# Intro to WolframAlpha with Stephen Wolfram (Part Two)

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Wolfram|Alpha is steadily
building up
pretty detailed knowledge
on a lot of kinds of topics.
For example, let’s ask it,
what’s the fish production
in France?
Now it’ll give me the result
and if I scroll down
it says that
that’s an average of about
56.78 pounds per second
which is about 1/5th the rate
of trash production
in New York City.
Well let’s try
asking Wolfram|Alpha
to compare the rate
of fish production
in France versus Poland.
So now Wolfram|Alpha
is giving us a comparison
and then plotting the two
time series together and so on.
How about something different,
let’s ask about food.
Let’s ask Wolfram|Alpha,
what’s in two cups
of orange juice?
So now Wolfram|Alpha will
synthesize a nutrition label,
then it’ll tell us all sorts
of information
about the high nutrients
in orange juice
and how orange juice compares
with other foods and so on.
Let’s change it a bit,
let’s say two cups
of orange juice
plus one slice
of cheddar cheese.
Now Wolfram|Alpha can do
the computation
to figure out
what the nutrition label
for the content
of that as a whole is.
Let’s try a few other things.
This is a crossword puzzle
kind of thing.
What words match that
particular pattern of letters?
Or let’s say we ask
about Mount Everest,
Wolfram|Alpha can tell us
lots of things
like what the typical
atmospheric pressure is
at the top of Mount Everest
or what nearby cities are
and so on.
Let’s a little bit more detail,
let’s say what’s the height
of Mouth Everest,
let’s say divided by the length
of the Golden Gate Bridge?
This is now comparing
two quite different things,
but Wolfram|Alpha is able
to compute the result
and there, show us the details
of how it got that result.
How about another kind of thing,
let’s ask Wolfram|Alpha
to tell us
the third largest country
in Europe?
Now it’ll give us
several results,
by area, by population,
by GDP and so on.
Or how about this, let’s ask GDP
versus railway length in Europe?
So now Wolfram|Alpha
will make a scatter plot
of the correlation between GDP
and railway length
for all the countries in Europe.
Or something like this,
let’s ask, who is the president
of Brazil in 1922?
So it can compute that.
Well here’s some fun, how about
we type in a name, like Andrew.
So this tells us the popularity
of Andrew
for baby names
as a function of time,
and down here we see
that Wolfram|Alpha
can estimate from that,
how many Andrews
there are likely to be alive
in the U.S. at this time
and it can show what
their distribution of ages is.
How about we compare that
with Paul, for example?
And here’s the result,
pretty different profile
in this particular case
of these two names.
Well there’s a lot we can do,
so here’s another piece
of math, for example.
Asking about,
what’s the chance to get
2 heads out of 10 coin flips?
Let’s give Wolfram|Alpha
a sequence,
it can then go and figure out
how that sequence could continue
and what its
mathematical formula could be.
Well there’s all kinds
of things that we can do,
I mean, here’s a typical
Wolfram|Alpha kind of thing.
I’ll ask about
the International Space Station
and Wolfram|Alpha will get
the updated orbital elements
from a database, then solve
the differential equations
to work out where the ISS
is right now, and the answer is,
that it’s over
the South Pacific,
traveling at about 17000 mph
and so on.
And there’s lots
of other details about the orbit
that we can work out,
if we want to.
So what’s in Wolfram|Alpha?
Well if you go to
the Examples tab up here,
you can see some
of the general subject areas
that Wolfram|Alpha covers.
It’s already a very big system
but right now we’re really
just at the beginning,
I mean, Wolfram|Alpha
is really a long-term project.
We’re trying to take
as much of the worlds knowledge
as possible
and make it computable.
Taking all the data and methods
and models and algorithms
that have been accumulated
in our civilization
and make them
immediately computable
so that anyone, anywhere
can just go to the web
and use all that knowledge
to compute answers
to their specific questions.
I wasn’t sure Wolfram|Alpha
was going to be possible at all,
but we’re proud
of where it’s got so far
and we’re looking forward
to everything that can be done
with it now.
I hope you’ll find good ways
to incorporate Wolfram|Alpha,
as it is today
and as it grows in the future,
into all sorts of things you do
and perhaps
that you’ll become part
of the Wolfram|Alpha community,
helping to use our technology
to make the worlds knowledge
computable for everyone.
Thank you.