Issues involving the use of significant sameness in testing replications and generating knowledge

Hubbard and Lindsay's article in this issue proposes a framework for generating knowledge based upon significant sameness of replications rather than significant differences. This critique agrees with their basic premise, but points out weaknesses in their proposal to use overlapping confidence intervals around effect sizes in close replications as the criterion for knowledge.