This lecture covers examples related to hitting times in Markov chains, starting with a simple state space of four points and then moving on to more complex scenarios involving infinite state spaces and snakes and ladders. The instructor demonstrates how to calculate the probabilities of hitting specific states and the expected number of steps before reaching a certain state.