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How much more robust have the social sciences become since the beginnings of the replication crisis? What fraction of replication failures indicate that the original result was a false positive? What do we know with relative certainty about human nature? How much of a difference is there between how people behave in a lab setting and how they behave out in the world? Why has there been such a breakdown of trust in the sciences over the past few decades? How can scientists better communicate uncertainty in their findings to the public? To what extent are replication failures a problem in the other sciences? How useful is the Implicit Association Test (IAT)? What does it mean if someone can predict how they'll score on the IAT? How do biases differ from associations? What should (and shouldn't) the IAT be used for? Why do replications often show smaller effect sizes than the original research showed? What is the Lifecycle Journals project?

Brian Nosek co-developed the Implicit Association Test, a method that advanced research and public interest in implicit bias. Nosek co-founded three non-profit organizations: Project Implicit to advance research and education about implicit bias, the Society for the Improvement of Psychological Science to improve the research culture in his home discipline, and the Center for Open Science (COS) to improve rigor, transparency, integrity, and reproducibility across research disciplines. Nosek is Executive Director of COS and a professor at the University of Virginia. Nosek's research and applied interests aim to understand why people and systems produce behaviors that are contrary to intentions and values; to develop, implement, and evaluate solutions to align practices with values; and, to improve research credibility and cultures to accelerate progress. Connect with him on Bluesky or LinkedIn, or learn more about him on the COS website.

Staff

Spencer Greenberg — Host / Director
Josh Castle — Producer
Ryan Kessler — Audio Engineer
Uri Bram — Factotum
WeAmplify — Transcriptionists

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