unreliable data

USAGE SUMMARY

The phrase "unreliable data" is correct and usable in written English.
You can use it when discussing information or statistics that cannot be trusted or verified. Example: "The results of the experiment were inconclusive due to the presence of unreliable data that skewed the findings."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The use of radiofrequency identification (RFID) technology generates a high-volume, simple and unreliable data stream due to the technology's inherent unreliability.

International Journal of Production Economics

The government's position is particularly troubling because it is based on notoriously unreliable data.

The Guardian

In other words, these are crude estimates based on unreliable data – and several years out of date.

The Guardian - Opinion

It is a lose-lose proposition: [companies] get unreliable data which lead [them] to build poor exams.

The Washington Post

Fearing retribution, very few people talk openly about it (twisting the dials is so easy, you know…), but they all complain about inaccurate, unreliable data.

The Guardian - Tech

The damage done to job seekers by flawed and unreliable data — a common problem with such services — can be devastating.

The New York Times

Concerns have been raised, however, that the study fails to assess portion sizes accurately and could contain unreliable data.

Independent

Record-keeping for the Dow has been imperfect, particularly in its early days, so Mr. Mehta eliminated unreliable data.

The New York Times

And the cost of AI mistakes — whether they come from bias or flat-out error based on unreliable data or faulty algorithms — is rising.

Massachusetts Institute of Technology

However, because of the inherent non-uniformities in organic processing, organic analog circuits suffer from large variations that lead to inaccurate and unreliable data conversion.

Stanford University

In a new report, however, a panel of experts says the payment formulas are deeply flawed, and that Medicare uses inaccurate, unreliable data to pay doctors and hospital.

The New York Times

Expert writing Tips

Best practice

When presenting research, clearly identify and acknowledge any "unreliable data" and explain the steps taken to mitigate its impact on the findings.

Common error

Avoid basing critical decisions solely on data without first assessing its reliability and validity. Always cross-reference information and consider potential sources of error or bias.

Linguistic Context

The phrase "unreliable data" functions as a noun phrase, where "unreliable" is an adjective modifying the noun "data". It describes data that is not trustworthy or dependable. As Ludwig AI confirms, this is a correct and usable phrase in English.

Expression frequency: Very common

Frequent in

Science

41%

News & Media

36%

Academia

15%

Less common in

Formal & Business

5%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "unreliable data" is a commonly used and grammatically correct term that describes information lacking trustworthiness or accuracy. Ludwig AI affirms its validity, and its prevalence across diverse fields like science, news, and academia highlights its importance. Understanding the contexts, potential errors, and alternative expressions for "unreliable data" empowers writers and researchers to communicate more effectively and avoid misinterpretations. Remember to acknowledge and mitigate the impact of questionable information, and always assess the reliability of data before making critical decisions. The most frequent authoritative sources that use this term are The Guardian, The New York Times, and Huffington Post.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Inaccurate data

Focuses on the lack of correctness in the data.

Questionable data

Highlights the uncertainty and doubt surrounding the data.

Flawed data

Emphasizes the presence of defects or imperfections in the data.

Dubious data

Suggests a strong element of doubt and suspicion regarding the data's validity.

Suspect data

Indicates that the data is under suspicion of being incorrect or manipulated.

Unverified data

Points out that the data has not been confirmed as true or accurate.

Untrustworthy data

Highlights the lack of credibility and reliability in the data.

Invalid data

Indicates that the data does not meet the required criteria or standards.

Corrupted data

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

Specious data

Suggests that the data appears to be true but is actually false or misleading.

FAQs

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

You can use "unreliable data" to describe information that should not be trusted. For example, "The study's conclusions were weakened by the presence of "unreliable data".".

What is a good alternative to "unreliable data"?

Depending on the context, you could use alternatives such as "inaccurate data", "questionable data", or "flawed data".

How does "unreliable data" impact research?

"Unreliable data" can skew results, leading to incorrect conclusions and potentially invalidating research findings. It's crucial to identify and address sources of "unreliable data".

What are some common causes of "unreliable data"?

Common causes include measurement errors, biased sampling, data entry mistakes, and flawed methodologies. Understanding these causes helps in identifying and mitigating "unreliable data".