color{#6A5ACD}{\hat{Y_{i}}}\)` given observed data `\(x_{0i}, x_{1i}, x_{2i}, ....\)`
- Find a model that *works*, by any possible means.
- Give up goal of *correctly* modeling the true DGP.

.hi[**Causal inference:**] Want to estimate one coefficient `\(\color{#e64173}{\hat{\beta_0}}\)`, the effect of a treatment variable `\(x_{0i}\)`.
- Give up goal of understanding causal effects of any other factors `\(x_{1i}, x_{2i}, ....\)`
- Give up goal of explaining the overall level of `\(\color{#6A5ACD}{Y_{i}}\)`