Benjamin Felix

And then as you do in your paper, you kind of play with the model and test stuff out

The reality is that it is just a really, really complex topic, especially when you start getting into people's individual preferences and what they want, what that specific person wants to optimize for.

And you've taken that complexity and you've quantified it, which I think is the really interesting thing about what you've done here.

So you've got like the structure, which is like the whatever account types and entities that exist and assets and all that kind of stuff.

And then you overlay on top of that, there's like an individual component that and that even if the structure is identical, you can have two very different people.

To your point, even something is, I don't want to call it subjective as one person's life experiences over the others that can materially change the optimal financial advice in that case.

I like that.

Gravity is subjective in financial planning.

Yeah, I like that.

We kind of talked about in general what theory is trying to do.

I want to get a little bit more into the details of how you set it up.

Can you talk about how multi-objective optimization is related to financial planning?

Ralph Kini, we actually had Ralph on this podcast a while ago.

Yeah, that was episode 238, Ralph Keeney.

That was a cool one.

Very cool.

This theory kind of explains why integrated financial planning is valuable, which is interesting.

You're able to sort of quantify why that advice is valuable.

I have a question.

Empirically,