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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
excessive bias
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "excessive bias" is correct and usable in written English.
It can be used to describe a situation where there is an unreasonable or disproportionate favoritism or prejudice towards a particular perspective or group. Example: "The report was criticized for its excessive bias, which undermined its credibility and objectivity."
✓ Grammatically correct
Science
News & Media
Alternative expressions(4)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
3 human-written examples
Although bias is expected in epidemiological studies, excessive bias can invalidate a survey.
Science
As shown in Fig. 2, amplification using a standard protocol (Std) resulted in excessive bias in regions of low complexity.
Science
The two RNA pools used for the selection, containing either 70 or 80 random nucleotides to allow distinction by size (total transcript sizes 118 and 134 nucleotides, respectively), carry different primer binding sequences to prevent excessive bias due to experimenter-imposed sequence constraints.
Science
Human-verified similar examples from authoritative sources
Similar Expressions
56 human-written examples
Excessive differential bias (i.e. bias that does not affect everyone equally) is unacceptable if realistic and useful estimates of infant mortality rates are to be made.
The low RCE could be due to the excessive potential bias applied (0.45 V) to the cell as its open-circuit voltage is only 0.28 V.
Science
The evaluation period of this study of 15 30 years should be sufficiently long to avoid excessive temporal bias.
Unlike the standard WGA protocol, our optimized amplification procedure abolished excessive amplification bias and produced a more uniform coverage.
Science
These values are quite high compared to other studies that performed the two measurements within a period of one week to avoid excessive recall bias [ 41].
Science
As Berry states [ 41], excessive personal bias and exaggerated roles represent an ongoing dynamic and challenge during the elite interview process.
Science
AFM and conductive AFM imaging reveal the presence of highly conductive threading dislocations which lead to excessive reverse-bias leakage current flow in Schottky diodes.
Knowledge of relative kinetics will aid appropriate selection design to avoid excessive recovery biases.
Science
Expert writing Tips
Best practice
When using "excessive bias", provide specific examples to support your claim. This strengthens your argument and avoids vague accusations.
Common error
Avoid claiming that an "excessive bias" completely invalidates a study or argument without sufficient evidence. Acknowledge potential limitations but focus on how the bias influences the overall findings.
Source & Trust
84%
Authority and reliability
4.1/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "excessive bias" functions as a noun phrase, where "excessive" modifies the noun "bias". As indicated by Ludwig AI, it is used to describe a situation where prejudice or favoritism is unreasonably strong, compromising objectivity.
Frequent in
Science
40%
News & Media
30%
Formal & Business
10%
Less common in
Encyclopedias
5%
Wiki
5%
Reference
5%
Ludwig's WRAP-UP
In summary, "excessive bias" is a grammatically sound phrase used to denote an unreasonable level of prejudice or favoritism. Ludwig AI confirms its usability and appropriateness. Although not extremely common, it finds application across diverse domains like science and news media. Recognizing and mitigating "excessive bias" is crucial for ensuring fairness and objectivity in analysis and reporting. Alternatives such as "undue prejudice" or "unreasonable partiality" can be used depending on the context to express similar concepts.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
undue prejudice
Replaces "bias" with "prejudice", emphasizing unfair pre-judgment.
unreasonable partiality
Substitutes both words with synonyms highlighting unfair preference.
disproportionate inclination
Emphasizes the imbalanced nature of the leaning.
extreme favoritism
Replaces "bias" with "favoritism", highlighting preferential treatment.
marked imbalance
Focuses on the lack of equilibrium rather than prejudice.
undue leaning
A more neutral and less accusatory way to express the idea.
skewed perspective
Highlights the distorted viewpoint resulting from the bias.
exaggerated slant
Focuses on the amplified or overstated nature of the bias.
unjust preference
Highlights the fairness and ethical aspect.
extreme distortion
Focuses on how the bias has corrupted the original idea or stance.
FAQs
How can I identify "excessive bias" in research?
Look for consistent patterns that favor one perspective, selective use of data, and a lack of acknowledgment of alternative viewpoints. Also, consider the source's potential motivations.
What are some alternatives to using the phrase "excessive bias"?
You can use alternatives like "undue prejudice", "unreasonable partiality", or "disproportionate inclination" depending on the context.
Is it always wrong to have a bias in research or reporting?
Not necessarily. Acknowledging potential biases and striving for transparency is key. However, "excessive bias" /s/excessive+bias suggests a level of partiality that compromises objectivity.
How does "excessive bias" differ from simply having a perspective?
"Excessive bias" implies that a particular perspective is so strongly favored that it distorts the presentation of information and unfairly influences conclusions. It moves beyond a simple viewpoint to an unbalanced representation.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
84%
Authority and reliability
4.1/5
Expert rating
Real-world application tested