So, yeah, like, she was like, What? What did you miss Jana said that one of the good things about the Oh, God, is that the ECG? Or the it's the eg? Yeah, it's the eg, okay. Was that like, can't be disputed, right. And I thought that was like, interesting, because you can say, first of all, like, I wanted to make a joke about how every single psychologist out there is like, super, super objective, like behaviour tests. Yeah. Cuz it's all questionnaires, like sometimes they're like, you know, do this puzzle or like, do this task. But yeah, like an E, G, or whatever isn't like, it's not perfect. Yeah. And there's still like interpretation and stuff. And it's not. Yeah, I do agree with you that there's still like a degree of So, you know, subjectivity to it. subjective analysis, I guess. But, like, I feel like it's always better to go do more with the more objective tools, right. Like, I think with any tool, there's always a subjective element, even if we forget that a lot of times. This is a lot of the case with like, tech and like big data now. It's like people forget that there's, like, underlying assumptions that these like models and systems are built on. Yeah, so I think it is important to always keep in mind that Yeah, there is like assumptions that things are built on, there's always room for error, and you should be aware of that. But moving from subjective, to more objective is always like the better play. Well, okay, maybe I shouldn't say always, because always, it's just like, you're just asking for trouble. But yeah, a lot of this also has to do with like, maybe historical events in healthcare, where, you know, like personal biases, can definitely play into healthcare decisions and other obviously, other decisions in our societies. I mean, you say that it's usually better to go from like, to go towards the more objective technology, which I agree, but that's in like, this hypothetical scenario, where you have technologies A and B, and they're equally similar in every single way, except for that one is more objective than the other. And as a caveat, like I'm totally like, for Yeah, like using whatever it is, we're like using new tech, and like all that stuff, I think it's great. But just to be devil's advocate, like we do have to consider what is what are the things that these behavioural tests, like memory, or like building blocks, doing surveys, like, what are the kinds of information that those tests give us that we can't get from this new kind of test, even though it is more objective? Like you want to be sure that you're actually testing the thing you want to test, which is, like a bigger deal and like psychology and like that, those kinds of disciplines when it is harder to quantify things. Yep. So I think an interesting consideration. Yeah. 100% that's the same thing with any data collection as well, like, yeah, is it actually what you want to be measuring? Exactly. And especially with psychology, like we know, so little about the brain, like, Sure, you can be like, your frontal lobe is lighting up. And so therefore, it means that you're having, I'm totally making this up, guys. Like you're having like, increased reasoning or whatever. But it's like, that might be wrong. Like that assumption might be wrong. So yeah, so yeah, I mean, like, I just think it's like interesting to consider, like, don't always abandon all the old stuff. Yeah. I don't know if I told you about that. Because reading weapons of mass destruction. We do you say math, weapons of mass destruction. It sounds so funny, because it just sounds like you're saying math with a list? Yeah, well, it really gets into that. And it like gives some amazing examples of like, what it looks like when you measure the wrong things. And they're like real life examples, which is just like terrifying. But yeah. Yeah, I'm like, I'm always so interested in. I just like love imagining scenarios where like, you think that, you know, like, a is causing B and C, but really, a is causing B is causing c like I'm just endlessly amused by imagining those connections in my brain. Yeah. And I think like most people that I talk to about it, they're like, say What now? Yeah, I think like both of us have like a unique love of those. Like, it's weird. It's like, almost like I just like love the logical Yeah, no, but it's actually really scary like than I was when it plays out in real life. Yeah, okay. I still have a few more things to say about the automated stuff. Oh, yeah. Yeah, so one things that she mentioned was that she, you know, people in our industry for a while then be like, Oh, yeah, like when tech gets big and stuff like that, in this industry, like physiotherapists are going to be some of the jobs to go, but actually like her role is just been further enhanced by like having more tech So this kind of, okay, you brought up that like, one thing to think about when making your career decisions is about like, how automatable enrol is, but I'm gonna are you and like, I feel like this is my counter argument to that is I don't think that's something that you can actually accurately predict.