Plausible deniability.

An assumption and only an assumption.

And that's a very plausible idea.

Too smooth and plausible by half!

Your story doesn't sound very plausible.

And this makes Fulcanelli's theow more plausible...

That, in your mind, is plausible deniability?

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

That's just an assumption.

It's all assumption driven.

Seems the logical assumption.

In some problems that isn't a plausible model.

This made the thing a bit more plausible.

This story, to me it's not too plausible.

Sounds a lot less plausible coming from a drunk.

What about the second assumption?

Your explanation sounds plausible, but it just doesn't hold water.

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.

That's one hell of an assumption.

But that assumption was a problem.

The assumption is something like this.

Perhaps it was just an assumption.

She put on an assumption of ignorance.

What he said bears out my assumption.

And finally there's this assumption of homoskedasticity.

And every single part of this mechanism is actually plausible in biology.

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.

That's a hell of an assumption to make...

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

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?

A more plausible proposal is the one Leech presented in conjunction with Emmet's theory.