44:12,390 --> 00:44:09,700
sclerosis like autoimmune denial eating

1085
00:44:16,110 --> 00:44:12,400
disorder and is in a wheelchair and will

1086
00:44:19,170 --> 00:44:16,120
require lifelong care so there are

1087
00:44:21,320 --> 00:44:19,180
really serious injuries that are being

1088
00:44:24,270 --> 00:44:21,330
compensated are being settled and

1089
00:44:28,230 --> 00:44:24,280
tragically there are deaths Chris

1090
00:44:30,840 --> 00:44:28,240
carsales is not the only case yes it is

1091
00:44:33,330 --> 00:44:30,850
quite sad and injuries are bad enough

1092
00:44:35,940 --> 00:44:33,340
but is there more to say about how

1093
00:44:39,420 --> 00:44:35,950
fertility is affected I know they didn't

1094
00:44:42,660 --> 00:44:39,430
test fertility in humans only in rats

1095
00:44:44,760 --> 00:44:42,670
with the initial clinical trials but do

1096
00:44:47,850 --> 00:44:44,770
we have any better data now or better

1097
00:44:51,060 --> 00:44:47,860
idea of how fertility is affected by

1098
00:44:54,210 --> 00:44:51,070
this vaccine well I'll start with that

1099
00:44:56,970 --> 00:44:54,220
Greg it's a delicate issue because this

1100
00:44:59,610 --> 00:44:56,980
vaccine is aimed at a virus of the

1101
00:45:02,820 --> 00:44:59,620
cervix and to suggest that this would

1102
00:45:06,030 --> 00:45:02,830
cause a fertility issue is frightening

1103
00:45:07,530 --> 00:45:06,040
and nobody would believe it right but we

1104
00:45:09,180 --> 00:45:07,540
did see from those new medical

1105
00:45:11,430 --> 00:45:09,190
conditions that we spoke of earlier that

1106
00:45:12,960 --> 00:45:11,440
10 or 12 percent of both sides both the

1107
00:45:17,040 --> 00:45:12,970
vaccine and the faceva

1108
00:45:17,609 --> 00:45:17,050
arm reported new reproductive disorders

1109
00:45:25,950 --> 00:45:17,619
so

1110
00:45:28,799 --> 00:45:25,960
when you look at the clinical trials the

1111
00:45:30,269 --> 00:45:28,809
data for let's say pregnancy that would

1112
00:45:33,509 --> 00:45:30,279
be where you would see an effect on

1113
00:45:37,109 --> 00:45:33,519
fertility and it was reported by mark

1114
00:45:38,960 --> 00:45:37,119
that 27 percent of women who became

1115
00:45:40,170 --> 00:45:38,970
pregnant after receiving the vaccine

1116
00:45:43,230 --> 00:45:40,180
miscarried

1117
00:45:45,210 --> 00:45:43,240
now that was passed off by Merck to the

1118
00:45:47,549 --> 00:45:45,220
FDA as oh it's the same as background

1119
00:45:49,650 --> 00:45:47,559
rates and alarm bells should have been

1120
00:45:51,749 --> 00:45:49,660
going off at the FDA because these were

1121
00:45:54,989 --> 00:45:51,759
women like we said before were young

1122
00:45:57,059 --> 00:45:54,999
women the average age was 20 and if they

1123
00:45:59,009 --> 00:45:57,069
inadvertently got pregnant after the

1124
00:46:01,380 --> 00:45:59,019
vaccine a normal

1125
00:46:04,499 --> 00:46:01,390
miscarriage rate in that age group is 10

1126
00:46:06,569 --> 00:46:04,509
to 15% and some studies showed even

1127
00:46:09,120 --> 00:46:06,579
lower we found a study from around that

1128
00:46:11,970 --> 00:46:09,130
time published in 1998 from a Danish

1129
00:46:15,480 --> 00:46:11,980
registry in Europe that put the rate at

1130
00:46:17,819 --> 00:46:15,490
8 to 9% but in the u.s. it's around 10%

1131
00:46:19,470 --> 00:46:17,829
so it's pretty consistent and a lot of

1132
00:46:24,660 --> 00:46:19,480
the trial participants were from the US

1133
00:46:26,609 --> 00:46:24,670
and Europe so if and again pushing it on

1134
00:46:29,279 --> 00:46:26,619
to Gardasil 9 a similar rate of

1135
00:46:31,890 --> 00:46:29,289
miscarriage was found in the garden so

1136
00:46:34,349 --> 00:46:31,900
nine trials which is what girls receive

1137
00:46:37,799 --> 00:46:34,359
and boys receive right now and it was

1138
00:46:40,170 --> 00:46:37,809
even higher in the 24 year old - 26

1139
00:46:42,269 --> 00:46:40,180
year-old age bracket it was 40 percent

1140
00:46:44,190 --> 00:46:42,279
now in the real world you don't see

1141
00:46:47,400 --> 00:46:44,200
miscarriage rates of 40 percent until

1142
00:46:50,430 --> 00:46:47,410
you're over 40 and this is known this is

1143
00:46:52,499 --> 00:46:50,440
not some conspiracy so to think that

1144
00:46:55,109 --> 00:46:52,509
there's an effect on fertility it is

1145
00:46:57,180 --> 00:46:55,119
shocking but we did also look at a study

1146
00:46:59,430 --> 00:46:57,190
from Stanford and I'll come to the CDC

1147
00:47:02,130 --> 00:46:59,440
perspective in a second there was a

1148
00:47:05,069 --> 00:47:02,140
study in Stanford a Stanford Clinic that

1149
00:47:09,120 --> 00:47:05,079
looked at premature ovarian failure in

1150
00:47:11,279 --> 00:47:09,130
teens it was before 2006 unheard of they

1151
00:47:13,769 --> 00:47:11,289
decided to look at their clinic and a

1152
00:47:16,979 --> 00:47:13,779
k-series study of their cases in the

1153
00:47:18,720 --> 00:47:16,989
clinic because they had seen cases come

1154
00:47:21,089 --> 00:47:18,730
in and they were shocked these doctors

1155
00:47:23,329 --> 00:47:21,099
were kind of shocked and they looked at

1156
00:47:28,620 --> 00:47:23,339
all cases of primary ovarian failure

1157
00:47:30,990 --> 00:47:28,630
since 1998 and they found 15 cases and

1158
00:47:32,490 --> 00:47:31,000
14 were since 2006 with

1159
00:47:35,340 --> 00:47:32,500
just the year the vaccine was approved

1160
00:47:36,960 --> 00:47:35,350
of course they did not associate these

1161
00:47:39,570 --> 00:47:36,970
cases with the vaccine nor did they

1162
00:47:41,040 --> 00:47:39,580
study it but they did say that it could

1163
00:47:42,990 --> 00:47:41,050
be an environmental factor

1164
00:47:45,240 --> 00:47:43,000
these were idiopathic cases in other

1165
00:47:47,220 --> 00:47:45,250
words there's no known cause there are

1166
00:47:49,350 --> 00:47:47,230
other cases where a cause is known but

1167
00:47:52,590 --> 00:47:49,360
these were cases of idiopathic primary

1168
00:47:54,750 --> 00:47:52,600
variant failure the CDC decided to do

1169
00:47:56,190 --> 00:47:54,760
their own study a few months ago and

1170
00:47:58,200 --> 00:47:56,200
this would be something that doctors may

1171
00:48:01,860 --> 00:47:58,210
mention in response to that but they

1172
00:48:03,810 --> 00:48:01,870
looked at cases since 2006 and didn't go

1173
00:48:06,180 --> 00:48:03,820
back prior to when the vaccine was on

1174
00:48:08,370 --> 00:48:06,190
the market so this is a whitewash of a

1175
00:48:11,190 --> 00:48:08,380
study basically just to calm everyone

1176
00:48:13,350 --> 00:48:11,200
down I think and they did find 46 cases

1177
00:48:15,330 --> 00:48:13,360
and maintained that that was not

1178
00:48:18,090 --> 00:48:15,340
statistically significant and you have

1179
00:48:20,790 --> 00:48:18,100
to ask statistically significant to whom

1180
00:48:22,650 --> 00:48:20,800
to those 46 children who developed

1181
00:48:24,930 --> 00:48:22,660
idiopathic cases the primary ovarian

1182
00:48:27,660 --> 00:48:24,940
failure following a vaccine but they

1183
00:48:29,160 --> 00:48:27,670
compared children who got Gardasil to

1184
00:48:31,680 --> 00:48:29,170
children who got other aluminum

1185
00:48:33,510 --> 00:48:31,690
containing vaccines at the same age this

1186
00:48:36,270 --> 00:48:33,520
12-year old age so this is really

1187
00:48:39,090 --> 00:48:36,280
preposterous the way that they churn out

1188
00:48:42,210 --> 00:48:39,100
studies in response to scandals as if to

1189
00:48:45,360 --> 00:48:42,220
head off the rumor at the past this is

1190
00:48:47,850 --> 00:48:45,370
what is continually done in order to put

1191
00:48:50,940 --> 00:48:47,860
these rumors to bed and if anyone with

1192
00:48:52,860 --> 00:48:50,950
any semblance of common sense read that

1193
00:48:56,190 --> 00:48:52,870
study they would say but why did you not

1194
00:48:58,050 --> 00:48:56,200
go back to 1996 for example and see what

1195
00:49:00,150 --> 00:48:58,060
primary ovarian failure rates were like

1196
00:49:01,710 --> 00:49:00,160
back then just ten years before the

1197
00:49:05,490 --> 00:49:01,720
vaccine and that's not done and it's

1198
00:49:07,650 --> 00:49:05,500
pretty basic and so you know all we have

1199
00:49:09,060 --> 00:49:07,660
to go by is look at the book and look at

1200
00:49:11,280 --> 00:49:09,070
the chapter that we talked about on

1201
00:49:13,620 --> 00:49:11,290
fertility there are two ingredients in

1202
00:49:16,890 --> 00:49:13,630
the vaccine that you know are associated

1203
00:49:18,870 --> 00:49:16,900
with infertility in rats and we tend to

1204
00:49:21,210 --> 00:49:18,880
laugh when we say well they only studied

1205
00:49:23,520 --> 00:49:21,220
the vaccine on rats they couldn't study

1206
00:49:26,610 --> 00:49:23,530
it on women of course because it would

1207
00:49:28,470 --> 00:49:26,620
be unethical but they didn't variably by

1208
00:49:30,060 --> 00:49:28,480
default have pregnant women in the

1209
00:49:32,780 --> 00:49:30,070
studies and they had to report on those

1210
00:49:36,480 --> 00:49:32,790
findings and you know finally the FDA

1211
00:49:39,000 --> 00:49:36,490
accepted that 30 percent miscarriage

1212
00:49:41,640 --> 00:49:39,010
rate in women young women is acceptable

1213
00:49:43,140 --> 00:49:41,650
so we have to ask the question the

1214
00:49:44,470 --> 00:49:43,150
evidence is stacking up and you have

1215
00:49:46,830 --> 00:49:44,480
worldwide

1216
00:49:50,770 --> 00:49:46,840
teen pregnancy rates down by 50% since

1217
00:49:53,530 --> 00:49:50,780
2006 2008 and nobody's asking what

1218
00:49:55,570 --> 00:49:53,540
environmental factors are at play we

1219
00:49:57,700 --> 00:49:55,580
don't think the vaccine is the only

1220
00:49:59,650 --> 00:49:57,710
thing but it could be you know there's

1221
00:50:02,410 --> 00:49:59,660
many other factors social media

1222
00:50:05,470 --> 00:50:02,420
attitudes or you know increased access

1223
00:50:07,599 --> 00:50:05,480
to abortion medication but until

1224
00:50:10,300 --> 00:50:07,609
somebody looks critically and medically

1225
00:50:14,230 --> 00:50:10,310
at these children for an environmental

1226
00:50:15,790 --> 00:50:14,240
factor that's a drug or this vaccine

1227
00:50:18,700 --> 00:50:15,800
that I don't think we can rule it out

1228
00:50:20,710 --> 00:50:18,710
and I'm Greg I will have to leave the

1229
00:50:22,960 --> 00:50:20,720
interview right now but I'm going to

1230
00:50:26,170 --> 00:50:22,970
leave you in the capable hands of Kim

1231
00:50:28,510 --> 00:50:26,180
Mac Rosenberg and I thank you very much

1232
00:50:30,760 --> 00:50:28,520
and I hope to talk to you again soon

1233
00:50:33,550 --> 00:50:30,770
Eileen thanks for being here and for all

1234
00:50:37,359 --> 00:50:33,560
the great information and the great book

1235
00:50:38,800 --> 00:50:37,369
take care thank you so much Kylie just

1236
00:50:40,300 --> 00:50:38,810
to build on what she said a little bit

1237
00:50:43,060 --> 00:50:40,310
about these issues of premature ovarian

1238
00:50:44,800 --> 00:50:43,070
failure and fertility issues it was also

1239
00:50:46,570 --> 00:50:44,810
very concerning to us and again we're

1240
00:50:48,070 --> 00:50:46,580
not doctors and scientists were coming

1241
00:50:52,230 --> 00:50:48,080
at it from sort of investigative

1242
00:50:54,480 --> 00:50:52,240
journalists perspective but by

1243
00:50:57,150 --> 00:50:54,490
choosing the target market of 11 to 12

1244
00:51:00,740 --> 00:50:57,160
year olds let's say 9 to 14 15 year-olds

1245
00:51:03,089 --> 00:51:00,750
you're choosing children who are either

1246
00:51:04,530 --> 00:51:03,099
prepubescent or just entering puberty

1247
00:51:08,520 --> 00:51:04,540
and their bodies are going through

1248
00:51:11,099 --> 00:51:08,530
enormous hormonal changes very different

1249
00:51:14,350 --> 00:51:11,109
than what's happening to a 16 to 26 year

1250
00:51:18,340 --> 00:51:16,450
that needs to be considered an accounted

1251
00:51:21,430 --> 00:51:18,350
for and it was tested again on very few

1252
00:51:23,770 --> 00:51:21,440
children in that age range and also at

1253
00:51:26,740 --> 00:51:23,780
that age you know young women frankly

1254
00:51:29,340 --> 00:51:26,750
may not have started menstruating yet or

1255
00:51:31,990 --> 00:51:29,350
their periods may not be very regular so

1256
00:51:35,740 --> 00:51:32,000
changes and irregularities in that

1257
00:51:37,750 --> 00:51:35,750
regard may not be apparent to anyone at

1258
00:51:40,330 --> 00:51:37,760
that time if a girl hasn't started

1259
00:51:42,579 --> 00:51:40,340
menstruating yet or it's several years

1260
00:51:44,469 --> 00:51:42,589
and then

1261
00:51:48,549 --> 00:51:44,479
as Eileen said many factors could be at

1262
00:51:50,709 --> 00:51:48,559
play but to even consider or take into

1263
00:51:52,930 --> 00:51:50,719
account the possible role of the vaccine

1264
00:51:56,700 --> 00:51:52,940
if it's not realized till many years

1265
00:51:59,170 --> 00:51:56,710
later that this young woman has perhaps

1266
00:52:01,690 --> 00:51:59,180
primary ovarian failure or some other

1267
00:52:04,989 --> 00:52:01,700
fertility related issues or menstrual

1268
00:52:08,019 --> 00:52:04,999
issues time goes by and you may not even

1269
00:52:09,430 --> 00:52:08,029
recall that she got that vaccine or that

1270
00:52:10,779 --> 00:52:09,440
maybe you noticed things or didn't

1271
00:52:12,339 --> 00:52:10,789
notice things because she was so young

1272
00:52:14,620 --> 00:52:12,349
when she got it they could have an

1273
00:52:16,359 --> 00:52:14,630
impact down the road and again that's

1274
00:52:17,920 --> 00:52:16,369
just a question that we raised because

1275
00:52:21,579 --> 00:52:17,930
we do think it's important to look at

1276
00:52:25,660 --> 00:52:21,589
that and to remember that you know young

1277
00:52:29,319 --> 00:52:25,670
children are very different than older

1278
00:52:31,839 --> 00:52:29,329
teens and young adults and we know that

1279
00:52:32,979 --> 00:52:31,849
for example just looking and Eileen

1280
00:52:36,549 --> 00:52:32,989
touched on this at the immune response

1281
00:52:38,200 --> 00:52:36,559
of the young children compared to the 16

1282
00:52:40,779 --> 00:52:38,210
to 23 year olds in that bridging study

1283
00:52:42,400 --> 00:52:40,789
she talked about the immune responses of

1284
00:52:45,489 --> 00:52:42,410
the younger children the nine to fifteen

1285
00:52:47,319 --> 00:52:45,499
year olds were substantially higher both

1286
00:52:49,719 --> 00:52:47,329
in that half dose of aluminum group and

1287
00:52:53,069 --> 00:52:49,729
the full dose of aluminum group compared

1288
00:52:55,660 --> 00:52:53,079
to sixteen to twenty three year olds and

1289
00:52:57,880 --> 00:52:55,670
that's taken as a good thing that these

1290
00:53:00,940 --> 00:52:57,890
children are having a more robust immune

1291
00:53:02,499 --> 00:53:00,950
response but is it necessarily a good

1292
00:53:04,509 --> 00:53:02,509
thing because with that robust immune

1293
00:53:06,370 --> 00:53:04,519
response can come more negative

1294
00:53:08,849 --> 00:53:06,380
reactions as well because you're priming

1295
00:53:11,950 --> 00:53:08,859
the immune system to fight something

1296
00:53:13,479 --> 00:53:11,960
mm-hmm yes and those are great points

1297
00:53:17,019 --> 00:53:13,489
and that's kind of what stuck out to me

1298
00:53:19,299 --> 00:53:17,029
about giving it to younger girls is

1299
00:53:22,299 --> 00:53:19,309
because if the name of the game is

1300
00:53:25,089 --> 00:53:22,309
obscuring the dangers and the damage

1301
00:53:27,400 --> 00:53:25,099
that were kind of picked up on in some

1302
00:53:29,739 --> 00:53:27,410
of these clinical trials instead of

1303
00:53:32,349 --> 00:53:29,749
confessing and fessing up to those red

1304
00:53:34,630 --> 00:53:32,359
flags you just move the age back because

1305
00:53:37,269 --> 00:53:34,640
obviously as you said the puberty

1306
00:53:39,819 --> 00:53:37,279
process creates all kinds of changes in

1307
00:53:41,650 --> 00:53:39,829
the body so it creates a lot of cover to

1308
00:53:43,329 --> 00:53:41,660
say well that could have been something

1309
00:53:44,410 --> 00:53:43,339
else that could have been a naturally

1310
00:53:46,120 --> 00:53:44,420
occurring we don't know how they were

1311
00:53:48,729 --> 00:53:46,130
going to develop because you're

1312
00:53:50,739 --> 00:53:48,739
injecting them before that happens and

1313
00:53:52,359 --> 00:53:50,749
that's I mean I don't know we can't talk

1314
00:53:54,009 --> 00:53:52,369
about motives but it sounds like a dirty

1315
00:53:56,020 --> 00:53:54,019
trick to me I mean especially when you

1316
00:53:58,870 --> 00:53:56,030
add in the stuff we've already talked to

1317
00:54:01,300 --> 00:53:58,880
and I know we're getting down to it the

1318
00:54:03,940 --> 00:54:01,310
one last thing I wanted to broach here

1319
00:54:07,510 --> 00:54:03,950
was I wanted to touch on this component

1320
00:54:09,220 --> 00:54:07,520
of the book about Vioxx I found this to

1321
00:54:12,970 --> 00:54:09,230
be pretty interesting and telling but

1322
00:54:15,700 --> 00:54:12,980
why is Vioxx important to the Gardasil

1323
00:54:18,730 --> 00:54:15,710
story so Vioxx is important to the

1324
00:54:23,200 --> 00:54:18,740
Gardasil story for a few reasons one is

1325
00:54:27,250 --> 00:54:23,210
that merck was embroiled sort of in the

1326
00:54:29,260 --> 00:54:27,260
Vioxx scandal at this time and you know

1327
00:54:31,930 --> 00:54:29,270
there's the colloquial sort of inside

1328
00:54:35,710 --> 00:54:31,940
joke that HPV stands for help pay for

1329
00:54:38,530 --> 00:54:35,720
Vioxx but Merck had to pay substantial

1330
00:54:41,260 --> 00:54:38,540
fines as a result of the Vioxx clinical

1331
00:54:43,330 --> 00:54:41,270
trial fraud the data showed that Vioxx

1332
00:54:47,380 --> 00:54:43,340
was causing very serious health issues

1333
00:54:49,270 --> 00:54:47,390
and that data was manipulated and not

1334
00:54:51,040 --> 00:54:49,280
disclosed in the manner that it should

1335
00:54:54,070 --> 00:54:51,050
have been and as a result that drug was

1336
00:54:56,230 --> 00:54:54,080
approved it went to market and hundreds

1337
00:54:58,080 --> 00:54:56,240
of thousands of people suffered very

1338
00:55:01,780 --> 00:54:58,090
very serious injuries

1339
00:55:04,630 --> 00:55:01,790
so that was an expensive proposition for

1340
00:55:07,570 --> 00:55:04,640
Merck so it was important that Merck had

1341
00:55:10,120 --> 00:55:07,580
something on the burner that it could

1342
00:55:14,080 --> 00:55:10,130
bring out and HPV infections are

1343
00:55:16,420 --> 00:55:14,090
something that most people get most

1344
00:55:18,120 --> 00:55:16,430
people never know they have them because

1345
00:55:21,730 --> 00:55:18,130
they tend to be completely asymptomatic

1346
00:55:24,100 --> 00:55:21,740
and as we said earlier over 90% of them

1347
00:55:25,810 --> 00:55:24,110
resolved on their own but you've

1348
00:55:29,620 --> 00:55:25,820
essentially got a market of almost all

1349
00:55:32,830 --> 00:55:29,630
adults in America at that point and in

1350
00:55:34,000 --> 00:55:32,840
other countries for this vaccine and you

1351
00:55:35,440 --> 00:55:34,010
know in the developing world where

1352
00:55:37,840 --> 00:55:35,450
cervical disease and cervical cancer

1353
00:55:40,300 --> 00:55:37,850
death are very very serious issues a

1354
00:55:43,310 --> 00:55:40,310
potential market there as Eileen said it

1355
00:55:45,500 --> 00:55:43,320
really hasn't worked that way

1356
00:55:47,270 --> 00:55:45,510
the countries where the rates are the

1357
00:55:51,980 --> 00:55:47,280
highest tend to not be the countries who

1358
00:55:53,360 --> 00:55:51,990
have programs in place so we could talk

1359
00:55:55,040 --> 00:55:53,370
about that and it's the countries where

1360
00:55:57,290 --> 00:55:55,050
you know like the United States where

1361
00:55:59,180 --> 00:55:57,300
you're at a very low risk of developing

1362
00:56:01,030 --> 00:55:59,190
cervical cancer that you have higher

1363
00:56:04,970 --> 00:56:01,040
uptake and then in countries like

1364
00:56:06,980 --> 00:56:04,980
Australia and the UK and Ireland where

1365
00:56:10,310 --> 00:56:06,990
there are school-based programs uptake

1366
00:56:12,080 --> 00:56:10,320
is even higher almost everyone gets them

1367
00:56:14,780 --> 00:56:12,090
in some of those countries in Ireland

1368
00:56:17,240 --> 00:56:14,790
following a whole series of injuries and

1369
00:56:19,040 --> 00:56:17,250
publicity surrounding those that the

1370
00:56:22,010 --> 00:56:19,050
vaccination rates actually dropped

1371
00:56:24,140 --> 00:56:22,020
significantly but in other countries I

1372
00:56:27,170 --> 00:56:24,150
think Eileen mentioned the UK where you

1373
00:56:30,800 --> 00:56:27,180
know uptake is in the 80 or 90 percent

1374
00:56:34,040 --> 00:56:30,810
range you know you have a huge worldwide

1375
00:56:36,620 --> 00:56:34,050
market for this vaccine because nearly

1376
00:56:43,160 --> 00:56:36,630
everyone will be exposed to HPV in their

1377
00:56:45,320 --> 00:56:43,170
lifetime it's it's it's overwhelming you

1378
00:56:48,020 --> 00:56:45,330
know it's really really sad and I do

1379
00:56:48,620 --> 00:56:48,030
appreciate you spending the two hours

1380
00:56:52,160 --> 00:56:48,630
with me

1381
00:56:54,380 --> 00:56:52,170
big thanks to Eileen as well for being

1382
00:56:55,910 --> 00:56:54,390
here as long as she could it's very sad

1383
00:56:57,830 --> 00:56:55,920
and frustrating this sort of stuff

1384
00:57:00,290 --> 00:56:57,840
happens but you ladies really are

1385
00:57:01,760 --> 00:57:00,300
beacons of light in the darkness and I

1386
00:57:04,610 --> 00:57:01,770
really love that you're out there

1387
00:57:08,120 --> 00:57:04,620
fighting back again the book is amazing

1388
00:57:10,550 --> 00:57:08,130
the HPV vaccine on trial seeking justice

1389
00:57:12,560 --> 00:57:10,560
for a generation betrayed is there

1390
00:57:14,750 --> 00:57:12,570
anything else we should maybe tell

1391
00:57:16,700 --> 00:57:14,760
people about staying informed or

1392
00:57:18,520 --> 00:57:16,710
following any other work you're going to

1393
00:57:19,930 --> 00:57:18,530
be putting out

1394
00:57:22,240 --> 00:57:19,940
well we're still trying to get the word

1395
00:57:24,730 --> 00:57:22,250
out about this one what's in it that's

1396
00:57:26,860 --> 00:57:24,740
uh one thing at a time so we encourage

1397
00:57:29,350 --> 00:57:26,870
people to not only get the book and read

1398
00:57:30,820 --> 00:57:29,360
it for themselves but to buy a copy for

1399
00:57:31,690 --> 00:57:30,830
their doctor because we just know

1400
00:57:38,470 --> 00:57:31,700
anecdotally

1401
00:57:42,340 --> 00:57:38,480
in talking to physicians that a lot of

1402
00:57:44,160 --> 00:57:42,350
them aren't aware of the flaws for

1403
00:57:47,740 --> 00:57:44,170
example in the clinical trial process

1404
00:57:49,240 --> 00:57:47,750
with his vaccine in particular you know

1405
00:57:50,530 --> 00:57:49,250
we know that sometimes you say to a

1406
00:57:53,410 --> 00:57:50,540
doctor well you know there was no

1407
00:57:54,820 --> 00:57:53,420
placebo but there was no saline placebo

1408
00:57:56,470 --> 00:57:54,830
and they say of course there was there

1409
00:58:00,100 --> 00:57:56,480
always saline placebos in the clinical

1410
00:58:02,380 --> 00:58:00,110
trials you say well no actually there

1411
00:58:04,000 --> 00:58:02,390
weren't and I can show you the documents

1412
00:58:07,330 --> 00:58:04,010
from the government and from Merck that

1413
00:58:09,850 --> 00:58:07,340
show that that's often an opportunity I

1414
00:58:13,120 --> 00:58:09,860
have found and I know others have found

1415
00:58:15,400 --> 00:58:13,130
to really start a conversation because

1416
00:58:20,830 --> 00:58:15,410
something like that is often shocking

1417
00:58:22,960 --> 00:58:20,840
for doctors and they'll say okay what

1418
00:58:26,100 --> 00:58:22,970
else went on in the clinical trial

1419
00:58:32,250 --> 00:58:26,110
tell me more right it opens the door and

1420
00:58:35,140 --> 00:58:32,260
because we relied so much on the

1421
00:58:37,900 --> 00:58:35,150
documents from the FDA and from the EMA

1422
00:58:39,820 --> 00:58:37,910
and the Merck information that's

1423
00:58:42,610 --> 00:58:39,830
incorporated into the clinical reviews

1424
00:58:44,650 --> 00:58:42,620
in the FDA and the memos that Merck

1425
00:58:48,760 --> 00:58:44,660
submitted to FDA in their testimony to

1426
00:58:51,970 --> 00:58:48,770
FDA and the underlying science about HPV

1427
00:58:54,940 --> 00:58:51,980
infections and cervical disease and

1428
00:58:57,310 --> 00:58:54,950
other things from you know doctors the

1429
00:58:58,960 --> 00:58:57,320
National Cancer Institute and similar

1430
00:59:04,420 --> 00:58:58,970
scientists you know this very mainstream

1431
00:59:07,540 --> 00:59:04,430
very credible research that shows the

1432
00:59:10,180 --> 00:59:07,550
flaws in this whole process and then you

1433
00:59:12,400 --> 00:59:10,190
know the stories that are out there that

1434
00:59:14,200 --> 00:59:12,410
show what's happened since the vaccine

1435
00:59:16,000 --> 00:59:14,210
has gone to market and since the

1436
00:59:17,980 --> 00:59:16,010
marketing campaigns and the school-based

1437
00:59:20,260 --> 00:59:17,990
campaigns that are exposing so many kids

1438
00:59:22,690 --> 00:59:20,270
to these vaccines and then seeing the

1439
00:59:24,460 --> 00:59:22,700
children and young adults who have been

1440
00:59:25,840 --> 00:59:24,470
injured following vaccination

1441
00:59:27,610 --> 00:59:25,850
you know the book is sort of an

1442
00:59:29,380 --> 00:59:27,620
emotional roller coaster to me even in

1443
00:59:31,700 --> 00:59:29,390
writing and rereading it at various

1444
00:59:33,650 --> 00:59:31,710
times yeah you go from the hard

1445
00:59:36,349 --> 00:59:33,660
ion's and these deep dive into aluminum

1446
00:59:39,859 --> 00:59:36,359
and the toll-like receptor agonists and

1447
00:59:42,260 --> 00:59:39,869
clinical trial data to the real world

1448
00:59:44,660 --> 00:59:42,270
stories of what's happening around the

1449
00:59:47,510 --> 00:59:44,670
world in Colombia and Carmen de Bolivar

1450
00:59:50,930 --> 00:59:47,520
were hundreds of girls in one town were

1451
00:59:52,910 --> 00:59:50,940
injured by the Gardasil vaccine to India

1452
00:59:54,410 --> 00:59:52,920
where those families were not able to

1453
00:59:56,900 --> 00:59:54,420
give true informed consent and girls

1454
00:59:59,329 --> 00:59:56,910
died in these demonstration projects to

1455
01:00:03,020 --> 00:59:59,339
families here around the United States

1456
01:00:05,839 --> 01:00:03,030
and elsewhere who have been injured it

1457
01:00:08,450 --> 01:00:05,849
brings all that science sort of home in

1458
01:00:11,240 --> 01:00:08,460
a very real-world way that I think is

1459
01:00:14,030 --> 01:00:11,250
compelling for readers and you know we

1460
01:00:18,740 --> 01:00:14,040
know that one of the challenges here

1461
01:00:20,839 --> 01:00:18,750
with connecting injury to the vaccine

1462
01:00:23,000 --> 01:00:20,849
where it's appropriate to do so is that

1463
01:00:26,750 --> 01:00:23,010
a lot of doctors don't know how to

1464
01:00:28,520 --> 01:00:26,760
recognize vaccine injury so we also

1465
01:00:30,380 --> 01:00:28,530
point doctors towards some literature

1466
01:00:33,470 --> 01:00:30,390
here so there's literature here the

1467
01:00:36,620 --> 01:00:33,480
doctors can look to again not a doctor

1468
01:00:38,109 --> 01:00:36,630
but we have spoken to doctors and have

1469
01:00:40,400 --> 01:00:38,119
found published peer-reviewed literature

1470
01:00:42,290 --> 01:00:40,410
that talks about what these vaccine

1471
01:00:45,260 --> 01:00:42,300
injuries look like and the mechanisms of

1472
01:00:47,660 --> 01:00:45,270
the injuries and we hope that that will

1473
01:00:49,490 --> 01:00:47,670
be helpful for doctors who are treating

1474
01:00:52,700 --> 01:00:49,500
girls and boys who are coming to them

1475
01:00:54,890 --> 01:00:52,710
with a myriad of unusual symptoms in

1476
01:00:56,839 --> 01:00:54,900
many cases trying to connect the dots

1477
01:00:58,790 --> 01:00:56,849
and figuring out what happened to this

1478
01:01:00,470 --> 01:00:58,800
child and then you know where do you go

1479
01:01:03,410 --> 01:01:00,480
from there and how do you treat them and

1480
01:01:04,940 --> 01:01:03,420
how can you hopefully help to get some

1481
01:01:08,750 --> 01:01:04,950
improvements in their quality of health

1482
01:01:11,020 --> 01:01:08,760
and quality of life going forward well I

1483
01:01:13,910 --> 01:01:11,030
do think it's an amazing book and as a

1484
01:01:15,500 --> 01:01:13,920
quintessential lay man I can't think of

1485
01:01:18,200 --> 01:01:15,510
a way that it could be laid out any

1486
01:01:21,349 --> 01:01:18,210
better it leads even the most skeptical

1487
01:01:25,070 --> 01:01:21,359
to a pretty ironclad case that something

1488
01:01:27,260 --> 01:01:25,080
is not right so Kim and company brave

1489
01:01:30,230 --> 01:01:27,270
and noble stuff you're doing thanks

1490
01:01:32,540 --> 01:01:30,240
again keep it up and continue to do

1491
01:01:36,140 --> 01:01:32,550
great work well thank you very much and

1492
01:01:39,079 --> 01:01:36,150
thank you for having us on you got it

1493
01:01:41,120 --> 01:01:39,089
alright alright higher side shutters I

1494
01:01:43,219 --> 01:01:41,130
hope everybody had a good holiday I hope

1495
01:01:45,799 --> 01:01:43,229
everybody enjoyed bird box and I hope

1496
01:01:48,709 --> 01:01:45,809
you liked today's show it checks a lot

1497
01:01:51,049 --> 01:01:48,719
of boxes for me number one I just think

1498
01:01:53,329 --> 01:01:51,059
it's nice to have a female centric

1499
01:01:55,699 --> 01:01:53,339
medical conspiracy episode right after a

1500
01:01:58,489 --> 01:01:55,709
circumcision episode for the guys just a

1501
01:02:01,069 --> 01:01:58,499
nice equilibrium for the month it's also

1502
01:02:03,289 --> 01:02:01,079
always a treat to have two guests it

1503
01:02:05,420 --> 01:02:03,299
adds a layer of complexity and audio

1504
01:02:07,670 --> 01:02:05,430
quality and editing and all that but it

1505
01:02:09,890 --> 01:02:07,680
is a little something extra that is nice

1506
01:02:13,279 --> 01:02:09,900
to see on THC once in a while so that's

1507
01:02:15,170 --> 01:02:13,289
fun and also the caliber of guests they

1508
01:02:17,809 --> 01:02:15,180
definitely have done the research and

1509
01:02:19,819 --> 01:02:17,819
produced a real ironclad case against

1510
01:02:22,130 --> 01:02:19,829
this particular vaccine you know not all

1511
01:02:24,199 --> 01:02:22,140
vaccines but definitely this one and

1512
01:02:26,089 --> 01:02:24,209
that's kind of what I was trying to say

1513
01:02:28,640 --> 01:02:26,099
in the beginning about the way this kind

1514
01:02:30,890 --> 01:02:28,650
of information is sometimes presented in

1515
01:02:32,900 --> 01:02:30,900
that over-the-top new world order kind

1516
01:02:34,729 --> 01:02:32,910
of way and I'm not even trying to

1517
01:02:36,319 --> 01:02:34,739
suggest that they don't know what

1518
01:02:38,449 --> 01:02:36,329
they're doing or that's not actually the

1519
01:02:41,630 --> 01:02:38,459
case but it's about tonality and

1520
01:02:43,309 --> 01:02:41,640
convincing new people because lately I

1521
01:02:46,759 --> 01:02:43,319
am of the mindset of trying to increase

1522
01:02:48,979 --> 01:02:46,769
our general numbers and break through

1523
01:02:51,799 --> 01:02:48,989
the false sense of security people get

1524
01:02:54,199 --> 01:02:51,809
in organizations like the CDC or the FDA

1525
01:02:57,469 --> 01:02:54,209
and I've tried to structure this show

1526
01:03:01,789 --> 01:02:57,479
the same sort of way that someone who is

1527
01:03:04,160 --> 01:03:01,799
maybe very Pro vaccine could listen to

1528
01:03:07,400 --> 01:03:04,170
it and we can at least get through to

1529
01:03:09,829 --> 01:03:07,410
them about this one case and if that's

1530
01:03:13,309 --> 01:03:09,839
true I think you have to conclude that

1531
01:03:15,229 --> 01:03:13,319
the whole thing is suspect I also tried

1532
01:03:17,630 --> 01:03:15,239
to ask some pretty deep questions

1533
01:03:19,880 --> 01:03:17,640
related to those wider implications as

1534
01:03:22,609 --> 01:03:19,890
well I think it was in the Plus show

1535
01:03:25,729 --> 01:03:22,619
when it was just me and Kim but I set it

1536
01:03:27,589 --> 01:03:25,739
up as saying these people are not new to

1537
01:03:30,289 --> 01:03:27,599
statistics and gathering data these are

1538
01:03:32,719 --> 01:03:30,299
the world's elite level scientists and

1539
01:03:35,089 --> 01:03:32,729
medical experts and knowing that and

1540
01:03:37,669 --> 01:03:35,099
having gone over the data manipulation

1541
01:03:40,910 --> 01:03:37,679
and obscura fication and fraud that

1542
01:03:43,519 --> 01:03:40,920
exists within these trials if we had a

1543
01:03:47,660 --> 01:03:43,529
thought exercise here where a nefarious

1544
01:03:49,920 --> 01:03:47,670
few wanted to poison kill sterilize etc

1545
01:03:52,890 --> 01:03:49,930
an entire population or

1546
01:03:55,200 --> 01:03:52,900
narration yet the world is a big place

1547
01:03:57,359 --> 01:03:55,210
and we have safety testing in place and

1548
01:03:59,309 --> 01:03:57,369
we have this long process with certain

1549
01:04:01,890 --> 01:03:59,319
requirements to get something to market

1550
01:04:03,660 --> 01:04:01,900
hoops that must be gone through before

1551
01:04:07,770 --> 01:04:03,670
you can gain access to millions of

1552
01:04:09,150 --> 01:04:07,780
people if a nefarious few knew they

1553
01:04:12,000 --> 01:04:09,160
would have to navigate that terrain

1554
01:04:16,200 --> 01:04:12,010
skillfully when their intention was to

1555
01:04:19,079 --> 01:04:16,210
hurt us how might you suspect it would

1556
01:04:22,319 --> 01:04:19,089
look different from what we actually see

1557
01:04:23,880 --> 01:04:22,329
in this data to me that was my best

1558
01:04:25,920 --> 01:04:23,890
question today and again another

1559
01:04:28,650 --> 01:04:25,930
parallel to Brendon Murata's

1560
01:04:30,359 --> 01:04:28,660
circumcision show in both cases these

1561
01:04:32,450 --> 01:04:30,369
are guests that want to stick to the

1562
01:04:35,579 --> 01:04:32,460
facts and would rather not get into

1563
01:04:38,309 --> 01:04:35,589
capstone cabal secret agenda speculation

1564
01:04:41,010 --> 01:04:38,319
territory and I absolutely get that and

1565
01:04:43,620 --> 01:04:41,020
I think it's what they should do I think

1566
01:04:46,559 --> 01:04:43,630
it's better if my role as a host is just

1567
01:04:49,290 --> 01:04:46,569
a tiptoe into those waters because I do

1568
01:04:51,780 --> 01:04:49,300
like these episodes to constantly

1569
01:04:54,450 --> 01:04:51,790
reinforce our worldview in an

1570
01:04:57,120 --> 01:04:54,460
intellectual way and I like to use these

1571
01:04:58,940 --> 01:04:57,130
things to constantly rebuild and

1572
01:05:02,490 --> 01:04:58,950
strengthen our overarching

1573
01:05:04,710 --> 01:05:02,500
conspiratorial perspective that if we

1574
01:05:08,339 --> 01:05:04,720
have all these agencies signing off on

1575
01:05:11,190 --> 01:05:08,349
this dangerous HPV vaccine what does

1576
01:05:12,930 --> 01:05:11,200
that say about their integrity overall

1577
01:05:16,589 --> 01:05:12,940
and what does that say about their

1578
01:05:20,579 --> 01:05:16,599
intentions is it consistent with some of

1579
01:05:22,349 --> 01:05:20,589
the wildest claims about them and if we

1580
01:05:24,240 --> 01:05:22,359
just made the case that these agencies

1581
01:05:26,579 --> 01:05:24,250
and companies can't be trusted at all

1582
01:05:28,200 --> 01:05:26,589
across all the products that they make

1583
01:05:30,020 --> 01:05:28,210
and all the recommendations that they

1584
01:05:33,210 --> 01:05:30,030
make and the testing that they do if

1585
01:05:35,809 --> 01:05:33,220
this is all untrustworthy which i think

1586
01:05:38,370 --> 01:05:35,819
is the case then we're in deep

1587
01:05:40,230 --> 01:05:38,380
conspiracy land because you also have to

1588
01:05:42,900 --> 01:05:40,240
look at why they would have these

1589
01:05:45,120 --> 01:05:42,910
special isolated courts set up why

1590
01:05:48,150 --> 01:05:45,130
Eileen and Kim are able to figure all

1591
01:05:51,180 --> 01:05:48,160
this out and identify these issues and

1592
01:05:53,450 --> 01:05:51,190
our larger system just doesn't just

1593
01:05:56,640 --> 01:05:53,460
can't I don't know

1594
01:05:59,220 --> 01:05:56,650
again how is what is happening in this

1595
01:06:01,289 --> 01:05:59,230
case functionally different then an

1596
01:06:05,490 --> 01:06:01,299
attack on the people which needs to be

1597
01:06:07,530 --> 01:06:05,500
thinly veiled as safe another way of

1598
01:06:10,230 --> 01:06:07,540
getting at this again I think a question

1599
01:06:12,809 --> 01:06:10,240
in the plus show sorry but I said

1600
01:06:14,370 --> 01:06:12,819
something to the effect of I get that

1601
01:06:16,530 --> 01:06:14,380
there's a lot of money involved and we

1602
01:06:19,710 --> 01:06:16,540
can say that it's greed and general

1603
01:06:21,630 --> 01:06:19,720
capitalist corruption okay but that

1604
01:06:24,510 --> 01:06:21,640
would be true even if they were

1605
01:06:27,480 --> 01:06:24,520
injecting people with something benign

1606
01:06:30,120 --> 01:06:27,490
or mundane like saline solution and just

1607
01:06:32,430 --> 01:06:30,130
calling it a vaccine anything

1608
01:06:34,710 --> 01:06:32,440
ineffective could be a money-making

1609
01:06:37,680 --> 01:06:34,720
machine but this isn't just ineffective

1610
01:06:41,010 --> 01:06:37,690
it's harmful and deadly it seems to be

1611
01:06:42,539 --> 01:06:41,020
crushing fertility rates so I look at

1612
01:06:44,069 --> 01:06:42,549
the end results and then I speculate

1613
01:06:45,720 --> 01:06:44,079
about motive because I think these

1614
01:06:46,289 --> 01:06:45,730
people are getting exactly what they

1615
01:06:48,780 --> 01:06:46,299
want

1616
01:06:51,270 --> 01:06:48,790
like we said world's best scientific

1617
01:06:52,980 --> 01:06:51,280
minds and medical experts they've seen

1618
01:06:55,589 --> 01:06:52,990
the same clinical trials they carried

1619
01:06:57,690 --> 01:06:55,599
him out and they twisted it to hide what

1620
01:07:00,510 --> 01:06:57,700
they knew was gonna happen when they

1621
01:07:02,760 --> 01:07:00,520
mainstreamed this and isn't it funny

1622
01:07:05,579 --> 01:07:02,770
then we don't have any of these stories

1623
01:07:08,430 --> 01:07:05,589
where they say breaking news we just

1624
01:07:10,349 --> 01:07:08,440
found out the HPV vaccine or the flu

1625
01:07:12,960 --> 01:07:10,359
shot is not as effective as we thought

1626
01:07:15,120 --> 01:07:12,970
it was but you will experience and

1627
01:07:17,520 --> 01:07:15,130
overall strengthening of your general

1628
01:07:19,319 --> 01:07:17,530
immune system you should see a 20%

1629
01:07:22,319 --> 01:07:19,329
reduction in stress and you'd have a

1630
01:07:23,010 --> 01:07:22,329
slight lift and cognitive fog etc you

1631
01:07:26,030 --> 01:07:23,020
know what I'm saying

1632
01:07:28,500 --> 01:07:26,040
it's never good side effects ever if

1633
01:07:30,059 --> 01:07:28,510
Merck tried to create a vaccine and

1634
01:07:32,280 --> 01:07:30,069
because of the complexity of these

1635
01:07:33,509 --> 01:07:32,290
things it just wasn't the super defense

1636
01:07:35,039 --> 01:07:33,519
we thought it was

1637
01:07:37,559 --> 01:07:35,049
but it still had some benefits that

1638
01:07:40,499 --> 01:07:37,569
would be one thing but where is that

1639
01:07:42,870 --> 01:07:40,509
example it's like I've said about

1640
01:07:44,159 --> 01:07:42,880
fluoride for a long time okay so you

1641
01:07:45,329 --> 01:07:44,169
don't want to believe that it's poison

1642
01:07:47,399 --> 01:07:45,339
that's fine

1643
01:07:49,439 --> 01:07:47,409
well why just something to strengthen

1644
01:07:51,779 --> 01:07:49,449
teeth why not just put vitamins and

1645
01:07:54,239 --> 01:07:51,789
minerals in the water supply something

1646
01:07:56,279 --> 01:07:54,249
completely non-controversial and

1647
01:07:57,620 --> 01:07:56,289
universally good for the body why not do

1648
01:07:59,720 --> 01:07:57,630
that

1649
01:08:01,340 --> 01:07:59,730
and I'm trying to stay a bit measured

1650
01:08:03,440 --> 01:08:01,350
here I don't want to go full Alex Jones

1651
01:08:05,480 --> 01:08:03,450
I want to maintain the overall tone of

1652
01:08:07,040 --> 01:08:05,490
the guests and maybe just kick it up a

1653
01:08:10,370 --> 01:08:07,050
notch or two without tipping over the

1654
01:08:12,200 --> 01:08:10,380
whole boat but seriously these are the

1655
01:08:13,700 --> 01:08:12,210
ways to get the mental wheels turning

1656
01:08:16,450 --> 01:08:13,710
for people who still aren't there yet

1657
01:08:18,410 --> 01:08:16,460
I'm not trying to paint this as

1658
01:08:20,030 --> 01:08:18,420
conspiracy because it's fun and

1659
01:08:23,390 --> 01:08:20,040
provocative and I just want everyone to

1660
01:08:24,830 --> 01:08:23,400
think like me I'm saying as objectively

1661
01:08:27,260 --> 01:08:24,840
as I can at this point which is a

1662
01:08:31,220 --> 01:08:27,270
struggle I don't know how to see it any

1663
01:08:34,160 --> 01:08:31,230
other way so there it is all good stuff

1664
01:08:35,750 --> 01:08:34,170
that's the show I work hard to try and

1665
01:08:37,970 --> 01:08:35,760
bring you the best if you enjoy it

1666
01:08:40,430 --> 01:08:37,980
please sign up for THC plus and get

1667
01:08:43,610 --> 01:08:40,440
yourself two uninterrupted hours of the

1668
01:08:46,190 --> 01:08:43,620
show in this one the Plus show covered

1669
01:08:48,760 --> 01:08:46,200
some of the latest research on aluminum

1670
01:08:50,900 --> 01:08:48,770
and other adjuvant used in vaccines

1671
01:08:53,240 --> 01:08:50,910
countries who are resisting and

1672
01:08:56,330 --> 01:08:53,250
rejecting the HPV vaccine and their

1673
01:08:58,220 --> 01:08:56,340
individual stories other legal and

1674
01:09:00,650 --> 01:08:58,230
financial elements that demonstrate

1675
01:09:04,040 --> 01:09:00,660
tilted scales and conflicts of interest

1676
01:09:07,250 --> 01:09:04,050
and another interesting story of doctor

1677
01:09:09,170 --> 01:09:07,260
Lee and his findings on the live HPV

1678
01:09:11,060 --> 01:09:09,180
virus in the vaccine despite what was

1679
01:09:14,870 --> 01:09:11,070
being said about it and we talked about

1680
01:09:17,930 --> 01:09:14,880
GMO DNA in the vaccines and stuff like

1681
01:09:20,000 --> 01:09:17,940
that so more than enough to make it

1682
01:09:22,580 --> 01:09:20,010
worth it by my standard but we're all

1683
01:09:24,980 --> 01:09:22,590
different major thanks to my guests kim

1684
01:09:27,620 --> 01:09:24,990
and eileen find them on social media and

1685
01:09:31,070 --> 01:09:27,630
tell them thanks one more show for the

1686
01:09:32,960 --> 01:09:31,080
year and then in 2019 i'm thinking of

1687
01:09:35,300 --> 01:09:32,970
sticking with my plan to change the

1688
01:09:38,420 --> 01:09:35,310
theme song yearly I think we're gonna

1689
01:09:41,450 --> 01:09:38,430
reinvent the original THC intro and use

1690
01:09:43,670 --> 01:09:41,460
that for a while not sure which one you

1691
01:09:46,280 --> 01:09:43,680
guys really like better my old original

1692
01:09:48,400 --> 01:09:46,290
radio voiceover or this latest song that

1693
01:09:51,460 --> 01:09:48,410
I guess we should call where would we be

1694
01:09:53,450 --> 01:09:51,470
which we've had two versions of now

1695
01:09:55,160 --> 01:09:53,460
obviously this is a very important

1696
01:09:58,400 --> 01:09:55,170
decision that I'm gonna mull over for

1697
01:10:00,190 --> 01:09:58,410
the next five days but I have options so

1698
01:10:02,960 --> 01:10:00,200
maybe let me know which one you'd rather

1699
01:10:05,660 --> 01:10:02,970
have ringing you into the higher side

1700
01:10:07,610 --> 01:10:05,670
before a show because I'm kind of

1701
01:10:09,310 --> 01:10:07,620
curious but either way I do like

1702
01:10:10,870 --> 01:10:09,320
changing it up

1703
01:10:13,090 --> 01:10:10,880
and that said I'm gonna get out of here

1704
01:10:16,060 --> 01:10:13,100
seems like we made a pretty complete

1705
01:10:18,730 --> 01:10:16,070
case today so I did my part

1706
01:10:22,090 --> 01:10:18,740
your move Medical miscreants scientist

1707
01:10:28,930 --> 01:10:22,100
sleaze balls and harm doing doctors your

1708
01:10:29,920 --> 01:10:28,940
if it's alright I'll keep my

1709
01:10:33,010 --> 01:10:29,930
refuge

1710
01:10:35,950 --> 01:10:33,020
I would seem it a bigger things and have

1711
01:10:43,780 --> 01:10:35,960
to leave my old life behind got a

1712
01:10:46,020 --> 01:10:43,790
transfer to the built a box builder now

1713
01:10:58,480 --> 01:10:46,030
you'll find me in the bunker

1714
01:11:04,520 --> 01:11:01,459
take it

1715
01:11:07,170 --> 01:11:04,530
in the manga welcome

1716
01:11:16,050 --> 01:11:07,180
[Music]

1717
01:11:18,900 --> 01:11:16,060
find me in a bunker banka banka yeah the

1718
01:11:21,840 --> 01:11:18,910
last thing a li classes while the

1719
01:11:27,210 --> 01:11:21,850
screaming on the masses who do you think

1720
01:11:30,240 --> 01:11:27,220
they are fancy see you Lana say God tell

1721
01:11:31,680 --> 01:11:30,250
you the basics they print your money got

1722
01:11:35,220 --> 01:11:31,690
the Fed in your head

1723
01:11:38,200 --> 01:11:35,230
currency now the smiling under cage me

1724
01:11:52,640 --> 01:11:38,210
how this happened how you don't see

1725
01:11:52,650 --> 01:11:56,550
radial engine

1726
01:11:56,560 --> 01:12:01,220
[Music]

1727
01:12:07,320 --> 01:12:04,830
plans are simple the best protection of

1728
01:12:09,120 --> 01:12:07,330
all is the special shelter built

1729
01:12:11,990 --> 01:12:09,130
according to specifications of your

1730
01:12:14,090 --> 01:12:12,000
local civil defense organization

1731
01:12:16,400 --> 01:12:14,100
the basement of any house or building

1732
01:12:18,620 --> 01:12:16,410
will become a good to improvise shelters

1733
01:12:22,250 --> 01:12:18,630
if you block the windows with the same

1734
01:12:27,080 --> 01:12:22,260
thing if you don't have sandbags just

1735
01:12:29,190 --> 01:12:27,090
what can you do take it under you'll

1736
01:12:35,610 --> 01:12:29,200
find me in the bunker bunker

1737
01:13:01,620 --> 01:12:35,620
[Music]