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Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database.It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [1]
Fact-checking is the process of verifying the factual accuracy of questioned reporting and statements. Fact-checking can be conducted before or after the text or content is published or otherwise disseminated.
It may bias the learner towards the correct solution, the incorrect, or be correct some of the time. A classical example of an inductive bias is Occam's Razor, which assumes that the simplest consistent hypothesis is the best.
Detection bias occurs when a phenomenon is more likely to be observed for a particular set of study subjects. For instance, the syndemic involving obesity and diabetes may mean doctors are more likely to look for diabetes in obese patients than in thinner patients, leading to an inflation in diabetes among obese patients because of skewed detection efforts.
Anybody can make a good faith attempt to work out what the consensus is on a given topic. In order to present the consensus as objectively as possible, the best practice would be to "show your work," i.e. share the process, the reasoning by which the consensus was determined. A reader should be able to say, "I understand how this consensus was ...
False precision (also called overprecision, fake precision, misplaced precision, and spurious precision) occurs when numerical data are presented in a manner that implies better precision than is justified; since precision is a limit to accuracy (in the ISO definition of accuracy), this often leads to overconfidence in the accuracy, named precision bias.
Besides being dark and mysterious, crows are extremely intelligent birds. So smart, in fact, that it might be a little bit scary. Even though their brains are the size of a human thumb, their ...
Editors sometimes think that verifiable material should be accurate, but verifiable material may or may not be accurate. A famous example of verifiable material that is potentially inaccurate is the front page of the Chicago Tribune on November 3, 1948—we have an article about this headline at "Dewey defeats Truman".