So those are great.

This is data, statistics. What does it tell us about these conflicts?

Do you consider that these objectives are sufficient ?

These are the working poor.

These animals are better than those ones.

These books are better than those ones.

These banks are better than those.

These pens are better than those.

Those are the effects that we're going to see.

So these are the components.

This is actually digits that we're engineering.

So here's some of the characters that we have.

This many seconds are left

So here are some of the results that I received. I think they're quite nice.

Interestingly, there are data on these two groups of people, data on how happy they are.

Are these yours?

These are birds.

These are animals.

These are gifts.

Those are gifts.

These are mine.

These are new.

These are real.

These are yours.

These guys are facts.

And here they are.

These are haikus.

These are the dead in Jonestown.

Here are a few examples of using quantifiers

These are just some of the households that we've done in the Intel studies.

This is all their movies. We've got about 60 movies that these kids have made, and they're quite incredible.

But are these newfound wealth effects really all that they are made out to be?

Are these your cars? Yes, they are.

Are these cars yours? Yes, they are mine.

Are these cars yours? Yes, they are mine.

These cars are yours? Yes, they're mine.

Are these cars yours? Yes they are.

These are disturbing facts.

These are convincing arguments.

These arguments are wrong.

Those children are cheerful.

These are my pencils.

These are our desks.

These containers are airtight.

These books are new.