I'm biased.

I'm biased.

I'm biased.

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

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.

I can't say if he was biased

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

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.

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

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.

And those peaks were clustered more strongly, in other words, at different redshifts, you're looking at a different sample of objects and this is again why this is called biased galaxy clustering.

literature, we will see a biased sample of the true picture of all of the scientific studies that have been conducted.

And that kind of correlational, analysis is what was done after inaudible introduced the test to really drive home the point that it, it truly was culturally biased.

The problem I'd like to tell you about is motivated by an actual study the University of California Berkeley, which many years back wanted to know whether it's admissions procedure is gender biased.

And, the initial answer was, well, if one group did worse on the test overall than another group, then it's biased. Okay.

Because if we can, maybe we have a chance of actually discovering life somewhere else without being biased by things like amino acids.

So if you try to fit a model curve only to those that you do see, you're going to get a biased result.

So the knowledge that we had about our ancestors, on how they looked like, how they behaved, was kind of biased toward adults.

Now does this mean from a single coin flip, the maximum likelihood estimator will always assume a loaded or biased, yes or no?

You know, I can't promise my child a life without bias we're all biased but I promise to bias my child with multiple perspectives.

I feel like I have biased a lot of my viewers, towards using shoot through umbrellas, to use them all the time, for everything.