What if every time series you see — stock prices, temperatures, GPS tracks — is just a blurry echo of a hidden, changing truth? In this chapter we learn a way to model that: we treat the things we care about as invisible states, and the numbers we actually see as noisy snapshots. This one framework covers everything from simple trends to complicated ARMA models, and it gets us ready for the Kalman filter in the next chapter.