Is Your Company Reading Data the Wrong Way?
HBR IdeaCast
Beware the Sample Size Trap
Misjudging the potential magnitude of effects often arises from a lack of appreciation for sample size. Smaller, unrepresentative samples can lead to an overestimation of effects, diminishing the reliability of conclusions drawn from such data. It's crucial to understand that correlation does not imply causation and to ensure that statistical findings are supported by adequate sample sizes to avoid misleading interpretations.
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