PodcastsMaatschappij & cultuurNormal Curves: Sexy Science, Serious Statistics

Normal Curves: Sexy Science, Serious Statistics

Regina Nuzzo and Kristin Sainani
Normal Curves: Sexy Science, Serious Statistics
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  • Normal Curves: Sexy Science, Serious Statistics

    Epidurals: Are labor epidurals really linked to autism?

    23-03-2026 | 1 u. 10 Min.
    Epidurals are widely used and widely trusted for pain relief during labor. So when a 2020 study reported that they might be linked to autism, it raised a troubling question: could a routine medical decision have long-term consequences? We follow that claim from headline to evidence—and watch what happens when other scientists take a closer look. We dig into the original study, a wave of replication studies from around the world, and a meta-analysis that tries to make sense of it all. Along the way, we unpack hazard ratios, Cox regression, inverse probability weighting, and sibling analyses—and why even sophisticated statistical adjustment can’t eliminate confounding. Plus: why bigger datasets don’t solve everything, what happens when results shrink after adjustment, and how a controversial study turned into a case study in science working as it should. Bonus: our first guest journalist interview!

    Statistical topics
    Confounding
    Cox regression
    Hazard ratios
    Inverse probability weighting (IPTW)
    Multivariable adjustment
    Observational studies
    Residual confounding
    Retrospective cohort studies
    Sibling analysis
    Statistical adjustment
    Statistical significance vs practical significance
    Survival analysis

    Methodological morals
    “Every time you adjust the model and the effect gets smaller, that's the universe whispering, maybe don't build a causal story out of this.”
    “Consistency across studies is gold.”
    “There's more to the story than the statistics.”

    References

    Dattaro, Laura. A questionable study linked autism to epidurals. Then what? Spectrum. April 18, 2023. 
    Dattaro, Laura. How to find baby sharks. Nautilus. September 9. 2024.
    Laura Dattaro’s home page.
    Phil Kearney’s blog post about the SMART framework.
    Qiu C, Lin JC, Shi JM, et al. Association Between Epidural Analgesia During Labor and Risk of Autism Spectrum Disorders in Offspring. JAMA Pediatr. 2020;174:1168-1175. 
    Joint Statement. Labor Epidurals Do Not Cause Autism; Safe for Mothers and Infants, say Anesthesiology, Obstetrics, and Pediatric Medical Societies. American Society of Anesthesiologists. October 12, 2020.
    Wall-Wieler E, Bateman BT, Hanlon-Dearman A, Roos LL, Butwick AJ. Association of Epidural Labor Analgesia With Offspring Risk of Autism Spectrum Disorders. JAMA Pediatr. 2021;175:698-705. 
    Christakis DA. More on epidurals and autism. JAMA Pediatrics. 2021; 175: 705.
    Mikkelsen AP, Greiber IK, Scheller NM, Lidegaard Ø. Association of Labor Epidural Analgesia With Autism Spectrum Disorder in Children. JAMA. 2021;326:1170–1177. 
    Hanley GE, Bickford C, Ip A, et al. Association of Epidural Analgesia During Labor and Delivery With Autism Spectrum Disorder in Offspring. JAMA. 2021;326:1178-1185. 
    Hegvik TA, Klungsøyr K, Kuja-Halkola R, et al. Labor epidural analgesia and subsequent risk of offspring autism spectrum disorder and attention-deficit/hyperactivity disorder: a cross-national cohort study of 4.5 million individuals and their siblings. Am J Obstet Gynecol. 2023;228:233.e1-233.e12. Epub 2022 Aug 13. Hu X, Wang B, Chen J, Han D, Wu J. 
    Association Between Epidural Labor Analgesia and Autism Spectrum Disorder in Offspring: A Systematic Review and Meta-Analysis. J Pain Res;17:227-240. 

    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

    (01:40) - Why autism is hard to study

    (05:18) - The original 2020 study

    (11:38) - Results & hazard ratios

    (15:24) - Confounding & adjustment

    (27:29) - Criticism & plausibility

    (35:08) - Replications begin

    (45:57) - Converging evidence & meta-analysis

    (52:07) - What does it mean?

    (54:57) - Guest & wrap-up
  • Normal Curves: Sexy Science, Serious Statistics

    Daylight Saving Time: Does springing forward cause heart attacks?

    09-03-2026 | 1 u. 4 Min.
    Every year we spring forward and lose an hour of sleep. But do we also lose a few heart cells? Some headlines claim that heart attacks spike by 24% after daylight saving time begins. In this episode we trace that number back to the research behind it—and what we find is more complicated than the headlines suggest. We examine a famous New England Journal of Medicine letter, a large international meta-analysis, and a massive modern U.S. registry study. Along the way we talk about incidence ratios, relative versus absolute risk, negative controls, and a haunting concept called harvesting. Plus: why bar charts are not for numerical data, why journalists love dramatic numbers, and how a bug collector helped invent daylight saving time.

    Statistical topics
    Incidence ratios / incidence rates
    Meta-analysis
    Negative controls
    Relative risk vs absolute risk
    Statistical vs practical significance
    Statistical Sleuthing

    Methodological morals
    “A bump in time isn’t always a bump in total.” 
    “If you already know the story you want to tell, you can always find a number to tell it.”  

    References
    Bourke, India. “An obsessed insect hunter: The creepy-crawly origins of daylight saving.” BBC Future, March 31, 2024. https://www.bbc.com/future/article/20240308-how-first-suggestions-of-daylight-savings-time-was-inspired-by-insects
    Fox-Skelly, Jasmin. “How Daylight Saving Time Affects Your Health.” BBC Future, October 25, 2025. https://www.bbc.com/future/article/20251024-how-daylight-saving-time-affects-our-health
    Hurst A, Morfeld P, Lewis P, Erren TC. Daylight Saving Time Transitions and Risk of Heart Attack. Dtsch Arztebl Int. 2024;121(15):490-496. doi:10.3238/arztebl.m2024.0078
    Janszky I, Ljung R. Shifts to and from daylight saving time and incidence of myocardial infarction. N Engl J Med. 2008;359(18):1966-1968. doi:10.1056/NEJMc0807104
    Jiddou MR, Pica M, Boura J, Qu L, Franklin BA. Incidence of myocardial infarction with shifts to and from daylight savings time. Am J Cardiol. 2013;111(5):631-635. doi:10.1016/j.amjcard.2012.11.010
    Mellour, Richard. “The builder who changed how the world keeps time.” BBC Future, March 11, 2016. https://www.bbc.com/future/article/20160310-the-builder-who-changed-how-the-world-keeps-time
    Rymer JA, Li S, Chiswell K, et al. Daylight Savings Time and Acute Myocardial Infarction. JAMA Netw Open. 2025;8(9):e2530442. Published 2025 Sep 2. doi:10.1001/jamanetworkopen.2025.30442
    https://graph2table.com/

    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

    (05:03) - Strange history of daylight saving time

    (16:06) - Swedish NEJM study

    (19:14) - Incidence ratios explained

    (22:13) - What the Swedish study actually found

    (31:11) - Absolute vs relative risk

    (34:27) - Harvesting effect

    (40:10) - 2024 Meta-analysis

    (45:37) - Large modern US study

    (55:23) - Where the “24% increase” came from

    (59:16) - Wrap-up
  • Normal Curves: Sexy Science, Serious Statistics

    Marathon Performance: Does high-carb fueling work?

    23-02-2026 | 1 u. 6 Min.
    How many carbs do you need to run your best marathon? Recent headlines suggest that 120 grams per hour is the magic number. But what’s the science behind that claim? To find out, we dug into the study fueling the hype — and were surprised by what we found. In this episode, we uncover numbers that mysteriously shift after peer review, figures that don’t match the text, and p-values that refuse to line up with their confidence intervals. Along the way, we swap bonking stories, revisit repeated-measures ANOVA, renew our antipathy for spreadsheets, and follow a trail of statistical termites to a surprisingly happy scientific ending.

    Statistical topics
    Article in press vs final publication
    Data management and workflow
    Multiple testing
    P-values and confidence intervals
    Repeated Measures ANOVA
    Statistical sleuthing
    Version control in research
    Within-person study design

    Methodological morals
    “Everyone makes statistical mistakes, not everyone fixes them.”
    “If the numbers aren't consistent, Excel is often part of the story.”
    “If a p-value doesn't survive the trip from text to figure, there's a problem.”
    Statistical Sleuthing Extended Notes

    References

    Ravikanti S, Silang KG, Martyn HJ, et al. 13C-labelled glucose–fructose show greater exogenous and whole-body CHO oxidation and lower O2 cost of running at 120 versus 60 and 90 g·h−1 in elite male marathoners. J Appl Physiol. 2025;139:1581–95. (final version)
    Article in Press of J Appl Physiol. 2025;139:1581–95. 
    graph2table AI data extraction from figures. Use the discount code normalcurves20 for 20% off!
    Bob Kempainen gutting out the win at the 1996 U.S. Olympic Marathon Trials.
    N=7 is a Dinner Party LinkedIn Post
    WebPlotDigitizer
    Holmer B. The new high-carb study that’s rocking the running world. Marathon Handbook. Dec 5, 2025.
    Ivy JL, Miller W, Dover V, et al. Endurance improved by ingestion of a glucose polymer supplement. Med Sci Sports Exerc. 1983; 15:466–471.
    Coyle EF, Coggan AR, Hemmert MK, et al. Muscle glycogen utilization during prolonged strenuous exercise when fed carbohydrate. J Appl Physiol. 1986; 61:165–172.
    Coggan AR, Coyle EF. Reversal of fatigue during prolonged exercise by carbohydrate infusion or ingestion. J Appl Physiol. 1987; 63:2388–2395.
    Below PR, Mora-Rodríguez R, González-Alonso J, et al. Fluid and carbohydrate ingestion independently improve performance during 1 h of intense exercise. Med Sci Sports Exerc. 1995; 27:200–210.
    American College of Sports Medicine. Position stand: Nutrition and athletic performance. Med Sci Sports Exerc. 1996.
    Jeukendrup AE, Jentjens R. Oxidation of carbohydrate feedings during prolonged exercise: current thoughts, guidelines and directions for future research. Sports Med. 2000; 29:407–424.
    Currell K, Jeukendrup AE. Superior endurance performance with ingestion of multiple transportable carbohydrates. Med Sci Sports Exerc. 2008; 40:275–281.
    American Dietetic Association, Dietitians of Canada, American College of Sports Medicine, et al. Nutrition and athletic performance. Med Sci Sports Exerc. 2009; 41:709–731.
    Triplett D, Doyle JA, Rupp JC, et al. An isocaloric glucose–fructose beverage's effect on simulated 100-km cycling performance compared with a glucose-only beverage. Int J Sport Nutr Exerc Metab. 2010; 20:122–131.
    Stellingwerff T, Cox GR. Systematic review: carbohydrate supplementation on exercise performance or capacity of varying durations. Appl Physiol Nutr Metab. 2014; 39:998–1011.
    Thomas DT, Erdman KA, Burke LM. Position of the Academy of Nutrition and Dietetics, Dietitians of Canada, and the American College of Sports Medicine: Nutrition and athletic performance. Med Sci Sports Exerc. 2016.
    King AJ, O’Hara JP, Morrison DJ, et al. Carbohydrate dose influences liver and muscle glycogen oxidation and performance during prolonged exercise. Physiol Rep. 2018; 6:e13555.
    Urdampilleta A, Mielgo-Ayuso J, Martínez-Sanz JM, et al. Effects of 120 vs 90 g·h⁻¹ carbohydrate intake during a mountain marathon on neuromuscular function and high-intensity run capacity recovery. Nutrients. 2020; 12:2099.
    Podlogar T, Bescós R, Wallis GA, et al. Increased exogenous but unaltered endogenous carbohydrate oxidation with 120 vs 90 g·h⁻¹ carbohydrate ingestion during prolonged endurance exercise. Front Nutr. 2022; 9:936691.
    Smith JW, Pascoe DD, Passe DH, et al. Curvilinear dose-response relationship of carbohydrate (0–120 g·h⁻¹) and performance. Med Sci Sports Exerc. 2013; 45:336–341.
    Lukasiewicz C, Vandiver KJ, Albert ED, et al. Assessing exogenous carbohydrate intake needed to optimize human endurance performance across sex: insights from modeling runners pursuing a sub-2-hour marathon. J Appl Physiol. 2024.

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

    Falling in Love: Do the 36 Questions Actually Work?

    09-02-2026 | 1 u. 1 Min.
    Can a list of questions really make two strangers fall in love? In 2015, a viral New York Times Modern Love column claimed psychologists had discovered a formula for love: 36 increasingly personal questions, plus four minutes of eye contact. Millions of people tried it. There was even an app. But when we followed the citation trail back to the science, the story started to unravel. In this episode, we crack open the 1997 study behind the “36 Questions,” unearth a forgotten pilot study with a different (and sexier) protocol, and track down the real origin of the eye-gazing task. Along the way, we break down why control groups matter, why scale midpoints mislead, and why group averages aren’t people. We also try the questions on each other—purely for science, of course—and ask the nerdiest Valentine’s Day question of all: can a list of questions really make anyone fall in love?

    Statistical topics
    Control groups
    Correlated observations
    Group averages vs individual inference
    Pilot studies
    Reference distributions
    Scale interpretation
    Units of observation

    Methodological morals
    “Before you repeat a scientific claim, follow it back to the original study and read it carefully.”
    “You can slice the data into subgroups all you want, but that doesn't magically give you a control group. It gives you meaningless results.”
    Our version of the “40 Questions” app!
    References
    Aron, A., Aron, E.N., Melinat, E. and Vallone, R., 1991. Experimentally induced closeness, ego identity, and the opportunity to say no. In Conference of the International Network on Personal Relationships, Normal, IL.
    Aron, A., Melinat, E., Aron, E.N., Vallone, R.D. and Bator, R.J., 1997. The experimental generation of interpersonal closeness: A procedure and some preliminary findings. Personality and social psychology bulletin, 23(4), pp.363-377.
    Catron, Mandy L. To fall in love with anyone, do this. New York Times. January 11, 2015. https://www.nytimes.com/2015/01/11/style/modern-love-to-fall-in-love-with-anyone-do-this.html
    Catron, M.L., 2017. How to fall in love with anyone: a memoir in essays. Simon and Schuster.
    Jones, Daniel. The 36 Questions That Lead to Love. New York Times. January 9, 2015. https://www.nytimes.com/2015/01/09/style/no-37-big-wedding-or-small.html
    Kashdan, T.B. and Wenzel, A., 2005. A transactional approach to social anxiety and the genesis of interpersonal closeness: Self, partner, and social context. Behavior Therapy, 36(4), pp.335-346.
    Lee, Anna G. Long After ‘36 Questions,’ Finally Asking a Bigger One. New York Times. May 16, 2025. https://www.nytimes.com/2015/01/09/style/no-37-big-wedding-or-small.html
    Sprecher, S., 2021. Closeness and other affiliative outcomes generated from the Fast Friends procedure: A comparison with a small-talk task and unstructured self-disclosure and the moderating role of mode of communication. Journal of Social and Personal Relationships, 38(5), pp.1452-1471.
    Vacharkulksemsuk T, Fredrickson BL. Strangers in sync: Achieving embodied rapport through shared movements. J Exp Soc Psychol. 2012;48(1):399-402. doi:10.1016/j.jesp.2011.07.015
    Mandy Len Catron’s TEDx talk: https://www.youtube.com/watch?v=v8Yo-PXN7UA
    Ivan Vendrov’s Twitter/X post about his exchange with Arthur Aron: https://x.com/IvanVendrov/status/1611809736823013377/photo/1
    https://www.scientificamerican.com/podcast/episode/love-and-the-brain-part-1-the-36-questions-revisited/
    Our version of the “40 Questions” app: https://www.normalcurves.com/questions-to-fall-in-love/

    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

    (04:42) - Viral NYT Modern Love essay’s cultural influence

    (09:32) - Science behind the 36 questions

    (15:07) - The 1997 paper myth busting

    (19:49) - Sleuthing the pilot study

    (30:41) - What did the 1997 paper actually show

    (42:21) - Discussion section

    (51:55) - Did it replicate

    (58:44) - Wrap up
  • Normal Curves: Sexy Science, Serious Statistics

    Bonus: Pheromones with commentary

    26-01-2026 | 1 u. 4 Min.
    While we’re on a short break between seasons, we’re revisiting some of our favorite episodes from Season 1. This week, we’re re-releasing our debut episode on pheromones and sexy sweat, with some added commentary up front..

    Sweaty t-shirt dating parties, sex pheromone dating sites, choosing your dating partner by sniffing them up — wacko fringe fads or evidence-based mating strategies? And what does your armpit stain have to do with your kids’ immune systems, or hormonal contraceptive pills, or divorce rates? 

    In this episode, we reach back into the 1990s and revisit the scientific paper that started it all: The Sweaty T-Shirt Study. They bring a sharp eye and open mind, critically examining the study and following the line of research to today. Along the way, they encounter interesting statistical topics – including correlated observations, within-person study design, and bar chart blasphemy – with a short, surprising detour into Neanderthal sex. 

    Statistical topics

    Bar charts 
    Correlated observations
    Cherry-picking
    Data and methodological transparency
    Multiple testing
    Post-hoc analyses
    Unit of observation / unit of anaysis
    Within-person study design

    Methodological morals

    “Repeat after me: Bar charts are not for numerical data.”
    “Those who ignore dependencies in their data are destined for flawed conclusions.”
     

    References

    Nuzzo, R. Ah, Love at first whiff. Los Angeles Times. May 19, 2008.
    Papamarko, S. Pheromone parties attempt to match singles by scent. Yahoo!life. April 12, 2012.
    Sainani, K. Stone Age Gene Swap. Stanford Magazine. November/December 2011.
    Aldhous, P. Darling, You Smell Wonderfully Different. New Scientist. 6 May 1995.
    Wedekind C, Seebeck T, Bettens F, Paepke AJ. MHC-dependent mate preferences in humans. Proc Biol Sci. 1995; 260(1359):245-249. doi:10.1098/rspb.1995.0087
    Hedrick P, Loeschcke V. MHC and mate selection in humans?. Trends Ecol Evol. 1996;11(1):24. doi:10.1016/0169-5347(96)80237-0
    Wedekind C, Seebeck T. Reply from C. Wedekind and T. Seebeck. Trends Ecol Evol. 1996;11(1):24-25. doi:10.1016/0169-5347(96)81061-5
    Wedekind C, Füri S. Body odour preferences in men and women: do they aim for specific MHC combinations or simply heterozygosity?. Proc Biol Sci. 1997;264(1387):1471-1479. doi:10.1098/rspb.1997.0204
    Havlíček J, Winternitz J, Roberts SC. Major histocompatibility complex-associated odour preferences and human mate choice: near and far horizons. Philos Trans R Soc Lond B Biol Sci. 2020;375(1800):20190260. doi:10.1098/rstb.2019.0260
     

    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

    (06:09) - Conclusion

    (06:16) - Breaking Down the Original Sweaty T-Shirt Study

    (06:16) - Study Design Flaws and Data Transparency Issues

    (06:17) - Media Reactions and the Study’s Public Impact

    (06:26) - The Pill's Influence on Scent Preferences

    (06:30) - Analyzing the Study's Questionable Results

    (06:30) - Other Studies and their results

    (06:34) - Overstated Conclusions and Wandering Discussions

    (06:35) - Pheromone Dating Parties

    (06:39) - Statistical Flaws: Correlated Observations Explained

    (06:55) - The Science of HLA Genes and Mate Selection

    (07:05) - Pheromone Dating Sites and Genetic Matching

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Over 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.
Podcast website

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