The 365 Days of Astronomy Astronomy Cast Ep. 774: How Does Bad Science Happen?
Dec 8, 2025
The hosts delve into how bad science infiltrates reputable publications, highlighting alarming examples like cherry-picked supernova data. They discuss the pitfalls of p-values and the complexities of statistical noise impacting research conclusions. Exploration of cognitive biases sheds light on how biases influence findings. Academic pressures, funding needs, and the role of peer review networks are examined, revealing how these factors can skew scientific integrity. Ultimately, they reflect on the trade-offs between being a communicator and an academic.
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Robust Signals Survive Scrutiny
- Strong signals like the 1998 supernova results force the community to test many alternative explanations.
- Despite attempts to explain them away, unbiased samples supported cosmic acceleration over intrinsic supernova changes.
Use Conferences To Strengthen Papers
- Present work widely and respond to every plausible critique gathered from conferences and peers.
- Addressing diverse questions openly produces higher-quality, more defensible papers.
Career Incentives Encourage Siloed Research
- Career incentives push scientists to stick with initial projects and seek incremental results rather than change direction.
- This siloing encourages biased datasets and limits creative hypothesis exploration.