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**Show notes** In this episode, Dan and James welcome back Daniel Lakens (Eindhoven University of Technology) to discuss his new paper on justifying your alpha level. Highlights: - Why did Daniel write this paper? - Turning away from mindless statistics - Incremental vs. seismic change in statistical practice - The limitations to justifying your alpha - The benefits of registered reports - Daniel’s coursera course - What’s better? Two pre-registered studies at .05 or one unregistered study at .005? - Testing at the start of semester vs. the end of semester - Thinking of controlling for Type 1 errors as driving speed limits - Error rates mean different things between fields - What if we applied the “5 Sigma” threshold used in physics to the biobehavioral sciences? - What about abandoning statistical significance - How did Daniel co-ordinate a paper with 88 co-authors? - Using time zones to your benefit when collaborating - How can junior researchers contribute to these types of discussions? - Science by discussion, not manifesto - The dangers of blanket recommendations - How do you actually justify your alpha from scratch? Links Daniel on Twitter - Daniel’s courser course - Justify your alpha paper - Abandon statistical significance - Using the costs of error rates to set your alpha -
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