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Is the small positive effect reported in the 2015 meta-analysis of ninety retroactive-influence experiments explicable entirely by publication bias and analytic flexibility?

Open Question

Bem, Tressoldi, Rabeyron and Duggan report a small overall effect across ninety experiments and argue that bias-correction methods do not remove it. Critics answer that the correction methods available cannot distinguish a genuine small effect from a literature filtered by what got written up, particularly where many of the constituent studies were not pre-registered. The dispute is about the adequacy of the statistical tools, and it is live in the wider methodology literature and not only in parapsychology.

What would resolve this A registered-report replication series of adequate power, with the analysis plan lodged in advance and a commitment to publish, run by laboratories on both sides.
OpenMeta-analytic methodology; statistics; experimental psychologyDaryl J. Bem, Patrizio Tressoldi, Thomas Rabeyron and Michael Duggan, Feeling the Future: A Meta-Analysis of 90 Experiments on the Anomalous Anticipation of Random Future Events
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Source Feeling the Future: A Meta-Analysis of 90 Experiments on the Anomalous Anticipation of Random Future EventsDaryl J. Bem, Patrizio Tressoldi, Thomas Rabeyron and Michael Duggan
Source Feeling the Future: A Meta-Analysis of 90 Experiments on the Anomalous Anticipation of Random Future EventsDaryl J. Bem, Patrizio Tressoldi, Thomas Rabeyron and Michael Duggan
Source Feeling the Future: A Meta-Analysis of 90 Experiments on the Anomalous Anticipation of Random Future EventsDaryl J. Bem, Patrizio Tressoldi, Thomas Rabeyron and Michael Duggan

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Source Feeling the Future: A Meta-Analysis of 90 Experiments on the Anomalous Anticipation of Random Future EventsDaryl J. Bem, Patrizio Tressoldi, Thomas Rabeyron and Michael Duggan
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Feeling the Future: A Meta-Analysis of 90 Experiments on the Anomalous Anticipation of Random Future Events
Daryl J. Bem, Patrizio Tressoldi, Thomas Rabeyron and Michael Duggan, F1000Research, 2015
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