it wasn’t until I was later in in high school that I had my first biology tutor
school that I had my first biology tutor
school that I had my first biology tutor who sort of gave me the confidence that
who sort of gave me the confidence that
who sort of gave me the confidence that I could be a scientist I was a tutor
I could be a scientist I was a tutor
I could be a scientist I was a tutor because you’re acting correct right so I
because you’re acting correct right so I
because you’re acting correct right so I was on I was on the show blossom from
was on I was on the show blossom from
was on I was on the show blossom from the oh you were awesome
the oh you were awesome
the oh you were awesome I was lost on the show block work block
I was lost on the show block work block
I was lost on the show block work block yeah that clear
yeah that clear
yeah that clear correct once I met this this woman who
correct once I met this this woman who
correct once I met this this woman who was my biology tutor that was sort of my
was my biology tutor that was sort of my
was my biology tutor that was sort of my my real kind of coming out party of
my real kind of coming out party of
my real kind of coming out party of believing that I could be a scientist I
believing that I could be a scientist I
believing that I could be a scientist I didn’t even have the skill set because I
didn’t even have the skill set because I
didn’t even have the skill set because I had I had been paying attention all the
had I had been paying attention all the
had I had been paying attention all the previous years in math and science but
previous years in math and science but
previous years in math and science but really just doing what I needed to to
really just doing what I needed to to
really just doing what I needed to to get by I didn’t really understand the
get by I didn’t really understand the
get by I didn’t really understand the beauty of science and math and that
beauty of science and math and that
beauty of science and math and that whole world until I was later into high
whole world until I was later into high
whole world until I was later into high school then obviously pursuing it in
school then obviously pursuing it in
school then obviously pursuing it in college was you know it was it was a
college was you know it was it was a
college was you know it was it was a party so this saddens me you know why
party so this saddens me you know why
party so this saddens me you know why not not your story the perfect I’ve
not not your story the perfect I’ve
not not your story the perfect I’ve heard that before
heard that before
heard that before know that if the that single person
know that if the that single person
know that if the that single person right made a life difference to you
right made a life difference to you
right made a life difference to you right how many people are missing that
right how many people are missing that
right how many people are missing that single person who cannot like just I
single person who cannot like just I
single person who cannot like just I mean I can I I’m sure we could all run
mean I can I I’m sure we could all run
mean I can I I’m sure we could all run the stats on it many girls right it is
the stats on it many girls right it is
the stats on it many girls right it is the first answer good that’s the first
the first answer good that’s the first
the first answer good that’s the first name and that’s because I mean that’s
name and that’s because I mean that’s
name and that’s because I mean that’s because of a historical difference in
because of a historical difference in
because of a historical difference in the representation of women in these
the representation of women in these
the representation of women in these fields and and uh probably a cultural
fields and and uh probably a cultural
fields and and uh probably a cultural bias on the part of teachers and and
bias on the part of teachers and and
bias on the part of teachers and and instructors and and even administration
instructors and and even administration
instructors and and even administration how much intellectual capital lay
how much intellectual capital lay
how much intellectual capital lay untapped uh in this world do you want a
untapped uh in this world do you want a
untapped uh in this world do you want a number document guns and work
number document guns and work
number document guns and work I want numbers first give me numbers
I want numbers first give me numbers
I want numbers first give me numbers don’t just say it I don’t have them I
don’t just say it I don’t have them I
don’t just say it I don’t have them I think it’s a weight this is Startalk
think it’s a weight this is Startalk
think it’s a weight this is Startalk they don’t leave you numberless when if
they don’t leave you numberless when if
they don’t leave you numberless when if we can put numbers in this situation you
we can put numbers in this situation you
we can put numbers in this situation you have the number I have the power I
have the number I have the power I
have the number I have the power I shouldn’t have doubted you nor a second
shouldn’t have doubted you nor a second
shouldn’t have doubted you nor a second know I’ll have the power to give you the
know I’ll have the power to give you the
know I’ll have the power to give you the numbers I have the power to get someone
numbers I have the power to get someone
numbers I have the power to get someone to give you them oh that’s how I work I
to give you them oh that’s how I work I
to give you them oh that’s how I work I grab Howard to listen to those numbers
grab Howard to listen to those numbers
grab Howard to listen to those numbers so Mona can I get some numbers please
so Mona can I get some numbers please
so Mona can I get some numbers please all right
everyone is monitor Lobby she’s a data
everyone is monitor Lobby she’s a data journalist did you even know that thing
journalist did you even know that thing
journalist did you even know that thing existed Mona you got some numbers for us
existed Mona you got some numbers for us
existed Mona you got some numbers for us to bring some of this into focus I do I
to bring some of this into focus I do I
to bring some of this into focus I do I wanted to try and answer my aims
wanted to try and answer my aims
wanted to try and answer my aims question as directly as possible so I
question as directly as possible so I
question as directly as possible so I wanted to find out how many female
wanted to find out how many female
wanted to find out how many female scientists America is missing
scientists America is missing
scientists America is missing and the number that I came to is 80,000
and the number that I came to is 80,000
and the number that I came to is 80,000 missing meaning they might have been
missing meaning they might have been
missing meaning they might have been scientists but some force prevented that
scientists but some force prevented that
scientists but some force prevented that from happening exactly okay exactly okay
from happening exactly okay exactly okay
from happening exactly okay exactly okay and I just took biologists chemists and
and I just took biologists chemists and
and I just took biologists chemists and a category called other natural
a category called other natural
a category called other natural scientists and I worked out how many
scientists and I worked out how many
scientists and I worked out how many women you would need to just get to a
women you would need to just get to a
women you would need to just get to a 50/50 gender split and that’s when I got
50/50 gender split and that’s when I got
50/50 gender split and that’s when I got eighty thousand so what do you say
eighty thousand so what do you say
eighty thousand so what do you say eighty thousand it’s just eighty
eighty thousand it’s just eighty
eighty thousand it’s just eighty thousand in those professions exactly
thousand in those professions exactly
thousand in those professions exactly you’re leaving out engineering and
you’re leaving out engineering and
you’re leaving out engineering and physics and mathematics mathematics and
physics and mathematics mathematics and
physics and mathematics mathematics and all the rest of this yeah okay but
all the rest of this yeah okay but
all the rest of this yeah okay but presumably equal access equal
presumably equal access equal
presumably equal access equal opportunity doesn’t require equal
opportunity doesn’t require equal
opportunity doesn’t require equal outcome so that that missing number
outcome so that that missing number
outcome so that that missing number presumes that if everything were even
presumes that if everything were even
presumes that if everything were even then everything would be even right but
then everything would be even right but
then everything would be even right but we know that we don’t have equal access
we know that we don’t have equal access
we know that we don’t have equal access right my am touched on it in the clip
right my am touched on it in the clip
right my am touched on it in the clip and it’s really really relevant so I
and it’s really really relevant so I
and it’s really really relevant so I also looked at some of the cultural
also looked at some of the cultural
also looked at some of the cultural barriers that stop women from going into
barriers that stop women from going into
barriers that stop women from going into the sciences now we know that
the sciences now we know that
the sciences now we know that statistically women are less likely to
statistically women are less likely to
statistically women are less likely to be hired by science faculty they’re less
be hired by science faculty they’re less
be hired by science faculty they’re less likely to be asked to perform
likely to be asked to perform
likely to be asked to perform mathematical tasks and they’re less
mathematical tasks and they’re less
mathematical tasks and they’re less likely to have their academic papers
likely to have their academic papers
likely to have their academic papers deemed of high quality and I know that
deemed of high quality and I know that
deemed of high quality and I know that last bit because of research by a female
last bit because of research by a female
last bit because of research by a female scientists called Emma Pearson now what
scientists called Emma Pearson now what
scientists called Emma Pearson now what Emma did was she looked at nine hundred
Emma did was she looked at nine hundred
Emma did was she looked at nine hundred and thirty eight thousand three hundred
and thirty eight thousand three hundred
and thirty eight thousand three hundred and one academic scientific papers and
and one academic scientific papers and
and one academic scientific papers and she found that the average male
she found that the average male
she found that the average male scientist publishes forty five percent
scientist publishes forty five percent
scientist publishes forty five percent more papers than the average female
more papers than the average female
more papers than the average female scientist so you’re saying we’re messed
scientist so you’re saying we’re messed
scientist so you’re saying we’re messed up that’s what you’re saying that’s how
up that’s what you’re saying that’s how
up that’s what you’re saying that’s how to be messed up numeric in numbers
to be messed up numeric in numbers
to be messed up numeric in numbers numbers are showing how messed up you
numbers are showing how messed up you
numbers are showing how messed up you are that’s right
”
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