Parameter uncertainty in control systems is a multiplicative noise and serves as a 'scrambling' bottleneck for information flow in systems that may obscure our ability to observe or control the system. Knowledge about the system parameters can 'widen the pipe', and this increased flow of information can allow control goals to be achieved. We first present an example where the scrambling due to the parameter uncertainty does not allow for system estimation. Surprisingly, the ability to modify the state through a control action allows us to extract information by shaping the input distribution and thus control the system. Finally, through other examples, we explore the notion of the value of information in control as a parallel to the value of information in portfolio theory à la Cover.