In this episode, host Erika Audrey sits down with Dr. Mo Patel, immunization expert, pediatrician, and recent MBA graduate. Together, they tackle topics like innovation through struggle, the nuanced difference between equity and equality, and navigating the challenges of the news cycle, particulary during an election year.
Dr. Patel shares insights into the importance of humanizing healthcare workers, shedding light on the realities faced by those on the frontline. Join Erika and Dr. Patel for a thought-provoking discussion that spans healthcare, social justice, and the remarkable stories that make us all human- oh yea, and EBOLA!
Welcome to Clover club, a podcast about
curious conversations and stories and
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:tended to make you laugh and learn.
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:I'm your host, Erica.
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:And today I'm so excited.
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:To have Mo Patel mo is the chief
medical officer for the national
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:center for immunizations and
respiratory diseases at the CDC.
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:She is also a pediatrician and in
her spare time recently got her MBA.
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:, and today we're here to talk to you
about all sorts of interesting things.
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:So Mo hi.
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:Hi Erica.
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:I'm so excited to have you
up here on Clover club.
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:Oh, my God.
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:I'm like so honored that you asked
me to do this really I'm honored.
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:You said yes.
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:I feel like with us.
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:Like given that we've known each
other for so long that this feels a
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:little weird to me, but also true.
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:It feels very formal because Mo is
how long have we known each other?
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:I moved back to Atlanta in 2010.
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:From New York.
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:So I feel like I went right to you.
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:I'm like, cause a girl
gotta get her hair done.
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:That's right.
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:So like 13.
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:Oh my God.
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:Like going on 14 years.
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:Yeah.
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:It's amazing.
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:Yeah.
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:Okay.
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:I love it.
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:I love us.
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:I love art.
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:It's been a great 14 years.
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:, One of the things that one of the
millions of things that I love about
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:you Mo is that every time I know that
you're on my schedule, which these days
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:is more and more often, which I love.
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:Um, Mo is somebody who invites
me to be like my best self.
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:Like I know we're going to have a
really deep, interesting, insightful
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:conversation about such a range of topics.
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:, and I just know I'm going to leave
your appointments, like feeling good.
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:And , I feel like we always have some
sort of conversation where for like
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:hours or days afterwards, I'm like
still thinking about it, you know?
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:, and I think you are somebody who's
willing to like go there and get to
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:a conversational level where others
may stop digging type of thing.
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:And so I'm kind of excited
to just like document.
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:One of these conversations
and share that with people.
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:I know.
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:So I feel the same about you.
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:Lots to learn, even though I feel like
there's actually quite a significant
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:age gap between us, is there.
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:I maybe at least 10 years.
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:No.
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:Well in 48.
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:Oh, Okay.
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:First off.
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:I think my brain.
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:Stopped accepting you have birthdays.
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:Around 38.
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:Because you look 28.
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:Unfair.
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:Keep saying that to me, I love
that But yet we're like kindred
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:spirits on so many things.
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:There are so much that I feel that I
can talk to you about and get really
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:deep about and really candid about.
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:And I don't feel like, you know,
as you move through life, Like the
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:friend circle starts to get thinner
and thinner because you're just not
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:exposed as much to different people.
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:It's true.
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:And so when you find these
like gems, which I think of
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:you as one of my gems, like.
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:Then you, you hang on and you keep
exploring and you keep discovering.
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:And I don't feel like our
conversations are ever static.
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:Oh God, no.
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:The opposite of static earlier today.
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:Do we want to share,
but earlier today was.
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:Um,
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:well, I mean, do you want to sing for us?
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:Here's what earlier today entailed.
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:, we did a whole round of accents from all
over the world and mode one for Indian.
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:But you called me a cheater.
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:You are a cheater Mo Patel.
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:Did I win, but with.
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:I think your best accent was Russian
for some random reason, which makes
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:me worried that you're like a spy.
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:I would be.
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:Just watch Oppenheimer.
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:So it's a little bit like on my.
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:On my frontal lobe.
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:I would love to be a spy
I'm super into that type of.
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:Uh, do you remember us trying to be
spies at the Atlanta spy association?
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:Oh, God.
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:Uh, I'm still a member by the way.
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:Are you okay?
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:Hold on.
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:That's a little story we have to tell,
actually, I'm so glad you mentioned that
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:because actually I didn't remember that.
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:Well, it wasn't front of mind, obviously.
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:So one day Mo was here with an
appointment and she was like, Erica.
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:Do you care about her VNS syndrome?
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:And I was like, actually, yes, I'm
very intrigued by Havana syndrome.
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:And you invited me to this
symposium about Havana syndrome.
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:And so I decided to go
and then you bailed.
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:And so I showed up to like fat John's
catcher in the rock fish store.
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:There's like.
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:Old white guys in like Oakley,
sunglasses and Tweed blazers standing
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:around talking about Havana syndrome.
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:And then afterwards the like main.
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:Dude for the spy club was like in my
inbox, trying to take me out to coffee.
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:IDK why it was the weirdest situation.
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:And I was just like, I cannot
believe I'm sitting here alone.
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:I'm so sorry that I boiled on you, but.
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:This is what spies do.
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:We're unpredictable.
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:You had more important things to do.
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:Other spice stuff, other spice stuff.
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:We can't talk about that.
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:Can't talk about that.
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:Talking about that.
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:Also, I feel like regularly
Mo is like Erica saying.
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:I mean, I would love to have you
sing right now on this podcast.
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:You saying, you told me
you were in the opera.
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:I've put some pretty incredible.
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:I mean, I didn't actually know
that until quite recently, really.
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:, when your best friend Natalie
was getting her hair done.
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:Oh, yeah.
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:And she didn't know what the fuck.
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:I forgot you were here to witness that.
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:I was, I was the thing about
Natalie though, is I'm sure I've
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:told her and she just has a shitty
memory and it's probably like, man.
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:But I mean, The fact is that is I
feel like women that we are sort
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:of, I don't, this is probably not
the right word, attract to chemistry
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:drawn too often, or multi talented.
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:Like this is what I feel like there's
so much polarity when we meet people.
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:But then when you actually have that
conversation, you know, there's so many
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:layers, so you, you know, your, my, you
you've been working on my hair for a
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:very long time as a curly haired girl.
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:But yet you're this opera singer.
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:You play like four different
instruments, you know, you
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:artistic, you're a business woman.
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:You're entrepreneur.
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:I just feel like there's this
opportunity to elevate res you
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:know, be there for other women.
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:Yeah.
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:And, and, , I don't know.
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:Grow.
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:Well network.
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:Yes.
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:Share stories.
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:Yes.
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:Show people doors, open glass door.
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:I mean all that stuff.
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:Um, Isn't the glass ceilings.
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:Okay.
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:Delete that.
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:So I don't look stupid.
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:Glass windows.
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:Those two.
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:And open glass, anything?
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:Yeah.
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:Like a bottle of wine.
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:I mean, that's always top priority.
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:, yeah, and I think like,
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:I am.
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:This may resonate with you.
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:, as I get older, I'm like quality
over quantity with the people that
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:I associate myself with, but I feel
like what you just listed is like
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:being drawn to people who have.
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:Interest in qualities that are balanced
between their right and left brain.
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:Does that resonate with you?
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:Yeah, it does.
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:And you know, it didn't before, because
you start to, you become really ma
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:like you have this like Univision.
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:Of what you need to be doing,
what you need to be accomplishing.
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:And then as you get older,
you're like, That's not enough.
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:At least, I think the women that I like
again drawn to, it's always about the
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:better tomorrow than you are today.
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:The people that I love to be with the most
are the ones that are growth oriented.
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:Right?
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:There's a version of,
we can make this better.
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:We can make this better for
ourselves or families or communities.
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:Whatever else that is, that's a
Gander little bubble within ourself.
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:Yes.
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:Growth oriented is such
a great way to say that.
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:I'm trying to remember the word
that when were you were doing that?
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:What's the word for 23 or.
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:Yeah, mine is, , generate.
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:Generate 2024 for you as
generates, generate what's yours.
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:Do you have one?
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:Well, you gave me one and I can't remember
now, but it was obviously it resonated.
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:Really stuck.
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:, so, okay.
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:Mo.
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:You.
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:Are a woman doctor.
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:How did you accomplish that?
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:Oh, I love this.
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:I think I honestly was able to get
to where I am because of my dad.
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:Oh, oh yeah.
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:Okay.
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:He literally is the reason
I am, who I am today.
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:And I know lots, maybe lots of
daughters say this about their
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:dad and then lots of daughters.
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:Don't say that about their dad.
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:Yeah.
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:But who.
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:But I was a total daddy's girl.
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:And.
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:I think I shared this with you.
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:I, you know, my family, we were
undocumented until I was 12.
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:Yes.
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:And, you know, we came over.
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:And we had a visa.
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:It wasn't like.
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:We came illegally.
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:We came legally.
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:We just never left.
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:Where did you come from?
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:, from England.
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:Parents are Indian.
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:They moved to the UK and then in the late
seventies, my dad came and then , the rest
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:of the family came in the early eighties.
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:Okay.
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:So we moved to, New Jersey,
like many Indians do.
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:And then we moved to Florida.
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:Oh, I don't want a new, this.
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:Oh, really?
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:Daytona beach.
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:In the eighties, the
height of the HIV epidemic.
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:And, , my dad bought a little motor
launch and, , you know, we stayed
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:on the motor lodge in a very tiny
little apartment complex, not even
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:a complex, it was just a tiny room.
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:Yeah.
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:And.
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:Like Schitt's Creek.
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:Kind of like Schitt's Creek.
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:Actually, we just had one room.
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:That one.
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:Wow.
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:Okay.
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:Yeah.
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:Four, five of you for,
for, for, for, okay.
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:Because , my sister.
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:, didn't live with us.
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:We couldn't bring her over.
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:So she, I didn't actually meet
my sister really till I was 12.
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:Oh, interesting.
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:And that was when I became
where my family got residency.
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:And this is a whole other
storyline with my dad.
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:Loving being a Republican.
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:Oh my God.
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:Because of, you know, under
, Reagan's administration.
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:Um, naturalized everyone that
came to the U S before:
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:Okay.
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:My dad came in 1979.
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:So I actually didn't meet my
sister Raj until she was 12.
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:I mean, I met her when I was a baby, but.
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:I didn't know her.
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:, and she was raised by my grandparents.
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:Now, this is not uncommon in Indian
culture to be like, you know, you
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:go to the grandparents and you go
to the on and all of that stuff.
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:Yeah, but.
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:There was four of us in
that little tiny room.
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:We went to private school
because my parents wanted
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:us to have a good education.
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:Yeah.
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:And even though we had this one room and
I wouldn't say we were rich, we were.
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:I wouldn't say we were poor, but
you live culturally different.
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:When you're raised in
like a community setting.
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:Yeah.
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:Like India, like even wealthy
people in India, like all
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:will stay in the same room.
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:There's a, there's a family
orientation about the way they
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:think about community and.
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:You know, I think there's a
lot to learn about how other
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:cultures care about each other.
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:Sure.
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:And how maybe we're.
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:Moving away from that in this country,
we've moved so far away from that.
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:So tell me what you think about that.
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:Why do you say that?
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:Because you've traveled a lot.
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:Yeah.
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:, oh, I mean, I think just like the
contrast of Americans are generally,
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:so, , Xclusive not inclusive.
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:Right.
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:, I mean, you look at the traffic
in Atlanta, for example, and it's
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:hundreds of thousands of cars
with one person inside of them.
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:, we live very isolated lives and very
independent, and I think that that's.
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:I think that's part of living in a
capitalist society is that they
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:want people to be kind of isolated
and sad so that you spend money
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:to make yourself feel better.
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:So, if you can get comfort from
your grandma in the next room,
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:you're not going to go spend a
hundred dollars on old navy.com.
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:That's what I think about that.
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:Wow.
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:That's dark.
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:Maybe not untrue, but, , I mean,
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:the perfect balance is probably
somewhere in the middle, right.
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:Where it's like you have a close.
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:Connection to family and a sense
of community, but also some
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:independence built into it.
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:, and I think that you can observe
different cultures who land on
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:different parts of that spectrum.
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:, I'd be curious to know where the perfect.
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:Median is, you know, I mean, do you, have
you experienced that where it's like,
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:Developed and progressive and innovative.
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:So for me, when, when you talk
about that balance, It's like
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:the folks that can look forward.
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:Innovation progress.
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:You know, building a better society.
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:Which means you have to let some
of your traditional things go.
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:Absolutely.
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:But you still feel that your general
responsibility is beyond your own self?
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:I think very few people feel that way.
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:Well, I wonder what cultures do that.
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:This is a C okay.
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:Everybody listening.
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:This is the type of stuff that mobile just
like casually asked me while I'm doing
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:her hair at like 11:00 AM on a Saturday.
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:I'm just like, oh my gosh.
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:Like,
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:Let's let's get into it.
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:Okay.
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:, you can't prepare for
a question like that.
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:, will you ask it again?
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:Well, which culture right now
that you are aware of, because
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:again, you've traveled a lot.
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:Balances that interest of
progress, innovation growth,
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:thinking towards the future.
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:With all of the stuff that's
happening right now in terms of our
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:environment, in terms of the polarity,
in terms of our political sort of.
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:Issues.
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:Yeah.
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:I'm saying issues.
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:Cause I don't, I actually
don't even know what.
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:You actually slap on to politics.
338
:Yes, but then understand clown show.
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:Shit show.
340
:Yeah.
341
:, but then balance that with those
traditional components of like, you
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:know, thousands of years ago, when
you knew you couldn't survive without
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:also having that community with your.
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:Like those people died, right?
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:Like, Those.
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:Yeah.
347
:The Neanderthals and all of those
things that sort of move through like
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:human evolution, they didn't survive.
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:You needed to have your tribe.
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:I don't know if it's, because this is
an area that I've traveled in the most
351
:extensively, but my initial reaction
to that question is like Scandinavia.
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:, like you've got good city centers
with public transportation.
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:You've got affordable housing.
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:You have environmental stewardship.
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:You have, , a focus on education on
healthcare, on kind of those baseline
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:things that keeps the population.
357
:Happy and healthy because that
is the foundation for innovation.
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:Right?
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:You can't innovate if
you're in survival mode.
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:And so I would say, yeah, At least
from the outside looking in, because
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:of course I don't live there.
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:, that seems to be an area
of the world where they've.
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:They're at least attempting to figure out
in a way that, that resonates with me.
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:what do you think?
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:I guess.
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:Scandinavia is a lot of money.
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:Yeah.
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:And, , I wanna actually.
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:Ask that question about the point you
raised around, you can only be innovative.
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:When you don't have to be
in constant survival mode.
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:And I would offer a different opinion.
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:, and this is going to maybe to your,
to your listeners be a little bit.
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:Touchy because of what's
going on right now.
374
:Lean in.
375
:Let's go.
376
:Because there was, you know, touches.
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:Okay.
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:If it's educated, right?
379
:It's like we need to have stretch
the boundaries of the conversation.
380
:This is Israel and Palestine.
381
:Okay.
382
:So, You know, you have.
383
:Clear.
384
:Humanitarian crisis
happening in Palestine.
385
:Yup.
386
:, and you know, I, I, you know, this,
that I lived in Israel for a couple of
387
:years, but this is like in the early two
thousands, it was a very different Israel.
388
:Sure.
389
:Back then, and my Israeli
friends are quite leftist.
390
:, But because they have to survive.
391
:So let's remove the issue around the
genocide and everything happening.
392
:I just want your listeners to understand
this is we're not taking this away.
393
:That there's like actual, what you're
about to say would apply prior to October.
394
:Well, it would apply
to the Israeli culture.
395
:Okay.
396
:But this, I want to remove it
from what's happening right now.
397
:And the reason is, is because the
Israelis are in survival mode.
398
:Because of just the
location of where they are.
399
:And so they have to be innovative.
400
:And so they've developed,
for example, desalination.
401
:Processes and methods where
they can cause they don't have
402
:fresh water going into Israel.
403
:And so they have methods in
science that can desalinate water.
404
:They have ways that they irrigate
their crops, where they take sewage
405
:water, put it back into the desert,
use that sand to sift through.
406
:That excrement basically.
407
:And then the irrigation feeds back
in basically waters, the plants.
408
:And so even though Israel, like.
409
:You know, Israel, like I
think it rains, maybe one.
410
:One or two months a year.
411
:Okay.
412
:They have amazing vegetables
and amazing food in Israel.
413
:And they have to, because
it's a survival thing.
414
:They will not be able to survive if they
can't think of innovative ways to survive.
415
:So I think there's both, there's
like, there's a version and
416
:that's the human nature, right?
417
:It's human nature where you have
survival issues that make you innovate.
418
:And then you have a basic, , way
of safety that your government
419
:and your community and everything
is meeting your basic needs.
420
:Yeah.
421
:Like Scandinavia.
422
:Where you can also be innovative
because you have the opportunity
423
:and the bandwidth to be innovative.
424
:Yeah.
425
:And then you have like all the stuff in
the middle where you're like a single mom.
426
:And do you have three kids
and you're working three jobs.
427
:How do you get to be innovative and think
beyond your literally your basic needs?
428
:Yeah, that's what I picture is
just like when you're in that
429
:super high stress survival mode.
430
:, and maybe this goes back to a class
thing, but I wonder Scandinavia
431
:of course has a ton of wealth.
432
:, there is a lot of wealth in Israel, but
this innovation that you're referring
433
:to, for example, is that something that.
434
:Everybody living in Israel
feels inspired by it.
435
:Or if it's maybe certain
tiers of Israelis.
436
:That are like.
437
:Have the, , How do I word that?
438
:, like access.
439
:So that innovation.
440
:So, I mean, I feel like with every
country, so even in Scandinavia
441
:where you have a very high, like a
threshold for living there, I mean, I
442
:don't know what their GDP is, but the
Scandinavian countries are very wealthy.
443
:They have oil.
444
:Yeah.
445
:I mean, like, you know, They get
a lot of basic needs met for sure.
446
:We're there for those
countries and those people.
447
:, I feel like countries that aren't at that
level, there's absolutely a gradation.
448
:I mean, even in the United
States where we're like a soap.
449
:Supposed to be one of the most
developed countries in the world.
450
:Like our health care
system is for fucking shit.
451
:It's embarrassing.
452
:Yeah.
453
:It's embarrassing.
454
:And you know, for me working
for CDC and seeing the sort of.
455
:The lack of coordination and the lack
of it's all these siloed systems.
456
:Yeah, we're trying to protect Americans,
keep them safe, keep them healthy.
457
:How do you do that?
458
:I mean to me as somebody who isn't
working closely to it immediately, I'm
459
:like you have to untangle for profit.
460
:Organizations and systems
in basic human needs.
461
:But what do you, uh, you probably,
I mean, you could speak to that
462
:more highly than I can for sure.
463
:I mean, I'm.
464
:You know, While I absolutely believe
in there's a basic line that we have to
465
:serve our communities and our people.
466
:And that the government
should step in for that.
467
:, I also believe in capitalism.
468
:Because I think capitalism
drives innovation.
469
:Now, I'm not saying capitalism
in like money greedy way.
470
:But I mean, so much data shows that
if you drive capitalism in a way so
471
:that, so basically not having like,
oh, too many government subsidies.
472
:When you have too many government
subsidies, like some countries do.
473
:You become complacent.
474
:Yeah.
475
:You need to have that competition.
476
:I mean, this is, this is me being
my, my business school stuff
477
:where I wasn't convinced of this
before I went to business school.
478
:After business school, I'm like,
yeah, there's actually evidence
479
:and data and statistics that show
that you need to have competition.
480
:And competition drives innovation.
481
:Absolutely.
482
:I totally agree with that.
483
:And it's something that I struggle with
a lot, obviously I believe in capitalism,
484
:I am a business owner, , and I love it.
485
:And I love that.
486
:I have the ability to have chosen a career
path where I've made it away from myself.
487
:That isn't something that.
488
:Is on the list of options when you're
in high school about to graduate.
489
:Right.
490
:, but I also really struggle with
where my role , as a small business
491
:owner fits in to the grander scheme.
492
:And so there's a lot of.
493
:Things that are important to me.
494
:Like, , I mean environmental
stuff, and it's like, how
495
:do you have an online store?
496
:And, uh, like I'm adding to the problem.
497
:, I'm shipping things.
498
:I'm which uses shipping materials.
499
:And we try to use.
500
:Recycled and mindfully created
shipping resources or reuse things for
501
:example, but those costs so much more.
502
:And then I'm a small business
with really small margins.
503
:And then I'm like, why am I
fucking feeling bad about this?
504
:When Amazon has 4 million trucks
out on the road every hour, and
505
:then it's like the illusion that I
could do things differently or make
506
:a difference feels, , I don't know.
507
:I struggle with it a lot about.
508
:Yeah.
509
:Like where you, where I
can fit into that wall.
510
:Not negotiating my values.
511
:Yeah.
512
:Yeah.
513
:I feel like a lot of
people are in that space.
514
:And I, you know, I don't know, I don't
know what the right answer is, but I
515
:do think that there's absolute value in
capitalism and there's absolute value in
516
:making sure that services are provided so
that we are meeting basic human needs and
517
:maybe even more, and that's not equality.
518
:Right?
519
:That's the difference
between equality and equity.
520
:At some communities, some people
are going to need more support.
521
:Then others.
522
:Yes.
523
:And I feel like as a country, it's so
focused on equality and not equity.
524
:Yes.
525
:And, but when, when you talk
to people and you say, Wow.
526
:Um, I feel really bad for that.
527
:Again, that single mom, that's
working three jobs and she has three
528
:kids and she's barely making ends
meet people, want to donate to her.
529
:Right.
530
:But they don't want to donate
to the systems issue or solve
531
:the . System's problem that are
like letting her having to do that.
532
:Sure and in any way.
533
:So I think that there's.
534
:This concept that you're saying of
like capitalism and yet this, almost
535
:internal consternation that people
are having around being a good person.
536
:Yeah.
537
:Good.
538
:Service like a community member, but
then also understanding what they
539
:are your needs are for your business.
540
:It's not easy to, to, to actually solve.
541
:And I think that's introspection
that each individual probably
542
:needs to do for themselves.
543
:Oh, I think that if you polled the
average American and asked them to
544
:describe the difference between equity
and equality, they wouldn't be able to,
545
:, and immediately my mind goes to you.
546
:I'm sure you've seen that image of
it's like a cartoon of three people
547
:standing at a fence watching a race.
548
:Oh, yeah.
549
:Like there's a short person and a tall
person and a medium height person.
550
:And it's like, when you put them
all on the same size, apple crate.
551
:Nothing has changed, but if you give
the shorter person, the tallest apple
552
:crate and the tallest person, maybe
doesn't need an apple crate, you know,
553
:and then, then it's like, ah, equity.
554
:That makes sense.
555
:That's equity.
556
:That's equity.
557
:That is equity.
558
:Equality.
559
:Is everybody having the same?
560
:Nobody walks and nobody needs it.
561
:Makes sense.
562
:Nobody needs the $250
check from, you know, Kemp.
563
:Right.
564
:Like, because he had extra
money in his taxes, like.
565
:I mean, I was, I would love 250
extra dollars, but like, I also
566
:feel like that single mom working
three jobs, that's three kids.
567
:I'm happy to give her my tuner.
568
:I mean dollar cheque.
569
:Now I'm not saying again, this is,
this is me saying my perspective.
570
:I'm not saying everyone needs
to have this perspective.
571
:I just hope that there's more
grace as we talk about these kinds
572
:of things, because that's, to me
what's missing in the conversation.
573
:It's.
574
:It's very absent in the
conversation and it's very easy.
575
:I think for people to, uh, Chew on a
preordained list of talking points from
576
:their air quotes, political side, you
know, like you've, you've picked your,
577
:your Jersey on the, on the national scale.
578
:And, uh, there isn't a lot of grace or
even, , interest really in just having
579
:a chat about how, cause I think that a
lot of people would sit down and at the
580
:end of the day, agree on a lot of things.
581
:The disagreement is , How do we get
there, but not that we disagree that
582
:this is an issue that affects everybody.
583
:Yeah.
584
:And I think that there's a lot more
commonality than differences, but the
585
:powers that be certainly benefit from us,
not feeling that, you know, congruent.
586
:In these ideologies.
587
:Yeah.
588
:Yeah.
589
:I mean, , then you layer on the
misinformation, the disinformation
590
:and the bombardment of.
591
:Maybe other countries, , sort of
motive, you know, motivated to do that,
592
:especially right now as elections come up.
593
:So.
594
:I wonder if there's an,
this is a question for you.
595
:Is do you feel if you were to say.
596
:For your peer group.
597
:The top two to three things that
you would recommend people do.
598
:As they, you know, it's February
as they move into this year.
599
:What would those two to three things be.
600
:We talked about a lot right now.
601
:So what would, what would you say.
602
:People should be doing
more, to be more equitable.
603
:To be.
604
:More informed about the upcoming issues.
605
:And that could be equity.
606
:That could be environment that could be.
607
:Listen to the price, like watch the
primary, whatever it is, but we're
608
:heading into a really tricky year
where, I'm not going to get political on
609
:this cause I am a government official,
but I think that there there's this.
610
:, disillusionment that's happening.
611
:Uh, especially in young people right
now , and then there's a version of just
612
:burn it down and that's also happening.
613
:And so you're like, how do you
get people to upskill themselves?
614
:I guess I think that's
such a great question.
615
:I think the first thing is that
everybody from time to time needs
616
:to have a check-in with themselves
and say, am I in a silo that I have
617
:built around myself intentionally?
618
:Right.
619
:, I know looking back at.
620
:2020.
621
:I.
622
:Really.
623
:Um, I want to articulate
this well, um, uh,
624
:I leaned really hard into, uh,
talking points from one side.
625
:And, uh, didn't I put my intellect on
the back seat and I let information
626
:be fed to me without putting my own,
, like, Hey, let me just Google that
627
:or let me look at a different news
source on that because it's easier.
628
:Cause it's so much easier.
629
:Yeah.
630
:Yes.
631
:And so I think the most important thing
is having diverse options for where
632
:you're getting your news and where you're
going to your media and then asking
633
:yourself, like, I see people who have
really strong opinions about issues that
634
:don't affect them at all, which I am.
635
:Entertained by.
636
:And I think it's like, Hey, do
I know anybody who's actually
637
:impacted by any of this policy or
this war or this fill in the blank?
638
:Like, let me just ask them
if we can have a talk.
639
:, I think so many people are willing
to sit down and have a conversation,
640
:but they're not going to just put
their feelings and thoughts out
641
:there, unprovoked, which is okay.
642
:, but I think like it's really easy.
643
:I mean, All trans rights, come to mind.
644
:Um, If you don't know a trans
person, it's probably very easy
645
:to form an opinion about them.
646
:That may or may not be fair or correct
based on this little sliver of access
647
:that you get and your social media.
648
:, silo.
649
:, and I would say you need to have trans
friends, or you need to like chat with
650
:somebody who has a trans family member
and just get that human component to it.
651
:And also ask yourself why the fuck am
I all riled up about something that
652
:isn't impacting me or any of my friends?
653
:Like what a luxury to
be confident in my, my.
654
:My gender.
655
:Right.
656
:, how thankful am I?
657
:And I have trans friends and I'm very,
I'm very fortunate that for years
658
:and years and years, I've, I've known
people who've experienced this and
659
:have gone through, , Transitions and.
660
:Did I understand it at first.
661
:Um, do I fully understand it now?
662
:No, because I am very fortunate that
it's not something that I'm impacted
663
:by it, but I have so much fucking
empathy for people who are willing to
664
:say, this is something that impacts me.
665
:And , I need to live my true expression.
666
:Who the fuck am I to have
an opinion about that?
667
:You know what I mean?
668
:All I want is for these kids to not
get bullied at school, I'm not going to
669
:make any comments about the Olympics.
670
:I think that there's a lot of
like hot button facets of that,
671
:that like don't actually matter
and are so nuanced and niche.
672
:, and people latch.
673
:Onto it.
674
:And so I think just finding, like,
if something makes you, if you get
675
:that, like, feeling about a topic,
like take a step back and ask
676
:yourself, why am I having such a
strong, emotional reaction to this?
677
:I love that.
678
:I love everything you just
said, like interrogate,
679
:interrogate, interrogate yourself.
680
:Yes.
681
:Interrogate outwardly like find out more
information and stop thinking about.
682
:I'm just going to come up and just,
this is my decision about this.
683
:Yeah, because you're so right.
684
:Transgender use, they have
one of the highest suicide.
685
:This, that particular population has
one of the highest suicide rates.
686
:Right.
687
:These, these kids are killing themselves.
688
:Because they feel so isolated.
689
:And so hated.
690
:And that could be.
691
:Uh, family members kit.
692
:Yeah.
693
:And yet you're okay.
694
:Being on online, harassing this human.
695
:Yeah.
696
:That's so embarrassing
to like, get a life.
697
:Any adult that has an issue.
698
:You know what I mean?
699
:It's just like, are
you fucking kidding me?
700
:Well, I mean, you know, but yet.
701
:I'm not, again, some of these
people are going to fight tooth
702
:and nail for abortion rights.
703
:Right.
704
:Like, it's still, like, if you're
worried about someone dying.
705
:And the fact that there's
death happening in pediatric.
706
:And like you said, I'm a pediatrician.
707
:So this is a population
I care very much about.
708
:Yeah.
709
:, but we're not willing to like protect
all kids, whatever age they're at.
710
:There's a little bit of cognitive
dissonance there for me.
711
:Yeah.
712
:Oh, I've ventured to say a lot of it.
713
:, I think too.
714
:Inherently part of being
ignorant about something.
715
:Is not realizing that you're
ignorant about it, right.
716
:, cause if you were aware you would probably
feel differently and I'm positive.
717
:I have blind spots because everybody does.
718
:Um, but what I do know is that I
make an effort every day to expose
719
:myself and, and just try to be a
well-rounded informed human being,
720
:even if I don't always get it right.
721
:I think if everybody just tried a little
bit more, the world would be, or at
722
:least our country would look differently.
723
:I totally agree.
724
:And some of that is.
725
:Like you said earlier, if
you hear something that's
726
:causing you to like contract.
727
:Yeah.
728
:Like you feel affected by that.
729
:Yeah.
730
:You should do due diligence
and read the other side.
731
:Yes.
732
:And I think, you know, I don't want
to blame every human right now because
733
:we're being forced fed information
in a way that's like out of control.
734
:Like not when I was growing up,
this happened and now it's, it's
735
:almost like this misinformed
demic is out like it is raging.
736
:And so we have to do our own due
diligence and making sure that.
737
:We're finding a hot button topic.
738
:There's obviously another side, otherwise
it wouldn't be a hot button topic.
739
:Correct.
740
:And, and inform yourself and take
the time to understand, even if
741
:it's something you don't believe in.
742
:Again, I do this because I have.
743
:You know, half of my family members
are Republicans and libertarians.
744
:And the other half is not.
745
:And then my mom is completely neutral.
746
:And just does whatever my
dad or I tell her to do, but.
747
:I, you know, I, so I live in just in my
family in that like microcosm of a lot
748
:of disparate thinking and feelings and
emotions about things like the election.
749
:And it was very helpful
to hear well, why dad?
750
:Why do you think that way?
751
:And then he am asking me, which
is rare because he doesn't ask me.
752
:Usually I have to.
753
:Force, feed it back to
why I think a certain way.
754
:And what's lovely.
755
:So my family were vegetarians.
756
:And, um, my dad is very into composting
and gardens and there's, if there's a
757
:bug in my house, my dad will chase that
fucker with a glass until he captures it.
758
:So he can let it outside this.
759
:This is not like guns blazing, Republican.
760
:Right?
761
:Right.
762
:So you were like, why there's
so many layers to humans.
763
:And if you take the top layer,
because that's just what they
764
:present on the superficial side.
765
:You're missing a lot
of the humanity of it.
766
:Yeah.
767
:I totally agree with that.
768
:, and I, and again, I would, I am assuming.
769
:That anybody listening to this podcast
is also probably like, let me know.
770
:You know, like, so if we all feel
that way, Is it just that we're being,
771
:so we're taking the easy path and
just taking the bait on the social
772
:media misinformation, like, is that
the biggest issue, do you think?
773
:So I had read an article that
someone said don't do social media.
774
:They said pick three to four.
775
:Like, , new sources that
are like legitimate.
776
:And just read those.
777
:Yes.
778
:So you're just reading
objective information.
779
:Like again, when I was growing up in
the eighties, we didn't have social
780
:media, we didn't have all this stuff.
781
:You just watch the six o'clock news.
782
:And that's like, that sounds
like that's the data you got.
783
:Yeah.
784
:But.
785
:There's probably, I think we're
exposing ourselves like too much
786
:to multi-channel information.
787
:That it's just superficial understanding
of a lot of different issues, instead
788
:of saying verified and verified and all
that versus saying like proactively,
789
:I want to focus on these five
things because that's what my value.
790
:Right.
791
:And so I think about the environment.
792
:I want to understand the plot.
793
:You know, what's happening
with the elections.
794
:I care about the Israeli Palestinian
conflict for me, of course, the world is.
795
:You know, public health kinds
of things that I want to be on.
796
:So you pick your couple of
things and then you find your.
797
:A specific number of sources and
you go deep into those sources.
798
:So as you're not just reading a headline.
799
:You're actually researching the work
that you do, and that's probably
800
:actually going to take less time
than you scrolling through Tik TOK.
801
:Getting your news.
802
:Yeah.
803
:For two hours at night before you
go to bed, that's a good point.
804
:And that's also the worst time for you
to be scrolling through, any electronic
805
:device and talking about the news.
806
:Absolutely, but we all do it.
807
:So I recently, , on Instagram I followed
like a little over:
808
:and I was like, this is too many.
809
:, and there's people in my
feed, they're annoying.
810
:And I went through and unfollowed I'm down
to like 500 something and there's more,
811
:I want to unfollow, but I unfollowed,
I think almost every news source, lots
812
:of celebrities and influencers, people
who make me feel bad about myself or who
813
:I'm just like, I don't fucking like you.
814
:, and , I'm just like, I really want to
curate my newsfeed to be just like, Happy
815
:and uplifting on social media and keep
social media focused on socializing.
816
:And then, like you said,
get my news from it.
817
:Reputable news sources.
818
:Yeah.
819
:And you know, and people that you trust.
820
:So it's like, One of the great
things about you Mo is during
821
:the pandemic as things evolved.
822
:I mean, we had several times where
I'm like, can I call you and just
823
:like, ask you about what should
I do at work with my mask policy?
824
:Like some people are starting to drop it.
825
:I don't know if I'm comfortable.
826
:We're in close quarters.
827
:Like talk me through academically,
what this looks like.
828
:, and I, I was so thankful to have a
resource like that because I was so
829
:much more valuable than anything I
could have Googled, , because you're
830
:able to give me your opinions and
feedback on my specific situation.
831
:, and unfortunate to have access to people
like you on that topic, for example.
832
:, but yeah, , I think it's
really easy to get radicalized
833
:in every fucking direction.
834
:And you have to put a
little bit of intellect.
835
:Behind, uh, why do I feel that way?
836
:And I think you're totally right.
837
:Like the topics that make your
nervous system, just go to spike.
838
:That's worth an exploration
perhaps in therapy.
839
:It shouldn't be that way.
840
:You know, Yeah.
841
:Yeah.
842
:Aye.
843
:Aye.
844
:Aye.
845
:So that means just having that
awareness, like I feel tight in my chest.
846
:You know, all of those things that
we just saw, honestly, we're so busy
847
:and we're tired and all the things
that are happening externally to
848
:us, and we don't pay attention to.
849
:Yeah.
850
:And I'm saying this as a single woman.
851
:That has time maybe to think through this.
852
:I mean, I say I have time because I don't
have kids and a husband and all of that.
853
:Yeah, but.
854
:The point is is that there are some,
again, it's an equity question.
855
:I can't all force our mindset on people.
856
:It's an equal situation
because it's not correct.
857
:But I want to pull on the thread.
858
:You were talking about
the pandemic because.
859
:I feel like, you know, I had this
amazing opportunity to in the beginning
860
:of the pandemic in January, 2020.
861
:, I flew out to Seattle to meet the first.
862
:Case.
863
:That's so cool.
864
:It was very cool.
865
:I was transitioning out.
866
:There was a CDC assignee, a
person that was out there.
867
:He's amazing.
868
:, and he actually went there to
meet the first case, but he needed
869
:to come back to headquarters.
870
:And I have, they asked me to go out there.
871
:I know the Washington department of
health very well, and it's an amazing,
872
:amazing health department out there.
873
:They are so innovative, so
thoughtful, but it's home rule.
874
:So what I mean by that?
875
:Is that the state of Washington has
certainly like at headquarters and the
876
:cap, you know, Seattle and all that, their
main public health infrastructure, but
877
:each of the different counties there have.
878
:They make their own decisions.
879
:Okay.
880
:There.
881
:So there are certain states
in the U S that do that.
882
:Other states know it like it is
hierarchical and it goes up, you
883
:know, the state makes the decision
and it has to trickle down.
884
:Okay, but here it's a little bit
different, but yet that, that
885
:particular state works so well.
886
:So we ended up.
887
:Going, uh, well, I ended
up going to Washington and
888
:meeting this, this first case.
889
:First case that we knew of.
890
:And he's like this hospital had literally
blocked off like multiple words.
891
:You have to go through multiple
checkpoints to get to this patient.
892
:Wow.
893
:And we were like talking
to him through a phone.
894
:And he was like the most lovely human
he was so kind to the nurses and it was
895
:constantly apologetic for like what he was
like making all this like work for people.
896
:And, you know, you think.
897
:Like in the news, like
first case came from China.
898
:It's like China's fault.
899
:And then you talk to this patient and
he's so humble and he's so thoughtful.
900
:And, you know, he's, he's
just so generous and gracious
901
:about the care he was getting.
902
:Yeah.
903
:It felt really bad that he was doing this.
904
:To you know, to the
nurses and all of that.
905
:Sure.
906
:And there was this discordance
again, China's bad, but this
907
:patient is super lovely.
908
:You know, why do we do that to ourselves?
909
:Was he a Chinese national.
910
:Okay.
911
:So he was a Chinese national,
was he visiting the U S.
912
:He was here for business.
913
:Okay.
914
:And then he came over with
symptomatic and, you know, again,
915
:this is the first case we diagnosed.
916
:Like we had thought there was probably
transmission may be happening before.
917
:I can confirm that because I have
this mystery illness and December,
918
:2019, that in hindsight was.
919
:I don't know if it came to Atlanta
that early, because it was hitting
920
:like the hubs that were, I mean,
maybe you, you don't know there was.
921
:We didn't have the surveillance
in place to be able to detect it.
922
:We needed the test to
come out and all of that.
923
:So, , anyway, it was.
924
:This is so different
from where we are now.
925
:It's like mind-boggling right.
926
:This guy.
927
:Is . In hospital with like multiple
checkpoints, even get to him.
928
:And he's in a room.
929
:We haven't talked to
him through her phone.
930
:When you go into the room, you are
full on protective equipment, like
931
:as if it's an, any bowl award.
932
:And now look at us.
933
:Yeah, I have COVID I might, I'm just
going to go hang out at the bar, you know?
934
:Yeah.
935
:And.
936
:I'm not being judgemental
about this at all.
937
:And my point is that.
938
:We've changed our situation of change.
939
:The virus actually hasn't changed.
940
:Yeah.
941
:It keeps evolving.
942
:It's still COVID you know, all
of that what's changed is us.
943
:Yeah.
944
:Our comprehension.
945
:Our understanding of what's happening
with the virus, but also our immunity.
946
:When this virus came.
947
:Nobody had immunity.
948
:So this virus was able to whip
through the globe super fast.
949
:Nobody had literally an immune
cell against this virus.
950
:Yeah.
951
:Now more than 95% of humans do.
952
:Right.
953
:So we're just in a very different place.
954
:And it's exciting that we've gotten here.
955
:We got here because of vaccines.
956
:We got here because of
people getting infected.
957
:You know, it's just a different
place that we are right now.
958
:Absolutely.
959
:Thank goodness.
960
:Thank goodness.
961
:, we're tired.
962
:I'm sure.
963
:But it is so interesting.
964
:The contrast between early through
mid:
965
:, and I had a guest on a
couple of episodes ago.
966
:Her husband got COVID in March, 2020, and
he ended up, I mean, I think it was like
967
:140 something days of being ill, multiple.
968
:, lung collapses, surgeries, ICU visits,
but she was saying like, it was in that
969
:stage where we were wiping down our
groceries and like, she could only drop
970
:him off in front of the emergency room.
971
:And then people were in full hazmat.
972
:They're like, can we
even touch this person?
973
:Um, and the, the contrast between
that and now is just out of control.
974
:Like I was at a concert last
night and I mean, I saw one or
975
:two people wearing masks in my,
and now, which I think is good.
976
:And I'm sure you agree.
977
:Like, I think if people are either.
978
:I have a co-morbidity or they
know they're not feeling well
979
:or whatever, there's less shame.
980
:And it's just like, oh,
I'm just gonna wear a mask.
981
:And it's like, literally fine.
982
:And I don't think people give a fuck.
983
:, or they shouldn't give a fuck
because it doesn't affect them.
984
:, so I love seeing that understanding also.
985
:Yeah.
986
:I feel like there could be
maybe even more understanding.
987
:Honestly, where.
988
:People have, you know, it's that balance
again, that yin and yang around, you
989
:know, sort of, , agency is one of
my mentors used to call it like the
990
:individual autonomy to like, again,
that concept we talked about earlier
991
:about protecting your community.
992
:Yes.
993
:And being like, actually thoughtful
about not wanting to spread a
994
:disease to a cancer patient.
995
:Correct.
996
:Because you don't know
that patient has cancer.
997
:Yes.
998
:And so.
999
:If you want to wear a mask, my dad.
:
00:43:11,107 --> 00:43:12,577
Uh, get a Republican.
:
00:43:12,937 --> 00:43:16,087
Like a staunch Republican never
leaves the house without a mask.
:
00:43:16,117 --> 00:43:16,177
Yeah.
:
00:43:16,357 --> 00:43:17,347
Still to this day to.
:
00:43:17,767 --> 00:43:21,817
Yeah, because my dad he's
84 and he has asthma.
:
00:43:22,207 --> 00:43:28,537
And whenever he gets sick, it throws
him into like, Like an entire flair.
:
00:43:28,627 --> 00:43:31,867
He gets pneumonia, get sinusitis,
and they used to go on all the things
:
00:43:32,317 --> 00:43:37,747
and, you know, he knows for himself,
like masks has been his, his savior.
:
00:43:38,077 --> 00:43:41,317
So an 84 year old man with asthma.
:
00:43:41,587 --> 00:43:45,757
Once to wear a mask, a little more
a mask, we should not be shaming.
:
00:43:45,817 --> 00:43:49,117
Other people that want to take care
of themselves in different ways.
:
00:43:49,237 --> 00:43:52,987
And in exchange, taking care of you
because they're not, you know what I mean?
:
00:43:52,987 --> 00:43:55,267
Like when I sit next to somebody on a
plane wearing a mask, I'm like, fuck.
:
00:43:55,297 --> 00:43:55,987
Yeah, yeah.
:
00:43:56,467 --> 00:43:57,247
I wear a mask on the plane.
:
00:43:57,547 --> 00:44:01,027
I don't wear a mask generally everywhere
else, but I wear, still learn on a plane.
:
00:44:01,057 --> 00:44:01,567
Yeah.
:
00:44:01,807 --> 00:44:02,587
Too close to me.
:
00:44:03,277 --> 00:44:06,427
, there's good ventilation on
planes now with HVAC systems and
:
00:44:06,427 --> 00:44:09,697
all that, but I still, yeah, I'm
still pretty careful on flights.
:
00:44:09,967 --> 00:44:11,407
I remember getting into it with somebody.
:
00:44:11,437 --> 00:44:16,717
I was I'm close with kind of early
pandemic and explaining exactly what
:
00:44:16,717 --> 00:44:20,047
you just said of being like, even if you
don't care about this, or you're convinced
:
00:44:20,047 --> 00:44:23,107
that for some fucking reason, you're not
going to get sick, or if you do get sick,
:
00:44:23,107 --> 00:44:24,487
you're not going to be hospitalized.
:
00:44:25,057 --> 00:44:30,007
Just being mindful of the fact that
you live in a community and that your
:
00:44:30,007 --> 00:44:32,797
actions potentially impact other people.
:
00:44:33,007 --> 00:44:38,347
It doesn't make sense to me why people
got so inflamed over the request to
:
00:44:38,407 --> 00:44:42,067
try to keep themselves and others
safe, because that was the essence
:
00:44:42,067 --> 00:44:45,487
of the mask mandate was let's just
try to help each other and whether
:
00:44:45,487 --> 00:44:47,197
or not you think masks work or not.
:
00:44:47,867 --> 00:44:48,317
Okay.
:
00:44:48,377 --> 00:44:49,577
Are you a fucking scientist?
:
00:44:49,757 --> 00:44:54,257
Like I, the number of people I argued
with who have zero training or background
:
00:44:54,287 --> 00:44:59,267
in infectious disease or any of
this, but have such strong opinions.
:
00:44:59,477 --> 00:45:00,947
I mean, I wanted to pull my hair out.
:
00:45:01,307 --> 00:45:03,827
And, uh, we see that response.
:
00:45:04,247 --> 00:45:05,297
Across so many topics.
:
00:45:05,297 --> 00:45:07,187
This one was just incredibly important.
:
00:45:07,547 --> 00:45:07,847
Yeah.
:
00:45:08,687 --> 00:45:13,817
So I do want to make one
clarification because CDC does not.
:
00:45:14,237 --> 00:45:15,557
Issue mask mandates.
:
00:45:15,587 --> 00:45:19,637
They there's very narrow areas
that they do like travel.
:
00:45:19,667 --> 00:45:19,997
Yeah.
:
00:45:20,327 --> 00:45:24,467
But we actually don't have
, regulatory authority to issue mass
:
00:45:24,467 --> 00:45:27,257
mandates, like at a state level
that, that comes from the state.
:
00:45:27,287 --> 00:45:27,677
Right.
:
00:45:27,827 --> 00:45:31,327
But you know, to your point,
it's like, Absolutely.
:
00:45:31,357 --> 00:45:36,457
Like, why is it so inflammatory
and goes back to that question?
:
00:45:36,457 --> 00:45:38,857
Are you taking away my individual rights?
:
00:45:39,667 --> 00:45:40,417
Or.
:
00:45:41,107 --> 00:45:43,927
Are you helping me protect a community?
:
00:45:44,047 --> 00:45:44,647
Right.
:
00:45:44,797 --> 00:45:48,287
And , again, I think
misinformation, disinformation.
:
00:45:48,347 --> 00:45:51,557
You know, information coming
up from unreputable sources.
:
00:45:51,767 --> 00:45:52,937
Makes something.
:
00:45:52,937 --> 00:45:58,067
So to me, generally, quite clear,
which is science public health,
:
00:45:58,067 --> 00:45:59,477
where we're trying to protect humans.
:
00:46:00,107 --> 00:46:03,257
Make it so distorted that
we're no longer considered.
:
00:46:03,767 --> 00:46:05,747
, like a value to society.
:
00:46:06,137 --> 00:46:08,687
Is to me what's the most
concerning, like the.
:
00:46:08,957 --> 00:46:13,127
The lack and trust for public health that
has happened because of the pandemic.
:
00:46:13,607 --> 00:46:16,277
And because of misinformation to
distill information from multiple
:
00:46:16,277 --> 00:46:18,867
sources is so heartbreaking.
:
00:46:18,897 --> 00:46:19,137
Yeah.
:
00:46:19,167 --> 00:46:22,407
It's so heartbreaking to
certainly for me, but so many of
:
00:46:22,407 --> 00:46:24,267
us at that work at the agency.
:
00:46:24,327 --> 00:46:27,297
Yeah, cause we work there to do this work.
:
00:46:27,417 --> 00:46:30,507
I could absolutely not be
working at CDC and making more
:
00:46:30,507 --> 00:46:31,727
money in private practice.
:
00:46:31,757 --> 00:46:32,237
Yeah, sure.
:
00:46:32,747 --> 00:46:35,987
But I'm not saying, you know, I
I'm doing this for the money and.
:
00:46:36,227 --> 00:46:38,057
None of us are really
doing this for the money.
:
00:46:38,507 --> 00:46:39,287
But that passion.
:
00:46:39,857 --> 00:46:43,337
It is the passion of doing
something good for the world
:
00:46:43,337 --> 00:46:44,867
doing something that matters.
:
00:46:45,047 --> 00:46:45,347
Yeah.
:
00:46:45,377 --> 00:46:48,077
But doing it in a scientific
evidence-based way.
:
00:46:48,137 --> 00:46:48,317
Yes.
:
00:46:48,497 --> 00:46:52,007
That that will actually live beyond us.
:
00:46:52,847 --> 00:46:53,357
You know what I mean?
:
00:46:53,357 --> 00:46:56,297
Like the information I'm
doing or all that stuff is.
:
00:46:56,807 --> 00:46:58,307
Should outlive me as a human.
:
00:46:58,787 --> 00:47:00,527
Which is the amazing.
:
00:47:01,197 --> 00:47:05,547
, I remember like every time I would see
or hear something negative about the CDC.
:
00:47:05,757 --> 00:47:06,447
I would think of you.
:
00:47:06,447 --> 00:47:08,307
I would think of my other,
I mean, I'm very fortunate.
:
00:47:08,337 --> 00:47:11,217
I have so many clients that
work at the agency with you.
:
00:47:11,517 --> 00:47:15,867
, and I'm like, man, these are just like
normal people, just like us who are just
:
00:47:15,867 --> 00:47:21,207
going to work in a pandemic, trying to
do their absolute best and just working
:
00:47:21,207 --> 00:47:23,217
with new information as it comes.
:
00:47:23,427 --> 00:47:26,727
But again, I sometimes
will take for granted.
:
00:47:27,687 --> 00:47:30,417
How fortunate I am to have
access to people like you
:
00:47:30,627 --> 00:47:31,917
and that most people don't.
:
00:47:31,917 --> 00:47:35,427
And so it's like when you hear about
the CDC, it's just on a little quick
:
00:47:35,427 --> 00:47:37,917
news clip and maybe it's something.
:
00:47:38,597 --> 00:47:39,497
That's been skewed.
:
00:47:40,547 --> 00:47:40,757
Yeah.
:
00:47:40,787 --> 00:47:41,927
Or sterilized, right?
:
00:47:41,927 --> 00:47:46,287
Like it's just so this like,
, numbers thing, and there's not
:
00:47:46,287 --> 00:47:48,117
a human face behind the work.
:
00:47:48,167 --> 00:47:49,367
That got to that point.
:
00:47:49,457 --> 00:47:49,847
Right.
:
00:47:49,997 --> 00:47:50,477
So.
:
00:47:50,987 --> 00:47:53,687
I think that's probably with
everything when you're trying to
:
00:47:53,687 --> 00:47:57,617
boil it down to the, like the bottom
line that you forget that there's
:
00:47:57,647 --> 00:47:59,747
there's humans there that actually.
:
00:48:00,227 --> 00:48:00,647
Work.
:
00:48:00,677 --> 00:48:04,427
I mean, so during the pandemic,
Lots of my colleagues were working
:
00:48:04,457 --> 00:48:06,797
no more than 12, 15 hours a day.
:
00:48:06,797 --> 00:48:08,687
They, they did not see their kids grow up.
:
00:48:09,137 --> 00:48:12,167
They, they, they beat, you know,
they had their kid and then they
:
00:48:12,167 --> 00:48:13,757
missed out for a year or two.
:
00:48:14,177 --> 00:48:16,727
And that is constant.
:
00:48:16,727 --> 00:48:17,027
Still.
:
00:48:17,027 --> 00:48:19,247
Like people are so burned
out in public health.
:
00:48:19,877 --> 00:48:21,557
And they're quitting.
:
00:48:22,277 --> 00:48:25,127
And I think, you know, that data,
people are quitting healthcare.
:
00:48:25,307 --> 00:48:26,747
They are quitting public health.
:
00:48:27,167 --> 00:48:32,027
'cause they're like, why am I fucking
bothering doing this job anymore?
:
00:48:32,267 --> 00:48:32,747
Where.
:
00:48:32,837 --> 00:48:34,817
I'm not sure I have the passion still.
:
00:48:35,177 --> 00:48:35,807
But I.
:
00:48:36,527 --> 00:48:37,697
Nobody cares about it.
:
00:48:37,727 --> 00:48:39,947
Like no one cares that I'm
doing this job anymore.
:
00:48:39,947 --> 00:48:42,137
So why should I put
myself into this position?
:
00:48:42,317 --> 00:48:42,527
Right.
:
00:48:43,457 --> 00:48:46,907
There are people that have been
threatened physically, mentally
:
00:48:46,937 --> 00:48:49,217
like threatened by external sources.
:
00:48:49,577 --> 00:48:53,297
Because of the work they're doing that
they've had to have, you know, Sort of
:
00:48:53,297 --> 00:48:55,937
police or, you know, outside their homes.
:
00:48:56,297 --> 00:48:59,717
Making sure that no, one's going
to try to shoot them, you know?
:
00:49:00,107 --> 00:49:04,667
It's scary because this is like not
at all what we came into this for.
:
00:49:04,727 --> 00:49:05,087
Yeah.
:
00:49:05,147 --> 00:49:05,897
I've fucking bet.
:
00:49:06,827 --> 00:49:07,397
Oh, my God.
:
00:49:07,487 --> 00:49:07,727
Yeah.
:
00:49:08,057 --> 00:49:12,827
So Mo , speaking of your work in public
health, , you also worked on Ebola.
:
00:49:13,097 --> 00:49:13,457
Mm.
:
00:49:13,787 --> 00:49:18,197
Is that something that maybe has a fun
story or maybe not a fun story, but are
:
00:49:18,197 --> 00:49:20,507
there any interesting stories about that?
:
00:49:20,730 --> 00:49:21,420
Oh, my God.
:
00:49:21,600 --> 00:49:22,140
I.
:
00:49:22,470 --> 00:49:25,170
So, yes, I did deploy
for the Ebola response.
:
00:49:25,170 --> 00:49:27,510
So this is, this is like 10 years ago.
:
00:49:28,110 --> 00:49:29,250
, In::
00:49:29,340 --> 00:49:29,910
Okay.
:
00:49:30,870 --> 00:49:32,220
And, or was it::
00:49:32,220 --> 00:49:33,210
Was it::
00:49:33,210 --> 00:49:33,930
It's probably 20.
:
00:49:33,930 --> 00:49:36,120
It started in::
00:49:36,660 --> 00:49:41,970
, the first case during that outbreak
in west Africa was started in Guinea.
:
00:49:42,450 --> 00:49:44,850
But then it spread to the
neighboring countries, specifically
:
00:49:44,880 --> 00:49:46,410
Sierra Leone and Liberia.
:
00:49:46,830 --> 00:49:49,620
And that's where I was
deployed was Liberia.
:
00:49:49,680 --> 00:49:50,070
Okay.
:
00:49:50,520 --> 00:49:52,260
I have to start a little
bit to tell you about,
:
00:49:52,320 --> 00:49:54,750
Liberia at the guard are
actually important to understand.
:
00:49:54,780 --> 00:49:55,140
Okay.
:
00:49:55,440 --> 00:49:59,010
About why this, , outbreak
spread so quickly.
:
00:49:59,010 --> 00:50:00,540
So the first thing is that.
:
00:50:01,350 --> 00:50:03,930
Liberia has 15 different counties.
:
00:50:04,350 --> 00:50:08,880
And most of those counties are like,
I don't know, a hundred to 500,000
:
00:50:08,880 --> 00:50:13,980
people, but Mazzerati county, which is
where the capitalism and Ravya is over
:
00:50:14,040 --> 00:50:15,780
about, you know, about 2 million people.
:
00:50:15,810 --> 00:50:16,170
Okay.
:
00:50:16,860 --> 00:50:19,410
That county is on the water.
:
00:50:19,440 --> 00:50:23,130
It's on the Atlantic ocean and
there's a pretty heavy rainy season.
:
00:50:23,740 --> 00:50:25,360
, from Meda, I think November.
:
00:50:25,420 --> 00:50:25,810
Okay.
:
00:50:26,320 --> 00:50:32,530
So that's actually a very important point
because it makes Monrovia quite swampy.
:
00:50:33,070 --> 00:50:33,460
Okay.
:
00:50:33,460 --> 00:50:38,470
And so again, the first case happened,
uh, for Ebola during that massive outbreak
:
00:50:38,470 --> 00:50:39,880
in Guinea and it starts to spread.
:
00:50:39,880 --> 00:50:43,840
And I think it was March,:where Liberia saw its first case.
:
00:50:44,470 --> 00:50:50,200
And it spread really quickly like
spread and it spread in months, rando
:
00:50:50,230 --> 00:50:53,140
county in a way that was just untenable.
:
00:50:53,140 --> 00:50:56,290
It was like traumatic bodies
were lining the streets.
:
00:50:56,810 --> 00:50:59,810
The hospitals didn't have enough
capacity to take care of these patients
:
00:50:59,810 --> 00:51:02,150
who were 50 doctors in Liberia.
:
00:51:02,150 --> 00:51:03,620
That meant one doctor five.
:
00:51:03,740 --> 00:51:05,510
Oh, and the whole country.
:
00:51:06,860 --> 00:51:10,100
One doctor per 70,000 librarian.
:
00:51:11,120 --> 00:51:15,680
They did not have the infrastructure
to take care of an Ebola outbreak.
:
00:51:15,710 --> 00:51:19,880
So they obviously have to bring in angios
medicines on frontier was one of the.
:
00:51:20,480 --> 00:51:22,790
They're incredible that
that particular NGO.
:
00:51:23,180 --> 00:51:25,850
Making, you know, short of taking
Cory to tell people what an NGO is.
:
00:51:26,400 --> 00:51:28,560
, non-governmental organization.
:
00:51:30,030 --> 00:51:34,080
, And it's doctors without borders,
they come in, you know, with actually
:
00:51:34,080 --> 00:51:37,830
quite limited funding to do these
kinds of crisis types of things.
:
00:51:37,830 --> 00:51:38,190
Yeah.
:
00:51:38,700 --> 00:51:39,600
Can you, sorry.
:
00:51:39,600 --> 00:51:43,350
Will you briefly explain to
people, like, what is a Bola?
:
00:51:43,380 --> 00:51:44,280
How does it spread?
:
00:51:45,060 --> 00:51:45,570
Yeah.
:
00:51:46,050 --> 00:51:49,060
So Ebola is, , it's, it's a virus.
:
00:51:49,870 --> 00:51:50,830
, I'll start with the symptoms.
:
00:51:50,830 --> 00:51:52,840
I just feel like that's
the easiest to start with.
:
00:51:52,900 --> 00:51:56,740
But the virus that it starts
with, like flu, like symptoms.
:
00:51:57,130 --> 00:51:59,050
So all of us have had the flu before.
:
00:51:59,410 --> 00:52:02,710
Headaches body aches, you know, all
of those fever, all of those kinds
:
00:52:02,710 --> 00:52:07,810
of things, but it progressed quite
rapidly into severe vomiting and severe.
:
00:52:08,350 --> 00:52:08,860
Diarrhea.
:
00:52:09,580 --> 00:52:12,130
And that leads to hypovolemic shock.
:
00:52:12,130 --> 00:52:15,430
So what hypovolemic shock is that
you're so dehydrated you're like
:
00:52:15,850 --> 00:52:17,800
your system's basically collapsed.
:
00:52:17,830 --> 00:52:18,130
Okay.
:
00:52:18,220 --> 00:52:22,900
So one of the big sick treatments for
this is Ivy fluids, but you're in Africa.
:
00:52:23,770 --> 00:52:27,250
You don't have that infrastructure
to do IB fluids and you
:
00:52:27,250 --> 00:52:28,420
certainly don't have money.
:
00:52:28,420 --> 00:52:31,210
You know, all of the doctors to
actually do all of this stuff.
:
00:52:31,210 --> 00:52:31,510
So.
:
00:52:32,040 --> 00:52:34,740
, there's other treatment for it,
but that's the basic one to keep
:
00:52:34,740 --> 00:52:36,780
people alive and that's not there.
:
00:52:37,080 --> 00:52:38,190
So people are dying.
:
00:52:38,370 --> 00:52:39,300
How is it transmitted?
:
00:52:39,360 --> 00:52:40,230
Sorry, you're probably getting there.
:
00:52:40,260 --> 00:52:40,530
I'm sorry.
:
00:52:40,560 --> 00:52:40,830
Yeah.
:
00:52:41,160 --> 00:52:42,360
It's body fluids.
:
00:52:42,420 --> 00:52:42,840
Okay.
:
00:52:42,900 --> 00:52:47,020
And, , so it's like tears
and vomit and diarrhea, like.
:
00:52:47,530 --> 00:52:49,270
Stuff that comes out of your body.
:
00:52:49,600 --> 00:52:50,860
Is how it gets transmitted.
:
00:52:50,920 --> 00:52:51,160
Okay.
:
00:52:51,190 --> 00:52:54,340
But it's a really good question
because the other key point number two.
:
00:52:54,340 --> 00:52:58,630
So the first one is that it's pretty
swampy in Liberia during those
:
00:52:58,630 --> 00:52:59,980
months because of rainy season.
:
00:53:00,460 --> 00:53:01,600
But the second point is.
:
00:53:02,170 --> 00:53:06,370
The the most infectious you
are is right before you die.
:
00:53:06,550 --> 00:53:07,120
Oh, cool.
:
00:53:08,320 --> 00:53:12,880
So the viral load, the amount of
virus in your body goes up and up
:
00:53:12,880 --> 00:53:14,680
and up and up, and then you die.
:
00:53:14,800 --> 00:53:15,280
Okay.
:
00:53:15,580 --> 00:53:19,270
And so this is a second critical
point because dead bodies.
:
00:53:19,570 --> 00:53:21,370
Are highly infectious.
:
00:53:21,430 --> 00:53:26,050
Um, and then you have people
because there's no infrastructure.
:
00:53:26,320 --> 00:53:29,320
There's, you know, the hospitals
can't have, they don't have their like
:
00:53:29,350 --> 00:53:31,000
areas where they keep the dead bodies.
:
00:53:31,000 --> 00:53:32,620
So they're just putting
him out in the streets.
:
00:53:32,620 --> 00:53:34,960
People are dying on the streets
right in front of the hospitals.
:
00:53:35,290 --> 00:53:38,410
So dead bodies are like
piling up in Liberia.
:
00:53:39,100 --> 00:53:44,070
During, , March April, June,
like that sort of mid::
00:53:44,880 --> 00:53:45,600
And.
:
00:53:45,600 --> 00:53:46,410
What do you do?
:
00:53:46,440 --> 00:53:48,300
Because there's no place to put that.
:
00:53:49,230 --> 00:53:50,040
Can you burn them?
:
00:53:50,610 --> 00:53:51,420
So that's what they did.
:
00:53:51,540 --> 00:53:51,930
Okay.
:
00:53:52,890 --> 00:53:55,110
But here's , the, the issue is that.
:
00:53:56,130 --> 00:53:57,810
West African culture.
:
00:53:58,350 --> 00:54:02,550
It like having cremation is
like an absolute violation.
:
00:54:02,970 --> 00:54:03,930
Of their culture.
:
00:54:04,020 --> 00:54:04,650
Okay.
:
00:54:05,080 --> 00:54:09,580
So west Africans believe in this
like ultimate paying of respect.
:
00:54:10,000 --> 00:54:11,080
Went to the dead.
:
00:54:11,710 --> 00:54:13,330
And they embalm.
:
00:54:13,750 --> 00:54:16,420
And then for weeks, they'll keep
the body alive where they do a
:
00:54:16,420 --> 00:54:18,190
lot of physical touch to the body.
:
00:54:18,370 --> 00:54:20,650
Combing brushing their teeth.
:
00:54:21,130 --> 00:54:25,210
Letting other relatives come in to
see them and pay their respects.
:
00:54:25,240 --> 00:54:29,800
It's like, it's an important
cultural practice for west Africans.
:
00:54:29,830 --> 00:54:30,220
Okay.
:
00:54:30,340 --> 00:54:32,380
And then they'll do the burial.
:
00:54:33,280 --> 00:54:36,640
And now you're telling them to sever
all those ties through cremation.
:
00:54:37,030 --> 00:54:41,830
Oh, And so it makes sense probably
for people like you and I, that would
:
00:54:41,830 --> 00:54:46,360
probably going to cremate ourselves, but
it does not make sense to west Africa.
:
00:54:46,390 --> 00:54:50,080
So you have a decree that's
made by the president.
:
00:54:50,080 --> 00:54:54,340
Sirleaf in August of:like, I have an untenable situation.
:
00:54:54,490 --> 00:54:56,110
There's bodies lying in the street.
:
00:54:56,260 --> 00:54:57,800
These bodies are infectious.
:
00:54:57,830 --> 00:54:58,280
Yeah.
:
00:54:58,430 --> 00:55:01,640
And there's nothing we
can do except cremate.
:
00:55:02,270 --> 00:55:04,040
But then you have a cultural society.
:
00:55:04,040 --> 00:55:07,220
That's like, we don't believe, like
you're basically telling me I can
:
00:55:07,220 --> 00:55:08,870
never talk to my ancestors again.
:
00:55:08,900 --> 00:55:10,100
Right, right, right.
:
00:55:10,370 --> 00:55:11,270
So what happens?
:
00:55:11,570 --> 00:55:12,800
People find loopholes.
:
00:55:13,160 --> 00:55:15,170
And they started to do secret burials.
:
00:55:15,320 --> 00:55:15,800
Okay.
:
00:55:15,800 --> 00:55:19,760
So what that is is that they're taking
the bodies illegally across different
:
00:55:19,760 --> 00:55:21,770
areas so that they can bury them.
:
00:55:22,130 --> 00:55:26,540
In different parts of Monrovia and
just avoid the sort of cremation.
:
00:55:26,540 --> 00:55:27,380
And what does that do?
:
00:55:27,380 --> 00:55:31,820
You have secret barrels happening
with Ebola infected bodies that
:
00:55:31,820 --> 00:55:35,330
would set off flares of Ebola
in other parts of the country.
:
00:55:35,330 --> 00:55:37,940
Because they're infected radioactive.
:
00:55:38,420 --> 00:55:40,940
Pretty much a chain reaction, so, wow.
:
00:55:40,970 --> 00:55:41,120
But.
:
00:55:41,180 --> 00:55:45,650
You know, as if it's your dad, what do
you do if it's your grandfather Burnham?
:
00:55:45,950 --> 00:55:47,480
Not to west Africans.
:
00:55:49,340 --> 00:55:52,400
This is that per that POV
situation, like for sure have
:
00:55:52,400 --> 00:55:53,960
to understand the anthropology.
:
00:55:54,350 --> 00:55:56,990
To be able to make the right
recommendations for community.
:
00:55:57,140 --> 00:55:59,360
President Shirley did not have a choice.
:
00:55:59,690 --> 00:56:01,910
There were bodies literally
laying on the street.
:
00:56:01,910 --> 00:56:04,670
Like how many people
passed away during that?
:
00:56:05,190 --> 00:56:08,490
Spike the app, the outbreak epidemic.
:
00:56:08,550 --> 00:56:09,240
Feeble epidemic.
:
00:56:09,340 --> 00:56:12,220
. So it is, it was one of the
biggest, , ever recorded.
:
00:56:12,730 --> 00:56:13,810
And this is just the numbers.
:
00:56:13,810 --> 00:56:18,980
We know, I think it was 30,000
people that were, , got.
:
00:56:19,340 --> 00:56:21,860
That people think that's
quite underestimated.
:
00:56:21,890 --> 00:56:22,430
Yeah.
:
00:56:22,940 --> 00:56:25,190
And about almost half of them died.
:
00:56:25,610 --> 00:56:26,330
Wow.
:
00:56:26,960 --> 00:56:27,200
Right.
:
00:56:27,260 --> 00:56:29,990
Is that the traditional
mortality rate for Ebola?
:
00:56:30,020 --> 00:56:31,730
Is it because they're under resourced?
:
00:56:32,390 --> 00:56:35,570
Well, so generally Bolton only
happens in under resource countries.
:
00:56:35,600 --> 00:56:38,780
So like, think about that as
your baseline, but general to,
:
00:56:38,780 --> 00:56:40,250
we call a case fatality rate.
:
00:56:40,730 --> 00:56:45,620
And that is usually between 25 to 75%.
:
00:56:45,650 --> 00:56:45,920
Wow.
:
00:56:46,040 --> 00:56:46,550
That'd be granted.
:
00:56:46,610 --> 00:56:50,030
But the thing is, is that
this has never happened ever.
:
00:56:50,060 --> 00:56:50,120
This.
:
00:56:50,150 --> 00:56:54,230
This magnitude where it spread so
quickly to many countries before.
:
00:56:54,740 --> 00:56:56,240
And what made this unique?
:
00:56:56,270 --> 00:56:57,290
Oh, I love this question.
:
00:56:57,530 --> 00:57:00,500
Obviously the basic questions, like
they don't have infrastructure,
:
00:57:00,830 --> 00:57:03,580
either a public health
infrastructure, health care systems.
:
00:57:03,580 --> 00:57:03,760
So.
:
00:57:03,850 --> 00:57:07,270
Like, you're not taking able to take
care of the patients the way you need to.
:
00:57:07,750 --> 00:57:13,870
But I think the key things was number one
is that it hit it, moved into urban areas.
:
00:57:14,380 --> 00:57:14,710
Okay.
:
00:57:14,890 --> 00:57:15,490
Lot of people.
:
00:57:15,490 --> 00:57:19,000
So that was the initial point I made
where 2 million people, well, when you
:
00:57:19,000 --> 00:57:23,260
start to get Ebola in crowded areas,
you're going to spread pretty quickly.
:
00:57:23,320 --> 00:57:23,830
Yeah.
:
00:57:23,830 --> 00:57:25,570
I think a second point is that.
:
00:57:26,080 --> 00:57:28,510
The international response was delayed.
:
00:57:28,510 --> 00:57:31,270
So there was a lot of Chris'
criticism against the WHL, and I'm
:
00:57:31,300 --> 00:57:34,660
not going to comment that I actually
am not well-versed in it to know.
:
00:57:34,930 --> 00:57:38,620
You know, what's right and wrong, but
there was, and medicine's on frontier.
:
00:57:38,650 --> 00:57:42,550
The director came up and criticized
international community for not.
:
00:57:43,270 --> 00:57:44,290
Helping earlier.
:
00:57:44,380 --> 00:57:44,920
Okay.
:
00:57:45,280 --> 00:57:47,980
Like international response started
when they started to see it in
:
00:57:47,980 --> 00:57:51,340
other countries, the us had 11
cases of Ebola because of this.
:
00:57:52,060 --> 00:57:55,090
And most of those cases
were in medical workers.
:
00:57:55,090 --> 00:57:58,540
So again, that point number
three with Ebola is that.
:
00:57:59,070 --> 00:58:01,530
The population we're going
to pick one that was most
:
00:58:01,530 --> 00:58:03,360
effected our healthcare workers.
:
00:58:03,870 --> 00:58:06,180
These are the people that
are trying to do a good job.
:
00:58:06,630 --> 00:58:09,900
Trying to make sure that their
patients are protected, but not
:
00:58:09,900 --> 00:58:11,730
bringing it home to their own families.
:
00:58:11,730 --> 00:58:13,410
And this is similar to, to COVID.
:
00:58:13,500 --> 00:58:13,950
Yeah.
:
00:58:14,250 --> 00:58:17,070
Like, you know, the protocols
are pretty much of the same.
:
00:58:17,490 --> 00:58:20,880
Well, it was in the beginning
times, but then renew.
:
00:58:21,180 --> 00:58:24,480
You know, you go to Liberia, it's
like a hundred degree weather.
:
00:58:24,750 --> 00:58:29,070
Like they don't have, they don't have
like the sort of capabilities that we
:
00:58:29,070 --> 00:58:33,750
do for like the S the things you need
to do to make yourself your comfortable.
:
00:58:34,080 --> 00:58:37,770
And it's still not, you know, I,
I can wear an N 95 mask because I
:
00:58:37,770 --> 00:58:39,690
do, I still do when I see patients.
:
00:58:39,720 --> 00:58:39,990
Yeah.
:
00:58:40,270 --> 00:58:42,430
My face gets ripped up when I get home.
:
00:58:43,030 --> 00:58:44,470
Those things are tight on your face.
:
00:58:44,500 --> 00:58:46,600
If you wear it properly,
they fuck with your ears.
:
00:58:46,630 --> 00:58:49,660
Like it's not comfortable, it's not
comfortable, but you know, you'd want
:
00:58:49,660 --> 00:58:53,350
to, you want to protect yourself and you
want to picture when you go home, you're
:
00:58:53,350 --> 00:58:55,120
not spreading that to other people.
:
00:58:55,240 --> 00:58:55,720
Absolutely.
:
00:58:55,930 --> 00:58:58,510
So the urban thing was one
of the main reasons that it
:
00:58:58,510 --> 00:59:00,250
spread so quickly, the LA this.
:
00:59:00,520 --> 00:59:04,000
Sort of slow international response
was another criticism for it.
:
00:59:04,000 --> 00:59:04,390
Okay.
:
00:59:04,390 --> 00:59:09,010
I would give so many people Ebola
if I was in Liberia, because I am so
:
00:59:09,040 --> 00:59:12,160
sweaty, like at a hundred degrees,
I'm just picturing myself like,
:
00:59:14,650 --> 00:59:15,970
I'd be given Ventas Ebola, right.
:
00:59:16,000 --> 00:59:16,420
And left.
:
00:59:17,650 --> 00:59:19,570
I wonder how long you would last though.
:
00:59:20,410 --> 00:59:21,010
Five minutes.
:
00:59:21,010 --> 00:59:22,120
I'd be like, is there a Louis Baton?
:
00:59:24,550 --> 00:59:28,630
Um, I just feel like you'd be a dead body
on the street pretty quickly for sure.
:
00:59:28,660 --> 00:59:30,640
But at least everyone would
be like, you can burn her.
:
00:59:33,970 --> 00:59:37,540
You know, it's so what you raise
is a really important point
:
00:59:37,540 --> 00:59:41,290
because another area there was a
lot of inequity in terms of care.
:
00:59:41,650 --> 00:59:42,430
To bring it back.
:
00:59:42,460 --> 00:59:42,970
Yeah.
:
00:59:43,450 --> 00:59:43,990
And.
:
00:59:44,510 --> 00:59:48,650
ent to Liberia in November of::
00:59:48,650 --> 00:59:51,980
So at this point, The cases were
actually starting to come down.
:
00:59:52,820 --> 00:59:54,590
And again, because of the process safe.
:
00:59:54,920 --> 00:59:56,600
Uh, lots of things were happening.
:
00:59:56,600 --> 01:00:00,380
So contact tracing to make sure
like we're containing the virus.
:
01:00:01,130 --> 01:00:05,390
The cremation policy, like multiple things
were happening and you know, medicine's
:
01:00:05,390 --> 01:00:07,010
on frontier taking care of patients.
:
01:00:07,400 --> 01:00:10,130
To make sure patients like
they weren't spreading.
:
01:00:10,220 --> 01:00:10,460
Yeah.
:
01:00:10,850 --> 01:00:11,420
So.
:
01:00:11,940 --> 01:00:15,360
, it started to come down when I was getting
there, but this is always the issue
:
01:00:15,360 --> 01:00:17,250
with the, they call it the last mile.
:
01:00:17,820 --> 01:00:20,220
And the idea of the last mile
is like, you're no longer
:
01:00:20,220 --> 01:00:21,270
at the height of the thing.
:
01:00:21,360 --> 01:00:23,280
Like, it just keeps going.
:
01:00:23,280 --> 01:00:27,180
Like the tail keeps man, you know, it
keeps going and if you don't manage
:
01:00:27,210 --> 01:00:29,700
the tail, it could come back up again.
:
01:00:29,760 --> 01:00:30,030
Okay.
:
01:00:30,030 --> 01:00:30,570
That makes sense.
:
01:00:31,260 --> 01:00:34,260
And so, , when I got there, I
was supposed to do infection
:
01:00:34,290 --> 01:00:36,600
control stuff like training.
:
01:00:36,660 --> 01:00:36,990
Yeah.
:
01:00:37,260 --> 01:00:40,790
But, , I sort of switched roles when I
got there and you just, you know, We're
:
01:00:40,790 --> 01:00:42,920
nimble when we go with CDC deploys.
:
01:00:42,980 --> 01:00:44,000
We just do what we're told.
:
01:00:44,590 --> 01:00:48,690
, and I ended up, , being assigned
to the, the, the safe and dignified
:
01:00:48,690 --> 01:00:51,720
burial team as a CDC sort of assignee.
:
01:00:52,050 --> 01:00:55,380
And what that means is that this
issue with dead bodies like floating
:
01:00:55,410 --> 01:00:59,910
around and dead bodies being a good
indicator of how the outbreak is going.
:
01:01:00,300 --> 01:01:02,820
So my specific role was actually just to.
:
01:01:03,400 --> 01:01:06,640
Actually analyze the data to
be like, is the trend the,
:
01:01:06,730 --> 01:01:08,860
the number of positive people.
:
01:01:09,130 --> 01:01:09,880
Is that coming down?
:
01:01:10,060 --> 01:01:10,450
Yeah.
:
01:01:11,320 --> 01:01:13,480
And it was, which was
really exciting to see.
:
01:01:13,630 --> 01:01:17,710
So despite, you know, trains are coming
down and there's still a lot of secret
:
01:01:17,710 --> 01:01:19,930
barrels happening because people are like,
:
01:01:20,430 --> 01:01:21,750
The trends are coming down.
:
01:01:22,260 --> 01:01:22,950
Where those, sorry.
:
01:01:23,130 --> 01:01:26,250
Were, were people, would you get in
trouble if you were caught for that?
:
01:01:26,250 --> 01:01:27,510
Or was it sort of like a half?
:
01:01:27,510 --> 01:01:31,730
It's not important to get like, go,
like how strict . Was the government.
:
01:01:32,360 --> 01:01:33,890
So they were strict.
:
01:01:34,070 --> 01:01:35,360
If you didn't have money.
:
01:01:35,720 --> 01:01:37,760
Ah, this is the equity issue.
:
01:01:37,850 --> 01:01:38,060
Okay.
:
01:01:38,120 --> 01:01:41,720
So CDC had a test that would
be able to test dead bodies.
:
01:01:41,720 --> 01:01:43,040
It was like a cheek swab.
:
01:01:43,100 --> 01:01:43,610
Okay.
:
01:01:43,700 --> 01:01:44,810
But who had asked you that?
:
01:01:45,110 --> 01:01:45,590
I didn't.
:
01:01:45,590 --> 01:01:47,090
So I didn't do it specifically.
:
01:01:47,330 --> 01:01:50,660
You know, but our CDC is the
one that developed the test.
:
01:01:50,690 --> 01:01:51,080
Okay.
:
01:01:51,110 --> 01:01:55,190
But it's not intended to be
like you Erica have Ebola.
:
01:01:55,220 --> 01:01:59,750
It's a, it was like a population test
to just basically understand the trends.
:
01:01:59,810 --> 01:01:59,990
Okay.
:
01:02:00,350 --> 01:02:04,790
But people started using the test
to be like my uncle who died doesn't
:
01:02:04,790 --> 01:02:06,500
have Ebola because that test.
:
01:02:06,890 --> 01:02:08,180
Uh, it was negative.
:
01:02:08,630 --> 01:02:10,010
Now who gets those tests.
:
01:02:10,370 --> 01:02:11,660
It's not poor people.
:
01:02:11,720 --> 01:02:13,880
It's not people that don't have access.
:
01:02:14,660 --> 01:02:17,300
And so what ended up happening is
that you would have these like,
:
01:02:17,990 --> 01:02:21,050
Like L like massive, like funerals.
:
01:02:21,650 --> 01:02:26,270
Not cremations, but actual burials
happening with rich people that
:
01:02:26,270 --> 01:02:29,120
were in these cemeteries, in these
like burial areas were happening
:
01:02:29,150 --> 01:02:30,410
in the poor parts of town.
:
01:02:30,500 --> 01:02:31,040
Yeah.
:
01:02:31,280 --> 01:02:33,770
And the poor people are sitting
there looking at it and saying, I
:
01:02:33,770 --> 01:02:34,850
don't understand what's going on.
:
01:02:34,880 --> 01:02:36,410
Like, why do they get to Berry?
:
01:02:36,410 --> 01:02:40,940
And my grandfather had to die
through cremation right now.
:
01:02:40,970 --> 01:02:42,830
If you were living
there, what would you do?
:
01:02:43,570 --> 01:02:44,410
If I was living there.
:
01:02:44,440 --> 01:02:44,740
Yeah.
:
01:02:44,800 --> 01:02:50,410
If you were like, didn't have the means
or access and you saw that happening.
:
01:02:50,830 --> 01:02:52,810
With wealthy people having burials.
:
01:02:52,840 --> 01:02:53,290
Yeah.
:
01:02:54,400 --> 01:02:55,990
I mean, I'd be like, fuck
this, if they can do it.
:
01:02:55,990 --> 01:02:57,100
So can I, exactly.
:
01:02:57,160 --> 01:02:57,880
So that's what happened.
:
01:02:57,970 --> 01:03:02,010
And that's the sort of kept launching
the secret burials , that were happening.
:
01:03:02,010 --> 01:03:05,760
So there were smuggling, uh, bodies
happening across center across like you.
:
01:03:06,300 --> 01:03:07,260
The rivers there.
:
01:03:07,980 --> 01:03:11,070
And there was, um, sort of infamous story.
:
01:03:11,460 --> 01:03:11,850
Of.
:
01:03:12,460 --> 01:03:17,290
, a woman who had died in new crew
town, which is one of the very
:
01:03:17,290 --> 01:03:19,210
heavily dense areas of Monrovia.
:
01:03:19,390 --> 01:03:19,630
Okay.
:
01:03:19,960 --> 01:03:24,250
And she actually was the daughter
of one of the tribal leaders.
:
01:03:24,730 --> 01:03:27,100
In another county, like
the neighboring county.
:
01:03:27,160 --> 01:03:30,430
So this is a big deal cause tribal
leaders, again, 15 counties.
:
01:03:30,700 --> 01:03:33,070
Tribal leaders are the ones
that actually run the show.
:
01:03:33,130 --> 01:03:33,610
Okay.
:
01:03:34,240 --> 01:03:37,080
So they, , put lipstick on her.
:
01:03:38,430 --> 01:03:39,900
They put sunglasses on her.
:
01:03:40,050 --> 01:03:41,340
Oh, my God, we got to Bernice.
:
01:03:41,990 --> 01:03:43,730
They put her in a taxi.
:
01:03:44,540 --> 01:03:48,740
And they had two family members
holding her up in the taxi cab.
:
01:03:49,250 --> 01:03:51,620
And completely did a weekend
of already situation.
:
01:03:52,040 --> 01:03:54,380
Ran or across the district,
like the county lines.
:
01:03:54,950 --> 01:03:58,670
And so that she could have
like an actual burial.
:
01:03:59,030 --> 01:04:02,000
Well, she ended up actually
having Ebola because someone sort
:
01:04:02,000 --> 01:04:04,060
of, , tipped off the security guard.
:
01:04:04,450 --> 01:04:08,140
And then one of the NGOs was able
to run and get that cheek swab.
:
01:04:08,350 --> 01:04:08,860
Oh, my God.
:
01:04:09,130 --> 01:04:11,080
There were thousands of
people at that barrel.
:
01:04:11,320 --> 01:04:12,310
Oh,
:
01:04:14,050 --> 01:04:17,650
If you don't understand the
anthropology of your guidance, you
:
01:04:17,650 --> 01:04:18,790
are going to do this kind of stuff.
:
01:04:18,820 --> 01:04:20,110
And this goes back to COVID.
:
01:04:20,380 --> 01:04:21,130
Yeah.
:
01:04:21,190 --> 01:04:24,850
You have to understand what a
community is willing to accept.
:
01:04:26,020 --> 01:04:27,580
And I think.
:
01:04:27,580 --> 01:04:30,640
You know, for CDC, this is
like one of our priorities.
:
01:04:30,640 --> 01:04:33,790
Like we have make guidance because it's
evidence-based, but we want to know,
:
01:04:33,820 --> 01:04:35,920
like, does that resonate with you?
:
01:04:36,430 --> 01:04:38,080
You know, they're not
going to adhere to it.
:
01:04:38,080 --> 01:04:38,950
It doesn't matter.
:
01:04:39,010 --> 01:04:41,800
You can, you can be very pure
about the science, but if it's not
:
01:04:41,800 --> 01:04:42,940
implementable, what are you going to do?
:
01:04:43,120 --> 01:04:44,380
Yeah, absolutely.
:
01:04:45,070 --> 01:04:45,790
Wow.
:
01:04:46,470 --> 01:04:49,680
So when I got there again, it
was, you know, all this stuff
:
01:04:49,740 --> 01:04:53,910
likes to floating around about the
secret burials and this like dis.
:
01:04:54,570 --> 01:04:59,130
Inequity happening between, you know,
the wealthier population of Liberia.
:
01:04:59,700 --> 01:05:01,620
And I.
:
01:05:01,620 --> 01:05:02,850
It was just following along.
:
01:05:02,850 --> 01:05:06,029
Like I was trying to understand the
situation I was connecting with partners
:
01:05:06,029 --> 01:05:10,779
like these amazing Liberians that
are doing everything they can to get
:
01:05:10,779 --> 01:05:12,940
this country out of this outbreak.
:
01:05:13,630 --> 01:05:18,040
And I went on a burial
run with the red cross.
:
01:05:18,040 --> 01:05:19,660
And that was, , the first
time I had done that.
:
01:05:19,900 --> 01:05:20,800
I'd done it a few times.
:
01:05:21,490 --> 01:05:23,590
And there was a man.
:
01:05:23,590 --> 01:05:26,230
He was an elderly man that had a hat.
:
01:05:26,260 --> 01:05:30,640
Basically he was in his boat
and canoe in this little stream
:
01:05:30,700 --> 01:05:32,710
fishing, I guess, down river.
:
01:05:33,320 --> 01:05:37,400
, from this village and he had a heart
attack and died and basically drowned.
:
01:05:37,400 --> 01:05:38,660
So the rug.
:
01:05:38,779 --> 01:05:39,740
And poor, right?
:
01:05:39,740 --> 01:05:45,350
Like, so the red cross came in and
was like, I'm sorry, even though I,
:
01:05:45,440 --> 01:05:47,390
we know, like this was not Ebola.
:
01:05:47,690 --> 01:05:48,860
We're going to have to cremate him.
:
01:05:49,340 --> 01:05:55,250
And I can't like, I still hear
it, this like guttural wailing
:
01:05:55,430 --> 01:05:56,810
from the women in the village.
:
01:05:56,840 --> 01:05:57,380
It's like that.
:
01:05:58,490 --> 01:05:59,540
I don't know if you've heard.
:
01:05:59,570 --> 01:05:59,960
Yeah.
:
01:06:00,020 --> 01:06:05,840
Most African women's it is this guttural
sound that you feel it in your stomach.
:
01:06:06,500 --> 01:06:07,010
That.
:
01:06:07,970 --> 01:06:10,190
As they were fishing him out of there.
:
01:06:10,730 --> 01:06:14,150
Uh, you know, just the fact that,
uh, an elder had died in the village,
:
01:06:14,240 --> 01:06:16,880
but that they were never going to
be able to connect with him again,
:
01:06:16,880 --> 01:06:19,100
because he was going to be cremated.
:
01:06:19,790 --> 01:06:21,680
Why did he have to be cremated?
:
01:06:22,370 --> 01:06:23,330
That was the policy.
:
01:06:23,390 --> 01:06:27,260
So any dead body, even if
it was for sure, not Ebola.
:
01:06:27,980 --> 01:06:30,710
I mean, it was always like the,
did you know, kind of thing.
:
01:06:30,710 --> 01:06:33,470
Cause we never had that individual test.
:
01:06:33,470 --> 01:06:33,830
Right.
:
01:06:33,920 --> 01:06:34,340
Oh, I see.
:
01:06:34,340 --> 01:06:34,610
Okay.
:
01:06:34,640 --> 01:06:34,880
Okay.
:
01:06:34,880 --> 01:06:35,120
Okay.
:
01:06:35,510 --> 01:06:38,779
But it wasn't happening because
wealthier people had access to
:
01:06:38,779 --> 01:06:42,200
the test and were able to somehow
now, you know, circumnavigate
:
01:06:42,200 --> 01:06:44,300
the, the, the, the decree, right.
:
01:06:44,360 --> 01:06:44,930
And.
:
01:06:45,260 --> 01:06:46,220
These folks didn't.
:
01:06:46,730 --> 01:06:53,450
And I was like, So like, uh, I honestly,
I still have trauma from watching that
:
01:06:53,480 --> 01:06:58,730
when it, you know, this could be anyone's
parents that you see this happen to.
:
01:06:59,360 --> 01:07:02,900
And so after that, when it got
really, really visible, like,
:
01:07:02,960 --> 01:07:04,550
I mean, I saw it, I felt it.
:
01:07:04,580 --> 01:07:07,460
I heard it , you know, all
the senses, like come alive.
:
01:07:08,000 --> 01:07:10,040
It became a different story for me.
:
01:07:10,130 --> 01:07:10,460
Yeah.
:
01:07:10,520 --> 01:07:12,160
And, Kind of became a rebel.
:
01:07:12,550 --> 01:07:14,560
And I was like a civil
rights person, even though.
:
01:07:15,400 --> 01:07:18,070
I'm role, I'm supposed
to analyze the data.
:
01:07:18,550 --> 01:07:22,750
And we started to find ways I started to
partner with the international librarian,
:
01:07:22,779 --> 01:07:27,370
red cross global communities, Masaka
follow who's it's giant and Liberia.
:
01:07:27,820 --> 01:07:29,740
To be like, this is no longer.
:
01:07:29,740 --> 01:07:30,220
Okay.
:
01:07:30,310 --> 01:07:30,610
Yeah.
:
01:07:30,640 --> 01:07:34,930
And what it was hinging on,
all of this was $300,000.
:
01:07:34,960 --> 01:07:38,560
Now I just want to be with, put that in
context because the United States spent
:
01:07:38,590 --> 01:07:43,990
over , $30 billion to stop the outbreak,
the Ebola outbreak in west Africa.
:
01:07:44,350 --> 01:07:46,660
This is literally drops in the bucket.
:
01:07:46,750 --> 01:07:47,260
That's nothing.
:
01:07:47,620 --> 01:07:49,840
What that money was for is to buy.
:
01:07:49,870 --> 01:07:53,080
It was a negotiation between
the librarian government and
:
01:07:53,080 --> 01:07:56,320
a tribe to buy a plot of land.
:
01:07:56,740 --> 01:07:58,840
That could be used for a cemetery.
:
01:07:58,840 --> 01:08:01,990
And that cemetery would be
away from the swampy land.
:
01:08:02,590 --> 01:08:05,230
And in a way that was going to
be soup, like they would do the
:
01:08:05,230 --> 01:08:08,540
bleaching and all the things to make
sure Ebola was off the body, but
:
01:08:08,540 --> 01:08:10,490
that people could actually be buried.
:
01:08:10,730 --> 01:08:11,990
It seems like a great compromise.
:
01:08:12,260 --> 01:08:13,610
Why did it take four months?
:
01:08:13,640 --> 01:08:16,550
It took months to get
this negotiation in line.
:
01:08:16,790 --> 01:08:20,000
So, you know, there was this
whole thing of like, I'm like.
:
01:08:20,660 --> 01:08:22,550
Like, you know, talking
to the U S ambassador.
:
01:08:22,550 --> 01:08:25,609
I'm like, if you can't get this
thing, So at this point, I'm like
:
01:08:25,609 --> 01:08:27,529
working on one adrenaline likes.
:
01:08:27,800 --> 01:08:29,149
Like adrenal gland cell.
:
01:08:29,149 --> 01:08:30,890
I was like, so fired up.
:
01:08:31,250 --> 01:08:33,170
I lost like 15 bounds.
:
01:08:33,170 --> 01:08:33,200
Like.
:
01:08:33,620 --> 01:08:34,850
You don't care anymore?
:
01:08:34,880 --> 01:08:35,870
Like what an asshole.
:
01:08:36,319 --> 01:08:37,819
Or you're just like survival.
:
01:08:38,029 --> 01:08:40,309
In survival mode because
they're in survival though.
:
01:08:40,340 --> 01:08:40,790
Right?
:
01:08:41,180 --> 01:08:45,470
And so you're doing what you can to
make that switched, to be like the
:
01:08:45,470 --> 01:08:47,420
advocate for the Liberian people.
:
01:08:47,420 --> 01:08:49,190
That couldn't be their own advocate.
:
01:08:49,700 --> 01:08:50,840
And I'm not just saying it was me.
:
01:08:50,840 --> 01:08:54,830
I mean, I was the dead body
person at my, uh, My predecessor.
:
01:08:55,430 --> 01:08:56,390
It got really dark.
:
01:08:57,170 --> 01:09:01,120
But my predecessor, her nickname
was, , her last name is so they
:
01:09:01,120 --> 01:09:02,470
called her Haber's cadavers.
:
01:09:03,550 --> 01:09:04,600
You kind of have to.
:
01:09:05,529 --> 01:09:07,899
Well, mine was Mo dead bodies.
:
01:09:07,960 --> 01:09:08,620
Oh.
:
01:09:08,740 --> 01:09:09,790
It just, yeah.
:
01:09:09,910 --> 01:09:10,899
It's gallows humor.
:
01:09:11,109 --> 01:09:14,380
Basically I'm here for it, but
you know, you, you do what you
:
01:09:14,380 --> 01:09:16,270
gotta do to get that done and.
:
01:09:16,779 --> 01:09:18,520
Humor into situations like
that too, because there's
:
01:09:18,520 --> 01:09:19,779
no way to survive otherwise.
:
01:09:20,080 --> 01:09:20,590
Yeah.
:
01:09:20,590 --> 01:09:24,670
Like that's the only, you ha you have
to find those little glimmers of yeah.
:
01:09:24,729 --> 01:09:25,120
Yeah.
:
01:09:25,479 --> 01:09:28,750
So the pole, the politics around
it was just, it was so disgusting.
:
01:09:29,450 --> 01:09:33,140
, and just slow and you're like,
My dad, like, you know, you start
:
01:09:33,140 --> 01:09:34,760
to get very personal about it.
:
01:09:34,790 --> 01:09:35,240
Yeah.
:
01:09:35,750 --> 01:09:39,830
So, um, anyway, the goal was to
get the cemetery up and running
:
01:09:39,830 --> 01:09:42,800
so that no one would have to get
cremated unless they wanted to.
:
01:09:42,890 --> 01:09:43,220
Yeah.
:
01:09:43,290 --> 01:09:44,910
, that happened on December 25th.
:
01:09:44,940 --> 01:09:46,620
I had extended like one week, two weeks.
:
01:09:46,620 --> 01:09:47,790
I was supposed to be there for a month.
:
01:09:47,819 --> 01:09:49,410
I ended up for like two months there.
:
01:09:49,410 --> 01:09:49,590
Right.
:
01:09:50,069 --> 01:09:54,000
Um, the cemetery got launched on
the 25th of December Christmas.
:
01:09:54,029 --> 01:09:54,450
Wow.
:
01:09:54,809 --> 01:09:55,890
And I left the next day.
:
01:09:56,010 --> 01:09:56,760
Oh my gosh.
:
01:09:56,790 --> 01:09:58,020
My work is done here.
:
01:09:59,430 --> 01:10:00,300
I felt.
:
01:10:00,600 --> 01:10:03,360
I couldn't leave until
that, that that happened.
:
01:10:03,390 --> 01:10:05,340
And it wasn't for me,
it was the SoCo Fala.
:
01:10:05,970 --> 01:10:06,120
Yeah.
:
01:10:06,330 --> 01:10:09,020
Um, when I, I remember you talking
about him , after you got back
:
01:10:09,020 --> 01:10:10,820
and the impact that he had on you.
:
01:10:11,059 --> 01:10:13,220
Oh, He's so such an incredible human.
:
01:10:13,430 --> 01:10:16,550
When I brought him, I
didn't tell him I was that.
:
01:10:16,610 --> 01:10:17,330
That was done.
:
01:10:17,330 --> 01:10:17,960
He didn't know.
:
01:10:18,440 --> 01:10:19,280
So I'm like Osaka.
:
01:10:19,280 --> 01:10:20,690
It was like a sad Sunday.
:
01:10:20,870 --> 01:10:24,020
I can't remember December 20, it
was December 24th or something.
:
01:10:24,650 --> 01:10:25,190
I was like, miss luck.
:
01:10:25,220 --> 01:10:26,300
I have a surprise for you.
:
01:10:26,809 --> 01:10:27,800
, can I pick you up?
:
01:10:27,860 --> 01:10:29,960
And he didn't know where we
were going now again, he's.
:
01:10:29,960 --> 01:10:31,130
He's from that.
:
01:10:31,190 --> 01:10:31,460
Right.
:
01:10:31,490 --> 01:10:33,350
He is he's Liberian.
:
01:10:33,380 --> 01:10:33,830
Yeah.
:
01:10:33,890 --> 01:10:38,000
And I brought him to the cemetery.
:
01:10:38,090 --> 01:10:40,730
And he like, he's a big
man, like huge couple.
:
01:10:40,910 --> 01:10:41,750
A couple hundred pounds.
:
01:10:42,170 --> 01:10:43,610
Like I felt his knees.
:
01:10:44,450 --> 01:10:45,710
And he started crying.
:
01:10:45,740 --> 01:10:46,400
Oh my God.
:
01:10:46,940 --> 01:10:48,530
Like sobbing.
:
01:10:49,309 --> 01:10:51,170
And I'm crying and he's crying.
:
01:10:51,170 --> 01:10:53,600
Like everyone is crying
because it's ready.
:
01:10:53,630 --> 01:10:57,570
It's ready to finally stop
this issue about equity.
:
01:10:57,900 --> 01:10:59,250
And his Yeah.
:
01:10:59,400 --> 01:11:02,309
And you know, I, um, I don't know.
:
01:11:02,490 --> 01:11:06,450
I just, I will never
forget that image of him.
:
01:11:07,080 --> 01:11:09,120
This big man falling to his knees.
:
01:11:09,570 --> 01:11:10,170
Praying got.
:
01:11:10,230 --> 01:11:12,690
Like, he was like, you
know, lifting up to have it.
:
01:11:12,690 --> 01:11:15,240
I'm not religious, but
like he was lifting up.
:
01:11:15,720 --> 01:11:15,990
Saying.
:
01:11:16,020 --> 01:11:16,380
Thank you.
:
01:11:16,380 --> 01:11:16,680
Thank you.
:
01:11:16,680 --> 01:11:17,190
Thank you.
:
01:11:17,190 --> 01:11:17,490
Like.
:
01:11:18,059 --> 01:11:18,840
It was just like, you've got.
:
01:11:18,900 --> 01:11:19,500
Big milestone.
:
01:11:21,809 --> 01:11:26,280
But you don't, you start to like, You
don't care about what you believe or not.
:
01:11:26,280 --> 01:11:26,550
Right.
:
01:11:26,550 --> 01:11:28,200
It's all about like, what does he believe?
:
01:11:28,200 --> 01:11:30,420
Cause I'm going to believe what
he believes, because he finally
:
01:11:30,420 --> 01:11:35,309
felt that, you know, a major
milestone for, for that country.
:
01:11:35,520 --> 01:11:40,200
Looking back over the expanse
of your career, is that one of
:
01:11:40,200 --> 01:11:43,020
the most profound moments of
like, this is why I do what I do.
:
01:11:43,530 --> 01:11:46,830
I think for me, I mean, there's lots
of things I do that I feel are very
:
01:11:46,830 --> 01:11:50,520
impactful, but I think just personally
for me, it's when I'm in the field.
:
01:11:50,550 --> 01:11:50,880
Yeah.
:
01:11:50,940 --> 01:11:54,920
And when I'm working with other people
that are just . . Like putting themselves
:
01:11:54,920 --> 01:11:56,870
at risk, like Masaka does every day.
:
01:11:57,410 --> 01:12:01,750
And, , understanding how the
community actually solves
:
01:12:01,750 --> 01:12:03,309
problems for their community.
:
01:12:03,370 --> 01:12:03,670
Right?
:
01:12:03,670 --> 01:12:05,450
It pulls you off, , whatever.
:
01:12:05,840 --> 01:12:09,860
Version of you think is up there to make
sure, like, actually what you're saying
:
01:12:09,860 --> 01:12:12,140
at CDC is action to be implementable.
:
01:12:12,170 --> 01:12:12,680
Yeah.
:
01:12:13,430 --> 01:12:14,000
Wow.
:
01:12:14,000 --> 01:12:17,660
I think there's a lot of amazing
takeaways and parallels that
:
01:12:17,660 --> 01:12:20,390
that story can be applied to
:
01:12:20,420 --> 01:12:22,610
I mean, I think the
one thing I would love.
:
01:12:22,610 --> 01:12:27,080
You know, what I think is that I'm just
like one person at CDC that did that.
:
01:12:27,350 --> 01:12:29,120
There's so many of us.
:
01:12:29,570 --> 01:12:32,600
That do this, that puts
themselves at risk.
:
01:12:32,600 --> 01:12:36,110
We have people propelling out
of helicopters into Afghanistan.
:
01:12:36,110 --> 01:12:38,510
, I had one of my colleagues
also in Liberia.
:
01:12:38,809 --> 01:12:41,570
Get chased out of a village,
like with a machete.
:
01:12:42,320 --> 01:12:45,260
, We go into situations where we
don't know what the virus is.
:
01:12:45,260 --> 01:12:46,700
We don't actually know how to control it.
:
01:12:47,270 --> 01:12:49,850
And public health workers , are.
:
01:12:50,360 --> 01:12:53,930
Literally sort of individually putting
themselves at risk all the time.
:
01:12:53,990 --> 01:12:54,320
Yeah.
:
01:12:54,890 --> 01:12:57,500
But I don't think any
of us would change that.
:
01:12:57,559 --> 01:13:03,890
Like, You know, I think we just feel
like not to sit some right thing to do,
:
01:13:03,890 --> 01:13:07,280
but it's like, It's a calling, I guess.
:
01:13:07,400 --> 01:13:08,059
Does that make sense?
:
01:13:08,450 --> 01:13:10,640
It's just about to say, you're
obviously called to do that.
:
01:13:10,700 --> 01:13:11,000
Yeah.
:
01:13:11,059 --> 01:13:14,960
I don't think that there would be another
place that I would feel more satisfied.
:
01:13:14,960 --> 01:13:18,559
Of course, there's things I want to change
at, you know, it's the government, right?
:
01:13:19,010 --> 01:13:20,420
It's not perfect.
:
01:13:20,480 --> 01:13:20,870
Sure.
:
01:13:21,170 --> 01:13:25,100
But the work that I think we do
at the agency, again, not perfect.
:
01:13:25,490 --> 01:13:28,550
There's always room for improvement,
but that's what our individual goals are
:
01:13:28,550 --> 01:13:33,350
growth in being a better version of we
are, you know, tomorrow than we are today.
:
01:13:33,470 --> 01:13:36,140
Yeah, but that fire it's like.
:
01:13:36,710 --> 01:13:42,020
I had a mentor say to this, to me, it is
the fire in our belly to do this work.
:
01:13:42,650 --> 01:13:43,520
And I just don't.
:
01:13:44,030 --> 01:13:47,360
Like any version of this, I
don't really see being different.
:
01:13:47,360 --> 01:13:51,950
And I'm not saying just, just for me,
I'm saying many of us at the agency.
:
01:13:52,309 --> 01:13:53,090
It is a calling.
:
01:13:53,180 --> 01:13:53,660
Yeah.
:
01:13:54,290 --> 01:13:55,850
Oh, that's so beautiful.
:
01:13:56,059 --> 01:13:57,800
Thank you for all of your hard work.
:
01:13:57,800 --> 01:13:59,120
I mean, it's so impressive.
:
01:13:59,120 --> 01:14:01,580
And I can't imagine what the world
would look like if we didn't have
:
01:14:01,580 --> 01:14:05,020
people like you, who . Had that
calling and answered the call.
:
01:14:05,020 --> 01:14:08,950
I mean, I think a lot of people
live their lives, knowing that
:
01:14:08,950 --> 01:14:11,680
there's a phone ringing and
they're like, I can't answer it.
:
01:14:11,920 --> 01:14:15,550
And it's a really beautiful thing
to see what you can create and the
:
01:14:15,550 --> 01:14:17,320
impact that you can have when you do.
:
01:14:17,320 --> 01:14:17,590
Yeah.
:
01:14:18,100 --> 01:14:21,370
Cheers to cheers to my
colleagues in public health.
:
01:14:21,400 --> 01:14:21,880
Yes.
:
01:14:21,910 --> 01:14:22,390
Cheers.
:
01:14:22,780 --> 01:14:23,470
And thank you.
:
01:14:24,880 --> 01:14:25,660
I love you, Erica.
:
01:14:26,110 --> 01:14:26,680
I love you.
:
01:14:27,910 --> 01:14:33,280
. Well, damn Mo this has been
so interesting, so inspiring.
:
01:14:33,550 --> 01:14:37,330
And , if you've listened to this far,
I, I hope that you've enjoyed this
:
01:14:37,330 --> 01:14:40,990
little snippet of somebody who I get
to enjoy so much more frequently.
:
01:14:41,360 --> 01:14:42,290
, I just.
:
01:14:43,340 --> 01:14:45,800
What do you think people's takeaway
should be from this episode?
:
01:14:46,010 --> 01:14:46,520
Hmm.
:
01:14:47,780 --> 01:14:53,120
So, I guess number one is, I think you
said this really articulately where take,
:
01:14:53,480 --> 01:14:55,400
when you're getting information vet it.
:
01:14:56,059 --> 01:15:00,620
You know, like take, do due diligence
to make sure like what you actually are
:
01:15:00,620 --> 01:15:02,570
hearing is really what you should believe.
:
01:15:02,600 --> 01:15:02,930
Yeah.
:
01:15:03,500 --> 01:15:05,120
, maybe number two is.
:
01:15:05,120 --> 01:15:08,780
There is a version, a
balance between agency.
:
01:15:09,260 --> 01:15:15,110
And individual autonomy and taking care
of, you know, outside of yourself and
:
01:15:15,200 --> 01:15:16,940
that might be different for every person.
:
01:15:17,030 --> 01:15:17,390
Yeah.
:
01:15:17,630 --> 01:15:19,220
Like your stage might be different.
:
01:15:19,220 --> 01:15:23,330
I feel like my mom's her state, my, my
mom's stages, her family, like her family.
:
01:15:23,660 --> 01:15:25,400
My stage is a global stage.
:
01:15:25,430 --> 01:15:25,610
Yeah.
:
01:15:26,360 --> 01:15:29,240
Find out what that stage is
for you, but it shouldn't just
:
01:15:29,240 --> 01:15:31,040
be you on the stage, I guess.
:
01:15:32,540 --> 01:15:33,500
I love that.
:
01:15:34,190 --> 01:15:36,470
Well, but so yes, who's on stage.
:
01:15:36,470 --> 01:15:36,710
Who else?
:
01:15:36,980 --> 01:15:39,680
On stage that you are going
to make sure it's okay.
:
01:15:39,740 --> 01:15:40,220
Yes.
:
01:15:40,430 --> 01:15:42,140
And if your answer is just
you, you're the problem.
:
01:15:43,730 --> 01:15:46,640
No, just think more, think, think broader.
:
01:15:50,120 --> 01:15:53,330
And watch, , into the wild maybe
and realize like you can't just
:
01:15:53,330 --> 01:15:56,720
be on the stage by yourself,
unhappy life, if you do.
:
01:15:56,930 --> 01:15:57,380
Yeah.
:
01:15:57,500 --> 01:15:58,070
Oh, that's really.
:
01:15:58,130 --> 01:15:59,000
Those barriers, man.
:
01:15:59,570 --> 01:16:01,220
Don't eat those berries every time.
:
01:16:03,920 --> 01:16:04,400
I love it.
:
01:16:04,700 --> 01:16:07,220
Well, Mo thank you so much for your time.
:
01:16:07,250 --> 01:16:11,960
Thank you so much for your, Canda does
sharing of interesting information
:
01:16:11,960 --> 01:16:15,740
and just your stories and your,
your hard work and perseverance.
:
01:16:15,740 --> 01:16:18,160
It's really inspiring and cool
talking to people like you.
:
01:16:18,190 --> 01:16:21,870
And, I hope that we've done a good
and entertaining job of kind of
:
01:16:21,870 --> 01:16:25,470
lifting the veil of public health
and letting people just connect with
:
01:16:25,470 --> 01:16:28,950
an access, just a regular human
being who's just out there trying
:
01:16:28,950 --> 01:16:30,150
to make an impact and do their best.
:
01:16:30,150 --> 01:16:31,320
It's really fucking cool.
:
01:16:31,320 --> 01:16:35,850
And I love that you're making an impact
in your, in whatever stage you are,
:
01:16:35,850 --> 01:16:37,890
which is not just you on that stage.
:
01:16:39,360 --> 01:16:40,350
Despite my best.
:
01:16:43,710 --> 01:16:45,059
Thank you Erica for having me.
:
01:16:45,090 --> 01:16:45,450
Yes.
:
01:16:45,480 --> 01:16:46,620
Thank you so much for your time.
:
01:16:46,780 --> 01:16:49,630
Well, if you've made it this far,
thank you so much again, for listening
:
01:16:49,630 --> 01:16:54,160
to this episode of Clover club,
as always listeners get 10% off.
:
01:16:54,400 --> 01:16:55,480
Mo's refilling my wine glass.
:
01:16:55,690 --> 01:16:57,550
Uh, listeners get 10% off.
:
01:16:58,450 --> 01:17:03,580
At Hawkins and clover.com with
promo code Clover club, all caps.
:
01:17:03,820 --> 01:17:07,330
And you can find us on
Instagram at Clover club pod.
:
01:17:07,630 --> 01:17:11,890
And it's been a while since I've
asked for, , you know, like ratings
:
01:17:11,890 --> 01:17:13,390
or reviews or anything like that.
:
01:17:13,390 --> 01:17:17,380
But if you have enjoyed this episode
or any episodes, , I'd love it.
:
01:17:17,380 --> 01:17:21,309
If you take the two seconds to just
give us little boop rating or one
:
01:17:21,309 --> 01:17:24,430
minute to write a little review, every
single one makes such a difference.
:
01:17:24,650 --> 01:17:25,220
, and yes.
:
01:17:25,250 --> 01:17:26,390
Thank you so much.
:
01:17:26,440 --> 01:17:27,190
, for listening.
:
01:17:27,220 --> 01:17:28,960
Mo thank you again for your time.
:
01:17:29,320 --> 01:17:31,690
And we will hear you next week.
:
01:17:31,870 --> 01:17:32,950
Buh-bye.
:
01:17:33,790 --> 01:17:34,360
Yay.
:
01:17:34,570 --> 01:17:34,930
Cheers.
:
01:17:36,520 --> 01:17:37,090
That was awesome.
:
01:17:38,890 --> 01:17:39,370
Is that okay.
:
01:17:42,309 --> 01:17:43,090
I don't know.
:
01:17:43,240 --> 01:17:44,800
I've got done this ever before.