stale data

USAGE SUMMARY

'stale data' is a correct and usable phrase in written English.
It refers to data that is no longer relevant or accurate due to being outdated or not updated regularly. Example: The analysis presented in the report is based on stale data, as it was collected two years ago and the current market conditions have significantly changed since then.

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

13 human-written examples

While accuracy score of naive adversaries were not affected by the staleness of the data, the effect of stale data is found to be significant for legitimate users and strong adversaries.

Human-centric Computing and Information Sciences

While response correctness of both strong and naive adversaries was not affected by the staleness of the data, the effect of stale data is found to be significant for legitimate users.

Human-centric Computing and Information Sciences

So economists have had to rely until now to some extent on stale data from November.

The New York Times

The reader surveys that newspapers relied on for decades took months to produce, often leaving editors with stale data.

The New York Times

And as Ms. Riedel encountered, colleges that use the federal template may suffer from stale data, because the Department of Education does not update its data set immediately when institutions report their information.

The New York Times

This would likely lead to applications using stale data.

Journal of Internet Services and Applications

Human-verified similar examples from authoritative sources

Similar Expressions

46 human-written examples

Academics who once had to choose between stale government data or aggregated sales information from the National Association of Realtors can now sift through detailed neighborhood information almost as soon as a "Sold" sign goes up on the lawn.

The New York Times

This requires the provisioning of significant dedicated monitoring resources, which increases the propagation latency; potentially resulting in stale monitoring data at the top of the hierarchy.

Journal of Cloud Computing

Unintentional sources of noise also creep into disaster data (e.g., through the spreading of false rumors on social networks; or through the circulation of stale information about some time-critical matter).

Journal of International Humanitarian Action

"People often ask how stale is the data," says Kostin.

Forbes

The more those conversations and signposts move elsewhere, the more stale Facebook's data becomes.

TechCrunch

Expert writing Tips

Best practice

When working with data, always check its recency and update it regularly to avoid making decisions based on "stale data".

Common error

Do not assume that data you're using is current without verifying its source and update frequency. Relying on outdated information can lead to flawed analysis and poor decision-making.

Linguistic Context

The phrase "stale data" functions as a noun phrase with an adjective modifying the noun. It describes a state of data being outdated or no longer accurate. Ludwig AI confirms that the phrase is a correct and usable term in written English.

Expression frequency: Common

Frequent in

Science

30%

News & Media

40%

Formal & Business

30%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "stale data" is a commonly used and grammatically sound phrase that refers to information that is no longer current or accurate. Ludwig AI confirms its validity, and it's crucial to be aware of its implications in various contexts, including science, news, and business. To avoid the pitfalls of using "stale data", regularly update datasets and verify their source and timestamp. Alternatives like "outdated information" or "obsolete data" can be used depending on the specific nuance you want to convey. Always prioritize using up-to-date information to ensure reliable analysis and informed decision-making.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Outdated information

Focuses on the fact that the information is no longer current.

Obsolete data

Highlights that the data is no longer in use or relevant.

Old data

A simpler and more direct way to express that the data is not recent.

Inaccurate information

Emphasizes that the data may no longer be correct or truthful.

Unreliable data

Focuses on the lack of dependability of the data.

Antiquated data

Suggests the data is old-fashioned and out of step with current standards.

Invalid data

Indicates that the data is no longer valid or applicable.

Past data

Emphasizes the data belongs to a previous time period.

Historic data

Highlights that the data relates to past events or conditions.

Legacy data

Suggests the data is from an old system or technology that is no longer in primary use.

FAQs

What does "stale data" mean?

"Stale data" refers to information that is no longer current or accurate. It's data that has become outdated and may not reflect the present situation, leading to incorrect conclusions if used for decision-making.

How can I avoid using "stale data"?

To avoid using "stale data", regularly update your datasets, check the source and timestamp of the information, and establish processes for data validation and refreshing. Prioritize real-time data feeds and APIs where available.

What are some alternatives to "stale data"?

You can use alternatives like "outdated information", "obsolete data", or "unreliable data" to convey that the data is no longer current or accurate.

Why is it important to avoid "stale data" in analysis?

Using "stale data" can lead to inaccurate analyses, flawed predictions, and poor decision-making. It's crucial to ensure your data is up-to-date to gain reliable insights and make informed choices. For example, using "antiquated data" in financial forecasting could result in significant losses.