like for the math I was talking about before.

Talking about France, were you over there before Dunkirk?

Like the felled enemies that you were talking about before.

let's ? test ? this exact, before we start talking about psi.

And before I knew it, the courtroom was filled with people angry that we were talking about race, that we were talking about poverty, that we were talking about inequality.

I am not talking about 2011, but about 1964. We have been here before.

You remember those Astroturfing reviews that we were talking about before?

By the way, teacher, let's finish what we were talking about before.

It's unlucky talking about money problems before drama airs, ratings start low.

Not talking about right, talking about staying alive.

Now, we were talking about what to send before, so we send Numberphile.

That's who I'm talking about. I never saw him before in my life.

I ain't talking about you, I'm talking about me.

I'm not talking about rights. I'm talking about lies.

So we were talking before about telepresence, and this is a really cool example.

1986, much, much longer before people started talking about ecological issues and environmental issues,

So, in talking about values we are talking about facts.

We're not talking about my skin. We're talking about yours.

If you're not talking about that, you're not talking about consciousness.

Now, if we're talking about medicine, and we're talking about healing,

Herb's talking about killing me, and I'm talking about killing him.

We're not talking about the past. We're talking about the present.

And when I talk about leading zero's, I'm talking about the zero's that come before your non zero digit.

Talking about Dietrichson.

Talking about what?

...talking about America.

Talking about what?

talking about liars.

You are not talking about affordability, you are talking about extreme affordability.

And you know the kind I'm talking about. I'm talking about pollution.

But he denied it before them all, saying, I don't know what you are talking about.

So, in this video, we'll graduate beyond the domain of just vanilla binary search trees, like we've been talking about before, and we'll start talking about balanced binary search trees.

So we're not talking about Barnum amp Bailey, we're talking about sporting events.

And therefore, you're not talking about incremental innovation, you're talking about disruptive innovation.

We're not talking about numbers. We're not talking about destroyed lives or families.

You know what trouble I's talking about. I's talking about Mr. Ashley Wilkes.

I'm not talking about one tree, Harvey. I'm talking about the whole forest.

And actually, before even talking about it, let's even think about what it means to find the slope of a curve.

Now, what's really important is that, before there was GPHIN, 100 percent of all the world's reports of bad things whether you're talking about famine or you're talking about bird flu or you're talking about Ebola 100 percent of all those reports came from nations.

Now, what's really important is that, before there was GPHlN, 100 percent of all the world's reports of bad things whether you're talking about famine or you're talking about bird flu or you're talking about Ebola 100 percent of all those reports came from nations.

What're you talking about?

I'm talking about it.

I'm talking about you.

What're you talking about?

Stop talking about dogs.