Statistical Inference and Common Misapplications
How everyday statistical vocabulary elides the inference errors behind most reported findings — selection, power, and specification.
Inference is often conflated with the testing vocabulary that encodes it — but the matters that affect inference (selection, specification, power) almost always show up beneath the visible vocabulary. From the LHS Lens, the inherited-conditioning here is that 'statistically significant' has come to feel like 'true' when only the specified alternative could fail to be excluded.
LHS Lens Analysis
An analytical framework for exploring how narratives, identity, institutions, and communication may shape understanding. Does not assert conclusions as fact.
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