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Normal Curves: Sexy Science, Serious Statistics
Regina Nuzzo and Kristin Sainani
25 episodes
1 week ago
Normal Curves is a podcast about sexy science & serious statistics. Ever try to make sense of a scientific study and the numbers behind it? Listen in to a lively conversation between two stats-savvy friends who break it all down with humor and clarity. Professors Regina Nuzzo of Gallaudet University and Kristin Sainani of Stanford University discuss academic papers journal club-style — except with more fun, less jargon, and some irreverent, PG-13 content sprinkled in. Join Kristin and Regina as they dissect the data, challenge the claims, and arm you with tools to assess scientific studies on your own.
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Science
Society & Culture
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All content for Normal Curves: Sexy Science, Serious Statistics is the property of Regina Nuzzo and Kristin Sainani and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Normal Curves is a podcast about sexy science & serious statistics. Ever try to make sense of a scientific study and the numbers behind it? Listen in to a lively conversation between two stats-savvy friends who break it all down with humor and clarity. Professors Regina Nuzzo of Gallaudet University and Kristin Sainani of Stanford University discuss academic papers journal club-style — except with more fun, less jargon, and some irreverent, PG-13 content sprinkled in. Join Kristin and Regina as they dissect the data, challenge the claims, and arm you with tools to assess scientific studies on your own.
Show more...
Science
Society & Culture
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Holiday Survival Guide Part 2: The survey study edition
Normal Curves: Sexy Science, Serious Statistics
1 hour 4 minutes
1 month ago
Holiday Survival Guide Part 2: The survey study edition

Does the temperature of your coffee six months ago really predict whether you feel gassy today? This week we dissect a new nutrition survey study on hot and cold beverage habits that claims to connect drink temperature with gut symptoms, anxiety, and more—despite relying on year-old memories and a blizzard of statistical tests. It’s the perfect case study for our Holiday Survival Guide Part 2, where we teach you how to talk with Uncle Joe at the dinner table about one of the most common—and most fraught—study designs in science: cross-sectional surveys. We walk through our easy checklist for making sense of results, show how recall bias and measurement error can skew the story, and reacquaint you with nonmonogamous Multiple-Testing Dude, who’s been very busy in this dataset. A friendly, practical guide to spotting when researchers are just torturing the data until it confesses.


Statistical topics

  • Confounding
  • Cross-sectional studies
  • False positives
  • Measurement error
  • Multiple testing
  • PICOT / PIVOT framework
  • Recall bias
  • Research hypotheses
  • Sample size and power
  • Signal vs. noise
  • SMART framework
  • Statistical significance
  • Subgroup analyses
  • Survey design
  • Transparency and trustworthiness


Methodological morals

  • “When your measurement starts with ‘think back to last winter’ you might as well use a random number generator.”
  • “If the effect is only significant in certain subgroups in certain seasons for certain outcomes, it might just be a bad case of gas.”



References

  • Wu T, Doyle C, Ito J, et al. Cold Exposures in Relation to Dysmenorrhea among Asian and White Women. Int J Environ Res Public Health. 2023;21(1):56. Published 2023 Dec 30. doi:10.3390/ijerph21010056
  • Wu T, Ramesh N, Doyle C, Hsu FC. Cold and hot consumption and health outcomes among US Asian and White populations. Br J Nutr. Published online September 18, 2025. doi:10.1017/S000711452510514X



Kristin and Regina’s online courses: 

Demystifying Data: A Modern Approach to Statistical Understanding  

Clinical Trials: Design, Strategy, and Analysis 

Medical Statistics Certificate Program  

Writing in the Sciences 

Epidemiology and Clinical Research Graduate Certificate Program 

Programs that we teach in:

Epidemiology and Clinical Research Graduate Certificate Program 


Find us on:

Kristin -  LinkedIn & Twitter/X

Regina - LinkedIn & ReginaNuzzo.com


  • (00:00) - Intro
  • (04:36) - Did they have real research hypotheses?
  • (10:29) - Observational or randomized experiment?
  • (20:09) - PICOT and PIVOT
  • (26:20) - Memory problems
  • (32:03) - Five outcomes and measurement problems therein
  • (36:56) - SMART
  • (41:50) - Multiple Testing Dude is having a great time
  • (52:36) - How big is the effect?
  • (59:06) - Wrap-up and Irish Coffee rating scale

Normal Curves: Sexy Science, Serious Statistics
Normal Curves is a podcast about sexy science & serious statistics. Ever try to make sense of a scientific study and the numbers behind it? Listen in to a lively conversation between two stats-savvy friends who break it all down with humor and clarity. Professors Regina Nuzzo of Gallaudet University and Kristin Sainani of Stanford University discuss academic papers journal club-style — except with more fun, less jargon, and some irreverent, PG-13 content sprinkled in. Join Kristin and Regina as they dissect the data, challenge the claims, and arm you with tools to assess scientific studies on your own.