Stata

and they've pre-populated a connectivity to different data sets in there.

So qualified researchers that have been vetted can go to safe pods, safe locations where all that they can access, and they can't take phones in or photographs of the screen or anything, is connected to that database which is a virtual environment that's been spun up for them with the right tools to do the analysis, like R or Stata or Python.

And then the data that they want is placed into that environment in this secure room, almost a bit like where we are now.

But you can't have internet access either.

If it's

wrong, it's Stata.

By the way, I got that from Stata.

Yeah, I was, I just thought, the man's a legend, isn't he? He's an absolute Aston Villa legend.

And so many kids growing up who've seen him during their Villa career will love him in a way, you know, we loved Paul McGrath or Andy Townsend, you know.

The whole thing is gonna have two hundred and fifty million rows, so it's a big dataset.

This is not gonna fit inside of memory, right? So if you use Stata or something like this, you could-- It's quite costly to load this all into, into Stata or to Python or any of these ones.

So you wouldn't wanna directly load this into memory.

And so what I'm gonna ask it to do is I want it to write a script that is gonna pull this data down.

A label-

Yeah.

So if you've ever used in Stata, sometimes people talk about, like, value labels and other things.

There's-

I was like, wow, I'm not cut out for this at all.

I was still very interested in infectious disease, but I was like, oh my gosh, like Stata and R and all of this, this is a no.

It was an immediate no.

So for those that are listening, I actually failed my stats class the first time.

I think once you have the opportunity to apply it and apply it to something you actually genuinely care about, I think that's the important piece, right? You then get excited because you're like, "Oh, I do my coding and I run my analyses.

I look at the results and I'm finally getting something I care about answered through data." I think once you've had that experience a couple times, it takes a couple times because trust me, I remember I used SAS for my PhD dissertation because it's really good with handling large data, and I almost had a few moments where I was like, "Okay, maybe I don't like statistics." [laughs] But then once I changed over to Stata, which is my preference, and that's the other thing, right? You don't have to stick to one statistical analysis software, right? And I think that's the thing, is that there's so many options now, and I just can only imagine with AI the possibilities.

But there's so many options that even if you're not necessarily, you don't enjoy a certain statistical analysis software, you can say, "Okay, let me try SPSS.

Let me try Stata." So I think you're right or not I think.

You're definitely right in terms of I think once you've had the time to, the opportunity to apply it to something you actually care about and you're in a work setting.

I will say even for me, when I had my first research scientist job, I learned a lot more, right? I had already learned how to, like I had learned to apply my data analysis courses and I was on some research projects.