I'm biased.

I'm biased.

I'm biased.

I can't say if he was biased

One is it's said to be biased by N, that is it's biased by the sample size.

The verdict is questionable, since he might be perceived as being biased.

She is very biased against abstract painting.

This is totally biased towards the rich.

He's biased against Christianity.

Each element is completely identical, and they're biased.

A more biased set of tracers.

Because average household income is biased by extreme incomes like Bill Gates right.

JOHN EVERARD (British Ambassador to North Korea, 2006 08) It is deeply racially biased.

That's what it means to say that this whole process is biased by n.

Can you imagine how much biased his report would be?

That is one of my favorites. I might be a little biased, since I wrote it.

Meaning that it wasn't biased by cultural background or ethnic background.

Foreign aid is the most aid to poor people, is about the most home biased thing you can find.

We made people more biased in the way that they process information.

Okay, so this initial test, the army alpha, was clearly culturally biased.

Concerning this issue, I feel that the trash media only report biased information.

Namely, the extent to which you have one of these biased time perspectives.

I could have been a doctor if the SAT weren't so culturally biased.

The other problem is, that, in fact, the hardware random number generator you're using might actually produce biased outputs.

That is, the deeper in the past you go, the more biased sample of the higher density peaks you see.

Anybody with at least a two digit IQ knows this was a politically biased choice.

And I rather think of our brains as biased curators of our memory, you know?

They just have the incentives that get them to be blinded to reality and give us advice that is inherently biased.

And so all we want to assume is that it generates a high entropy string, but one that might be biased.

Let me just walk through each of these. So what does it mean to say that NHST is biased by sample size?

And the problem is that they can become biased, because you learn to over use some of them and under use the others.

We tried to understand the root of the problem rather than being biased by what already exists.

He is. He is.

It strikes me that much of the textbooks that are used to educate our children are inherently biased.

Who is he? He is Jim.

He is down. Is he flying?

Where is he? Where is he?

He is. But who is he?

There he is! There he is!

There he is. There he is!

Where is he? Where is he?

Is he okay? Is he okay?

Where is he? Where is he?

So the last project I'll show is called Biased Chains, and it's probably the most exciting example that we have right now of passive self assembly systems.

Poor as he is, he is generous.