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Writer's pictureRIck LeCouteur

Beyond 'Presumptive': Expanding the language of scientific uncertainty

Updated: Sep 25



In addition to "presumptive," "presumed," and "suspected," there are several other terms commonly used in scientific manuscripts to convey uncertainty, preliminary findings, or a need for further validation.

 

These terms help nuance the communication of results, acknowledging the complexities and limitations inherent in scientific research.


  • Probable: Suggests that there is strong evidence supporting a conclusion, but it is not yet confirmed. Often used when the likelihood of a finding being accurate is high, but further evidence is needed for confirmation.

    • "Probable Case of Zoonotic Transmission" indicates a high likelihood based on current evidence but lacks definitive proof.


  • Possible: Used to indicate that a scenario or finding is plausible based on existing evidence, but it is one of several potential explanations. It often suggests that there is less certainty compared to "probable."

    • "Possible Mechanisms of Disease Progression" implies that the proposed mechanisms are plausible but not definitively proven.


  • Potential: Denotes that something could occur or be true under certain conditions. This term is often used when discussing implications, risks, or future possibilities suggested by the data.

    • "Potential Impact of Climate Change on Migration Patterns" suggests a likely effect based on models or preliminary data, but not yet observed conclusively.


  • Putative: Commonly used in scientific literature, "putative" refers to something generally considered or assumed to be true based on preliminary evidence, particularly in genetics and molecular biology.

    • "Putative Gene Associated with Disease Resistance" indicates an assumed association that requires further validation.


  • Apparent: Suggests that findings seem to be true based on available evidence but that appearances may be misleading or incomplete. It conveys a visible or initial impression that awaits further scrutiny.

    • "Apparent Efficacy of New Treatment in Clinical Trials" indicates initial positive results that need more robust testing.


  • Hypothetical: Used when a concept or finding is based on theoretical reasoning or models rather than empirical evidence. It emphasizes that the idea is speculative and untested.

    • "Hypothetical Model of Ecosystem Response" suggests that the model is based on assumptions rather than observed data.


  • Tentative: Implies that findings or conclusions are preliminary and subject to change with additional data. It often conveys caution in drawing firm conclusions.

    • "Tentative Identification of New Species" suggests the identification is provisional and awaits confirmation.


  • Likely: Indicates a high probability based on current evidence but still stops short of certainty. It is often used when the evidence is strong but not entirely conclusive.

    • "Likely Causes of Systemic Inflammation" suggests strong evidence but acknowledges that further confirmation is needed.


  • Indicative: Used to suggest that findings point toward a particular conclusion, but they are not definitive. It is often used in observational studies or exploratory analyses.

    • "Indicative Trends in Population Decline" implies a noticeable trend, but it’s not confirmed as causative.


  • Suggestive: Implies that findings hint at a particular conclusion but fall short of being definitive. This term is often used in exploratory phases of research.

    • "Suggestive Evidence of Gene-Environment Interaction" highlights preliminary data that implies a potential relationship needing further study.

 

Conclusion

 

The language of uncertainty is an essential aspect of scientific writing, helping to convey the nuances of evidence interpretation.

 

Terms like "probable," "possible," "putative," and others allow researchers to communicate findings with the appropriate level of caution and invite further investigation. Choosing the right term helps balance the need to report findings while accurately reflecting the level of evidence, thus maintaining scientific integrity and guiding future research directions.

 

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