# Sensitivy Maximization RAPPOR (Local Differential Privacy)

Hi I have a doubt at the end of the proof of the RAPPOR Algorithm, when they say the sensitivity is maximized when $$b'_{h+1}=b'_{h+2}=...=b'_{2h}=1$$ and $$b'_{1}=b'_{2}=...=b'_{h}=0$$. I don't understand if the maximized is define as the ratio of probabilities or comes from the definitions of sensitivity in differential privacy.

I will appreciate any help. Thanks.