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Suppose, for example, that the effect size is 0.8 (on some arbitrary scale), but the review was composed of many small studies that each had a power of 0.2. You would expect only 20% of the studies to be able to detect the effect—but you may find that 90% or more of the published studies found it because the rest were tossed in the bin.
Statistics Done Wrong: The Woefully Complete Guide
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