Interpretive noise refers to redundant or uncontrolled interpretive operations in which inferences exceed the scope and quality of available data. This can take the form of harmonization, overinterpretation, preferential selection of variants, or the implicit import of theoretical assumptions. EBBS counteracts this type of noise through the principle of proportionality of conclusions and the separation of analysis and interpretation stages.
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