a model breaks down

USAGE SUMMARY

The phrase "a model breaks down" is correct and usable in written English.
It can be used in contexts where a model, such as a theoretical framework or a physical object, fails to function or is no longer valid. Example: "When the data did not fit the expected outcomes, it became clear that a model breaks down under certain conditions."

✓ Grammatically correct

Academia

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Identifying the point at which the market turns against a model is critical, yet it is not always clear whether a model breaks down because of temporary or permanent market changes, and traditional testing techniques don't provide a reliable answer.

Columbia University

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Split into five stages, the model breaks down the evolution of a feminist identity from "passive acceptance" of traditional gender roles to an active commitment to perpetuate nonsexist ideals of gender equality regardless of biology or sexual orientation.

Columbia University

An empirical model for the extent of the spin-up radius is developed to provide a guide to the zone at which the Nusselt model breaks down.

Chemical Engineering Science

Unfortunately, this model breaks down when it comes to a lot of arts degrees especially political theory.

Vice

This new model breaks down the OpenCV library component into a set of 10 libraries with dependencies among them.

Journal of Software Engineering Research and Development

That model breaks down when banks span states or countries.

The Washington Post

The 3 Horizons model breaks down strategy into three parts.

Harvard Business Review

If enough people do this, the business model breaks down.

The Economist

With the emergence of smart, connected products, however, this classic model breaks down.

Massachusetts Institute of Technology

At the full monolayer, three body and higher order collisions are dominant and the rough hard disk model breaks down, as expected.

Carbon

With blockchain, this model breaks down completely.

TechCrunch

Expert writing Tips

Best practice

When using the phrase "a model breaks down", clearly specify the conditions or context under which the model fails to avoid ambiguity. For example, "The economic model breaks down during periods of high inflation."

Common error

Avoid stating that "a model breaks down" without providing specific reasons or evidence. Instead of saying, "The model breaks down", specify why and how it fails. For instance, "The climate model breaks down when predicting regional rainfall patterns due to insufficient data resolution."

Linguistic Context

The phrase "a model breaks down" functions as a statement indicating the failure or inapplicability of a particular model. It describes a situation where the model's assumptions or predictions are no longer valid. Ludwig AI confirms that the phrase is correct and usable in written English.

Expression frequency: Common

Frequent in

Science

33%

News & Media

33%

Academia

33%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "a model breaks down" is a versatile expression used to indicate the failure or inapplicability of a particular model across various domains. As highlighted by Ludwig AI, it is grammatically correct and widely used. Its frequency spans from scientific literature to news articles, confirming its acceptance in different registers. When employing this phrase, clarity is essential; specify the conditions causing the breakdown. Alternatives such as "the model fails" or "the model collapses" offer nuanced ways to express a similar idea. Understanding these contexts allows for more precise and effective communication about the limitations of models in diverse fields.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

the model fails

Directly indicates the model's inability to perform as expected.

the model collapses

Suggests a more dramatic and complete failure of the model.

the model is invalid

Indicates that the model's assumptions or structure are flawed.

the model is not applicable

Highlights that the model is unsuitable for the specific situation.

the model is ineffective

Focuses on the model's inability to produce the desired results.

the model loses its validity

Implies that the model was once valid but is no longer so.

the model ceases to function

Emphasizes the cessation of the model's operational capability.

the model proves inadequate

Highlights the model's insufficiency in addressing the problem.

the model reaches its limits

Suggests the model has inherent boundaries that it cannot exceed.

the model is no longer sustainable

Indicates the model cannot be maintained or continued in its current form.

FAQs

How can I use "a model breaks down" in a sentence?

You can use "a model breaks down" to indicate that a particular model, whether theoretical or physical, fails to function or is no longer valid under certain conditions. For instance, "The financial model breaks down during unexpected market volatility."

What are some alternatives to "a model breaks down"?

Alternatives include "the model fails", "the model collapses", or "the model is no longer applicable", depending on the specific context. For example, you could say "the model fails to accurately predict customer behavior".

Is it appropriate to use "a model breaks down" in formal writing?

Yes, "a model breaks down" is appropriate for formal writing, especially in academic, scientific, and professional contexts. However, ensure the context is clear and specific about when and why the model fails.

What does it mean when "a model breaks down"?

When "a model breaks down", it signifies that the model's assumptions, structure, or predictions are no longer valid or accurate. This can occur due to changes in the underlying conditions, limitations in the model itself, or the emergence of new data that contradicts the model's predictions.