overcorrection
C1Formal, Academic, Technical
Definition
Meaning
The act or instance of correcting something too much or beyond what is needed, often resulting in a new error.
In linguistics and social behavior, a specific form of hypercorrection where a speaker or individual, in an effort to avoid a perceived error or social stigma, adopts an alternative form that is itself incorrect or overly formal.
Linguistics
Semantic Notes
Primarily used in technical contexts (linguistics, statistics, medicine, engineering). Implies an action taken with good intent that leads to a negative outcome.
Dialectal Variation
British vs American Usage
Differences
No significant differences in meaning or usage.
Connotations
In both varieties, the term often carries a slightly negative or cautionary connotation, implying a mistake made in the process of trying to improve.
Frequency
Slightly more common in American English within statistical and psychological discourse.
Vocabulary
Collocations
Grammar
Valency Patterns
overcorrection of [noun phrase]overcorrection in [noun phrase/gerund]overcorrection by [agent]Vocabulary
Synonyms
Strong
Neutral
Weak
Vocabulary
Antonyms
Phrases
Idioms & Phrases
- “[No common idioms]”
Usage
Context Usage
Business
Refers to an excessive adjustment of a business strategy or financial forecast that leads to worse results.
Academic
Common in linguistics (sociolinguistics), psychology, and statistics, describing an error arising from an attempt to be 'correct'.
Everyday
Rare in casual conversation; might be used when discussing a driver over-steering or a parent being excessively strict.
Technical
Used in optometry (overcorrected vision), engineering (control systems), and medicine (orthopedic surgery).
Examples
By Part of Speech
verb
British English
- The surgeon took care not to overcorrect the alignment of the bone.
American English
- If you overcorrect the steering on ice, you might spin out.
adverb
British English
- He adjusted the settings overcorrectly, making the problem worse.
American English
- The policy was implemented overcorrectly, harming the very group it aimed to help.
adjective
British English
- The overcorrected lens prescription gave her headaches.
American English
- We are reviewing the overcorrected data from the initial model.
Examples
By CEFR Level
- The teacher said my answer was good, but I changed it too much. That was an overcorrection.
- When learning a new language, overcorrection of your accent can sometimes make it harder to understand.
- The economic policy was an overcorrection to the previous crisis and inadvertently stifled growth.
- Linguistic overcorrection, such as using 'whom' where 'who' is correct, often signals a speaker's social aspirations.
Learning
Memory Aids
Mnemonic
Think of a pendulum: a correction pushes it from one side, but an OVERcorrection swings it too far to the opposite side.
Conceptual Metaphor
CORRECTION IS A PHYSICAL ADJUSTMENT; OVERCORRECTION IS OVERSHOOTING A TARGET.
Watch out
Common Pitfalls
Translation Traps (for Russian speakers)
- Avoid translating directly as 'сверхкоррекция' in non-linguistic contexts; 'чрезмерная коррекция' or 'гиперкоррекция' (in linguistics) are better.
- Do not confuse with 'перестараться' (to overdo) which is broader and more colloquial.
Common Mistakes
- Misspelling as 'over-correction' (though hyphenated form is sometimes accepted).
- Using it to mean simply 'a big correction' rather than a correction that introduces a new error.
Practice
Quiz
In which field is the term 'overcorrection' LEAST likely to be used technically?
FAQ
Frequently Asked Questions
Not exactly. It is a specific type of mistake that results from trying too hard to avoid a different (real or perceived) mistake.
Rarely. By definition, it implies an excess that leads to a new problem. However, the *intent* behind the action is usually positive.
In linguistics, they are often used interchangeably. More broadly, 'hypercorrection' is a subset of overcorrection specifically related to language and social norms.
By making incremental, measured adjustments and checking results, rather than making large, reactive changes based on a single data point or fear of error.