  We analyze the statistics of water droplet avalanches in a continuously
driven system. Distributions are obtained for avalanche size, lifetime, and
time between successive avalanches, along with power spectra and return maps.
For low flow rates and different water viscosities, we observe a power-law
scaling in the size and lifetime distributions of water droplet avalanches,
indicating that a state with no characteristic time and length scales was
reached. Higher flow rates resulted in an exponential behavior with
characteristic scales.

Disordered Systems and Neural Networks;Adaptation, Noise, and Self-Organizing Systems;Adaptation and Self-Organizing Systems