What is Bias Against Null Results?

Bias Against Null Results is a mental model used for better thinking and decision-making.

How do you apply Bias Against Null Results?

To apply Bias Against Null Results, identify situations where this framework is relevant, then use it as a lens to evaluate your options and decisions. The model is most useful when combined with other complementary mental models.

What category does Bias Against Null Results fall under?

Bias Against Null Results falls under the General Thinking & Meta-Models category of mental models. Other models in this category can be found on the General Thinking & Meta-Models hub page.

Why is Bias Against Null Results important?

Bias Against Null Results is important because it provides a structured way to think about problems that would otherwise be approached with intuition alone. Understanding this model helps you avoid common reasoning errors and make better decisions.