unfair data

USAGE SUMMARY

The phrase "unfair data" is correct and usable in written English.
It can be used when discussing data that is biased, misleading, or not representative of the true situation. Example: "The results of the survey were based on unfair data, leading to conclusions that do not accurately reflect the opinions of the entire population."

✓ Grammatically correct

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

The question on the tolerability of these treatments remains open and the unfair data about AEs make any comparison doubtful.

The Journal of Headache and Pain

As explained in the previous subsection, and later in Remark 1, these differential backlog terms lead to unfair data admission for indirect users, and their effect can be reduced by using ({rho ^{m}_{k}}W_{e}) terms.

EURASIP Journal on Wireless Communications and Networking

Alder Hey Children's NHS Foundation Trust wrote to the CQC on 1 November 2013 arguing the commission's highest priority for safety monitoring, or band one, was based on "inaccurate and unfair data".

BBC

Unfortunately, those who want less regulation not more wish to shackle the FTC's ability to use its power to challenge unfair data security practices.

Huffington Post

Human-verified similar examples from authoritative sources

Similar Expressions

56 human-written examples

While we believe this is not an unfair aggregation of data, it is by no means an ideal aggregation of data.

eLife

F.I.A., the sport's governing body, concluded that McLaren had probably gained an unfair advantage with data from its rival Ferrari.

The New York Times - Sports

Basically, the poorer research subjects felt less powerful when it came to dealing with any problems that might occur; arguing their case on identity theft, for example, or fighting unfair use of data by employers.

The Guardian - Opinion

At a closed session at the conference, Mr Norman said: "If people are building up a worry or presumption about Conservatives being unfair, then any data you add that allows them to form that theory is going to be extremely dangerous.

Independent

Furthermore, they find it unfair that their data are used to generate revenue by online services without their knowledge or without their benefit from this.

Computers in Human Behavior

F.I.A. concluded that McLaren had probably gained an unfair advantage by obtaining data from its rival Ferrari.

The New York Times - Sports

However, the federation concluded that the McLaren team probably had gained an unfair advantage by obtaining data from its rival Ferrari.

The New York Times - Sports

Expert writing Tips

Best practice

When discussing the potential impact of "unfair data", specify the type of unfairness (e.g., biased sampling, flawed methodology) to provide a clearer understanding of the issue.

Common error

Avoid assuming that all data is inherently objective. Always critically evaluate the sources and methods used to collect and analyze data to identify potential sources of bias or "unfair data".

Linguistic Context

The phrase "unfair data" functions as an adjective-noun combination, where "unfair" modifies "data". It describes data that is not equitable, impartial, or accurate. Ludwig AI confirms this is a usable phrase.

Expression frequency: Rare

Frequent in

News & Media

40%

Science

30%

Formal & Business

10%

Less common in

Encyclopedias

5%

Wiki

5%

Reference

10%

Ludwig's WRAP-UP

The phrase "unfair data" is used to describe datasets that are biased, inaccurate, or not representative of the true situation. As confirmed by Ludwig AI, it’s a correct and usable phrase. While relatively rare, it commonly appears in both news and scientific contexts, emphasizing the importance of critically evaluating data sources. When you need an alternative, consider using "biased data", "misleading data", or "inaccurate data" to more precisely convey the issue at hand. Remember, always evaluate data critically to avoid flawed decision-making.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

biased data

Focuses specifically on the presence of prejudice or partiality in the data.

inaccurate data

Directly states that the data contains errors or is not truthful.

misleading data

Highlights the potential to deceive or give a false impression.

skewed data

Emphasizes the distortion or lack of symmetry in the data distribution.

unreliable data

Indicates that the data cannot be trusted due to inconsistencies or inaccuracies.

flawed data

Points out inherent imperfections or defects in the data collection or analysis process.

unrepresentative data

Highlights the fact that data does not accurately reflect the population or phenomenon it is supposed to represent.

corrupted data

Suggests that the data has been damaged or altered, leading to inaccuracies.

manipulated data

Indicates that the data has been intentionally altered to achieve a specific outcome.

tainted data

Suggests that the data has been contaminated or compromised in some way.

FAQs

How can I identify "unfair data" in research?

To identify "unfair data", scrutinize the data collection methods, sample selection, and potential sources of bias. Look for imbalances, misrepresentations, or manipulations that could skew the results. Consider if the data accurately reflects the population or phenomenon it intends to represent.

What are the consequences of using "unfair data" in decision-making?

Using "unfair data" can lead to skewed conclusions, biased decisions, and inequitable outcomes. It can perpetuate existing inequalities and reinforce inaccurate perceptions. Be sure to critically evaluate the data before using it to make important decisions.

Which is a better phrase, "unfair data" or "biased data"?

Both "unfair data" and "biased data" are valid, but "biased data" specifically highlights the presence of prejudice or partiality, while "unfair data" is a more general term that encompasses various forms of skewed or inaccurate information.

What can I say instead of "unfair data"?

You can use alternatives like "misleading data", "skewed data", or "inaccurate data" depending on the context.