It's something we say very commonly to feel better about the direction we think it's going, but often not based on anything. I've sat in strategic sales meetings and forecast meetings for next quarter, next year, budget meetings. And more often than not, unfortunately, we try and A, show a good picture. So we're saying, well, our sales has been increasing. So next year, we'll probably do 3% more. So we take last year's number and we add 3%. And that's what we think we should be able to do. I think that's one of the things that really got me started down this road was, you know, we actually live in a really predictable industry. You know, selling TVs at Best Buy is actually less predictable. It has lots of numbers behind it and they certainly use them, but it can't be granular. And so my first presentation at AED was called a granular data-driven approach to strategic sales. And the idea was, you know, if we know... what's in the market, how many machines are in the market, who owns them, what brands and usage is on them. We know when people are going to buy or want to buy new machines or replace those machines. If we know we have this many machines in the market, we know what kind of parts and labor they should consume. We shouldn't be guessing anymore at what our sales could be. Maybe we're guessing still what they will be, but we should be able to know that. there are X number of machines available next quarter for replacement. And we should be building a strategy to replace those machines. And so that kind of got me off on this. It was probably a tangent, but in the industry, but to really talk to people about, are you maximizing that information that you're collecting to be able to make sure that that sales rep knows he needs to go see this customer that he sold a machine to? three years ago, but they only have two machines. And so we don't see them very often, but if we're not there at the right time, our competitor will have dropped by at the right time and probably flip them over. And so that I think is a really good example of our industry should be predictable. If we look at and apply information to the business, that's tough for, for people that are relationship and reactionary.