Normal Curves: Sexy Science, Serious Statistics
Normal Curves: Sexy Science, Serious Statistics

Normal Curves: Sexy Science, Serious Statistics

Regina Nuzzo and Kristin Sainani

Overview
Episodes

Details

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.

Recent Episodes

Holiday Survival Guide Part 2: The survey study edition
DEC 1, 2025
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



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

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64 MIN
Holiday Survival Guide: How to talk about scientific studies around the dinner table
NOV 17, 2025
Holiday Survival Guide: How to talk about scientific studies around the dinner table

Does a little alcohol really make you speak a foreign language better? This week we unpack a quirky randomized trial that tested Dutch pronunciation after a modest buzz—and came to the opposite conclusion the researchers expected. We use it as the perfect holiday case study: instead of arguing with Uncle Joe at the dinner table, we’ll show you how to pull apart a scientific headline using a friendly, practical checklist anyone can learn. Along the way we stress-test the study’s claims, take a quick detour into what a .04% buzz actually looks like, and run our own before-and-after experiment with two brave science journalists at the ScienceWriters2025 conference in Chicago. A holiday survival guide with vodka tonics, statistical sleuthing, and a few surprisingly smooth French phrases.

Statistical topics

  • Alternative explanations
  • Arithmetic consistency / GRIM test
  • Blinding
  • Effect size / magnitude
  • Generalizability / external validity
  • Observational studies vs. experiments
  • Outcome measurement
  • PICOT framework
  • Placebo and expectancy effects
  • Primary outcomes / pre-specification
  • Randomized controlled trials
  • Research hypotheses
  • Sample size 
  • SMART framework
  • Statistical significance (signal vs. noise)
  • Transparency and trustworthiness


Methodological morals

  • “​​You don't need a PhD to read a study. Just remember, PICOT and SMART.”
  • “A decimal point can mean the difference between life and death. Details matter.”

References



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

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61 MIN
Shingles Shot and Dementia: Could one vaccine protect your brain?
NOV 3, 2025
Shingles Shot and Dementia: Could one vaccine protect your brain?

What do chickenpox and shingles have to do with your brain? This week, we dig into two 2025 headline-grabbing studies that link the shingles shot to lower dementia rates. We start in Wales, where a birthday cutoff turned into the perfect natural experiment, and end in the U.S. with a multi-million-person megastudy. Featuring bias-variance Goldilockses, Fozzy-the-Bear regression discontinuities, a Barbie-versus-Oppenheimer showdown for propensity scores – and the hottest rebrand of inverse-probability weighting you’ll ever hear.


Statistical topics

  • Absolute vs. relative risk
  • Bias–variance tradeoff
  • Causal inference
  • Censoring
  • Confounding
  • Fuzzy regression discontinuity design
  • Healthy-user bias
  • Inverse probability of treatment weighting (IPTW)
  • Longitudinal study
  • Natural experiment
  • Negative controls
  • Optimal bandwidth
  • Propensity scores
  • Selection bias
  • Subgroup analysis
  • Triangular kernel weights


Methodological morals

  • “Propensity scores are the lipstick you put on observational pigs.”
  • “Natural experiments are a hot flirtation date with causality.”



References


Detailed Show Notes Page


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 and first gratuitous mention of sex
  • (03:56) - What are shingles, chickenpox, and the vaccines against them?
  • (12:30) - Fun facts about the varicella zoster and herpes viruses
  • (18:00) - A natural experiment in Wales
  • (21:54) - What is the Goldilocks optimal bandwidth?
  • (26:17) - Fuzzy regression discontinuity design demystified
  • (32:43) - Shingles vaccine vs dementia showdown
  • (34:13) - Absolute risk reduction paradox
  • (37:44) - Effects for men and women differ
  • (41:07) - A giant longitudinal study
  • (47:51) - Propensity scores demystified via Barbie and Oppenheimer
  • (53:55) - Using propensity scores to make matches
  • (58:08) - Inverse probability of treatment weighting demystified via more Barbenheimer
  • (01:02:27) - Attempts to rename IPTW for TikTok
  • (01:05:59) - Longitudinal study results
  • (01:10:00) - Smooch ratings and methodological morals: pigs and hot dates


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72 MIN
Scary Bridge Study: Can fear make you horny?
OCT 20, 2025
Scary Bridge Study: Can fear make you horny?

What if a haunted house makes your date look hotter? This week we dive into the infamous Scary Bridge Study — the 1970s classic that launched a thousand pop-psych takes on fear and lust. It’s the one with the swaying bridge, pretty “research assistant,” and phone number scrawled on torn paper. The study became legend, but how sturdy were its stats? We retrace the design, redo the numbers, and see how many math errors it takes to sway a suspension bridge. Along the way we find an erotic-fiction writing exercise, Adventure Dudes choosing their own experimental groups, and snarky replicators who tried (and failed) to make fear sexy again. We wrap with what the latest research says about when fear really does boost attraction — and when it backfires spectacularly. A Halloween story of danger, desire, and unconscious sexual drive.

This episode has a video version! https://www.youtube.com/watch?v=2coWoS_3460


Statistical topics

  • Arithmetic checks
  • Chi-square test
  • Confounders
  • GRIM test
  • Inter-rater reliability
  • Meta-analysis
  • Negative control
  • Randomization
  • Replication 
  • Sample size
  • Signal vs. noise
  • Statistical sleuthing
  • Subjective measurement
  • T-test

Methodological morals

  • “Those who don't verify their numbers dig their own statistical graves.”
  • “Famous doesn't mean flawless.”



References

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: Fear and Flirtation on a Suspension Bridge
  • (05:40) - A Classic 1970s Experiment with No IRB to be Found
  • (11:15) - Adventure Dudes Choose Their Own Bridge
  • (17:00) - The Sexy Story Scale
  • (22:20) - Cool Factor and the Negative Control
  • (28:54) - Grim Reaper Math
  • (36:29) - T-Tests, Chi-Squares, and Shaky Results
  • (42:44) - Electric Shocks and Damsels in Distress
  • (50:49) - Replications and Rejections
  • (58:39) - Wrap-Up, Methodological Morals, and a New Sexy Rating Scale
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64 MIN
Ultramarathons: Can vitamin D protect your bones?
OCT 6, 2025
Ultramarathons: Can vitamin D protect your bones?

Ultramarathoners push their bodies to the limit, but can a giant pre-race dose of vitamin D really keep their bones from breaking down? In this episode, we dig into a trial that tested this claim – and found  a statistical endurance event of its own: six highly interchangeable papers sliced from one small study.  Expect missing runners, recycled figures, and a peer-review that reads like stand-up comedy, plus a quick lesson in using degrees of freedom as your statistical breadcrumbs.


Statistical topics

  • Data cleaning and validation
  • Degrees of freedom
  • Exploratory vs confirmatory analysis
  • False positives and Type I error
  • Intention-to-treat principle
  • Multiple testing
  • Open data and transparency
  • P-hacking
  • Salami slicing
  • Parametric vs non-parametric tests
  • Peer review quality
  • Randomized controlled trials
  • Research reproducibility
  • Statistical sleuthing

Methodological morals

  • “Degrees of freedom are the breadcrumbs in statistical sleuthing. They reveal the sample size even when the authors do not.”
  • “Publishing the same study again and again with only the outcomes swapped is Mad Libs Science, better known as salami slicing.”


References

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 & claim of the episode
 00:44 Runner’s World headline: Vitamin D for ultramarathoners
 02:03 Kristin’s connection to running and vitamin D skepticism
 03:32 Ultramarathon world—Regina’s stories and Death Valley race
 06:29 What ultramarathons do to your bones
 08:02 Boy story: four stress fractures in one race
 10:00 Study design—40 male runners in Poland
 11:33 Missing flow diagram and violated intention-to-treat
 13:02 The intervention: 150,000 IU megadose
 15:09 Blinding details and missing randomization info
 17:13 Measuring bone biomarkers—no primary outcome specified
 19:12 The wrong clinicaltrials.gov registration
 20:35 Discovery of six papers from one dataset (salami slicing)
 23:02 Why salami slicing misleads readers
 25:42 Inconsistent reporting across papers
 29:11 Changing inclusion criteria and sloppy methods
 31:06 Typos, Polish notes, and misnumbered references
 32:39 Peer review comedy gold—“Please define vitamin D”
 36:06 Reviewer laziness and p-hacking admission
 39:13 Results: implausible bone growth mid-race
 41:16 Degrees of freedom sleuthing reveals hidden sample sizes
 47:07 Open data? Kristin emails the authors
 48:42 Lessons from Kristin’s own ultramarathon dataset
 51:22 Fishing expeditions and misuse of parametric tests
 53:07 Strength of evidence: one smooch each
 54:44 Methodologic morals—Mad Libs Science & degrees of freedom breadcrumbs
 56:12 Anyone can spot red flags—trust your eyes
 57:34 Outro: skip the vitamin D shot before your next run 


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58 MIN