You don't need to list the consequences, Ethan.

And so we have to figure out how they balance those two things.

It makes it adversarial it's polarizing.

First, we reached line 9, then we step we reached line 11, then we step we reached line 13, and then we quit and this is precisely the output we would have expected.

A good result is in prospect.

We expect good results.

Good results are expected.

It is difficult to calculate the results of the election.

Of course, in practice, I don't know the velocity, but let me assume for a moment the velocity is 0.

I was so happy.

First, we'll use the less than to compare 2 and 3.

I'll use'X' and'Y' as I've been for the predictor and outcome respectively.

And I think the CEO basically did not understand the importance of meaning.

So, observe variables, and some people will call these manifest variables are represented by rectangles.

And let's say when their tape measures weren't so good,

So this happens in physics all the time.

So first, let's talk about just what regression is.

And the reason that we need to use science is because then we can reproduce what we're doing it's not just wisdom or guesswork.

We click on run, and we get 1.0.

Here, I'm mostly just assuming still observational studies.

The motions are 1., 1., 2., 1., 1.

But watch out they continue the line beyond the last point out into nothing.

So, there is a lot of water below the surface.

I mean,there was never Gonna be a happily ever afte

I would argue you're safe.

Before, when we just did simple regression, that was our equation.

An unexpected result came about.

And this is the unintended result.

However many people we have on our study, or however many cases, that's how many predicted scores we have.

Let me fix that.

imperfections in the skin ? ...just microscopic, never repeat and vastly affect the outcome. That's what?

Again, we wanna minimize the residuals.

We can't predict any particular project, but the result of this whole worldwide, chaotic, unpredictable activity of competition and the evolutionary process of technology is very predictable.

So we could have multiple X's.

So, how do we untangle that positive correlation in trying to predict the outcome measure?

We then post multiply that by the cross products.

So keep it simple. There's just four variables.

Let's go see.

In our context, of course, we're using a theory in order to explain what the cause of a failure is and in our context we're not looking for vague guesses, we're looking for something that explains all earlier observations and predicts the future one.

And now my mission to control and predict had turned up the answer that the way to live is with vulnerability and to stop controlling and predicting.

So let's see how that works.

Now that you worked the math, you know exactly how to implement this.

An amount with which the precision of a measurement can be estimated.

Different people trade off between standing by their outcome, faithfully holding to it, going down in a blaze of glory, or giving it up, putting their finger in the wind, and doing whatever they think is going to be a winning position.

For example, a number of respected economists did not expect the financial collapse of 2008.