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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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there were no differences

Grammar usage guide and real-world examples

USAGE SUMMARY

"there were no differences" is a correct and usable phrase in written English.
You can use it to indicate that two things being compared are the same or similar. For example, "We conducted a study comparing the effectiveness of two treatments. There were no differences in the outcomes between the two treatments."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

There were no differences between the groups.

Aides insisted there were no differences between the three ministers.

News & Media

The Guardian

Notably, there were no differences in religiosity between the groups.

News & Media

The New Yorker

There were no differences in olfactory sensitivity.

There were no differences for other screening.

However, there were no differences in EI.

There were no differences in HDL-level.

There were no differences in baseline features.

There were no differences across staircase widths.

Referring to women, there were no differences.

There were no differences between groups.

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Expert writing Tips

Best practice

When using "there were no differences", ensure that the context clearly defines what is being compared to avoid ambiguity. For instance, specify the groups or variables being examined.

Common error

Avoid using "there were no differences" without providing specific details or supporting evidence. Always back up the statement with relevant data or observations to maintain credibility.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "there were no differences" functions as a statement of equality or similarity between two or more entities or conditions. It is used to negate the presence of any discernible variation. Ludwig AI confirms that this is a correct and usable phrase in written English.

Expression frequency: Very common

Frequent in

Science

79%

News & Media

12%

Formal & Business

1%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase "there were no differences" is a grammatically sound and frequently used expression to convey that a comparison yielded no notable distinctions. Ludwig AI's analysis of numerous examples confirms its widespread applicability, particularly in scientific and news contexts. When using this phrase, it's crucial to provide sufficient context to avoid ambiguity and ensure the statement is supported by evidence. While "there were no differences" is a clear way to state equality, alternatives like "they were identical" or "the results were equivalent" can provide nuanced variations depending on the specific context.

FAQs

How can I rephrase "there were no differences"?

You can use alternatives like "there was no difference", "they were identical", or "the results were equivalent" depending on the context.

Is it better to say "there was no difference" or "there were no differences"?

Use "there was no difference" when referring to a singular comparison and "there were no differences" for plural comparisons. For example, "There was no difference in the taste" vs. "There were no differences in the flavors".

When is it appropriate to use "there were no differences" in a scientific paper?

It's appropriate when your analysis reveals no statistically significant or meaningful disparities between the groups or variables being studied. Always provide the statistical measures used to support this claim.

What does it mean when a study reports "there were no differences"?

It means that the measured outcomes or characteristics were statistically similar across the groups or conditions being compared. However, it's essential to consider the study's power and sample size, as a lack of observed difference doesn't necessarily mean there is no true difference.

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Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: