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An artificial example of how a mismatch between the model assumptions and the data can lead to poor posterior predictive fits. Here, 5% of the Mandarin VOT values were randomly replaced with 0 ms values and the same model as the one for research question 1 was fit. Now the posterior predictive check shows that the lack of fit between the data and the predicted values.
