law of large numbers
C1Academic, Technical, Formal
Definition
Meaning
A fundamental theorem of probability stating that as the number of independent, identically distributed trials increases, the average of the results converges to the expected value.
The principle that a sample average stabilizes and becomes a more accurate predictor of the true population average as the sample size grows, regardless of short-term fluctuations. In broader contexts, it can metaphorically refer to the idea that patterns or stability emerge from aggregation.
Linguistics
Semantic Notes
Always used as a singular noun phrase. The concept is statistical and mathematical, but can be invoked metaphorically in non-technical discussions about trends, reliability, and aggregation.
Dialectal Variation
British vs American Usage
Differences
No significant lexical or grammatical differences. The term is identical in both varieties.
Connotations
Purely technical, with no regional connotative differences.
Frequency
Used with identical frequency in academic, financial, and statistical contexts in both regions.
Vocabulary
Collocations
Grammar
Valency Patterns
The law of large numbers [VERB: states/shows/proves] that...According to the law of large numbers,...This is a clear example of the law of large numbers in action.Vocabulary
Synonyms
Strong
Neutral
Weak
Vocabulary
Antonyms
Phrases
Idioms & Phrases
- “[Not applicable; term is a fixed technical phrase]”
Usage
Context Usage
Business
Used in risk assessment, insurance, and quality control to justify predictions based on large datasets.
Academic
Core concept in probability theory, statistics, economics, and related quantitative fields.
Everyday
Rarely used precisely; may be loosely referenced when discussing the reliability of trends from many observations.
Technical
Precise mathematical theorem with specific conditions (i.i.d. variables).
Examples
By Part of Speech
verb
British English
- The results law-of-large-numbered towards the expected value.
- [Note: No standard verb form exists]
American English
- [Note: No standard verb form exists]
adverb
British English
- [Note: No standard adverb form exists]
American English
- [Note: No standard adverb form exists]
adjective
British English
- A law-of-large-numbers effect was observed.
- The law-of-large-numbers principle is foundational.
American English
- We conducted a law-of-large-numbers analysis.
- It's a classic law-of-large-numbers demonstration.
Examples
By CEFR Level
- [Too advanced for A2]
- Casinos rely on the law of large numbers to make a profit over time.
- While a single insurance claim is unpredictable, the law of large numbers allows companies to set accurate premiums.
Learning
Memory Aids
Mnemonic
Think of flipping a coin. A few flips might give weird results, but the Law of Large Numbers says: 'Flip it a thousand times, and you'll ALWAYS get close to half heads.' Large numbers bring law and order.
Conceptual Metaphor
AGGREGATION CREATES STABILITY (Many individual, random events create a predictable whole, like many water molecules creating a predictable wave).
Watch out
Common Pitfalls
Translation Traps (for Russian speakers)
- Avoid translating as 'закон больших номеров' (incorrect). The correct translation is 'закон больших чисел'.
- Do not confuse with 'the limit theorem', which is a related but broader category.
Common Mistakes
- Using it to justify predictions for a *single* future event (e.g., 'The law of large numbers says I'm due for a win').
- Misspelling as 'law of large number' (plural 'numbers' is fixed).
- Confusing it with the 'central limit theorem' (which deals with the distribution of the sample mean).
Practice
Quiz
What does the law of large numbers fundamentally describe?
FAQ
Frequently Asked Questions
No. The LLN says the sample average converges to the expected value. The Central Limit Theorem describes the shape of the distribution of that sample average (it becomes normally distributed).
No, by definition it describes the behaviour as the sample size becomes very large. Small samples can deviate significantly from the expected value.
No, that is the 'gambler's fallacy'. The law applies to long-run averages. Each flip is independent; the coin has no 'memory'. The average will converge to 50% over thousands of flips, but the next single flip is still 50/50.
It is crucial in statistics, actuarial science (insurance), finance, gambling, quality control, and any field relying on probability and prediction from data.