Truncated normal hurdle model is a type of computer model used to help people analyze data. It's like a simplified version of a complicated equation that makes it easier for computers to understand. It's used to better predict outcomes, or what might happen in the future, when a certain set of data is input. The model works by first 'hurdling' the data it has been given. It cuts out the top and bottom parts of the data, so it can focus better on the most important parts. Then the model takes this data, and puts it into a 'normal' model, which is a way of combining the data into what looks like a bell-shaped curve. Finally, the model looks at the curve and tries to figure out the best prediction for whatever it is being asked to predict.