Sentence examples similar to undermine accuracy from inspiring English sources

The phrase "undermine accuracy" is correct and usable in written English.
You can use it when discussing actions or factors that negatively affect the precision or correctness of information or data. Example: "The lack of proper training for staff can undermine accuracy in the reporting process."

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The Known Unknowns The degree to which voter suppression efforts may undermine the accuracy of opinion polling is unclear.

He added that an innocent deviation of a single slice of pepperoni from the 48 specified for a large pizza would undermine the accuracy of published calorie counts.

The shutdown could have affected the gathering of survey responses that form the basis of the jobless rate, resulting in a smaller sample that might undermine the accuracy of the report.

The discrepancies found between the software data set and the more updated and locally validated CTI data set undermine the accuracy of simulation results hence flawing the energy performance assessment criteria based on those results.

Now that we understand how natural human psychological tendencies can undermine the accuracy of eyewitness evidence, we need to modernize the criminal justice system based on the development of scientific knowledge.

These differences in sample size do not undermine the accuracy of the obtained estimates.

In SSA, the social context may likely undermine the accuracy of self-reported age at first sex.

Previous studies have shown that the number of sequences in the alignment may undermine the accuracy of coevolution-detection methods [ 42].

In addition, its lack of using a specifically optimized docking tool for protein-ligand interactions during virtual screening may undermine the accuracy of final representatives as well.

However, further external validation of the current nomograms in other independent datasets, preferably from different countries or races, should be performed, as differences in population characteristics and treatment may undermine the accuracy and calibration of nomograms.

Particularly for time-varying behaviors and their time-varying contextual correlates, recall bias can significantly undermine the accuracy of inferences about the patterns of the behavior, its antecedents, and its consequences (Stone et al. 2007).

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