faulty data

USAGE SUMMARY

"faulty data" is a correct and usable term in written English.
You can use it to refer to any information that is incorrect, incomplete, or otherwise unreliable. For example, "The results of the survey were inconclusive due to faulty data."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

And faulty data can circulate forever.

The New York Times

But the version published this week omits the statement because it was based on faulty data.

The Guardian

If one finding must be dismissed because of faulty data, then so must the others.

The New York Times

Both calls, which some network executives later acknowledged were based on faulty data and misleading returns, had to be retracted.

The New York Times

But in 2000, the counties mistakenly purged an unknown number of legitimate voters from the rolls because of faulty data.

The New York Times

When I spoke to scientists, many complained that Reeve's impatience could lead to premature conclusions or faulty data.

The New Yorker

More than 500 American troops and thousands of innocent Iraqi civilians have been killed in the war that was launched on that faulty data.

The New York Times

Critics said the faulty data had helped justify decisions to approve development in the marshes, prairies and pastures where the cats roam at night.

The New York Times - Science

Two environmental groups filed suit in August 2000, contending that the plan relied on faulty data and would allow a rash of commercial development in the valley.

The New York Times

That faulty data triggered the activation of the aircraft's "Alpha Protection" system, which usually prevents stalling and the effects of windshear.

The Guardian

Unfortunately, when the overall data set is that huge, even half a percent of faulty data means a lot of flaws.

The New York Times - Tech

Expert writing Tips

Best practice

When analyzing data, always cross-validate with other sources to minimize the impact of using "faulty data". This ensures more reliable conclusions.

Common error

Avoid assuming all data is accurate upon initial collection. Always implement data validation and cleaning procedures to identify and correct potentially "faulty data" before analysis.

Linguistic Context

The phrase "faulty data" functions as a noun phrase where the adjective "faulty" modifies the noun "data". This describes data that is inaccurate, unreliable, or contains errors. Ludwig AI confirms its correctness and usability.

Expression frequency: Very common

Frequent in

Science

32%

News & Media

59%

Formal & Business

9%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, “faulty data” is a grammatically correct and frequently used phrase to describe inaccurate or unreliable information. Ludwig AI confirms this. It is prevalent in scientific and news contexts, indicating its widespread relevance. When using this term, ensure you cross-validate your data to prevent erroneous conclusions. Alternatives such as “"inaccurate information"” or “"unreliable data"” can be used depending on the specific nuance you want to convey. It is crucial to avoid assuming all data is accurate without proper validation to prevent mistakes.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Inaccurate information

Replaces "data" with the broader term "information" and "faulty" with "inaccurate", generalizing the concept.

Erroneous data

Substitutes "faulty" with "erroneous", indicating a deviation from what is correct or true.

Unreliable data

Replaces "faulty" with "unreliable", focusing on the lack of dependability of the data.

Flawed data

Synonymous replacement of "faulty" with "flawed", indicating imperfections or defects in the data.

Defective data

Replaces "faulty" with "defective", suggesting that the data has some inherent problem.

Incorrect data

Substitutes "faulty" with "incorrect", emphasizing that the data is not in accordance with the facts.

Corrupted data

Suggests the data has been damaged or altered, making it unreliable.

Invalid data

Indicates that the data does not conform to specified constraints or rules.

Compromised data

Implies that the data has been exposed or altered in a way that reduces its integrity.

Tainted data

Uses "tainted" to mean the data is corrupted or contaminated, making it unsuitable for use.

FAQs

How can I use "faulty data" in a sentence?

You can use "faulty data" to describe information that is incorrect or unreliable. For example: "The conclusions were based on "faulty data" and therefore invalid."

What's a good substitute for "faulty data"?

Alternatives include "inaccurate information", "erroneous data", or "unreliable data". The best choice depends on the specific context.

What does "faulty data" typically lead to?

"Faulty data" often leads to incorrect conclusions, flawed decision-making, and wasted resources. Therefore, it's crucial to ensure data accuracy and reliability.

How do you prevent using "faulty data" in research?

To minimize the risk of using "faulty data", implement rigorous data validation procedures, cross-reference data with multiple sources, and use statistical methods to identify and remove outliers.