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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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must have made

Grammar usage guide and real-world examples

USAGE SUMMARY

'must have made' is a perfectly acceptable and usable phrase in written English.
It is usually used to express a conclusion made based on past evidence, for example, "She must have made a mistake, as the numbers in her report don't add up."

✓ Grammatically correct

News & Media

Science

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

50 human-written examples

I must have made like minimum wage".

News & Media

The New York Times

He must have made a fortune.

News & Media

The Guardian

That must have made things especially challenging.

News & Media

The New Yorker

It must have made quite a commotion.

"He must have made a deal".

News & Media

The Guardian

It must have made their evening.

News & Media

The Guardian
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Human-verified similar examples from authoritative sources

Similar Expressions

10 human-written examples

He simply said that he must have made a mistake.

Other Lib Dem ministers must have made similar calculations.

News & Media

The Guardian

Somebody, Mr. Elbaum added, must have made a mistake.

News & Media

The New York Times

It must have made for an extraordinary sight.

News & Media

The Guardian

They must have made fortunes laying him in-running.

Show more...

Expert writing Tips

Best practice

Use "must have made" to express a logical deduction about a past event based on available evidence. For example, "The cake is gone; she "must have made" it for the party."

Common error

Avoid using "must have made" to describe current or future actions. This phrase is strictly for expressing deductions about the past.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

89%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "must have made" functions as an epistemic modal, indicating a high degree of certainty about a past action or event. It expresses a logical deduction based on available evidence, suggesting that the speaker believes the action occurred. According to Ludwig AI, it follows standard grammar rules.

Expression frequency: Common

Frequent in

News & Media

61%

Science

26%

Encyclopedias

5%

Less common in

Wiki

4%

Formal & Business

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase "must have made" is a common and grammatically sound way to express a strong deduction about a past action or event. As Ludwig AI indicates, it adheres to standard grammar rules and finds frequent use in a variety of contexts, particularly in news and media. While alternatives exist, such as "likely created" or "probably built", the specific choice depends on the nuance you wish to convey. Remember to use this phrase to express deductions about the past, not future events, and be mindful of the difference between "must have made" (deduction) and "should have made" (regret or recommendation).

FAQs

How can I use "must have made" in a sentence?

Use "must have made" to indicate a strong inference about a past action or event, such as "He "must have made" a mistake if the results are incorrect".

What's an alternative to saying "must have made"?

Depending on the context, you could use phrases like "likely created", "probably built", or "had to produce".

Is it correct to use "must have made" for future events?

No, "must have made" is used to make deductions about past events, not future ones. For future events, use phrases like "will likely make".

What's the difference between "must have made" and "should have made"?

"Must have made" expresses a strong inference about a past event, while "should have made" expresses regret or recommendation about a past action. For example, "He "must have made" a wrong turn" vs. "He "should have made" a reservation".

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

Most frequent sentences: