 Really? Measurement bias, non-random measurement error, the form of inaccurate measurement in which the data consistently overestimate or underestimate the true value of an event. And I have to say condom in the last video. Are we recording? Yeah. Oh, great condoms. Here we go. Once again, folks, we're going to talk about condoms. This time, we're going to talk about condoms and measurement bias. Hm. As your mind is wandering, as your thoughts are just kind of going all over the place, hopefully, I'll direct you into a way that's less naughty. So measurement bias is to define it in a really probably piss-bore way is to talk about a consistent error in how you're measuring something. It can be overestimating. It can be underestimating, but it's consistent, right? It's non-random, which is what makes it a bias. Sometimes randomness is not necessarily bias. But anyway, so think back to the whole condom thing. Now that I've got you on that, think about that stuff. So if you're trying to measure how many condoms you used in a given evening, you could have some measurement bias by just counting the number of condoms that were in the garbage, right? Why? Because somebody like me, man, I'm going to tear up a whole bunch of extra condoms just to make you think I had a really good night. So if I know people are watching me, like they're counting my condoms. So I'll just put them all in the garbage and be like, there you go, count those. I used all 40. Yes. I am not a pick. Can I get another box, please? The condom, man, yes. Wow. That laytex all over the place. That's just wrong. Just, just, man, prophylactics everywhere. I swear to God, it's just going to go wrong. Measurement bias. Don't do it. Bye.