It is this underlying assumption of limitlessness that makes it possible to take the reckless risks that we do.

An assumption and only an assumption.

Peek at underlying images

And underlying these questions,

More data? Making the Markov assumption rather than naive Bayes assumption?

That's just an assumption.

It's all assumption driven.

The other possibility is an internally self consistent solution from a redshift survey alone, but that requires you to make an assumption about underlying mass distribution models.

We should understand the underlying premises.

But there was an underlying support.

What about the second assumption?

And there is the underlying wireframe mesh.

That's a big assumption, and we could test whether or not that assumption is valid.

Would it be helpful to make a Markov assumption rather than the naive Bayes assumption?

And this is a huge assumption.

It's a reasonable assumption I think.

That's why this assumption is important.

Again, there's many underlying genetic causes for this.

I thought, What exactly is the underlying logic?

She put on an assumption of ignorance.

What he said bears out my assumption.

And finally there's this assumption of homoskedasticity.

It expresses, but it doesn't solve, an underlying problem.

The basic law, let's say here's an assumption.

I'm not at all comfortable with that assumption.

They're making some assumption about the discount rates.

And this risk free is the big assumption.

The discount rate assumption is everything in finance.

I think six martinis is a reasonable assumption.

We'll do other videos where we talk about when it is a good assumption, when it isn't a good assumption.

This is the math underlying the 80 20 rule. Right?

And how they're distributed really contributes to their underlying function.

And yet the fundamental patterns underlying them are the same.

And they have thereof no knowledge. They follow not except assumption, and indeed, assumption avails not against the truth at all.

Because we'll see later in this video that to some degree, that assumption is one of the biggest drivers of assumption.

We can make the Markov assumption and that's the assumption that the effect of one variable on another will be local.

So we just took your assumption, divided by 12.

It's extremely unlikely given the assumption that everybody's healthy.

How would we detect a violation of that assumption?

There are far more precise ways to describe these underlying properties

Now, these are the most likely settings for the underlying probabilities.

It does not change the underlying reality of, of the situation.

Next assumption and of course the events of July 7,

So that's what statisticians would call an assumption of independence.

So we can't make any attempt of assumption like that.