mutual causality

USAGE SUMMARY

The phrase "mutual causality" is correct and usable in written English.
It can be used in contexts discussing relationships where two or more entities influence each other reciprocally. Example: "In the study of ecosystems, researchers often explore the concept of mutual causality to understand how species interact and affect one another's populations."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

Two key elements of evolutionary guidance media are discussed: a databank containing purposeful data from nine or more dimensions of human activity, and transception, the infusion of cyberception with qualities arising from mutual causality.

Futures

A great challenge of particular importance is to understand feedbacks between resource heterogeneity and clonality, as there is mutual causality between them.

Annals of Botany

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

With his inaugural world tour, President Obama's rhetoric hopes to repair and rebuild diplomatic bridges with Muslim countries recklessly abandoned by George Bush's aggressive, Yosemite Sam foreign policy – one which resulted in heightened animosity, mutual mistrust, and civilian causalities written off as collateral damage.

The Guardian - Opinion

System Dynamics (SD) is a computer-aided modelling methodology that can be used to perform policy analysis and decision support system (DSS) applied to dynamic problems arising in complex social, managerial, economic, or ecological dynamic systems characterized by interdependence, mutual interaction, information feedback, and circular causality.

Small Ruminant Research

Subsequently, the Granger causality method is suggested to further clarify mutual impacts of similar alarm variables based on process data.

Journal of Loss Prevention in the Process Industries

The BN approach is more appealing than graphs constructed based on correlation or mutual information metrics for it allows rigorous statistical inference of causality between genetic and epigenetic features.

BMC Systems Biology

Potential causalities for this coexpression of NTFs include their mutual transcriptional activation through Notch signalling, particularly by RBP-Jk, JAG1 and NOTCH1-4, as well as their collective activation by inflammatory IL-1, TNF α and Ikk2 signalling (Maier and Gessler, 2000; Kunnimalaiyaan et al, 2005; Staal and Langerak, 2008; Maniati et al, 2011; Wang et al, 2013).

British Journal of Cancer

Given that lagged mutual information is likely to be a misleading indicator of time-directed information flow (see Section "Transfer entropy and granger causality"), the study was recently repeated using transfer entropy.

Complex Adaptive Systems Modeling

Causality is an important concern in a realistic system, within the computer, within the problem world, and in their mutual interactions.

Design Studies

The causality seems obvious.

The Guardian

Causality kept escaping her.

The New Yorker

Expert writing Tips

Best practice

When using "mutual causality", ensure the context clearly demonstrates that two or more factors are influencing each other, not just correlated.

Common error

Don't assume that because two factors change together, they have "mutual causality". Establish a clear mechanism by which each factor influences the other.

Linguistic Context

The phrase "mutual causality" functions as a noun phrase, typically serving as the subject or object of a sentence. It identifies a relationship where two or more elements influence each other reciprocally. Ludwig AI confirms that this phrase is grammatically correct.

Expression frequency: Rare

Frequent in

Science

66%

News & Media

33%

Formal & Business

0%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase "mutual causality" is a grammatically sound term used to describe relationships where two or more elements influence each other reciprocally. As Ludwig AI indicates, it's primarily employed in formal and scientific contexts to analyze complex systems. While not frequently encountered, its correct usage involves clearly demonstrating the reciprocal influence between factors, avoiding assumptions of causality based solely on correlation. Related terms such as "reciprocal causality" and "circular causality" can offer nuanced alternatives depending on the specific context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Reciprocal causality

Emphasizes the back-and-forth nature of the causal relationship.

Interdependent causality

Highlights the reliance of each element on the other in the causal process.

Circular causality

Focuses on the cyclical nature of the causal relationship.

Two-way causality

A more straightforward way of saying that each element causes the other.

Interactive causality

Highlights the interactive nature of the causal forces.

Co-causation

A shorter and more direct way of expressing the idea of shared causation.

Joint causality

Focuses on the shared or combined aspect of the causation.

Shared causality

Emphasizes the fact that the causality is not isolated to one element.

Interlocking causality

Highlights how the causal factors are connected in such a way that they influence one another.

Coupled causality

Expresses the idea of interconnected causality.

FAQs

How to use "mutual causality" in a sentence?

Use "mutual causality" to describe situations where two or more factors reciprocally influence each other. For example, "There is "mutual causality" between resource heterogeneity and clonality".

What is another way to say "mutual causality"?

You can use alternatives like "reciprocal causality", "interdependent causality", or "circular causality" depending on the specific nuance you want to convey.

What's the difference between "mutual causality" and correlation?

"Mutual causality" implies that two factors influence each other, while correlation only suggests that they tend to change together. Correlation doesn't prove causation.

Is "mutual causality" the same as a feedback loop?

The concept of "mutual causality" is closely related to a feedback loop, where the output of a system influences its input, creating a cycle of cause and effect. Both involve reciprocal influences but are used in slightly different contexts.