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.

All the cars were back again, and you even have to admire the car drivers.

That's all it tells us.

This is the range right here.

Adaptation.

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!

But look at this closely.

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

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We just did the following we inspected a data sample with two dimensions, and we saw it had massive outliers.

So you know suppose this is your initial value of theta one over here and it's already at a local optimum or the local minimum.

And this is actually the range.

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

It's equals t 1 over lambda.

The boy is tough.

It'll take time to adapt.

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

Apply percentage value

So, new things.

Or why do they not make sense?

We live in a modern, global world.

Nye The target shown here.

What is this wonderful gift God gave women, I wondered?

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

And most of them, with the exception of SCRlPT and Cha0, they did not demonstrate any real social skills in the outside world only on the Web.

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

Or large scale fluctuations lifting the small ones even further.

No. 2 Collaboration across networks and leading by influence.

(Sound clip Scarlet tanager song)

You see, it wasn't working very well.

For example, terrorism.

Nature votes thumbs up for adaptations that will do well in their environment, and thumbs down to adaptations that will do poorly.

If it fails to find a better solution, it goes back to the original and decreases our probing interval.

That's something we can observe.

Can you adapt yourself to the new job?

There's nothing more vulnerable than that.

But you'll see that it's kind of just the reverse chain rule.