SPEAKER_04

No.

But that one's not?

No, it's okay.

We have sugar-free ones.

No, because the sugar-free ones have stuff in them that are just as bad as xylitol and all the others.

I don't think so.

I haven't seen anything on that.

But, you know, I mean, look, like I said, I'm 64.

It's way too late.

And every time that, let's say, scientists make some grand prediction of what's good or bad, five years later we find and update what it should have been.

I mean, I often say this, and this is true.

The goal of science or scientists is to be –

right today, even wrong today, but righter tomorrow because we're always back checking what the results are and what they mean in the context of a bigger picture.

Yeah, I mean, as always, as I often say, you know, in the context of something I know we'll get to later, it's the data off the curve, which is more important than what we already predict.

You know, predictions are great, but when there's a data point off the curve, at least in my lab, that's where we spend the most time at our lab meetings, is trying to figure out why that data point's off the curve.

Is it because the machine was wrong?

It was a glitch?

Or does it mean something that we need to make sense of?

And that's, of course, where all advances come from in the sciences is by the fact that the data off the curve, somebody was curious enough about what it meant to go after it and then say, ah, okay, now that I've stepped back and see the bigger picture, now I can create a model that incorporates that data point off the curve and why it happened.

And then the amount of data that had to be collected now.