The statistical horror show we all dread! When you're trying to model real-world data with a normal distribution but suddenly realize your domain is bounded... 😱
The normal distribution extends infinitely in both directions (-∞,+∞), but many real phenomena have natural boundaries (like ages can't be negative). Using it anyway creates those awkward probability tails that predict impossible values, like 150-year-old humans or negative time measurements.
Every statistician has had that toilet-staring moment of existential dread when they realize their elegant model is technically wrong. Back to the drawing board with truncated distributions!