Charles R. Twardy

Follow @ctwardy on Micro.blog.

Predicting replicability: scientists are 73% accurate

Congratulations to Michael Gordon et al for their paper in PLoS One!

This paper combines the results of four previous replication market studies. Data & scripts are in the pooledmaRket R package.

Key points:

  • Combined, it covers 103 replications in behavioral & social sciences.
  • Markets were 73% accurate, surveys a bit less.
  • p-values predict original findings, though not at the frequencies you’d expect.

Enough summarizing - it’s open access, go read it! 😀đŸ”Ŧ📄

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Coda

We used this knowledge in the Replication Markets project, but it took awhile to get into print, as it does.

It should be possible to get 80-90% accuracy:

  • These were one-off markets - no feedback and no learning!
  • A simple p-value model does nearly as well, with different predictions.
  • Simple NLP models on the PDF of the paper do nearly as well, with different predictions.

Replication Markets probably did worse ☚ī¸, but another team may have done better. TBD.