This article proposes that Bayesian models can explain the unique perceptual experiences of individuals with autism. It suggests that attenuated Bayesian priors, or hypo-priors, may be responsible for the atypicalities in sensory and non-social perception in autism. These hypo-priors lead to a tendency to perceive the world more accurately, rather than being modulated by prior experience. The authors argue that this accounts for the range of sensory and non-social atypicalities in autism, including hypersensitivity, hyposensitivity, and sensory seeking behaviors. They also suggest that hypo-priors may explain the difficulty in adapting to new sensory information and the tendency for autistic individuals to experience sensory overload. The article also discusses how Bayesian inference can be used to study the mechanisms underlying these atypicalities and how it may help in developing better interventions for autistic individuals. The authors conclude that the Bayesian framework offers a promising approach for understanding the causal mechanisms of altered autistic perception.This article proposes that Bayesian models can explain the unique perceptual experiences of individuals with autism. It suggests that attenuated Bayesian priors, or hypo-priors, may be responsible for the atypicalities in sensory and non-social perception in autism. These hypo-priors lead to a tendency to perceive the world more accurately, rather than being modulated by prior experience. The authors argue that this accounts for the range of sensory and non-social atypicalities in autism, including hypersensitivity, hyposensitivity, and sensory seeking behaviors. They also suggest that hypo-priors may explain the difficulty in adapting to new sensory information and the tendency for autistic individuals to experience sensory overload. The article also discusses how Bayesian inference can be used to study the mechanisms underlying these atypicalities and how it may help in developing better interventions for autistic individuals. The authors conclude that the Bayesian framework offers a promising approach for understanding the causal mechanisms of altered autistic perception.