The phrase "allows for errors" is correct and usable in written English.
It can be used in contexts where flexibility or tolerance for mistakes is being discussed, such as in processes, systems, or guidelines.
Example: "The software design allows for errors, ensuring that users can recover from mistakes without losing their progress."
Alternatives: "permits mistakes" or "accommodates errors."
"The complex process of creating annual reports allows for errors and distortions of various kinds to creep in, many of which are probably not intentional," said Alan J. Davis, director of tax communications for PricewaterhouseCoopers in Canada.
Distributing the information in this way not only adds protection it allows for errors to be detected and corrected, all without actually knowing (or needing to know) the exact details of the quantum state as a whole.
Also, because DNA carries information for a specific outcome, an error can occur as the mechanism operates to produce that outcome; hence Stegmann's account allows for errors and error-correcting mechanisms (such as proof reading mechanisms that correct DNA mutations).
This process, which began to be available in the late 1980s and early 1990s, can be much faster than the old cut-and-paste method for analog film, and it more easily allows for "errors" and changes.
In effect, the technique allows for errors on the predictor, as well as on the predicted variables.
A market on the path to a $1B potential allows for error and time for real margins to develop.
In addition, we have integrated REDCap's error detection and resolution features into a Data Query Quality Control system (DQCQ) that allows for error checks of varying complexity using SAS programs.
But he said that the error rate was "alarming and appalling" and called for a system that did not allow for errors.
The former includes actions that drives employee exploration, such as promoting alternative methods for task achievement, autonomous thinking, and allowing for errors.
"Justice Hallett confirms the deep flaws in the On the Runs scheme as it had no structure, no policy and no risk assessment that would allow for errors to be rectified.
In a recent discussion, Stegmann [28] argued that in contrast to 'natural information', which does not allow for errors, the generation of misrepresentations and errors is a defining feature of what we consider as 'semantic information' in animal signals.
