Data Science x Public Health

You’ve Been Using Statistical Power Wrong — Here’s What Actually Happens

BJANALYTICS

Use Left/Right to seek, Home/End to jump to start or end. Hold shift to jump forward or backward.

0:00 | 1:44

Statistical power is one of the most familiar concepts in biostatistics and research design. It is supposed to help determine whether a study can detect a meaningful effect. But what if power is being used the wrong way after the study is already finished? 

In this episode, we break down what statistical power actually means, why post hoc power language often misleads, and why large or “well-powered” studies are not automatically strong evidence.

👉 Enjoyed the episode? Follow the show to get new episodes automatically.

If you found the content helpful, consider leaving a rating or review—it helps support the podcast.

For business and sponsorship inquiries, email us at:
📧 contact@bjanalytics.com

Youtube: https://www.youtube.com/@BJANALYTICS

Instagram: https://www.instagram.com/bjanalyticsconsulting/

Twitter/X: https://x.com/BJANALYTICS

Threads: https://www.threads.com/@bjanalyticsconsulting