Mike Carruthers

There is.

Because you can't predict the future.

And every time you try, you're very often wrong.

But you talk about how predictions influence the future.

I want to get more into that because when you say predictions can influence the future, maybe an example of what that means.

We're pretty good at determining when somebody's dead.

But then the issue becomes, at what point do you stop trying to save that person?

I mean, there is a point which they may not be dead dead, but there's no way to keep them alive.

Well, it's so interesting to think about this because most people, as you pointed out, most people don't think about this.

This is not something people talk about.

We make the predictions, we follow the predictions, or we ignore the predictions, but we don't think about the process of predictions and the ramifications of that.

Well, I think everybody's had the, well, I've certainly had the experience when I was younger of like applying for a loan or applying for a credit card or something and thinking, well, they want to know, they're going to give me a credit card for the rest of my life, assuming I pay the bill, based on my current situation, which 20 years from now will be nothing like it is.

But they're using today's data.

Like you could be unemployed and apply for a loan and you'll never get it.

But in six months from now, you might have a job and you'll get the loan.

But there isn't much difference between now and six months ago, except that you now have a job.

But that has nothing to do with the future.

The more data you have, the better the prediction.

I think that's an assumption people make.

If you have a lot of information, if you have in your head or on your computer or in a book, that your predictions will be better, right?