 Okay, because I mean, I guess that that comes up to to the next question and I know we we are going quite deep into time. So, Kyri, if you've got any other questions, we'll we'll wrap this up soon. But this is this is a question that I've been thinking about recently with the whole rise of automation and just say the actual profession. Do you think the actual profession, like the qualification, you know, getting this fellowship level, does that still carry as much weight as it did in the past? Or are actual students better off as soon as they got an actual degree instead of chasing the specialist subjects to rather go and learn automation and learn how to actually control and guide these machines? Like, is that going to give them a better career path? Or is there still a lot of weight in getting this fellowship designation? I'm going to take probably the controversial position and say that it is not as influential as it used to be. It's definitely, I believe, losing a little bit of its power, the actually being a qualified actuary with whichever organization you're with. I do find that practical experience and understanding way beyond what you would learn in in those subjects is extremely valuable. And I was having a conversation with someone the other day where they said, look, I've been kind of trying to decide between doing a specific degree. Now, this wasn't actuarial science. It was more around software development, doing the degree and paying a lot of money in dollar terms for this degree. Or do I want to go and download the syllabus, which I can, and go and study this myself online because all of this material is available online. Which of these two roads do I want to follow? And I think it comes down to what you plan to do with it as well. There are still a lot of insurance companies, most of them, of course, who put stock in the fact that you've got an actuarial degree. But at the same time, maybe you're planning on starting your own business after you've got a certain amount of experience like Chiara might do. And in that case, getting the experience and having a proper understanding rather than the book knowledge is so much more important. So my view is, look, if you've got the time and you've got the drive and you like to complete things and you want to say, tick box, I've actually have my actuarial degree now where I am a qualified actuary, then that's brilliant. Then go for it. But there's a lot more to being an actuary than just having the degree behind your name. So it's a decision that you have to make. Do you want to pursue that expensive degree? Or do you want to go a different path? I mean, I went the fellowship route and I was a little bit surprised how the actual fellowship in finance, people weren't that interested in that. They were more interested in the fact that I got the CERA qualification, which is for one of the special subjects. And the fellowship one hasn't paid off fruit yet. Look, I did study the one to financial institutions help them with the investment strategy. And I do know that I'm a bit young. You know, at 27, it's a bit strange if I go into like a massive pension fund and say, hey, guys, you need to buy more bonds. You know, I think I need to get a little bit more experience before that my advice carries a little bit more weight to it. But I know, just talking to Chiara, her whole decision to look more towards data science rather than completing the whole actuarial qualification is something that is appealing to a few more people as we've been going down that road. So Chiara, I don't know if you want to talk a little bit more about your decision. Are you wanting to qualify as a fellow Actuary or are you happy to get the actuarial backbone as a degree and then pursue data science and other things? Well, looking at the exams, I think that, of course, they do hold a lot of credibility and they do teach you a lot of things that you don't necessarily like learn on a day-to-day basis. Because I know a lot of people who are in careers and who already have jobs find the exams very difficult still. So it's not like you're working with these things on an ongoing basis and you're constantly exposed to them. So I definitely think the exams are amazing in the sense that they teach you to think a completely different way and bring about new solutions. So if possible, I'd like to carry on with my exams. I wrote in April and I'm hoping to write one in September. But I definitely do think there's a way to, I haven't quite figured it out yet, but I do think there's a way to do both. So I think there's a way to have that technical background but apply it with the data science.