This article examines deductive, inductive, and abductive reasoning using the example of rolling a fair six-sided die. Deductive reasoning establishes a theoretical model where each number has a probability of 1/6. Induction generalizes from observed rolls, suggesting probabilities like rolling a 6. Abduction seeks the best explanation for outcomes, hypothesizing potential biases in the die’s behavior. The interplay of these methods creates a robust framework for understanding probability scenarios and decision-making.