What is Shannon-Hartley Law?

Shannon-Hartley Law is a mental model used for better thinking and decision-making.

How do you apply Shannon-Hartley Law?

To apply Shannon-Hartley Law, 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 Shannon-Hartley Law fall under?

Shannon-Hartley Law falls under the Natural Sciences category of mental models. Other models in this category can be found on the Natural Sciences hub page.

Why is Shannon-Hartley Law important?

Shannon-Hartley Law 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.

Where does Shannon-Hartley Law come from?

Shannon-Hartley Law is discussed in the tradition of Shannon & Hartley.

Natural Sciences

Shannon-Hartley Law

Model #0846Category: Natural SciencesSource: Shannon & HartleyDepth to apply:

5 min read

Contents

1. Core Idea
2. How to See It
3. How to Use It
4. Founders & Leaders
5. Connected Models
6. One Key Quote
7. Summary & Further Reading

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Section 1

Core Idea

The Shannon-Hartley theorem defines the maximum rate at which information can be transmitted over a communication channel with a given bandwidth and noise level. The formula is elegant: channel capacity increases with bandwidth and signal strength, and decreases with noise. As a mental model, it applies wherever information flows — conversations, organisations, marketing, leadership. Every communication channel has a maximum throughput determined by its bandwidth (how much it can carry), signal strength (clarity of the message), and noise (competing information, distraction, ambiguity). To transmit more information reliably, you either increase bandwidth, boost signal, or reduce noise. Most people only try to talk louder. The model says: cut the noise first.