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Normal Curves: Sexy Science, Serious Statistics

Normal Curves: Sexy Science, Serious Statistics

Written by: Regina Nuzzo and Kristin Sainani
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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.©2026 Regina Nuzzo & Kristin Sainani Science Social Sciences
Episodes
  • Coffee and the Heart: Is caffeine a trigger for AFib?
    May 18 2026

    Does coffee trigger atrial fibrillation — or have doctors been warning people away from caffeine without strong evidence? We dig into two recent randomized clinical trials testing whether caffeinated coffee causes dangerous heart rhythm problems. Along the way, we talk about AFib, survival analysis, intention-to-treat versus as-treated analyses, and one surprisingly elaborate effort to catch clinical trial cheaters with receipts and geolocation tracking. We also explore how a pope may have fueled a European coffee resurgence, why plants make caffeine, and how a game show competition explains hazard ratios.



    Statistical topics

    • adherence and compliance
    • as-treated analysis
    • confidence intervals
    • Cox proportional hazards regression
    • hazard ratios
    • intention-to-treat analysis
    • micro-randomization
    • multiple testing
    • PICOT
    • pre-registration
    • primary vs secondary outcomes
    • randomized clinical trials
    • sensitivity analyses
    • SMART framework
    • survival analysis



    Methodological morals

    • “Never trust conventional wisdom until you see the randomized controlled trial.”
    • “Trust your participants, but design the study so that they can be honest about their dishonesty.”


    References

    • Harrington D, D'Agostino RB Sr, Gatsonis C, et al. New Guidelines for Statistical Reporting in the Journal. N Engl J Med. 2019;381(3):285-286. doi:10.1056/NEJMe1906559
    • Marcus GM, Rosenthal DG, Nah G, et al. Acute Effects of Coffee Consumption on Health among Ambulatory Adults. N Engl J Med. 2023;388(12):1092-1100. doi:10.1056/NEJMoa2204737
    • Wong CX, Cheung CC, Montenegro G, et al. Caffeinated Coffee Consumption or Abstinence to Reduce Atrial Fibrillation: The DECAF Randomized Clinical Trial. JAMA. 2026;335(4):317-325. doi:10.1001/jama.2025.21056
    • @MarcKatzMD’s short video The Pitt- atrial fibrillation cardioversion scene


    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) - - Introduction
    • (02:15) - - What is AFib?
    • (04:36) - - Frisky Goats and Satan's Bitter Invention
    • (10:44) - - How Caffeine Works
    • (14:43) - - The CRAVE Trial
    • (15:53) - - PICOT: Evaluating the Study Design
    • (24:21) - - CRAVE Results
    • (31:04) - - Catching the Coffee Cheaters
    • (37:58) - - The DECAF Trial
    • (42:49) - - Time-to-Event Outcomes
    • (44:40) - - Hazard Ratios: Balance Beams Over Shark Tanks
    • (48:25) - - DECAF Results: Team Coffee Wins
    • (51:57) - - Why Would Coffee Be Protective?
    • (55:16) - - Rating the Claim
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    58 mins
  • Sleep and Exercise: Does working out on too little sleep speed up aging?
    May 4 2026

    Can exercise actually be bad for you if you don’t get enough sleep? A widely shared claim says yes—that working out while sleep deprived may speed up aging. In this episode, we put that claim under the microscope. We examine the study behind it, unpack how sleep and aging were measured, and explore key statistical ideas like interaction effects and flexible models that can “dance” to the data. With the help of a $400,000 handbag and a man with seven boats, we also break down what it really takes to show that one variable changes the effect of another. What we find: some clear study bloopers, inconsistent modeling results, and interpretations that are flat-out wrong.


    Statistical topics

    • Measurement error
    • Model specification
    • Piecewise linear regression
    • Regression models
    • Residual confounding
    • Splines
    • Statistical interactions
    • Survey design



    Methodological morals

    • “Before you believe something shocking, ask what had to go wrong to make it true.”
    • “If slight modeling changes flip the story, there wasn't much story to begin with.”
    • “Unethical Life Pro Tip: If you do not want your analysis critiqued, then just make it impossible to understand.”

    Kristin’s Biological Age Calculator


    References

    • Original Viral Tweet: Ng D. "People who slept under 6 hours and exercised actually aged faster." X. March 9, 2026.
    • Holmer B. Does exercise “age you faster” if you don’t sleep enough? Medium. March 16, 2026.
    • You Y. Chen Y. Liu R., et al. Inverted U-shaped relationship between sleep duration and phenotypic age in US adults: a population-based study. Sci Rep. 2024;14:6247.
    • Levine ME, Lu AT, Quach A, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging. 2018;10:573-591.



    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) - Introduction
    • (04:05) - What is NHANES?
    • (06:38) - The Sleep Duration Results
    • (12:50) - The 2015 Sleep Mystery
    • (17:10) - Measuring Biological Aging
    • (22:32) - The Penalized Cox Regression
    • (29:13) - Sleep and Aging Results
    • (31:00) - Cubic Splines and Dancing
    • (38:08) - Adding Exercise to the Mix
    • (42:16) - Boats, Handbags, and Interaction Effects
    • (49:39) - The Cubic Spline Exercise Analysis
    • (52:40) - The Opposite Result
    • (57:13) - Academic Writing Gone Wrong
    • (59:46) - The Writing Makeover
    • (01:02:31) - Rating the Claim with Gatorinis
    Show More Show Less
    1 hr and 6 mins
  • Sex Recession: Are young people really having less sex?
    Apr 20 2026
    Are young people really having less sex? Headlines about a “sex recession” suggest a dramatic decline—but what do the data actually show? In this episode, we trace that claim back to the research behind it—and find a story that’s far more nuanced than the headlines suggest. We examine large national surveys, including the General Social Survey and the National Survey of Sexual Health and Behavior, and uncover how small analytical choices can completely change the story. Along the way, we tackle ordinal versus quantitative data, why averages can mislead, how logistic regression reframes the question, and what happens when researchers try to time-travel with statistics. Plus: the surprising role of extreme values, why “eight fewer sexual encounters per year” may not mean what you think, and whether young men and women are really following the same trends.Statistical topicsAverage vs distributionBinary variablesEffect size vs statistical significanceLogistic regressionMeasurement / operationalizationOrdinal variablesOutliers / extreme valuesSelf-reported datagoogSocial desirability biasVariable coding / transformationMethodological morals“You shouldn't use data from people in their 80s to guess what they were doing in their 20s unless your data come with a time machine.”“When extreme values drive the average, the average stops describing most people.”ReferencesJulian K. Why are young people having so little sex? The Atlantic. December 2018. Accessed April 19, 2026. https://www.theatlantic.com/magazine/archive/2018/12/the-sex-recession/573949/Skwarecki B. Nearly half of Gen Z adults have never had sex: report. Newsweek. January 7, 2025. Accessed April 19, 2026. https://www.newsweek.com/nearly-half-of-gen-z-adults-have-never-had-sexreport-11052178Virginity survey. DatingAdvice.com. Accessed April 19, 2026. https://www.datingadvice.com/studies/virginity-surveyTwenge JM, Sherman RA, Wells BE. Declines in sexual frequency among American adults, 1989-2014. Arch Sex Behav. 2017;46(8):2389-2401.Ueda P, Mercer CH, Ghaznavi C, Herbenick D. Trends in frequency of sexual activity and number of sexual partners among adults aged 18 to 44 years in the US, 2000-2018. JAMA Netw Open. 2020;3(6):e203833.Herbenick D, Rosenberg M, Golzarri-Arroyo L, et al. Changes in penile-vaginal intercourse frequency and sexual repertoire from 2009 to 2018: findings from the National Survey of Sexual Health and Behavior. Arch Sex Behav. 2022;51(3):1419-1433.Wellings K, Palmer MJ, Machiyama K, Slaymaker E. Changes in, and factors associated with, frequency of sex in Britain: evidence from three National Surveys of Sexual Attitudes and Lifestyles (Natsal). BMJ. 2019;365:l1525. Published 2019 May 7. doi:10.1136/bmj.l1525Burghardt J, Beutel ME, Hasenburg A, Schmutzer G, Brähler E. Declining Sexual Activity and Desire in Women: Findings from Representative German Surveys 2005 and 2016. Arch Sex Behav. 2020 Apr;49(3):919-925. doi: 10.1007/s10508-019-01525-9. Epub 2019 Dec 4. Erratum in: Arch Sex Behav. 2020 Apr;49(3):927. doi: 10.1007/s10508-019-01622-9. PMID: 31802290.Twenge JM. Possible Reasons US Adults Are Not Having Sex as Much as They Used To. JAMA Netw Open. 2020;3(6):e203889. Published 2020 Jun 1. doi:10.1001/jamanetworkopen.2020.3889Kristin 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/XRegina - LinkedIn & ReginaNuzzo.com(00:00) - Introduction (04:04) - Fact-Checking the Headlines (07:37) - The Twenge Study and the GSS (16:02) - The Hill-Shaped Trend (19:23) - The Ordinal Variable Problem (24:59) - The Married vs. Never-Married Paradox (28:39) - Time-Traveling to the 1920s (32:35) - The Ueda Study: A Better Approach (36:22) - The Two Classrooms (43:39) - What Counts as Sex? (50:49) - Historical Sex Terms (54:32) - The Sexual Repertoire Results (57:50) - Why Is This Happening? (01:04:09) - Rating the Claim
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    1 hr and 9 mins
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