Our season finale again reviews the most noteworthy papers from the past year. We reflect on hosting student data talks, the use of errors in the classroom, and more. We also spend time thinking about our goals for the types of papers we read and what kinds of “shoulds” (or “shouldn’ts”) we hope to get from them. Later, we share the results of a follow-up analysis of our past most noteworthy papers. Where are they now, and what do we hope to see from the papers we highlight each year in the field more broadly?
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