In this post, we will discuss how we can consider Entropy as Probability. We have already covered entropy (disorder) when we discussed the **2nd law of Thermodynamics**.

**There is a statistical explanation of entropy that says that the most disorder state is the most probable one.** We will present this with the example of the* flipping of 2 coins*.

Suppose you flip two coins at once. Let’s list the possible outcomes.

We’ll use T=tails and H=heads

One possibility for two tails: TT

One possibility for two heads: HH

Two possibilities for one head and one tail: TH or HT

*There are a total of four possible outcomes with a 25% chance of getting two tails and a 25% chance of getting two heads. But there is a 50% chance of getting one head and one tail.*

The more organized states (those above with a 25% probability) have a lower probability of occurring.

The most probable outcomes in the natural world are those with the greatest disorder.

A teacup falling and shattering is a disordered state and much more likely to occur than is a shattered teacup reconstructing itself into a more ordered state.