Standard replication data cannot support reliable demarcation between replicable and non-replicable results due to irreducible variance from non-exactness and unidentifiability of heterogeneity.
Beyond power calculations: Assessing type s (sign) and type m (magnitude) errors
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The Difference Between "Replicable" and "Not replicable" is not Itself Scientifically Replicable
Standard replication data cannot support reliable demarcation between replicable and non-replicable results due to irreducible variance from non-exactness and unidentifiability of heterogeneity.