Postspinning
Postspinning is a term used to describe the process of manipulating or analyzing data after it has been initially collected or generated, often with the intention of presenting it in a particular light. This can involve selectively highlighting certain aspects of the data, omitting others, or framing the findings in a way that supports a preconceived conclusion. While data analysis is a crucial part of research and understanding, postspinning can blur the lines between objective interpretation and biased advocacy.
The practice can manifest in various ways. For instance, a researcher might choose to focus on statistically
It is important to distinguish postspinning from legitimate data interpretation. Rigorous analysis involves acknowledging all relevant