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entropy

/EN-truh-pee/ noun

1A measure of disorder, or of how spread out energy is in a system

Entropy Definition: Why Things Tend to Spread Out

Science and ideasNounPhysicsUpdated 26 Oct 2026

A plain entropy definition: entropy is a measure of how spread out or disordered the energy and particles in a system are, and in a closed-off system it naturally tends to increase over time. Ice melting in a warm room, perfume drifting across a hall and a hot cup of tea cooling to room temperature are all cases of entropy rising.

The word started in physics, but it also has a precise meaning in information science and a loose everyday meaning of gradual decline into mess. So what does entropy mean in each setting? Here are all three, explained without any equations to memorise.

Entry at a glance

  • Meaning

    A measure of disorder or energy dispersal; in everyday speech, a slow slide into chaos
  • Part of speech

    Noun
  • Pronunciation

    EN-truh-pee
  • Word forms

    entropic (adjective), entropies (plural, technical)
  • Origin

    Coined in German as Entropie by physicist Rudolf Clausius in 1865, from Greek en (in) + trope (a turning)
  • Unit (physics)

    Joules per kelvin (J/K)
  • Opposite idea

    order; in information science, certainty

The entropy definition in physics

Physicists define entropy carefully. In thermodynamics, the science of heat and energy, entropy measures how much energy in a system is spread out and no longer available to do useful work. A more exact picture comes from counting arrangements: entropy is higher when the tiny particles of a system can be arranged in more possible ways while the whole thing looks the same from outside.

The famous rule is the second law of thermodynamics: in an isolated system, one with no energy or matter coming in or going out, total entropy never decreases. It stays the same in ideal cases and grows in real ones. This is why heat flows from a hot object to a cold one and not the other way on its own.

A worked example: ice in a drink

You drop an ice cube into a glass of juice on a warm afternoon. The water molecules in the ice are locked in a neat crystal. Heat from the juice flows into the cube, the crystal breaks apart, and soon the molecules wander freely through the liquid.

The total entropy of glass, juice and ice has gone up. The energy that was concentrated in the warm juice is now shared more evenly, and the molecules have far more ways to be arranged.

Could the juice spontaneously refreeze the cube on its own? The laws of physics do not strictly forbid it for any single molecule, but for trillions of them the odds are so tiny that it never happens in practice. That lopsided probability is the heart of entropy.

Is entropy really just disorder?

Disorder is a handy picture, and most textbooks use it at first. Physicists warn, though, that it can mislead. A tidy-looking crystal can sometimes have higher entropy than a messy-looking liquid under special conditions. The safer definition of entropy uses the phrase energy dispersal or number of possible microscopic arrangements. For everyday learning, think of entropy as nature's tendency to move from concentrated to spread out. Compare the ideas of energy and inertia, which describe different basic properties.

Entropy in information science

In the 1940s, engineers studying communication borrowed the word for a related idea. Information entropy measures how uncertain or unpredictable a message is, usually in bits. A fair coin toss has one bit of entropy, since there are two equally likely outcomes. A coin that always lands heads has zero entropy, because you learn nothing by flipping it.

This sense matters in data compression, cryptography and password strength. A password with high entropy is hard to guess because there are many possible combinations it could be.

The everyday and figurative sense

Outside science, people use entropy loosely for the way things run down when nobody puts in effort: gardens grow wild, shared drives fill with clutter, organisations lose focus. Examples:

  • Without a weekly cleanup, our team's shared folder slides into entropy.
  • The novel describes a family farm in slow entropy after the children move away.
  • My desk proves entropy is real: it gets messier every day unless I fight back.
  • Good habits are a way to push back against the entropy of a busy week.

This use is figurative, so keep it out of a physics answer. It sits close to words like chaos and decay.

Who named it, and why

The German physicist Rudolf Clausius coined Entropie in 1865, building it from Greek en, in, and trope, a turning or transformation. He chose it to sound like energy, because the two quantities are closely linked. The word appeared in English writing by 1868. The adjective entropic came later and is used both technically and figuratively.

More scientific terms, from atoms to algorithms, are explained simply in the science and ideas hub.

Frequently asked questions

What does entropy mean in simple terms for students?

Entropy is a measure of how spread out energy and particles are. Things naturally go from concentrated to spread out, like heat leaving a hot pan, and entropy tracks that change.

Can entropy ever decrease?

Yes, in one part of a system, if energy is used to create order. A refrigerator lowers the entropy inside it, but it releases heat that raises entropy in the kitchen by more. The total for an isolated system still does not go down.

Do living things break the rule of entropy?

No. Plants and animals build ordered bodies, but they take in energy, mainly sunlight or food, and release heat and waste. The entropy of their surroundings rises by more than their own order gains.

How do you pronounce entropy?

Say EN-truh-pee. Put the weight on EN and keep the middle a quick, light truh.

What is high entropy versus low entropy?

Low entropy means energy is concentrated and organised, like a charged battery or a stack of ice cubes. High entropy means it is spread out and harder to use, like the warm air left after the ice melts.

Is entropy the same as chaos?

Not in science. Chaos theory studies systems that are extremely sensitive to starting conditions, while entropy measures energy spread or uncertainty. In casual speech the two words are sometimes used loosely for mess.