false positive
C1Technical/Formal
Definition
Meaning
A test result that incorrectly indicates the presence of a condition, disease, or attribute.
Any situation where something appears to be true or present when it is not; a mistaken positive identification or conclusion.
Linguistics
Semantic Notes
Primarily used in testing, screening, and data analysis contexts. Implies an error in a binary classification system where a negative case is mislabeled as positive.
Dialectal Variation
British vs American Usage
Differences
No significant lexical differences. Both varieties use the compound noun identically.
Connotations
Technical/medical connotations in both varieties.
Frequency
Equally common in technical discourse in both UK and US English. Slightly less frequent in everyday UK conversation than in US, due to broader cultural discussion of medical testing in US media.
Vocabulary
Collocations
Grammar
Valency Patterns
The test produced a false positive.We need to minimise false positives.It was flagged as a false positive.Vocabulary
Synonyms
Strong
Neutral
Weak
Vocabulary
Antonyms
Phrases
Idioms & Phrases
- “Cry wolf (in the context of alarms/security)”
Usage
Context Usage
Business
In data analytics, a false positive in fraud detection wastes investigation resources.
Academic
The study's methodology aimed to control the false positive rate to below 5%.
Everyday
The pregnancy test was a false positive, which was emotionally confusing.
Technical
The intrusion detection system's high false positive rate rendered it unreliable.
Examples
By Part of Speech
verb
British English
- The algorithm tends to false-positive on images with poor lighting.
- The system false-positives approximately twice per hour.
American English
- The software false-positives whenever it encounters this file type.
- Early prototypes would false-positive constantly.
adjective
British English
- We received a false-positive result from the lab.
- The false-positive rate needs to be addressed.
American English
- The false-positive alert caused unnecessary panic.
- They conducted a false-positive analysis.
Examples
By CEFR Level
- The fire alarm was a false positive; there was no fire.
- The email filter marked her message as spam, but it was a false positive.
- Despite the security scan showing a threat, it turned out to be a false positive caused by a bug.
- To improve the diagnostic tool, researchers focused on reducing its false positive rate without compromising sensitivity.
Learning
Memory Aids
Mnemonic
Think of a security alarm that goes off when a cat walks by, not a burglar. It's positive (alarm sounds) but false (no real threat).
Conceptual Metaphor
A FALSE ALARM is a FALSE POSITIVE.
Watch out
Common Pitfalls
Translation Traps (for Russian speakers)
- Avoid direct calque 'ложный позитив'. Use 'ложноположительный результат' or the English term in technical contexts.
- Do not confuse with 'ошибка первого рода' (Type I error) which is a specific statistical synonym.
Common Mistakes
- Using as an adjective without a noun (e.g., 'The result was false positive' should be '...a false positive').
- Confusing with 'false negative'. A false positive says something is there when it isn't; a false negative says something isn't there when it is.
Practice
Quiz
In statistical hypothesis testing, a 'false positive' is formally known as:
FAQ
Frequently Asked Questions
The direct opposite is a 'true negative' (correctly identifying the absence of something). The complementary error is a 'false negative' (failing to identify something that is present).
Yes. It is widely used in computing (e.g., antivirus software, spam filters), security (intrusion detection), and everyday language for any situation where something is mistakenly identified as true or present.
In informal technical jargon, especially in computing, it can be used as a verb (e.g., 'The sensor false-positives in humid conditions'). This is not standard in formal writing, where 'produce a false positive' or 'trigger a false positive' is preferred.
By refining the test's criteria or threshold, using more specific indicators, combining multiple testing methods, and regularly calibrating the testing system based on new data.