And you know what?

We refer in big history to these moments as threshold moments.

This minus 1, 2, 5, and 4.

let's look at the lecture based classroom, and let's pick the median performance as a threshold.

And I'm just showing this to you again because it's so nice.

From set A to set B.

A universe appears, an entire universe.

That's all it tells us.

This is the range right here.

That might maybe look like this, and if you now threshold this hypothesis at 0.5, you end up with a threshold that's around here so that everything to the right of this point you predict as positive, and everything to the left of that point you predict as negative.

Too hot, too hot.

The distribution changes to alive!

line is going to be the change in y divided by the change in x.

We found a couple of really interesting things.

So, the fourth sort of post crisis consumerism that we see is this movement about return to the fold.

But look at this closely.

You can see that actually they've crossed a different threshold.

We can do the same thing with the wait's sub i values.

But here's the key thing you know, the other thing we found out is that the ice sheet passed a threshold, that the planet warmed up enough and the number's about one degree to one and a half degrees Centigrade the planet warmed up enough that it became ... that ice sheet became very dynamic and was very easily melted.

That isn't perfect.

And this is actually the range.

And I believe we count as a threshold in this great story.

Totally. JavaScript does have variables.

The prices of certain foods vary from week to week.

But look at this closely and you can see that actually they've crossed a different threshold.

If the changes in x we're going by different values, if this went from 1 to 2 and then 2 to 4 what you'd want to do, then, is divide the change in y by the change in x, and that should always be a constant.

They ask us, is this function linear or non linear?

We can actually show that plotting out.

Changes

And we must change with it.

What did you mean?

In every case, when the number of visits to the state is less than the sum threshold, E, the exploration threshold.

So what is the distribution of all data points and just those that are higher than 1 sigma above the mean?

Say that x is going to be equal to 1.

Or large scale fluctuations lifting the small ones even further.

If something is linear, then the change in y over the change in x always constant.

Synchron Directory Changes

Change Value

Or another way of writing it, it's change in y over change in x.

Now that's a big claim. I'm going to try to back it up.

In this optimization, more commonly known as Common Expression Elimination, let's say we're given this snippet of code.

It might be a very slight change, but change is change.

But either way, we now know the slope.

Changes the panel directory to the parent directory.

Changes the panel directory to the home directory.