biasshaped
biasshaped is a term used to describe a phenomenon where the results or interpretation of data are influenced by pre-existing beliefs, expectations, or assumptions. This bias can affect various stages of data analysis, from the initial collection of information to its subsequent presentation and conclusions.
There are several types of biasshaped influences. Confirmation bias, for instance, leads individuals to favor information
Recognizing and mitigating biasshaped effects is crucial for ensuring the integrity and objectivity of research and