The article discusses the prevalence of skewed distributions in various aspects of brain function and structure, challenging the common assumption that brain parameters follow a Gaussian distribution. Skewed distributions, often lognormal, are observed in synaptic weights, firing rates, population synchrony, and axon diameters. These distributions suggest that a small minority of neurons or synapses plays a disproportionately large role in brain activity and communication. The authors explore how these skewed distributions might be related across different levels of brain organization, from synapses to cognition, and how they contribute to the brain's dynamic and efficient information processing. They also highlight the implications of these distributions for data collection and analysis, and the potential for skewed distributions to explain phenomena such as the "replay" of neuronal sequences during sleep and the Weber-Fechner law in sensory perception.The article discusses the prevalence of skewed distributions in various aspects of brain function and structure, challenging the common assumption that brain parameters follow a Gaussian distribution. Skewed distributions, often lognormal, are observed in synaptic weights, firing rates, population synchrony, and axon diameters. These distributions suggest that a small minority of neurons or synapses plays a disproportionately large role in brain activity and communication. The authors explore how these skewed distributions might be related across different levels of brain organization, from synapses to cognition, and how they contribute to the brain's dynamic and efficient information processing. They also highlight the implications of these distributions for data collection and analysis, and the potential for skewed distributions to explain phenomena such as the "replay" of neuronal sequences during sleep and the Weber-Fechner law in sensory perception.