 All right, I'd like to show you one more scenario in the simple mode, scenario 1c, which is about scaling. I'll build a little bit quicker on that one. In the introduction, you may have learned about scaling, which is a technique that tech companies and API users can use in order to achieve better signal-to-nose ratios. Here in NoseLab, we kind of assume that as an API user, you're going to be using scaling. And we apply a basic scaling system for you out of the box in NoseLab. So you can see here that by default, scaling is on in NoseLab. So let me run first default simulation. Oh, my batching frequency was kind of high. Let me clear that. I'm just going to run it again, all right? So these are my noise ratios with scaling on. Assuming that I decide to turn off scaling, which is not recommended, but I could decide to turn off scaling and this would give me much higher signal-to-nose ratios. I think the interesting piece in that quick demo is really to encourage API users to go ahead and use scaling if possible, because this goes to show that scaling can be very helpful in order to reduce your, to improve your signal-to-nose ratios. This is without scaling. And up there, this is with scaling. So this is a technique worth exploring.