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Blindspots analysis or blind spots analysis is a method aimed at uncovering obsolete, incomplete, or incorrect assumptions in a decision maker’s mental scheme of the environment. Michael Porter used the term "blind spots" to refer to conventional wisdom which no longer holds true, but which still guides business strategy. [1]
Model-based assumptions. These include the following three types: Distributional assumptions. Where a statistical model involves terms relating to random errors, assumptions may be made about the probability distribution of these errors. [5] In some cases, the distributional assumption relates to the observations themselves. Structural assumptions.
One usable definition is: "Misuse of Statistics: Using numbers in such a manner that – either by intent or through ignorance or carelessness – the conclusions are unjustified or incorrect." [1] The "numbers" include misleading graphics discussed in other sources. The term is not commonly encountered in statistics texts and there is no ...
In addition to the main result, Ioannidis lists six corollaries for factors that can influence the reliability of published research. Research findings in a scientific field are less likely to be true, the smaller the studies conducted. the smaller the effect sizes. the greater the number and the lesser the selection of tested relationships.
Greater likelihood of recalling recent, nearby, or otherwise immediately available examples, and the imputation of importance to those examples over others. Bizarreness effect: Bizarre material is better remembered than common material. Boundary extension: Remembering the background of an image as being larger or more expansive than the ...
All models are wrong" is a common aphorism and anapodoton in statistics. It is often expanded as " All models are wrong, but some are useful ". The aphorism acknowledges that statistical models always fall short of the complexities of reality but can still be useful nonetheless.
Scientific null assumptions are used to directly advance a theory. For example, the angular momentum of the universe is zero. If not true, the theory of the early universe may need revision. Null hypotheses of homogeneity are used to verify that multiple experiments are producing consistent results. For example, the effect of a medication on ...
For example, compiling facts into a single place, comparing and contrasting facts, linking to synonymous terms and related topics, and translating from foreign languages is not original research. While errors in performing these tasks may occur, it is usually not disputable that they are true.