StMU Research Scholars

Featuring Scholarly Research, Writing, and Media at St. Mary's University
April 8, 2026

A dead fish passed a brain exam. On the Multiple Comparisons Problem.

Acknowledgements

I want to thank Dr. Lori Boies for her assistance with research and my parents for their continued support. 

Mary-Esther Leblanc

Hello! I am a Forensics Biology and Bioinformatics double major, minoring in Environmental Science. I am graduating in 2027. I have a special interest in wildlife forensics and conservation. I also really love making art and birdwatching; my favorite bird is a long tailed grackle!!

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Recent Comments

4 comments

  • Maurissio Gonzalez

    Hi Mary-Esther! For a moment I thought that the fish was actually somehow alive! Thank you for spreading awareness of how false positives can lead to the wrong conclusion. You managed to make an infographic about a hard-to-understand topic into a simple and easy to follow infographic, I had never heard of a voxel before and now I know that it the way fMRI divides the brain to scan for neural activity.

  • Christian Molina

    Hi Mary-Esther! What a title you have! It instantly inspired me with curiosity. Your infographic itself was really informative. I did not know anything about the world of neuroscience, but it makes sense that a “brain exam” is actually more than just one exam. And using a dead salmon to prove inconsistencies in these exams is definitely an intriguing way to bring light to an important issue. Good job!

  • Samantha Garcia Mora

    Hello Mary-Esther! Your title immediately made me curious about how such a result was possible. Upon reading further, I understood your explanation that combining different statistical tests can be harmful and yield insignificant results if a researcher only reports the ones that support their specific case. This experiment is a perfect warning against data manipulation. Overall, your infographic was neatly organized, insightful, and very easy to follow!

  • A

    What an interesting article! You explained the Bonferroni and False Discovery Rate so well and made it easy to understand with a real-life (or real-death in this case) example.

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