on bad data

USAGE SUMMARY

The phrase "on bad data" is correct and usable in written English.
It can be used when discussing decisions, analyses, or conclusions that are based on inaccurate or flawed information. Example: "The team's conclusions were flawed because they were working on bad data."

✓ Grammatically correct

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

All of this sounds like a parody of a 1960s sci-fi movie where the computers take over and they decide, based on bad data, that the world must end.

The New York Times

"He is leaving us with a legacy of classroom overcrowding, communities fighting over co-located schools, kindergarten waiting lists, unreliable school grades based on bad data, substandard credit recovery programs and our children starved of art, music and science — all replaced with test prep," said Leonie Haimson, the head of Class Size Matters, an advocacy group and a critic of Mr. Klein's.

The New York Times

If reputable scientists are basing their opinions on bad data then maybe we need a different peer-review process.Jeff Zohner St Louis, MissouriSIR – I agree with you that dissent and peer review should not be silenced, but "scepticism" and "consensus" must be evaluated by their true weight.

The Economist

Unfortunately, its analysis is based on bad data.

TechCrunch

"As a side note, we were surprised to learn that asset data sampled from different sources is often dissimilar, meaning that in some cases decisions regarding large deals were made based on bad data," Zipori said.

TechCrunch

However, accuracy issues abound, leading to misinformed decisions based on bad data or flawed analysis.

Huffington Post

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

It reduces the impact of bad data on the WLS algorithm for solving the state estimation problem.

Journal of Modern Power Systems and Clean Energy

An excuse of "bad data" won't do.

The New York Times

No word yet on how bad data will be purged from the system.

TechCrunch

In June 1998, just after Biland arrived at Snap-on, bad inventory data and poor training on the Baan system caused thousands of order delays that led to $50 million in lost sales.

Forbes

It is also worth noting that, in some cases, depending on measurement configuration, when considering the bad data on other measurements (for example, on PMU currents), the bad data identification function could be unable to properly identify the erroneous measurement.

EURASIP Journal on Advances in Signal Processing

Expert writing Tips

Best practice

When data quality is questionable, acknowledge this limitation upfront to manage expectations regarding the reliability of findings.

Common error

Avoid blindly trusting data. Always validate sources and methodologies to ensure you're not inadvertently building arguments "on bad data".

Linguistic Context

The phrase "on bad data" functions as a prepositional phrase, typically modifying a verb or noun to indicate that something is based upon or influenced by inaccurate or flawed information. Ludwig confirms this by presenting various examples across different contexts.

Expression frequency: Uncommon

Frequent in

News & Media

45%

Science

35%

Encyclopedias

5%

Less common in

Formal & Business

5%

Social Media

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase "on bad data" functions as a prepositional phrase that points out reliance on flawed information. Ludwig AI, confirms its grammatical correctness and appropriateness in various contexts, primarily in news, scientific, and technical domains. While not overly frequent, it effectively communicates concerns about the reliability of decisions or analyses due to poor data quality. When using this phrase, make sure to validate your data sources to avoid flawed conclusions. Alternative expressions include "based on flawed data" or "relying on inaccurate data" to provide nuanced descriptions of data-related issues.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

based on flawed data

Emphasizes the imperfection or error within the data itself.

relying on inaccurate data

Focuses on the act of depending on data that isn't correct.

using erroneous data

Highlights the mistake or incorrectness of the data being used.

drawing from unreliable data

Implies that the data source is not dependable or trustworthy.

working with corrupt data

Suggests the data has been damaged or compromised.

predicated on faulty data

Indicates that the entire basis rests on data that is not sound.

grounded on invalid data

Highlights that the foundation or justification comes from data lacking validity.

built on spurious data

Suggests the data is false or illegitimate.

stemming from defective data

Implies the origin or cause is data containing flaws.

derived from tainted data

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

FAQs

How can I use "on bad data" in a sentence?

You can use "on bad data" to describe situations where decisions or analyses are based on flawed or inaccurate information. For instance, "The project failed because it was based "on bad data"".

What's a more formal way to say "on bad data"?

More formal alternatives include "based on flawed data", "relying on inaccurate data", or "using erroneous data". All of these phrases convey the same meaning of being predicated "on bad data" but in a more elevated register.

Is it always negative to be "on bad data"?

Yes, the phrase "on bad data" inherently carries a negative connotation. It implies that something is wrong, unreliable, or likely to lead to incorrect conclusions due to the poor quality of the underlying information. It's generally not used in a positive or neutral context.

What is the difference between "bad data" and "inaccurate data"?

"Bad data" is a general term referring to data that is incorrect, incomplete, or formatted improperly. "Inaccurate data" specifically emphasizes that the data contains factual errors. While they are often used interchangeably, "inaccurate data" pinpoints the presence of errors "on bad data".