Data Literacy Dilemma

Sometimes it's not people's fault. Like, there are books written about, like, how to lie with statistics. So this is a hard really, like, hard problem. And so to your point that if someone makes a mistake in engineering, the website goes down, you kinda know about it very quickly. But if you make a bad decision, like a business decision, you might, like, open a new market or, like, open a new product line based on this, and the feedback loop is gonna be really, really slow. And so I think this is, like, our role, you know, as Ollie said, like, the trusted adviser. It's like how where and how can we create a contained space where people don't need high data literacy? It can just be, like, a count of things, like an understanding of what's going on. But some of the more complex questions that people are gonna throw at this stuff, it's gonna be presented with great confidence. And we all love having, like, you know, confidence intervals and that sort of thing, and then you always get told up. Get rid of those. Like, just give me the number. And I think that is our job is, like, how we manage that level of uncertainty that LLMs and that sort of thing just remove.